revolunet/community.ipynb

## community.ipynb
{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 416,
   "id": "f04536e5-0a52-49e2-898b-91a044fa561c",
   "metadata": {},
   "outputs": [],
   "source": [
    "import requests\n",
    "import pandas\n",
    "import urllib.parse\n",
    "from datetime import datetime\n",
    "from matplotlib import pyplot\n",
    "from IPython.display import display_markdown\n",
    "\n",
    "pandas.set_option(\"display.max_colwidth\", None)\n",
    "\n",
    "phases = [\n",
    "    \"investigation\",\n",
    "    \"construction\",\n",
    "    \"acceleration\",\n",
    "    \"transfer\",\n",
    "    \"success\",\n",
    "    \"alumni\",\n",
    "]\n",
    "colors = [\"#ffd17a\", \"#ff914d\", \"#fa6bbc\", \"#0bffb3\", \"#1fbcff\", \"#aaa\"]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 436,
   "id": "56c7f30e-0b04-4a17-8bc3-43491db4051b",
   "metadata": {},
   "outputs": [],
   "source": [
    "startups_details = [\n",
    "    data\n",
    "    for (key, data) in requests.get(\n",
    "        \"https://beta.gouv.fr/api/v2.6/startups_details.json\"\n",
    "    )\n",
    "    .json()\n",
    "    .items()\n",
    "]\n",
    "startups = [\n",
    "    {\"id\": item.get(\"id\"), **item.get(\"attributes\"), **item.get(\"relationships\")}\n",
    "    for item in requests.get(\n",
    "        \"https://beta.gouv.fr/api/v2.6/startups.json\"\n",
    "    )\n",
    "    .json()\n",
    "    .get(\"data\")\n",
    "]\n",
    "authors = requests.get(\"https://beta.gouv.fr/api/v2.6/authors.json\").json()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 418,
   "id": "bb012895",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Loaded 514 startups_details\n",
      "Loaded 514 startups\n",
      "Loaded 2652 authors\n"
     ]
    }
   ],
   "source": [
    "print(f\"Loaded {len(startups_details)} startups_details\")\n",
    "print(f\"Loaded {len(startups)} startups\")\n",
    "print(f\"Loaded {len(authors)} authors\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 439,
   "id": "06cc6f21-4302-4e5f-9353-386f01a66d3e",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Cleanup some data\n",
    "startups_df = pandas.DataFrame.from_dict(startups)\n",
    "\n",
    "\n",
    "def phase_date_getter(phase):\n",
    "    return datetime.fromisoformat(phase.get(\"start\"))\n",
    "\n",
    "\n",
    "#startups_df[\"stats_url\"] = startups_df[\"stats_url\"].fillna(\"\")\n",
    "\n",
    "startups_df[\"markdown\"] = startups_df[\"content_url_encoded_markdown\"].map(\n",
    "    urllib.parse.unquote\n",
    ")\n",
    "startups_df = startups_df.drop(columns=[\"content_url_encoded_markdown\"])\n",
    "\n",
    "startups_df[\"phase\"] = startups_df[\"phases\"].apply(\n",
    "    lambda x: sorted(x, key=phase_date_getter, reverse=True)[0].get(\"name\")\n",
    ")\n",
    "\n",
    "startups_df[\"incubator\"] = startups_df[\"incubator\"].apply(\n",
    "    lambda x: x.get(\"data\", {}).get(\"id\")\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 420,
   "id": "21d6284c",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/markdown": [
       "## Aperçu des données"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "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>id</th>\n",
       "      <th>name</th>\n",
       "      <th>incubator</th>\n",
       "      <th>phase</th>\n",
       "      <th>contact</th>\n",
       "      <th>stats_url</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1-jeune-1-arbre</td>\n",
       "      <td>1 Jeune 1 Arbre</td>\n",
       "      <td>agriculture</td>\n",
       "      <td>investigation</td>\n",
       "      <td>melanie.briand@beta.gouv.fr</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1000.jours</td>\n",
       "      <td>1000 premiers jours - l'app</td>\n",
       "      <td>sgmas</td>\n",
       "      <td>transfer</td>\n",
       "      <td>love.andrieu@social.gouv.fr</td>\n",
       "      <td>https://1000jours.fabrique.social.gouv.fr/stats</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>1000.premiers.jours.blues</td>\n",
       "      <td>1000 premiers jours Blues</td>\n",
       "      <td>sgmas</td>\n",
       "      <td>acceleration</td>\n",
       "      <td>contact-nos1000jours@fabrique.social.gouv.fr</td>\n",
       "      <td>https://1000jours-blues.fabrique.social.gouv.fr/stats</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>a-dock</td>\n",
       "      <td>A Dock</td>\n",
       "      <td>mtes</td>\n",
       "      <td>alumni</td>\n",
       "      <td>contact@adock.beta.gouv.fr</td>\n",
       "      <td>https://adock.beta.gouv.fr/stats</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>a-just</td>\n",
       "      <td>A-JUST</td>\n",
       "      <td>justice</td>\n",
       "      <td>acceleration</td>\n",
       "      <td>contact@a-just.fr</td>\n",
       "      <td>https://a-just.beta.gouv.fr/stats</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>acces.majeur.protege</td>\n",
       "      <td>Accès Majeur Protégé</td>\n",
       "      <td>justice</td>\n",
       "      <td>alumni</td>\n",
