diff --git a/notebooks/01-Exploration.ipynb b/notebooks/01-Exploration.ipynb index 66cbe21..d94c9b1 100644 --- a/notebooks/01-Exploration.ipynb +++ b/notebooks/01-Exploration.ipynb @@ -54,7 +54,9 @@ "import pandas as pd\n", "import ast\n", "import tldextract\n", - "import numpy\n", + "import numpy as np\n", + "\n", + "import antispam\n", "\n", "import plotly\n", "from plotly.offline import iplot, init_notebook_mode\n", @@ -64,10 +66,13 @@ "init_notebook_mode(connected=True)\n", "TOP_N = 0\n", "TOP_RANGE = [0, 0]\n", + "\n", "def set_top_n(n):\n", " global TOP_N, TOP_RANGE\n", " TOP_N = n\n", - " TOP_RANGE = [-.5, n - 1 + .5]" + " TOP_RANGE = [-.5, n - 1 + .5]\n", + " \n", + "pd.set_option('display.max_columns', None)" ] }, { @@ -162,16 +167,16 @@ " \n", " \n", " orcid\n", - " claimed\n", " verified_email\n", " verified_primary_email\n", " given_names\n", " family_name\n", " biography\n", " other_names\n", - " urls\n", " primary_email\n", - " ...\n", + " keywords\n", + " external_ids\n", + " education\n", " employment\n", " n_works\n", " works_source\n", @@ -182,185 +187,257 @@ " n_pmc\n", " n_other_pids\n", " label\n", + " primary_email_domain\n", + " other_email_domains\n", + " url_domains\n", + " n_emails\n", + " n_urls\n", + " n_ids\n", + " n_keywords\n", + " n_education\n", + " n_employment\n", " \n", " \n", " \n", " \n", - " 10000000\n", - " 0000-0001-9812-9790\n", + " 0000-0001-6097-3953\n", " 1\n", - " 1\n", - " 1\n", - " jonathan\n", - " termaat\n", + " 0\n", + " 0\n", + " NaN\n", + " NaN\n", + " NaN\n", + " NaN\n", + " NaN\n", " NaN\n", " NaN\n", " NaN\n", " NaN\n", - " ...\n", - " [[research co-ordinator, waikato district heal...\n", " 0\n", " NaN\n", - " 2019-04-15t03:08:05.268z\n", - " 2019-04-15t03:09:44.443z\n", + " 2018-03-02t09:29:16.528z\n", + " 2018-03-02t09:43:07.551z\n", " 0\n", " 0\n", " 0\n", " 0\n", " 0\n", + " NaN\n", + " NaN\n", + " NaN\n", + " NaN\n", + " NaN\n", + " NaN\n", + " NaN\n", + " NaN\n", + " NaN\n", " \n", " \n", - " 10000001\n", - " 0000-0002-0572-0598\n", + " 0000-0001-6112-5550\n", " 1\n", " 1\n", " 1\n", - " jonathan\n", - " jørgensen\n", + " NaN\n", + " NaN\n", + " NaN\n", + " [v.i. yurtaev; v. yurtaev]\n", " NaN\n", " NaN\n", " NaN\n", " NaN\n", - " ...\n", - " NaN\n", + " [[professor, peoples friendship university of ...\n", " 0\n", " NaN\n", - " 2019-03-17t20:31:23.753z\n", - " 2019-03-17t20:33:50.316z\n", + " 2018-04-03t07:50:23.358z\n", + " 2020-03-18t09:42:44.753z\n", " 0\n", " 0\n", " 0\n", " 0\n", " 0\n", + " NaN\n", + " NaN\n", + " NaN\n", + " NaN\n", + " NaN\n", + " NaN\n", + " NaN\n", + " NaN\n", + " 1.0\n", " \n", " \n", - " 10000002\n", - " 0000-0002-1512-9646\n", + " 0000-0001-6152-2695\n", " 1\n", " 1\n", " 1\n", - " jonathan\n", - " mkrtchyan\n", " NaN\n", " NaN\n", " NaN\n", " NaN\n", - " ...\n", " NaN\n", - " 1\n", - " [jonathan mkrtchyan]\n", - " 2020-08-24t18:47:27.332z\n", - " 2020-08-24t18:54:37.398z\n", - " 1\n", + " NaN\n", + " NaN\n", + " NaN\n", + " NaN\n", + " 0\n", + " NaN\n", + " 2019-12-11t15:31:56.388z\n", + " 2020-01-28t15:34:17.309z\n", " 0\n", " 0\n", - " 2\n", - " 1\n", + " 0\n", + " 0\n", + " 0\n", + " NaN\n", + " NaN\n", + " NaN\n", + " NaN\n", + " NaN\n", + " NaN\n", + " NaN\n", + " NaN\n", + " NaN\n", " \n", " \n", - " 10000003\n", - " 0000-0002-2271-4069\n", + " 0000-0001-6220-5683\n", " 1\n", " 1\n", " 1\n", - " jonathan\n", - " pickard\n", " NaN\n", " NaN\n", " NaN\n", " NaN\n", - " ...