diff --git a/notebooks/01-Exploration.ipynb b/notebooks/01-Exploration.ipynb
index a882c66..d3e2efa 100644
--- a/notebooks/01-Exploration.ipynb
+++ b/notebooks/01-Exploration.ipynb
@@ -130,7 +130,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 5,
+   "execution_count": 86,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -562,74 +562,74 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 8,
+   "execution_count": 89,
    "metadata": {},
    "outputs": [],
    "source": [
-    "df.loc[df.other_names.notna(), 'other_names'] = df.loc[df.other_names.notna(), 'other_names'].apply(lambda x: ast.literal_eval(x))"
+    "df['other_names'] = df[df.other_names.notna()]['other_names'].apply(lambda x: ast.literal_eval(x))"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 9,
+   "execution_count": 91,
    "metadata": {},
    "outputs": [],
    "source": [
-    "df.loc[df.keywords.notna(), 'keywords'] = df.loc[df.keywords.notna(), 'keywords'].apply(lambda x: ast.literal_eval(x))"
+    "df['keywords'] = df[df.keywords.notna()]['keywords'].apply(lambda x: ast.literal_eval(x))"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 10,
+   "execution_count": 92,
    "metadata": {},
    "outputs": [],
    "source": [
-    "df.loc[df.urls.notna(), 'urls'] = df.loc[df.urls.notna(), 'urls'].apply(lambda x: ast.literal_eval(x))"
+    "df['urls'] = df[df.urls.notna()]['urls'].apply(lambda x: ast.literal_eval(x))"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 11,
+   "execution_count": 93,
    "metadata": {},
    "outputs": [],
    "source": [
-    "df.loc[df.other_emails.notna(), 'other_emails'] = df.loc[df.other_emails.notna(), 'other_emails'].apply(lambda x: ast.literal_eval(x))"
+    "df['other_emails'] = df[df.other_emails.notna()]['other_emails'].apply(lambda x: ast.literal_eval(x))"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 12,
+   "execution_count": 94,
    "metadata": {},
    "outputs": [],
    "source": [
-    "df.loc[df.education.notna(), 'education'] = df.loc[df.education.notna(), 'education'].apply(lambda x: ast.literal_eval(x))"
+    "df['education'] = df[df.education.notna()]['education'].apply(lambda x: ast.literal_eval(x))"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 13,
+   "execution_count": 95,
    "metadata": {},
    "outputs": [],
    "source": [
-    "df.loc[df.employment.notna(), 'employment'] = df.loc[df.employment.notna(), 'employment'].apply(lambda x: ast.literal_eval(x))"
+    "df['employment'] = df[df.employment.notna()]['employment'].apply(lambda x: ast.literal_eval(x))"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 14,
+   "execution_count": 96,
    "metadata": {},
    "outputs": [],
    "source": [
-    "df.loc[df.external_ids.notna(), 'external_ids'] = df.loc[df.external_ids.notna(), 'external_ids'].apply(lambda x: ast.literal_eval(x))"
+    "df['external_ids'] = df[df.external_ids.notna()]['external_ids'].apply(lambda x: ast.literal_eval(x))"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 15,
+   "execution_count": 97,
    "metadata": {},
    "outputs": [],
    "source": [
-    "df.loc[df.works_source.notna(), 'works_source'] = df.loc[df.works_source.notna(), 'works_source'].apply(lambda x: ast.literal_eval(x))"
+    "df['works_source'] = df[df.works_source.notna()]['works_source'].apply(lambda x: ast.literal_eval(x))"
    ]
   },
   {
@@ -9100,16 +9100,16 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 52,
+   "execution_count": 84,
    "metadata": {},
    "outputs": [],
    "source": [
-    "df.loc[df['external_ids'].notna(), 'n_ids'] = df[df['external_ids'].notna()].external_ids.str.len()"
+    "df['n_ids'] = df[df['external_ids'].notna()].external_ids.str.len()"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 53,
+   "execution_count": 85,
    "metadata": {},
    "outputs": [
     {
@@ -9126,7 +9126,7 @@
        "Name: n_ids, dtype: float64"
       ]
      },
-     "execution_count": 53,
+     "execution_count": 85,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -9489,362 +9489,6 @@
     "ids[ids.provider.notna()].head()"
    ]
   },
-  {
-   "cell_type": "code",
-   "execution_count": 67,
-   "metadata": {
-    "scrolled": true
-   },
-   "outputs": [
-    {
-     "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>orcid</th>\n",
-       "      <th>external_ids</th>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>provider</th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>Scopus Author ID</th>\n",
-       "      <td>1015175</td>\n",
-       "      <td>1015175</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>ResearcherID</th>\n",
-       "      <td>543545</td>\n",
-       "      <td>543545</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>Loop profile</th>\n",
-       "      <td>114316</td>\n",
-       "      <td>114316</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>Ciência ID</th>\n",
-       "      <td>33870</td>\n",
-       "      <td>33870</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>Researcher Name Resolver ID</th>\n",
-       "      <td>7810</td>\n",
-       "      <td>7810</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>中国科学家在线</th>\n",