       "      <td>anne.devoret@beta.gouv.fr</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>acceslibre</td>\n",
       "      <td>Acceslibre</td>\n",
       "      <td>mtes</td>\n",
       "      <td>acceleration</td>\n",
       "      <td>acceslibre@beta.gouv.fr</td>\n",
       "      <td>https://acceslibre.beta.gouv.fr/stats</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>accesscite</td>\n",
       "      <td>Access'cité</td>\n",
       "      <td>mtes</td>\n",
       "      <td>construction</td>\n",
       "      <td>melanie.briand@beta.gouv.fr</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>accueil-telephonique-uts</td>\n",
       "      <td>Accueil UTS</td>\n",
       "      <td>anct</td>\n",
       "      <td>alumni</td>\n",
       "      <td>contactincubateur@anct.gouv.fr</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>aeris</td>\n",
       "      <td>Aeris</td>\n",
       "      <td>mtes</td>\n",
       "      <td>alumni</td>\n",
       "      <td>jacob.carbonel@beta.gouv.fr</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                          id                         name    incubator  \\\n",
       "0            1-jeune-1-arbre              1 Jeune 1 Arbre  agriculture   \n",
       "1                 1000.jours  1000 premiers jours - l'app        sgmas   \n",
       "2  1000.premiers.jours.blues    1000 premiers jours Blues        sgmas   \n",
       "3                     a-dock                       A Dock         mtes   \n",
       "4                     a-just                       A-JUST      justice   \n",
       "5       acces.majeur.protege         Accès Majeur Protégé      justice   \n",
       "6                 acceslibre                   Acceslibre         mtes   \n",
       "7                 accesscite                  Access'cité         mtes   \n",
       "8   accueil-telephonique-uts                  Accueil UTS         anct   \n",
       "9                      aeris                        Aeris         mtes   \n",
       "\n",
       "           phase                                       contact  \\\n",
       "0  investigation                   melanie.briand@beta.gouv.fr   \n",
       "1       transfer                   love.andrieu@social.gouv.fr   \n",
       "2   acceleration  contact-nos1000jours@fabrique.social.gouv.fr   \n",
       "3         alumni                    contact@adock.beta.gouv.fr   \n",
       "4   acceleration                             contact@a-just.fr   \n",
       "5         alumni                     anne.devoret@beta.gouv.fr   \n",
       "6   acceleration                       acceslibre@beta.gouv.fr   \n",
       "7   construction                   melanie.briand@beta.gouv.fr   \n",
       "8         alumni                contactincubateur@anct.gouv.fr   \n",
       "9         alumni                   jacob.carbonel@beta.gouv.fr   \n",
       "\n",
       "                                               stats_url  \n",
       "0                                                    NaN  \n",
       "1        https://1000jours.fabrique.social.gouv.fr/stats  \n",
       "2  https://1000jours-blues.fabrique.social.gouv.fr/stats  \n",
       "3                       https://adock.beta.gouv.fr/stats  \n",
       "4                      https://a-just.beta.gouv.fr/stats  \n",
       "5                                                    NaN  \n",
       "6                  https://acceslibre.beta.gouv.fr/stats  \n",
       "7                                                    NaN  \n",
       "8                                                    NaN  \n",
       "9                                                    NaN  "
      ]
     },
     "execution_count": 420,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "display_markdown(\n",
    "    \"## Aperçu des données\",\n",
    "    raw=True,\n",
    ")\n",
    "\n",
    "startups_df[[\"id\", \"name\", \"incubator\", \"phase\", \"contact\", \"stats_url\"]].head(10)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 429,
   "id": "bf0045a1",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 514 entries, 0 to 513\n",
      "Data columns (total 19 columns):\n",
      " #   Column                Non-Null Count  Dtype \n",
      "---  ------                --------------  ----- \n",
      " 0   id                    514 non-null    object\n",
      " 1   name                  514 non-null    object\n",
      " 2   pitch                 514 non-null    object\n",
      " 3   contact               514 non-null    object\n",
      " 4   events                514 non-null    object\n",
      " 5   phases                514 non-null    object\n",
      " 6   sponsors              514 non-null    object\n",
      " 7   thematiques           514 non-null    object\n",
      " 8   incubator             514 non-null    object\n",
      " 9   stats_url             141 non-null    object\n",
      " 10  link                  225 non-null    object\n",
      " 11  repository            212 non-null    object\n",
      " 12  dashlord_url          83 non-null     object\n",
      " 13  accessibility_status  241 non-null    object\n",
