Overview

Dataset statistics

Number of variables3
Number of observations3230
Missing cells0
Missing cells (%)0.0%
Total size in memory75.8 KiB
Average record size in memory24.0 B

Variable types

Categorical3

Alerts

unit_id has a high cardinality: 3230 distinct valuesHigh cardinality
name has a high cardinality: 3223 distinct valuesHigh cardinality
level_info is highly imbalanced (92.7%)Imbalance
unit_id has unique valuesUnique

Reproduction

Analysis started2023-05-04 15:13:16.044790
Analysis finished2023-05-04 15:13:16.075802
Duration0.03 seconds
Software versionydata-profiling vv4.1.2
Download configurationconfig.json

Variables

unit_id
Categorical

HIGH CARDINALITY  UNIQUE 

Distinct3230
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size25.4 KiB
hun-region313509025f
 
1
hun-mainb7f1d2c0c9
 
1
hun-main3b8576a711
 
1
hun-main6d8b320c04
 
1
hun-main7e70de8e43
 
1
Other values (3225)
3225 

Unique

Unique3230 ?
Unique (%)100.0%

Sample

1st rowhun-region313509025f
2nd rowhun-regionfc808a644f
3rd rowhun-regiond8ddf70a43
4th rowhun-regiond44a6ca42c
5th rowhun-regionca12c5749e

Common Values

ValueCountFrequency (%)
hun-region313509025f 1
 
< 0.1%
hun-mainb7f1d2c0c9 1
 
< 0.1%
hun-main3b8576a711 1
 
< 0.1%
hun-main6d8b320c04 1
 
< 0.1%
hun-main7e70de8e43 1
 
< 0.1%
hun-main6fa79bd003 1
 
< 0.1%
hun-main43f2dbdc88 1
 
< 0.1%
hun-main80657ae465 1
 
< 0.1%
hun-main0589d8da98 1
 
< 0.1%
hun-main84457d355f 1
 
< 0.1%
Other values (3220) 3220
99.7%

level_info
Categorical

Distinct3
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size25.4 KiB
settlement
3187 
district
 
23
county
 
20

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowsettlement
2nd rowcounty
3rd rowcounty
4th rowcounty
5th rowcounty

Common Values

ValueCountFrequency (%)
settlement 3187
98.7%
district 23
 
0.7%
county 20
 
0.6%

Common Values (Plot)

2023-05-04T15:13:16.143065image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

name
Categorical

Distinct3223
Distinct (%)99.8%
Missing0
Missing (%)0.0%
Memory size25.4 KiB
HEVES
 
2
BÉKÉS
 
2
VESZPRÉM
 
2
TOLNA
 
2
NÓGRÁD
 
2
Other values (3218)
3220 

Unique

Unique3216 ?
Unique (%)99.6%

Sample

1st rowBUDAPEST
2nd rowBÉKÉS
3rd rowBORSOD-ABAÚJ-ZEMPLÉN
4th rowGYŐR-MOSON-SOPRON
5th rowBÁCS-KISKUN

Common Values

ValueCountFrequency (%)
HEVES 2
 
0.1%
BÉKÉS 2
 
0.1%
VESZPRÉM 2
 
0.1%
TOLNA 2
 
0.1%
NÓGRÁD 2
 
0.1%
CSONGRÁD 2
 
0.1%
ZALA 2
 
0.1%
BUDAPEST 1
 
< 0.1%
GYULAKESZI 1
 
< 0.1%
GYŐRASSZONYFA 1
 
< 0.1%
Other values (3213) 3213
99.5%