-       "      <td>4794</td>\n",
-       "      <td>4794</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>ISNI</th>\n",
-       "      <td>3054</td>\n",
-       "      <td>3054</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>GND</th>\n",
-       "      <td>2825</td>\n",
-       "      <td>2825</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>Pitt ID</th>\n",
-       "      <td>2672</td>\n",
-       "      <td>2672</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>Technical University of Denmark CWIS</th>\n",
-       "      <td>2486</td>\n",
-       "      <td>2486</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>Sciprofile</th>\n",
-       "      <td>2441</td>\n",
-       "      <td>2441</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>Researcher ID</th>\n",
-       "      <td>1417</td>\n",
-       "      <td>1417</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>ID Dialnet</th>\n",
-       "      <td>1167</td>\n",
-       "      <td>1167</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>Digital author ID</th>\n",
-       "      <td>1079</td>\n",
-       "      <td>1079</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>Scopus Author ID:</th>\n",
-       "      <td>1076</td>\n",
-       "      <td>1076</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>AuthenticusID</th>\n",
-       "      <td>847</td>\n",
-       "      <td>847</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>HKU ResearcherPage</th>\n",
-       "      <td>740</td>\n",
-       "      <td>740</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>UOW Scholars</th>\n",
-       "      <td>644</td>\n",
-       "      <td>644</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>CTI Vitae</th>\n",
-       "      <td>581</td>\n",
-       "      <td>581</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>Scopus Author ID:</th>\n",
-       "      <td>549</td>\n",
-       "      <td>549</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>HKUST Profile</th>\n",
-       "      <td>521</td>\n",
-       "      <td>521</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>Scopus author ID</th>\n",
-       "      <td>501</td>\n",
-       "      <td>501</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>Chalmers ID</th>\n",
-       "      <td>430</td>\n",
-       "      <td>430</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>Scopus  ID</th>\n",
-       "      <td>232</td>\n",
-       "      <td>232</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>iAuthor</th>\n",
-       "      <td>212</td>\n",
-       "      <td>212</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>Google Scholar</th>\n",
-       "      <td>200</td>\n",
-       "      <td>200</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>AuthID</th>\n",
-       "      <td>175</td>\n",
-       "      <td>175</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>DAI</th>\n",
-       "      <td>153</td>\n",
-       "      <td>153</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>US EPA VIVO</th>\n",
-       "      <td>146</td>\n",
-       "      <td>146</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>Digital Author ID (DAI)</th>\n",
-       "      <td>135</td>\n",
-       "      <td>135</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>Scopus ID</th>\n",
-       "      <td>127</td>\n",
-       "      <td>127</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>Authenticus</th>\n",
-       "      <td>82</td>\n",
-       "      <td>82</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>Smithsonian Profiles</th>\n",
-       "      <td>61</td>\n",
-       "      <td>61</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>GitHub</th>\n",
-       "      <td>51</td>\n",
-       "      <td>51</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>eScientist</th>\n",
-       "      <td>49</td>\n",
-       "      <td>49</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>VIVO Cornell</th>\n",
-       "      <td>46</td>\n",
-       "      <td>46</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>ResearcherID:</th>\n",
-       "      <td>39</td>\n",
-       "      <td>39</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>Digital Author ID</th>\n",
-       "      <td>35</td>\n",
-       "      <td>35</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>Digital author ID (DAI)</th>\n",
-       "      <td>34</td>\n",
-       "      <td>34</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>ID Dialnet:</th>\n",
-       "      <td>7</td>\n",
-       "      <td>7</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>Dialnet ID</th>\n",
-       "      <td>6</td>\n",
-       "      <td>6</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>KAKEN</th>\n",
-       "      <td>5</td>\n",
-       "      <td>5</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>UNE Researcher ID</th>\n",
-       "      <td>4</td>\n",
-       "      <td>4</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>ResearcherID:</th>\n",
-       "      <td>3</td>\n",
-       "      <td>3</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>ORCID</th>\n",