      " 14  analyse_risques       23 non-null     object\n",
      " 15  budget_url            30 non-null     object\n",
      " 16  analyse_risques_url   11 non-null     object\n",
      " 17  markdown              514 non-null    object\n",
      " 18  phase                 514 non-null    object\n",
      "dtypes: object(19)\n",
      "memory usage: 76.4+ KB\n"
     ]
    }
   ],
   "source": [
    "startups_df.info();"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 421,
   "id": "ca18c8af",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/markdown": [
       "## Startups par incubateur (hors alumni)"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "display_markdown(\n",
    "    \"## Startups par incubateur (hors alumni)\",\n",
    "    raw=True,\n",
    ")\n",
    "startups_df.query(\"phase != 'alumni'\").groupby(\n",
    "    \"incubator\", dropna=False\n",
    ").size().sort_values().plot(\n",
    "    kind=\"barh\",\n",
    ");\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 422,
   "id": "c14cbf94",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/markdown": [
       "## Startups par incubateur et par phase (hors alumni)"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "display_markdown(\n",
    "    \"## Startups par incubateur et par phase (hors alumni)\",\n",
    "    raw=True,\n",
    ")\n",
    "startups_df.query(\"phase != 'alumni'\").groupby(\n",
    "    [\"incubator\", \"phase\"], dropna=False\n",
    ").size().sort_values(ascending=False).unstack(fill_value=0).plot(\n",
    "    kind=\"barh\",\n",
    "    stacked=True,\n",
    ")\n",
    "\n",
    "# fix legend\n",
    "handles, labels = pyplot.gca().get_legend_handles_labels()\n",
    "sorted_order = [phases.index(x) for (i, x) in enumerate(labels)]\n",
    "for i, handle in enumerate(handles):\n",
    "    for bar in handle:\n",
    "        color = colors[sorted_order[i]]\n",
    "        bar.set_facecolor(color)\n",
    "sorted_handles = [x for _, x in sorted(zip(sorted_order, handles))]\n",
    "pyplot.legend(\n",
    "    sorted_handles,\n",
    "    sorted(labels, key=lambda x: phases.index(x)),\n",
    ");"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 423,
   "id": "39646141",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/markdown": [
       "## Startups par thématique et par phase (hors alumni)"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "display_markdown(\n",
    "    \"## Startups par thématique et par phase (hors alumni)\",\n",
    "    raw=True,\n",
    ")\n",
    "startups_df_exploded = startups_df.query(\"phase != 'alumni'\").explode(\"thematiques\")\n",
    "startups_df_exploded.groupby([\"thematiques\", \"phase\"]).size().unstack(\n",
    "    fill_value=0\n",
    ").plot(kind=\"barh\", stacked=True)\n",
    "\n",
    "# fix legend\n",
    "handles, labels = pyplot.gca().get_legend_handles_labels()\n",
    "sorted_order = [phases.index(x) for (i, x) in enumerate(labels)]\n",
    "for i, handle in enumerate(handles):\n",
    "    for bar in handle:\n",
    "        color = colors[sorted_order[i]]\n",
    "        bar.set_facecolor(color)\n",
    "sorted_handles = [x for _, x in sorted(zip(sorted_order, handles))]\n",
    "pyplot.legend(\n",
    "    sorted_handles,\n",
    "    sorted(labels, key=lambda x: phases.index(x)),\n",
    ")\n",
    "\n",
    "pyplot.title(\"Startups par thématique et par phase (hors alumni)\");"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 424,
   "id": "eda1a844",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/markdown": [
       "## SE en accélération sans stats_url"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "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",
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       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>id</th>\n",
       "      <th>incubator</th>\n",
       "      <th>phase</th>\n",
       "      <th>stats_url</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>agents.en.intervention</td>\n",
       "      <td>anct</td>\n",
       "      <td>acceleration</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>92</th>\n",
       "      <td>audioconf</td>\n",
       "      <td>dinum_produits_interministeriels</td>\n",
       "      <td>acceleration</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>103</th>\n",
       "      <td>bases.adresses.locales</td>\n",
       "      <td>anct</td>\n",
       "      <td>acceleration</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>115</th>\n",
       "      <td>bpco</td>\n",
       "      <td>sgmas</td>\n",
       "      <td>acceleration</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>161</th>\n",
       "      <td>data.etat</td>\n",
       "      <td>dinum</td>\n",
       "      <td>acceleration</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>169</th>\n",
       "      <td>delta.v</td>\n",
       "      <td>dinum</td>\n",
       "      <td>acceleration</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>220</th>\n",
       "      <td>expresso</td>\n",
       "      <td>latelier.numerique.du.ministere.de.leurope.et.des.affaires.etrangeres</td>\n",
