romifz/-paraguay-maps-quantitative-indicators-with-ocds-shared.ipynb

## -paraguay-maps-quantitative-indicators-with-ocds-shared.ipynb
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      "name": "[PARAGUAY] MAPS quantitative indicators with OCDS#shared",
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    {
      "cell_type": "markdown",
      "metadata": {
        "id": "view-in-github",
        "colab_type": "text"
      },
      "source": [
        "<a href=\"https://colab.research.google.com/gist/romifz/ce6da9ab25c45e316d78ccdfa61652c1/-paraguay-maps-quantitative-indicators-with-ocds-shared.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
      ]
    },
    {
      "metadata": {
        "id": "jxdWZkqD5kEo",
        "colab_type": "text"
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      "cell_type": "markdown",
      "source": [
        "# Using OCDS data to calculate quantitative MAPS indicators\n",
        "\n",
        "We explore using OCDS data to calculate the quantitative indicators within MAPS. MAPS is an assessment framework used to evaluate the procurement systems of a given country.\n",
        "\n",
        "MAPS defines main indicators, which are each accompanied by quantitative indicators. Quantitative indicators are either required or recommended. Among the required quantitative indicators, we looked at the subset that can be calculated from contracting data (as opposed to, for example, appeals data). These are:\n",
        "\n",
        "1. Key procurement information published along the procurement cycle (in % of total number of contracts) (sub-indicator 7(a)(c)):\n",
        "\n",
        "  1. Invitation to bid (in % of total number of contracts)\n",
        "  2. Contract awards (purpose, supplier, value, variations/amendments)\n",
        "  3. Details related to contract implementation (milestones, completion and payment)\n",
        "  \n",
        "2. Annual procurement statistics\n",
        "3. Uptake of e-Procurement (sub-indicator 7(b)(a))\n",
        "  \n",
        "  1. Number of e-Procurement procedures in % of total number of procedures\n",
        "  2. Value of e-Procurement procedures in % of total value of procedures\n",
        "  \n",
        "4. Total number of contracts (sub-indicator 7(c)(d))\n",
        "5. Total value of contracts (sub-indicator 7(c)(d))\n",
        "6. Public procurement as a share of government expenditure and as share of GDP (sub-indicator 7(c)(d))\n",
        "7. Total value of contracts awarded through competitive methods in the most recent fiscal year (sub-indicator 7(c)(d))\n",
        "8. Share of contracts with complete and accurate records and databases (in %) (sub-indicator 9(c)(g))\n",
        "\n",
        "To explore using OCDS data to calculate these, we chose two data sources that are relatively complete and correct. This notebook shows our calculations with Paraguay's procurement data (as published by the [DNCP](https://www.contrataciones.gov.py/)) and the previous checks we conducted to ensure that all calculations were correct. Paraguay's data is accessed by using an API and its documentation can be found [here](https://www.contrataciones.gov.py/datos/api/v2/#!/ocds).\n",
        "\n",
        "In the following sections, we assume knowledge of the OCDS and SQL. Additionally, we use pandas for graphs and a few calculations. The data was accessed through Kingfisher, which collected the data and saved it in a PostgreSQL database.\n",
        "\n",
        "It is worth noting that OCDS and MAPS have a few differences in concepts. When these differences affect the analysis, we note which OCDS field approximates the MAPS concept."
      ]
    },
    {
      "metadata": {
        "id": "79Chhr9j3Srn",
        "colab_type": "text"
      },
      "cell_type": "markdown",
      "source": [
        "## 1. Setup\n",
        "*The steps needed to connect to the data source.*"
      ]
    },
    {
      "metadata": {
        "id": "8npu2NX9MGBn",
        "colab_type": "text"
      },
      "cell_type": "markdown",
      "source": [
        "This section includes the initial steps we need to connect to Kingfisher and some utility functions."
      ]
    },
    {
      "metadata": {
        "id": "--8vgOiP_58f",
        "colab_type": "code",
        "outputId": "3d36cd7b-2b3d-4c13-c245-7abb23ed1275",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 377
        }
      },
      "cell_type": "code",
      "source": [
        "!pip install psycopg2 \n",
        "!pip install --upgrade -q gspread\n",
        "!pip install gspread-dataframe\n",
        "!pip install ocdsmerge"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Requirement already satisfied: psycopg2 in /usr/local/lib/python3.6/dist-packages (2.7.6.1)\n",
            "Requirement already satisfied: gspread-dataframe in /usr/local/lib/python3.6/dist-packages (3.0.2)\n",
            "Requirement already satisfied: pandas>=0.14.0 in /usr/local/lib/python3.6/dist-packages (from gspread-dataframe) (0.22.0)\n",
            "Requirement already satisfied: gspread>=3.0.0 in /usr/local/lib/python3.6/dist-packages (from gspread-dataframe) (3.1.0)\n",
            "Requirement already satisfied: pytz>=2011k in /usr/local/lib/python3.6/dist-packages (from pandas>=0.14.0->gspread-dataframe) (2018.9)\n",
            "Requirement already satisfied: python-dateutil>=2 in /usr/local/lib/python3.6/dist-packages (from pandas>=0.14.0->gspread-dataframe) (2.5.3)\n",
            "Requirement already satisfied: numpy>=1.9.0 in /usr/local/lib/python3.6/dist-packages (from pandas>=0.14.0->gspread-dataframe) (1.14.6)\n",
            "Requirement already satisfied: requests>=2.2.1 in /usr/local/lib/python3.6/dist-packages (from gspread>=3.0.0->gspread-dataframe) (2.18.4)\n",
            "Requirement already satisfied: six>=1.5 in /usr/local/lib/python3.6/dist-packages (from python-dateutil>=2->pandas>=0.14.0->gspread-dataframe) (1.11.0)\n",
            "Requirement already satisfied: idna<2.7,>=2.5 in /usr/local/lib/python3.6/dist-packages (from requests>=2.2.1->gspread>=3.0.0->gspread-dataframe) (2.6)\n",
            "Requirement already satisfied: certifi>=2017.4.17 in /usr/local/lib/python3.6/dist-packages (from requests>=2.2.1->gspread>=3.0.0->gspread-dataframe) (2018.11.29)\n",
            "Requirement already satisfied: urllib3<1.23,>=1.21.1 in /usr/local/lib/python3.6/dist-packages (from requests>=2.2.1->gspread>=3.0.0->gspread-dataframe) (1.22)\n",
            "Requirement already satisfied: chardet<3.1.0,>=3.0.2 in /usr/local/lib/python3.6/dist-packages (from requests>=2.2.1->gspread>=3.0.0->gspread-dataframe) (3.0.4)\n",
            "Requirement already satisfied: ocdsmerge in /usr/local/lib/python3.6/dist-packages (0.5.1)\n",
            "Requirement already satisfied: requests in /usr/local/lib/python3.6/dist-packages (from ocdsmerge) (2.18.4)\n",
            "Requirement already satisfied: jsonref in /usr/local/lib/python3.6/dist-packages (from ocdsmerge) (0.2)\n",
            "Requirement already satisfied: chardet<3.1.0,>=3.0.2 in /usr/local/lib/python3.6/dist-packages (from requests->ocdsmerge) (3.0.4)\n",
            "Requirement already satisfied: certifi>=2017.4.17 in /usr/local/lib/python3.6/dist-packages (from requests->ocdsmerge) (2018.11.29)\n",
            "Requirement already satisfied: idna<2.7,>=2.5 in /usr/local/lib/python3.6/dist-packages (from requests->ocdsmerge) (2.6)\n",
            "Requirement already satisfied: urllib3<1.23,>=1.21.1 in /usr/local/lib/python3.6/dist-packages (from requests->ocdsmerge) (1.22)\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "metadata": {
        "id": "I-QPDbliMVXC",
        "colab_type": "text"
      },
      "cell_type": "markdown",
      "source": [
        "Connect to server:"
      ]
    },
    {
      "metadata": {
        "id": "AaUpgXz24Y_A",
        "colab_type": "code",
        "outputId": "931c075f-6221-4c73-bf67-ec5e995ecfb8",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 35
        }
      },
      "cell_type": "code",
      "source": [
        "import getpass\n",
        "import psycopg2\n",
        "\n",
        "dbpassword = getpass.getpass(\"Enter database user password: \") #see /.pgpass file on server\n",
        "\n",
        "# db connection config\n",
        "conn = psycopg2.connect(\n",
        "    database = 'ocdskingfisher',\n",
        "    user = 'ocdskingfisher',\n",
        "    password = dbpassword,\n",
        "    host = '195.201.163.242',\n",
        "    port = '5432',\n",
        ")\n",
        "\n",
        "# clear db user password\n",
        "dbpassword = ''\n",
        "\n",
        "# create db cursor\n",
        "cur = conn.cursor()"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Enter database user password: ··········\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "metadata": {
        "id": "Ln5UIRj4-MxO",
        "colab_type": "text"
      },
      "cell_type": "markdown",
      "source": [
        "### Define functions"
      ]
    },
    {
      "metadata": {
        "id": "6Zxvn8K07Ecp",
        "colab_type": "text"
      },
      "cell_type": "markdown",
      "source": [
        "Define function to store query results in a pandas dataframe"
      ]
    },
    {
      "metadata": {
        "id": "TYkEHVatrEXC",
        "colab_type": "code",
        "colab": {}
      },
      "cell_type": "code",
      "source": [
        "import pandas as pd\n",
        "import matplotlib.pyplot as plt\n",
        "\n",
        "def getResults(cur):\n",
        "\n",
        "  headers = [desc[0] for desc in cur.description]\n",
        "\n",
        "  results = pd.DataFrame(cur.fetchall(), columns = headers)\n",
        "  \n",
        "  return results"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "metadata": {
        "id": "_ZYB4II6MbJF",
        "colab_type": "text"
      },
      "cell_type": "markdown",
      "source": [
        "### Set default variables"
      ]
    },
    {
      "metadata": {
        "id": "4EaO_1gcPROq",
        "colab_type": "code",
        "colab": {}
      },
      "cell_type": "code",
      "source": [
        "source_id = 'paraguay_dncp'\n",
        "data_version = '2018-11-20-14-21-31'\n",
        "ocid_prefix = 'ocds-03ad3f'\n",
        "\n",
        "base_querystring = \"\"\"\n",
        "  WITH records AS (\n",
        "    SELECT\n",
        "      data\n",
        "    FROM\n",
        "      data\n",
        "    JOIN\n",
        "      record on data.id = record.data_id\n",
        "    JOIN\n",
        "      collection_file_status ON record.collection_file_status_id = collection_file_status.id\n",
        "    JOIN\n",
        "      collection ON collection_file_status.collection_id = collection.id\n",
        "    WHERE\n",
        "      source_id ='\"\"\" + source_id + \"\"\"' and data_version='\"\"\" + data_version + \"\"\"'\n",
        "  )\n",
        "  \"\"\""
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "metadata": {
        "id": "rzzmbFGu0o6S",
        "colab_type": "text"
      },
      "cell_type": "markdown",
      "source": [
        "### Set pandas to show long text in cells"
      ]
    },
    {
      "metadata": {
        "id": "MnqFcJp80snZ",
        "colab_type": "code",
        "colab": {}
      },
      "cell_type": "code",
      "source": [
        "pd.set_option('display.max_colwidth', -1)"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "metadata": {
        "id": "_EBoASlAjjjA",
        "colab_type": "text"
      },
      "cell_type": "markdown",
      "source": [
        "## 2. Paraguay's Data Facts\n",
        "\n",
        "*This section shows a few properties from the Paraguay dataset that are relevant to the analysis.*"
      ]
    },
    {
      "metadata": {
        "id": "m8HS-Pzre7ih",
        "colab_type": "text"
      },
      "cell_type": "markdown",
      "source": [
        "Before diving into the calculations, we present a few particularities of Paraguay's data that may affect the results."
      ]
    },
    {
      "metadata": {
        "id": "CIN8kgN36s2B",
        "colab_type": "text"
      },
      "cell_type": "markdown",
      "source": [
        "### 2.1 Compiled Releases and Distribution of Records over Time\n",
        "*Here, we identify an appropriate data range to use.*"
      ]
    },
    {
      "metadata": {
        "id": "EyEE05Vy60TD",
        "colab_type": "text"
      },
      "cell_type": "markdown",
      "source": [
        "Paraguay publishes their data using Records with compiled Releases. To ensure we have access to complete data, let's verify that we don't have `compiledRelease`s missed. First, the total records existing in the dataset:"
      ]
    },
    {
      "metadata": {
        "id": "etQbfAvv0wmM",
        "colab_type": "code",
        "outputId": "d9f25c98-f3da-46c3-81bf-31cff16311d0",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 35
        }
      },
      "cell_type": "code",
      "source": [
        "querystring = base_querystring + \"\"\"\n",
        "  SELECT \n",
        "    data -> 'compiledRelease' as compiledRelease\n",
        "  FROM records\n",
        "\"\"\"\n",
        "\n",
        "cur.execute(\"\"\"rollback\"\"\")\n",
        "\n",
        "cur.execute(querystring)\n",
        "\n",
        "results = getResults(cur)\n",
        "\n",
        "len(results.index)"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "47517"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 23
        }
      ]
    },
    {
      "metadata": {
        "id": "VWZ-oQZJLfcZ",
        "colab_type": "text"
      },
      "cell_type": "markdown",
      "source": [
        "And the `null` values:"
      ]
    },
    {
      "metadata": {
        "id": "y8BAGMwJL32R",
        "colab_type": "code",
        "outputId": "2b1f8f69-5384-41be-f0c8-91052829b5a9",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 53
        }
      },
      "cell_type": "code",
      "source": [
        "results.isnull().sum()"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "compiledrelease    11484\n",
              "dtype: int64"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 24
        }
      ]
    },
    {
      "metadata": {
        "id": "wKs_Z-DpOXnD",
        "colab_type": "text"
      },
      "cell_type": "markdown",
      "source": [
        "A significant proportion of our dataset does not contain `compiledRelease`s. According to our research in the OCDS data generation by this publisher, compiled releases are generated only when the contracting processes goes past the `planning` stage. Let's try to verify this by checking the tags used in records that have no compiled releases:"
      ]
    },
    {
      "metadata": {
        "id": "I9bXVf1mtOSe",
        "colab_type": "code",
        "outputId": "84bf3ebd-ff49-4af8-9b07-3a19c7edae0d",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 80
        }
      },
      "cell_type": "code",
      "source": [
        "querystring = base_querystring + \"\"\"\n",
        "  SELECT\n",
        "    tag,\n",
        "    COUNT(DISTINCT ocid) AS processCount\n",
        "  FROM (\n",
        "    SELECT \n",
        "      STRING_AGG(tags::VARCHAR, ',') AS tag,\n",
        "      data ->> 'ocid' AS ocid\n",
        "    FROM records\n",
        "    CROSS JOIN jsonb_array_elements(data -> 'releases') AS releases\n",
        "    CROSS JOIN jsonb_array_elements(releases -> 'tag') AS tags\n",
        "    WHERE\n",
        "      data -> 'compiledRelease' IS NULL\n",
        "    GROUP BY\n",
        "      ocid\n",
        "  ) AS ncrTags\n",
        "  GROUP BY tag\n",
        "\"\"\"\n",
        "\n",
        "cur.execute(\"\"\"rollback\"\"\")\n",
        "\n",
        "cur.execute(querystring)\n",
        "\n",
        "results = getResults(cur)\n",
        "\n",
        "results"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "<div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>tag</th>\n",
              "      <th>processcount</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>\"planning\"</td>\n",
              "      <td>11484</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "          tag  processcount\n",
              "0  \"planning\"  11484       "
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 35
        }
      ]
    },
    {
      "metadata": {
        "id": "xQ4oSR87QqwG",
        "colab_type": "text"
      },
      "cell_type": "markdown",
      "source": [
        "Indeed, the records with no compiled releases contain information about the `planning` stage only. Now, MAPS indicators do not make any reference to planning in their quantitative indicators, and [according to OCDS on the initiation of a Contracting Process](http://standard.open-contracting.org/latest/en/getting_started/contracting_process/#defining-a-contracting-process)\n",
        "\n",
        "> An initiation process may be a tender, a direct contract award, or a call to award a concession.\n",
        "\n",
        "From which we can infer that processes that have not reached the `tender` stage at least do not represent contracting processes yet. Therefore, we will exclude these records from our analysis.\n",
        "\n",
        "Although these calculations are only for demonstration purposes, it would be good to have a full year of samples to calculate a few indicators. Let's start by making a graph of number of releases by date:"
      ]
    },
    {
      "metadata": {
        "id": "dnEEM0Rc-JGx",
        "colab_type": "code",
        "outputId": "072c125c-3d1e-48fc-ff3d-2af082d4e3e4",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 406
        }
      },
      "cell_type": "code",
      "source": [
        "querystring = base_querystring + \"\"\"\n",
        "  \n",
        "  SELECT\n",
        "    TO_DATE(SUBSTRING(releases ->> 'date', 0, 11), 'YYYY-MM-DD') AS \"date\", \n",
        "    COUNT(*) AS numOfReleases\n",
        "  FROM\n",
        "    records\n",
        "  CROSS JOIN\n",
        "    jsonb_array_elements(data -> 'releases') AS releases\n",
        "  WHERE\n",
        "    TO_DATE(SUBSTRING(releases ->> 'date', 0, 11), 'YYYY-MM-DD') IS NOT NULL\n",
        "  GROUP BY \n",
        "    SUBSTRING(releases ->> 'date', 0, 11)\n",
        "  ORDER BY \n",
        "    SUBSTRING(releases ->> 'date', 0, 11) ASC\n",
        "\"\"\"\n",
        "\n",
        "cur.execute(\"\"\"rollback\"\"\")\n",
        "\n",
        "cur.execute(querystring)\n",
        "\n",
        "results = getResults(cur)\n",
        "\n",
        "results.plot(x=\"date\",y=\"numofreleases\",figsize=(20,6))"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<matplotlib.axes._subplots.AxesSubplot at 0x7f266a40f278>"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 39
        },
        {
          "output_type": "display_data",
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7rCxqsUr321LEBg/EHMEhAABiKsdFOMIsImkD3mGmMjn/GwKTxBUQisg8KqJM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CEoJG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\nIQAAAAAAACdGOAQAAAAAAODE/hfO4Nz85hltRQAAAABJRU5ErkJggg==\n",
            "text/plain": [
              "<matplotlib.figure.Figure at 0x7f266a07fc18>"
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "metadata": {
        "id": "5mdLdqAuDN59",
        "colab_type": "text"
      },
      "cell_type": "markdown",
      "source": [
        "Here we can see that there is a spike of releases around January 2016. After that, the releases seem to be regular, so let's redraw the graph by looking after January 2016 only:"
      ]
    },
    {
      "metadata": {
        "id": "2xXAZ3kiDO1D",
        "colab_type": "code",
        "outputId": "944d756e-e8d9-4bc0-a045-26cdf664b205",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 437
        }
      },
      "cell_type": "code",
      "source": [
        "results.plot(x=\"date\",y=\"numofreleases\",figsize=(20,6),ylim=(0,1200), xlim=('2016-01-01','2018-11-22'), rot=90)"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<matplotlib.axes._subplots.AxesSubplot at 0x7f266a07f2e8>"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 40
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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HMHOILCIAaF5+zyHWAgA1QHAIAIAYCd4EcDsAAM2LzCEAtURwCACAGAndBHBDAABNy8n9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\nK2aRwLcDrafFla0JluZzXHu4BXL+5NPPm/+Pi9JUoaFGD5EkK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3fDkJoWciOGmGZZalWU\nGQUM52ggmk5rZpRb9jQBjD60Vwbd0Ti7jSbE0aTC0oI88Eul7IG6YhlloNzrPLAmo4CsSaCA18dK\nsT2eYDoFsrl+9yXLEqCQwQf+0vf1HIqZHgf7w8A39zh8OzDLAp6BQwpzSCqdmaaJeRb7Zd71SS4j\n5pBkSB3xEkmSBFVZtVljTunVmENKwAHo1H/7N4TFdBIGlroaXUtjH59QXc8hKajrLCtLtG18EVj/\n/oG9NYB/oqn62NVziINDw0GKv/S2m3D84DImRYV/+v7PAACWZgCGeN/m53LwEry9wCFOg1ZMyok5\nFJonop5Dyr1z2aGx5maVrW2OmbvkOUTMoVWvWlk4cAbq56IMMvbCTBBO7y8E5hAPnLUqUJqsLCSH\nsphDPQK4rjIgv6JJ+DoATFI+qbC8EAb2NBZbrLqXn9G076u7z45MUNUxs5nTCl3+q50rEJYH12Cj\nADxlSp+cNYXlfRUDh4QqVdL5aPuK43PEdLred6qaZE+FfWneHQWYQ/SuadJiAltWGThExw1Ji1+6\nMsIfffJZ7F0e4trDK3jkyfN4vrGYcP1M3vuu28Vj9G00Dl4UwCHqL8UnC47dRB4BTJI0QTUFK2Vv\nB4n1Zzs8Aae563Eu3wHagHpuOHuiMMYc0uYWzqgfiuBQWH7Uyoz8hFZfsCvWamBPNi7eiZwtS5tK\nyQpLR/QcijCsduRFmCUox02fvLkyHJe4a1aPOWRJ72UwhVQ7lkdmkqAuOV+/N66SxzCHRjJzyLJM\nCUiw6RoP8gwFbMuZUOvKHPKLTbBtQlVDbV8tmeA2uv5uMsdtXzfg0OWNsVk0fv6rF7C+Ocb59e3W\nzDRJ8L3fcgMeuPMIfuuPnsAjT9bsooN755EkCX7hvfcH0Xd6IC9v1r41vMQxvVyb2wXGRYXlhQEO\n7p033hix1oJD4RdRk3bM0nzjz7R5iQRD6gDaCvgTbZIkje50Km7XmpUVUNgPRVl5ixTXONp98Jfm\nB0ZC4iHAeXhi8IxARWphBUAuY6w1WqzFDITdUtGxFgMgQo0osFJlF8BlDs3ONHCfCSuYFBYaeZpg\nZP7fB+ziA6Vw3Cw1GR2pgh210AJ/0vgVAfbiWsu8xGRlxlxVodmHtpsgKcJE06qVDYTjaqxFUVam\nSA946+I3AbRjwfe86SRee8vB3rKy8+s1OPSz3383br9+TbyfEqDWpdHYvzDMkWfJbKC44m0CMNZL\nw1RLnefGGJIGwaG0+Z58XEB+77Smyspc5lDz+67nUJokHlvLVJ0MgPFZWssrJFlZt1L2uiRNu/7S\nce1FawAc4rLrXWIO2bJphTmkAEuuOWq9b3gRDrTXWKuqV/fJBaxsQMTtS76juSW8fuLnWn9XBthn\nrcwWlhbX39d8m8YCvb/rGA/oHmKqIXXMc0h4RGmsDlUrM/93g5UYc6iTrKw/c+jff/QpjIsKP/Tm\nk1jfnOCRJ8/j8Wdqv7k+wH2fpsnK6H2gBKWbOB5EwAmSJumG1LuLDnmyMvIcYr49gzztve6NJYE1\nQ2qdOaSDHm1Vq0qQlYXHrp02unelAA7txAg7S9NawlX4QIwnK1MSiyFvV2AWoL6WWmVp5YM4it2F\n+zua55Cv7iCApwaHvGuR1RJfwE+C+cwhDRxyY4RmbAtI0rSmeQ6ppewVUAlwEjSKasH9rttawss3\niCE1DcoLcxnKaoqPNv4SJBmjdmjfIv7W991lLjw9AJwC7zZ6cS8IWQza/8LlOghZnMvx3/zwvfjx\njhkJIyvrCg7twhwg0Q7zLLUW8KMxGbuFkU0pCOKDz6wlnSW2jOa5Qn+TYZ+7iOH90CpTac7xgMQc\nStpqZT0Gh/rYzQJSeMm5aV1vz6Ed6ZgTlrV3BqZkJ5NGu68mK5OYQyFvkFiLUYXJUK4GG8MDZwjE\nISaH+30NlLKBo3AGN8a+0QIh6bj2hO8uBlj/ROYQC17c518IJrsyh+gzsSoP+4jGgtWlIe64fs2U\nNp0UFc5d2sIv/cbDeLLxjJDaeSYtdp/b+287BAA4yAoS9GkE3C7MZfa42KEQATW+GNBYX8ZzKPAK\nBD2Hms/tGkoyANe1abJXl2FoqmM51cpWl3zZtccc8iSQtpQn5NGilrInWZkQlEfN3DVD6pCsbFbP\noZQABv190ioixkAcbX7TroXISNIWvIatJFcr21lAEu6TN4dl8rmL10lhUfVhooX6a+j9XCqQJCrD\nx65WFr53ksRBZaVG5lgD4kTAIc9ziECcBhT0q5XRMcIAKDFxJHBIShC8eHETH/7sCzi8tog3330U\nJw7VDP8nX1gH0C9h2afRcVtZWTsH0Dv8kgAcAXrwC8B4HKqG1Dvsv/+bNjhE6yleyn4Wlo0FOgXW\nZe3vyn6ngM0CGWTdZWVFOfWqlWlj104brRXpfbckXpEEptZqWVm9fnWTeib5T8BFQGo1HKQ+o2Qn\ngJXp01QAacJxlvvdUIVscd+m/5sCcwjQ/Yp4lcC6j/a+lq9VwHqCAJQ+CUZN0q/FLRr7yj2uVlhD\n+pu3tlrZN4jn0MX1euB9y6uPIU0S/KdPPAsAxjCatzxrvYXcRbPU6IG70GShLXCoGYQurBM4lWN1\ncdgZGNF8Rszv77YhtYMsZ2lqnOapbQeqldkDtH+OPADuU9JZ02HWfQwHx6FysdSW5sP0wFyZmGNU\nvDxLURQVynLay5CaHysmIepfyl4fQPR902CpQ74wvVqysmh59xky70AIdGoM5SRZWcSYta1WFjGk\nnrGUfSxI1QCYkITO9MnZN4mAfmq1MiGAimW822M1AUfAANX8vuC5NcxTTIoSDz92Fl9+/hJ+8Tce\nNv5PbiPm0H7HBBQAfuIv3I73/bXX4Y7r18R9Y+01Nx/A3TcdwIE9C6qvltasUvbKM2GqlbnvZfNn\nEDRqjq+NZb19IwIlhQGf2uwyh9rS1P79cGVAnqyM3rtKYoKE3w/OHDLBfOaPK9F3R5OVdTCk7jV+\nkTQpIhMNsXRC+4Y8brx9e3oOaTJeuk+l844a37GdgEPkORQBPQBnDFXGRHffEABH72T9Wept7wRY\nBe5BTP7lSnz5cTX5V9TLSByP5b7W/fXPm5q7TgixnaRAJWl2JR+31eV2vKC5UwKHPvX4OZTVFN/1\nhmuRpalhmlLrMzb3abR2pEq9bmCZoF1Tu2ugXAlgAZgqjZIh9VWrVuYxh+p+FcyQuu/atD6ufq6Z\nwizizxcH+QZ5JoBDsoSIM4dofbyTuTDWMgMORZhDPf198jTBdEoFeuT4R5aVsbk74k/ZFxyyDKmF\nWCl0XBfA0ao5h2RYraxMY5vJjCRjSK0wh0JVrrfHJZLEB5a0pkn37OsUjmtlhmH4GmssYbcZH+Vv\nGHCoQeWvO7KCO29Yw3ozqbjMIWrkGXTq/Eb02HSTzgvg0HCQIkla5lDfzESruw8P7lr2fpbWln5v\nde95EyxTc9F1avxFjTGHFmZmDvn7WSVVI4we9xItzXNT0PDLqJmzAbKsbAqIAEOs0fclY+I81a+F\n1iQ2R98+AbGsct9JI/zM2NdfX0z3A4d40C1luhPG/JGzAkCAiZPYVZNCAJZ7b2Om3hpQbIGjEthC\ni/+ouWq4TyJzaMjBofAzIXkO0VYtIJENqcMTOlCPQZOiMoEDAHziS2e8733my+fw5AuXsG9lLsCi\nSHHT8T3e513b/bcdxi/+zTd5hphd/eYAl30SvnfEHJLANCDuObSrhtR8weXo+N0S4CbjXLYZ5/Gk\nsuZQ09cIGJ+l9Tvbsn/4e9c+fx5DgTOHSj+YN6BsVJLZnQJOjTMIejEfOzI9PD+cCNjrVtUKbetd\nrcwK6sKAldVXGgMMcJH0Tn6pXjrsOiWJs4aInmsbOIayruW0ZQRIldBirK80SYLParAipdk3vE2r\ndhkvZR/+3ThzyD52iMFn/qZ7pyQPiC0jy8r84OXspbq60HWH6+TvvhV7/d+H1dmn8XXa/DCznq8k\nSayxxe0Dv19iKfskwZQZUtvMIXl832lziw54srJx2XveAOx7HWcOhecWzqh3ZWUyI0YCh3zm0G4b\nUpOsTEtKUJ/7Hheo47ResrLIvK/NLV36REBYqE9AxKpEWu8pgIkBhwSWFN8OaMyhRlbmMYfCihNe\nJa1LZVtp3yTxj2sBZR7LPzHveUxWFvLJM99V1iJz33DMoYbOuW9lDm+844j5XGIOAcCJg7UnUBdj\nUxowjJEmm6iSJMH8MDfUWddpPdb6Mod2I0MgoaB5lqCoWLWycWnkZvZ3w4GBu33Wks6h7In0XcB/\nqTVZ2cChXOuG1DraatPUZxvcJbYAp4VL17jTcXN/gow1rapBag3usw2GgA8YxjIVISlAn9+MLdJ9\nIEwPHIgqHDXGVQzlQubbQDy7Ky/+wwEJ7ZvAnxTIRD50XIu1qGSr6VytUq3N8TRPidAkRdulsWCQ\n1wy3sxe3zGfPnLlifWd7XOBXPvAoMAV+6O03i7+xm41fi1nltNq9qz2HfMYA/RXKBLWeQ3IQCsxS\nrYwv4BUPsUHWLsqbeZaSNm6lMkAHaYH6HEK+QV3YGlVk37gkM9w/aRwHdsNzyD8uv5fumEnecW7/\nqGklz63z6elbYwPqut+B+zndn75JB6A9hxjooc3dGhNKA/GrqmIsNulZ7D+fadLirtXKVE+6DoCV\n97uKr5nG7PVYqs6+xpA64rGXpYlj8NwAFc2a+9T5DfzHP3sGZVXh3Et1kvbg3loqPMhTrC62YMxi\nz/VU18bXjtL4z98JN3lgmzQLCddmvSGXsq//vdrMIVdWNpqUveXI9XH1db7KSg14cVIhAXr+pIRq\nyxzSq5X1XdvGWl3BqwWRQ/4//SVcDUA6EZhDxruPABMbTKTznRMKUezIW5RdY7hSx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LKA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\nD8f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F2VwdAoneo6ysTLt371ZZWVmfx5gD5mBfYCb6DmZAF+MvK2tra9OOHTu0Z8+eHtcX\nFxQU6LbbbpPT6bS5QgQS/YfUcQO65ORkhYeH99heUVGhKVOm2FQVgqmlpUXl5eWqqqpSQ0ODHA6H\nkpOTNWnSJBUXFysqKsruEhEg9B6StHfvXuXl5fXp91/+8hfNnTvXpqoQTOwLzETfITEDOhm/OOQL\nbwjNRv9BBiBJhw4dUl5ent1lwAb0HocPH9aIESPsLgM2Y19gJvoOU2cAp0X4wLcTmY3+gwxAklat\nWmV3CbAJvYdJ304D/9gXmIm+w9QZwOKQD5xMZTb6DzIAiRyYjN6DDEAiB6ai7zA1A1xW5kNra6tc\nLpfdZcAm9B9kAJJ08uRJZWRk2F0GbEDvQQYgSXV1dUpPT7e7DAQZfYepGTD+zKH3339fzz77rCSp\npqZGc+fO1dSpU3XnnXfq4MGDNleHQKP/IAOQpJkzZ+rFF19Ua2urdxtvDM1A70EGIHXcY+Tee+/V\n0qVLdfLkSf3oRz/SwoUL9f3vf19HjhyxuzwECH0HGejGMtzcuXOtw4cPW5ZlWYsWLbL27dtnWZZl\n1dbWWt/5znfsLA1BQP9BBmBZlvXd737XevXVV62ioiLr97//vVVXV2d3SQgSeg8yAMuyrOLiYmv/\n/v3Wrl27rMLCQuutt96yLl++bO3du9dauHCh3eUhQOg7yECXULsXp+zm8XiUm5srSQoJCdHYsWMl\nSUOGDLGzLAQJ/QcZgCQ5nU7NmTNHs2fP1htvvKEVK1aovr5eOTk5SkxMVGlpqd0lIkDoPcgAJMnh\ncGj06NGSJLfb7f3W0vz8fGPvP2IC+g4y0MX4xaHZs2dr3rx5mjVrlrKzs/XYY49p3Lhx2r17twoK\nCuwuDwFG/0EGIHXdeDAkJESzZs3SrFmzdPHiRdXU1KihocHm6hBI9B5kAJLkcrn0yiuv6MyZM3K5\nXPrDH/6gwsJCvfvuu4qMjLS7PAQIfQcZ6MINqSXV1tZq165dqqurk2VZGjhwoCZPnqwbb7zR7tIQ\nBPQfZADr1q3T4sWL7S4DNqD3IAOQpPr6em3YsEEJCQn63ve+pxdeeEH79+9Xdna27r//fiUlJdld\nIgKAvoMMdGFxqB/V1dWaMGGC3WXAJvQfZAASOTAZvQcZgEQOTEXfYVoGjP+2sv6sWbPG7hJgI/oP\nMgCJHJiM3oMMQCIHpqLvMC0Dxt9z6OGHH/a53bIs1dbWBrkaBBv9BxmARA5MRu9BBiCRA1PRd5CB\nLsYvDp0/f175+fkaM2ZMj+2WZenEiRM2VYVgof8gA5DIgcnoPcgAJHJgKvoOMtDF+MWh1atXq7S0\nVPfcc4+ioqJ6PBYdHW1TVQgW+g8yAIkcmIzegwxAIgemou8gA124IXU/2tvb5XRyWyZT0X+QAUjk\nwGT0HmQAEjkwFX2HaRkw/swhj8ejLVu2qLKyUg0NDZKk5ORkFRYW6o477rC5OgQa/QcZgEQOTEbv\nQQYgkQNT0XeQgS7Gnzn04x//WFlZWZo2bZoSExNlWZZOnz6tnTt36ty5c/rVr35ld4kIIPoPMgCJ\nHJiM3oMMQCIHpqLvIANdjD9zqKGhQU8//XSPbVlZWRo3bpyKi4ttqgrBQv9BBiCRA5PRe5ABSOTA\nVPQdZKCLORfQ+eFwOLRz5055PB7vttbWVm3fvl0ul8vGyhAM9B9kABI5MBm9BxmARA5MRd9BBroY\nf1nZqVOn9Mwzz2jv3r26ePGiLMuS2+3WxIkT9cADDyg1NdXuEhFA9B9kABI5MBm9BxmARA5MRd9B\nBroYf1nZe++9p6qqKl24cEFTp07VihUrvF9Zd8899+ill16yuUIEEv0HGYBEDkxG70EGIJEDU9F3\nkIEuxl9Wtn79er366qvas2ePxo4dq5KSEn322WeSJMNPqjIC/QcZgEQOTEbvQQYgkQNT0XeQgS7G\nLw6FhIQoLi5OTqdTRUVFuu+++1RSUqKmpiY5HA67y0OA0X+QAUjkwGT0HmQAEjkwFX0HGehi/GVl\nY8aM0f33369nnnlGERERmj59usLDw7Vo0SKdOXPG7vIQYPQfZAASOTAZvQcZgEQOTEXfQQa6GH9D\nakmqrq7W+PHje6wMtrS06PXXX1dRUZGNlSEY6D/IACRyYDJ6DzIAiRyYir6DDHRgcQgAAAAAAMBg\nxt9zCAAAAAAAwGQsDgEAAAAAABiMxSEAAIAv8NOf/lRbt271+3hFRYVxN64EAADXDhaHAAAAvqTy\n8nKdPXvW7jIAAAD+JdyQGgAAoJf29nYtX75cH374odLT03XhwgV961vf0okTJ7Rnzx5JUkpKin79\n619r8+bNevLJJ5Wbm6snn3xSbW1tWrVqldra2uTxePToo49qxIgRNv9GAAAA/oXaXQAAAMBXTWVl\npY4ePaotW7bo0qVLmjFjhmbOnKnIyEht2rRJTqdTJSUleuedd7RgwQL98Y9/1G9+8xtlZ2dr9uzZ\nWrNmjbKyslRTU6Nly5b1e0kaAACA3VgcAgAA6OXIkSMaPXq0HA6HIiMjdcMNNygkJEROp1MLFixQ\naGiojh49qubm5h7P+/TTT3Xs2DEtX77cu62lpUXt7e1yOrmaHwAAfDWxOAQAANCLZVlyOBzeP7e3\nt+v06dPatm2btmzZoqioKD300EN9nudyuRQWFqaNGzcGs1wAAIAvhY+wAAAAehk6dKgOHjwoy7LU\n0tKigwcPKiIiQunp6YqKilJdXZ3effddtba2SpIcDofa2toUExOjjIwMVVRUSJKOHTumZ5991s5f\nBQAA4AtxQ2oAAIBerly5oqVLl+r48eNKS0uTx+NRQUGBduzYIYfDoWHDhmnkyJFas2aNNmzYoPLy\nclVWVmrVqlWKiIjQ448/7l0weuSRRzR69Gi7fyUAAAC/WBwCAAAAAAAwGJeVAQAAAAAAGIzFIQAA\nAAAAAIOxOAQAAAAAAGAwFocAAAAAAAAMxuIQAAAAAACAwVgcAgAAAAAAMBiLQwAAAAAAAAZjcQgA\nAAAAAMBg/wdcCrKPQYvTzgAAAABJRU5ErkJggg==\n",
            "text/plain": [
              "<matplotlib.figure.Figure at 0x7f266a4d7ac8>"
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "metadata": {
        "id": "Sp0eZXRCNztf",
        "colab_type": "text"
      },
      "cell_type": "markdown",
      "source": [
        "Since 2016 to 2018 seems to be a good example, we will use it 2017 for annual calculations for the indicators that require so."
      ]
    },
    {
      "metadata": {
        "id": "YwHEUFCrOY6_",
        "colab_type": "text"
      },
      "cell_type": "markdown",
      "source": [
        "###2.2. Full Process Information\n",
        "\n",
        "*Here, we verify the stages of the contracting process included in data*"
      ]
    },
    {
      "metadata": {
        "id": "veQOqkUZO4F3",
        "colab_type": "text"
      },
      "cell_type": "markdown",
      "source": [
        "As seen before, Paraguay publishes a record for each contracting process and each of one has its own compiledRelease with the full information about the process. Let's verify which tags are used:"
      ]
    },
    {
      "metadata": {
        "id": "8R1b8_9eO13y",
        "colab_type": "code",
        "outputId": "10efee7a-8e27-4e63-d108-3d6050297298",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 173
        }
      },
      "cell_type": "code",
      "source": [
        "querystring = base_querystring + \"\"\"\n",
        "\n",
        "  SELECT\n",
        "    releases ->> 'tag' AS tags,\n",
        "    COUNT( DISTINCT data->> 'ocid' ) AS ocidCount\n",
        "  FROM\n",
        "    records\n",
        "  CROSS JOIN jsonb_array_elements(data -> 'releases') AS releases\n",
        "  WHERE\n",
        "    data -> 'compiledRelease' IS NOT NULL\n",
        "  GROUP BY releases ->> 'tag'\n",
        "\"\"\"\n",
        "\n",
        "cur.execute(\"\"\"rollback\"\"\")\n",
        "\n",
        "cur.execute(querystring)\n",
        "\n",
        "results = getResults(cur)\n",
        "\n",
        "results"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "<div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>tags</th>\n",
              "      <th>ocidcount</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>[\"award\"]</td>\n",
              "      <td>29702</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>[\"contract\"]</td>\n",
              "      <td>29700</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>[\"planning\"]</td>\n",
              "      <td>36033</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>[\"tender\"]</td>\n",
              "      <td>36033</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "           tags  ocidcount\n",
              "0  [\"award\"]     29702    \n",
              "1  [\"contract\"]  29700    \n",
              "2  [\"planning\"]  36033    \n",
              "3  [\"tender\"]    36033    "
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 41
        }
      ]
    },
    {
      "metadata": {
        "id": "QuunAvgYPZ8C",
        "colab_type": "text"
      },
      "cell_type": "markdown",
      "source": [
        "\n",
        "We can see that Records use the tags related to the required contracting stages for this exercise: tender, award and contract."
      ]
    },
    {
      "metadata": {
        "id": "CGvg_YJt6tEN",
        "colab_type": "text"
      },
      "cell_type": "markdown",
      "source": [
        "### 2.3. Suppliers information\n",
        "\n",
        "*Here, we determine how suppliers are uniquely identified.*"
      ]
    },
    {
      "metadata": {
        "id": "ZCWzOxrbX18D",
        "colab_type": "text"
      },
      "cell_type": "markdown",
      "source": [
        "The identity and number of suppliers are pieces of information that are nice to have on public procurement. For the calculations involving suppliers to be accurate, we need a way to identify uniquely each one. \n",
        "\n",
        "OCDS defines the type `Identifier` for organisations, which allows publishers to use a national organisation register or list to identify them. This field is exactly what we need to be sure that we are not counting each supplier more than once. Let's see if this field is in use in the Paraguay dataset:"
      ]
    },
    {
      "metadata": {
        "id": "8A5XTsv66jIY",
        "colab_type": "code",
        "outputId": "7a4e647c-f99c-4fcd-82ab-b1db4e8c6300",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 2989
        }
      },
      "cell_type": "code",
      "source": [
        "querystring = base_querystring + \"\"\"\n",
        "  \n",
        "  SELECT DISTINCT\n",
        "    suppliers -> 'name' AS Name,\n",
        "    suppliers -> 'identifier' ->> 'scheme' AS scheme,\n",
        "    suppliers -> 'identifier' ->> 'id' AS ID\n",
        "  FROM\n",
        "    records\n",
        "  CROSS JOIN\n",
        "    jsonb_array_elements(data -> 'compiledRelease' -> 'awards') AS awards\n",
        "  CROSS JOIN\n",
        "    jsonb_array_elements(awards -> 'suppliers') AS suppliers\n",
        "  WHERE\n",
        "    data -> 'compiledRelease' IS NOT NULL\n",
        "    AND \n",
        "      data -> 'compiledRelease' -> 'awards' IS NOT NULL\n",
        "  ORDER BY\n",
        "    suppliers -> 'identifier' ->> 'id'\n",
        "    \n",
        "\"\"\"\n",
        "\n",
        "cur.execute(\"\"\"rollback\"\"\")\n",
        "\n",
        "cur.execute(querystring)\n",
        "\n",
        "results = getResults(cur)\n",
        "\n",
        "results"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
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              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>name</th>\n",
              "      <th>scheme</th>\n",
              "      <th>id</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>ALSTOM GRID ENERGIA LTDA.</td>\n",
              "      <td>Registro Único de Contribuyente emitido por el Ministerio de Hacienda del Gobierno de Paraguay</td>\n",
              "      <td>05.356.949/0001-42</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>WEG EQUIPAMENTOS ELETRICOS S.A.</td>\n",
              "      <td>Registro Único de Contribuyente emitido por el Ministerio de Hacienda del Gobierno de Paraguay</td>\n",
              "      <td>07.175.725_0001-60</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>PURIFICACION MOREL ALFONSO</td>\n",
              "      <td>Registro Único de Contribuyente emitido por el Ministerio de Hacienda del Gobierno de Paraguay</td>\n",
              "      <td>1001174-9</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>RAMON LEOPOLDO SALVIONI GONZALEZ</td>\n",
              "      <td>Registro Único de Contribuyente emitido por el Ministerio de Hacienda del Gobierno de Paraguay</td>\n",
              "      <td>1001661-9</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>MARIA JULIA PLANAS GOMEZ DE BENITEZ</td>\n",
              "      <td>Registro Único de Contribuyente emitido por el Ministerio de Hacienda del Gobierno de Paraguay</td>\n",
              "      <td>1002623-1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>5</th>\n",
              "      <td>MATEO CARDOZO ORTEGA</td>\n",
              "      <td>Registro Único de Contribuyente emitido por el Ministerio de Hacienda del Gobierno de Paraguay</td>\n",
              "      <td>1002970-2</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>6</th>\n",
              "      <td>JACK CESAR FLORENTIN TORRES</td>\n",
              "      <td>Registro Único de Contribuyente emitido por el Ministerio de Hacienda del Gobierno de Paraguay</td>\n",
              "      <td>1003587-7</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>7</th>\n",
              "      <td>ALFONSO HORACIO RIVAS RODRIGUEZ</td>\n",
              "      <td>Registro Único de Contribuyente emitido por el Ministerio de Hacienda del Gobierno de Paraguay</td>\n",
              "      <td>1004093-5</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>8</th>\n",
              "      <td>MARIA ESTELA FERNANDEZ GONZALEZ</td>\n",
              "      <td>Registro Único de Contribuyente emitido por el Ministerio de Hacienda del Gobierno de Paraguay</td>\n",
              "      <td>1004405-1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>9</th>\n",
              "      <td>CARLOS GOMEZ</td>\n",
              "      <td>Registro Único de Contribuyente emitido por el Ministerio de Hacienda del Gobierno de Paraguay</td>\n",
              "      <td>1004662-3</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>10</th>\n",
              "      <td>LUIS ADOLFO DANIEL EVALY CASSANELLO</td>\n",
              "      <td>Registro Único de Contribuyente emitido por el Ministerio de Hacienda del Gobierno de Paraguay</td>\n",
              "      <td>1005539-8</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>11</th>\n",
              "      <td>AUGUSTO CACERES</td>\n",
              "      <td>Registro Único de Contribuyente emitido por el Ministerio de Hacienda del Gobierno de Paraguay</td>\n",
              "      <td>1005746-3</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>12</th>\n",
              "      <td>ANIBAL LEOPOLDO CARDOZO FLEYTAS</td>\n",
              "      <td>Registro Único de Contribuyente emitido por el Ministerio de Hacienda del Gobierno de Paraguay</td>\n",
              "      <td>1008372-3</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>13</th>\n",
              "      <td>LOURDES GOSSEN ROMERO</td>\n",
              "      <td>Registro Único de Contribuyente emitido por el Ministerio de Hacienda del Gobierno de Paraguay</td>\n",
              "      <td>1009013-4</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>14</th>\n",
              "      <td>NELIDA AIDEE MENDOZA RUFFINELLI</td>\n",
              "      <td>Registro Único de Contribuyente emitido por el Ministerio de Hacienda del Gobierno de Paraguay</td>\n",
              "      <td>1009022-3</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>15</th>\n",
              "      <td>RUBEN ANSELMO AGUILERA</td>\n",
              "      <td>Registro Único de Contribuyente emitido por el Ministerio de Hacienda del Gobierno de Paraguay</td>\n",
              "      <td>1009418-0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>16</th>\n",
              "      <td>MARIA LUCIA VAZQUEZ</td>\n",
              "      <td>Registro Único de Contribuyente emitido por el Ministerio de Hacienda del Gobierno de Paraguay</td>\n",
              "      <td>1009611-6</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>17</th>\n",
              "      <td>LAURO NÉSTOR PENAYO CABRERA</td>\n",
              "      <td>Registro Único de Contribuyente emitido por el Ministerio de Hacienda del Gobierno de Paraguay</td>\n",
              "      <td>1014643-1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>18</th>\n",
              "      <td>Agustina Figueredo de Wagener</td>\n",
              "      <td>Registro Único de Contribuyente emitido por el Ministerio de Hacienda del Gobierno de Paraguay</td>\n",
              "      <td>101510-9</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>19</th>\n",
              "      <td>MIGUEL ANGEL CABRERA</td>\n",
              "      <td>Registro Único de Contribuyente emitido por el Ministerio de Hacienda del Gobierno de Paraguay</td>\n",
              "      <td>1017086-3</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>20</th>\n",
              "      <td>CRISTINO MARTINEZ GALEANO</td>\n",
              "      <td>Registro Único de Contribuyente emitido por el Ministerio de Hacienda del Gobierno de Paraguay</td>\n",
              "      <td>1017663-2</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>21</th>\n",
              "      <td>DIGNA ESTHER RAMOS DE RIQUELME</td>\n",
              "      <td>Registro Único de Contribuyente emitido por el Ministerio de Hacienda del Gobierno de Paraguay</td>\n",
              "      <td>1017774-4</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>22</th>\n",
              "      <td>BEATO AMARILLA ROMERO</td>\n",
              "      <td>Registro Único de Contribuyente emitido por el Ministerio de Hacienda del Gobierno de Paraguay</td>\n",
              "      <td>1019200-0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>23</th>\n",
              "      <td>MOREL GALEANO, BIENVENIDO RAMON</td>\n",
              "      <td>Registro Único de Contribuyente emitido por el Ministerio de Hacienda del Gobierno de Paraguay</td>\n",
              "      <td>1019787-7</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>24</th>\n",
              "      <td>OMAR EDUARDO PEREZ ZABALA</td>\n",
              "      <td>Registro Único de Contribuyente emitido por el Ministerio de Hacienda del Gobierno de Paraguay</td>\n",
              "      <td>1020198-0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>25</th>\n",
              "      <td>Peter Penner</td>\n",
              "      <td>Registro Único de Contribuyente emitido por el Ministerio de Hacienda del Gobierno de Paraguay</td>\n",
              "      <td>1020804-6</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>26</th>\n",
              "      <td>RENDY VOTH PENNER</td>\n",
              "      <td>Registro Único de Contribuyente emitido por el Ministerio de Hacienda del Gobierno de Paraguay</td>\n",
              "      <td>1021413-5</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>27</th>\n",
              "      <td>JOAQUIN CHAPARRO CRISTALDO</td>\n",
              "      <td>Registro Único de Contribuyente emitido por el Ministerio de Hacienda del Gobierno de Paraguay</td>\n",
              "      <td>1021486-0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>28</th>\n",
              "      <td>Maria Translación Mercado Garcete</td>\n",
              "      <td>Registro Único de Contribuyente emitido por el Ministerio de Hacienda del Gobierno de Paraguay</td>\n",
              "      <td>1021537-9</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>29</th>\n",
              "      <td>MAXAM FANEXA S.A.M</td>\n",
              "      <td>Registro Único de Contribuyente emitido por el Ministerio de Hacienda del Gobierno de Paraguay</td>\n",
              "      <td>1023249027</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>...</th>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>5933</th>\n",
              "      <td>DI FIORE S.A.</td>\n",
              "      <td>Registro Único de Contribuyente emitido por el Ministerio de Hacienda del Gobierno de Paraguay</td>\n",
              "      <td>null</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>5934</th>\n",
              "      <td>CONSORCIO YPANE</td>\n",
              "      <td>Registro Único de Contribuyente emitido por el Ministerio de Hacienda del Gobierno de Paraguay</td>\n",
              "      <td>null</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>5935</th>\n",
              "      <td>NOEMI NUÑEZ YBARRA</td>\n",
              "      <td>Registro Único de Contribuyente emitido por el Ministerio de Hacienda del Gobierno de Paraguay</td>\n",
              "      <td>null</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>5936</th>\n",
              "      <td>ROCIO ARACELI JARA AYALA</td>\n",
              "      <td>Registro Único de Contribuyente emitido por el Ministerio de Hacienda del Gobierno de Paraguay</td>\n",
              "      <td>null</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>5937</th>\n",
              "      <td>CONDOMINIO VANESSA MONTSERRAT NAVARRO Y OTRA</td>\n",
              "      <td>Registro Único de Contribuyente emitido por el Ministerio de Hacienda del Gobierno de Paraguay</td>\n",
              "      <td>null</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>5938</th>\n",
              "      <td>UNIVERSO DE CREDITOS Y CONSUMO S.A</td>\n",
              "      <td>Registro Único de Contribuyente emitido por el Ministerio de Hacienda del Gobierno de Paraguay</td>\n",
              "      <td>null</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>5939</th>\n",
              "      <td>ANGEL EMILIO GENES DUARTE</td>\n",
              "      <td>Registro Único de Contribuyente emitido por el Ministerio de Hacienda del Gobierno de Paraguay</td>\n",
              "      <td>null</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>5940</th>\n",
              "      <td>SERGIO RAMON BAREIRO DAVALOS</td>\n",
              "      <td>Registro Único de Contribuyente emitido por el Ministerio de Hacienda del Gobierno de Paraguay</td>\n",
              "      <td>null</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>5941</th>\n",
              "      <td>MARCOS DAVID CHUDYK OLEÑIK</td>\n",
              "      <td>Registro Único de Contribuyente emitido por el Ministerio de Hacienda del Gobierno de Paraguay</td>\n",
              "      <td>null</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>5942</th>\n",
              "      <td>ALBERTO HELFON DUARTE ANTEBI</td>\n",
              "      <td>Registro Único de Contribuyente emitido por el Ministerio de Hacienda del Gobierno de Paraguay</td>\n",
              "      <td>null</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>5943</th>\n",
              "      <td>NELIDA NOEMI FARAONE SAMUDIO</td>\n",
              "      <td>Registro Único de Contribuyente emitido por el Ministerio de Hacienda del Gobierno de Paraguay</td>\n",
              "      <td>null</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>5944</th>\n",
              "      <td>CINTHIA MERCEDES PRESENTADO ZARZA</td>\n",
              "      <td>Registro Único de Contribuyente emitido por el Ministerio de Hacienda del Gobierno de Paraguay</td>\n",
              "      <td>null</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>5945</th>\n",
              "      <td>DIANA ESTHER ALARCON LUSICH</td>\n",
              "      <td>Registro Único de Contribuyente emitido por el Ministerio de Hacienda del Gobierno de Paraguay</td>\n",
              "      <td>null</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>5946</th>\n",
              "      <td>OJEDA AGUILERA, DIANA JAZMIN</td>\n",
              "      <td>Registro Único de Contribuyente emitido por el Ministerio de Hacienda del Gobierno de Paraguay</td>\n",
              "      <td>null</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>5947</th>\n",
              "      <td>MARIA VICTORIA LEZCANO OCAMPO</td>\n",
              "      <td>Registro Único de Contribuyente emitido por el Ministerio de Hacienda del Gobierno de Paraguay</td>\n",
              "      <td>null</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>5948</th>\n",
              "      <td>ERNANI JOAO KUNKEL</td>\n",
              "      <td>Registro Único de Contribuyente emitido por el Ministerio de Hacienda del Gobierno de Paraguay</td>\n",
              "      <td>null</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>5949</th>\n",
              "      <td>AMANDA LETICIA LOPEZ LUGO</td>\n",
              "      <td>Registro Único de Contribuyente emitido por el Ministerio de Hacienda del Gobierno de Paraguay</td>\n",
              "      <td>null</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>5950</th>\n",
              "      <td>MIGUEL ANGEL ZARATE AGUERO</td>\n",
              "      <td>Registro Único de Contribuyente emitido por el Ministerio de Hacienda del Gobierno de Paraguay</td>\n",
              "      <td>null</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>5951</th>\n",
              "      <td>EDGAR ABDON COLMAN MIRANDA</td>\n",
