From 55377051926f35fe464392488e84f7cb2ef1de32 Mon Sep 17 00:00:00 2001
From: Andrea Mannocci <andremann@libero.it>
Date: Wed, 24 Mar 2021 12:06:27 +0100
Subject: [PATCH] a few optimisations by creating variables so to make
 operations once before charting results

---
 notebooks/01-Exploration.ipynb | 390 ++++++++++++++++++---------------
 1 file changed, 212 insertions(+), 178 deletions(-)

diff --git a/notebooks/01-Exploration.ipynb b/notebooks/01-Exploration.ipynb
index 4efffc5..98e01b9 100644
--- a/notebooks/01-Exploration.ipynb
+++ b/notebooks/01-Exploration.ipynb
@@ -135,7 +135,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 6,
+   "execution_count": 5,
    "metadata": {},
    "outputs": [
     {
@@ -340,7 +340,7 @@
        "[5 rows x 24 columns]"
       ]
      },
-     "execution_count": 6,
+     "execution_count": 5,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -359,7 +359,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 7,
+   "execution_count": 6,
    "metadata": {},
    "outputs": [
     {
@@ -467,7 +467,7 @@
        "[1 rows x 24 columns]"
       ]
      },
-     "execution_count": 7,
+     "execution_count": 6,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -478,7 +478,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 8,
+   "execution_count": 7,
    "metadata": {},
    "outputs": [
     {
@@ -574,7 +574,7 @@
        "[1 rows x 24 columns]"
       ]
      },
-     "execution_count": 8,
+     "execution_count": 7,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -585,7 +585,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 9,
+   "execution_count": 8,
    "metadata": {},
    "outputs": [
     {
@@ -618,7 +618,7 @@
        "dtype: int64"
       ]
      },
-     "execution_count": 9,
+     "execution_count": 8,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -629,7 +629,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 10,
+   "execution_count": 9,
    "metadata": {},
    "outputs": [
     {
@@ -637,12 +637,12 @@
       "text/plain": [
        "count                10916574\n",
        "unique               10916574\n",
-       "top       0000-0002-5454-7613\n",
+       "top       0000-0001-8786-4765\n",
        "freq                        1\n",
        "Name: orcid, dtype: object"
       ]
      },
-     "execution_count": 10,
+     "execution_count": 9,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -660,7 +660,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 20,
+   "execution_count": 10,
    "metadata": {},
    "outputs": [
     {
@@ -673,7 +673,7 @@
        "Name: primary_email, dtype: object"
       ]
      },
-     "execution_count": 20,
+     "execution_count": 10,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -691,7 +691,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 21,
+   "execution_count": 11,
    "metadata": {},
    "outputs": [
     {
@@ -703,7 +703,7 @@
        "Name: primary_email, dtype: object"
       ]
      },
-     "execution_count": 21,
+     "execution_count": 11,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -714,7 +714,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 22,
+   "execution_count": 12,
    "metadata": {},
    "outputs": [
     {
@@ -749,6 +749,7 @@
        "      <th>urls</th>\n",
        "      <th>primary_email</th>\n",
        "      <th>...</th>\n",
+       "      <th>employment</th>\n",
        "      <th>n_works</th>\n",
        "      <th>works_source</th>\n",
        "      <th>activation_date</th>\n",
@@ -758,7 +759,6 @@
        "      <th>n_pmc</th>\n",
        "      <th>n_other_pids</th>\n",
        "      <th>label</th>\n",
-       "      <th>primary_email_domain</th>\n",
        "    </tr>\n",
        "  </thead>\n",
        "  <tbody>\n",
@@ -775,6 +775,7 @@
        "      <td>NaN</td>\n",
        "      <td>maykin@owasp.org</td>\n",
        "      <td>...</td>\n",
+       "      <td>NaN</td>\n",
        "      <td>0</td>\n",
        "      <td>NaN</td>\n",
        "      <td>2020-10-23t17:51:51.925z</td>\n",
@@ -784,7 +785,6 @@
        "      <td>0</td>\n",
        "      <td>0</td>\n",
        "      <td>0</td>\n",
-       "      <td>owasp.org</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>6347224</th>\n",
@@ -799,6 +799,7 @@
        "      <td>NaN</td>\n",
        "      <td>maykin@owasp.org</td>\n",
        "      <td>...</td>\n",
+       "      <td>NaN</td>\n",
        "      <td>0</td>\n",
        "      <td>NaN</td>\n",
        "      <td>2020-09-15t04:43:55.709z</td>\n",
@@ -808,11 +809,10 @@
        "      <td>0</td>\n",
        "      <td>0</td>\n",
        "      <td>0</td>\n",
-       "      <td>owasp.org</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
-       "<p>2 rows × 25 columns</p>\n",
+       "<p>2 rows × 24 columns</p>\n",
        "</div>"
       ],
       "text/plain": [
@@ -824,22 +824,18 @@