\n", " NaN\n", + " NaN\n", + " NaN\n", + " NaN\n", + " [[research scientist, new york university abu ...\n", " 0\n", " NaN\n", - " 2018-05-03t09:34:25.613z\n", - " 2018-05-10t13:05:09.297z\n", + " 2015-08-18t12:36:45.307z\n", + " 2020-09-23t13:37:54.180z\n", " 0\n", " 0\n", " 0\n", " 0\n", " 0\n", + " NaN\n", + " NaN\n", + " NaN\n", + " NaN\n", + " NaN\n", + " NaN\n", + " NaN\n", + " NaN\n", + " 1.0\n", " \n", " \n", - " 10000004\n", - " 0000-0002-3054-9622\n", + " 0000-0001-7071-8294\n", " 1\n", " 1\n", " 1\n", - " jonathan\n", - " greer\n", - " NaN\n", - " [jonathan s. greer]\n", " NaN\n", " NaN\n", - " ...\n", - " [[associate professor of old testament and dir...\n", - " 2\n", - " [multidisciplinary digital publishing institut...\n", - " 2019-04-09t20:05:25.447z\n", - " 2020-02-07t15:55:18.951z\n", - " 2\n", + " NaN\n", + " NaN\n", + " NaN\n", + " NaN\n", + " NaN\n", + " NaN\n", + " [[researcher (academic), universidad de zarago...\n", + " 0\n", + " NaN\n", + " 2014-03-10t13:22:01.966z\n", + " 2016-06-14t22:17:54.470z\n", " 0\n", " 0\n", - " 1\n", - " 1\n", + " 0\n", + " 0\n", + " 0\n", + " NaN\n", + " NaN\n", + " NaN\n", + " NaN\n", + " NaN\n", + " NaN\n", + " NaN\n", + " NaN\n", + " 2.0\n", " \n", " \n", "\n", - "

5 rows × 24 columns

\n", "" ], "text/plain": [ - " orcid claimed verified_email \\\n", - "10000000 0000-0001-9812-9790 1 1 \n", - "10000001 0000-0002-0572-0598 1 1 \n", - "10000002 0000-0002-1512-9646 1 1 \n", - "10000003 0000-0002-2271-4069 1 1 \n", - "10000004 0000-0002-3054-9622 1 1 \n", + " orcid verified_email verified_primary_email \\\n", + "0000-0001-6097-3953 1 0 0 \n", + "0000-0001-6112-5550 1 1 1 \n", + "0000-0001-6152-2695 1 1 1 \n", + "0000-0001-6220-5683 1 1 1 \n", + "0000-0001-7071-8294 1 1 1 \n", "\n", - " verified_primary_email given_names family_name biography \\\n", - "10000000 1 jonathan termaat NaN \n", - "10000001 1 jonathan jørgensen NaN \n", - "10000002 1 jonathan mkrtchyan NaN \n", - "10000003 1 jonathan pickard NaN \n", - "10000004 1 jonathan greer NaN \n", + " given_names family_name biography \\\n", + "0000-0001-6097-3953 NaN NaN NaN \n", + "0000-0001-6112-5550 NaN NaN NaN \n", + "0000-0001-6152-2695 NaN NaN NaN \n", + "0000-0001-6220-5683 NaN NaN NaN \n", + "0000-0001-7071-8294 NaN NaN NaN \n", "\n", - " other_names urls primary_email ... \\\n", - "10000000 NaN NaN NaN ... \n", - "10000001 NaN NaN NaN ... \n", - "10000002 NaN NaN NaN ... \n", - "10000003 NaN NaN NaN ... \n", - "10000004 [jonathan s. greer] NaN NaN ... \n", + " other_names primary_email keywords \\\n", + "0000-0001-6097-3953 NaN NaN NaN \n", + "0000-0001-6112-5550 [v.i. yurtaev; v. yurtaev] NaN NaN \n", + "0000-0001-6152-2695 NaN NaN NaN \n", + "0000-0001-6220-5683 NaN NaN NaN \n", + "0000-0001-7071-8294 NaN NaN NaN \n", "\n", - " employment n_works \\\n", - "10000000 [[research co-ordinator, waikato district heal... 0 \n", - "10000001 NaN 0 \n", - "10000002 NaN 1 \n", - "10000003 NaN 0 \n", - "10000004 [[associate professor of old testament and dir... 2 \n", + " external_ids education \\\n", + "0000-0001-6097-3953 NaN NaN \n", + "0000-0001-6112-5550 NaN NaN \n", + "0000-0001-6152-2695 NaN NaN \n", + "0000-0001-6220-5683 NaN NaN \n", + "0000-0001-7071-8294 NaN NaN \n", "\n", - " works_source \\\n", - "10000000 NaN \n", - "10000001 NaN \n", - "10000002 [jonathan mkrtchyan] \n", - "10000003 NaN \n", - "10000004 [multidisciplinary digital publishing institut... \n", + " employment \\\n", + "0000-0001-6097-3953 NaN \n", + "0000-0001-6112-5550 [[professor, peoples friendship university of ... \n", + "0000-0001-6152-2695 NaN \n", + "0000-0001-6220-5683 [[research scientist, new york university abu ... \n", + "0000-0001-7071-8294 [[researcher (academic), universidad de zarago... \n", "\n", - " activation_date last_update_date n_doi n_arxiv \\\n", - "10000000 2019-04-15t03:08:05.268z 2019-04-15t03:09:44.443z 0 0 \n", - "10000001 2019-03-17t20:31:23.753z 2019-03-17t20:33:50.316z 0 0 \n", - "10000002 2020-08-24t18:47:27.332z 2020-08-24t18:54:37.398z 1 0 \n", - "10000003 2018-05-03t09:34:25.613z 2018-05-10t13:05:09.297z 0 0 \n", - "10000004 2019-04-09t20:05:25.447z 2020-02-07t15:55:18.951z 2 0 \n", + " n_works works_source activation_date \\\n", + "0000-0001-6097-3953 0 NaN 2018-03-02t09:29:16.528z \n", + "0000-0001-6112-5550 0 NaN 2018-04-03t07:50:23.358z \n", + "0000-0001-6152-2695 0 NaN 2019-12-11t15:31:56.388z \n", + "0000-0001-6220-5683 0 NaN 2015-08-18t12:36:45.307z \n", + "0000-0001-7071-8294 0 NaN 2014-03-10t13:22:01.966z \n", "\n", - " n_pmc n_other_pids label \n", - "10000000 0 0 0 \n", - "10000001 0 0 0 \n", - "10000002 0 2 1 \n", - "10000003 0 0 0 \n", - "10000004 0 1 1 \n", + " last_update_date n_doi n_arxiv n_pmc \\\n", + "0000-0001-6097-3953 2018-03-02t09:43:07.551z 0 0 0 \n", + "0000-0001-6112-5550 2020-03-18t09:42:44.753z 0 0 0 \n", + "0000-0001-6152-2695 2020-01-28t15:34:17.309z 0 0 0 \n", + "0000-0001-6220-5683 2020-09-23t13:37:54.180z 0 0 0 \n", + "0000-0001-7071-8294 2016-06-14t22:17:54.470z 0 0 0 \n", "\n", - "[5 rows x 24 columns]" + " n_other_pids label primary_email_domain \\\n", + "0000-0001-6097-3953 0 0 NaN \n", + "0000-0001-6112-5550 0 0 NaN \n", + "0000-0001-6152-2695 0 0 NaN \n", + "0000-0001-6220-5683 0 0 NaN \n", + "0000-0001-7071-8294 0 0 NaN \n", + "\n", + " other_email_domains url_domains n_emails n_urls n_ids \\\n", + "0000-0001-6097-3953 NaN NaN NaN NaN NaN \n", + "0000-0001-6112-5550 NaN NaN NaN NaN NaN \n", + "0000-0001-6152-2695 NaN NaN NaN NaN NaN \n", + "0000-0001-6220-5683 NaN NaN NaN NaN NaN \n", + "0000-0001-7071-8294 NaN NaN NaN NaN NaN \n", + "\n", + " n_keywords n_education n_employment \n", + "0000-0001-6097-3953 NaN NaN NaN \n", + "0000-0001-6112-5550 NaN NaN 1.0 \n", + "0000-0001-6152-2695 NaN NaN NaN \n", + "0000-0001-6220-5683 NaN NaN 1.0 \n", + "0000-0001-7071-8294 NaN NaN 2.0 " ] }, "execution_count": 5, @@ -370,7 +447,8 @@ ], "source": [ "parts = glob.glob('../data/processed/dataset.pkl.*')\n", - "df = pd.concat((pd.read_pickle(part) for part in parts))\n", + "\n", + "df = pd.concat((pd.read_pickle(part) for part in sorted(parts)))\n", "df.head(5)" ] }, @@ -408,16 +486,16 @@ " \n", " \n", " orcid\n", - " claimed\n", " verified_email\n", " verified_primary_email\n", " given_names\n", " family_name\n", " biography\n", " other_names\n", - " urls\n", " primary_email\n", - " ...