              "      <td>Registro Único de Contribuyente emitido por el Ministerio de Hacienda del Gobierno de Paraguay</td>\n",
              "      <td>null</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>5952</th>\n",
              "      <td>CONSORCIO IT</td>\n",
              "      <td>Registro Único de Contribuyente emitido por el Ministerio de Hacienda del Gobierno de Paraguay</td>\n",
              "      <td>null</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>5953</th>\n",
              "      <td>FARIÑA RIOS JUNIPERO E.I.R.L</td>\n",
              "      <td>Registro Único de Contribuyente emitido por el Ministerio de Hacienda del Gobierno de Paraguay</td>\n",
              "      <td>null</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>5954</th>\n",
              "      <td>ELIEL ARINALIS DE JESUS</td>\n",
              "      <td>Registro Único de Contribuyente emitido por el Ministerio de Hacienda del Gobierno de Paraguay</td>\n",
              "      <td>null</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>5955</th>\n",
              "      <td>FABIA FROILANA GIMENEZ MEZA</td>\n",
              "      <td>Registro Único de Contribuyente emitido por el Ministerio de Hacienda del Gobierno de Paraguay</td>\n",
              "      <td>null</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>5956</th>\n",
              "      <td>JULIO CESAR PAREDES</td>\n",
              "      <td>Registro Único de Contribuyente emitido por el Ministerio de Hacienda del Gobierno de Paraguay</td>\n",
              "      <td>null</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>5957</th>\n",
              "      <td>CONSORCIO SIEMENS - RIEDER - 500 KV</td>\n",
              "      <td>Registro Único de Contribuyente emitido por el Ministerio de Hacienda del Gobierno de Paraguay</td>\n",
              "      <td>null</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>5958</th>\n",
              "      <td>UPE PARAGUAY SENASA, IDP INGENIERÍA Y ARQUITECTURA IBERIA, S.L IDP BRASIL ENGENHARIA LTDA UNIÓN TEMPORAL DE EMPRESAS, LEY 18/1982 DE 26 DE MAYO.</td>\n",
              "      <td>Registro Único de Contribuyente emitido por el Ministerio de Hacienda del Gobierno de Paraguay</td>\n",
              "      <td>U66849092</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>5959</th>\n",
              "      <td>MARTINEZ *, FLORDELINA *</td>\n",
              "      <td>Registro Único de Contribuyente emitido por el Ministerio de Hacienda del Gobierno de Paraguay</td>\n",
              "      <td>X-08651</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>5960</th>\n",
              "      <td>FLEITAS CARDOZO, FLORENCIO *</td>\n",
              "      <td>Registro Único de Contribuyente emitido por el Ministerio de Hacienda del Gobierno de Paraguay</td>\n",
              "      <td>X-08996</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>5961</th>\n",
              "      <td>BENITEZ VDA. DE FRANCO JUSTINA</td>\n",
              "      <td>Registro Único de Contribuyente emitido por el Ministerio de Hacienda del Gobierno de Paraguay</td>\n",
              "      <td>X-15951</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>5962</th>\n",
              "      <td>LEZCANO FERREIRA MARCIA AURORA</td>\n",
              "      <td>Registro Único de Contribuyente emitido por el Ministerio de Hacienda del Gobierno de Paraguay</td>\n",
              "      <td>X-16859</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>5963 rows × 3 columns</p>\n",
              "</div>"
            ],
            "text/plain": [
              "                                                                                                                                                  name  \\\n",
              "0     ALSTOM GRID ENERGIA LTDA.                                                                                                                          \n",
              "1     WEG EQUIPAMENTOS ELETRICOS S.A.                                                                                                                    \n",
              "2     PURIFICACION MOREL ALFONSO                                                                                                                         \n",
              "3     RAMON LEOPOLDO SALVIONI GONZALEZ                                                                                                                   \n",
              "4     MARIA JULIA PLANAS GOMEZ DE BENITEZ                                                                                                                \n",
              "5     MATEO CARDOZO ORTEGA                                                                                                                               \n",
              "6     JACK CESAR FLORENTIN TORRES                                                                                                                        \n",
              "7     ALFONSO HORACIO RIVAS RODRIGUEZ                                                                                                                    \n",
              "8     MARIA ESTELA FERNANDEZ GONZALEZ                                                                                                                    \n",
              "9     CARLOS GOMEZ                                                                                                                                       \n",
              "10    LUIS ADOLFO DANIEL EVALY CASSANELLO                                                                                                                \n",
              "11    AUGUSTO CACERES                                                                                                                                    \n",
              "12    ANIBAL LEOPOLDO CARDOZO FLEYTAS                                                                                                                    \n",
              "13    LOURDES GOSSEN ROMERO                                                                                                                              \n",
              "14    NELIDA AIDEE MENDOZA RUFFINELLI                                                                                                                    \n",
              "15    RUBEN ANSELMO AGUILERA                                                                                                                             \n",
              "16    MARIA LUCIA VAZQUEZ                                                                                                                                \n",
              "17    LAURO NÉSTOR PENAYO CABRERA                                                                                                                        \n",
              "18    Agustina Figueredo de Wagener                                                                                                                      \n",
              "19    MIGUEL ANGEL CABRERA                                                                                                                               \n",
              "20    CRISTINO MARTINEZ GALEANO                                                                                                                          \n",
              "21    DIGNA ESTHER RAMOS DE RIQUELME                                                                                                                     \n",
              "22    BEATO AMARILLA ROMERO                                                                                                                              \n",
              "23    MOREL GALEANO, BIENVENIDO RAMON                                                                                                                    \n",
              "24    OMAR EDUARDO PEREZ ZABALA                                                                                                                          \n",
              "25    Peter Penner                                                                                                                                       \n",
              "26    RENDY VOTH PENNER                                                                                                                                  \n",
              "27    JOAQUIN CHAPARRO CRISTALDO                                                                                                                         \n",
              "28    Maria Translación Mercado Garcete                                                                                                                  \n",
              "29    MAXAM FANEXA S.A.M                                                                                                                                 \n",
              "...                  ...                                                                                                                                 \n",
              "5933  DI FIORE S.A.                                                                                                                                      \n",
              "5934  CONSORCIO YPANE                                                                                                                                    \n",
              "5935  NOEMI NUÑEZ YBARRA                                                                                                                                 \n",
              "5936  ROCIO ARACELI JARA AYALA                                                                                                                           \n",
              "5937  CONDOMINIO VANESSA MONTSERRAT NAVARRO Y OTRA                                                                                                       \n",
              "5938  UNIVERSO DE CREDITOS Y CONSUMO S.A                                                                                                                 \n",
              "5939  ANGEL EMILIO GENES DUARTE                                                                                                                          \n",
              "5940  SERGIO RAMON BAREIRO DAVALOS                                                                                                                       \n",
              "5941  MARCOS DAVID CHUDYK OLEÑIK                                                                                                                         \n",
              "5942  ALBERTO HELFON DUARTE ANTEBI                                                                                                                       \n",
              "5943  NELIDA NOEMI FARAONE SAMUDIO                                                                                                                       \n",
              "5944  CINTHIA MERCEDES PRESENTADO ZARZA                                                                                                                  \n",
              "5945  DIANA ESTHER ALARCON LUSICH                                                                                                                        \n",
              "5946  OJEDA AGUILERA, DIANA JAZMIN                                                                                                                       \n",
              "5947  MARIA VICTORIA LEZCANO OCAMPO                                                                                                                      \n",
              "5948  ERNANI JOAO KUNKEL                                                                                                                                 \n",
              "5949  AMANDA LETICIA LOPEZ LUGO                                                                                                                          \n",
              "5950  MIGUEL ANGEL ZARATE AGUERO                                                                                                                         \n",
              "5951  EDGAR ABDON COLMAN MIRANDA                                                                                                                         \n",
              "5952  CONSORCIO IT                                                                                                                                       \n",
              "5953  FARIÑA RIOS JUNIPERO E.I.R.L                                                                                                                       \n",
              "5954  ELIEL ARINALIS DE JESUS                                                                                                                            \n",
              "5955  FABIA FROILANA GIMENEZ MEZA                                                                                                                        \n",
              "5956  JULIO CESAR PAREDES                                                                                                                                \n",
              "5957  CONSORCIO SIEMENS - RIEDER - 500 KV                                                                                                                \n",
              "5958  UPE PARAGUAY SENASA, IDP INGENIERÍA Y ARQUITECTURA IBERIA, S.L IDP BRASIL ENGENHARIA LTDA UNIÓN TEMPORAL DE EMPRESAS, LEY 18/1982 DE 26 DE MAYO.   \n",
              "5959  MARTINEZ *, FLORDELINA *                                                                                                                           \n",
              "5960  FLEITAS CARDOZO, FLORENCIO *                                                                                                                       \n",
              "5961  BENITEZ VDA. DE FRANCO JUSTINA                                                                                                                     \n",
              "5962  LEZCANO FERREIRA MARCIA AURORA                                                                                                                     \n",
              "\n",
              "                                                                                              scheme  \\\n",
              "0     Registro Único de Contribuyente emitido por el Ministerio de Hacienda del Gobierno de Paraguay   \n",
              "1     Registro Único de Contribuyente emitido por el Ministerio de Hacienda del Gobierno de Paraguay   \n",
              "2     Registro Único de Contribuyente emitido por el Ministerio de Hacienda del Gobierno de Paraguay   \n",
              "3     Registro Único de Contribuyente emitido por el Ministerio de Hacienda del Gobierno de Paraguay   \n",
              "4     Registro Único de Contribuyente emitido por el Ministerio de Hacienda del Gobierno de Paraguay   \n",
              "5     Registro Único de Contribuyente emitido por el Ministerio de Hacienda del Gobierno de Paraguay   \n",
              "6     Registro Único de Contribuyente emitido por el Ministerio de Hacienda del Gobierno de Paraguay   \n",
              "7     Registro Único de Contribuyente emitido por el Ministerio de Hacienda del Gobierno de Paraguay   \n",
              "8     Registro Único de Contribuyente emitido por el Ministerio de Hacienda del Gobierno de Paraguay   \n",
              "9     Registro Único de Contribuyente emitido por el Ministerio de Hacienda del Gobierno de Paraguay   \n",
              "10    Registro Único de Contribuyente emitido por el Ministerio de Hacienda del Gobierno de Paraguay   \n",
              "11    Registro Único de Contribuyente emitido por el Ministerio de Hacienda del Gobierno de Paraguay   \n",
              "12    Registro Único de Contribuyente emitido por el Ministerio de Hacienda del Gobierno de Paraguay   \n",
              "13    Registro Único de Contribuyente emitido por el Ministerio de Hacienda del Gobierno de Paraguay   \n",
              "14    Registro Único de Contribuyente emitido por el Ministerio de Hacienda del Gobierno de Paraguay   \n",
              "15    Registro Único de Contribuyente emitido por el Ministerio de Hacienda del Gobierno de Paraguay   \n",
              "16    Registro Único de Contribuyente emitido por el Ministerio de Hacienda del Gobierno de Paraguay   \n",
              "17    Registro Único de Contribuyente emitido por el Ministerio de Hacienda del Gobierno de Paraguay   \n",
              "18    Registro Único de Contribuyente emitido por el Ministerio de Hacienda del Gobierno de Paraguay   \n",
              "19    Registro Único de Contribuyente emitido por el Ministerio de Hacienda del Gobierno de Paraguay   \n",
              "20    Registro Único de Contribuyente emitido por el Ministerio de Hacienda del Gobierno de Paraguay   \n",
              "21    Registro Único de Contribuyente emitido por el Ministerio de Hacienda del Gobierno de Paraguay   \n",
              "22    Registro Único de Contribuyente emitido por el Ministerio de Hacienda del Gobierno de Paraguay   \n",
              "23    Registro Único de Contribuyente emitido por el Ministerio de Hacienda del Gobierno de Paraguay   \n",
              "24    Registro Único de Contribuyente emitido por el Ministerio de Hacienda del Gobierno de Paraguay   \n",
              "25    Registro Único de Contribuyente emitido por el Ministerio de Hacienda del Gobierno de Paraguay   \n",
              "26    Registro Único de Contribuyente emitido por el Ministerio de Hacienda del Gobierno de Paraguay   \n",
              "27    Registro Único de Contribuyente emitido por el Ministerio de Hacienda del Gobierno de Paraguay   \n",
              "28    Registro Único de Contribuyente emitido por el Ministerio de Hacienda del Gobierno de Paraguay   \n",
              "29    Registro Único de Contribuyente emitido por el Ministerio de Hacienda del Gobierno de Paraguay   \n",
              "...                                                                                              ...   \n",
              "5933  Registro Único de Contribuyente emitido por el Ministerio de Hacienda del Gobierno de Paraguay   \n",
              "5934  Registro Único de Contribuyente emitido por el Ministerio de Hacienda del Gobierno de Paraguay   \n",
              "5935  Registro Único de Contribuyente emitido por el Ministerio de Hacienda del Gobierno de Paraguay   \n",
              "5936  Registro Único de Contribuyente emitido por el Ministerio de Hacienda del Gobierno de Paraguay   \n",
              "5937  Registro Único de Contribuyente emitido por el Ministerio de Hacienda del Gobierno de Paraguay   \n",
              "5938  Registro Único de Contribuyente emitido por el Ministerio de Hacienda del Gobierno de Paraguay   \n",
              "5939  Registro Único de Contribuyente emitido por el Ministerio de Hacienda del Gobierno de Paraguay   \n",
              "5940  Registro Único de Contribuyente emitido por el Ministerio de Hacienda del Gobierno de Paraguay   \n",
              "5941  Registro Único de Contribuyente emitido por el Ministerio de Hacienda del Gobierno de Paraguay   \n",
              "5942  Registro Único de Contribuyente emitido por el Ministerio de Hacienda del Gobierno de Paraguay   \n",
              "5943  Registro Único de Contribuyente emitido por el Ministerio de Hacienda del Gobierno de Paraguay   \n",
              "5944  Registro Único de Contribuyente emitido por el Ministerio de Hacienda del Gobierno de Paraguay   \n",
              "5945  Registro Único de Contribuyente emitido por el Ministerio de Hacienda del Gobierno de Paraguay   \n",
              "5946  Registro Único de Contribuyente emitido por el Ministerio de Hacienda del Gobierno de Paraguay   \n",
              "5947  Registro Único de Contribuyente emitido por el Ministerio de Hacienda del Gobierno de Paraguay   \n",
              "5948  Registro Único de Contribuyente emitido por el Ministerio de Hacienda del Gobierno de Paraguay   \n",
              "5949  Registro Único de Contribuyente emitido por el Ministerio de Hacienda del Gobierno de Paraguay   \n",
              "5950  Registro Único de Contribuyente emitido por el Ministerio de Hacienda del Gobierno de Paraguay   \n",
              "5951  Registro Único de Contribuyente emitido por el Ministerio de Hacienda del Gobierno de Paraguay   \n",
              "5952  Registro Único de Contribuyente emitido por el Ministerio de Hacienda del Gobierno de Paraguay   \n",
              "5953  Registro Único de Contribuyente emitido por el Ministerio de Hacienda del Gobierno de Paraguay   \n",
              "5954  Registro Único de Contribuyente emitido por el Ministerio de Hacienda del Gobierno de Paraguay   \n",
              "5955  Registro Único de Contribuyente emitido por el Ministerio de Hacienda del Gobierno de Paraguay   \n",
              "5956  Registro Único de Contribuyente emitido por el Ministerio de Hacienda del Gobierno de Paraguay   \n",
              "5957  Registro Único de Contribuyente emitido por el Ministerio de Hacienda del Gobierno de Paraguay   \n",
              "5958  Registro Único de Contribuyente emitido por el Ministerio de Hacienda del Gobierno de Paraguay   \n",
              "5959  Registro Único de Contribuyente emitido por el Ministerio de Hacienda del Gobierno de Paraguay   \n",
              "5960  Registro Único de Contribuyente emitido por el Ministerio de Hacienda del Gobierno de Paraguay   \n",
              "5961  Registro Único de Contribuyente emitido por el Ministerio de Hacienda del Gobierno de Paraguay   \n",
              "5962  Registro Único de Contribuyente emitido por el Ministerio de Hacienda del Gobierno de Paraguay   \n",
              "\n",
              "                      id  \n",
              "0     05.356.949/0001-42  \n",
              "1     07.175.725_0001-60  \n",
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              "29    1023249027          \n",
              "...          ...          \n",
              "5933  null                \n",
              "5934  null                \n",
              "5935  null                \n",
              "5936  null                \n",
              "5937  null                \n",
              "5938  null                \n",
              "5939  null                \n",
              "5940  null                \n",
              "5941  null                \n",
              "5942  null                \n",
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              "5945  null                \n",
              "5946  null                \n",
              "5947  null                \n",
              "5948  null                \n",
              "5949  null                \n",
              "5950  null                \n",
              "5951  null                \n",
              "5952  null                \n",
              "5953  null                \n",
              "5954  null                \n",
              "5955  null                \n",
              "5956  null                \n",
              "5957  null                \n",
              "5958  U66849092           \n",
              "5959  X-08651             \n",
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              "5961  X-15951             \n",
              "5962  X-16859             \n",
              "\n",
              "[5963 rows x 3 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 43
        }
      ]
    },
    {
      "metadata": {
        "id": "MwoMwtv_SNrS",
        "colab_type": "text"
      },
      "cell_type": "markdown",
      "source": [
        "They seem to use a standard scheme, but still we can see some issues:\n",
        "\n",
        "* The use of some dummy  values as Supplier ID\n",
        "* Some suppliers don't have a identifier ID \n",
        "\n",
        "So although we can make calculations on suppliers, these will not be totally accurate. Cleaning the data is possible but it requires a lot of work, so we will not do it here."