        "4450046      maykin    warasart       NaN         NaN  NaN  maykin@owasp.org   \n",
        "6347224      maykin    warasart       NaN         NaN  NaN  maykin@owasp.org   \n",
        "\n",
-       "         ... n_works works_source           activation_date  \\\n",
-       "4450046  ...       0          NaN  2020-10-23t17:51:51.925z   \n",
-       "6347224  ...       0          NaN  2020-09-15t04:43:55.709z   \n",
+       "         ... employment n_works works_source           activation_date  \\\n",
+       "4450046  ...        NaN       0          NaN  2020-10-23t17:51:51.925z   \n",
+       "6347224  ...        NaN       0          NaN  2020-09-15t04:43:55.709z   \n",
        "\n",
-       "                 last_update_date n_doi  n_arxiv n_pmc n_other_pids label  \\\n",
-       "4450046  2021-01-01t15:00:52.053z     0        0     0            0     0   \n",
-       "6347224  2020-09-15t05:17:28.509z     0        0     0            0     0   \n",
+       "                 last_update_date  n_doi n_arxiv n_pmc n_other_pids  label  \n",
+       "4450046  2021-01-01t15:00:52.053z      0       0     0            0      0  \n",
+       "6347224  2020-09-15t05:17:28.509z      0       0     0            0      0  \n",
        "\n",
-       "         primary_email_domain  \n",
-       "4450046             owasp.org  \n",
-       "6347224             owasp.org  \n",
-       "\n",
-       "[2 rows x 25 columns]"
+       "[2 rows x 24 columns]"
       ]
      },
-     "execution_count": 22,
+     "execution_count": 12,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -850,7 +846,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 23,
+   "execution_count": 13,
    "metadata": {},
    "outputs": [
     {
@@ -885,6 +881,7 @@
        "      <th>urls</th>\n",
        "      <th>primary_email</th>\n",
        "      <th>...</th>\n",
+       "      <th>employment</th>\n",
        "      <th>n_works</th>\n",
        "      <th>works_source</th>\n",
        "      <th>activation_date</th>\n",
@@ -894,7 +891,6 @@
        "      <th>n_pmc</th>\n",
        "      <th>n_other_pids</th>\n",
        "      <th>label</th>\n",
-       "      <th>primary_email_domain</th>\n",
        "    </tr>\n",
        "  </thead>\n",
        "  <tbody>\n",
@@ -911,6 +907,7 @@
        "      <td>NaN</td>\n",
        "      <td>opercin@erbakan.edu.tr</td>\n",
        "      <td>...</td>\n",
+       "      <td>NaN</td>\n",
        "      <td>0</td>\n",
        "      <td>NaN</td>\n",
        "      <td>2015-01-12t13:47:55.549z</td>\n",
@@ -920,7 +917,6 @@
        "      <td>0</td>\n",
        "      <td>0</td>\n",
        "      <td>0</td>\n",
-       "      <td>erbakan.edu.tr</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>9529005</th>\n",
@@ -935,6 +931,7 @@
        "      <td>NaN</td>\n",
        "      <td>opercin@erbakan.edu.tr</td>\n",
        "      <td>...</td>\n",
+       "      <td>[[, necmettin erbakan university, konya, , tr,...</td>\n",
        "      <td>0</td>\n",
        "      <td>NaN</td>\n",
        "      <td>2015-10-13t05:47:12.014z</td>\n",
@@ -944,11 +941,10 @@
        "      <td>0</td>\n",
        "      <td>0</td>\n",
        "      <td>0</td>\n",
-       "      <td>erbakan.edu.tr</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
-       "<p>2 rows × 25 columns</p>\n",
+       "<p>2 rows × 24 columns</p>\n",
        "</div>"
       ],
       "text/plain": [
@@ -960,22 +956,26 @@
        "6840791       osman      perçin       NaN         NaN  NaN   \n",
        "9529005       osman      perçin       NaN         NaN  NaN   \n",
        "\n",
-       "                  primary_email  ... n_works works_source  \\\n",
-       "6840791  opercin@erbakan.edu.tr  ...       0          NaN   \n",
-       "9529005  opercin@erbakan.edu.tr  ...       0          NaN   \n",
+       "                  primary_email  ...  \\\n",
+       "6840791  opercin@erbakan.edu.tr  ...   \n",
+       "9529005  opercin@erbakan.edu.tr  ...   \n",
        "\n",
-       "                  activation_date          last_update_date n_doi  n_arxiv  \\\n",
-       "6840791  2015-01-12t13:47:55.549z  2020-01-27t07:38:24.269z     0        0   \n",
-       "9529005  2015-10-13t05:47:12.014z  2020-12-25t13:52:03.976z     0        0   \n",
+       "                                                employment n_works  \\\n",
+       "6840791                                                NaN       0   \n",
+       "9529005  [[, necmettin erbakan university, konya, , tr,...       0   \n",
        "\n",
-       "        n_pmc n_other_pids label  primary_email_domain  \n",
-       "6840791     0            0     0        erbakan.edu.tr  \n",
-       "9529005     0            0     0        erbakan.edu.tr  \n",
+       "        works_source           activation_date          last_update_date  \\\n",