       "      <td>acceleration</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>231</th>\n",
       "      <td>france-numerique-ensemble</td>\n",
       "      <td>anct</td>\n",
       "      <td>acceleration</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>315</th>\n",
       "      <td>mes-aides-france-travail</td>\n",
       "      <td>pole-emploi</td>\n",
       "      <td>acceleration</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>347</th>\n",
       "      <td>nata</td>\n",
       "      <td>sgmas</td>\n",
       "      <td>acceleration</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>377</th>\n",
       "      <td>pcrs</td>\n",
       "      <td>anct</td>\n",
       "      <td>acceleration</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>428</th>\n",
       "      <td>refugies.info</td>\n",
       "      <td>dinum</td>\n",
       "      <td>acceleration</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>454</th>\n",
       "      <td>sndv_maritime</td>\n",
       "      <td>dinum</td>\n",
       "      <td>acceleration</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>470</th>\n",
       "      <td>tchap</td>\n",
       "      <td>dinum_produits_interministeriels</td>\n",
       "      <td>acceleration</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                            id  \\\n",
       "10      agents.en.intervention   \n",
       "92                   audioconf   \n",
       "103     bases.adresses.locales   \n",
       "115                       bpco   \n",
       "161                  data.etat   \n",
       "169                    delta.v   \n",
       "220                   expresso   \n",
       "231  france-numerique-ensemble   \n",
       "315   mes-aides-france-travail   \n",
       "347                       nata   \n",
       "377                       pcrs   \n",
       "428              refugies.info   \n",
       "454              sndv_maritime   \n",
       "470                      tchap   \n",
       "\n",
       "                                                                 incubator  \\\n",
       "10                                                                    anct   \n",
       "92                                        dinum_produits_interministeriels   \n",
       "103                                                                   anct   \n",
       "115                                                                  sgmas   \n",
       "161                                                                  dinum   \n",
       "169                                                                  dinum   \n",
       "220  latelier.numerique.du.ministere.de.leurope.et.des.affaires.etrangeres   \n",
       "231                                                                   anct   \n",
       "315                                                            pole-emploi   \n",
       "347                                                                  sgmas   \n",
       "377                                                                   anct   \n",
       "428                                                                  dinum   \n",
       "454                                                                  dinum   \n",
       "470                                       dinum_produits_interministeriels   \n",
       "\n",
       "            phase stats_url  \n",
       "10   acceleration       NaN  \n",
       "92   acceleration       NaN  \n",
       "103  acceleration       NaN  \n",
       "115  acceleration       NaN  \n",
       "161  acceleration       NaN  \n",
       "169  acceleration       NaN  \n",
       "220  acceleration       NaN  \n",
       "231  acceleration       NaN  \n",
       "315  acceleration       NaN  \n",
       "347  acceleration       NaN  \n",
       "377  acceleration       NaN  \n",
       "428  acceleration       NaN  \n",
       "454  acceleration       NaN  \n",
       "470  acceleration       NaN  "
      ]
     },
     "execution_count": 424,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "display_markdown(\"## SE en accélération sans stats_url\",\n",
    "    raw=True,\n",
    ")\n",
    "startups_df.query(\"phase == 'acceleration' and stats_url!=stats_url\")[\n",
    "    [\"id\", \"incubator\", \"phase\", \"stats_url\"]\n",
    "]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 425,
   "id": "f0f8b941",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/markdown": [
       "## SE en accélération sans dashlord_url"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>id</th>\n",
       "      <th>incubator</th>\n",
       "      <th>phase</th>\n",
       "      <th>dashlord_url</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>agents.en.intervention</td>\n",
       "      <td>anct</td>\n",
       "      <td>acceleration</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>73</th>\n",
       "      <td>api-engagement</td>\n",
       "      <td>engagement_civique</td>\n",
       "      <td>acceleration</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>81</th>\n",
