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radvanyimome:utku_keyword_suggestion
radvanyimome:test

2 Commits
1e89b1d153 ... 566fb8f581

Author SHA1 Message Date
radvanyimome 566fb8f581 add html output of WOS analysis 2 years ago
radvanyimome cdeed2df20 general progress commit 2 years ago
3 changed files with 124134 additions and 21328 deletions
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21072
WOS/wos_analysis/wos_analyses.html
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124348
WOS/wos_analysis/wos_analyses.ipynb
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42
WOS/wos_univ_normalizer.ipynb
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@ -85,7 +85,7 @@
"application/vnd.jupyter.widget-view+json": {
"version_major": 2,
"version_minor": 0,
"model_id": "92c1cd6c14644ffeb042b38f5d5d98c5"
"model_id": "5f8bead5565146a5843c01b81b77cf9f"
}
},
"metadata": {},
@ -119,8 +119,8 @@
"outputs": [
{
"data": {
"text/plain": " UT (Unique WOS ID) Institution \n153271 WOS:000784587900008 Univ Pisa \\\n159800 WOS:000810042500002 China Japan Friendship Hosp \n130931 WOS:000691922800007 Karl Franzens Univ Graz \n1500 WOS:000292944600012 CNR \n113964 WOS:000618210000032 Karolinska Univ Hosp \n... ... ... \n160284 WOS:000812227000009 Univ Appl Sci Upper Austria \n29314 WOS:000381396400013 Univ Southampton \n17045 WOS:000347046200017 Charles Univ Prague \n164118 WOS:000832954200001 Nanjing Univ Aeronaut & Astronaut \n109992 WOS:000604257500070 KTH Royal Inst Technol \n\n Country Institution_harm \n153271 Italy Univ Pisa \n159800 China China Japan Friendship Hosp \n130931 Austria Karl Franzens Univ Graz \n1500 Italy CNR \n113964 Sweden Karolinska Univ Hosp \n... ... ... \n160284 Austria Univ Appl Sci Upper Austria \n29314 United Kingdom Univ Southampton \n17045 Czech Republic Charles Univ Prague \n164118 China Nanjing Univ Aeronaut & Astronaut \n109992 Sweden Royal Inst Technol \n\n[100 rows x 4 columns]",
"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>UT (Unique WOS ID)</th>\n <th>Institution</th>\n <th>Country</th>\n <th>Institution_harm</th>\n </tr>\n </thead>\n <tbody>\n <tr>\n <th>153271</th>\n <td>WOS:000784587900008</td>\n <td>Univ Pisa</td>\n <td>Italy</td>\n <td>Univ Pisa</td>\n </tr>\n <tr>\n <th>159800</th>\n <td>WOS:000810042500002</td>\n <td>China Japan Friendship Hosp</td>\n <td>China</td>\n <td>China Japan Friendship Hosp</td>\n </tr>\n <tr>\n <th>130931</th>\n <td>WOS:000691922800007</td>\n <td>Karl Franzens Univ Graz</td>\n <td>Austria</td>\n <td>Karl Franzens Univ Graz</td>\n </tr>\n <tr>\n <th>1500</th>\n <td>WOS:000292944600012</td>\n <td>CNR</td>\n <td>Italy</td>\n <td>CNR</td>\n </tr>\n <tr>\n <th>113964</th>\n <td>WOS:000618210000032</td>\n <td>Karolinska Univ Hosp</td>\n <td>Sweden</td>\n <td>Karolinska Univ Hosp</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>160284</th>\n <td>WOS:000812227000009</td>\n <td>Univ Appl Sci Upper Austria</td>\n <td>Austria</td>\n <td>Univ Appl Sci Upper Austria</td>\n </tr>\n <tr>\n <th>29314</th>\n <td>WOS:000381396400013</td>\n <td>Univ Southampton</td>\n <td>United Kingdom</td>\n <td>Univ Southampton</td>\n </tr>\n <tr>\n <th>17045</th>\n <td>WOS:000347046200017</td>\n <td>Charles Univ Prague</td>\n <td>Czech Republic</td>\n <td>Charles Univ Prague</td>\n </tr>\n <tr>\n <th>164118</th>\n <td>WOS:000832954200001</td>\n <td>Nanjing Univ Aeronaut &amp; Astronaut</td>\n <td>China</td>\n <td>Nanjing Univ Aeronaut &amp; Astronaut</td>\n </tr>\n <tr>\n <th>109992</th>\n <td>WOS:000604257500070</td>\n <td>KTH Royal Inst Technol</td>\n <td>Sweden</td>\n <td>Royal Inst Technol</td>\n </tr>\n </tbody>\n</table>\n<p>100 rows × 4 columns</p>\n</div>"
"text/plain": " UT (Unique WOS ID) Institution \n149037 WOS:000764953300001 Univ Elect Sci & Technol China \\\n86834 WOS:000519526500027 Radboud Univ Nijmegen \n143915 WOS:000739917304088 Swiss Fed Inst Technol \n135117 WOS:000707680800001 North China Elect Power Univ Beijing \n110390 WOS:000605608700001 Imperial Coll London \n... ... ... \n21250 WOS:000358912300001 Jilin Univ \n23018 WOS:000364230600002 Tampere Univ Technol \n126847 WOS:000675855300001 Univ Copenhagen \n15313 WOS:000343701400001 Univ Siena \n77834 WOS:000490147400012 Tsinghua Univ \n\n Country Institution_harm \n149037 China Univ Elect Sci & Technol China \n86834 Netherlands Radboud Univ Nijmegen \n143915 Switzerland Swiss Fed Inst Technol \n135117 China North China Elect Power Univ Beijing \n110390 United Kingdom Imperial Coll London \n... ... ... \n21250 China Jilin Univ \n23018 Finland Tampere Univ Technol \n126847 Denmark Univ Copenhagen \n15313 Italy Univ Siena \n77834 China Tsinghua Univ \n\n[100 rows x 4 columns]",
"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>UT (Unique WOS ID)</th>\n <th>Institution</th>\n <th>Country</th>\n <th>Institution_harm</th>\n </tr>\n </thead>\n <tbody>\n <tr>\n <th>149037</th>\n <td>WOS:000764953300001</td>\n <td>Univ Elect Sci &amp; Technol China</td>\n <td>China</td>\n <td>Univ Elect Sci &amp; Technol China</td>\n </tr>\n <tr>\n <th>86834</th>\n <td>WOS:000519526500027</td>\n <td>Radboud Univ Nijmegen</td>\n <td>Netherlands</td>\n <td>Radboud Univ Nijmegen</td>\n </tr>\n <tr>\n <th>143915</th>\n <td>WOS:000739917304088</td>\n <td>Swiss Fed Inst Technol</td>\n <td>Switzerland</td>\n <td>Swiss Fed Inst Technol</td>\n </tr>\n <tr>\n <th>135117</th>\n <td>WOS:000707680800001</td>\n <td>North China Elect Power Univ Beijing</td>\n <td>China</td>\n <td>North China Elect Power Univ Beijing</td>\n </tr>\n <tr>\n <th>110390</th>\n <td>WOS:000605608700001</td>\n <td>Imperial Coll London</td>\n <td>United Kingdom</td>\n <td>Imperial Coll