+       "6840791          NaN  2015-01-12t13:47:55.549z  2020-01-27t07:38:24.269z   \n",
+       "9529005          NaN  2015-10-13t05:47:12.014z  2020-12-25t13:52:03.976z   \n",
        "\n",
-       "[2 rows x 25 columns]"
+       "         n_doi n_arxiv n_pmc n_other_pids  label  \n",
+       "6840791      0       0     0            0      0  \n",
+       "9529005      0       0     0            0      0  \n",
+       "\n",
+       "[2 rows x 24 columns]"
       ]
      },
-     "execution_count": 23,
+     "execution_count": 13,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -986,7 +986,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 24,
+   "execution_count": 14,
    "metadata": {},
    "outputs": [
     {
@@ -1021,6 +1021,7 @@
        "      <th>urls</th>\n",
        "      <th>primary_email</th>\n",
        "      <th>...</th>\n",
+       "      <th>employment</th>\n",
        "      <th>n_works</th>\n",
        "      <th>works_source</th>\n",
        "      <th>activation_date</th>\n",
@@ -1030,7 +1031,6 @@
        "      <th>n_pmc</th>\n",
        "      <th>n_other_pids</th>\n",
        "      <th>label</th>\n",
-       "      <th>primary_email_domain</th>\n",
        "    </tr>\n",
        "  </thead>\n",
        "  <tbody>\n",
@@ -1047,6 +1047,7 @@
        "      <td>NaN</td>\n",
        "      <td>patrick.davey@monash.edu</td>\n",
        "      <td>...</td>\n",
+       "      <td>[[phd student, monash university, melbourne, ,...</td>\n",
        "      <td>0</td>\n",
        "      <td>NaN</td>\n",
        "      <td>2019-05-09t23:01:02.170z</td>\n",
@@ -1056,7 +1057,6 @@
        "      <td>0</td>\n",
        "      <td>0</td>\n",
        "      <td>0</td>\n",
-       "      <td>monash.edu</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>7027865</th>\n",
@@ -1071,6 +1071,7 @@
        "      <td>NaN</td>\n",
        "      <td>patrick.davey@monash.edu</td>\n",
        "      <td>...</td>\n",
+       "      <td>[[phd student, monash university, melbourne, v...</td>\n",
        "      <td>1</td>\n",
        "      <td>[crossref]</td>\n",
        "      <td>2018-09-11t10:47:10.997z</td>\n",
@@ -1080,11 +1081,10 @@
        "      <td>0</td>\n",
        "      <td>0</td>\n",
        "      <td>1</td>\n",
-       "      <td>monash.edu</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
-       "<p>2 rows × 25 columns</p>\n",
+       "<p>2 rows × 24 columns</p>\n",
        "</div>"
       ],
       "text/plain": [
@@ -1096,22 +1096,26 @@
        "944993      patrick       davey       NaN         NaN  NaN   \n",
        "7027865     patrick       davey       NaN         NaN  NaN   \n",
        "\n",
-       "                    primary_email  ... n_works works_source  \\\n",
-       "944993   patrick.davey@monash.edu  ...       0          NaN   \n",
-       "7027865  patrick.davey@monash.edu  ...       1   [crossref]   \n",
+       "                    primary_email  ...  \\\n",
+       "944993   patrick.davey@monash.edu  ...   \n",
+       "7027865  patrick.davey@monash.edu  ...   \n",
        "\n",
-       "                  activation_date          last_update_date n_doi  n_arxiv  \\\n",
-       "944993   2019-05-09t23:01:02.170z  2019-08-20t03:00:17.844z     0        0   \n",
-       "7027865  2018-09-11t10:47:10.997z  2021-02-09t06:21:44.138z     1        0   \n",
+       "                                                employment n_works  \\\n",
+       "944993   [[phd student, monash university, melbourne, ,...       0   \n",
+       "7027865  [[phd student, monash university, melbourne, v...       1   \n",
        "\n",
-       "        n_pmc n_other_pids label  primary_email_domain  \n",
-       "944993      0            0     0            monash.edu  \n",
-       "7027865     0            0     1            monash.edu  \n",
+       "        works_source           activation_date          last_update_date  \\\n",
+       "944993           NaN  2019-05-09t23:01:02.170z  2019-08-20t03:00:17.844z   \n",
+       "7027865   [crossref]  2018-09-11t10:47:10.997z  2021-02-09t06:21:44.138z   \n",
        "\n",
-       "[2 rows x 25 columns]"
+       "         n_doi n_arxiv n_pmc n_other_pids  label  \n",
+       "944993       0       0     0            0      0  \n",
+       "7027865      1       0     0            0      1  \n",
+       "\n",
+       "[2 rows x 24 columns]"
       ]
      },
-     "execution_count": 24,
+     "execution_count": 14,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -1122,16 +1126,16 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 25,
+   "execution_count": 15,
    "metadata": {},
    "outputs": [],
    "source": [
-    "df['primary_email_domain'] = df['primary_email'].apply(lambda x: x.split('@')[1] if pd.notna(x) else x)"
+    "df['primary_email_domain'] = df[df.primary_email.notna()]['primary_email'].apply(lambda x: x.split('@')[1])"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 26,
