brexit-tweets-by-time.ipynb

brexit-tweets-by-time.ipynb

{
  "cells": [
    {
      "cell_type": "code",
      "source": [
        "install.packages(c(\"httr\",\"tidyverse\",\"devtools\",\"wordcloud\"))\n",
        "devtools::install_github(\"sailthru/tidyjson\")\n",
        "library(httr)\n",
        "library(tidyverse)\n",
        "library(tidyjson)\n",
        "library(wordcloud)"
      ],
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "The downloaded binary packages are in\n",
            "\t/var/folders/vc/n318hh_x0bvg7hmb8_rgsdpxdkmc52/T//Rtmpqe8gWs/downloaded_packages\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "Skipping install of 'tidyjson' from a github remote, the SHA1 (b0ce478a) has not changed since last install.\n",
            "  Use `force = TRUE` to force installation\n",
            "Registered S3 methods overwritten by 'ggplot2':\n",
            "  method         from \n",
            "  [.quosures     rlang\n",
            "  c.quosures     rlang\n",
            "  print.quosures rlang\n",
            "Registered S3 method overwritten by 'rvest':\n",
            "  method            from\n",
            "  read_xml.response xml2\n",
            "── \u001b[1mAttaching packages\u001b[22m ─────────────────────────────────────── tidyverse 1.2.1 ──\n",
            "\u001b[32m✔\u001b[39m \u001b[34mggplot2\u001b[39m 3.1.1     \u001b[32m✔\u001b[39m \u001b[34mpurrr  \u001b[39m 0.3.2\n",
            "\u001b[32m✔\u001b[39m \u001b[34mtibble \u001b[39m 2.1.1     \u001b[32m✔\u001b[39m \u001b[34mdplyr  \u001b[39m 0.8.1\n",
            "\u001b[32m✔\u001b[39m \u001b[34mtidyr  \u001b[39m 0.8.3     \u001b[32m✔\u001b[39m \u001b[34mstringr\u001b[39m 1.4.0\n",
            "\u001b[32m✔\u001b[39m \u001b[34mreadr  \u001b[39m 1.3.1     \u001b[32m✔\u001b[39m \u001b[34mforcats\u001b[39m 0.4.0\n",
            "── \u001b[1mConflicts\u001b[22m ────────────────────────────────────────── tidyverse_conflicts() ──\n",
            "\u001b[31m✖\u001b[39m \u001b[34mdplyr\u001b[39m::\u001b[32mfilter()\u001b[39m masks \u001b[34mstats\u001b[39m::filter()\n",
            "\u001b[31m✖\u001b[39m \u001b[34mdplyr\u001b[39m::\u001b[32mlag()\u001b[39m    masks \u001b[34mstats\u001b[39m::lag()\n",
            "Loading required package: RColorBrewer\n"
          ]
        }
      ],
      "execution_count": 1,
      "metadata": {
        "collapsed": false,
        "outputHidden": false,
        "inputHidden": false
      }
    },
    {
      "cell_type": "code",
      "source": [
        "query <- list(\n",
        "    maxDocs = \"-1\", \n",
        "    field = \"created_at\",\n",
        "    fieldLength = 10 # this is here to cut the datetime off at the date (YYYY-MM-DD = 10 characters). Otherwise we'd probably end up with one group for each individual tweet.\n",
        ")\n",
        "r <- GET(\"https://vm1973.kaj.pouta.csc.fi/octavo/brexit/queryStats\", \n",
        "         query = query)\n",
        "d <- content(r,as=\"text\") %>% as.tbl_json\n",
        "df <- d %>% enter_object(\"result\",\"grouped\") %>% \n",
        "    gather_array %>% \n",
        "    spread_values(\n",
        "        date = jstring(\"fields\",\"created_at\"),\n",
        "        tweets = jnumber(\"stats\",\"docFreq\")\n",
        "    ) %>% \n",
        "    mutate(date=as.Date(date)) %>%\n",
        "    select(-document.id,-array.index)\n",
        "df\n",
        "ggplot(df,aes(x=date,y=tweets)) + geom_line()"
