Overview

Dataset statistics

Number of variables4
Number of observations224
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory7.3 KiB
Average record size in memory33.6 B

Variable types

Categorical3
Numeric1

Dataset

Description자치구명,법정동명,업종명,업소수
Author송파구
URLhttps://data.seoul.go.kr/dataList/OA-11454/S/1/datasetView.do

Alerts

자치구명 has constant value ""Constant

Reproduction

Analysis started2024-05-03 22:09:14.303457
Analysis finished2024-05-03 22:09:14.993817
Duration0.69 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

자치구명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
송파구
224 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
송파구 224
100.0%

Length

2024-05-03T22:09:15.118048image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-03T22:09:15.335346image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
송파구 224
100.0%

법정동명
Categorical

Distinct15
Distinct (%)6.7%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
석촌동
22 
잠실동
21 
가락동
21 
문정동
21 
방이동
20 
Other values (10)
119 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique2 ?
Unique (%)0.9%

Sample

1st row신사동
2nd row잠실동
3rd row잠실동
4th row잠실동
5th row잠실동

Common Values

ValueCountFrequency (%)
석촌동 22
9.8%
잠실동 21
9.4%
가락동 21
9.4%
문정동 21
9.4%
방이동 20
8.9%
송파동 18
8.0%
신천동 17
7.6%
삼전동 17
7.6%
장지동 14
 
6.2%
오금동 14
 
6.2%
Other values (5) 39
17.4%

Length

2024-05-03T22:09:15.537698image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
석촌동 22
9.8%
잠실동 21
9.4%
가락동 21
9.4%
문정동 21
9.4%
방이동 20
8.9%
송파동 18
8.0%
신천동 17
7.6%
삼전동 17
7.6%
장지동 14
 
6.2%
오금동 14
 
6.2%
Other values (5) 39
17.4%

업종명
Categorical

Distinct25
Distinct (%)11.2%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
피부미용업
 
14
일반미용업
 
14
피부미용업, 네일미용업
 
13
이용업
 
13
세탁업
 
13
Other values (20)
157 

Length

Max length23
Median length16
Mean length9.1696429
Min length3

Unique

Unique2 ?
Unique (%)0.9%

Sample

1st row피부미용업
2nd row숙박업(일반)
3rd row목욕장업
4th row이용업
5th row미용업

Common Values

ValueCountFrequency (%)
피부미용업 14
 
6.2%
일반미용업 14
 
6.2%
피부미용업, 네일미용업 13
 
5.8%
이용업 13
 
5.8%
세탁업 13
 
5.8%
위생관리용역업 13
 
5.8%
공중이용시설 13
 
5.8%
종합미용업 13
 
5.8%
네일미용업 13
 
5.8%
목욕장업 12
 
5.4%
Other values (15) 93
41.5%

Length

2024-05-03T22:09:15.947787image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
네일미용업 66
17.3%
일반미용업 59
15.4%
미용업 57
14.9%
피부미용업 56
14.7%
화장ㆍ분장 54
14.1%
이용업 13
 
3.4%
세탁업 13
 
3.4%
위생관리용역업 13
 
3.4%
공중이용시설 13
 
3.4%
종합미용업 13
 
3.4%
Other values (5) 25
 
6.5%

업소수
Real number (ℝ)

Distinct56
Distinct (%)25.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean15.15625
Minimum1
Maximum135
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.1 KiB
2024-05-03T22:09:16.335184image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median7
Q318
95-th percentile61.85
Maximum135
Range134
Interquartile range (IQR)16

Descriptive statistics

Standard deviation22.316268
Coefficient of variation (CV)1.4724136
Kurtosis8.8323564
Mean15.15625
Median Absolute Deviation (MAD)6
Skewness2.7523009
Sum3395
Variance498.01584
MonotonicityNot monotonic
2024-05-03T22:09:16.722171image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 40
17.9%
2 30
 
13.4%
3 18
 
8.0%
4 13
 
5.8%
9 11
 
4.9%
7 9
 
4.0%
11 8
 
3.6%
17 8
 
3.6%
16 6
 
2.7%
12 5
 
2.2%
Other values (46) 76
33.9%
ValueCountFrequency (%)
1 40
17.9%
2 30
13.4%
3 18
8.0%
4 13
 
5.8%
5 5
 
2.2%
6 5
 
2.2%
7 9
 
4.0%
8 4
 
1.8%
9 11
 
4.9%
10 2
 
0.9%
ValueCountFrequency (%)
135 1
0.4%
121 1
0.4%
119 1
0.4%
106 1
0.4%
85 1
0.4%
78 1
0.4%
77 1
0.4%
76 1
0.4%
75 1
0.4%
66 1
0.4%

Interactions

2024-05-03T22:09:14.513597image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-05-03T22:09:16.986328image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
법정동명업종명업소수
법정동명1.0000.0000.000
업종명0.0001.0000.466
업소수0.0000.4661.000
2024-05-03T22:09:17.220408image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
법정동명업종명
법정동명1.0000.000
업종명0.0001.000
2024-05-03T22:09:17.452017image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
업소수법정동명업종명
업소수1.0000.0000.175
법정동명0.0001.0000.000
업종명0.1750.0001.000

Missing values

2024-05-03T22:09:14.775476image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-05-03T22:09:14.934580image/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
0송파구신사동피부미용업1
1송파구잠실동숙박업(일반)23
2송파구잠실동목욕장업7
3송파구잠실동이용업12
4송파구잠실동미용업1
5송파구잠실동세탁업32
6송파구잠실동위생관리용역업28
7송파구잠실동위생처리업1
8송파구잠실동공중이용시설50
9송파구잠실동일반미용업135
자치구명법정동명업종명업소수
214송파구마천동세탁업14
215송파구마천동위생관리용역업12
216송파구마천동공중이용시설9
217송파구마천동일반미용업76
218송파구마천동피부미용업9
219송파구마천동종합미용업7
220송파구마천동네일미용업9
221송파구마천동피부미용업, 네일미용업1
222송파구마천동일반미용업, 화장ㆍ분장 미용업1
223송파구암사동일반미용업1