+   "execution_count": 16,
    "metadata": {},
    "outputs": [
     {
@@ -1144,7 +1148,7 @@
        "Name: primary_email_domain, dtype: object"
       ]
      },
-     "execution_count": 26,
+     "execution_count": 16,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -1155,7 +1159,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 27,
+   "execution_count": 17,
    "metadata": {},
    "outputs": [
     {
@@ -1254,19 +1258,22 @@
        "[17089 rows x 1 columns]"
       ]
      },
-     "execution_count": 27,
+     "execution_count": 17,
      "metadata": {},
      "output_type": "execute_result"
     }
    ],
    "source": [
-    "primary_emails = df[['primary_email_domain', 'orcid']].groupby('primary_email_domain').count().sort_values('orcid', ascending=False)\n",
-    "primary_emails"
+    "top_primary_emails = df[['primary_email_domain', 'orcid']]\\\n",
+    "                .groupby('primary_email_domain')\\\n",
+    "                .count()\\\n",
+    "                .sort_values('orcid', ascending=False)\n",
+    "top_primary_emails"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 28,
+   "execution_count": 18,
    "metadata": {},
    "outputs": [
     {
@@ -2154,7 +2161,7 @@
          }
         },
         "title": {
-         "text": "Top 30 email domains"
+         "text": "Top-30 email domains"
         },
         "xaxis": {
          "range": [
@@ -2169,9 +2176,9 @@
        }
       },
       "text/html": [
-       "<div>                            <div id=\"15d3677b-72ef-4927-9ec5-b34a376fc263\" class=\"plotly-graph-div\" style=\"height:525px; width:100%;\"></div>            <script type=\"text/javascript\">                require([\"plotly\"], function(Plotly) {                    window.PLOTLYENV=window.PLOTLYENV || {};                                    if (document.getElementById(\"15d3677b-72ef-4927-9ec5-b34a376fc263\")) {                    Plotly.newPlot(                        \"15d3677b-72ef-4927-9ec5-b34a376fc263\",                        [{\"type\": \"bar\", \"x\": [\"gmail.com\", \"hotmail.com\", \"yahoo.com\", \"163.com\", \"yuhs.ac\", \"qq.com\", \"outlook.com\", \"126.com\", \"bu.edu\", \"usgs.gov\", \"mail.ru\", \"yahoo.com.br\", \"usp.br\", \"ua.pt\", \"umich.edu\", \"ust.hk\", \"foxmail.com\", \"uomustansiriyah.edu.iq\", \"yandex.ru\", \"uq.edu.au\", \"ukr.net\", \"unesp.br\", \"ucl.ac.uk\", \"ieee.org\", \"naver.com\", \"st-annes.ox.ac.uk\", \"stcatz.ox.ac.uk\", 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+       "<div>                            <div id=\"6d0a9ba4-1f82-4a09-9f2b-42a7fb8aaa3c\" class=\"plotly-graph-div\" style=\"height:525px; width:100%;\"></div>            <script type=\"text/javascript\">                require([\"plotly\"], function(Plotly) {                    window.PLOTLYENV=window.PLOTLYENV || {};                                    if (document.getElementById(\"6d0a9ba4-1f82-4a09-9f2b-42a7fb8aaa3c\")) {                    Plotly.newPlot(                        \"6d0a9ba4-1f82-4a09-9f2b-42a7fb8aaa3c\",                        [{\"type\": \"bar\", \"x\": [\"gmail.com\", \"hotmail.com\", \"yahoo.com\", \"163.com\", \"yuhs.ac\", \"qq.com\", \"outlook.com\", \"126.com\", \"bu.edu\", \"usgs.gov\", \"mail.ru\", \"yahoo.com.br\", \"usp.br\", \"ua.pt\", \"umich.edu\", \"ust.hk\", \"foxmail.com\", \"uomustansiriyah.edu.iq\", \"yandex.ru\", \"uq.edu.au\", \"ukr.net\", \"unesp.br\", \"ucl.ac.uk\", \"ieee.org\", \"naver.com\", \"st-annes.ox.ac.uk\", \"stcatz.ox.ac.uk\", 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        "                            \n",
-       "var gd = document.getElementById('15d3677b-72ef-4927-9ec5-b34a376fc263');\n",
+       "var gd = document.getElementById('6d0a9ba4-1f82-4a09-9f2b-42a7fb8aaa3c');\n",
        "var x = new MutationObserver(function (mutations, observer) {{\n",
        "        var display = window.getComputedStyle(gd).display;\n",
        "        if (!display || display === 'none') {{\n",
@@ -2204,13 +2211,13 @@
     "set_top_n(30)\n",
     "data = [\n",
     "    go.Bar(\n",
-    "        x=primary_emails.sort_values(by=['orcid'], ascending=False).index[:TOP_N],\n",
-    "        y=primary_emails.sort_values(by=['orcid'], ascending=False)['orcid'][:TOP_N]\n",
+    "        x=top_primary_emails[:TOP_N].index,\n",
+    "        y=top_primary_emails[:TOP_N]['orcid']\n",
     "    )\n",
     "]\n",
     "\n",
     "layout = go.Layout(\n",
-    "    title='Top %s email domains' % TOP_N,\n",
+    "    title='Top-%s email domains' % TOP_N,\n",
     "    xaxis=dict(tickangle=45, tickfont=dict(size=12), range=TOP_RANGE)\n",
     ")\n",
     "fig = go.Figure(data=data, layout=layout)\n",
@@ -2226,7 +2233,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 29,
+   "execution_count": 19,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -2239,16 +2246,16 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 30,
