Overview

Dataset statistics

Number of variables4
Number of observations199
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory6.5 KiB
Average record size in memory33.7 B

Variable types

Categorical3
Numeric1

Dataset

Description자치구명,법정동명,업종명,업소수
Author성동구
URLhttps://data.seoul.go.kr/dataList/OA-10761/S/1/datasetView.do

Alerts

자치구명 has constant value ""Constant

Reproduction

Analysis started2024-05-18 01:20:41.848681
Analysis finished2024-05-18 01:20:42.881207
Duration1.03 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

자치구명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
성동구
199 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
성동구 199
100.0%

Length

2024-05-18T10:20:43.094301image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T10:20:43.408482image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
성동구 199
100.0%

법정동명
Categorical

Distinct17
Distinct (%)8.5%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
성수동2가
17 
하왕십리동
17 
금호동4가
16 
도선동
16 
성수동1가
16 
Other values (12)
117 

Length

Max length5
Median length5
Mean length4.0150754
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
성수동2가 17
 
8.5%
하왕십리동 17
 
8.5%
금호동4가 16
 
8.0%
도선동 16
 
8.0%
성수동1가 16
 
8.0%
행당동 15
 
7.5%
용답동 13
 
6.5%
옥수동 12
 
6.0%
금호동1가 10
 
5.0%
송정동 10
 
5.0%
Other values (7) 57
28.6%

Length

2024-05-18T10:20:43.804416image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
성수동2가 17
 
8.5%
하왕십리동 17
 
8.5%
금호동4가 16
 
8.0%
도선동 16
 
8.0%
성수동1가 16
 
8.0%
행당동 15
 
7.5%
용답동 13
 
6.5%
옥수동 12
 
6.0%
송정동 10
 
5.0%
금호동1가 10
 
5.0%
Other values (7) 57
28.6%

업종명
Categorical

Distinct23
Distinct (%)11.6%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
세탁업
17 
일반미용업
17 
네일미용업
16 
공중이용시설
16 
이용업
16 
Other values (18)
117 

Length

Max length23
Median length16
Mean length7.5979899
Min length3

Unique

Unique4 ?
Unique (%)2.0%

Sample

1st row세탁업
2nd row공중이용시설
3rd row일반미용업
4th row피부미용업
5th row네일미용업

Common Values

ValueCountFrequency (%)
세탁업 17
 
8.5%
일반미용업 17
 
8.5%
네일미용업 16
 
8.0%
공중이용시설 16
 
8.0%
이용업 16
 
8.0%
피부미용업 14
 
7.0%
종합미용업 14
 
7.0%
숙박업(일반) 12
 
6.0%
위생관리용역업 12
 
6.0%
화장ㆍ분장 미용업 11
 
5.5%
Other values (13) 54
27.1%

Length

2024-05-18T10:20:44.284090image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
네일미용업 46
15.8%
피부미용업 40
13.7%
미용업 39
13.4%
화장ㆍ분장 38
13.1%
일반미용업 31
10.7%
세탁업 17
 
5.8%
공중이용시설 16
 
5.5%
이용업 16
 
5.5%
종합미용업 14
 
4.8%
숙박업(일반 12
 
4.1%
Other values (3) 22
7.6%

업소수
Real number (ℝ)

Distinct31
Distinct (%)15.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.6633166
Minimum1
Maximum78
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2024-05-18T10:20:44.722936image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median3
Q38
95-th percentile26.1
Maximum78
Range77
Interquartile range (IQR)7

Descriptive statistics

Standard deviation12.086064
Coefficient of variation (CV)1.5771323
Kurtosis16.409935
Mean7.6633166
Median Absolute Deviation (MAD)2
Skewness3.6732347
Sum1525
Variance146.07294
MonotonicityNot monotonic
2024-05-18T10:20:45.187353image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
1 54
27.1%
2 33
16.6%
3 16
 
8.0%
4 14
 
7.0%
6 13
 
6.5%
5 12
 
6.0%
7 5
 
2.5%
15 5
 
2.5%
11 4
 
2.0%
8 4
 
2.0%
Other values (21) 39
19.6%
ValueCountFrequency (%)
1 54
27.1%
2 33
16.6%
3 16
 
8.0%
4 14
 
7.0%
5 12
 
6.0%
6 13
 
6.5%
7 5
 
2.5%
8 4
 
2.0%
9 4
 
2.0%
10 1
 
0.5%
ValueCountFrequency (%)
78 1
 
0.5%
77 1
 
0.5%
75 1
 
0.5%
56 1
 
0.5%
52 1
 
0.5%
34 1
 
0.5%
33 1
 
0.5%
27 3
1.5%
26 2
1.0%
25 2
1.0%

Interactions

2024-05-18T10:20:42.090312image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-05-18T10:20:45.463034image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
법정동명업종명업소수
법정동명1.0000.0000.000
업종명0.0001.0000.054
업소수0.0000.0541.000
2024-05-18T10:20:45.788442image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
법정동명업종명
법정동명1.0000.000
업종명0.0001.000
2024-05-18T10:20:46.033699image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
업소수법정동명업종명
업소수1.0000.0000.000
법정동명0.0001.0000.000
업종명0.0000.0001.000

Missing values

2024-05-18T10:20:42.482676image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-05-18T10:20:42.764608image/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
0성동구상왕십리동세탁업3
1성동구상왕십리동공중이용시설2
2성동구상왕십리동일반미용업12
3성동구상왕십리동피부미용업5
4성동구상왕십리동네일미용업9
5성동구상왕십리동화장ㆍ분장 미용업3
6성동구상왕십리동네일미용업, 화장ㆍ분장 미용업1
7성동구상왕십리동피부미용업, 네일미용업, 화장ㆍ분장 미용업1
8성동구하왕십리동숙박업(일반)3
9성동구하왕십리동목욕장업2
자치구명법정동명업종명업소수
189성동구용답동세탁업3
190성동구용답동위생관리용역업16
191성동구용답동공중이용시설34
192성동구용답동일반미용업24
193성동구용답동피부미용업4
194성동구용답동종합미용업3
195성동구용답동네일미용업4
196성동구용답동피부미용업, 네일미용업1
197성동구용답동화장ㆍ분장 미용업2
198성동구용답동피부미용업, 화장ㆍ분장 미용업1