-       "      <td>2</td>\n",
-       "      <td>2</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>Custom</th>\n",
-       "      <td>1</td>\n",
-       "      <td>1</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>ORCID iD</th>\n",
-       "      <td>1</td>\n",
-       "      <td>1</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>ScienceOpen</th>\n",
-       "      <td>1</td>\n",
-       "      <td>1</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>ResearcherId</th>\n",
-       "      <td>1</td>\n",
-       "      <td>1</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>Profile system identifier</th>\n",
-       "      <td>1</td>\n",
-       "      <td>1</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "                                        orcid  external_ids\n",
-       "provider                                                   \n",
-       "Scopus Author ID                      1015175       1015175\n",
-       "ResearcherID                           543545        543545\n",
-       "Loop profile                           114316        114316\n",
-       "Ciência ID                              33870         33870\n",
-       "Researcher Name Resolver ID              7810          7810\n",
-       "中国科学家在线                                  4794          4794\n",
-       "ISNI                                     3054          3054\n",
-       "GND                                      2825          2825\n",
-       "Pitt ID                                  2672          2672\n",
-       "Technical University of Denmark CWIS     2486          2486\n",
-       "Sciprofile                               2441          2441\n",
-       "Researcher ID                            1417          1417\n",
-       "ID Dialnet                               1167          1167\n",
-       "Digital author ID                        1079          1079\n",
-       "Scopus Author ID:                        1076          1076\n",
-       "AuthenticusID                             847           847\n",
-       "HKU ResearcherPage                        740           740\n",
-       "UOW Scholars                              644           644\n",
-       "CTI Vitae                                 581           581\n",
-       "Scopus Author ID:                         549           549\n",
-       "HKUST Profile                             521           521\n",
-       "Scopus author ID                          501           501\n",
-       "Chalmers ID                               430           430\n",
-       "Scopus  ID                                232           232\n",
-       "iAuthor                                   212           212\n",
-       "Google Scholar                            200           200\n",
-       "AuthID                                    175           175\n",
-       "DAI                                       153           153\n",
-       "US EPA VIVO                               146           146\n",
-       "Digital Author ID (DAI)                   135           135\n",
-       "Scopus ID                                 127           127\n",
-       "Authenticus                                82            82\n",
-       "Smithsonian Profiles                       61            61\n",
-       "GitHub                                     51            51\n",
-       "eScientist                                 49            49\n",
-       "VIVO Cornell                               46            46\n",
-       "ResearcherID:                              39            39\n",
-       "Digital Author ID                          35            35\n",
-       "Digital author ID (DAI)                    34            34\n",
-       "ID Dialnet:                                 7             7\n",
-       "Dialnet ID                                  6             6\n",
-       "KAKEN                                       5             5\n",
-       "UNE Researcher ID                           4             4\n",
-       "ResearcherID:                               3             3\n",
-       "ORCID                                       2             2\n",
-       "Custom                                      1             1\n",
-       "ORCID iD                                    1             1\n",
-       "ScienceOpen                                 1             1\n",
-       "ResearcherId                                1             1\n",
-       "Profile system identifier                   1             1"
-      ]
-     },
-     "execution_count": 67,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "ids.groupby('provider').count().sort_values('orcid', ascending=False)"
-   ]
-  },
   {
    "cell_type": "code",
    "execution_count": 69,
@@ -10868,32 +10512,1225 @@
    ]
   },
   {
-   "cell_type": "code",
-   "execution_count": null,
+   "cell_type": "markdown",
    "metadata": {},
-   "outputs": [],
-   "source": []
+   "source": [
+    "## Keywords"
+   ]
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 75,
    "metadata": {},
    "outputs": [],
-   "source": []
+   "source": [