\n", + " keywords\n", + " external_ids\n", + " education\n", " employment\n", " n_works\n", " works_source\n", @@ -428,67 +506,26 @@ " n_pmc\n", " n_other_pids\n", " label\n", + " primary_email_domain\n", + " other_email_domains\n", + " url_domains\n", + " n_emails\n", + " n_urls\n", + " n_ids\n", + " n_keywords\n", + " n_education\n", + " n_employment\n", " \n", " \n", " \n", - " \n", - " 1575869\n", - " 0000-0002-5193-7851\n", - " 1\n", - " 1\n", - " 1\n", - " andrea\n", - " mannocci\n", - " data scientist & researcher; scholarly knowled...\n", - " NaN\n", - " [[personal website, https://andremann.github.i...\n", - " andrea.mannocci@isti.cnr.it\n", - " ...\n", - " [[research associate, istituto di scienza e te...\n", - " 37\n", - " [scopus - elsevier, crossref metadata search, ...\n", - " 2017-09-12t14:28:33.467z\n", - " 2021-03-09t08:32:47.840z\n", - " 34\n", - " 0\n", - " 0\n", - " 60\n", - " 1\n", - " \n", " \n", "\n", - "

1 rows × 24 columns

\n", "" ], "text/plain": [ - " orcid claimed verified_email verified_primary_email \\\n", - "1575869 0000-0002-5193-7851 1 1 1 \n", - "\n", - " given_names family_name \\\n", - "1575869 andrea mannocci \n", - "\n", - " biography other_names \\\n", - "1575869 data scientist & researcher; scholarly knowled... NaN \n", - "\n", - " urls \\\n", - "1575869 [[personal website, https://andremann.github.i... \n", - "\n", - " primary_email ... \\\n", - "1575869 andrea.mannocci@isti.cnr.it ... \n", - "\n", - " employment n_works \\\n", - "1575869 [[research associate, istituto di scienza e te... 37 \n", - "\n", - " works_source \\\n", - "1575869 [scopus - elsevier, crossref metadata search, ... \n", - "\n", - " activation_date last_update_date n_doi n_arxiv \\\n", - "1575869 2017-09-12t14:28:33.467z 2021-03-09t08:32:47.840z 34 0 \n", - "\n", - " n_pmc n_other_pids label \n", - "1575869 0 60 1 \n", - "\n", - "[1 rows x 24 columns]" + "Empty DataFrame\n", + "Columns: [orcid, verified_email, verified_primary_email, given_names, family_name, biography, other_names, primary_email, keywords, external_ids, education, employment, n_works, works_source, activation_date, last_update_date, n_doi, n_arxiv, n_pmc, n_other_pids, label, primary_email_domain, other_email_domains, url_domains, n_emails, n_urls, n_ids, n_keywords, n_education, n_employment]\n", + "Index: []" ] }, "execution_count": 6, @@ -527,16 +564,16 @@ " \n", " \n", " orcid\n", - " claimed\n", " verified_email\n", " verified_primary_email\n", " given_names\n", " family_name\n", " biography\n", " other_names\n", - " urls\n", " primary_email\n", - " ...\n", + " keywords\n", + " external_ids\n", + " education\n", " employment\n", " n_works\n", " works_source\n", @@ -547,55 +584,26 @@ " n_pmc\n", " n_other_pids\n", " label\n", + " primary_email_domain\n", + " other_email_domains\n", + " url_domains\n", + " n_emails\n", + " n_urls\n", + " n_ids\n", + " n_keywords\n", + " n_education\n", + " n_employment\n", " \n", " \n", " \n", - " \n", - " 6819986\n", - " 0000-0001-6997-9470\n", - " 1\n", - " 1\n", - " 1\n", - " other\n", - " whatsapp\n", - " NaN\n", - " NaN\n", - " [[otherwhatsapp, https://otherwhatsapp.com/], ...\n", - " NaN\n", - " ...\n", - " NaN\n", - " 0\n", - " NaN\n", - " 2020-10-07t10:37:12.237z\n", - " 2020-10-08t02:32:03.935z\n", - " 0\n", - " 0\n", - " 0\n", - " 0\n", - " 0\n", - " \n", " \n", "\n", - "