+   "execution_count": 20,
    "metadata": {},
    "outputs": [],
    "source": [
-    "df['other_email_domains'] = df['other_emails'].apply(lambda x: extract_email_domains(x) if isinstance(x, list) else x)"
+    "df['other_email_domains'] = df[df.other_emails.notna()]['other_emails'].apply(lambda x: extract_email_domains(x))"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 31,
+   "execution_count": 21,
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@@ -2469,7 +2476,7 @@
        "[5 rows x 26 columns]"
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-     "execution_count": 31,
+     "execution_count": 21,
      "metadata": {},
      "output_type": "execute_result"
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@@ -2480,7 +2487,7 @@
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+   "execution_count": 22,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -2489,7 +2496,16 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 33,
+   "execution_count": 23,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "emails_by_orcid = df.sort_values('n_emails', ascending=False)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 24,
    "metadata": {},
    "outputs": [
     {
@@ -3377,7 +3393,7 @@
          }
         },
         "title": {
-         "text": "Top 30 ORCiD by email"
+         "text": "Top 30 ORCID iDs by email"
         },
         "xaxis": {
          "range": [
@@ -3392,9 +3408,9 @@
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{\"text\": \"Top 30 ORCID iDs by email\"}, \"xaxis\": {\"range\": [-0.5, 29.5], \"tickangle\": 45, \"tickfont\": {\"size\": 12}}},                        {\"responsive\": true}                    ).then(function(){\n",
        "                            \n",
-       "var gd = document.getElementById('af09fc26-d772-4201-a866-00d6c313371e');\n",
+       "var gd = document.getElementById('0152e237-dfee-4a0f-a081-3de6dfaff1ea');\n",
        "var x = new MutationObserver(function (mutations, observer) {{\n",
        "        var display = window.getComputedStyle(gd).display;\n",
        "        if (!display || display === 'none') {{\n",
@@ -3427,13 +3443,13 @@
     "set_top_n(30)\n",
     "data = [\n",
     "    go.Bar(\n",
-    "        x=df.sort_values('n_emails', ascending=False)['orcid'][:TOP_N],\n",
-    "        y=df.sort_values('n_emails', ascending=False)['n_emails'][:TOP_N]\n",
+    "        x=emails_by_orcid[:TOP_N]['orcid'],\n",
+    "        y=emails_by_orcid[:TOP_N]['n_emails']\n",
     "    )\n",
     "]\n",
     "\n",
     "layout = go.Layout(\n",
-    "    title='Top %s ORCiD by email' % TOP_N, \n",
+    "    title='Top %s ORCID iDs by email' % TOP_N, \n",
     "    xaxis=dict(tickangle=45, tickfont=dict(size=12), range=TOP_RANGE)\n",
     ")\n",
     "fig = go.Figure(data=data, layout=layout)\n",
@@ -3442,11 +3458,11 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 34,
+   "execution_count": 25,
    "metadata": {},
    "outputs": [],
    "source": [
-    "grouped_other_emails = df[['orcid', 'other_email_domains']]\\\n",
+    "top_other_emails = df[['orcid', 'other_email_domains']]\\\n",
     "                        .explode('other_email_domains')\\\n",
     "                        .reset_index(drop=True)\\\n",
     "                        .groupby('other_email_domains')\\\n",
@@ -3456,7 +3472,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 35,
+   "execution_count": 26,
    "metadata": {},
    "outputs": [
     {
@@ -4359,9 +4375,9 @@
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        "                            \n",
-       "var gd = document.getElementById('f62e82ae-82a4-402b-9759-c47003e4a6bc');\n",
+       "var gd = document.getElementById('4d9f274d-276a-4315-a2eb-4dabcb86a1e3');\n",
        "var x = new MutationObserver(function (mutations, observer) {{\n",
        "        var display = window.getComputedStyle(gd).display;\n",
        "        if (!display || display === 'none') {{\n",
@@ -4394,8 +4410,8 @@
     "set_top_n(30)\n",
     "data = [\n",
     "    go.Bar(\n",
-    "        x=grouped_other_emails.sort_values(by=['orcid'], ascending=False).index[:TOP_N],\n",
-    "        y=grouped_other_emails.sort_values(by=['orcid'], ascending=False)['orcid'][:TOP_N]\n",
+    "        x=top_other_emails[:TOP_N].index,\n",
+    "        y=top_other_emails[:TOP_N]['orcid']\n",
     "    )\n",
     "]\n",
     "\n",
@@ -4416,7 +4432,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 36,
+   "execution_count": 27,
    "metadata": {
     "scrolled": true
    },
@@ -4830,7 +4846,7 @@
        "[19692 rows x 27 columns]"
       ]
      },
-     "execution_count": 36,
+     "execution_count": 27,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -4862,7 +4878,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 37,