London</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>21250</th>\n <td>WOS:000358912300001</td>\n <td>Jilin Univ</td>\n <td>China</td>\n <td>Jilin Univ</td>\n </tr>\n <tr>\n <th>23018</th>\n <td>WOS:000364230600002</td>\n <td>Tampere Univ Technol</td>\n <td>Finland</td>\n <td>Tampere Univ Technol</td>\n </tr>\n <tr>\n <th>126847</th>\n <td>WOS:000675855300001</td>\n <td>Univ Copenhagen</td>\n <td>Denmark</td>\n <td>Univ Copenhagen</td>\n </tr>\n <tr>\n <th>15313</th>\n <td>WOS:000343701400001</td>\n <td>Univ Siena</td>\n <td>Italy</td>\n <td>Univ Siena</td>\n </tr>\n <tr>\n <th>77834</th>\n <td>WOS:000490147400012</td>\n <td>Tsinghua Univ</td>\n <td>China</td>\n <td>Tsinghua Univ</td>\n </tr>\n </tbody>\n</table>\n<p>100 rows × 4 columns</p>\n</div>"
},
"execution_count": 5,
"metadata": {},
@ -140,8 +140,8 @@
"outputs": [
{
"data": {
"text/plain": " Country Institution_harm count\n8168 Croatia Inst Adriat Crops & Karst Reclamat 1\n3417 China Ctr Eye & Vis Res 1\n1034 China Westlake Inst Adv Study 13\n13427 Italy Macerata Hosp 1\n8071 China Key Lab Ecoind Green Technol Fujian Prov 1\n... ... ... ...\n17230 United Kingdom Univ Kingston 6\n8847 France Univ Artois 8\n16071 Spain Catalonia Geriatr & Gerontol Soc 1\n6357 China Wuxi Huace Elect Syst Co Ltd 1\n9049 France Excelia Business Sch 3\n\n[100 rows x 3 columns]",
"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>Country</th>\n <th>Institution_harm</th>\n <th>count</th>\n </tr>\n </thead>\n <tbody>\n <tr>\n <th>8168</th>\n <td>Croatia</td>\n <td>Inst Adriat Crops &amp; Karst Reclamat</td>\n <td>1</td>\n </tr>\n <tr>\n <th>3417</th>\n <td>China</td>\n <td>Ctr Eye &amp; Vis Res</td>\n <td>1</td>\n </tr>\n <tr>\n <th>1034</th>\n <td>China</td>\n <td>Westlake Inst Adv Study</td>\n <td>13</td>\n </tr>\n <tr>\n <th>13427</th>\n <td>Italy</td>\n <td>Macerata Hosp</td>\n <td>1</td>\n </tr>\n <tr>\n <th>8071</th>\n <td>China</td>\n <td>Key Lab Ecoind Green Technol Fujian Prov</td>\n <td>1</td>\n </tr>\n <tr>\n <th>...</th>\n <td>...</td>\n <td>...</td>\n <td>...</td>\n </tr>\n <tr>\n <th>17230</th>\n <td>United Kingdom</td>\n <td>Univ Kingston</td>\n <td>6</td>\n </tr>\n <tr>\n <th>8847</th>\n <td>France</td>\n <td>Univ Artois</td>\n <td>8</td>\n </tr>\n <tr>\n <th>16071</th>\n <td>Spain</td>\n <td>Catalonia Geriatr &amp; Gerontol Soc</td>\n <td>1</td>\n </tr>\n <tr>\n <th>6357</th>\n <td>China</td>\n <td>Wuxi Huace Elect Syst Co Ltd</td>\n <td>1</td>\n </tr>\n <tr>\n <th>9049</th>\n <td>France</td>\n <td>Excelia Business Sch</td>\n <td>3</td>\n </tr>\n </tbody>\n</table>\n<p>100 rows × 3 columns</p>\n</div>"