1 rows × 24 columns

\n", "" ], "text/plain": [ - " orcid claimed verified_email verified_primary_email \\\n", - "6819986 0000-0001-6997-9470 1 1 1 \n", - "\n", - " given_names family_name biography other_names \\\n", - "6819986 other whatsapp NaN NaN \n", - "\n", - " urls primary_email ... \\\n", - "6819986 [[otherwhatsapp, https://otherwhatsapp.com/], ... NaN ... \n", - "\n", - " employment n_works works_source activation_date \\\n", - "6819986 NaN 0 NaN 2020-10-07t10:37:12.237z \n", - "\n", - " last_update_date n_doi n_arxiv n_pmc n_other_pids label \n", - "6819986 2020-10-08t02:32:03.935z 0 0 0 0 0 \n", - "\n", - "[1 rows x 24 columns]" + "Empty DataFrame\n", + "Columns: [orcid, verified_email, verified_primary_email, given_names, family_name, biography, other_names, primary_email, keywords, external_ids, education, employment, n_works, works_source, activation_date, last_update_date, n_doi, n_arxiv, n_pmc, n_other_pids, label, primary_email_domain, other_email_domains, url_domains, n_emails, n_urls, n_ids, n_keywords, n_education, n_employment]\n", + "Index: []" ] }, "execution_count": 7, @@ -609,18 +617,80 @@ }, { "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], + "execution_count": 8, + "metadata": { + "scrolled": true + }, + "outputs": [ + { + "data": { + "text/plain": [ + "orcid 10916574\n", + "verified_email 10916574\n", + "verified_primary_email 10916574\n", + "given_names 10886150\n", + "family_name 10601571\n", + "biography 348649\n", + "other_names 551482\n", + "primary_email 123851\n", + "keywords 646400\n", + "external_ids 1301959\n", + "education 2430233\n", + "employment 2665092\n", + "n_works 10916574\n", + "works_source 2721431\n", + "activation_date 10916574\n", + "last_update_date 10916574\n", + "n_doi 10916574\n", + "n_arxiv 10916574\n", + "n_pmc 10916574\n", + "n_other_pids 10916574\n", + "label 10916574\n", + "primary_email_domain 123851\n", + "other_email_domains 48306\n", + "url_domains 707687\n", + "n_emails 48306\n", + "n_urls 707687\n", + "n_ids 1301959\n", + "n_keywords 646400\n", + "n_education 2430233\n", + "n_employment 2665092\n", + "dtype: int64" + ] + }, + "execution_count": 8, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ "df.count() #10916574" ] }, { "cell_type": "code", - "execution_count": null, + "execution_count": 9, "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "text/plain": [ + "count 10916574.0\n", + "mean 1.0\n", + "std 0.0\n", + "min 1.0\n", + "25% 1.0\n", + "50% 1.0\n", + "75% 1.0\n", + "max 1.0\n", + "Name: orcid, dtype: float64" + ] + }, + "execution_count": 9, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ "df['orcid'].describe()" ] @@ -634,9 +704,24 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 10, "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "text/plain": [ + "count 123851\n", + "unique 123848\n", + "top maykin@owasp.org\n", + "freq 2\n", + "Name: primary_email, dtype: object" + ] + }, + "execution_count": 10, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ "df['primary_email'].describe()" ] @@ -650,63 +735,693 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 11, "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "text/plain": [ + "0000-0003-0033-0918 opercin@erbakan.edu.tr\n", + "0000-0002-8774-0030 patrick.davey@monash.edu\n", + "0000-0001-9855-1676 maykin@owasp.org\n", + "Name: primary_email, dtype: object" + ] + }, + "execution_count": 11, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ "df['primary_email'].dropna().loc[df['primary_email'].duplicated()]" ] }, { "cell_type": "code", - "execution_count": null, + "execution_count": 12, "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "text/html": [ + "
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.............................................................................................
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0111nurulmalahayatigoogle scholarNaNNaNNaN[[researcherid, q-3861-2017]][[civil and transportation engineering , maste...[[senior lecturer, universitas syiah kuala, ba...6nurul malahayati2017-10-01t00:46:31.324z2019-08-19t15:52:47.253z30030NaNNaN[google.com, ristekdikti.go.id, unsyiah.ac.id,...NaN16.01.0NaN2.01.0
1111carlosbarreraim individual inventor, and this is my work; s...[retrodynamic, novelinflow]NaN[gearturbine, mechanical, power, innovation, t...[[loop profile, 394457]]NaNNaN1carlos barrera2016-08-29t20:32:10.362z2021-02-09t04:56:35.554z00000NaNNaN[blogspot.mx, behance.net, authorstream.com, d...NaN24.01.08.0NaNNaN
2111nuriahernández-leónNaN[nuria h. león, nuria hernández león, hernánde...NaN[marketing, research, human resources, busines...NaN[[, course: social skills, university of salam...[[merchandise reception and expedition trainer...11nuria hernández-león2015-11-28t07:18:58.442z2021-03-05t16:37:47.403z10040NaNNaN[feriaempresamujer.com, escueladenegociosydire...NaN16.0NaN7.019.016.0
3111mohd nazriismailborn in penang, malaysia in 1971, dr. mohd had...[ndum (national defence university of malaysia)]NaN[network communication, manet, wsn, network se...[[scopus author id, 24372977800], [researcheri...NaN[[lecturer, universiti pertahanan nasional mal...35scopus - elsevier2016-09-06t02:25:52.974z2020-10-20t06:55:55.051z2400350NaNNaN[google.com.my, researchgate.net, academia.edu...NaN16.02.010.0NaN4.0
4111clarasarmentoclara sarmento holds an aggregation in cultura...NaNNaN[ethnography, tourism and business, anglo-amer...[[ciência id, d418-d6f8-7d49]][[ao abrigo da bolsa santander ie best practic...[[presidente da comissão de acreditação do nov...275clara sarmento2013-12-12t00:33:58.190z2020-10-12t14:43:00.749z1700600NaNNaN[iscap.pt, google.pt, academia.edu, researchga...NaN13.01.06.08.037.0
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136111jesúsportillo-fernándezba in philosophy, ba in humanities, ph.d. in p...[jesús portillo fernández, portillo-fernández,...NaN[absurdo, lingüística, pragmática, filosofía d...[[scopus author id, 55229372800]][[, doctor en filología, universidad de sevill...[[, grupo de investigación en lógica, lenguaje...35jesús portillo-fernández2015-03-08t20:37:16.590z2021-03-12t22:05:28.976z00000NaNNaN[us.es, us.es, us.es, google.es, microsoft.com...NaN12.01.05.05.01.0
