Dataset statistics
Number of variables | 3 |
---|---|
Number of observations | 95 |
Missing cells | 0 |
Missing cells (%) | 0.0% |
Total size in memory | 2.4 KiB |
Average record size in memory | 25.3 B |
Variable types
Categorical | 3 |
---|
Reproduction
Analysis started | 2023-05-04 15:12:46.222785 |
---|---|
Analysis finished | 2023-05-04 15:12:46.235907 |
Duration | 0.01 seconds |
Software version | ydata-profiling vv4.1.2 |
Download configuration | config.json |
nid
Categorical
HIGH CARDINALITY
UNIQUE
Distinct | 95 |
---|---|
Distinct (%) | 100.0% |
Missing | 0 |
Missing (%) | 0.0% |
Memory size | 888.0 B |
nep-acc | 1 |
---|---|
nep-lab | 1 |
nep-mon | 1 |
nep-mkt | 1 |
nep-mig | 1 |
Other values (90) |
Unique
Unique | 95 ? |
---|---|
Unique (%) | 100.0% |
Sample
1st row | nep-acc |
---|---|
2nd row | nep-afr |
3rd row | nep-age |
4th row | nep-agr |
5th row | nep-ara |
Common Values
Value | Count | Frequency (%) |
nep-acc | 1 | 1.1% |
nep-lab | 1 | 1.1% |
nep-mon | 1 | 1.1% |
nep-mkt | 1 | 1.1% |
nep-mig | 1 | 1.1% |
nep-mic | 1 | 1.1% |
nep-mfd | 1 | 1.1% |
nep-ltv | 1 | 1.1% |
nep-lma | 1 | 1.1% |
nep-law | 1 | 1.1% |
Other values (85) | 85 |
info
Categorical
HIGH CARDINALITY
UNIQUE
Distinct | 95 |
---|---|
Distinct (%) | 100.0% |
Missing | 0 |
Missing (%) | 0.0% |
Memory size | 888.0 B |
Alexander Harin, Modern University for the Humanities, Russia, 543 signed up, econtwitter | 1 |
---|---|
Joseph Marchand, University of Alberta, Canada, 1448 signed up, econtwitter | 1 |
Bernd Hayo, Philipps-Universität Marburg, Germany, 1137 signed up, econtwitter | 1 |
Marco Novarese, Università del Piemonte Orientale, Italy, 331 signed up, econtwitter | 1 |
Yuji Tamura, La Trobe University, Australia, 491 signed up, econtwitter | 1 |
Other values (90) |
Unique
Unique | 95 ? |
---|---|
Unique (%) | 100.0% |
Sample
1st row | Alexander Harin, Modern University for the Humanities, Russia, 543 signed up, econtwitter |
---|---|
2nd row | Sam Sarpong, Xiamen University Malaysia Campus, Malaysia, 524 signed up, econtwitter |
3rd row | Claudia Villosio, LABORatorio R. Revelli, Italy, 566 signed up, econtwitter |
4th row | Angelo Zago, Università degli Studi di Verona, Italy, 844 signed up, econtwitter |
5th row | Paul Makdissi, Université d’Ottawa, Canada, 218 signed up, econtwitter |
Common Values
Value | Count | Frequency (%) |
Alexander Harin, Modern University for the Humanities, Russia, 543 signed up, econtwitter | 1 | 1.1% |
Joseph Marchand, University of Alberta, Canada, 1448 signed up, econtwitter | 1 | 1.1% |
Bernd Hayo, Philipps-Universität Marburg, Germany, 1137 signed up, econtwitter | 1 | 1.1% |
Marco Novarese, Università del Piemonte Orientale, Italy, 331 signed up, econtwitter | 1 | 1.1% |
Yuji Tamura, La Trobe University, Australia, 491 signed up, econtwitter | 1 | 1.1% |
Jing-Yuan Chiou, National Taipei University, Taiwan, 850 signed up, econtwitter | 1 | 1.1% |
Rachita Gulati, IIT Roorkee, India, 403 signed up, econtwitter | 1 | 1.1% |
Inequality and Poverty, Maximo Rossi, Universidad de la República, Uruguay, 2184 signed up, econtwitter | 1 | 1.1% |
Demand, and Wages, Joseph Marchand, University of Alberta, Canada, 508 signed up, econtwitter | 1 | 1.1% |
Eve-Angeline Lambert, Université de Lorraine, France, 651 signed up, econtwitter | 1 | 1.1% |
Other values (85) | 85 |
title
Categorical
HIGH CARDINALITY
UNIQUE
Distinct | 95 |
---|---|
Distinct (%) | 100.0% |
Missing | 0 |
Missing (%) | 0.0% |
Memory size | 888.0 B |
Accounting and Auditing | 1 |
---|---|
Labour Economics | 1 |
Monetary Economics | 1 |
Marketing | 1 |
Economics of Human Migration | 1 |
Other values (90) |
Unique
Unique | 95 ? |
---|---|
Unique (%) | 100.0% |
Sample
1st row | Accounting and Auditing |
---|---|
2nd row | Africa |
3rd row | Economics of Ageing |
4th row | Agricultural Economics |
5th row | MENA - Middle East and North Africa |
Common Values
Value | Count | Frequency (%) |
Accounting and Auditing | 1 | 1.1% |
Labour Economics | 1 | 1.1% |
Monetary Economics | 1 | 1.1% |
Marketing | 1 | 1.1% |
Economics of Human Migration | 1 | 1.1% |
Microeconomics | 1 | 1.1% |
Microfinance | 1 | 1.1% |
Unemployment | 1 | 1.1% |
Labor Markets - Supply | 1 | 1.1% |
Law and Economics | 1 | 1.1% |
Other values (85) | 85 |