+   "execution_count": 28,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -4878,16 +4894,16 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 38,
+   "execution_count": 29,
    "metadata": {},
    "outputs": [],
    "source": [
-    "df['url_domains'] = df['urls'].apply(lambda x: extract_url_domains(x) if isinstance(x, list) else x)"
+    "df['url_domains'] = df[df.urls.notna()]['urls'].apply(lambda x: extract_url_domains(x))"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 39,
+   "execution_count": 30,
    "metadata": {},
    "outputs": [
     {
@@ -5113,7 +5129,7 @@
        "[5 rows x 28 columns]"
       ]
      },
-     "execution_count": 39,
+     "execution_count": 30,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -5124,7 +5140,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 40,
+   "execution_count": 31,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -5133,7 +5149,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 41,
+   "execution_count": 32,
    "metadata": {},
    "outputs": [
     {
@@ -5239,18 +5255,19 @@
        "[10916574 rows x 2 columns]"
       ]
      },
-     "execution_count": 41,
+     "execution_count": 32,
      "metadata": {},
      "output_type": "execute_result"
     }
    ],
    "source": [
-    "df.sort_values('n_urls', ascending=False)[['orcid', 'n_urls']]"
+    "urls_by_orcid = df.sort_values('n_urls', ascending=False)[['orcid', 'n_urls']]\n",
+    "urls_by_orcid"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 42,
+   "execution_count": 33,
    "metadata": {},
    "outputs": [
     {
@@ -6278,7 +6295,7 @@
          }
         },
         "title": {
-         "text": "Top 100 ORCID with URLs"
+         "text": "Top 100 ORCID iDs with URLs"
         },
         "xaxis": {
          "range": [
@@ -6293,9 +6310,9 @@
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       },
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true, \"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\", \"title\": {\"standoff\": 15}, \"zerolinecolor\": \"white\", \"zerolinewidth\": 2}}}, \"title\": {\"text\": \"Top 100 ORCID iDs with URLs\"}, \"xaxis\": {\"range\": [-0.5, 99.5], \"tickangle\": 45, \"tickfont\": {\"size\": 12}}},                        {\"responsive\": true}                    ).then(function(){\n",
        "                            \n",
-       "var gd = document.getElementById('bedc1d58-293d-4a5b-99a0-6e6d8bda10c0');\n",
+       "var gd = document.getElementById('a201d939-b14e-4104-a799-613ffed5530d');\n",
        "var x = new MutationObserver(function (mutations, observer) {{\n",
        "        var display = window.getComputedStyle(gd).display;\n",
        "        if (!display || display === 'none') {{\n",
@@ -6328,13 +6345,13 @@
     "set_top_n(100)\n",
     "data = [\n",
     "    go.Bar(\n",
-    "        x=df.sort_values(by=['n_urls'], ascending=False)['orcid'][:TOP_N],\n",
-    "        y=df.sort_values(by=['n_urls'], ascending=False)['n_urls'][:TOP_N]\n",
+    "        x=urls_by_orcid[:TOP_N]['orcid'],\n",
+    "        y=urls_by_orcid[:TOP_N]['n_urls']\n",
     "    )\n",
     "]\n",
     "\n",
     "layout = go.Layout(\n",
-    "    title='Top %s ORCID with URLs' % TOP_N,\n",
+    "    title='Top %s ORCID iDs with URLs' % TOP_N,\n",
     "    xaxis=dict(tickangle=45, tickfont=dict(size=12), range=TOP_RANGE)\n",
     ")\n",
     "fig = go.Figure(data=data, layout=layout)\n",
@@ -6343,11 +6360,11 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 43,
+   "execution_count": 34,
    "metadata": {},
    "outputs": [],
    "source": [
-    "grouped_urls = df[['orcid', 'url_domains']]\\\n",
+    "top_urls = df[['orcid', 'url_domains']]\\\n",
     "                .explode('url_domains')\\\n",
     "                .reset_index(drop=True)\\\n",
     "                .groupby('url_domains')\\\n",
@@ -6357,7 +6374,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 44,
+   "execution_count": 35,
    "metadata": {},
    "outputs": [
     {
@@ -7245,7 +7262,7 @@
          }
         },
         "title": {
-         "text": "Top 30 URL domains"
+         "text": "Top-30 URL domains"
         },
         "xaxis": {
          "range": [
@@ -7260,9 +7277,9 @@
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       },
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        "                            \n",
-       "var gd = document.getElementById('eb52759a-1585-4b28-996e-061364c1b3c7');\n",
+       "var gd = document.getElementById('06469dff-2247-4cba-8fba-7df2d895bd47');\n",
        "var x = new MutationObserver(function (mutations, observer) {{\n",
        "        var display = window.getComputedStyle(gd).display;\n",
        "        if (!display || display === 'none') {{\n",
@@ -7295,22 +7312,29 @@
     "set_top_n(30)\n",
     "data = [\n",
     "    go.Bar(\n",