      ]
    },
    {
      "metadata": {
        "id": "jT6p_YDtoOLQ",
        "colab_type": "text"
      },
      "cell_type": "markdown",
      "source": [
        "###2.4. Award and Contract value information\n",
        "\n",
        "*Here, we determine whether award and contract values are available.*"
      ]
    },
    {
      "metadata": {
        "id": "myZMn-V0oX0q",
        "colab_type": "text"
      },
      "cell_type": "markdown",
      "source": [
        "In OCDS, a `value` section is included in both `awards` and `contracts` sections, because the awarded value may differ from the actual value of the signed contract. \n",
        "\n",
        "Let's see if the `value` information is completed in the `awards` section first:\n",
        "\n"
      ]
    },
    {
      "metadata": {
        "id": "SqdwtKblrQqV",
        "colab_type": "code",
        "outputId": "2accce87-8a28-4d99-dab0-122a276afe44",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1969
        }
      },
      "cell_type": "code",
      "source": [
        "querystring = base_querystring + \"\"\"\n",
        "  \n",
        "  SELECT\n",
        "    data -> 'compiledRelease' ->> 'ocid' AS ocid,\n",
        "    data -> 'compiledRelease' ->> 'date' AS publicationDate,\n",
        "    awards -> 'value' ->> 'amount' AS amount,\n",
        "    awards -> 'value' ->> 'currency' AS currency,\n",
        "    awards -> 'status' AS status\n",
        "  FROM\n",
        "    records\n",
        "  CROSS JOIN\n",
        "    jsonb_array_elements(data -> 'compiledRelease' -> 'awards') AS awards\n",
        "  WHERE\n",
        "    data -> 'compiledRelease' IS NOT NULL\n",
        "    AND\n",
        "      data -> 'compiledRelease' -> 'awards' IS NOT NULL\n",
        "  AND\n",
        "    (\n",
        "      awards -> 'value' IS NULL \n",
        "    OR \n",
        "      awards -> 'value' ->> 'amount' IS NULL\n",
        "    OR\n",
        "      awards -> 'value' ->> 'amount' = '0'\n",
        "    OR\n",
        "      awards -> 'value' ->> 'amount' = ''\n",
        "    OR\n",
        "      awards -> 'value' ->> 'currency' IS NULL\n",
        "    OR\n",
        "      awards -> 'value' ->> 'currency' = ''\n",
        "    )\n",
        "\"\"\"\n",
        "\n",
        "cur.execute(\"\"\"rollback\"\"\")\n",
        "\n",
        "cur.execute(querystring)\n",
        "\n",
        "results = getResults(cur)\n",
        "\n",
        "results"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
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              "      <td>0</td>\n",
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              "      <td>2018-11-23T02:17:51Z</td>\n",
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              "      <td>2018-11-23T00:06:47Z</td>\n",
              "      <td>0</td>\n",
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              "      <td>0</td>\n",
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              "      <td>unsuccessful</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>16</th>\n",
              "      <td>ocds-03ad3f-317469</td>\n",
              "      <td>2018-11-22T20:11:26Z</td>\n",
              "      <td>0</td>\n",
              "      <td>PYG</td>\n",
              "      <td>unsuccessful</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>17</th>\n",
              "      <td>ocds-03ad3f-317498</td>\n",
              "      <td>2018-11-22T20:08:09Z</td>\n",
              "      <td>0</td>\n",
              "      <td>PYG</td>\n",
              "      <td>unsuccessful</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>18</th>\n",
              "      <td>ocds-03ad3f-317551</td>\n",
              "      <td>2018-11-22T20:02:52Z</td>\n",
              "      <td>0</td>\n",
              "      <td>PYG</td>\n",
              "      <td>unsuccessful</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>19</th>\n",
              "      <td>ocds-03ad3f-318409</td>\n",
              "      <td>2018-11-22T18:12:27Z</td>\n",
              "      <td>0</td>\n",
              "      <td>PYG</td>\n",
              "      <td>unsuccessful</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>20</th>\n",
              "      <td>ocds-03ad3f-318971</td>\n",
              "      <td>2018-11-22T17:08:40Z</td>\n",
              "      <td>0</td>\n",
              "      <td>PYG</td>\n",
              "      <td>unsuccessful</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>21</th>\n",
              "      <td>ocds-03ad3f-319418</td>\n",
              "      <td>2018-11-22T16:26:01Z</td>\n",
              "      <td>0</td>\n",
              "      <td>PYG</td>\n",
              "      <td>unsuccessful</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>22</th>\n",
              "      <td>ocds-03ad3f-319755</td>\n",
              "      <td>2018-11-22T15:49:05Z</td>\n",
              "      <td>0</td>\n",
              "      <td>PYG</td>\n",
              "      <td>unsuccessful</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>23</th>\n",
              "      <td>ocds-03ad3f-319764</td>\n",
              "      <td>2018-11-22T15:48:22Z</td>\n",
              "      <td>0</td>\n",
              "      <td>PYG</td>\n",
              "      <td>unsuccessful</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>24</th>\n",
              "      <td>ocds-03ad3f-319892</td>\n",
              "      <td>2018-11-22T15:36:36Z</td>\n",
              "      <td>0</td>\n",
              "      <td>PYG</td>\n",
              "      <td>unsuccessful</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>25</th>\n",
              "      <td>ocds-03ad3f-319893</td>\n",
              "      <td>2018-11-22T15:36:31Z</td>\n",
              "      <td>0</td>\n",
              "      <td>PYG</td>\n",
              "      <td>unsuccessful</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>26</th>\n",
              "      <td>ocds-03ad3f-319908</td>\n",
              "      <td>2018-11-22T15:35:17Z</td>\n",
              "      <td>0</td>\n",
              "      <td>PYG</td>\n",
              "      <td>unsuccessful</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>27</th>\n",
              "      <td>ocds-03ad3f-319918</td>\n",
              "      <td>2018-11-22T15:34:18Z</td>\n",
              "      <td>0</td>\n",
              "      <td>PYG</td>\n",
              "      <td>unsuccessful</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>28</th>\n",
              "      <td>ocds-03ad3f-320775</td>\n",
              "      <td>2018-11-22T14:07:35Z</td>\n",
              "      <td>0</td>\n",
              "      <td>PYG</td>\n",
              "      <td>unsuccessful</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>29</th>\n",
              "      <td>ocds-03ad3f-316773</td>\n",
              "      <td>2018-11-22T21:19:42Z</td>\n",
              "      <td>0</td>\n",
              "      <td>PYG</td>\n",
              "      <td>unsuccessful</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>...</th>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>63</th>\n",
              "      <td>ocds-03ad3f-336379</td>\n",
              "      <td>2018-11-21T13:06:43Z</td>\n",
              "      <td>0</td>\n",
              "      <td>PYG</td>\n",
              "      <td>unsuccessful</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>64</th>\n",
              "      <td>ocds-03ad3f-337144</td>\n",
              "      <td>2018-11-21T11:28:33Z</td>\n",
              "      <td>0</td>\n",
              "      <td>PYG</td>\n",
              "      <td>unsuccessful</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>65</th>\n",
              "      <td>ocds-03ad3f-337145</td>\n",
              "      <td>2018-11-21T11:28:30Z</td>\n",
              "      <td>0</td>\n",
              "      <td>PYG</td>\n",
              "      <td>unsuccessful</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>66</th>\n",
              "      <td>ocds-03ad3f-337181</td>\n",
              "      <td>2018-11-21T11:25:02Z</td>\n",
              "      <td>0</td>\n",
              "      <td>PYG</td>\n",
              "      <td>unsuccessful</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>67</th>\n",
              "      <td>ocds-03ad3f-337324</td>\n",
              "      <td>2018-11-21T11:09:11Z</td>\n",
              "      <td>0</td>\n",
              "      <td>PYG</td>\n",
              "      <td>unsuccessful</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>68</th>\n",
              "      <td>ocds-03ad3f-337702</td>\n",
              "      <td>2018-11-21T10:23:38Z</td>\n",
              "      <td>0</td>\n",
              "      <td>PYG</td>\n",
              "      <td>active</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>69</th>\n",
              "      <td>ocds-03ad3f-330963</td>\n",
              "      <td>2018-11-21T22:54:53Z</td>\n",
              "      <td>0</td>\n",
              "      <td>PYG</td>\n",
              "      <td>active</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>70</th>\n",
              "      <td>ocds-03ad3f-336872</td>\n",
              "      <td>2018-11-21T12:05:11Z</td>\n",
              "      <td>0</td>\n",
              "      <td>PYG</td>\n",
              "      <td>unsuccessful</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>71</th>\n",
              "      <td>ocds-03ad3f-338014</td>\n",
              "      <td>2018-11-21T09:53:24Z</td>\n",
              "      <td>0</td>\n",
              "      <td>PYG</td>\n",
              "      <td>unsuccessful</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>72</th>\n",
              "      <td>ocds-03ad3f-339230</td>\n",
              "      <td>2018-11-21T08:10:51Z</td>\n",
              "      <td>0</td>\n",
              "      <td>PYG</td>\n",
              "      <td>active</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>73</th>\n",
              "      <td>ocds-03ad3f-339403</td>\n",
              "      <td>2018-11-21T07:50:11Z</td>\n",
              "      <td>0</td>\n",
              "      <td>PYG</td>\n",
              "      <td>unsuccessful</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>74</th>\n",
              "      <td>ocds-03ad3f-339743</td>\n",
              "      <td>2018-11-21T07:19:42Z</td>\n",
              "      <td>0</td>\n",
              "      <td>PYG</td>\n",
              "      <td>unsuccessful</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>75</th>\n",
              "      <td>ocds-03ad3f-339791</td>\n",
              "      <td>2018-11-21T07:15:59Z</td>\n",
              "      <td>0</td>\n",
              "      <td>PYG</td>\n",
              "      <td>unsuccessful</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>76</th>\n",
              "      <td>ocds-03ad3f-339868</td>\n",
              "      <td>2018-11-21T07:09:27Z</td>\n",
              "      <td>0</td>\n",
              "      <td>PYG</td>\n",
              "      <td>unsuccessful</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>77</th>\n",
              "      <td>ocds-03ad3f-340319</td>\n",
              "      <td>2018-11-21T06:39:59Z</td>\n",
              "      <td>0</td>\n",
              "      <td>PYG</td>\n",
              "      <td>unsuccessful</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>78</th>\n",
              "      <td>ocds-03ad3f-340877</td>\n",
              "      <td>2018-11-21T05:51:19Z</td>\n",
              "      <td>0</td>\n",
              "      <td>PYG</td>\n",
              "      <td>unsuccessful</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>79</th>\n",
              "      <td>ocds-03ad3f-341029</td>\n",
              "      <td>2018-11-21T05:39:57Z</td>\n",
              "      <td>0</td>\n",
              "      <td>PYG</td>\n",
              "      <td>unsuccessful</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>80</th>\n",
              "      <td>ocds-03ad3f-342046</td>\n",
              "      <td>2018-11-21T04:28:55Z</td>\n",
              "      <td>0</td>\n",
              "      <td>PYG</td>\n",
              "      <td>unsuccessful</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>81</th>\n",
              "      <td>ocds-03ad3f-344652</td>\n",
              "      <td>2018-11-21T01:47:43Z</td>\n",
              "      <td>0</td>\n",
              "      <td>PYG</td>\n",
              "      <td>unsuccessful</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>82</th>\n",
              "      <td>ocds-03ad3f-345643</td>\n",
              "      <td>2018-11-21T00:50:20Z</td>\n",
              "      <td>0</td>\n",
              "      <td>PYG</td>\n",
              "      <td>unsuccessful</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>83</th>\n",
              "      <td>ocds-03ad3f-346220</td>\n",
              "      <td>2018-11-21T00:17:30Z</td>\n",
              "      <td>0</td>\n",
              "      <td>PYG</td>\n",
              "      <td>unsuccessful</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>84</th>\n",
              "      <td>ocds-03ad3f-346251</td>\n",
              "      <td>2018-11-21T00:16:09Z</td>\n",
              "      <td>0</td>\n",
              "      <td>PYG</td>\n",
              "      <td>unsuccessful</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>85</th>\n",
              "      <td>ocds-03ad3f-347279</td>\n",
              "      <td>2018-11-20T23:14:29Z</td>\n",
              "      <td>0</td>\n",
              "      <td>PYG</td>\n",
              "      <td>unsuccessful</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>86</th>\n",
              "      <td>ocds-03ad3f-348184</td>\n",
              "      <td>2018-11-20T22:20:41Z</td>\n",
              "      <td>0</td>\n",
              "      <td>PYG</td>\n",
              "      <td>unsuccessful</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>87</th>\n",
              "      <td>ocds-03ad3f-348944</td>\n",
              "      <td>2018-11-20T21:13:55Z</td>\n",
              "      <td>0</td>\n",
              "      <td>PYG</td>\n",
              "      <td>unsuccessful</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>88</th>\n",
              "      <td>ocds-03ad3f-348959</td>\n",
              "      <td>2018-11-20T21:12:04Z</td>\n",
              "      <td>0</td>\n",
              "      <td>PYG</td>\n",
              "      <td>unsuccessful</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>89</th>\n",
              "      <td>ocds-03ad3f-350877</td>\n",
              "      <td>2018-11-20T18:20:42Z</td>\n",
              "      <td>0</td>\n",
              "      <td>PYG</td>\n",
              "      <td>unsuccessful</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>90</th>\n",
              "      <td>ocds-03ad3f-289945</td>\n",
              "      <td>2018-11-23T21:52:40Z</td>\n",
              "      <td>0</td>\n",
              "      <td>PYG</td>\n",
              "      <td>unsuccessful</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>91</th>\n",
              "      <td>ocds-03ad3f-301634</td>\n",
              "      <td>2018-11-23T20:21:06Z</td>\n",
              "      <td>0</td>\n",
              "      <td>PYG</td>\n",
              "      <td>unsuccessful</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>92</th>\n",
              "      <td>ocds-03ad3f-302022</td>\n",
              "      <td>2018-11-23T19:59:11Z</td>\n",
              "      <td>0</td>\n",
              "      <td>PYG</td>\n",
              "      <td>unsuccessful</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>93 rows × 5 columns</p>\n",
              "</div>"
            ],
            "text/plain": [
              "                  ocid       publicationdate amount currency        status\n",
              "0   ocds-03ad3f-294170  2018-11-23T21:43:38Z  0      PYG      unsuccessful\n",
              "1   ocds-03ad3f-302754  2018-11-23T18:08:12Z  0      PYG      unsuccessful\n",
              "2   ocds-03ad3f-303228  2018-11-23T17:05:30Z  0      PYG      unsuccessful\n",
              "3   ocds-03ad3f-303602  2018-11-23T16:19:13Z  0      PYG      unsuccessful\n",
              "4   ocds-03ad3f-306847  2018-11-23T10:37:55Z  0      PYG      unsuccessful\n",
              "5   ocds-03ad3f-307470  2018-11-23T09:34:33Z  0      PYG      unsuccessful\n",
              "6   ocds-03ad3f-307775  2018-11-23T09:06:09Z  0      PYG      unsuccessful\n",
              "7   ocds-03ad3f-309900  2018-11-23T06:34:43Z  0      PYG      unsuccessful\n",
              "8   ocds-03ad3f-310323  2018-11-23T06:07:15Z  0      PYG      unsuccessful\n",
              "9   ocds-03ad3f-312714  2018-11-23T03:03:40Z  0      PYG      unsuccessful\n",
              "10  ocds-03ad3f-313190  2018-11-23T02:17:51Z  0      PYG      unsuccessful\n",
              "11  ocds-03ad3f-313281  2018-11-23T02:08:47Z  0      PYG      unsuccessful\n",
              "12  ocds-03ad3f-313530  2018-11-23T01:53:24Z  0      PYG      unsuccessful\n",
              "13  ocds-03ad3f-313738  2018-11-23T01:37:20Z  0      PYG      unsuccessful\n",
              "14  ocds-03ad3f-314844  2018-11-23T00:06:47Z  0      PYG      unsuccessful\n",
              "15  ocds-03ad3f-315104  2018-11-22T23:45:21Z  0      PYG      unsuccessful\n",
              "16  ocds-03ad3f-317469  2018-11-22T20:11:26Z  0      PYG      unsuccessful\n",
              "17  ocds-03ad3f-317498  2018-11-22T20:08:09Z  0      PYG      unsuccessful\n",
              "18  ocds-03ad3f-317551  2018-11-22T20:02:52Z  0      PYG      unsuccessful\n",
              "19  ocds-03ad3f-318409  2018-11-22T18:12:27Z  0      PYG      unsuccessful\n",
              "20  ocds-03ad3f-318971  2018-11-22T17:08:40Z  0      PYG      unsuccessful\n",
              "21  ocds-03ad3f-319418  2018-11-22T16:26:01Z  0      PYG      unsuccessful\n",
              "22  ocds-03ad3f-319755  2018-11-22T15:49:05Z  0      PYG      unsuccessful\n",
              "23  ocds-03ad3f-319764  2018-11-22T15:48:22Z  0      PYG      unsuccessful\n",
              "24  ocds-03ad3f-319892  2018-11-22T15:36:36Z  0      PYG      unsuccessful\n",
              "25  ocds-03ad3f-319893  2018-11-22T15:36:31Z  0      PYG      unsuccessful\n",
              "26  ocds-03ad3f-319908  2018-11-22T15:35:17Z  0      PYG      unsuccessful\n",
              "27  ocds-03ad3f-319918  2018-11-22T15:34:18Z  0      PYG      unsuccessful\n",
              "28  ocds-03ad3f-320775  2018-11-22T14:07:35Z  0      PYG      unsuccessful\n",
              "29  ocds-03ad3f-316773  2018-11-22T21:19:42Z  0      PYG      unsuccessful\n",
              "..                 ...                   ... ..      ...               ...\n",
              "63  ocds-03ad3f-336379  2018-11-21T13:06:43Z  0      PYG      unsuccessful\n",
              "64  ocds-03ad3f-337144  2018-11-21T11:28:33Z  0      PYG      unsuccessful\n",
              "65  ocds-03ad3f-337145  2018-11-21T11:28:30Z  0      PYG      unsuccessful\n",
              "66  ocds-03ad3f-337181  2018-11-21T11:25:02Z  0      PYG      unsuccessful\n",
              "67  ocds-03ad3f-337324  2018-11-21T11:09:11Z  0      PYG      unsuccessful\n",
              "68  ocds-03ad3f-337702  2018-11-21T10:23:38Z  0      PYG      active      \n",
              "69  ocds-03ad3f-330963  2018-11-21T22:54:53Z  0      PYG      active      \n",
              "70  ocds-03ad3f-336872  2018-11-21T12:05:11Z  0      PYG      unsuccessful\n",
              "71  ocds-03ad3f-338014  2018-11-21T09:53:24Z  0      PYG      unsuccessful\n",
              "72  ocds-03ad3f-339230  2018-11-21T08:10:51Z  0      PYG      active      \n",
              "73  ocds-03ad3f-339403  2018-11-21T07:50:11Z  0      PYG      unsuccessful\n",
              "74  ocds-03ad3f-339743  2018-11-21T07:19:42Z  0      PYG      unsuccessful\n",
              "75  ocds-03ad3f-339791  2018-11-21T07:15:59Z  0      PYG      unsuccessful\n",
              "76  ocds-03ad3f-339868  2018-11-21T07:09:27Z  0      PYG      unsuccessful\n",
              "77  ocds-03ad3f-340319  2018-11-21T06:39:59Z  0      PYG      unsuccessful\n",
              "78  ocds-03ad3f-340877  2018-11-21T05:51:19Z  0      PYG      unsuccessful\n",
              "79  ocds-03ad3f-341029  2018-11-21T05:39:57Z  0      PYG      unsuccessful\n",
              "80  ocds-03ad3f-342046  2018-11-21T04:28:55Z  0      PYG      unsuccessful\n",
              "81  ocds-03ad3f-344652  2018-11-21T01:47:43Z  0      PYG      unsuccessful\n",
              "82  ocds-03ad3f-345643  2018-11-21T00:50:20Z  0      PYG      unsuccessful\n",
              "83  ocds-03ad3f-346220  2018-11-21T00:17:30Z  0      PYG      unsuccessful\n",
              "84  ocds-03ad3f-346251  2018-11-21T00:16:09Z  0      PYG      unsuccessful\n",
              "85  ocds-03ad3f-347279  2018-11-20T23:14:29Z  0      PYG      unsuccessful\n",
              "86  ocds-03ad3f-348184  2018-11-20T22:20:41Z  0      PYG      unsuccessful\n",
              "87  ocds-03ad3f-348944  2018-11-20T21:13:55Z  0      PYG      unsuccessful\n",
              "88  ocds-03ad3f-348959  2018-11-20T21:12:04Z  0      PYG      unsuccessful\n",
              "89  ocds-03ad3f-350877  2018-11-20T18:20:42Z  0      PYG      unsuccessful\n",
              "90  ocds-03ad3f-289945  2018-11-23T21:52:40Z  0      PYG      unsuccessful\n",
              "91  ocds-03ad3f-301634  2018-11-23T20:21:06Z  0      PYG      unsuccessful\n",
              "92  ocds-03ad3f-302022  2018-11-23T19:59:11Z  0      PYG      unsuccessful\n",
              "\n",
              "[93 rows x 5 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 52
        }
      ]
    },
    {
      "metadata": {
        "id": "qHPcJzbrr8SQ",
        "colab_type": "text"
      },
      "cell_type": "markdown",
      "source": [
        "As we see here, there are a few awards with missing amounts. Most of them have the status unsuccesful, what makes sense. But in some cases the status is active, this seems to be a publication issue, because the amount is very low for the number of releases with awards sections (93 awards vs 29702 records with award sections). Since the number is very low, we can ignore these missing amounts in the calculations.\n",
        "\n",
        "Let's do the same now for values in the `contracts` section. When dealing with contracts from this source, we have to know that Paraguay's [DNCP](https://www.contrataciones.gov.py/datos/open-contracting-info) extends OCDS 1.0 to include contract amendments as a OCDS contracts. A contract amendment is related to its original contract by using the field `extendsContractID`. Additionally, the field `dncpContractCode` contains the code used by DNCP. If this last field is not present or is not valid (with the value 'Pendiente de Emisión' for example) the contract is pending. So let's query the contracts that doesn't have the field `extendsContractID` and does have a valid `dncpContractCode`:"
      ]
    },
    {
      "metadata": {
        "id": "cvnH_RMitJNJ",
        "colab_type": "code",
        "outputId": "702ab893-d272-4d36-fa99-9007d26381a7",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 49
        }
      },
      "cell_type": "code",
      "source": [
        "querystring = base_querystring + \"\"\"\n",
        "  \n",
        "  SELECT\n",
        "    data -> 'compiledRelease' ->> 'ocid' AS ocid,\n",
        "    contracts -> 'period' ->> 'endDate' AS publicationDate,\n",
        "    contracts -> 'value' ->> 'amount' AS amount,\n",
        "    contracts -> 'value' ->> 'currency' AS currency\n",
        "  FROM\n",
        "    records\n",
        "  CROSS JOIN\n",
        "    jsonb_array_elements(data -> 'compiledRelease' -> 'contracts') AS contracts\n",
        "  WHERE\n",
        "    jsonb_array_length(data -> 'compiledRelease' -> 'contracts') > 0\n",
        "    AND\n",
        "      data -> 'compiledRelease' IS NOT NULL\n",
        "    AND\n",
        "      contracts -> 'extendsContractID' IS NULL \n",
        "    AND\n",
        "        contracts ->> 'dncpContractCode' <> 'Pendiente de Emisión' \n",
        "    AND(\n",
        "        contracts -> 'value' IS NULL \n",
        "      OR \n",
        "        contracts -> 'value' ->> 'amount' IS NULL\n",
        "      OR\n",
        "        contracts -> 'value' ->> 'amount' = '0'\n",
        "      OR\n",
        "        contracts -> 'value' ->> 'amount' = ''\n",
        "      OR\n",
        "        contracts -> 'value' ->> 'currency' IS NULL\n",
        "      OR\n",
        "        contracts -> 'value' ->> 'currency' = ''\n",
        "    )\n",
        "\"\"\"\n",
        "\n",
        "cur.execute(\"\"\"rollback\"\"\")\n",
        "\n",
        "cur.execute(querystring)\n",
        "\n",
        "results = getResults(cur)\n",
        "\n",
        "results"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "<div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>ocid</th>\n",
              "      <th>publicationdate</th>\n",
              "      <th>amount</th>\n",
              "      <th>currency</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "Empty DataFrame\n",
              "Columns: [ocid, publicationdate, amount, currency]\n",
              "Index: []"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 53
        }
      ]
    },
    {
      "metadata": {
        "id": "CaNG1frut3be",
        "colab_type": "text"
      },
      "cell_type": "markdown",
      "source": [
        "The number of contracts with missing amounts is 0. From here on, we will include the filter for the contracts that doesn't have the `extendsContractID` field and have a valid `dncpContractCode`."
      ]
    },
    {
      "metadata": {
        "id": "GmYR1mQ6S-XL",
        "colab_type": "text"
      },
      "cell_type": "markdown",
      "source": [
        "###2.5. Currencies used\n",
        "\n",
        "*Here, we determine whether we need to account for different currencies.*"
      ]
    },
    {
      "metadata": {
        "id": "Vk1pl2ibesml",
        "colab_type": "text"
      },
      "cell_type": "markdown",
      "source": [
        "Some of the indicators include calculations of quantities that may use different currencies. First, let's check which currencies are used in the `contracts` sections:"
      ]
    },
    {
      "metadata": {
        "id": "yeiY8wSSfjai",
        "colab_type": "code",
        "outputId": "06ba789b-c75a-4fdf-a947-e9f586730559",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 111
        }
      },
      "cell_type": "code",
      "source": [
        "querystring = base_querystring + \"\"\"\n",
        "  \n",
        "  SELECT\n",
        "    contracts -> 'value' ->> 'currency' AS currency,\n",
        "    COUNT(*) AS numContracts\n",
        "  FROM\n",
        "    records\n",
        "  CROSS JOIN\n",
        "    jsonb_array_elements(data -> 'compiledRelease' -> 'contracts') AS contracts\n",
        "  WHERE\n",
        "    data -> 'compiledRelease' -> 'contracts' IS NOT NULL\n",
        "  GROUP BY\n",
        "    contracts -> 'value' ->> 'currency'\n",
        "    \n",
        "\"\"\"\n",
        "\n",
        "cur.execute(\"\"\"rollback\"\"\")\n",
        "\n",
        "cur.execute(querystring)\n",
        "\n",
        "results = getResults(cur)\n",
        "\n",
        "results"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "<div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>currency</th>\n",
              "      <th>numcontracts</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>PYG</td>\n",
              "      <td>45424</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>USD</td>\n",
              "      <td>162</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "  currency  numcontracts\n",
              "0  PYG      45424       \n",
              "1  USD      162         "
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 55
        }
      ]
    },
    {
      "metadata": {
        "id": "ebakLY9ChrSE",
        "colab_type": "text"
      },
      "cell_type": "markdown",
      "source": [
        "In total we have 2 different currencies used, included the Paraguayan currency, Guarani. Converting currency accurately can be a problem: conversion rates change daily, and most important, we do not know exactly how currency exchange is managed in the procurement system. For calculating percentages and comparisons, an approximate exchange rate may be good enough, especially if most of the transactions use the same single currency. As we see in the results, the Paraguayan Guarani is the most used currency in data, by far.\n",
        "\n",
        "We can look at the currency exchange rates [online](https://www.xe.com/currencycharts/) and pick an approximate average from the last two years for each currency used. Below is the conversion rates chosen to convert all foreign currencies to the Paraguayan national currency; we will use these rates in all calculations that involve currencies."