"text/plain": " Country Institution_harm \n496 Belgium Haute Ecole Louvain Hainaut \\\n10566 Germany IQM \n6670 China Tiantan Hosp \n16974 Switzerland Species Survival Commiss Mushroom Bracket & \n9200 France Hop Hotel Dieu Paris \n... ... ... \n11326 Germany Int Max Planck Res Sch Earth Syst Modeling \n2874 China China Natl Nucl Corp 416 Hosp \n17967 United Kingdom AccelerComm Ltd \n14041 Netherlands Vankeulen Advies \n4148 China First Peoples Hosp Jingmen Affiliated Hubei Minzu \n\n count \n496 1 \n10566 4 \n6670 1 \n16974 1 \n9200 2 \n... ... \n11326 1 \n2874 2 \n17967 1 \n14041 1 \n4148 1 \n\n[100 rows x 3 columns]",
"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>Country</th>\n <th>Institution_harm</th>\n <th>count</th>\n </tr>\n </thead>\n <tbody>\n <tr>\n <th>496</th>\n <td>Belgium</td>\n <td>Haute Ecole Louvain Hainaut</td>\n <td>1</td>\n </tr>\n <tr>\n <th>10566</th>\n <td>Germany</td>\n <td>IQM</td>\n <td>4</td>\n </tr>\n <tr>\n <th>6670</th>\n <td>China</td>\n <td>Tiantan Hosp</td>\n <td>1</td>\n </tr>\n <tr>\n <th>16974</th>\n <td>Switzerland</td>\n <td>Species Survival Commiss Mushroom Bracket &amp;</td>\n <td>1</td>\n </tr>\n <tr>\n <th>9200</th>\n <td>France</td>\n <td>Hop Hotel Dieu Paris</td>\n <td>2</td>\n </tr>\n <tr>\n <th>...</th>\n <td>...</td>\n <td>...</td>\n <td>...</td>\n </tr>\n <tr>\n <th>11326</th>\n <td>Germany</td>\n <td>Int Max Planck Res Sch Earth Syst Modeling</td>\n <td>1</td>\n </tr>\n <tr>\n <th>2874</th>\n <td>China</td>\n <td>China Natl Nucl Corp 416 Hosp</td>\n <td>2</td>\n </tr>\n <tr>\n <th>17967</th>\n <td>United Kingdom</td>\n <td>AccelerComm Ltd</td>\n <td>1</td>\n </tr>\n <tr>\n <th>14041</th>\n <td>Netherlands</td>\n <td>Vankeulen Advies</td>\n <td>1</td>\n </tr>\n <tr>\n <th>4148</th>\n <td>China</td>\n <td>First Peoples Hosp Jingmen Affiliated Hubei Minzu</td>\n <td>1</td>\n </tr>\n </tbody>\n</table>\n<p>100 rows × 3 columns</p>\n</div>"
},
"execution_count": 6,
"metadata": {},
@ -282,7 +282,7 @@
"name": "stderr",
"output_type": "stream",
"text": [
"100%|██████████| 31/31 [00:00<00:00, 31.97it/s]\n"
"100%|██████████| 31/31 [00:01<00:00, 27.86it/s]\n"
]
}
],
@ -347,7 +347,7 @@
"name": "stderr",
"output_type": "stream",
"text": [
"1916it [01:11, 26.94it/s]\n"
"1916it [01:14, 25.70it/s]\n"
]
}
],
@ -432,14 +432,14 @@
},
{
"cell_type": "code",
"execution_count": 16,
"execution_count": 15,
"outputs": [
{
"data": {
"text/plain": " UT (Unique WOS ID) Institution Country \n49282 WOS:000428099700011 Univ Sheffield United Kingdom \\\n51975 WOS:000432981300002 Chinese Acad Sci China \n64618 WOS:000459693000011 Babes Bolyai Univ Romania \n163145 WOS:000828102100001 Xidian Univ China \n99690 WOS:000566510600001 Fora Forest Technol Spain \n... ... ... ... \n1567 WOS:000293492500004 Univ Essex United Kingdom \n73076 WOS:000476471800022 Shanghai Univ China \n137096 WOS:000715426400001 Queen Mary Hosp China \n164978 WOS:000836819000003 Manchester Metropolitan Univ United Kingdom \n32973 WOS:000390181300013 Univ Complutense Madrid Spain \n\n Institution_harm merge_iter \n49282 Univ Sheffield 0 \n51975 Chinese Acad Sci 0 \n64618 Babes Bolyai Univ 0 \n163145 Xidian Univ 0 \n99690 Fora Forest Technol 0 \n... ... ... \n1567 Univ Essex 0 \n73076 Shanghai Univ 0 \n137096 Queen Mary Hosp 0 \n164978 Manchester Metropolitan Univ 0 \n32973 Univ Complutense Madrid 0 \n\n[500 rows x 5 columns]",
