Overview

Dataset statistics

Number of variables4
Number of observations33
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.2 KiB
Average record size in memory38.0 B

Variable types

Categorical2
Text1
Numeric1

Dataset

Description자치구코드,자치구명,법정동명,업소수
Author용산구
URLhttps://data.seoul.go.kr/dataList/OA-11201/S/1/datasetView.do

Alerts

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

Reproduction

Analysis started2024-05-03 20:56:33.041925
Analysis finished2024-05-03 20:56:34.469093
Duration1.43 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

자치구코드
Categorical

CONSTANT 

Distinct1
Distinct (%)3.0%
Missing0
Missing (%)0.0%
Memory size396.0 B
3020000
33 

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 33
100.0%

Length

2024-05-03T20:56:34.764430image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-03T20:56:35.159327image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3020000 33
100.0%

자치구명
Categorical

CONSTANT 

Distinct1
Distinct (%)3.0%
Missing0
Missing (%)0.0%
Memory size396.0 B
용산구
33 

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 33
100.0%

Length

2024-05-03T20:56:35.499152image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-03T20:56:35.860536image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
용산구 33
100.0%

법정동명
Text

UNIQUE 

Distinct33
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size396.0 B
2024-05-03T20:56:36.465822image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length5
Median length4
Mean length3.9393939
Min length3

Characters and Unicode

Total characters130
Distinct characters40
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

Unique33 ?
Unique (%)100.0%

Sample

1st row갈월동
2nd row남영동
3rd row도원동
4th row동빙고동
5th row동자동
ValueCountFrequency (%)
갈월동 1
 
3.0%
용산동6가 1
 
3.0%
효창동 1
 
3.0%
한남동 1
 
3.0%
한강로3가 1
 
3.0%
한강로2가 1
 
3.0%
한강로1가 1
 
3.0%
청파동3가 1
 
3.0%
청파동2가 1
 
3.0%
청파동1가 1
 
3.0%
Other values (23) 23
69.7%
2024-05-03T20:56:37.757711image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
동 28
21.5%
가 14
 
10.8%
로 7
 
5.4%
원 6
 
4.6%
산 5
 
3.8%
효 5
 
3.8%
용 5
 
3.8%
한 4
 
3.1%
2 4
 
3.1%
3 4
 
3.1%
Other values (30) 48
36.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 116
89.2%
Decimal Number 14
 
10.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 28
24.1%
가 14
 
12.1%
로 7
 
6.0%
원 6
 
5.2%
산 5
 
4.3%
효 5
 
4.3%
용 5
 
4.3%
한 4
 
3.4%
강 3
 
2.6%
파 3
 
2.6%
Other values (24) 36
31.0%
Decimal Number
ValueCountFrequency (%)
2 4
28.6%
3 4
28.6%
1 3
21.4%
4 1
 
7.1%
6 1
 
7.1%
5 1
 
7.1%

Most occurring scripts

ValueCountFrequency (%)
Hangul 116
89.2%
Common 14
 
10.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 28
24.1%
가 14
 
12.1%
로 7
 
6.0%
원 6
 
5.2%
산 5
 
4.3%
효 5
 
4.3%
용 5
 
4.3%
한 4
 
3.4%
강 3
 
2.6%
파 3
 
2.6%
Other values (24) 36
31.0%
Common
ValueCountFrequency (%)
2 4
28.6%
3 4
28.6%
1 3
21.4%
4 1
 
7.1%
6 1
 
7.1%
5 1
 
7.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 116
89.2%
ASCII 14
 
10.8%

Most frequent character per block

Hangul
ValueCountFrequency (%)
동 28
24.1%
가 14
 
12.1%
로 7
 
6.0%
원 6
 
5.2%
산 5
 
4.3%
효 5
 
4.3%
용 5
 
4.3%
한 4
 
3.4%
강 3
 
2.6%
파 3
 
2.6%
Other values (24) 36
31.0%
ASCII
ValueCountFrequency (%)
2 4
28.6%
3 4
28.6%
1 3
21.4%
4 1
 
7.1%
6 1
 
7.1%
5 1
 
7.1%

업소수
Real number (ℝ)

Distinct29
Distinct (%)87.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean34.69697
Minimum1
Maximum150
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size429.0 B
2024-05-03T20:56:38.382975image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile4.4
Q112
median22
Q339
95-th percentile106.8
Maximum150
Range149
Interquartile range (IQR)27

Descriptive statistics

Standard deviation36.271963
Coefficient of variation (CV)1.0453928
Kurtosis2.8314809
Mean34.69697
Median Absolute Deviation (MAD)14
Skewness1.7823336
Sum1145
Variance1315.6553
MonotonicityNot monotonic
2024-05-03T20:56:38.849955image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
12 3
 
9.1%
6 2
 
6.1%
25 2
 
6.1%
43 1
 
3.0%
14 1
 
3.0%
48 1
 
3.0%
150 1
 
3.0%
91 1
 
3.0%
94 1
 
3.0%
18 1
 
3.0%
Other values (19) 19
57.6%
ValueCountFrequency (%)
1 1
 
3.0%
2 1
 
3.0%
6 2
6.1%
7 1
 
3.0%
8 1
 
3.0%
9 1
 
3.0%
10 1
 
3.0%
12 3
9.1%
13 1
 
3.0%
14 1
 
3.0%
ValueCountFrequency (%)
150 1
3.0%
126 1
3.0%
94 1
3.0%
91 1
3.0%
81 1
3.0%
68 1
3.0%
48 1
3.0%
43 1
3.0%
39 1
3.0%
38 1
3.0%

Interactions

2024-05-03T20:56:33.288909image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-05-03T20:56:39.165327image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
법정동명업소수
법정동명1.0001.000
업소수1.0001.000

Missing values

2024-05-03T20:56:33.832118image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-05-03T20:56:34.256516image/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
03020000용산구갈월동43
13020000용산구남영동25
23020000용산구도원동10
33020000용산구동빙고동12
43020000용산구동자동38
53020000용산구문배동21
63020000용산구보광동68
73020000용산구산천동12
83020000용산구서계동32
93020000용산구서교동1
자치구코드자치구명법정동명업소수
233020000용산구이태원동126
243020000용산구청파동1가19
253020000용산구청파동2가25
263020000용산구청파동3가23
273020000용산구한강로1가18
283020000용산구한강로2가94
293020000용산구한강로3가91
303020000용산구한남동150
313020000용산구효창동12
323020000용산구후암동48