      ]
    },
    {
      "metadata": {
        "id": "laBvhRZvKZbO",
        "colab_type": "text"
      },
      "cell_type": "markdown",
      "source": [
        "#### Conversion rates to Paraguayan Guarani\n",
        "\n",
        "* [1 USD = 5900 PYG](https://www.xe.com/currencycharts/?from=USD&to=PYG&view=2Y)\n"
      ]
    },
    {
      "metadata": {
        "id": "47ZO-CGPJa1V",
        "colab_type": "text"
      },
      "cell_type": "markdown",
      "source": [
        "## 3. MAPS Indicators"
      ]
    },
    {
      "metadata": {
        "id": "LekLlmKtzosY",
        "colab_type": "text"
      },
      "cell_type": "markdown",
      "source": [
        "Now that we clarified some things, we can go ahead and calculate the quantitative indicators."
      ]
    },
    {
      "metadata": {
        "id": "QMDgeke2Jgga",
        "colab_type": "text"
      },
      "cell_type": "markdown",
      "source": [
        "### 3.1. Key Procurement Information published along the procurement cycle (in % of total number of contracts)\n"
      ]
    },
    {
      "metadata": {
        "id": "Wtc3_DFasPrP",
        "colab_type": "text"
      },
      "cell_type": "markdown",
      "source": [
        "#### 3.1.1. Invitation to bid (in % of total number of contracts)"
      ]
    },
    {
      "metadata": {
        "id": "kyC95fRQ63UH",
        "colab_type": "text"
      },
      "cell_type": "markdown",
      "source": [
        "We look at sub-indicator 7(a)(c) to understand what this indicator means in the OCDS context ([MAPS specification](http://www.mapsinitiative.org/methodology/MAPS-methodology-for-assessing-procurement-systems.pdf), page 41, emphasis added):\n",
        "\n",
        ">*The information system provides for the publication of: *\n",
        "\n",
        ">* *procurement plans*\n",
        ">* *information related to specific procurements, at a minimum, **advertisements or notices of procurement opportunities,** procurement method, contract awards and contract implementation, including amendments, payments and appeals decisions*\n",
        ">* *linkages to rules and regulations and other information relevant for promoting competition and transparency.*\n",
        "\n",
        "The non-bolded items all correspond to other indicators, so the bold items must correspond to this indicator. Thus, \"invitation to bid\", in the context of OCDS, means the publication of a tender notice.\n",
        "\n",
        "OCDS defines the `tender/documents` section in which links to these kind of documents can be included. Specifically, we should look for the `documentType` called `tenderNotice` and for any other custom type that may have a similar meaning.\n",
        "\n",
        "Let's start by looking at the `documentTypes` used in the `tender` stage:"
      ]
    },
    {
      "metadata": {
        "id": "zRtZidUfW7oO",
        "colab_type": "code",
        "outputId": "f61ccb48-b4c2-4e7c-bdfb-35f1c144e327",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1969
        }
      },
      "cell_type": "code",
      "source": [
        "querystring = base_querystring + \"\"\"\n",
        "  \n",
        "  SELECT\n",
        "    DISTINCT documents->'documentType' as documentType\n",
        "  FROM\n",
        "    records\n",
        "  CROSS JOIN\n",
        "    jsonb_array_elements(data -> 'compiledRelease' -> 'tender' -> 'documents') AS documents\n",
        "\"\"\"\n",
        "\n",
        "cur.execute(\"\"\"rollback\"\"\")\n",
        "\n",
        "cur.execute(querystring)\n",
        "\n",
        "results = getResults(cur)\n",
        "\n",
        "results"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "<div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>documenttype</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>Nota de Rectificación</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>technicalSpecifications</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>Países Elegibles - Consultores BID</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>environmentalImpact</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>Resolución Cancelación Llamado</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>5</th>\n",
              "      <td>Permiso Municipal</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>6</th>\n",
              "      <td>Condiciones Generales del Contrato - Obras por Subasta</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>7</th>\n",
              "      <td>Autorización del Equipo Ec. para Vehiculos</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>8</th>\n",
              "      <td>Condiciones Generales del Contrato - Seguridad y Vigilancia</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>9</th>\n",
              "      <td>Notificación al Oferente</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>10</th>\n",
              "      <td>Datos Estadisticos Referenciales</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>11</th>\n",
              "      <td>Instrucción a los Oferentes - Servicios de Limpieza Subasta</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>12</th>\n",
              "      <td>Instrucción a los Oferentes - Seguros Subasta</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>13</th>\n",
              "      <td>Flujo de fondos</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>14</th>\n",
              "      <td>Justificación de abastecimiento simultáneo</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>15</th>\n",
              "      <td>awardNotice</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>16</th>\n",
              "      <td>Resolución del Convenio</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>17</th>\n",
              "      <td>Condiciones Generales del Contrato - Obras BID</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>18</th>\n",
              "      <td>Nota de Respuesta Llamado</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>19</th>\n",
              "      <td>Instrucción a los Oferentes - Provision de Pasajes Aereos</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>20</th>\n",
              "      <td>Justificación de Contratación de Carácter Internacional</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>21</th>\n",
              "      <td>Certificado de DGEP</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>22</th>\n",
              "      <td>Dictamen del Llamado</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>23</th>\n",
              "      <td>No objeción</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>24</th>\n",
              "      <td>Nota de Reparo</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>25</th>\n",
              "      <td>Dictamen Justificativo de Declaración Desierta</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>26</th>\n",
              "      <td>Carta de Invitación</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>27</th>\n",
              "      <td>Instrucción a los Oferentes - Seguridad y Vigilancia Subasta</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>28</th>\n",
              "      <td>Nota de Contestación</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>29</th>\n",
              "      <td>Llamado publicado</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>...</th>\n",
              "      <td>...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>70</th>\n",
              "      <td>Nota de Comunicación Adenda/Aclaracion (opcional)</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>71</th>\n",
              "      <td>Condiciones Generales del Contrato - Obras</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>72</th>\n",
              "      <td>Condiciones Generales del Contrato - Servicios de Limpieza</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>73</th>\n",
              "      <td>Publicación en periódicos</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>74</th>\n",
              "      <td>Nota Comunicación</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>75</th>\n",
              "      <td>Proforma de Contrato CD</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>76</th>\n",
              "      <td>Condiciones Generales del Contrato - Bienes y Servicios por Subasta</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>77</th>\n",
              "      <td>Adenda</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>78</th>\n",
              "      <td>Nota de Observacion</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>79</th>\n",
              "      <td>evaluationReports</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>80</th>\n",
              "      <td>Instrucción a los Oferentes - Seguridad y Vigilancia</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>81</th>\n",
              "      <td>Constancia Adreferendum</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>82</th>\n",
              "      <td>Informe de catástro</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>83</th>\n",
              "      <td>Carta de invitación a los oferentes</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>84</th>\n",
              "      <td>Fotocopia de Título</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>85</th>\n",
              "      <td>Evaluación Impacto Ambiental</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>86</th>\n",
              "      <td>Condiciones Generales del Contrato - Seguros Subasta</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>87</th>\n",
              "      <td>Instrucción a los Oferentes - Obras BID</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>88</th>\n",
              "      <td>Nota de Solicitud Adenda (Opcional)</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>89</th>\n",
              "      <td>Lista de precios</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>90</th>\n",
              "      <td>Condiciones Generales del Contrato - Almuerzo Escolar</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>91</th>\n",
              "      <td>Instrucción para los Consultores</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>92</th>\n",
              "      <td>biddingDocuments</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>93</th>\n",
              "      <td>Países Elegibles</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>94</th>\n",
              "      <td>Justificación Contrato Abierto</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>95</th>\n",
              "      <td>Condiciones Generales del Contrato - Provision de Pasajes Aereos</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>96</th>\n",
              "      <td>Informe de gravámenes y dominios</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>97</th>\n",
              "      <td>Instrucción a los Oferentes - Obras por Subasta</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>98</th>\n",
              "      <td>Dictamen Justificativo de Cancelación Llamado</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>99</th>\n",
              "      <td>Nota de Cancelación</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>100 rows × 1 columns</p>\n",
              "</div>"
            ],
            "text/plain": [
              "                                                           documenttype\n",
              "0   Nota de Rectificación                                              \n",
              "1   technicalSpecifications                                            \n",
              "2   Países Elegibles - Consultores BID                                 \n",
              "3   environmentalImpact                                                \n",
              "4   Resolución Cancelación Llamado                                     \n",
              "5   Permiso Municipal                                                  \n",
              "6   Condiciones Generales del Contrato - Obras por Subasta             \n",
              "7   Autorización del Equipo Ec. para Vehiculos                         \n",
              "8   Condiciones Generales del Contrato - Seguridad y Vigilancia        \n",
              "9   Notificación al Oferente                                           \n",
              "10  Datos Estadisticos Referenciales                                   \n",
              "11  Instrucción a los Oferentes - Servicios de Limpieza Subasta        \n",
              "12  Instrucción a los Oferentes - Seguros Subasta                      \n",
              "13  Flujo de fondos                                                    \n",
              "14  Justificación de abastecimiento simultáneo                         \n",
              "15  awardNotice                                                        \n",
              "16  Resolución del Convenio                                            \n",
              "17  Condiciones Generales del Contrato - Obras BID                     \n",
              "18  Nota de Respuesta Llamado                                          \n",
              "19  Instrucción a los Oferentes - Provision de Pasajes Aereos          \n",
              "20  Justificación de Contratación de Carácter Internacional            \n",
              "21  Certificado de DGEP                                                \n",
              "22  Dictamen del Llamado                                               \n",
              "23  No objeción                                                        \n",
              "24  Nota de Reparo                                                     \n",
              "25  Dictamen Justificativo de Declaración Desierta                     \n",
              "26  Carta de Invitación                                                \n",
              "27  Instrucción a los Oferentes - Seguridad y Vigilancia Subasta       \n",
              "28  Nota de Contestación                                               \n",
              "29  Llamado publicado                                                  \n",
              "..                ...                                                  \n",
              "70  Nota de Comunicación Adenda/Aclaracion (opcional)                  \n",
              "71  Condiciones Generales del Contrato - Obras                         \n",
              "72  Condiciones Generales del Contrato - Servicios de Limpieza         \n",
              "73  Publicación en periódicos                                          \n",
              "74  Nota Comunicación                                                  \n",
              "75  Proforma de Contrato CD                                            \n",
              "76  Condiciones Generales del Contrato - Bienes y Servicios por Subasta\n",
              "77  Adenda                                                             \n",
              "78  Nota de Observacion                                                \n",
              "79  evaluationReports                                                  \n",
              "80  Instrucción a los Oferentes - Seguridad y Vigilancia               \n",
              "81  Constancia Adreferendum                                            \n",
              "82  Informe de catástro                                                \n",
              "83  Carta de invitación a los oferentes                                \n",
              "84  Fotocopia de Título                                                \n",
              "85  Evaluación Impacto Ambiental                                       \n",
              "86  Condiciones Generales del Contrato - Seguros Subasta               \n",
              "87  Instrucción a los Oferentes - Obras BID                            \n",
              "88  Nota de Solicitud Adenda (Opcional)                                \n",
              "89  Lista de precios                                                   \n",
              "90  Condiciones Generales del Contrato - Almuerzo Escolar              \n",
              "91  Instrucción para los Consultores                                   \n",
              "92  biddingDocuments                                                   \n",
              "93  Países Elegibles                                                   \n",
              "94  Justificación Contrato Abierto                                     \n",
              "95  Condiciones Generales del Contrato - Provision de Pasajes Aereos   \n",
              "96  Informe de gravámenes y dominios                                   \n",
              "97  Instrucción a los Oferentes - Obras por Subasta                    \n",
              "98  Dictamen Justificativo de Cancelación Llamado                      \n",
              "99  Nota de Cancelación                                                \n",
              "\n",
              "[100 rows x 1 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 56
        }
      ]
    },
    {
      "metadata": {
        "id": "UkfEo4akXWF0",
        "colab_type": "text"
      },
      "cell_type": "markdown",
      "source": [
        "Between these 100 documents types we see a few useful types: *Carta de invitación a los oferentes* (Invitation letter to bidders), *Publicación en periódicos* (Newspaper Adverts), *Carta de Invitación* (Invitation letter), which complies with the announcement of opportunities this indicator is trying to measure. We use the following to count the tenders with invitations: "
      ]
    },
    {
      "metadata": {
        "id": "KO8ugCB_X56S",
        "colab_type": "code",
        "outputId": "1923bc6a-2abe-44c2-a040-e0d188b9c125",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 80
        }
      },
      "cell_type": "code",
      "source": [
        "querystring = base_querystring + \"\"\"\n",
        "  \n",
        "  SELECT\n",
        "    COUNT(DISTINCT data -> 'compiledRelease' ->> 'ocid') AS processCount\n",
        "  FROM\n",
        "    records\n",
        "  CROSS JOIN\n",
        "    jsonb_array_elements(data -> 'compiledRelease' -> 'tender' -> 'documents') AS documents\n",
        "   WHERE documents->>'documentType' IN ('Carta de invitación a los oferentes', 'Publicación en periódicos','Carta de Invitación')\n",
        "\"\"\"\n",
        "\n",
        "cur.execute(\"\"\"rollback\"\"\")\n",
        "\n",
        "cur.execute(querystring)\n",
        "\n",
        "results = getResults(cur)\n",
        "\n",
        "results"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "<div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>processcount</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>25969</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "   processcount\n",
              "0  25969       "
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 58
        }
      ]
    },
    {
      "metadata": {
        "colab_type": "text",
        "id": "x8o-pvECc18U"
      },
      "cell_type": "markdown",
      "source": [
        "Looking at the results, the number of tenders open to bids is 25969/36033 = **72.1%**."
      ]
    },
    {
      "metadata": {
        "id": "ZXUzPU4Hsis2",
        "colab_type": "text"
      },
      "cell_type": "markdown",
      "source": [
        "#### 3.1.2. Contract awards (purpose, supplier, value, variations/amendments)"
      ]
    },
    {
      "metadata": {
        "id": "DzLDDvB569N6",
        "colab_type": "text"
      },
      "cell_type": "markdown",
      "source": [
        "Lets see which OCDS fields we can use to calculate each piece of information required for this indicator:\n",
        "\n",
        "* *Purpose*: arguably, MAPS uses the term purpose to refer to *what* is being purchased. In OCDS this information is contained in the `tender/items` section.\n",
        "* *Supplier*: included in the `suppliers` field, should be at least one for each `award`.\n",
        "* *Value*: `value` should be present for each `awards` item. We know from previous sections that this is true for almost all releases.\n",
        "* *Variations/Amendments*: we know that the amendments are included as contracts that specify the field extendsContractID, therefore we know that they include amendments. Now, we can't verify that amendment information is complete or correct, so here we show how to calculate how many contracts include amendments only.\n",
        "\n",
        "So, from the list, we can check the suppliers and variations/amendments information."
      ]
    },
    {
      "metadata": {
        "id": "xvKiHZHdhGtX",
        "colab_type": "text"
      },
      "cell_type": "markdown",
      "source": [
        "Let's start with the items information. Is there any missing or empty list of items?"
      ]
    },
    {
      "metadata": {
        "id": "O7sCtn3-hrO2",
        "colab_type": "code",
        "outputId": "ed909345-d92e-4b28-efac-122b6e33789b",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 49
        }
      },
      "cell_type": "code",
      "source": [
        "querystring = base_querystring + \"\"\"\n",
        "  \n",
        "  SELECT\n",
        "    data -> 'compiledRelease' ->> 'ocid' AS ocid\n",
        "  FROM\n",
        "    records\n",
        "  WHERE\n",
        "    data -> 'compiledRelease' ? 'award'\n",
        "  AND\n",
        "    (data -> 'compiledRelease' -> 'tender' -> 'items' IS NULL OR jsonb_array_length(data -> 'compiledRelease' -> 'tender' -> 'items') = 0)\n",
        "\"\"\"\n",
        "\n",
        "cur.execute(\"\"\"rollback\"\"\")\n",
        "\n",
        "cur.execute(querystring)\n",
        "\n",
        "results = getResults(cur)\n",
        "\n",
        "results"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "<div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>ocid</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "Empty DataFrame\n",
              "Columns: [ocid]\n",
              "Index: []"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 59
        }
      ]
    },
    {
      "metadata": {
        "id": "_cdk3hMQaJiP",
        "colab_type": "text"
      },
      "cell_type": "markdown",
      "source": [
        "Good! Seems like all procurement processes have a non-empty list of items."
      ]
    },
    {
      "metadata": {
        "id": "xL3Mr9CQpz2y",
        "colab_type": "text"
      },
      "cell_type": "markdown",
      "source": [
        "Now, let's go to the suppliers: do any contract awards have an invalid supplier list?"
      ]
    },
    {
      "metadata": {
        "id": "m_Zq-mpxm9A_",
        "colab_type": "code",
        "outputId": "ff8d9e1f-c9d2-420c-f952-99d34b969556",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 49
        }
      },
      "cell_type": "code",
      "source": [
        "querystring = base_querystring + \"\"\"\n",
        "  \n",
        "  SELECT\n",
        "    data -> 'compiledRelease' ->> 'ocid' AS ocid\n",
        "  FROM\n",
        "    records\n",
        "  CROSS JOIN\n",
        "    jsonb_array_elements(data -> 'compiledRelease' -> 'awards') AS awards\n",
        "  WHERE\n",
        "    data -> 'compiledRelease' IS NOT NULL\n",
        "  AND\n",
        "    data -> 'compiledRelease' -> 'awards' IS NOT NULL\n",
        "  AND(\n",
        "      awards -> 'suppliers' IS NULL \n",
        "    OR \n",
        "      jsonb_array_length(awards -> 'suppliers') = 0\n",
        "  )\n",
        "  AND awards ->> 'status' <> 'unsuccessful'\n",
        "\"\"\"\n",
        "\n",
        "cur.execute(\"\"\"rollback\"\"\")\n",
        "\n",
        "cur.execute(querystring)\n",
        "\n",
        "results = getResults(cur)\n",
        "\n",
        "results"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "<div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
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              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>ocid</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "Empty DataFrame\n",
              "Columns: [ocid]\n",
              "Index: []"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 65
        }
      ]
    },
    {
      "metadata": {
        "id": "DF1gD1cPr31E",
        "colab_type": "text"
      },
      "cell_type": "markdown",
      "source": [
        "Great! 100% of contract awards include supplier information.\n",
        "\n",
        "Now, let's move to the amendment information:"
      ]
    },
    {
      "metadata": {
        "id": "XP1sV0IEFTik",
        "colab_type": "code",
        "outputId": "76b6a363-d971-473d-c57a-aad182ccdca5",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 80
        }
      },
      "cell_type": "code",
      "source": [
        "querystring = base_querystring + \"\"\"\n",
        "  \n",
        "  SELECT\n",
        "    COUNT(*) AS numberOfAmendedAwards\n",
        "  FROM\n",
        "    records\n",
        "  CROSS JOIN\n",
        "    jsonb_array_elements(data -> 'compiledRelease' -> 'contracts') AS contracts\n",
        "  WHERE\n",
        "    data -> 'compiledRelease' IS NOT NULL\n",
        "  AND\n",
        "    data -> 'compiledRelease' -> 'contracts' IS NOT NULL\n",
        "  AND\n",
        "    contracts -> 'extendsContractID' IS NOT NULL\n",
        "  \n",
        "\"\"\"\n",
        "\n",
        "cur.execute(\"\"\"rollback\"\"\")\n",
        "\n",
        "cur.execute(querystring)\n",
        "\n",
        "results = getResults(cur)\n",
        "\n",
        "results"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "<div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>numberofamendedawards</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>6435</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "   numberofamendedawards\n",
              "0  6435                 "
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 75
        }
      ]
    },
    {
      "metadata": {
        "id": "uA5vTiPuXiun",
        "colab_type": "text"
      },
      "cell_type": "markdown",
      "source": [
        "Looking at the results, the number of amendments is 6435/36033 = **17,8%** of contracting processes."
      ]
    },
    {
      "metadata": {
        "id": "KNRmQ7HyLInQ",
        "colab_type": "text"
      },
      "cell_type": "markdown",
      "source": [
        "#### 3.1.3. Details related to contract implementation (milestones, completion and payment)\n",
        "\n"
      ]
    },
    {
      "metadata": {
        "id": "8hflO2Zw7ApB",
        "colab_type": "text"
      },
      "cell_type": "markdown",
      "source": [
        "As before, let's separate the details of this indicator to check which OCDS fields we can use:\n",
        "\n",
        "* *Milestones*: present in the `contracts/implementation/milestones` field, Paraguay doesn't publish this data.\n",
        "* *Completion*: completion of a contract cannot be assessed using OCDS in its current version. \n",
        "* *Payment*: present in the `contracts/implementation/transactions` field, Paraguay doesn't publish this data..\n",
        "\n",
        "Let's verify this by checking if there are releases that use the `contracts/implementation` section."
      ]
    },
    {
      "metadata": {
        "id": "nVB_BlPH0AA7",
        "colab_type": "code",
        "outputId": "07664383-b92c-4a90-a506-719c1ca1a395",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 80
        }
      },
      "cell_type": "code",
      "source": [
        "querystring = base_querystring + \"\"\"\n",
        "  \n",
        "  SELECT\n",
        "   COUNT(DISTINCT data -> 'compiledRelease' ->> 'ocid') AS processCount\n",
        "  FROM\n",
        "    records\n",
        "  CROSS JOIN jsonb_array_elements(data -> 'compiledRelease' -> 'contracts') AS contracts\n",
        "  WHERE\n",
        "    contracts ? 'implementation' -- does this key exists in contracts?\n",
        "\"\"\"\n",
        "\n",
        "cur.execute(\"\"\"rollback\"\"\")\n",
        "\n",
        "cur.execute(querystring)\n",
        "\n",
        "results = getResults(cur)\n",
        "\n",
        "results"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "<div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>processcount</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "   processcount\n",
              "0  0           "
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 105
        }
      ]
    },
    {
      "metadata": {
        "id": "uZSJzP5N0DMn",
        "colab_type": "text"
      },
      "cell_type": "markdown",
      "source": [
        "We can conclude that Paraguay does not publish any contract implementation information."
      ]
    },
    {
      "metadata": {
        "id": "YaYwnTGRkynx",
        "colab_type": "text"
      },
      "cell_type": "markdown",
      "source": [
        "### 3.2 Annual Procurement Statistics"
      ]
    },
    {
      "metadata": {
        "id": "7FA-fj1G7E_b",
        "colab_type": "text"
      },
      "cell_type": "markdown",
      "source": [
        "The indicator *Annual procurement statistics* measures if these are published each year: information that can not measure with OCDS. But a complete dataset in OCDS format can still be useful for a publisher that wants to meet this indicator; therefore, in this section we show how to calculate a few annual statistics with OCDS data.\n",
        "\n",
        "MAPS does not specify what information should be included in annual statistics, but we can try a few basic ones.\n",
        "\n",
        "We will use the year chosen on section 2.1 for the following:"
      ]
    },
    {
      "metadata": {
        "id": "6rCQQQzpyZmJ",
        "colab_type": "text"
      },
      "cell_type": "markdown",
      "source": [
        "#### How many tenders were conducted?"