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139111caroline wanjirukariukicaroline holds a phd in economics from curtin ...NaNNaN[applied economics, financial economics, appli...NaN[[economics, doctor of philosophy , curtin uni...[[director, educational development, strathmor...4caroline wanjiru kariuki2020-03-18t10:18:04.007z2021-02-11t14:40:38.515z10000NaNNaN[scopus.com, mendeley.com, publons.com, resear...NaN13.0NaN4.03.06.0
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2111nuriahernández-leónNaN[nuria h. león, nuria hernández león, hernánde...NaN[marketing, research, human resources, busines...NaN[[, course: social skills, university of salam...[[merchandise reception and expedition trainer...11nuria hernández-león2015-11-28t07:18:58.442z2021-03-05t16:37:47.403z10040NaNNaN[feriaempresamujer.com, escueladenegociosydire...NaN16.0NaN7.019.016.0
4111clarasarmentoclara sarmento holds an aggregation in cultura...NaNNaN[ethnography, tourism and business, anglo-amer...[[ciência id, d418-d6f8-7d49]][[ao abrigo da bolsa santander ie best practic...[[presidente da comissão de acreditação do nov...275clara sarmento2013-12-12t00:33:58.190z2020-10-12t14:43:00.749z1700600NaNNaN[iscap.pt, google.pt, academia.edu, researchga...NaN13.01.06.08.037.0
5111micheledantinimichele dantini (ph. d) is professor of histor...NaNNaN[contemporary art, art theory, postcolonial, h...NaNNaN[[, università per stranieri di perugia, perug...6michele dantini2014-02-22t17:01:43.444z2019-11-25t20:21:04.714z00000NaNNaN[unipmn.it, huffingtonpost.it, roars.it, doppi...NaN15.0NaN6.0NaN1.0
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139111caroline wanjirukariukicaroline holds a phd in economics from curtin ...NaNNaN[applied economics, financial economics, appli...NaN[[economics, doctor of philosophy , curtin uni...[[director, educational development, strathmor...4caroline wanjiru kariuki2020-03-18t10:18:04.007z2021-02-11t14:40:38.515z10000NaNNaN[scopus.com, mendeley.com, publons.com, resear...NaN13.0NaN4.03.06.0
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The following instead is dirty" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "df[df['orcid'] == PP]['keywords'].values[0]" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "So the keyword field needs some cleaning" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "def fix_keywords(lst):\n", - " fixed = set()\n", - " for k in lst:\n", - " tokens = set(k.split(','))\n", - " for t in tokens:\n", - " fixed.add(str.strip(t))\n", - " fixed.discard('')\n", - " return list(fixed)" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "df['fixed_keywords'] = df[df.keywords.notna()]['keywords'].apply(lambda x: fix_keywords(x))" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "df[df['orcid'] == 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orcidverified_emailverified_primary_emailgiven_namesfamily_namebiographyother_namesprimary_emailkeywordsexternal_idseducationemploymentn_worksworks_sourceactivation_datelast_update_daten_doin_arxivn_pmcn_other_pidslabelprimary_email_domainother_email_domainsurl_domainsn_emailsn_urlsn_idsn_keywordsn_educationn_employmentspam_score
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