Overview

Dataset statistics

Number of variables3
Number of observations95
Missing cells0
Missing cells (%)0.0%
Total size in memory2.4 KiB
Average record size in memory25.3 B

Variable types

Categorical3

Alerts

nid has a high cardinality: 95 distinct valuesHigh cardinality
info has a high cardinality: 95 distinct valuesHigh cardinality
title has a high cardinality: 95 distinct valuesHigh cardinality
nid has unique valuesUnique
info has unique valuesUnique
title has unique valuesUnique

Reproduction

Analysis started2023-05-04 15:12:46.222785
Analysis finished2023-05-04 15:12:46.235907
Duration0.01 seconds
Software versionydata-profiling vv4.1.2
Download configurationconfig.json

Variables

nid
Categorical

HIGH CARDINALITY  UNIQUE 

Distinct95
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size888.0 B
nep-acc
 
1
nep-lab
 
1
nep-mon
 
1
nep-mkt
 
1
nep-mig
 
1
Other values (90)
90 

Unique

Unique95 ?
Unique (%)100.0%

Sample

1st rownep-acc
2nd rownep-afr
3rd rownep-age
4th rownep-agr
5th rownep-ara

Common Values

ValueCountFrequency (%)
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
89.5%

info
Categorical

HIGH CARDINALITY  UNIQUE 

Distinct95
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size888.0 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)
90 

Unique

Unique95 ?
Unique (%)100.0%

Sample

1st rowAlexander Harin, Modern University for the Humanities, Russia, 543 signed up, econtwitter
2nd rowSam Sarpong, Xiamen University Malaysia Campus, Malaysia, 524 signed up, econtwitter
3rd rowClaudia Villosio, LABORatorio R. Revelli, Italy, 566 signed up, econtwitter
4th rowAngelo Zago, Università degli Studi di Verona, Italy, 844 signed up, econtwitter
5th rowPaul Makdissi, Université d’Ottawa, Canada, 218 signed up, econtwitter

Common Values

ValueCountFrequency (%)
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
89.5%

title
Categorical

HIGH CARDINALITY  UNIQUE 

Distinct95
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size888.0 B
Accounting and Auditing
 
1
Labour Economics
 
1
Monetary Economics
 
1
Marketing
 
1
Economics of Human Migration
 
1
Other values (90)
90 

Unique

Unique95 ?
Unique (%)100.0%

Sample

1st rowAccounting and Auditing
2nd rowAfrica
3rd rowEconomics of Ageing
4th rowAgricultural Economics
5th rowMENA - Middle East and North Africa

Common Values

ValueCountFrequency (%)
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
89.5%