      ],
      "outputs": [
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "No encoding supplied: defaulting to UTF-8.\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
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              "<table>\n",
              "<caption>A data.frame: 49 × 2</caption>\n",
              "<thead>\n",
              "\t<tr><th scope=col>date</th><th scope=col>tweets</th></tr>\n",
              "\t<tr><th scope=col>&lt;date&gt;</th><th scope=col>&lt;dbl&gt;</th></tr>\n",
              "</thead>\n",
              "<tbody>\n",
              "\t<tr><td>2019-03-13</td><td>189659</td></tr>\n",
              "\t<tr><td>2019-03-29</td><td>178167</td></tr>\n",
              "\t<tr><td>2019-03-12</td><td>172507</td></tr>\n",
              "\t<tr><td>2019-03-27</td><td>155092</td></tr>\n",
              "\t<tr><td>2019-03-14</td><td>148212</td></tr>\n",
              "\t<tr><td>2019-03-21</td><td>142629</td></tr>\n",
              "\t<tr><td>2019-03-23</td><td>131923</td></tr>\n",
              "\t<tr><td>2019-03-20</td><td>131267</td></tr>\n",
              "\t<tr><td>2019-04-02</td><td>122006</td></tr>\n",
              "\t<tr><td>2019-04-03</td><td>119580</td></tr>\n",
              "\t<tr><td>2019-03-28</td><td>114910</td></tr>\n",
              "\t<tr><td>2019-04-01</td><td>104750</td></tr>\n",
              "\t<tr><td>2019-03-22</td><td>100592</td></tr>\n",
              "\t<tr><td>2019-04-04</td><td> 97731</td></tr>\n",
              "\t<tr><td>2019-03-24</td><td> 95015</td></tr>\n",
              "\t<tr><td>2019-03-30</td><td> 94038</td></tr>\n",
              "\t<tr><td>2019-04-10</td><td> 90672</td></tr>\n",
              "\t<tr><td>2019-04-11</td><td> 88768</td></tr>\n",
              "\t<tr><td>2019-03-25</td><td> 88486</td></tr>\n",
              "\t<tr><td>2019-04-05</td><td> 87259</td></tr>\n",
              "\t<tr><td>2019-03-26</td><td> 86340</td></tr>\n",
              "\t<tr><td>2019-03-11</td><td> 77131</td></tr>\n",
              "\t<tr><td>2019-04-09</td><td> 76658</td></tr>\n",
              "\t<tr><td>2019-04-08</td><td> 73085</td></tr>\n",
              "\t<tr><td>2019-03-19</td><td> 72241</td></tr>\n",
              "\t<tr><td>2019-03-18</td><td> 69486</td></tr>\n",
              "\t<tr><td>2019-02-26</td><td> 67658</td></tr>\n",
              "\t<tr><td>2019-03-31</td><td> 64456</td></tr>\n",
              "\t<tr><td>2019-03-15</td><td> 60429</td></tr>\n",
              "\t<tr><td>2019-04-07</td><td> 57112</td></tr>\n",
              "\t<tr><td>2019-04-06</td><td> 56939</td></tr>\n",
              "\t<tr><td>2019-02-27</td><td> 51336</td></tr>\n",
              "\t<tr><td>2019-03-10</td><td> 51184</td></tr>\n",
              "\t<tr><td>2019-03-17</td><td> 48578</td></tr>\n",
              "\t<tr><td>2019-03-06</td><td> 48103</td></tr>\n",
              "\t<tr><td>2019-03-08</td><td> 45858</td></tr>\n",
              "\t<tr><td>2019-03-05</td><td> 45463</td></tr>\n",
              "\t<tr><td>2019-02-28</td><td> 44670</td></tr>\n",
              "\t<tr><td>2019-03-16</td><td> 43575</td></tr>\n",
              "\t<tr><td>2019-04-12</td><td> 42631</td></tr>\n",
              "\t<tr><td>2019-03-07</td><td> 42496</td></tr>\n",
              "\t<tr><td>2019-03-09</td><td> 39559</td></tr>\n",
              "\t<tr><td>2019-03-04</td><td> 39444</td></tr>\n",
              "\t<tr><td>2019-03-01</td><td> 38447</td></tr>\n",
