Overview

Dataset statistics

Number of variables1
Number of observations53
Missing cells0
Missing cells (%)0.0%
Duplicate rows3
Duplicate rows (%)5.7%
Total size in memory1.9 KiB
Average record size in memory36.9 B

Variable types

Categorical1

Dataset

Description2022-02-18
Author사회보장정보시스템(행복e음)
URLhttps://bigdata.gwangju.go.kr/usr/dataSet/getDataDetailView.rd?dataSetUncd=DS000087691

Alerts

Dataset has 3 (5.7%) duplicate rowsDuplicates

Reproduction

Analysis started2024-01-07 18:14:28.943763
Analysis finished2024-01-07 18:14:29.071078
Duration0.13 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

PK
Categorical

Distinct3
Distinct (%)5.7%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
<NA>
39 
ڼ
7 
2
7 

Length

Max length4
Median length4
Mean length3.2075472
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowڼ
2nd row2
3rd row<NA>
4th row<NA>
5th rowڼ

Common Values

ValueCountFrequency (%)
<NA> 39
73.6%
ڼ 7
 
13.2%
2 7
 
13.2%

Length

2024-01-08T03:14:29.162091image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-08T03:14:29.263783image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 39
73.6%
ڼ 7
 
13.2%
2 7
 
13.2%

Missing values

2024-01-08T03:14:28.993972image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-01-08T03:14:29.046411image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

Sample

PK
NaNõñɱNaNڼ
202101ֱϱ15~17NaN2
PKNaNNaNNaNNaN<NA>
NaNNaNNaNNaNNaN<NA>
3`õñɱNaNڼ
202102ֱϱ15~17NaN2
PKNaNNaNNaNNaN<NA>
NaNõñɱNaNڼ
202103ֱϱ15~17NaN2
PKNaNNaNNaNNaN<NA>
PK
NaNNaNNaNNaNNaN<NA>
NaN<NA>
`NaNNaNNaNNaN<NA>
NaNNaNNaNNaNNaN<NA>
NaN<NA>
NaN<NA>
NaN<NA>
NaN<NA>
NaN<NA>
NaN<NA>

Duplicate rows

Most frequently occurring

PK# duplicates
2<NA>39
027
1ڼ7