Overview

Dataset statistics

Number of variables4
Number of observations328
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory10.7 KiB
Average record size in memory33.4 B

Variable types

Categorical3
Numeric1

Dataset

Description자치구명,법정동명,업종명,업소수
Author성북구
URLhttps://data.seoul.go.kr/dataList/OA-11146/S/1/datasetView.do

Alerts

자치구명 has constant value ""Constant

Reproduction

Analysis started2024-05-03 23:53:19.407433
Analysis finished2024-05-03 23:53:20.724748
Duration1.32 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

자치구명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size2.7 KiB
성북구
328 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
성북구 328
100.0%

Length

2024-05-03T23:53:20.947754image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-03T23:53:21.379290image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
성북구 328
100.0%

법정동명
Categorical

Distinct39
Distinct (%)11.9%
Missing0
Missing (%)0.0%
Memory size2.7 KiB
길음동
 
19
정릉동
 
17
하월곡동
 
17
장위동
 
16
종암동
 
16
Other values (34)
243 

Length

Max length6
Median length5
Mean length4.4695122
Min length3

Unique

Unique1 ?
Unique (%)0.3%

Sample

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

Common Values

ValueCountFrequency (%)
길음동 19
 
5.8%
정릉동 17
 
5.2%
하월곡동 17
 
5.2%
장위동 16
 
4.9%
종암동 16
 
4.9%
석관동 14
 
4.3%
동선동1가 13
 
4.0%
동소문동6가 13
 
4.0%
동선동2가 13
 
4.0%
동선동4가 12
 
3.7%
Other values (29) 178
54.3%

Length

2024-05-03T23:53:21.878244image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
길음동 19
 
5.8%
하월곡동 17
 
5.2%
정릉동 17
 
5.2%
장위동 16
 
4.9%
종암동 16
 
4.9%
석관동 14
 
4.3%
동선동1가 13
 
4.0%
동소문동6가 13
 
4.0%
동선동2가 13
 
4.0%
동소문동4가 12
 
3.7%
Other values (29) 178
54.3%

업종명
Categorical

Distinct21
Distinct (%)6.4%
Missing0
Missing (%)0.0%
Memory size2.7 KiB
일반미용업
38 
공중이용시설
31 
피부미용업
26 
세탁업
26 
종합미용업
23 
Other values (16)
184 

Length

Max length23
Median length12
Mean length7.7439024
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row이용업
2nd row세탁업
3rd row위생관리용역업
4th row공중이용시설
5th row일반미용업

Common Values

ValueCountFrequency (%)
일반미용업 38
11.6%
공중이용시설 31
 
9.5%
피부미용업 26
 
7.9%
세탁업 26
 
7.9%
종합미용업 23
 
7.0%
네일미용업 23
 
7.0%
위생관리용역업 22
 
6.7%
이용업 21
 
6.4%
목욕장업 15
 
4.6%
네일미용업, 화장ㆍ분장 미용업 14
 
4.3%
Other values (11) 89
27.1%

Length

2024-05-03T23:53:22.382226image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
일반미용업 70
14.4%
미용업 69
14.2%
네일미용업 67
13.8%
화장ㆍ분장 67
13.8%
피부미용업 63
12.9%
공중이용시설 31
6.4%
세탁업 26
 
5.3%
종합미용업 23
 
4.7%
위생관리용역업 22
 
4.5%
이용업 21
 
4.3%
Other values (2) 28
 
5.7%

업소수
Real number (ℝ)

Distinct30
Distinct (%)9.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.4420732
Minimum1
Maximum97
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.0 KiB
2024-05-03T23:53:23.065068image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q35.25
95-th percentile16
Maximum97
Range96
Interquartile range (IQR)4.25

Descriptive statistics

Standard deviation10.526928
Coefficient of variation (CV)1.9343598
Kurtosis35.384668
Mean5.4420732
Median Absolute Deviation (MAD)1
Skewness5.4579884
Sum1785
Variance110.81621
MonotonicityNot monotonic
2024-05-03T23:53:23.599746image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
1 119
36.3%
2 63
19.2%
3 28
 
8.5%
4 22
 
6.7%
5 14
 
4.3%
7 13
 
4.0%
8 12
 
3.7%
6 8
 
2.4%
16 6
 
1.8%
9 6
 
1.8%
Other values (20) 37
 
11.3%
ValueCountFrequency (%)
1 119
36.3%
2 63
19.2%
3 28
 
8.5%
4 22
 
6.7%
5 14
 
4.3%
6 8
 
2.4%
7 13
 
4.0%
8 12
 
3.7%
9 6
 
1.8%
10 5
 
1.5%
ValueCountFrequency (%)
97 1
0.3%
79 1
0.3%
73 1
0.3%
65 1
0.3%
61 1
0.3%
57 1
0.3%
33 1
0.3%
32 1
0.3%
27 1
0.3%
25 1
0.3%

Interactions

2024-05-03T23:53:19.660306image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-05-03T23:53:23.890496image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
법정동명업종명업소수
법정동명1.0000.0000.000
업종명0.0001.0000.000
업소수0.0000.0001.000
2024-05-03T23:53:24.167988image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
법정동명업종명
법정동명1.0000.000
업종명0.0001.000
2024-05-03T23:53:24.417335image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
업소수법정동명업종명
업소수1.0000.0000.000
법정동명0.0001.0000.000
업종명0.0000.0001.000

Missing values

2024-05-03T23:53:19.993500image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-05-03T23:53:20.528184image/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

자치구명법정동명업종명업소수
0성북구성북동이용업5
1성북구성북동세탁업7
2성북구성북동위생관리용역업3
3성북구성북동공중이용시설4
4성북구성북동일반미용업9
5성북구성북동피부미용업2
6성북구성북동종합미용업4
7성북구성북동네일미용업4
8성북구성북동피부미용업, 네일미용업1
9성북구성북동1가이용업1
자치구명법정동명업종명업소수
318성북구석관동위생관리용역업4
319성북구석관동공중이용시설16
320성북구석관동일반미용업57
321성북구석관동피부미용업8
322성북구석관동종합미용업21
323성북구석관동네일미용업7
324성북구석관동피부미용업, 네일미용업3
325성북구석관동일반미용업, 화장ㆍ분장 미용업2
326성북구석관동네일미용업, 화장ㆍ분장 미용업3
327성북구석관동피부미용업, 네일미용업, 화장ㆍ분장 미용업2