              "\t<tr><td>2019-04-14</td><td> 33153</td></tr>\n",
              "\t<tr><td>2019-03-03</td><td> 33128</td></tr>\n",
              "\t<tr><td>2019-04-13</td><td> 31681</td></tr>\n",
              "\t<tr><td>2019-03-02</td><td> 30702</td></tr>\n",
              "\t<tr><td>2019-04-15</td><td> 16847</td></tr>\n",
              "</tbody>\n",
              "</table>\n"
            ],
            "text/markdown": [
              "\n",
              "A data.frame: 49 × 2\n",
              "\n",
              "| date &lt;date&gt; | tweets &lt;dbl&gt; |\n",
              "|---|---|\n",
              "| 2019-03-13 | 189659 |\n",
              "| 2019-03-29 | 178167 |\n",
              "| 2019-03-12 | 172507 |\n",
              "| 2019-03-27 | 155092 |\n",
              "| 2019-03-14 | 148212 |\n",
              "| 2019-03-21 | 142629 |\n",
              "| 2019-03-23 | 131923 |\n",
              "| 2019-03-20 | 131267 |\n",
              "| 2019-04-02 | 122006 |\n",
              "| 2019-04-03 | 119580 |\n",
              "| 2019-03-28 | 114910 |\n",
              "| 2019-04-01 | 104750 |\n",
              "| 2019-03-22 | 100592 |\n",
              "| 2019-04-04 |  97731 |\n",
              "| 2019-03-24 |  95015 |\n",
              "| 2019-03-30 |  94038 |\n",
              "| 2019-04-10 |  90672 |\n",
              "| 2019-04-11 |  88768 |\n",
              "| 2019-03-25 |  88486 |\n",
              "| 2019-04-05 |  87259 |\n",
              "| 2019-03-26 |  86340 |\n",
              "| 2019-03-11 |  77131 |\n",
              "| 2019-04-09 |  76658 |\n",
              "| 2019-04-08 |  73085 |\n",
              "| 2019-03-19 |  72241 |\n",
              "| 2019-03-18 |  69486 |\n",
              "| 2019-02-26 |  67658 |\n",
              "| 2019-03-31 |  64456 |\n",
              "| 2019-03-15 |  60429 |\n",
              "| 2019-04-07 |  57112 |\n",
              "| 2019-04-06 |  56939 |\n",
              "| 2019-02-27 |  51336 |\n",
              "| 2019-03-10 |  51184 |\n",
              "| 2019-03-17 |  48578 |\n",
              "| 2019-03-06 |  48103 |\n",
              "| 2019-03-08 |  45858 |\n",
              "| 2019-03-05 |  45463 |\n",
              "| 2019-02-28 |  44670 |\n",
              "| 2019-03-16 |  43575 |\n",
              "| 2019-04-12 |  42631 |\n",
              "| 2019-03-07 |  42496 |\n",
              "| 2019-03-09 |  39559 |\n",
              "| 2019-03-04 |  39444 |\n",
              "| 2019-03-01 |  38447 |\n",
              "| 2019-04-14 |  33153 |\n",
              "| 2019-03-03 |  33128 |\n",
              "| 2019-04-13 |  31681 |\n",
              "| 2019-03-02 |  30702 |\n",
              "| 2019-04-15 |  16847 |\n",
              "\n"
            ],
            "text/latex": [
              "A data.frame: 49 × 2\n",
              "\\begin{tabular}{r|ll}\n",
              " date & tweets\\\\\n",
              " <date> & <dbl>\\\\\n",
              "\\hline\n",
              "\t 2019-03-13 & 189659\\\\\n",
              "\t 2019-03-29 & 178167\\\\\n",
              "\t 2019-03-12 & 172507\\\\\n",
              "\t 2019-03-27 & 155092\\\\\n",
              "\t 2019-03-14 & 148212\\\\\n",
              "\t 2019-03-21 & 142629\\\\\n",
              "\t 2019-03-23 & 131923\\\\\n",
              "\t 2019-03-20 & 131267\\\\\n",
              "\t 2019-04-02 & 122006\\\\\n",
              "\t 2019-04-03 & 119580\\\\\n",
              "\t 2019-03-28 & 114910\\\\\n",
              "\t 2019-04-01 & 104750\\\\\n",