-    "        x=grouped_urls.sort_values(by=['orcid'], ascending=False).index[:TOP_N],\n",
-    "        y=grouped_urls.sort_values(by=['orcid'], ascending=False)['orcid'][:TOP_N]\n",
+    "        x=top_urls[:TOP_N].index,\n",
+    "        y=top_urls[:TOP_N]['orcid']\n",
     "    )\n",
     "]\n",
     "\n",
     "layout = go.Layout(\n",
-    "    title='Top %s URL domains' % TOP_N,\n",
+    "    title='Top-%s URL domains' % TOP_N,\n",
     "    xaxis=dict(tickangle=45, tickfont=dict(size=12), range=TOP_RANGE)\n",
     ")\n",
     "fig = go.Figure(data=data, layout=layout)\n",
     "plotly.offline.iplot(fig)"
    ]
   },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## URLs speculation"
+   ]
+  },
   {
    "cell_type": "code",
-   "execution_count": 45,
+   "execution_count": 36,
    "metadata": {
     "scrolled": true
    },
@@ -7816,7 +7840,7 @@
        "[13 rows x 29 columns]"
       ]
      },
-     "execution_count": 45,
+     "execution_count": 36,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -7827,7 +7851,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 46,
+   "execution_count": 37,
    "metadata": {
     "scrolled": true
    },
@@ -8267,7 +8291,7 @@
        "[141 rows x 29 columns]"
       ]
      },
-     "execution_count": 46,
+     "execution_count": 37,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -8278,7 +8302,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 47,
+   "execution_count": 38,
    "metadata": {
     "scrolled": true
    },
@@ -8718,7 +8742,7 @@
        "[141 rows x 29 columns]"
       ]
      },
-     "execution_count": 47,
+     "execution_count": 38,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -8730,7 +8754,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 48,
+   "execution_count": 39,
    "metadata": {
     "scrolled": true
    },
@@ -9170,7 +9194,7 @@
        "[115 rows x 29 columns]"
       ]
      },
-     "execution_count": 48,
+     "execution_count": 39,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -9209,7 +9233,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 49,
+   "execution_count": 40,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -9218,7 +9242,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 50,
+   "execution_count": 41,
    "metadata": {},
    "outputs": [
     {
@@ -9235,7 +9259,7 @@
        "Name: n_ids, dtype: float64"
       ]
      },
-     "execution_count": 50,
+     "execution_count": 41,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -9246,7 +9270,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 51,
+   "execution_count": 42,
    "metadata": {},
    "outputs": [
     {
@@ -9342,7 +9366,7 @@
        "[1 rows x 30 columns]"
       ]
      },
-     "execution_count": 51,
+     "execution_count": 42,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -9353,7 +9377,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 52,
+   "execution_count": 43,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -9362,7 +9386,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 53,
+   "execution_count": 44,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -9371,7 +9395,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 54,
+   "execution_count": 45,
    "metadata": {},
    "outputs": [
     {
@@ -9444,7 +9468,7 @@
        "15  0000-0001-9708-5570  [scopus author id, 42062216900]  scopus author id"
       ]
      },
-     "execution_count": 54,
+     "execution_count": 45,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -9455,7 +9479,16 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 55,
+   "execution_count": 46,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "top_ids_providers = ids.groupby('provider').count().sort_values('orcid', ascending=False)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 47,
    "metadata": {},
    "outputs": [
     {
@@ -10388,9 +10421,9 @@
        }
       },
       "text/html": [
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        "                            \n",
-       "var gd = document.getElementById('874e7b29-a69b-483e-ab13-ee22b3def40e');\n",
+       "var gd = document.getElementById('712d1108-dca2-4e94-9ef3-cbfebdd687d3');\n",
        "var x = new MutationObserver(function (mutations, observer) {{\n",
        "        var display = window.getComputedStyle(gd).display;\n",
        "        if (!display || display === 'none') {{\n",
@@ -10422,8 +10455,8 @@
    "source": [
     "data = [\n",
     "    go.Bar(\n",
-    "        x=ids.groupby('provider').count().sort_values('orcid', ascending=False).index,\n",
-    "        y=ids.groupby('provider').count().sort_values('orcid', ascending=False)['orcid']\n",
+    "        x=top_ids_providers.index,\n",
+    "        y=top_ids_providers['orcid']\n",
     "    )\n",
     "]\n",
     "\n",
@@ -10437,7 +10470,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 56,
+   "execution_count": 48,