      ]
    },
    {
      "metadata": {
        "id": "yJQ2tAwAk3gN",
        "colab_type": "code",
        "outputId": "6b4471de-e21f-47c0-84c3-0c407f3dea51",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 80
        }
      },
      "cell_type": "code",
      "source": [
        "querystring = \"\"\"\n",
        "  WITH releases AS (\n",
        "    SELECT\n",
        "      data -> 'compiledRelease' AS data,\n",
        "      releases -> 'tag' AS tag\n",
        "    FROM\n",
        "      data\n",
        "    JOIN\n",
        "      record on data.id = record.data_id\n",
        "    JOIN\n",
        "      collection_file_status ON record.collection_file_status_id = collection_file_status.id\n",
        "    JOIN\n",
        "      collection ON collection_file_status.collection_id = collection.id\n",
        "   CROSS JOIN\n",
        "      jsonb_array_elements(data -> 'releases') AS releases\n",
        "    WHERE\n",
        "      source_id ='\"\"\" + source_id + \"\"\"' and data_version='\"\"\" + data_version + \"\"\"'\n",
        "    AND\n",
        "      EXTRACT(year FROM CAST(releases ->> 'date' AS TIMESTAMP)) = 2017\n",
        "    AND \n",
        "      data -> 'compiledRelease' IS NOT NULL\n",
        "  )\n",
        "  \n",
        "  SELECT\n",
        "    COUNT(DISTINCT data -> 'ocid') AS numberoftenders\n",
        "  FROM\n",
        "    releases\n",
        "  WHERE\n",
        "    tag ? 'tender'\n",
        "\"\"\"\n",
        "\n",
        "cur.execute(\"\"\"rollback\"\"\")\n",
        "\n",
        "cur.execute(querystring)\n",
        "\n",
        "results = getResults(cur)\n",
        "\n",
        "results"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "<div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>numberoftenders</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>13014</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "   numberoftenders\n",
              "0  13014          "
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 80
        }
      ]
    },
    {
      "metadata": {
        "id": "sHtIiQrHoTKB",
        "colab_type": "text"
      },
      "cell_type": "markdown",
      "source": [
        "#### How many contracts were awarded?"
      ]
    },
    {
      "metadata": {
        "id": "-4pobrRUoVyz",
        "colab_type": "code",
        "outputId": "d65c36d9-8c71-4708-9e3a-737028b50dad",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 80
        }
      },
      "cell_type": "code",
      "source": [
        "querystring = \"\"\"\n",
        "  WITH releases AS (\n",
        "    SELECT\n",
        "      contracts AS data\n",
        "    FROM\n",
        "      data\n",
        "    JOIN\n",
        "      record on data.id = record.data_id\n",
        "    JOIN\n",
        "      collection_file_status ON record.collection_file_status_id = collection_file_status.id\n",
        "    JOIN\n",
        "      collection ON collection_file_status.collection_id = collection.id\n",
        "    CROSS JOIN\n",
        "      jsonb_array_elements(data -> 'releases') AS releases\n",
        "    CROSS JOIN\n",
        "      jsonb_array_elements(data-> 'compiledRelease' -> 'contracts') AS contracts\n",
        "    WHERE\n",
        "      source_id ='\"\"\" + source_id + \"\"\"' and data_version='\"\"\" + data_version + \"\"\"'\n",
        "      AND \n",
        "        data -> 'compiledRelease' IS NOT NULL\n",
        "      AND\n",
        "        EXTRACT(year FROM CAST(releases ->> 'date' AS TIMESTAMP)) = 2017\n",
        "      AND \n",
        "        data -> 'compiledRelease' -> 'contracts' IS NOT NULL\n",
        "      AND \n",
        "        contracts ->> 'dncpContractCode' <> 'Pendiente de Emisión'\n",
        "      AND \n",
        "        contracts ->> 'extendedContractId' IS NULL\n",
        "  )\n",
        "  \n",
        "  SELECT\n",
        "    COUNT(DISTINCT data -> 'id') AS number_of_contracts\n",
        "  FROM\n",
        "    releases\n",
        "\"\"\"\n",
        "\n",
        "cur.execute(\"\"\"rollback\"\"\")\n",
        "\n",
        "cur.execute(querystring)\n",
        "\n",
        "results = getResults(cur)\n",
        "\n",
        "results"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "<div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>number_of_contracts</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>19692</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "   number_of_contracts\n",
              "0  19692              "
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 81
        }
      ]
    },
    {
      "metadata": {
        "id": "GMUJtkcyp1NF",
        "colab_type": "text"
      },
      "cell_type": "markdown",
      "source": [
        "#### Top 10 Suppliers in 2017"
      ]
    },
    {
      "metadata": {
        "id": "Z9bL7iOknNNq",
        "colab_type": "text"
      },
      "cell_type": "markdown",
      "source": [
        "Although we can't know for sure how many suppliers are duplicated, we include the following to demonstrate how suppliers information can be used. \n",
        "\n",
        "Let's calculate how much each supplier earned in Paraguayan Guarani and pick the top 10:"
      ]
    },
    {
      "metadata": {
        "id": "V_YwRpUUp5Zd",
        "colab_type": "code",
        "outputId": "676e9d4d-66bf-4899-9fee-9a5aaa7d1f43",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 359
        }
      },
      "cell_type": "code",
      "source": [
        "querystring = \"\"\"\n",
        "  WITH data AS (\n",
        "    SELECT\n",
        "      data -> 'compiledRelease' AS data\n",
        "    FROM\n",
        "      data\n",
        "    JOIN\n",
        "      record on data.id = record.data_id\n",
        "    JOIN\n",
        "      collection_file_status ON record.collection_file_status_id = collection_file_status.id\n",
        "    JOIN\n",
        "      collection ON collection_file_status.collection_id = collection.id\n",
        "     CROSS JOIN\n",
        "       jsonb_array_elements(data -> 'releases') AS releases\n",
        "    WHERE\n",
        "      source_id ='\"\"\" + source_id + \"\"\"' and data_version='\"\"\" + data_version + \"\"\"'\n",
        "      AND\n",
        "        EXTRACT(year FROM CAST(releases ->> 'date' AS TIMESTAMP)) = 2017\n",
        "      AND\n",
        "        releases -> 'tag' ? 'contract'\n",
        "  ), \n",
        "  \n",
        "  currencies AS (\n",
        "    SELECT\n",
        "      *\n",
        "    FROM (VALUES\n",
        "      ('USD', 5900),\n",
        "      ('PYG', 1))\n",
        "    AS t(currency,value)\n",
        "  )\n",
        "  \n",
        "  SELECT\n",
        "    contracts-> 'suppliers' ->> 'name' AS name,\n",
        "    SUM((contracts -> 'value' ->> 'amount')::NUMERIC * currencies.value) as totalContractValue\n",
        "  FROM\n",
        "    data\n",
        "  CROSS JOIN\n",
        "    jsonb_array_elements(data -> 'contracts') AS contracts\n",
        "  JOIN \n",
        "    currencies\n",
        "    ON\n",
        "      currencies.currency = contracts -> 'value' ->> 'currency'\n",
        "  WHERE\n",
        "    contracts -> 'value' ->> 'amount' IS NOT NULL\n",
        "    AND \n",
        "      contracts-> 'suppliers' ->> 'name' IS NOT NULL\n",
        "  GROUP BY\n",
        "    contracts-> 'suppliers' ->> 'name'\n",
        "  ORDER BY\n",
        "    SUM((contracts -> 'value' ->> 'amount')::NUMERIC * currencies.value) DESC\n",
        "  LIMIT\n",
        "    10\n",
        "    \n",
        "\"\"\"\n",
        "\n",
        "cur.execute(\"\"\"rollback\"\"\")\n",
        "\n",
        "cur.execute(querystring)\n",
        "\n",
        "results = getResults(cur)\n",
        "\n",
        "results"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "<div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>name</th>\n",
              "      <th>totalcontractvalue</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>GLENCORE INTERNATIONAL AG</td>\n",
              "      <td>1785807962112.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>Trafigura Pte Ltd</td>\n",
              "      <td>922496073728.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>Lukoil Pan Americas, LLC</td>\n",
              "      <td>733038051328.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>EUROQUIMICA S.A.</td>\n",
              "      <td>710245203392.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>ECOMIPA S.A.</td>\n",
              "      <td>610722973696.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>5</th>\n",
              "      <td>PROSALUDFARMA S.A.</td>\n",
              "      <td>555766755744.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>6</th>\n",
              "      <td>VICENTE SCAVONE &amp; CIA. S.A.E</td>\n",
              "      <td>487380284588.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>7</th>\n",
              "      <td>Consorcio TBI</td>\n",
              "      <td>478828232704.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>8</th>\n",
              "      <td>PANCHITA G DE NAVEGACION S.A.</td>\n",
              "      <td>478799986688.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>9</th>\n",
              "      <td>INDEX S.A.C.I.</td>\n",
              "      <td>404761568012.0</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "                            name totalcontractvalue\n",
              "0  GLENCORE INTERNATIONAL AG      1785807962112.0  \n",
              "1  Trafigura Pte Ltd              922496073728.0   \n",
              "2  Lukoil Pan Americas, LLC       733038051328.0   \n",
              "3  EUROQUIMICA S.A.               710245203392.0   \n",
              "4  ECOMIPA S.A.                   610722973696.0   \n",
              "5  PROSALUDFARMA S.A.             555766755744.0   \n",
              "6  VICENTE SCAVONE & CIA. S.A.E   487380284588.0   \n",
              "7  Consorcio TBI                  478828232704.0   \n",
              "8  PANCHITA G DE NAVEGACION S.A.  478799986688.0   \n",
              "9  INDEX S.A.C.I.                 404761568012.0   "
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 82
        }
      ]
    },
    {
      "metadata": {
        "id": "blI06C2EpE0C",
        "colab_type": "text"
      },
      "cell_type": "markdown",
      "source": [
        "Here we used the currency exchange rates picked in section 2.5, to have all the results in Paraguayan Guarani."
      ]
    },
    {
      "metadata": {
        "id": "JnpiS-uNg_o0",
        "colab_type": "text"
      },
      "cell_type": "markdown",
      "source": [
        "### 3.3. Uptake of e-Procurement"
      ]
    },
    {
      "metadata": {
        "id": "EH60T4T1hf1N",
        "colab_type": "text"
      },
      "cell_type": "markdown",
      "source": [
        "#### 3.3.1. Number of e-Procurement procedures in % of total number of procedures"
      ]
    },
    {
      "metadata": {
        "id": "q78qlmnsfOgP",
        "colab_type": "text"
      },
      "cell_type": "markdown",
      "source": [
        "Here, we will use the field `tender/submissionMethod` to distinguish e-procurement procedures from the ones that use other methods."
      ]
    },
    {
      "metadata": {
        "id": "HhvebZQRUArl",
        "colab_type": "code",
        "outputId": "593fadd7-a0c3-4d3e-e558-9d5e5d92ac9d",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 111
        }
      },
      "cell_type": "code",
      "source": [
        "querystring = base_querystring + \"\"\"\n",
        "  \n",
        "  SELECT DISTINCT\n",
        "    data -> 'compiledRelease' -> 'tender' ->> 'submissionMethod' AS submissionMethod,\n",
        "    COUNT(*) AS numberOfProcedures\n",
        "  FROM\n",
        "    records\n",
        "  WHERE \n",
        "    data -> 'compiledRelease' is not null\n",
        "  AND\n",
        "    data -> 'compiledRelease' -> 'tender' ->> 'submissionMethod' IS NOT NULL\n",
        "  GROUP BY\n",
        "    data -> 'compiledRelease' -> 'tender' ->> 'submissionMethod'\n",
        "\"\"\"\n",
        "\n",
        "cur.execute(\"\"\"rollback\"\"\")\n",
        "\n",
        "cur.execute(querystring)\n",
        "\n",
        "results = getResults(cur)\n",
        "\n",
        "results"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "<div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>submissionmethod</th>\n",
              "      <th>numberofprocedures</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>[\"electronicAuction\"]</td>\n",
              "      <td>2085</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>[\"written\"]</td>\n",
              "      <td>33948</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "        submissionmethod  numberofprocedures\n",
              "0  [\"electronicAuction\"]  2085              \n",
              "1  [\"written\"]            33948             "
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 83
        }
      ]
    },
    {
      "metadata": {
        "id": "q5LoVHH-t9LV",
        "colab_type": "text"
      },
      "cell_type": "markdown",
      "source": [
        "The proportion of procedures that use an e-procurement method is 2085/36033 = **5.7%**."
      ]
    },
    {
      "metadata": {
        "id": "IR6oBerLiK7-",
        "colab_type": "text"
      },
      "cell_type": "markdown",
      "source": [
        "#### 3.3.2. Value of e-Procurement procedures in % of total value of procedures"
      ]
    },
    {
      "metadata": {
        "id": "7HfJgz-0Eo2t",
        "colab_type": "text"
      },
      "cell_type": "markdown",
      "source": [
        "We can expand the previous query to add value information. Since the final value of a procurement procedure is defined in the contract signing, we will use the procedures that reached the contract stage only, and the values contained in the field `contracts/value`."
      ]
    },
    {
      "metadata": {
        "id": "5iBa3edWRF9m",
        "colab_type": "code",
        "outputId": "b134bbfe-dd36-4bf5-dd47-c6f821bcda1f",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 111
        }
      },
      "cell_type": "code",
      "source": [
        "querystring = base_querystring + \"\"\"\n",
        "  ,\n",
        "  currencies AS (\n",
        "    SELECT\n",
        "      *\n",
        "    FROM (VALUES\n",
        "      ('PYG', 1),\n",
        "      ('USD', 5900))\n",
        "    AS t(currency,value)\n",
        "  )\n",
        "  \n",
        "  SELECT\n",
        "    data -> 'compiledRelease' -> 'tender' ->> 'submissionMethod' AS submissionMethod,\n",
        "    COUNT(DISTINCT data -> 'compiledRelease' ->> 'ocid') AS numOfProcedures,\n",
        "    SUM((contracts -> 'value' ->> 'amount')::decimal * currencies.value) AS totalValue\n",
        "  FROM\n",
        "    records\n",
        "  CROSS JOIN\n",
        "    jsonb_array_elements(data -> 'compiledRelease' -> 'contracts') AS contracts\n",
        "  INNER JOIN currencies \n",
        "    ON currencies.currency = contracts -> 'value' ->> 'currency'\n",
        "  WHERE\n",
        "    data -> 'compiledRelease' IS NOT NULL\n",
        "  AND\n",
        "    data -> 'compiledRelease' -> 'contracts' IS NOT NULL\n",
        "  GROUP BY\n",
        "    data -> 'compiledRelease' -> 'tender' ->> 'submissionMethod'\n",
        "    \n",
        "\"\"\"\n",
        "\n",
        "cur.execute(\"\"\"rollback\"\"\")\n",
        "\n",
        "cur.execute(querystring)\n",
        "\n",
        "results = getResults(cur)\n",
        "\n",
        "results"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "<div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>submissionmethod</th>\n",
              "      <th>numofprocedures</th>\n",
              "      <th>totalvalue</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>[\"electronicAuction\"]</td>\n",
              "      <td>1515</td>\n",
              "      <td>14660209373990.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>[\"written\"]</td>\n",
              "      <td>27016</td>\n",
              "      <td>23146891807737.0</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "        submissionmethod  numofprocedures        totalvalue\n",
              "0  [\"electronicAuction\"]  1515             14660209373990.0\n",
              "1  [\"written\"]            27016            23146891807737.0"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 85
        }
      ]
    },
    {
      "metadata": {
        "id": "xIqsKeCCT3qP",
        "colab_type": "text"
      },
      "cell_type": "markdown",
      "source": [
        "Let's put these results in a nicer table to find the answer:\n",
        "\n",
        "| Submission Method | Value | % |\n",
        "|--|--|--|\n",
        "| Written | 23,146,891,807,737 | 61 |\n",
        "| Electronic Auction | 14,660,209,373,990 | 39 |\n",
        "| **Total** | **3,780710118×10¹³** | **100** |\n",
        "\n",
        "\n",
        "Only the **39%** of the procurement value corresponds to e-procurement procedures."
      ]
    },
    {
      "metadata": {
        "id": "7yTfcWQphmgy",
        "colab_type": "text"
      },
      "cell_type": "markdown",
      "source": [
        "### 3.4. Total Number of Contracts"
      ]
    },
    {
      "metadata": {
        "id": "5gQfTpfLp9ba",
        "colab_type": "text"
      },
      "cell_type": "markdown",
      "source": [
        "We can get this information by counting the contracts contained in the `contracts` array."
      ]
    },
    {
      "metadata": {
        "id": "aUOxGPq_1NIz",
        "colab_type": "code",
        "outputId": "cc67d44f-c98a-4648-bdc8-1ac7f774f7ca",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 80
        }
      },
      "cell_type": "code",
      "source": [
        "querystring = base_querystring + \"\"\"\n",
        "  \n",
        "  SELECT\n",
        "    COUNT(*)\n",
        "  FROM\n",
        "    records\n",
        "  CROSS JOIN\n",
        "    jsonb_array_elements(data -> 'compiledRelease' -> 'contracts') AS contracts\n",
        "  WHERE\n",
        "    data -> 'compiledRelease' IS NOT NULL\n",
        "    AND\n",
        "      contracts -> 'extendsContractID' IS NULL \n",
        "    AND \n",
        "      contracts ->> 'dncpContractCode' <> 'Pendiente de Emisión'\n",
        "\"\"\"\n",
        "\n",
        "cur.execute(\"\"\"rollback\"\"\")\n",
        "\n",
        "cur.execute(querystring)\n",
        "\n",
        "results = getResults(cur)\n",
        "\n",
        "results"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "<div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>count</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>37272</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "   count\n",
              "0  37272"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 86
        }
      ]
    },
    {
      "metadata": {
        "id": "UqePMv-BvxHS",
        "colab_type": "text"
      },
      "cell_type": "markdown",
      "source": [
        "We have 37,272 contracts for the total publishing period."
      ]
    },
    {
      "metadata": {
        "id": "qfLIIBGwiRj8",
        "colab_type": "text"
      },
      "cell_type": "markdown",
      "source": [
        "### 3.5. Total Value of Contracts"
      ]
    },
    {
      "metadata": {
        "id": "wXMtI5Z28cuC",
        "colab_type": "text"
      },
      "cell_type": "markdown",
      "source": [
        "We can take the total value of procedures in section 2.3.3 to know the answer: \t**3,780710118×10¹³\tPYG**."
      ]
    },
    {
      "metadata": {
        "id": "Lkov9MHEiVWq",
        "colab_type": "text"
      },
      "cell_type": "markdown",
      "source": [
        "### 3.6. Public procurement as a share of government expenditure and as share of GDP"
      ]
    },
    {
      "metadata": {
        "id": "DQnVW5hUPuLU",
        "colab_type": "text"
      },
      "cell_type": "markdown",
      "source": [
        "We will calculate this indicator by using contracts signed in 2017 data only, to facilitate comparison."
      ]
    },
    {
      "metadata": {
        "id": "YMx8EfGpP5Nd",
        "colab_type": "code",
        "outputId": "0a7d80d7-250f-459c-b542-1374c477bea0",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 80
        }
      },
      "cell_type": "code",
      "source": [
        "querystring = base_querystring + \"\"\"\n",
        " , \n",
        "  currencies AS (\n",
        "    SELECT\n",
        "      *\n",
        "    FROM (VALUES\n",
        "      ('PYG', 1),\n",
        "      ('USD', 5900))\n",
        "    AS t(currency,value)\n",
        "  )\n",
        "  \n",
        "  SELECT\n",
        "    SUM((contracts -> 'value' ->> 'amount')::DECIMAL * currencies.value) AS total\n",
        "  FROM\n",
        "    records\n",
        "  CROSS JOIN\n",
        "    jsonb_array_elements(data -> 'compiledRelease' -> 'contracts') AS contracts\n",
        "  JOIN\n",
        "    currencies\n",
        "    ON\n",
        "      contracts -> 'value' ->> 'currency' = currencies.currency\n",
        "  WHERE\n",
        "    data -> 'compiledRelease' IS NOT NULL\n",
        "    AND\n",
        "      data -> 'compiledRelease' -> 'contracts' IS NOT NULL\n",
        "    AND \n",
        "      contracts ->> 'dateSigned' IS NOT NULL\n",
        "  AND\n",
        "    contracts ->> 'dateSigned' BETWEEN '2017-01-01' AND '2018-01-01'\n",
        "\"\"\"\n",
        "\n",
        "cur.execute(\"\"\"rollback\"\"\")\n",
        "\n",
        "cur.execute(querystring)\n",
        "\n",
        "results = getResults(cur)\n",
        "\n",
        "results"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "<div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>total</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>14441334704010.0</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "              total\n",
              "0  14441334704010.0"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 87
        }
      ]
    },
    {
      "metadata": {
        "id": "XXEKrMTYwzK7",
        "colab_type": "text"
      },
      "cell_type": "markdown",
      "source": [
        "So we have 14.441.334.704.010 PYG as the total expenses on public procurement for 2017. According to [this source](https://datos.hacienda.gov.py/), the total expenditure for 2017 was 62,208,156,000,000 PYG. The proportion would be:\n",
        "\n",
        "14.441.334.704.010/62,208,156,000,000=**~23%**.\n",
        "\n",
        "Paraguay's GDP in 2017, according to [this source](https://data.worldbank.org/indicator/NY.GDP.MKTP.CD?end=2017&start=2017), is 175,435,910 millions PYG, so the share of GDP would be:\n",
        "\n",
        "14.441.334.704.010/175,435,910,000,000=·**~8%**."
      ]
    },
    {
      "metadata": {
        "id": "rEJibw6Yig4W",
        "colab_type": "text"
      },
      "cell_type": "markdown",
      "source": [
        "### 3.7. Total value of contracts awarded through competitive methods in the most recent fiscal year"
      ]
    },
    {
      "metadata": {
        "id": "NUHyqJRTab-h",
        "colab_type": "text"
      },
      "cell_type": "markdown",
      "source": [
        "As Paraguay doesn't publish the procurement method type, let's calculate contract values by using the document types found in section 3.1.1, for the contracts that were awarded in 2017:"
      ]
    },
    {
      "metadata": {
        "id": "dFxnKEuxQmCr",
        "colab_type": "code",
        "outputId": "095e9f62-09d3-44a9-c62c-1a11159d9b37",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 80
        }
      },
      "cell_type": "code",
      "source": [
        "querystring = \"\"\"\n",
        "  WITH data AS (\n",
        "    SELECT\n",
        "      distinct data -> 'compiledRelease' AS data\n",
        "    FROM\n",
        "      data\n",
        "    JOIN\n",
        "      record on data.id = record.data_id\n",
        "    JOIN\n",
        "      collection_file_status ON record.collection_file_status_id = collection_file_status.id\n",
        "    JOIN\n",
        "      collection ON collection_file_status.collection_id = collection.id\n",
        "    CROSS JOIN\n",
        "      jsonb_array_elements(data-> 'compiledRelease' -> 'tender' -> 'documents') AS documents\n",
        "    WHERE\n",
        "      source_id ='\"\"\" + source_id + \"\"\"' and data_version='\"\"\" + data_version + \"\"\"'\n",
        "      AND \n",
        "        documents ->> 'documentType' IN ('Carta de invitación a los oferentes', 'Publicación en periódicos','Carta de Invitación')\n",
        "  ), \n",
        "  currencies AS (\n",
        "    SELECT\n",
        "      *\n",
        "    FROM (VALUES\n",
        "      ('PYG', 1),\n",
        "      ('USD', 5900))\n",
        "    AS t(currency,value)\n",
        "  )\n",
        "  \n",
        "  SELECT\n",
        "    SUM((contracts -> 'value' ->> 'amount')::DECIMAL * currencies.value) AS total\n",
        "  FROM\n",
        "    data\n",
        "  CROSS JOIN\n",
        "    jsonb_array_elements(data -> 'contracts') AS contracts\n",
        "  JOIN\n",
        "    currencies\n",
        "    ON\n",
        "      contracts -> 'value' ->> 'currency' = currencies.currency\n",
        "  WHERE\n",
        "    data -> 'contracts' IS NOT NULL\n",
        "    AND \n",
        "      contracts -> 'extendsContractID' IS NULL\n",
        "    AND\n",
        "      contracts ->> 'dateSigned' BETWEEN '2017-01-01' AND '2018-01-01'\n",
        "\"\"\"\n",
        "\n",
        "cur.execute(\"\"\"rollback\"\"\")\n",
        "\n",
        "cur.execute(querystring)\n",
        "\n",
        "results = getResults(cur)\n",
        "\n",
        "results"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "<div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>total</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>2794937146406.0</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "             total\n",
              "0  2794937146406.0"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 93
        }
      ]
    },
    {
      "metadata": {
        "id": "QvQy7GffciLh",
        "colab_type": "text"
      },
      "cell_type": "markdown",
      "source": [
        "According to the results, the total value of contracts is  **2.794.937.146.406 PYG**."
