Overview

Dataset statistics

Number of variables4
Number of observations174
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory5.7 KiB
Average record size in memory33.8 B

Variable types

Categorical3
Numeric1

Dataset

Description자치구명,법정동명,업종명,업소수
Author은평구
URLhttps://data.seoul.go.kr/dataList/OA-10530/S/1/datasetView.do

Alerts

자치구명 has constant value ""Constant

Reproduction

Analysis started2024-05-04 01:36:08.396080
Analysis finished2024-05-04 01:36:09.475983
Duration1.08 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

자치구명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
은평구
174 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
은평구 174
100.0%

Length

2024-05-04T01:36:09.695879image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T01:36:10.033414image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
은평구 174
100.0%

법정동명
Categorical

Distinct11
Distinct (%)6.3%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
역촌동
21 
응암동
20 
갈현동
18 
대조동
18 
불광동
17 
Other values (6)
80 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
역촌동 21
12.1%
응암동 20
11.5%
갈현동 18
10.3%
대조동 18
10.3%
불광동 17
9.8%
녹번동 16
9.2%
신사동 16
9.2%
진관동 16
9.2%
구산동 13
7.5%
증산동 10
5.7%

Length

2024-05-04T01:36:10.409914image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
역촌동 21
12.1%
응암동 20
11.5%
갈현동 18
10.3%
대조동 18
10.3%
불광동 17
9.8%
녹번동 16
9.2%
신사동 16
9.2%
진관동 16
9.2%
구산동 13
7.5%
증산동 10
5.7%

업종명
Categorical

Distinct23
Distinct (%)13.2%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
세탁업
 
11
공중이용시설
 
11
일반미용업
 
11
이용업
 
11
위생관리용역업
 
11
Other values (18)
119 

Length

Max length23
Median length12
Mean length9.3965517
Min length3

Unique

Unique2 ?
Unique (%)1.1%

Sample

1st row숙박업(일반)
2nd row이용업
3rd row세탁업
4th row위생관리용역업
5th row공중이용시설

Common Values

ValueCountFrequency (%)
세탁업 11
 
6.3%
공중이용시설 11
 
6.3%
일반미용업 11
 
6.3%
이용업 11
 
6.3%
위생관리용역업 11
 
6.3%
네일미용업 10
 
5.7%
피부미용업 10
 
5.7%
피부미용업, 네일미용업 9
 
5.2%
종합미용업 9
 
5.2%
피부미용업, 네일미용업, 화장ㆍ분장 미용업 9
 
5.2%
Other values (13) 72
41.4%

Length

2024-05-04T01:36:10.814163image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
네일미용업 55
18.2%
화장ㆍ분장 46
15.2%
미용업 46
15.2%
피부미용업 42
13.9%
일반미용업 40
13.2%
세탁업 11
 
3.6%
공중이용시설 11
 
3.6%
이용업 11
 
3.6%
위생관리용역업 11
 
3.6%
종합미용업 9
 
3.0%
Other values (4) 21
 
6.9%

업소수
Real number (ℝ)

Distinct37
Distinct (%)21.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11.402299
Minimum1
Maximum165
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.7 KiB
2024-05-04T01:36:11.210982image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median4
Q311.75
95-th percentile41.35
Maximum165
Range164
Interquartile range (IQR)10.75

Descriptive statistics

Standard deviation23.451566
Coefficient of variation (CV)2.0567402
Kurtosis20.323595
Mean11.402299
Median Absolute Deviation (MAD)3
Skewness4.3040802
Sum1984
Variance549.97595
MonotonicityNot monotonic
2024-05-04T01:36:11.619687image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=37)
ValueCountFrequency (%)
1 49
28.2%
2 19
 
10.9%
3 18
 
10.3%
6 9
 
5.2%
5 8
 
4.6%
4 7
 
4.0%
7 6
 
3.4%
17 6
 
3.4%
12 5
 
2.9%
18 4
 
2.3%
Other values (27) 43
24.7%
ValueCountFrequency (%)
1 49
28.2%
2 19
 
10.9%
3 18
 
10.3%
4 7
 
4.0%
5 8
 
4.6%
6 9
 
5.2%
7 6
 
3.4%
8 3
 
1.7%
9 4
 
2.3%
10 3
 
1.7%
ValueCountFrequency (%)
165 1
0.6%
129 1
0.6%
127 1
0.6%
124 1
0.6%
95 1
0.6%
79 1
0.6%
72 1
0.6%
61 1
0.6%
55 1
0.6%
34 1
0.6%

Interactions

2024-05-04T01:36:08.720255image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-05-04T01:36:11.896040image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
법정동명업종명업소수
법정동명1.0000.0000.054
업종명0.0001.0000.514
업소수0.0540.5141.000
2024-05-04T01:36:12.140904image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
업종명법정동명
업종명1.0000.000
법정동명0.0001.000
2024-05-04T01:36:12.386450image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
업소수법정동명업종명
업소수1.0000.0170.222
법정동명0.0171.0000.000
업종명0.2220.0001.000

Missing values

2024-05-04T01:36:09.093056image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-05-04T01:36:09.369416image/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
0은평구수색동숙박업(일반)6
1은평구수색동이용업3
2은평구수색동세탁업5
3은평구수색동위생관리용역업1
4은평구수색동공중이용시설3
5은평구수색동일반미용업16
6은평구수색동종합미용업2
7은평구수색동화장ㆍ분장 미용업1
8은평구수색동일반미용업, 네일미용업, 화장ㆍ분장 미용업1
9은평구녹번동숙박업(일반)5
자치구명법정동명업종명업소수
164은평구진관동피부미용업20
165은평구진관동종합미용업7
166은평구진관동네일미용업7
167은평구진관동일반미용업, 네일미용업1
168은평구진관동피부미용업, 네일미용업2
169은평구진관동일반미용업, 화장ㆍ분장 미용업1
170은평구진관동피부미용업, 화장ㆍ분장 미용업2
171은평구진관동네일미용업, 화장ㆍ분장 미용업3
172은평구진관동일반미용업, 네일미용업, 화장ㆍ분장 미용업1
173은평구진관동피부미용업, 네일미용업, 화장ㆍ분장 미용업3