       "      <td>aplus</td>\n",
       "      <td>anct</td>\n",
       "      <td>acceleration</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>92</th>\n",
       "      <td>audioconf</td>\n",
       "      <td>dinum_produits_interministeriels</td>\n",
       "      <td>acceleration</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>103</th>\n",
       "      <td>bases.adresses.locales</td>\n",
       "      <td>anct</td>\n",
       "      <td>acceleration</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>115</th>\n",
       "      <td>bpco</td>\n",
       "      <td>sgmas</td>\n",
       "      <td>acceleration</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>133</th>\n",
       "      <td>chauffage-urbain</td>\n",
       "      <td>mtes</td>\n",
       "      <td>acceleration</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>142</th>\n",
       "      <td>collectif_objets</td>\n",
       "      <td>culture</td>\n",
       "      <td>acceleration</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>161</th>\n",
       "      <td>data.etat</td>\n",
       "      <td>dinum</td>\n",
       "      <td>acceleration</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>211</th>\n",
       "      <td>estime.formation</td>\n",
       "      <td>pole-emploi</td>\n",
       "      <td>acceleration</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>220</th>\n",
       "      <td>expresso</td>\n",
       "      <td>latelier.numerique.du.ministere.de.leurope.et.des.affaires.etrangeres</td>\n",
       "      <td>acceleration</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>226</th>\n",
       "      <td>filigrane</td>\n",
       "      <td>mtes</td>\n",
       "      <td>acceleration</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>231</th>\n",
       "      <td>france-numerique-ensemble</td>\n",
       "      <td>anct</td>\n",
       "      <td>acceleration</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>256</th>\n",
       "      <td>inclusion.connect</td>\n",
       "      <td>gip-inclusion</td>\n",
       "      <td>acceleration</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>276</th>\n",
       "      <td>l-application-du-cej</td>\n",
       "      <td>sgmas</td>\n",
       "      <td>acceleration</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>277</th>\n",
       "      <td>l-immersion-facile</td>\n",
       "      <td>gip-inclusion</td>\n",
       "      <td>acceleration</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>283</th>\n",
       "      <td>la.communaute.de.linclusion</td>\n",
       "      <td>gip-inclusion</td>\n",
       "      <td>acceleration</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>298</th>\n",
       "      <td>ma-cantine-egalim</td>\n",
       "      <td>agriculture</td>\n",
       "      <td>acceleration</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>315</th>\n",
       "      <td>mes-aides-france-travail</td>\n",
       "      <td>pole-emploi</td>\n",
       "      <td>acceleration</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>334</th>\n",
       "      <td>mon-suivi-justice</td>\n",
       "      <td>justice</td>\n",
       "      <td>acceleration</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>337</th>\n",
       "      <td>moncomptepro</td>\n",
       "      <td>dinum_produits_interministeriels</td>\n",
       "      <td>acceleration</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>347</th>\n",
       "      <td>nata</td>\n",
       "      <td>sgmas</td>\n",
       "      <td>acceleration</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>365</th>\n",
       "      <td>ozensemble</td>\n",
       "      <td>sgmas</td>\n",
       "      <td>acceleration</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>377</th>\n",
       "      <td>pcrs</td>\n",
       "      <td>anct</td>\n",
       "      <td>acceleration</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>384</th>\n",
       "      <td>pilotage.de.linclusion</td>\n",
       "      <td>gip-inclusion</td>\n",
       "      <td>acceleration</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>398</th>\n",
       "      <td>pop</td>\n",
       "      <td>culture</td>\n",
       "      <td>acceleration</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>422</th>\n",
       "      <td>rdv.insertion</td>\n",
       "      <td>gip-inclusion</td>\n",
       "      <td>acceleration</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>428</th>\n",
       "      <td>refugies.info</td>\n",
       "      <td>dinum</td>\n",
       "      <td>acceleration</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>438</th>\n",
       "      <td>romin</td>\n",
       "      <td>justice</td>\n",
       "      <td>acceleration</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>449</th>\n",
       "      <td>signaux-faibles</td>\n",
       "      <td>dinum</td>\n",
       "      <td>acceleration</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>470</th>\n",
       "      <td>tchap</td>\n",
       "      <td>dinum_produits_interministeriels</td>\n",