      ]
    },
    {
      "metadata": {
        "id": "azwVrLoOinH5",
        "colab_type": "text"
      },
      "cell_type": "markdown",
      "source": [
        "### 3.8. Share of contracts with complete and accurate records and databases (in %)"
      ]
    },
    {
      "metadata": {
        "id": "2apz59tyV0Zb",
        "colab_type": "text"
      },
      "cell_type": "markdown",
      "source": [
        "For obvious reasons we cannot verify the accuracy of the data, but we can check that important information is not being omitted. For starters, we look if the following information is present for all contracts:\n",
        "\n",
        "* Contract dates (signing, beggining, end)\n",
        "* Contract value\n",
        "* Items\n",
        "* Awarded suppliers\n",
        "\n",
        "The awarded suppliers were already verified in the indicator 3.1.2 and we know that there is a small amount of missing contract values from section 2.4.\n",
        "\n",
        "Let's calculate the remaining information, starting with contract dates:"
      ]
    },
    {
      "metadata": {
        "id": "0QrFQ1zURMPr",
        "colab_type": "code",
        "outputId": "8df4327e-0084-4f9d-fb77-03847bb69410",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1969
        }
      },
      "cell_type": "code",
      "source": [
        "querystring = base_querystring + \"\"\"\n",
        "  \n",
        "  SELECT\n",
        "    data -> 'compiledRelease' ->> 'ocid' AS ocid,\n",
        "    contracts ->> 'id' AS contractId,\n",
        "    contracts ->> 'dateSigned' AS dateSigned,\n",
        "    contracts -> 'period' AS period\n",
        "  FROM\n",
        "    records\n",
        "  CROSS JOIN\n",
        "    jsonb_array_elements(data -> 'compiledRelease' -> 'contracts') AS contracts\n",
        "  WHERE\n",
        "    data -> 'compiledRelease' -> 'contracts' IS NOT NULL\n",
        "    AND(\n",
        "        contracts -> 'dateSigned' IS NULL\n",
        "      OR\n",
        "        contracts ->> 'dateSigned' = ''\n",
        "      OR\n",
        "        contracts -> 'period' IS NULL\n",
        "      OR\n",
        "        contracts -> 'period' ->> 'startDate' IS NULL\n",
        "      OR\n",
        "        contracts -> 'period' ->> 'endDate' IS NULL\n",
        "      OR\n",
        "        contracts -> 'period' ->> 'startDate' = ''\n",
        "      OR\n",
        "        contracts -> 'period' ->> 'endDate' = ''\n",
        "    )\n",
        "   AND \n",
        "    contracts -> 'extendsContractID' IS NULL\n",
        "   AND\n",
        "    contracts ->> 'dncpContractCode' <> 'Pendiente de Emisión'\n",
        "\"\"\"\n",
        "\n",
        "cur.execute(\"\"\"rollback\"\"\")\n",
        "\n",
        "cur.execute(querystring)\n",
        "\n",
        "dates_results = getResults(cur)\n",
        "\n",
        "dates_results"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "<div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>ocid</th>\n",
              "      <th>contractid</th>\n",
              "      <th>datesigned</th>\n",
              "      <th>period</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>ocds-03ad3f-292776</td>\n",
              "      <td>292776-brick-s-a-3</td>\n",
              "      <td>2016-06-27T12:00:00Z</td>\n",
              "      <td>{'endDate': None, 'startDate': None}</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>ocds-03ad3f-301517</td>\n",
              "      <td>301517-chaco-i-industrial-comercial-sa-12</td>\n",
              "      <td>None</td>\n",
              "      <td>{'endDate': None, 'startDate': None}</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>ocds-03ad3f-301517</td>\n",
              "      <td>301517-codex-s-r-l-20</td>\n",
              "      <td>None</td>\n",
              "      <td>{'endDate': None, 'startDate': None}</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>ocds-03ad3f-302118</td>\n",
              "      <td>302118-distribuidora-ypacarai-sa-3</td>\n",
              "      <td>None</td>\n",
              "      <td>{'endDate': None, 'startDate': None}</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>ocds-03ad3f-303072</td>\n",
              "      <td>303072-ingemant-sa-5</td>\n",
              "      <td>None</td>\n",
              "      <td>{'endDate': None, 'startDate': None}</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>5</th>\n",
              "      <td>ocds-03ad3f-303072</td>\n",
              "      <td>303072-provindus-sa-3</td>\n",
              "      <td>None</td>\n",
              "      <td>{'endDate': None, 'startDate': None}</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>6</th>\n",
              "      <td>ocds-03ad3f-303072</td>\n",
              "      <td>303072-waldemar-willms-lowen-4</td>\n",
              "      <td>None</td>\n",
              "      <td>{'endDate': None, 'startDate': None}</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>7</th>\n",
              "      <td>ocds-03ad3f-303199</td>\n",
              "      <td>303199-provindus-sa-1</td>\n",
              "      <td>2016-10-17T12:00:00Z</td>\n",
              "      <td>{'endDate': None, 'startDate': None}</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>8</th>\n",
              "      <td>ocds-03ad3f-303807</td>\n",
              "      <td>303807-gustavo-enrique-fatecha-ortiz-3</td>\n",
              "      <td>None</td>\n",
              "      <td>{'endDate': None, 'startDate': None}</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>9</th>\n",
              "      <td>ocds-03ad3f-303807</td>\n",
              "      <td>303807-trovato-c-i-s-a-2</td>\n",
              "      <td>None</td>\n",
              "      <td>{'endDate': None, 'startDate': None}</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>10</th>\n",
              "      <td>ocds-03ad3f-303899</td>\n",
              "      <td>303899-distribuidora-policlinica-s-a-3</td>\n",
              "      <td>None</td>\n",
              "      <td>{'endDate': None, 'startDate': None}</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>11</th>\n",
              "      <td>ocds-03ad3f-304228</td>\n",
              "      <td>304228-sensicred-s-a-3</td>\n",
              "      <td>2016-09-06T12:00:00Z</td>\n",
              "      <td>{'endDate': None, 'startDate': None}</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>12</th>\n",
              "      <td>ocds-03ad3f-305393</td>\n",
              "      <td>305393-santillana-s-a-1</td>\n",
              "      <td>None</td>\n",
              "      <td>{'endDate': None, 'startDate': None}</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>13</th>\n",
              "      <td>ocds-03ad3f-305501</td>\n",
              "      <td>305501-emporio-ferreteria-s-r-l-5</td>\n",
              "      <td>2016-06-20T12:00:00Z</td>\n",
              "      <td>{'endDate': None, 'startDate': None}</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>14</th>\n",
              "      <td>ocds-03ad3f-305501</td>\n",
              "      <td>305501-ever-marcial-chamorro-pena-4</td>\n",
              "      <td>2016-06-20T12:00:00Z</td>\n",
              "      <td>{'endDate': None, 'startDate': None}</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>15</th>\n",
              "      <td>ocds-03ad3f-305594</td>\n",
              "      <td>305594-papelera-guaira-srl-12</td>\n",
              "      <td>2016-11-21T12:00:00Z</td>\n",
              "      <td>{'endDate': None, 'startDate': None}</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>16</th>\n",
              "      <td>ocds-03ad3f-306043</td>\n",
              "      <td>306043-artes-graficas-zamphiropolos-sa-1</td>\n",
              "      <td>None</td>\n",
              "      <td>{'endDate': None, 'startDate': None}</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>17</th>\n",
              "      <td>ocds-03ad3f-306178</td>\n",
              "      <td>306178-santiago-adolfo-vega-espinola-20</td>\n",
              "      <td>None</td>\n",
              "      <td>{'endDate': None, 'startDate': None}</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>18</th>\n",
              "      <td>ocds-03ad3f-306927</td>\n",
              "      <td>306927-aseguradora-yacyreta-s-a-seguros-4</td>\n",
              "      <td>2018-04-17T12:00:00Z</td>\n",
              "      <td>{'endDate': None, 'startDate': None}</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>19</th>\n",
              "      <td>ocds-03ad3f-307183</td>\n",
              "      <td>307183-m-f-industrial-comercial-representaciones-s-a-3</td>\n",
              "      <td>2016-12-13T12:00:00Z</td>\n",
              "      <td>{'endDate': None, 'startDate': None}</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>20</th>\n",
              "      <td>ocds-03ad3f-307341</td>\n",
              "      <td>307341-excelsis-sa-comercial-ind-ganadera-excelsis-sacig-4</td>\n",
              "      <td>2016-12-13T12:00:00Z</td>\n",
              "      <td>{'endDate': None, 'startDate': None}</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>21</th>\n",
              "      <td>ocds-03ad3f-307341</td>\n",
              "      <td>307341-mba-s-a-3</td>\n",
              "      <td>2016-12-13T12:00:00Z</td>\n",
              "      <td>{'endDate': None, 'startDate': None}</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>22</th>\n",
              "      <td>ocds-03ad3f-307341</td>\n",
              "      <td>307341-one-s-a-5</td>\n",
              "      <td>2016-12-13T12:00:00Z</td>\n",
              "      <td>{'endDate': None, 'startDate': None}</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>23</th>\n",
              "      <td>ocds-03ad3f-307357</td>\n",
              "      <td>307357-engineering-s-a-2</td>\n",
              "      <td>2016-10-27T12:00:00Z</td>\n",
              "      <td>{'endDate': None, 'startDate': None}</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>24</th>\n",
              "      <td>ocds-03ad3f-307367</td>\n",
              "      <td>307367-comtel-sociedad-anonima-7</td>\n",
              "      <td>2016-12-23T12:00:00Z</td>\n",
              "      <td>{'endDate': None, 'startDate': None}</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>25</th>\n",
              "      <td>ocds-03ad3f-307367</td>\n",
              "      <td>307367-diviserv-sa-6</td>\n",
              "      <td>2016-12-23T12:00:00Z</td>\n",
              "      <td>{'endDate': None, 'startDate': None}</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>26</th>\n",
              "      <td>ocds-03ad3f-307367</td>\n",
              "      <td>307367-j-fleischman-cia-srl-4</td>\n",
              "      <td>2016-12-23T12:00:00Z</td>\n",
              "      <td>{'endDate': None, 'startDate': None}</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>27</th>\n",
              "      <td>ocds-03ad3f-307367</td>\n",
              "      <td>307367-logicalis-paraguay-s-a-5</td>\n",
              "      <td>2016-12-23T12:00:00Z</td>\n",
              "      <td>{'endDate': None, 'startDate': None}</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>28</th>\n",
              "      <td>ocds-03ad3f-307460</td>\n",
              "      <td>307460-editorial-azeta-s-a-5</td>\n",
              "      <td>None</td>\n",
              "      <td>{'endDate': None, 'startDate': None}</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>29</th>\n",
              "      <td>ocds-03ad3f-307460</td>\n",
              "      <td>307460-editorial-pais-sa-4</td>\n",
              "      <td>None</td>\n",
              "      <td>{'endDate': None, 'startDate': None}</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>...</th>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4266</th>\n",
              "      <td>ocds-03ad3f-353304</td>\n",
              "      <td>353304-romeo-josef-ruoss-1</td>\n",
              "      <td>2018-11-07T12:00:00Z</td>\n",
              "      <td>{'endDate': None, 'startDate': None}</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4267</th>\n",
              "      <td>ocds-03ad3f-353308</td>\n",
              "      <td>353308-g-3-transportes-s-a-1</td>\n",
              "      <td>2018-11-05T08:22:00Z</td>\n",
              "      <td>{'endDate': None, 'startDate': None}</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4268</th>\n",
              "      <td>ocds-03ad3f-353310</td>\n",
              "      <td>353310-gilberto-flores-vera-1</td>\n",
              "      <td>2018-11-12T12:00:00Z</td>\n",
              "      <td>{'endDate': None, 'startDate': None}</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4269</th>\n",
              "      <td>ocds-03ad3f-353315</td>\n",
              "      <td>353315-sonia-elizabeth-benitez-torales-1</td>\n",
              "      <td>2018-11-08T15:00:00Z</td>\n",
              "      <td>{'endDate': None, 'startDate': None}</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4270</th>\n",
              "      <td>ocds-03ad3f-353318</td>\n",
              "      <td>353318-blas-sebastian-santacruz-arevalos-1</td>\n",
              "      <td>2018-11-06T15:00:00Z</td>\n",
              "      <td>{'endDate': None, 'startDate': None}</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4271</th>\n",
              "      <td>ocds-03ad3f-353399</td>\n",
              "      <td>353399-agromecanica-martinez-s-a-1</td>\n",
              "      <td>2018-11-13T12:00:00Z</td>\n",
              "      <td>{'endDate': None, 'startDate': None}</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4272</th>\n",
              "      <td>ocds-03ad3f-353448</td>\n",
              "      <td>353448-nestor-antonio-gonzalez-ortiz-1</td>\n",
              "      <td>2018-11-06T15:00:00Z</td>\n",
              "      <td>{'endDate': None, 'startDate': None}</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4273</th>\n",
              "      <td>ocds-03ad3f-353452</td>\n",
              "      <td>353452-rigoberto-nery-riveros-caceres-1</td>\n",
              "      <td>2018-11-13T10:00:00Z</td>\n",
              "      <td>{'endDate': None, 'startDate': None}</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4274</th>\n",
              "      <td>ocds-03ad3f-353509</td>\n",
              "      <td>353509-gilberto-flores-vera-1</td>\n",
              "      <td>2018-11-14T12:00:00Z</td>\n",
              "      <td>{'endDate': None, 'startDate': None}</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4275</th>\n",
              "      <td>ocds-03ad3f-353528</td>\n",
              "      <td>353528-rolando-porfirio-amarilla-servian-1</td>\n",
              "      <td>2018-11-13T12:00:00Z</td>\n",
              "      <td>{'endDate': None, 'startDate': None}</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4276</th>\n",
              "      <td>ocds-03ad3f-353530</td>\n",
              "      <td>353530-ignacio-javier-edwars-rojas-1</td>\n",
              "      <td>2018-11-12T12:00:00Z</td>\n",
              "      <td>{'endDate': None, 'startDate': None}</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4277</th>\n",
              "      <td>ocds-03ad3f-353534</td>\n",
              "      <td>353534-ignacio-javier-edwars-rojas-1</td>\n",
              "      <td>2018-11-12T12:00:00Z</td>\n",
              "      <td>{'endDate': None, 'startDate': None}</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4278</th>\n",
              "      <td>ocds-03ad3f-353884</td>\n",
              "      <td>353884-jaco-friderico-klassen-1</td>\n",
              "      <td>2018-11-13T09:00:00Z</td>\n",
              "      <td>{'endDate': None, 'startDate': None}</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4279</th>\n",
              "      <td>ocds-03ad3f-300359</td>\n",
              "      <td>300359-sda-paraguay-sa-3</td>\n",
              "      <td>None</td>\n",
              "      <td>{'endDate': None, 'startDate': None}</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4280</th>\n",
              "      <td>ocds-03ad3f-300551</td>\n",
              "      <td>300551-falcon-com-ind-s-r-l-13</td>\n",
              "      <td>2017-06-09T12:00:00Z</td>\n",
              "      <td>{'endDate': None, 'startDate': None}</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4281</th>\n",
              "      <td>ocds-03ad3f-301256</td>\n",
              "      <td>301256-agr-sa-servicios-graficos-3</td>\n",
              "      <td>None</td>\n",
              "      <td>{'endDate': None, 'startDate': None}</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4282</th>\n",
              "      <td>ocds-03ad3f-301256</td>\n",
              "      <td>301256-industrias-graficas-nobel-s-a-4</td>\n",
              "      <td>None</td>\n",
              "      <td>{'endDate': None, 'startDate': None}</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4283</th>\n",
              "      <td>ocds-03ad3f-301256</td>\n",
              "      <td>301256-mercurio-s-a-5</td>\n",
              "      <td>None</td>\n",
              "      <td>{'endDate': None, 'startDate': None}</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4284</th>\n",
              "      <td>ocds-03ad3f-302221</td>\n",
              "      <td>302221-panal-compania-seguros-generales-sa-propiedad-cooperativa-4</td>\n",
              "      <td>2017-09-15T12:00:00Z</td>\n",
              "      <td>{'endDate': None, 'startDate': None}</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4285</th>\n",
              "      <td>ocds-03ad3f-302222</td>\n",
              "      <td>302222-v-v-s-a-1</td>\n",
              "      <td>None</td>\n",
              "      <td>{'endDate': None, 'startDate': None}</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4286</th>\n",
              "      <td>ocds-03ad3f-302421</td>\n",
              "      <td>302421-pintupar-srl-3</td>\n",
              "      <td>2016-10-19T12:00:00Z</td>\n",
              "      <td>{'endDate': None, 'startDate': None}</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4287</th>\n",
              "      <td>ocds-03ad3f-302421</td>\n",
              "      <td>302421-piro-y-s-a-2</td>\n",
              "      <td>None</td>\n",
              "      <td>{'endDate': None, 'startDate': None}</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4288</th>\n",
              "      <td>ocds-03ad3f-302711</td>\n",
              "      <td>302711-emporio-ferreteria-s-r-l-6</td>\n",
              "      <td>None</td>\n",
              "      <td>{'endDate': None, 'startDate': None}</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4289</th>\n",
              "      <td>ocds-03ad3f-302711</td>\n",
              "      <td>302711-ferreteria-industrial-srl-5</td>\n",
              "      <td>None</td>\n",
              "      <td>{'endDate': None, 'startDate': None}</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4290</th>\n",
              "      <td>ocds-03ad3f-302711</td>\n",
              "      <td>302711-gabriel-tiburcio-sanchez-valdez-8</td>\n",
              "      <td>None</td>\n",
              "      <td>{'endDate': None, 'startDate': None}</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4291</th>\n",
              "      <td>ocds-03ad3f-302711</td>\n",
              "      <td>302711-t-max-sa-7</td>\n",
              "      <td>None</td>\n",
              "      <td>{'endDate': None, 'startDate': None}</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4292</th>\n",
              "      <td>ocds-03ad3f-302769</td>\n",
              "      <td>302769-electropar-sa-4</td>\n",
              "      <td>None</td>\n",
              "      <td>{'endDate': None, 'startDate': None}</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4293</th>\n",
              "      <td>ocds-03ad3f-302769</td>\n",
              "      <td>302769-emporio-ferreteria-s-r-l-3</td>\n",
              "      <td>None</td>\n",
              "      <td>{'endDate': None, 'startDate': None}</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4294</th>\n",
              "      <td>ocds-03ad3f-302769</td>\n",
              "      <td>302769-piro-y-s-a-5</td>\n",
              "      <td>None</td>\n",
              "      <td>{'endDate': None, 'startDate': None}</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4295</th>\n",
              "      <td>ocds-03ad3f-294481</td>\n",
              "      <td>294481-aditivos-colorantes-s-r-l-1</td>\n",
              "      <td>None</td>\n",
              "      <td>{'endDate': None, 'startDate': None}</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>4296 rows × 4 columns</p>\n",
              "</div>"
            ],
            "text/plain": [
              "                    ocid  \\\n",
              "0     ocds-03ad3f-292776   \n",
              "1     ocds-03ad3f-301517   \n",
              "2     ocds-03ad3f-301517   \n",
              "3     ocds-03ad3f-302118   \n",
              "4     ocds-03ad3f-303072   \n",
              "5     ocds-03ad3f-303072   \n",
              "6     ocds-03ad3f-303072   \n",
              "7     ocds-03ad3f-303199   \n",
              "8     ocds-03ad3f-303807   \n",
              "9     ocds-03ad3f-303807   \n",
              "10    ocds-03ad3f-303899   \n",
              "11    ocds-03ad3f-304228   \n",
              "12    ocds-03ad3f-305393   \n",
              "13    ocds-03ad3f-305501   \n",
              "14    ocds-03ad3f-305501   \n",
              "15    ocds-03ad3f-305594   \n",
              "16    ocds-03ad3f-306043   \n",
              "17    ocds-03ad3f-306178   \n",
              "18    ocds-03ad3f-306927   \n",
              "19    ocds-03ad3f-307183   \n",
              "20    ocds-03ad3f-307341   \n",
              "21    ocds-03ad3f-307341   \n",
              "22    ocds-03ad3f-307341   \n",
              "23    ocds-03ad3f-307357   \n",
              "24    ocds-03ad3f-307367   \n",
              "25    ocds-03ad3f-307367   \n",
              "26    ocds-03ad3f-307367   \n",
              "27    ocds-03ad3f-307367   \n",
              "28    ocds-03ad3f-307460   \n",
              "29    ocds-03ad3f-307460   \n",
              "...                  ...   \n",
              "4266  ocds-03ad3f-353304   \n",
              "4267  ocds-03ad3f-353308   \n",
              "4268  ocds-03ad3f-353310   \n",
              "4269  ocds-03ad3f-353315   \n",
              "4270  ocds-03ad3f-353318   \n",
              "4271  ocds-03ad3f-353399   \n",
              "4272  ocds-03ad3f-353448   \n",
              "4273  ocds-03ad3f-353452   \n",
              "4274  ocds-03ad3f-353509   \n",
              "4275  ocds-03ad3f-353528   \n",
              "4276  ocds-03ad3f-353530   \n",
              "4277  ocds-03ad3f-353534   \n",
              "4278  ocds-03ad3f-353884   \n",
              "4279  ocds-03ad3f-300359   \n",
              "4280  ocds-03ad3f-300551   \n",
              "4281  ocds-03ad3f-301256   \n",
              "4282  ocds-03ad3f-301256   \n",
              "4283  ocds-03ad3f-301256   \n",
              "4284  ocds-03ad3f-302221   \n",
              "4285  ocds-03ad3f-302222   \n",
              "4286  ocds-03ad3f-302421   \n",
              "4287  ocds-03ad3f-302421   \n",
              "4288  ocds-03ad3f-302711   \n",
              "4289  ocds-03ad3f-302711   \n",
              "4290  ocds-03ad3f-302711   \n",
              "4291  ocds-03ad3f-302711   \n",
              "4292  ocds-03ad3f-302769   \n",
              "4293  ocds-03ad3f-302769   \n",
              "4294  ocds-03ad3f-302769   \n",
              "4295  ocds-03ad3f-294481   \n",
              "\n",
              "                                                              contractid  \\\n",
              "0     292776-brick-s-a-3                                                   \n",
              "1     301517-chaco-i-industrial-comercial-sa-12                            \n",
              "2     301517-codex-s-r-l-20                                                \n",
              "3     302118-distribuidora-ypacarai-sa-3                                   \n",
              "4     303072-ingemant-sa-5                                                 \n",
              "5     303072-provindus-sa-3                                                \n",
              "6     303072-waldemar-willms-lowen-4                                       \n",
              "7     303199-provindus-sa-1                                                \n",
              "8     303807-gustavo-enrique-fatecha-ortiz-3                               \n",
              "9     303807-trovato-c-i-s-a-2                                             \n",
              "10    303899-distribuidora-policlinica-s-a-3                               \n",
              "11    304228-sensicred-s-a-3                                               \n",
              "12    305393-santillana-s-a-1                                              \n",
              "13    305501-emporio-ferreteria-s-r-l-5                                    \n",
              "14    305501-ever-marcial-chamorro-pena-4                                  \n",
              "15    305594-papelera-guaira-srl-12                                        \n",
              "16    306043-artes-graficas-zamphiropolos-sa-1                             \n",
              "17    306178-santiago-adolfo-vega-espinola-20                              \n",
              "18    306927-aseguradora-yacyreta-s-a-seguros-4                            \n",
              "19    307183-m-f-industrial-comercial-representaciones-s-a-3               \n",
              "20    307341-excelsis-sa-comercial-ind-ganadera-excelsis-sacig-4           \n",
              "21    307341-mba-s-a-3                                                     \n",
              "22    307341-one-s-a-5                                                     \n",
              "23    307357-engineering-s-a-2                                             \n",
              "24    307367-comtel-sociedad-anonima-7                                     \n",
              "25    307367-diviserv-sa-6                                                 \n",
              "26    307367-j-fleischman-cia-srl-4                                        \n",
              "27    307367-logicalis-paraguay-s-a-5                                      \n",
              "28    307460-editorial-azeta-s-a-5                                         \n",
              "29    307460-editorial-pais-sa-4                                           \n",
              "...                          ...                                           \n",
              "4266  353304-romeo-josef-ruoss-1                                           \n",
              "4267  353308-g-3-transportes-s-a-1                                         \n",
              "4268  353310-gilberto-flores-vera-1                                        \n",
              "4269  353315-sonia-elizabeth-benitez-torales-1                             \n",
              "4270  353318-blas-sebastian-santacruz-arevalos-1                           \n",
              "4271  353399-agromecanica-martinez-s-a-1                                   \n",