              "\t 2019-03-22 & 100592\\\\\n",
              "\t 2019-04-04 &  97731\\\\\n",
              "\t 2019-03-24 &  95015\\\\\n",
              "\t 2019-03-30 &  94038\\\\\n",
              "\t 2019-04-10 &  90672\\\\\n",
              "\t 2019-04-11 &  88768\\\\\n",
              "\t 2019-03-25 &  88486\\\\\n",
              "\t 2019-04-05 &  87259\\\\\n",
              "\t 2019-03-26 &  86340\\\\\n",
              "\t 2019-03-11 &  77131\\\\\n",
              "\t 2019-04-09 &  76658\\\\\n",
              "\t 2019-04-08 &  73085\\\\\n",
              "\t 2019-03-19 &  72241\\\\\n",
              "\t 2019-03-18 &  69486\\\\\n",
              "\t 2019-02-26 &  67658\\\\\n",
              "\t 2019-03-31 &  64456\\\\\n",
              "\t 2019-03-15 &  60429\\\\\n",
              "\t 2019-04-07 &  57112\\\\\n",
              "\t 2019-04-06 &  56939\\\\\n",
              "\t 2019-02-27 &  51336\\\\\n",
              "\t 2019-03-10 &  51184\\\\\n",
              "\t 2019-03-17 &  48578\\\\\n",
              "\t 2019-03-06 &  48103\\\\\n",
              "\t 2019-03-08 &  45858\\\\\n",
              "\t 2019-03-05 &  45463\\\\\n",
              "\t 2019-02-28 &  44670\\\\\n",
              "\t 2019-03-16 &  43575\\\\\n",
              "\t 2019-04-12 &  42631\\\\\n",
              "\t 2019-03-07 &  42496\\\\\n",
              "\t 2019-03-09 &  39559\\\\\n",
              "\t 2019-03-04 &  39444\\\\\n",
              "\t 2019-03-01 &  38447\\\\\n",
              "\t 2019-04-14 &  33153\\\\\n",
              "\t 2019-03-03 &  33128\\\\\n",
              "\t 2019-04-13 &  31681\\\\\n",
              "\t 2019-03-02 &  30702\\\\\n",
              "\t 2019-04-15 &  16847\\\\\n",
              "\\end{tabular}\n"
            ],
            "text/plain": [
              "   date       tweets\n",
              "1  2019-03-13 189659\n",
              "2  2019-03-29 178167\n",
              "3  2019-03-12 172507\n",
              "4  2019-03-27 155092\n",
              "5  2019-03-14 148212\n",
              "6  2019-03-21 142629\n",
              "7  2019-03-23 131923\n",
              "8  2019-03-20 131267\n",
              "9  2019-04-02 122006\n",
              "10 2019-04-03 119580\n",
              "11 2019-03-28 114910\n",
              "12 2019-04-01 104750\n",
              "13 2019-03-22 100592\n",
              "14 2019-04-04  97731\n",
              "15 2019-03-24  95015\n",
              "16 2019-03-30  94038\n",
              "17 2019-04-10  90672\n",
              "18 2019-04-11  88768\n",
              "19 2019-03-25  88486\n",
              "20 2019-04-05  87259\n",
              "21 2019-03-26  86340\n",
              "22 2019-03-11  77131\n",
              "23 2019-04-09  76658\n",
              "24 2019-04-08  73085\n",
              "25 2019-03-19  72241\n",
              "26 2019-03-18  69486\n",
              "27 2019-02-26  67658\n",
              "28 2019-03-31  64456\n",
              "29 2019-03-15  60429\n",
              "30 2019-04-07  57112\n",
              "31 2019-04-06  56939\n",
              "32 2019-02-27  51336\n",
              "33 2019-03-10  51184\n",
              "34 2019-03-17  48578\n",
              "35 2019-03-06  48103\n",
              "36 2019-03-08  45858\n",
              "37 2019-03-05  45463\n",
              "38 2019-02-28  44670\n",
              "39 2019-03-16  43575\n",
              "40 2019-04-12  42631\n",