       "      <td>acceleration</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>494</th>\n",
       "      <td>urbanvitaliz</td>\n",
       "      <td>accelerema</td>\n",
       "      <td>acceleration</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                              id  \\\n",
       "10        agents.en.intervention   \n",
       "73                api-engagement   \n",
       "81                         aplus   \n",
       "92                     audioconf   \n",
       "103       bases.adresses.locales   \n",
       "115                         bpco   \n",
       "133             chauffage-urbain   \n",
       "142             collectif_objets   \n",
       "161                    data.etat   \n",
       "211             estime.formation   \n",
       "220                     expresso   \n",
       "226                    filigrane   \n",
       "231    france-numerique-ensemble   \n",
       "256            inclusion.connect   \n",
       "276         l-application-du-cej   \n",
       "277           l-immersion-facile   \n",
       "283  la.communaute.de.linclusion   \n",
       "298            ma-cantine-egalim   \n",
       "315     mes-aides-france-travail   \n",
       "334            mon-suivi-justice   \n",
       "337                 moncomptepro   \n",
       "347                         nata   \n",
       "365                   ozensemble   \n",
       "377                         pcrs   \n",
       "384       pilotage.de.linclusion   \n",
       "398                          pop   \n",
       "422                rdv.insertion   \n",
       "428                refugies.info   \n",
       "438                        romin   \n",
       "449              signaux-faibles   \n",
       "470                        tchap   \n",
       "494                 urbanvitaliz   \n",
       "\n",
       "                                                                 incubator  \\\n",
       "10                                                                    anct   \n",
       "73                                                      engagement_civique   \n",
       "81                                                                    anct   \n",
       "92                                        dinum_produits_interministeriels   \n",
       "103                                                                   anct   \n",
       "115                                                                  sgmas   \n",
       "133                                                                   mtes   \n",
       "142                                                                culture   \n",
       "161                                                                  dinum   \n",
       "211                                                            pole-emploi   \n",
       "220  latelier.numerique.du.ministere.de.leurope.et.des.affaires.etrangeres   \n",
       "226                                                                   mtes   \n",
       "231                                                                   anct   \n",
       "256                                                          gip-inclusion   \n",
       "276                                                                  sgmas   \n",
       "277                                                          gip-inclusion   \n",
       "283                                                          gip-inclusion   \n",
       "298                                                            agriculture   \n",
       "315                                                            pole-emploi   \n",
       "334                                                                justice   \n",
       "337                                       dinum_produits_interministeriels   \n",
       "347                                                                  sgmas   \n",
       "365                                                                  sgmas   \n",
       "377                                                                   anct   \n",
       "384                                                          gip-inclusion   \n",
       "398                                                                culture   \n",
       "422                                                          gip-inclusion   \n",
       "428                                                                  dinum   \n",
       "438                                                                justice   \n",
       "449                                                                  dinum   \n",
       "470                                       dinum_produits_interministeriels   \n",
       "494                                                             accelerema   \n",
       "\n",
       "            phase dashlord_url  \n",
       "10   acceleration          NaN  \n",
       "73   acceleration          NaN  \n",
       "81   acceleration          NaN  \n",
       "92   acceleration          NaN  \n",
       "103  acceleration          NaN  \n",
       "115  acceleration          NaN  \n",
