Overview

Dataset statistics

Number of variables4
Number of observations36
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.3 KiB
Average record size in memory37.7 B

Variable types

Categorical2
Text1
Numeric1

Dataset

Description자치구코드,자치구명,법정동명,업소수
Author용산구
URLhttps://data.seoul.go.kr/dataList/OA-11200/S/1/datasetView.do

Alerts

자치구코드 has constant value ""Constant
자치구명 has constant value ""Constant
법정동명 has unique valuesUnique

Reproduction

Analysis started2024-05-04 03:48:08.951519
Analysis finished2024-05-04 03:48:12.358557
Duration3.41 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

자치구코드
Categorical

CONSTANT 

Distinct1
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Memory size420.0 B
3020000
36 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3020000
2nd row3020000
3rd row3020000
4th row3020000
5th row3020000

Common Values

ValueCountFrequency (%)
3020000 36
100.0%

Length

2024-05-04T03:48:12.682757image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T03:48:12.936748image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3020000 36
100.0%

자치구명
Categorical

CONSTANT 

Distinct1
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Memory size420.0 B
용산구
36 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row용산구
2nd row용산구
3rd row용산구
4th row용산구
5th row용산구

Common Values

ValueCountFrequency (%)
용산구 36
100.0%

Length

2024-05-04T03:48:13.189590image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T03:48:13.503687image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
용산구 36
100.0%

법정동명
Text

UNIQUE 

Distinct36
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size420.0 B
2024-05-04T03:48:13.877071image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length5
Median length4
Mean length3.9722222
Min length3

Characters and Unicode

Total characters143
Distinct characters41
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique36 ?
Unique (%)100.0%

Sample

1st row갈월동
2nd row남영동
3rd row도원동
4th row동빙고동
5th row동자동
ValueCountFrequency (%)
갈월동 1
 
2.8%
남영동 1
 
2.8%
청암동 1
 
2.8%
원효로2가 1
 
2.8%
원효로3가 1
 
2.8%
원효로4가 1
 
2.8%
이촌동 1
 
2.8%
이태원동 1
 
2.8%
주성동 1
 
2.8%
청파동1가 1
 
2.8%
Other values (26) 26
72.2%
2024-05-04T03:48:14.694198image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
동 31
21.7%
가 16
 
11.2%
용 7
 
4.9%
산 7
 
4.9%
로 7
 
4.9%
원 6
 
4.2%
효 5
 
3.5%
한 4
 
2.8%
청 4
 
2.8%
3 4
 
2.8%
Other values (31) 52
36.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 127
88.8%
Decimal Number 16
 
11.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 31
24.4%
가 16
12.6%
용 7
 
5.5%
산 7
 
5.5%
로 7
 
5.5%
원 6
 
4.7%
효 5
 
3.9%
한 4
 
3.1%
청 4
 
3.1%
파 3
 
2.4%
Other values (25) 37
29.1%
Decimal Number
ValueCountFrequency (%)
3 4
25.0%
2 4
25.0%
1 4
25.0%
4 2
12.5%
6 1
 
6.2%
5 1
 
6.2%

Most occurring scripts

ValueCountFrequency (%)
Hangul 127
88.8%
Common 16
 
11.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 31
24.4%
가 16
12.6%
용 7
 
5.5%
산 7
 
5.5%
로 7
 
5.5%
원 6
 
4.7%
효 5
 
3.9%
한 4
 
3.1%
청 4
 
3.1%
파 3
 
2.4%
Other values (25) 37
29.1%
Common
ValueCountFrequency (%)
3 4
25.0%
2 4
25.0%
1 4
25.0%
4 2
12.5%
6 1
 
6.2%
5 1
 
6.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 127
88.8%
ASCII 16
 
11.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
동 31
24.4%
가 16
12.6%
용 7
 
5.5%
산 7
 
5.5%
로 7
 
5.5%
원 6
 
4.7%
효 5
 
3.9%
한 4
 
3.1%
청 4
 
3.1%
파 3
 
2.4%
Other values (25) 37
29.1%
ASCII
ValueCountFrequency (%)
3 4
25.0%
2 4
25.0%
1 4
25.0%
4 2
12.5%
6 1
 
6.2%
5 1
 
6.2%

업소수
Real number (ℝ)

Distinct35
Distinct (%)97.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean249.5
Minimum1
Maximum1416
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size456.0 B
2024-05-04T03:48:15.064125image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile6.5
Q142.75
median159.5
Q3271.75
95-th percentile989.5
Maximum1416
Range1415
Interquartile range (IQR)229

Descriptive statistics

Standard deviation332.68788
Coefficient of variation (CV)1.3334184
Kurtosis5.583038
Mean249.5
Median Absolute Deviation (MAD)116.5
Skewness2.3795672
Sum8982
Variance110681.23
MonotonicityNot monotonic
2024-05-04T03:48:15.389356image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=35)
ValueCountFrequency (%)
39 2
 
5.6%
213 1
 
2.8%
232 1
 
2.8%
66 1
 
2.8%
400 1
 
2.8%
1416 1
 
2.8%
2 1
 
2.8%
8 1
 
2.8%
97 1
 
2.8%
191 1
 
2.8%
Other values (25) 25
69.4%
ValueCountFrequency (%)
1 1
2.8%
2 1
2.8%
8 1
2.8%
13 1
2.8%
23 1
2.8%
29 1
2.8%
35 1
2.8%
39 2
5.6%
44 1
2.8%
51 1
2.8%
ValueCountFrequency (%)
1416 1
2.8%
1267 1
2.8%
897 1
2.8%
756 1
2.8%
400 1
2.8%
385 1
2.8%
382 1
2.8%
290 1
2.8%
277 1
2.8%
270 1
2.8%

Interactions

2024-05-04T03:48:11.652897image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-05-04T03:48:15.643464image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
법정동명업소수
법정동명1.0001.000
업소수1.0001.000

Missing values

2024-05-04T03:48:11.983646image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-05-04T03:48:12.272237image/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

자치구코드자치구명법정동명업소수
03020000용산구갈월동213
13020000용산구남영동215
23020000용산구도원동35
33020000용산구동빙고동80
43020000용산구동자동290
53020000용산구문배동69
63020000용산구보광동277
73020000용산구산천동39
83020000용산구서계동196
93020000용산구서빙고동39
자치구코드자치구명법정동명업소수
263020000용산구청암동8
273020000용산구청파동1가97
283020000용산구청파동2가232
293020000용산구청파동3가191
303020000용산구한강로1가270
313020000용산구한강로2가756
323020000용산구한강로3가897
333020000용산구한남동1267
343020000용산구효창동150
353020000용산구후암동385