"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>UT (Unique WOS ID)</th>\n <th>Institution</th>\n <th>Country</th>\n <th>Institution_harm</th>\n <th>merge_iter</th>\n </tr>\n </thead>\n <tbody>\n <tr>\n <th>49282</th>\n <td>WOS:000428099700011</td>\n <td>Univ Sheffield</td>\n <td>United Kingdom</td>\n <td>Univ Sheffield</td>\n <td>0</td>\n </tr>\n <tr>\n <th>51975</th>\n <td>WOS:000432981300002</td>\n <td>Chinese Acad Sci</td>\n <td>China</td>\n <td>Chinese Acad Sci</td>\n <td>0</td>\n </tr>\n <tr>\n <th>64618</th>\n <td>WOS:000459693000011</td>\n <td>Babes Bolyai Univ</td>\n <td>Romania</td>\n <td>Babes Bolyai Univ</td>\n <td>0</td>\n </tr>\n <tr>\n <th>163145</th>\n <td>WOS:000828102100001</td>\n <td>Xidian Univ</td>\n <td>China</td>\n <td>Xidian Univ</td>\n <td>0</td>\n </tr>\n <tr>\n <th>99690</th>\n <td>WOS:000566510600001</td>\n <td>Fora Forest Technol</td>\n <td>Spain</td>\n <td>Fora Forest Technol</td>\n <td>0</td>\n </tr>\n <tr>\n <th>...</th>\n <td>...</td>\n <td>...</td>\n <td>...</td>\n <td>...</td>\n <td>...</td>\n </tr>\n <tr>\n <th>1567</th>\n <td>WOS:000293492500004</td>\n <td>Univ Essex</td>\n <td>United Kingdom</td>\n <td>Univ Essex</td>\n <td>0</td>\n </tr>\n <tr>\n <th>73076</th>\n <td>WOS:000476471800022</td>\n <td>Shanghai Univ</td>\n <td>China</td>\n <td>Shanghai Univ</td>\n <td>0</td>\n </tr>\n <tr>\n <th>137096</th>\n <td>WOS:000715426400001</td>\n <td>Queen Mary Hosp</td>\n <td>China</td>\n <td>Queen Mary Hosp</td>\n <td>0</td>\n </tr>\n <tr>\n <th>164978</th>\n <td>WOS:000836819000003</td>\n <td>Manchester Metropolitan Univ</td>\n <td>United Kingdom</td>\n <td>Manchester Metropolitan Univ</td>\n <td>0</td>\n </tr>\n <tr>\n <th>32973</th>\n <td>WOS:000390181300013</td>\n <td>Univ Complutense Madrid</td>\n <td>Spain</td>\n <td>Univ Complutense Madrid</td>\n <td>0</td>\n </tr>\n </tbody>\n</table>\n<p>500 rows × 5 columns</p>\n</div>"
"text/plain": " UT (Unique WOS ID) Institution Country \n124019 WOS:000663304500011 Excellium Consulting United Kingdom \\\n126511 WOS:000674472400006 Tongji Univ China \n33359 WOS:000391252900006 Beihang Univ China \n153729 WOS:000787596500003 Fudan Univ China \n69317 WOS:000467564700105 Guangdong Univ Technol China \n... ... ... ... \n160384 WOS:000812531900012 Zhengzhou Univ China \n133501 WOS:000702637000007 Univ Luxembourg Luxembourg \n140349 WOS:000728149000027 Regina Montis Regalis Hosp Italy \n160632 WOS:000813959600003 Liyang Peoples Hosp China \n174735 WOS:000888555700002 Swiss Fed Inst Technol Switzerland \n\n Institution_harm merge_iter \n124019 Excellium Consulting 0 \n126511 Tongji Univ 0 \n33359 Beihang Univ 0 \n153729 Fudan Univ 0 \n69317 Guangdong Univ Technol 0 \n... ... ... \n160384 Zhengzhou Univ 0 \n133501 Univ Luxembourg 0 \n140349 Regina Montis Regalis Hosp 0 \n160632 Liyang Peoples Hosp 0 \n174735 Swiss Fed Inst Technol 0 \n\n[500 rows x 5 columns]",