       "133  acceleration          NaN  \n",
       "142  acceleration          NaN  \n",
       "161  acceleration          NaN  \n",
       "211  acceleration          NaN  \n",
       "220  acceleration          NaN  \n",
       "226  acceleration          NaN  \n",
       "231  acceleration          NaN  \n",
       "256  acceleration          NaN  \n",
       "276  acceleration          NaN  \n",
       "277  acceleration          NaN  \n",
       "283  acceleration          NaN  \n",
       "298  acceleration          NaN  \n",
       "315  acceleration          NaN  \n",
       "334  acceleration          NaN  \n",
       "337  acceleration          NaN  \n",
       "347  acceleration          NaN  \n",
       "365  acceleration          NaN  \n",
       "377  acceleration          NaN  \n",
       "384  acceleration          NaN  \n",
       "398  acceleration          NaN  \n",
       "422  acceleration          NaN  \n",
       "428  acceleration          NaN  \n",
       "438  acceleration          NaN  \n",
       "449  acceleration          NaN  \n",
       "470  acceleration          NaN  \n",
       "494  acceleration          NaN  "
      ]
     },
     "execution_count": 425,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "display_markdown(\n",
    "    \"## SE en accélération sans dashlord_url\",\n",
    "    raw=True,\n",
    ")\n",
    "startups_df.query(\"phase == 'acceleration' and dashlord_url!=dashlord_url\")[\n",
    "    [\"id\", \"incubator\", \"phase\", \"dashlord_url\"]\n",
    "]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 450,
   "id": "01d103c3",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/markdown": [
       "## SE sans stats_url"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
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       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1-jeune-1-arbre</td>\n",
       "      <td>agriculture</td>\n",
       "      <td>investigation</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>accesscite</td>\n",
       "      <td>mtes</td>\n",
       "      <td>construction</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>agents.en.intervention</td>\n",
       "      <td>anct</td>\n",
       "      <td>acceleration</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>agora</td>\n",
       "      <td>dinum</td>\n",
       "      <td>construction</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>aigle</td>\n",
       "      <td>mtes</td>\n",
       "      <td>construction</td>\n",
       "      <td></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>499</th>\n",
       "      <td>valorisation.des.stages.pro</td>\n",
       "      <td>dinum</td>\n",
       "      <td>construction</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>500</th>\n",
       "      <td>vapp</td>\n",
       "      <td>mtes</td>\n",
       "      <td>investigation</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>502</th>\n",
       "      <td>vert.impact</td>\n",
       "      <td>mtes</td>\n",
       "      <td>investigation</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>503</th>\n",
       "      <td>vie.chere</td>\n",
       "      <td>lab-mi</td>\n",
       "      <td>investigation</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>514</th>\n",
       "      <td>zones.irriguees.et.irrigables</td>\n",
       "      <td>fab-geocommuns</td>\n",
       "      <td>investigation</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>152 rows × 4 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                                id       incubator          phase stats_url\n",
       "0                  1-jeune-1-arbre     agriculture  investigation          \n",
       "7                       accesscite            mtes   construction          \n",
       "10          agents.en.intervention            anct   acceleration          \n",
       "11                           agora           dinum   construction          \n",
       "16                           aigle            mtes   construction          \n",
       "..                             ...             ...            ...       ...\n",
       "499    valorisation.des.stages.pro           dinum   construction          \n",
       "500                           vapp            mtes  investigation          \n",
       "502                    vert.impact            mtes  investigation          \n",
       "503                      vie.chere          lab-mi  investigation          \n",
       "514  zones.irriguees.et.irrigables  fab-geocommuns  investigation          \n",
       "\n",
       "[152 rows x 4 columns]"
      ]
     },
     "execution_count": 450,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "display_markdown(\n",
    "    \"## SE sans stats_url\",\n",
    "    raw=True,\n",
    ")\n",
    "startups_df.query(\"phase != 'alumni' and stats_url == ''\")[\n",
    "    [\"id\", \"incubator\", \"phase\", \"stats_url\"]\n",
    "]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "f28cb319",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
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