              "4272  353448-nestor-antonio-gonzalez-ortiz-1                               \n",
              "4273  353452-rigoberto-nery-riveros-caceres-1                              \n",
              "4274  353509-gilberto-flores-vera-1                                        \n",
              "4275  353528-rolando-porfirio-amarilla-servian-1                           \n",
              "4276  353530-ignacio-javier-edwars-rojas-1                                 \n",
              "4277  353534-ignacio-javier-edwars-rojas-1                                 \n",
              "4278  353884-jaco-friderico-klassen-1                                      \n",
              "4279  300359-sda-paraguay-sa-3                                             \n",
              "4280  300551-falcon-com-ind-s-r-l-13                                       \n",
              "4281  301256-agr-sa-servicios-graficos-3                                   \n",
              "4282  301256-industrias-graficas-nobel-s-a-4                               \n",
              "4283  301256-mercurio-s-a-5                                                \n",
              "4284  302221-panal-compania-seguros-generales-sa-propiedad-cooperativa-4   \n",
              "4285  302222-v-v-s-a-1                                                     \n",
              "4286  302421-pintupar-srl-3                                                \n",
              "4287  302421-piro-y-s-a-2                                                  \n",
              "4288  302711-emporio-ferreteria-s-r-l-6                                    \n",
              "4289  302711-ferreteria-industrial-srl-5                                   \n",
              "4290  302711-gabriel-tiburcio-sanchez-valdez-8                             \n",
              "4291  302711-t-max-sa-7                                                    \n",
              "4292  302769-electropar-sa-4                                               \n",
              "4293  302769-emporio-ferreteria-s-r-l-3                                    \n",
              "4294  302769-piro-y-s-a-5                                                  \n",
              "4295  294481-aditivos-colorantes-s-r-l-1                                   \n",
              "\n",
              "                datesigned                                period  \n",
              "0     2016-06-27T12:00:00Z  {'endDate': None, 'startDate': None}  \n",
              "1     None                  {'endDate': None, 'startDate': None}  \n",
              "2     None                  {'endDate': None, 'startDate': None}  \n",
              "3     None                  {'endDate': None, 'startDate': None}  \n",
              "4     None                  {'endDate': None, 'startDate': None}  \n",
              "5     None                  {'endDate': None, 'startDate': None}  \n",
              "6     None                  {'endDate': None, 'startDate': None}  \n",
              "7     2016-10-17T12:00:00Z  {'endDate': None, 'startDate': None}  \n",
              "8     None                  {'endDate': None, 'startDate': None}  \n",
              "9     None                  {'endDate': None, 'startDate': None}  \n",
              "10    None                  {'endDate': None, 'startDate': None}  \n",
              "11    2016-09-06T12:00:00Z  {'endDate': None, 'startDate': None}  \n",
              "12    None                  {'endDate': None, 'startDate': None}  \n",
              "13    2016-06-20T12:00:00Z  {'endDate': None, 'startDate': None}  \n",
              "14    2016-06-20T12:00:00Z  {'endDate': None, 'startDate': None}  \n",
              "15    2016-11-21T12:00:00Z  {'endDate': None, 'startDate': None}  \n",
              "16    None                  {'endDate': None, 'startDate': None}  \n",
              "17    None                  {'endDate': None, 'startDate': None}  \n",
              "18    2018-04-17T12:00:00Z  {'endDate': None, 'startDate': None}  \n",
              "19    2016-12-13T12:00:00Z  {'endDate': None, 'startDate': None}  \n",
              "20    2016-12-13T12:00:00Z  {'endDate': None, 'startDate': None}  \n",
              "21    2016-12-13T12:00:00Z  {'endDate': None, 'startDate': None}  \n",
              "22    2016-12-13T12:00:00Z  {'endDate': None, 'startDate': None}  \n",
              "23    2016-10-27T12:00:00Z  {'endDate': None, 'startDate': None}  \n",
              "24    2016-12-23T12:00:00Z  {'endDate': None, 'startDate': None}  \n",
              "25    2016-12-23T12:00:00Z  {'endDate': None, 'startDate': None}  \n",
              "26    2016-12-23T12:00:00Z  {'endDate': None, 'startDate': None}  \n",
              "27    2016-12-23T12:00:00Z  {'endDate': None, 'startDate': None}  \n",
              "28    None                  {'endDate': None, 'startDate': None}  \n",
              "29    None                  {'endDate': None, 'startDate': None}  \n",
              "...    ...                                                   ...  \n",
              "4266  2018-11-07T12:00:00Z  {'endDate': None, 'startDate': None}  \n",
              "4267  2018-11-05T08:22:00Z  {'endDate': None, 'startDate': None}  \n",
              "4268  2018-11-12T12:00:00Z  {'endDate': None, 'startDate': None}  \n",
              "4269  2018-11-08T15:00:00Z  {'endDate': None, 'startDate': None}  \n",
              "4270  2018-11-06T15:00:00Z  {'endDate': None, 'startDate': None}  \n",
              "4271  2018-11-13T12:00:00Z  {'endDate': None, 'startDate': None}  \n",
              "4272  2018-11-06T15:00:00Z  {'endDate': None, 'startDate': None}  \n",
              "4273  2018-11-13T10:00:00Z  {'endDate': None, 'startDate': None}  \n",
              "4274  2018-11-14T12:00:00Z  {'endDate': None, 'startDate': None}  \n",
              "4275  2018-11-13T12:00:00Z  {'endDate': None, 'startDate': None}  \n",
              "4276  2018-11-12T12:00:00Z  {'endDate': None, 'startDate': None}  \n",
              "4277  2018-11-12T12:00:00Z  {'endDate': None, 'startDate': None}  \n",
              "4278  2018-11-13T09:00:00Z  {'endDate': None, 'startDate': None}  \n",
              "4279  None                  {'endDate': None, 'startDate': None}  \n",
              "4280  2017-06-09T12:00:00Z  {'endDate': None, 'startDate': None}  \n",
              "4281  None                  {'endDate': None, 'startDate': None}  \n",
              "4282  None                  {'endDate': None, 'startDate': None}  \n",
              "4283  None                  {'endDate': None, 'startDate': None}  \n",
              "4284  2017-09-15T12:00:00Z  {'endDate': None, 'startDate': None}  \n",
              "4285  None                  {'endDate': None, 'startDate': None}  \n",
              "4286  2016-10-19T12:00:00Z  {'endDate': None, 'startDate': None}  \n",
              "4287  None                  {'endDate': None, 'startDate': None}  \n",
              "4288  None                  {'endDate': None, 'startDate': None}  \n",
              "4289  None                  {'endDate': None, 'startDate': None}  \n",
              "4290  None                  {'endDate': None, 'startDate': None}  \n",
              "4291  None                  {'endDate': None, 'startDate': None}  \n",
              "4292  None                  {'endDate': None, 'startDate': None}  \n",
              "4293  None                  {'endDate': None, 'startDate': None}  \n",
              "4294  None                  {'endDate': None, 'startDate': None}  \n",
              "4295  None                  {'endDate': None, 'startDate': None}  \n",
              "\n",
              "[4296 rows x 4 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 96
        }
      ]
    },
    {
      "metadata": {
        "id": "TTLyjULcadg1",
        "colab_type": "text"
      },
      "cell_type": "markdown",
      "source": [
        "In total, 4,296 out of 37,272 contracts are incomplete because they do not provide date information (~11%).\n",
        "\n",
        "We already know that there are contracts with missing values, but let's run the query again to have the `ocid`s of the releases involved:"
      ]
    },
    {
      "metadata": {
        "id": "wcyfItMcda_U",
        "colab_type": "code",
        "outputId": "117b3eae-2617-4e48-dbda-3748feb5a58b",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 793
        }
      },
      "cell_type": "code",
      "source": [
        "querystring = base_querystring + \"\"\"\n",
        "  \n",
        "  SELECT\n",
        "    data -> 'compiledRelease' ->> 'ocid' AS ocid,\n",
        "    contracts ->> 'id' AS contractId,\n",
        "    contracts -> 'value' AS value\n",
        "  FROM\n",
        "    records\n",
        "  CROSS JOIN\n",
        "    jsonb_array_elements(data -> 'compiledRelease' -> 'contracts') AS contracts\n",
        "  WHERE\n",
        "    data -> 'compiledRelease' -> 'contracts' IS NOT NULL\n",
        "    AND(\n",
        "        contracts -> 'value' IS NULL\n",
        "      OR\n",
        "        contracts -> 'value' ->> 'currency' IS NULL\n",
        "      OR\n",
        "        contracts -> 'value' ->> 'amount' IS NULL\n",
        "      OR\n",
        "        contracts -> 'value' ->> 'currency' = ''\n",
        "      OR\n",
        "        contracts -> 'value' ->> 'amount' = ''\n",
        "      OR\n",
        "        (contracts -> 'value' ->> 'amount')::decimal = 0.0\n",
        "    )\n",
        "    AND\n",
        "      contracts -> 'extendsContractID' IS NULL\n",
        "    AND \n",
        "      contracts ->> 'dncpContractCode' <> 'Pendiente de Emisión'\n",
        "\"\"\"\n",
        "\n",
        "cur.execute(\"\"\"rollback\"\"\")\n",
        "\n",
        "cur.execute(querystring)\n",
        "\n",
        "values_results = getResults(cur)\n",
        "\n",
        "values_results"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "<div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>ocid</th>\n",
              "      <th>contractid</th>\n",
              "      <th>value</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>ocds-03ad3f-304994</td>\n",
              "      <td>304994-shirosawa-company-saic-13</td>\n",
              "      <td>{'amount': 0.0, 'currency': 'PYG'}</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>ocds-03ad3f-311107</td>\n",
              "      <td>311107-office-compu-sa-7</td>\n",
              "      <td>{'amount': 0.0, 'currency': 'PYG'}</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>ocds-03ad3f-317133</td>\n",
              "      <td>317133-nelson-federico-segovia-azucas-1</td>\n",
              "      <td>{'amount': 0.0, 'currency': 'PYG'}</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>ocds-03ad3f-321331</td>\n",
              "      <td>321331-ingenieria-tecnica-especializada-sa-1</td>\n",
              "      <td>{'amount': 0.0, 'currency': 'PYG'}</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>ocds-03ad3f-321471</td>\n",
              "      <td>321471-multimerc-s-r-l-8</td>\n",
              "      <td>{'amount': 0.0, 'currency': 'PYG'}</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>5</th>\n",
              "      <td>ocds-03ad3f-322570</td>\n",
              "      <td>322570-aqua-group-s-a-1</td>\n",
              "      <td>{'amount': 0.0, 'currency': 'PYG'}</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>6</th>\n",
              "      <td>ocds-03ad3f-324848</td>\n",
              "      <td>324848-disal-paraguay-srl-1</td>\n",
              "      <td>{'amount': 0.0, 'currency': 'PYG'}</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>7</th>\n",
              "      <td>ocds-03ad3f-325806</td>\n",
              "      <td>325806-christian-andres-santacruz-gomez-3</td>\n",
              "      <td>{'amount': 0.0, 'currency': 'PYG'}</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>8</th>\n",
              "      <td>ocds-03ad3f-326625</td>\n",
              "      <td>326625-comvence-s-a-10</td>\n",
              "      <td>{'amount': 0.0, 'currency': 'PYG'}</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>9</th>\n",
              "      <td>ocds-03ad3f-329893</td>\n",
              "      <td>329893-nancy-carolina-caballero-gimenez-3</td>\n",
              "      <td>{'amount': 0.0, 'currency': 'PYG'}</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>10</th>\n",
              "      <td>ocds-03ad3f-334071</td>\n",
              "      <td>334071-nelson-federico-segovia-azucas-1</td>\n",
              "      <td>{'amount': 0.0, 'currency': 'PYG'}</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>11</th>\n",
              "      <td>ocds-03ad3f-334720</td>\n",
              "      <td>334720-asfalto-tecnologico-s-a-2</td>\n",
              "      <td>{'amount': 0.0, 'currency': 'PYG'}</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>12</th>\n",
              "      <td>ocds-03ad3f-335186</td>\n",
              "      <td>335186-data-systems-sa-emisora-capital-abierto-5</td>\n",
              "      <td>{'amount': 0.0, 'currency': 'PYG'}</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>13</th>\n",
              "      <td>ocds-03ad3f-336221</td>\n",
              "      <td>336221-everest-ingenieria-s-r-l-2</td>\n",
              "      <td>{'amount': 0.0, 'currency': 'PYG'}</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>14</th>\n",
              "      <td>ocds-03ad3f-337702</td>\n",
              "      <td>337702-real-providencia-s-a-1</td>\n",
              "      <td>{'amount': 0.0, 'currency': 'PYG'}</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>15</th>\n",
              "      <td>ocds-03ad3f-338183</td>\n",
              "      <td>338183-tecnoedil-s-a-constructora-4</td>\n",
              "      <td>{'amount': 0.0, 'currency': 'PYG'}</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>16</th>\n",
              "      <td>ocds-03ad3f-337595</td>\n",
              "      <td>337595-la-comercial-asuncena-s-r-l-21</td>\n",
              "      <td>{'amount': 0.0, 'currency': 'PYG'}</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>17</th>\n",
              "      <td>ocds-03ad3f-337602</td>\n",
              "      <td>337602-sara-cristina-acosta-perez-26</td>\n",
              "      <td>{'amount': 0.0, 'currency': 'PYG'}</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>18</th>\n",
              "      <td>ocds-03ad3f-339351</td>\n",
              "      <td>339351-mundo-neumaticos-s-a-1</td>\n",
              "      <td>{'amount': 0.0, 'currency': 'PYG'}</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>19</th>\n",
              "      <td>ocds-03ad3f-340991</td>\n",
              "      <td>340991-mundo-neumaticos-s-a-1</td>\n",
              "      <td>{'amount': 0.0, 'currency': 'PYG'}</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>20</th>\n",
              "      <td>ocds-03ad3f-342903</td>\n",
              "      <td>342903-hugo-felix-benitez-peralta-10</td>\n",
              "      <td>{'amount': 0.0, 'currency': 'PYG'}</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>21</th>\n",
              "      <td>ocds-03ad3f-343454</td>\n",
              "      <td>343454-casa-sao-paulo-s-a-4</td>\n",
              "      <td>{'amount': 0.0, 'currency': 'PYG'}</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>22</th>\n",
              "      <td>ocds-03ad3f-344315</td>\n",
              "      <td>344315-alternativa-s-a-10</td>\n",
              "      <td>{'amount': 0.0, 'currency': 'PYG'}</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>23</th>\n",
              "      <td>ocds-03ad3f-344451</td>\n",
              "      <td>344451-jorge-rafael-cuevas-ozuna-1</td>\n",
              "      <td>{'amount': 0.0, 'currency': 'PYG'}</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "                  ocid                                        contractid  \\\n",
              "0   ocds-03ad3f-304994  304994-shirosawa-company-saic-13                   \n",
              "1   ocds-03ad3f-311107  311107-office-compu-sa-7                           \n",
              "2   ocds-03ad3f-317133  317133-nelson-federico-segovia-azucas-1            \n",
              "3   ocds-03ad3f-321331  321331-ingenieria-tecnica-especializada-sa-1       \n",
              "4   ocds-03ad3f-321471  321471-multimerc-s-r-l-8                           \n",
              "5   ocds-03ad3f-322570  322570-aqua-group-s-a-1                            \n",
              "6   ocds-03ad3f-324848  324848-disal-paraguay-srl-1                        \n",
              "7   ocds-03ad3f-325806  325806-christian-andres-santacruz-gomez-3          \n",
              "8   ocds-03ad3f-326625  326625-comvence-s-a-10                             \n",
              "9   ocds-03ad3f-329893  329893-nancy-carolina-caballero-gimenez-3          \n",
              "10  ocds-03ad3f-334071  334071-nelson-federico-segovia-azucas-1            \n",
              "11  ocds-03ad3f-334720  334720-asfalto-tecnologico-s-a-2                   \n",
              "12  ocds-03ad3f-335186  335186-data-systems-sa-emisora-capital-abierto-5   \n",
              "13  ocds-03ad3f-336221  336221-everest-ingenieria-s-r-l-2                  \n",
              "14  ocds-03ad3f-337702  337702-real-providencia-s-a-1                      \n",
              "15  ocds-03ad3f-338183  338183-tecnoedil-s-a-constructora-4                \n",
              "16  ocds-03ad3f-337595  337595-la-comercial-asuncena-s-r-l-21              \n",
              "17  ocds-03ad3f-337602  337602-sara-cristina-acosta-perez-26               \n",
              "18  ocds-03ad3f-339351  339351-mundo-neumaticos-s-a-1                      \n",
              "19  ocds-03ad3f-340991  340991-mundo-neumaticos-s-a-1                      \n",
              "20  ocds-03ad3f-342903  342903-hugo-felix-benitez-peralta-10               \n",
              "21  ocds-03ad3f-343454  343454-casa-sao-paulo-s-a-4                        \n",
              "22  ocds-03ad3f-344315  344315-alternativa-s-a-10                          \n",
              "23  ocds-03ad3f-344451  344451-jorge-rafael-cuevas-ozuna-1                 \n",
              "\n",
              "                                 value  \n",
              "0   {'amount': 0.0, 'currency': 'PYG'}  \n",
              "1   {'amount': 0.0, 'currency': 'PYG'}  \n",
              "2   {'amount': 0.0, 'currency': 'PYG'}  \n",
              "3   {'amount': 0.0, 'currency': 'PYG'}  \n",
              "4   {'amount': 0.0, 'currency': 'PYG'}  \n",
              "5   {'amount': 0.0, 'currency': 'PYG'}  \n",
              "6   {'amount': 0.0, 'currency': 'PYG'}  \n",
              "7   {'amount': 0.0, 'currency': 'PYG'}  \n",
              "8   {'amount': 0.0, 'currency': 'PYG'}  \n",
              "9   {'amount': 0.0, 'currency': 'PYG'}  \n",
              "10  {'amount': 0.0, 'currency': 'PYG'}  \n",
              "11  {'amount': 0.0, 'currency': 'PYG'}  \n",
              "12  {'amount': 0.0, 'currency': 'PYG'}  \n",
              "13  {'amount': 0.0, 'currency': 'PYG'}  \n",
              "14  {'amount': 0.0, 'currency': 'PYG'}  \n",
              "15  {'amount': 0.0, 'currency': 'PYG'}  \n",
              "16  {'amount': 0.0, 'currency': 'PYG'}  \n",
              "17  {'amount': 0.0, 'currency': 'PYG'}  \n",
              "18  {'amount': 0.0, 'currency': 'PYG'}  \n",
              "19  {'amount': 0.0, 'currency': 'PYG'}  \n",
              "20  {'amount': 0.0, 'currency': 'PYG'}  \n",
              "21  {'amount': 0.0, 'currency': 'PYG'}  \n",
              "22  {'amount': 0.0, 'currency': 'PYG'}  \n",
              "23  {'amount': 0.0, 'currency': 'PYG'}  "
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 97
        }
      ]
    },
    {
      "metadata": {
        "id": "j2QVSTHRKe3z",
        "colab_type": "text"
      },
      "cell_type": "markdown",
      "source": [
        "23 contracts out of 37,272 (**~0,06%**) have missing value information.\n",
        "\n",
        "Last, let's check the items of the contract. In Paraguay dataset, the items are included in the `contracts` section only, because multiple contracts can be related to a single award. "
      ]
    },
    {
      "metadata": {
        "id": "1PKGmMDRMaTA",
        "colab_type": "code",
        "outputId": "1c9858f2-2176-447f-d690-288f6066952c",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 328
        }
      },
      "cell_type": "code",
      "source": [
        "querystring = base_querystring + \"\"\"\n",
        "  \n",
        "  SELECT DISTINCT\n",
        "    data -> 'compiledRelease' ->> 'ocid' AS ocid,\n",
        "    contracts ->> 'id' AS contractId\n",
        "  FROM\n",
        "    records\n",
        "  CROSS JOIN\n",
        "    jsonb_array_elements(data -> 'compiledRelease' -> 'awards') AS awards\n",
        "  JOIN\n",
        "    jsonb_array_elements(data -> 'compiledRelease' -> 'contracts') AS contracts\n",
        "    ON\n",
        "      contracts ->> 'awardID' = awards ->> 'id'\n",
        "      AND \n",
        "        contracts -> 'extendsContractID' is null\n",
        "      AND \n",
        "        contracts ->> 'dncpContractCode' <> 'Pendiente de Emisión'\n",
        "  WHERE\n",
        "    contracts -> 'items' IS NULL\n",
        "    OR\n",
        "      jsonb_array_length(contracts -> 'items') < 1\n",
        "\"\"\"\n",
        "\n",
        "cur.execute(\"\"\"rollback\"\"\")\n",
        "\n",
        "cur.execute(querystring)\n",
        "\n",
        "items_results = getResults(cur)\n",
        "\n",
        "items_results"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "<div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>ocid</th>\n",
              "      <th>contractid</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>ocds-03ad3f-338439</td>\n",
              "      <td>338439-dental-sudamericana-s-r-l-8</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>ocds-03ad3f-326625</td>\n",
              "      <td>326625-comvence-s-a-10</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>ocds-03ad3f-337595</td>\n",
              "      <td>337595-la-comercial-asuncena-s-r-l-21</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>ocds-03ad3f-322108</td>\n",
              "      <td>322108-nelson-francisco-vera-quintana-16</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>ocds-03ad3f-329503</td>\n",
              "      <td>329503-master-soft-srl-6</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>5</th>\n",
              "      <td>ocds-03ad3f-304994</td>\n",
              "      <td>304994-shirosawa-company-saic-13</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>6</th>\n",
              "      <td>ocds-03ad3f-300124</td>\n",
              "      <td>300124-neri-javier-caballero-paez-9</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>7</th>\n",
              "      <td>ocds-03ad3f-337602</td>\n",
              "      <td>337602-sara-cristina-acosta-perez-26</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>8</th>\n",
              "      <td>ocds-03ad3f-321182</td>\n",
              "      <td>321182-industrias-graficas-nobel-s-a-56</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "                 ocid                                contractid\n",
              "0  ocds-03ad3f-338439  338439-dental-sudamericana-s-r-l-8      \n",
              "1  ocds-03ad3f-326625  326625-comvence-s-a-10                  \n",
              "2  ocds-03ad3f-337595  337595-la-comercial-asuncena-s-r-l-21   \n",
              "3  ocds-03ad3f-322108  322108-nelson-francisco-vera-quintana-16\n",
              "4  ocds-03ad3f-329503  329503-master-soft-srl-6                \n",
              "5  ocds-03ad3f-304994  304994-shirosawa-company-saic-13        \n",
              "6  ocds-03ad3f-300124  300124-neri-javier-caballero-paez-9     \n",
              "7  ocds-03ad3f-337602  337602-sara-cristina-acosta-perez-26    \n",
              "8  ocds-03ad3f-321182  321182-industrias-graficas-nobel-s-a-56 "
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 98
        }
      ]
    },
    {
      "metadata": {
        "id": "aLJzzaZwNnZ9",
        "colab_type": "text"
      },
      "cell_type": "markdown",
      "source": [
        "We have 8 contracts out of 37,272 (**~0.02%**) that have missing information."
      ]
    },
    {
      "metadata": {
        "id": "wfHzD-l-MRig",
        "colab_type": "text"
      },
      "cell_type": "markdown",
      "source": [
        "## Summary"
      ]
    },
    {
      "metadata": {
        "id": "ZS034e2WrVwK",
        "colab_type": "text"
      },
      "cell_type": "markdown",
      "source": [
        "The table below contains the calculated results for all the MAPS quantitative indicators.\n",
        "\n",
        "| # | Item | Result |\n",
        "| -- | -- | --|\n",
        "| 1 | Key Procurement Information published along the procurement cycle (in % of total number of contracts) | - |\n",
        "| 1.1 | Invitation to bid (in % of total number of contracts) | 72.1%. |\n",
        "| 1.2 |Contract awards: | - |\n",
        "| | Purpose | 100% |\n",
        "| | Supplier | 100% | \n",
        "| | Value | 100% | \n",
        "| | Variations/amendments | Included (see section 1.2) |\n",
        "| 1.3 | Details related to contract implementation | - | \n",
        "| | Milestones | 0% |\n",
        "| | Completion | 0% | \n",
        "| | Payment | 0% |\n",
        "| 2 | Annual procurement statistics | See section 3.2 |\n",
        "| 3 | Uptake of e-Procurement | - |\n",
        "| 3.1 |Number of e-Procurement procedures in % of total number of procedures | 5.7% |\n",
        "| 3.2 | Value of e-Procurement procedures in % of total value of procedures | 39% |\n",
        "| 4 | Total Number of Contracts | 37,272 |\n",
        "| 5 |Total Value of Contracts | 3,780710118×10¹³ PYG. |\n",
        "| 6 | Public procurement: | - | \n",
        "| | As a share of government expenditure | 23% | \n",
        "| | As share of GDP | 8% |\n",
        "| 7 |Total value of contracts awarded through competitive methods in the most recent fiscal year |  2,794,937,146,406 PYG. |\n",
        "| 8 | Share of contracts with complete ~~and accurate~~ records and databases (in %) | ~89%|\n",
        "\n",
        "As we have seen in here, MAPS quantitative indicators can be calculated by using OCDS data. But there are some things open to interpretation, like the value of procurement procedures: we used contracting values, but tendering and award values might be used as well if we want to include as many procurement procedures as possible. Having knowledge of how OCDS fields are filled would be an advantage.\n",
        "\n",
        "Completeness of the OCDS fields is important as well. Here we missed the opportunity to calculate parts of indicators because there is no contract implementation information available.\n",
        "\n",
        "As an ending note, we can point that the queries made here were simpler than they should be because Paraguay implements the record publication with the compiledRelease field. In the case of having releases, a good option would be to calculate the final state of each procurement process and save it in an additional table."
      ]
    }
  ]
}