    "metadata": {},
    "outputs": [
     {
@@ -10458,7 +10491,7 @@
        "       'une researcher id', 'custom', 'orcid'], dtype=object)"
       ]
      },
-     "execution_count": 56,
+     "execution_count": 48,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -10483,7 +10516,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 57,
+   "execution_count": 49,
    "metadata": {},
    "outputs": [
     {
@@ -10496,7 +10529,7 @@
        " 'research infrastructures']"
       ]
      },
-     "execution_count": 57,
+     "execution_count": 49,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -10514,7 +10547,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 58,
+   "execution_count": 50,
    "metadata": {},
    "outputs": [
     {
@@ -10523,7 +10556,7 @@
        "['open access, open science, libraries, repositories, social web,']"
       ]
      },
-     "execution_count": 58,
+     "execution_count": 50,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -10541,7 +10574,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 59,
+   "execution_count": 51,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -10558,7 +10591,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 60,
+   "execution_count": 52,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -10567,16 +10600,16 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 61,
+   "execution_count": 53,
    "metadata": {},
    "outputs": [
     {
      "data": {
       "text/plain": [
-       "['open science', 'repositories', 'open access', 'libraries', 'social web']"
+       "['open science', 'repositories', 'social web', 'libraries', 'open access']"
       ]
      },
-     "execution_count": 61,
+     "execution_count": 53,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -10587,7 +10620,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 62,
+   "execution_count": 54,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -10596,7 +10629,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 63,
+   "execution_count": 55,
    "metadata": {},
    "outputs": [
     {
@@ -10702,18 +10735,19 @@
        "[10916574 rows x 2 columns]"
       ]
      },
-     "execution_count": 63,
+     "execution_count": 55,
      "metadata": {},
      "output_type": "execute_result"
     }
    ],
    "source": [
-    "df.sort_values('n_keywords', ascending=False)[['orcid', 'n_keywords']]"
+    "keywords_by_orcid = df.sort_values('n_keywords', ascending=False)[['orcid', 'n_keywords']]\n",
+    "keywords_by_orcid"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 64,
+   "execution_count": 56,
    "metadata": {},
    "outputs": [
     {
@@ -11756,9 +11790,9 @@
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        "var x = new MutationObserver(function (mutations, observer) {{\n",
        "        var display = window.getComputedStyle(gd).display;\n",
        "        if (!display || display === 'none') {{\n",
@@ -11791,8 +11825,8 @@
     "set_top_n(100)\n",
     "data = [\n",
     "    go.Bar(\n",
-    "        x=df.sort_values('n_keywords', ascending=False)['orcid'][:TOP_N],\n",
-    "        y=df.sort_values('n_keywords', ascending=False)['n_keywords'][:TOP_N]\n",
+    "        x=keywords_by_orcid[:TOP_N]['orcid'],\n",
+    "        y=keywords_by_orcid[:TOP_N]['n_keywords']\n",
     "    )\n",
     "]\n",
     "\n",
@@ -11806,11 +11840,11 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 65,
+   "execution_count": 57,
    "metadata": {},
    "outputs": [],
    "source": [
-    "grouped_keywords = df[['orcid', 'keywords']]\\\n",
+    "top_keywords = df[['orcid', 'keywords']]\\\n",
     "                .explode('keywords')\\\n",
     "                .reset_index(drop=True)\\\n",
     "                .groupby('keywords')\\\n",
@@ -11820,7 +11854,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 66,
+   "execution_count": 58,
    "metadata": {},
    "outputs": [
     {
@@ -12759,9 +12793,9 @@
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        "                            \n",
-       "var gd = document.getElementById('340562d0-8ded-4225-b510-32d718f8ce98');\n",
+       "var gd = document.getElementById('88f44efc-295c-44a8-84d2-43bd5a7fde65');\n",
        "var x = new MutationObserver(function (mutations, observer) {{\n",
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@@ -12794,8 +12828,8 @@
     "set_top_n(50)\n",
     "data = [\n",
     "    go.Bar(\n",
-    "        x=grouped_keywords.index[:TOP_N],\n",
-    "        y=grouped_keywords['orcid'][:TOP_N]\n",
+    "        x=top_keywords[:TOP_N].index,\n",
+    "        y=top_keywords[:TOP_N]['orcid']\n",
     "    )\n",
     "]\n",
     "\n",
@@ -12816,7 +12850,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 67,
+   "execution_count": 59,
    "metadata": {},
    "outputs": [
     {
@@ -13937,9 +13971,9 @@
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