+    "df['n_keywords'] = df.keywords.str.len()"
+   ]
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 80,
    "metadata": {},
-   "outputs": [],
-   "source": []
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
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+       "\n",
+       "    .dataframe tbody tr th {\n",
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+       "\n",
+       "    .dataframe thead th {\n",
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+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>orcid</th>\n",
+       "      <th>n_keywords</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>1681310</th>\n",
+       "      <td>0000-0002-0673-0341</td>\n",
+       "      <td>154.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>7717699</th>\n",
+       "      <td>0000-0002-7060-4112</td>\n",
+       "      <td>141.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4597674</th>\n",
+       "      <td>0000-0002-6075-3501</td>\n",
+       "      <td>140.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2066580</th>\n",
+       "      <td>0000-0002-4071-0301</td>\n",
+       "      <td>118.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3531030</th>\n",
+       "      <td>0000-0002-9638-8091</td>\n",
+       "      <td>115.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>...</th>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>10747035</th>\n",
+       "      <td>0000-0003-4998-1551</td>\n",
+       "      <td>NaN</td>\n",
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+       "    <tr>\n",
+       "      <th>10747036</th>\n",
+       "      <td>0000-0003-4998-4111</td>\n",
+       "      <td>NaN</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>10747037</th>\n",
+       "      <td>0000-0003-4998-6045</td>\n",
+       "      <td>NaN</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>10747038</th>\n",
+       "      <td>0000-0003-4998-8868</td>\n",
+       "      <td>NaN</td>\n",
+       "    </tr>\n",
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+       "</table>\n",
+       "<p>10744621 rows × 2 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "                        orcid  n_keywords\n",
+       "1681310   0000-0002-0673-0341       154.0\n",
+       "7717699   0000-0002-7060-4112       141.0\n",
+       "4597674   0000-0002-6075-3501       140.0\n",
+       "2066580   0000-0002-4071-0301       118.0\n",
+       "3531030   0000-0002-9638-8091       115.0\n",
+       "...                       ...         ...\n",
+       "10747035  0000-0003-4998-1551         NaN\n",
+       "10747036  0000-0003-4998-4111         NaN\n",
+       "10747037  0000-0003-4998-6045         NaN\n",
+       "10747038  0000-0003-4998-8868         NaN\n",
+       "10747039  0000-0003-4999-7916         NaN\n",
+       "\n",
+       "[10744621 rows x 2 columns]"
+      ]
+     },
+     "execution_count": 80,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df.sort_values('n_keywords', ascending=False)[['orcid', 'n_keywords']]"
+   ]
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 83,
    "metadata": {},
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+       "                            \n",
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+       "\n",
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+       "var notebookContainer = gd.closest('#notebook-container');\n",
+       "if (notebookContainer) {{\n",
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+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "data = [\n",
+    "    go.Bar(\n",
+    "        x=df.sort_values('n_keywords', ascending=False)['orcid'][:100],\n",
+    "        y=df.sort_values('n_keywords', ascending=False)['n_keywords'][:100]\n",
+    "    )\n",
+    "]\n",
+    "\n",
+    "layout = go.Layout(\n",
+    "    title='Keywords provided',\n",
+    "    xaxis=dict(tickangle=45, tickfont=dict(size=12))\n",
+    ")\n",
+    "fig = go.Figure(data=data, layout=layout)\n",
+    "plotly.offline.iplot(fig)"
+   ]
   },
   {
    "cell_type": "markdown",
@@ -10904,7 +11741,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 62,
+   "execution_count": 81,
    "metadata": {},
    "outputs": [
     {
@@ -10926,7 +11763,8 @@
           "n_works",
           "n_emails",
           "n_urls",
-          "n_ids"
+          "n_ids",
+          "n_keywords"
          ],
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@@ -10936,11 +11774,13 @@
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+          "n_ids",
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          "yaxis": "y",
          "z": [
           [
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            null,
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@@ -10956,7 +11796,8 @@
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@@ -10974,7 +11816,8 @@
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@@ -10992,7 +11836,8 @@
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@@ -11001,6 +11846,17 @@
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@@ -11881,9 +12737,9 @@
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