              "41 2019-03-07  42496\n",
              "42 2019-03-09  39559\n",
              "43 2019-03-04  39444\n",
              "44 2019-03-01  38447\n",
              "45 2019-04-14  33153\n",
              "46 2019-03-03  33128\n",
              "47 2019-04-13  31681\n",
              "48 2019-03-02  30702\n",
              "49 2019-04-15  16847"
            ]
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          "metadata": {}
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            ]
          },
          "metadata": {}
        }
      ],
      "execution_count": 28,
      "metadata": {
        "collapsed": false,
        "outputHidden": false,
        "inputHidden": false
      }
    },
    {
      "cell_type": "code",
      "source": [
        "query <- list(\n",
        "    maxDocs = -1, \n",
        "    field = \"created_at\",\n",
        "    fieldTransformer = \"fields.collect{f -> f.value.substring(11,13)}\"\n",
        "    # here, we are using scripting to get the 11-13 characters (the hour) from the datetime field\n",
        ")\n",
        "r <- GET(\"https://vm1973.kaj.pouta.csc.fi/octavo/brexit/queryStats\", \n",
        "         query = query)\n",
        "d <- content(r,as=\"text\") %>% as.tbl_json\n",
        "df <- d %>% enter_object(\"result\",\"grouped\") %>% \n",
        "    gather_array %>% \n",
        "    spread_values(\n",
        "        hour = jstring(\"fields\",\"created_at\"),\n",
        "        tweets = jnumber(\"stats\",\"docFreq\")\n",
        "    ) %>% \n",
        "    select(-document.id,-array.index)\n",
        "df\n",
        "ggplot(df,aes(x=hour,y=tweets)) + geom_bar(stat='identity')"
      ],
      "outputs": [
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "No encoding supplied: defaulting to UTF-8.\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "text/html": [
              "<table>\n",
              "<caption>A tbl_json: 24 × 2</caption>\n",
              "<thead>\n",
              "\t<tr><th scope=col>hour</th><th scope=col>tweets</th></tr>\n",
              "\t<tr><th scope=col>&lt;chr&gt;</th><th scope=col>&lt;dbl&gt;</th></tr>\n",
              "</thead>\n",
              "<tbody>\n",
              "\t<tr><td>19</td><td>251264</td></tr>\n",
              "\t<tr><td>20</td><td>236687</td></tr>\n",
              "\t<tr><td>21</td><td>234442</td></tr>\n",
              "\t<tr><td>17</td><td>230325</td></tr>\n",
              "\t<tr><td>18</td><td>226957</td></tr>\n",
              "\t<tr><td>22</td><td>220105</td></tr>\n",
              "\t<tr><td>09</td><td>212765</td></tr>\n",
              "\t<tr><td>08</td><td>211813</td></tr>\n",
              "\t<tr><td>16</td><td>210694</td></tr>\n",
              "\t<tr><td>10</td><td>209054</td></tr>\n",
              "\t<tr><td>12</td><td>208368</td></tr>\n",
              "\t<tr><td>11</td><td>203873</td></tr>\n",
              "\t<tr><td>15</td><td>200793</td></tr>\n",
              "\t<tr><td>13</td><td>199717</td></tr>\n",
              "\t<tr><td>14</td><td>195544</td></tr>\n",
              "\t<tr><td>07</td><td>183337</td></tr>\n",
              "\t<tr><td>23</td><td>141554</td></tr>\n",
              "\t<tr><td>06</td><td>115937</td></tr>\n",
              "\t<tr><td>00</td><td> 71665</td></tr>\n",
              "\t<tr><td>05</td><td> 55272</td></tr>\n",
              "\t<tr><td>01</td><td> 39082</td></tr>\n",
              "\t<tr><td>04</td><td> 29922</td></tr>\n",