"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>UT (Unique WOS ID)</th>\n <th>Institution</th>\n <th>Country</th>\n <th>Institution_harm</th>\n <th>merge_iter</th>\n </tr>\n </thead>\n <tbody>\n <tr>\n <th>124019</th>\n <td>WOS:000663304500011</td>\n <td>Excellium Consulting</td>\n <td>United Kingdom</td>\n <td>Excellium Consulting</td>\n <td>0</td>\n </tr>\n <tr>\n <th>126511</th>\n <td>WOS:000674472400006</td>\n <td>Tongji Univ</td>\n <td>China</td>\n <td>Tongji Univ</td>\n <td>0</td>\n </tr>\n <tr>\n <th>33359</th>\n <td>WOS:000391252900006</td>\n <td>Beihang Univ</td>\n <td>China</td>\n <td>Beihang Univ</td>\n <td>0</td>\n </tr>\n <tr>\n <th>153729</th>\n <td>WOS:000787596500003</td>\n <td>Fudan Univ</td>\n <td>China</td>\n <td>Fudan Univ</td>\n <td>0</td>\n </tr>\n <tr>\n <th>69317</th>\n <td>WOS:000467564700105</td>\n <td>Guangdong Univ Technol</td>\n <td>China</td>\n <td>Guangdong Univ Technol</td>\n <td>0</td>\n </tr>\n <tr>\n <th>...</th>\n <td>...</td>\n <td>...</td>\n <td>...</td>\n <td>...</td>\n <td>...</td>\n </tr>\n <tr>\n <th>160384</th>\n <td>WOS:000812531900012</td>\n <td>Zhengzhou Univ</td>\n <td>China</td>\n <td>Zhengzhou Univ</td>\n <td>0</td>\n </tr>\n <tr>\n <th>133501</th>\n <td>WOS:000702637000007</td>\n <td>Univ Luxembourg</td>\n <td>Luxembourg</td>\n <td>Univ Luxembourg</td>\n <td>0</td>\n </tr>\n <tr>\n <th>140349</th>\n <td>WOS:000728149000027</td>\n <td>Regina Montis Regalis Hosp</td>\n <td>Italy</td>\n <td>Regina Montis Regalis Hosp</td>\n <td>0</td>\n </tr>\n <tr>\n <th>160632</th>\n <td>WOS:000813959600003</td>\n <td>Liyang Peoples Hosp</td>\n <td>China</td>\n <td>Liyang Peoples Hosp</td>\n <td>0</td>\n </tr>\n <tr>\n <th>174735</th>\n <td>WOS:000888555700002</td>\n <td>Swiss Fed Inst Technol</td>\n <td>Switzerland</td>\n <td>Swiss Fed Inst Technol</td>\n <td>0</td>\n </tr>\n </tbody>\n</table>\n<p>500 rows × 5 columns</p>\n</div>"
},
"execution_count": 16,
"execution_count": 15,
"metadata": {},
"output_type": "execute_result"
}
@ -451,6 +451,26 @@
"collapsed": false
}
},
{
"cell_type": "code",
"execution_count": 17,
"outputs": [
{
"data": {
"text/plain": "merge_iter\n0 174128\n1 3966\n2 521\n3 22\n4 1\nName: count, dtype: int64"
},
"execution_count": 17,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"univ_harm[\"merge_iter\"].value_counts()"
],
"metadata": {
"collapsed": false
}
},
{
"cell_type": "code",
"execution_count": 15,

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