              "\t<tr><td>02</td><td> 27818</td></tr>\n",
              "\t<tr><td>03</td><td> 24665</td></tr>\n",
              "</tbody>\n",
              "</table>\n"
            ],
            "text/markdown": [
              "\n",
              "A tbl_json: 24 × 2\n",
              "\n",
              "| hour &lt;chr&gt; | tweets &lt;dbl&gt; |\n",
              "|---|---|\n",
              "| 19 | 251264 |\n",
              "| 20 | 236687 |\n",
              "| 21 | 234442 |\n",
              "| 17 | 230325 |\n",
              "| 18 | 226957 |\n",
              "| 22 | 220105 |\n",
              "| 09 | 212765 |\n",
              "| 08 | 211813 |\n",
              "| 16 | 210694 |\n",
              "| 10 | 209054 |\n",
              "| 12 | 208368 |\n",
              "| 11 | 203873 |\n",
              "| 15 | 200793 |\n",
              "| 13 | 199717 |\n",
              "| 14 | 195544 |\n",
              "| 07 | 183337 |\n",
              "| 23 | 141554 |\n",
              "| 06 | 115937 |\n",
              "| 00 |  71665 |\n",
              "| 05 |  55272 |\n",
              "| 01 |  39082 |\n",
              "| 04 |  29922 |\n",
              "| 02 |  27818 |\n",
              "| 03 |  24665 |\n",
              "\n"
            ],
            "text/latex": [
              "A tbl_json: 24 × 2\n",
              "\\begin{tabular}{r|ll}\n",
              " hour & tweets\\\\\n",
              " <chr> & <dbl>\\\\\n",
              "\\hline\n",
              "\t 19 & 251264\\\\\n",
              "\t 20 & 236687\\\\\n",
              "\t 21 & 234442\\\\\n",
              "\t 17 & 230325\\\\\n",
              "\t 18 & 226957\\\\\n",
              "\t 22 & 220105\\\\\n",
              "\t 09 & 212765\\\\\n",
              "\t 08 & 211813\\\\\n",
              "\t 16 & 210694\\\\\n",
              "\t 10 & 209054\\\\\n",
              "\t 12 & 208368\\\\\n",
              "\t 11 & 203873\\\\\n",
              "\t 15 & 200793\\\\\n",
              "\t 13 & 199717\\\\\n",
              "\t 14 & 195544\\\\\n",
              "\t 07 & 183337\\\\\n",
              "\t 23 & 141554\\\\\n",
              "\t 06 & 115937\\\\\n",
              "\t 00 &  71665\\\\\n",
              "\t 05 &  55272\\\\\n",
              "\t 01 &  39082\\\\\n",
              "\t 04 &  29922\\\\\n",
              "\t 02 &  27818\\\\\n",
              "\t 03 &  24665\\\\\n",
              "\\end{tabular}\n"
            ],
            "text/plain": [
              "   hour tweets\n",
              "1  19   251264\n",
              "2  20   236687\n",
              "3  21   234442\n",
              "4  17   230325\n",
              "5  18   226957\n",
              "6  22   220105\n",
              "7  09   212765\n",
              "8  08   211813\n",
              "9  16   210694\n",
              "10 10   209054\n",
              "11 12   208368\n",
              "12 11   203873\n",
              "13 15   200793\n",
              "14 13   199717\n",
              "15 14   195544\n",
              "16 07   183337\n",
              "17 23   141554\n",
              "18 06   115937\n",
              "19 00    71665\n",
              "20 05    55272\n",
              "21 01    39082\n",
              "22 04    29922\n",
              "23 02    27818\n",
              "24 03    24665"
            ]
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "plot without title"
            ],
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