Overview

Dataset statistics

Number of variables4
Number of observations220
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory7.2 KiB
Average record size in memory33.6 B

Variable types

Categorical3
Numeric1

Dataset

Description자치구명,법정동명,업종명,업소수
Author강남구
URLhttps://data.seoul.go.kr/dataList/OA-11300/S/1/datasetView.do

Alerts

자치구명 has constant value ""Constant

Reproduction

Analysis started2024-05-17 22:47:33.871107
Analysis finished2024-05-17 22:47:35.075666
Duration1.2 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

자치구명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
강남구
220 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
강남구 220
100.0%

Length

2024-05-18T07:47:35.292908image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T07:47:35.614560image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
강남구 220
100.0%

법정동명
Categorical

Distinct14
Distinct (%)6.4%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
역삼동
22 
신사동
22 
논현동
21 
청담동
20 
삼성동
20 
Other values (9)
115 

Length

Max length4
Median length3
Mean length3.0454545
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
역삼동 22
10.0%
신사동 22
10.0%
논현동 21
9.5%
청담동 20
9.1%
삼성동 20
9.1%
대치동 20
9.1%
개포동 18
8.2%
도곡동 18
8.2%
일원동 14
6.4%
수서동 12
 
5.5%
Other values (4) 33
15.0%

Length

2024-05-18T07:47:36.164900image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
역삼동 22
10.0%
신사동 22
10.0%
논현동 21
9.5%
청담동 20
9.1%
삼성동 20
9.1%
대치동 20
9.1%
개포동 18
8.2%
도곡동 18
8.2%
일원동 14
6.4%
수서동 12
 
5.5%
Other values (4) 33
15.0%

업종명
Categorical

Distinct24
Distinct (%)10.9%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
일반미용업
 
14
미용업
 
13
세탁업
 
13
피부미용업
 
13
네일미용업
 
13
Other values (19)
154 

Length

Max length23
Median length16
Mean length8.9272727
Min length3

Unique

Unique2 ?
Unique (%)0.9%

Sample

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

Common Values

ValueCountFrequency (%)
일반미용업 14
 
6.4%
미용업 13
 
5.9%
세탁업 13
 
5.9%
피부미용업 13
 
5.9%
네일미용업 13
 
5.9%
이용업 13
 
5.9%
종합미용업 12
 
5.5%
위생관리용역업 12
 
5.5%
공중이용시설 12
 
5.5%
목욕장업 11
 
5.0%
Other values (14) 94
42.7%

Length

2024-05-18T07:47:36.704469image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
미용업 67
18.1%
네일미용업 60
16.2%
일반미용업 54
14.6%
화장ㆍ분장 54
14.6%
피부미용업 51
13.7%
세탁업 13
 
3.5%
이용업 13
 
3.5%
종합미용업 12
 
3.2%
위생관리용역업 12
 
3.2%
공중이용시설 12
 
3.2%
Other values (4) 23
 
6.2%

업소수
Real number (ℝ)

Distinct66
Distinct (%)30.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean24.836364
Minimum1
Maximum430
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.1 KiB
2024-05-18T07:47:37.137596image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median9
Q324
95-th percentile116.4
Maximum430
Range429
Interquartile range (IQR)22

Descriptive statistics

Standard deviation48.280483
Coefficient of variation (CV)1.9439433
Kurtosis28.066806
Mean24.836364
Median Absolute Deviation (MAD)7.5
Skewness4.5911482
Sum5464
Variance2331.0051
MonotonicityNot monotonic
2024-05-18T07:47:37.640129image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 35
 
15.9%
2 22
 
10.0%
3 15
 
6.8%
6 14
 
6.4%
13 9
 
4.1%
10 8
 
3.6%
5 7
 
3.2%
4 6
 
2.7%
11 5
 
2.3%
9 5
 
2.3%
Other values (56) 94
42.7%
ValueCountFrequency (%)
1 35
15.9%
2 22
10.0%
3 15
6.8%
4 6
 
2.7%
5 7
 
3.2%
6 14
 
6.4%
7 5
 
2.3%
8 3
 
1.4%
9 5
 
2.3%
10 8
 
3.6%
ValueCountFrequency (%)
430 1
0.5%
283 1
0.5%
223 1
0.5%
218 1
0.5%
170 1
0.5%
153 1
0.5%
146 1
0.5%
145 1
0.5%
135 1
0.5%
127 1
0.5%

Interactions

2024-05-18T07:47:34.208019image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-05-18T07:47:37.904160image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
법정동명업종명업소수
법정동명1.0000.0000.000
업종명0.0001.0000.298
업소수0.0000.2981.000
2024-05-18T07:47:38.207984image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
업종명법정동명
업종명1.0000.000
법정동명0.0001.000
2024-05-18T07:47:38.633770image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
업소수법정동명업종명
업소수1.0000.0000.125
법정동명0.0001.0000.000
업종명0.1250.0001.000

Missing values

2024-05-18T07:47:34.580865image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-05-18T07:47:34.916884image/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
0강남구역삼동숙박업(일반)55
1강남구역삼동목욕장업19
2강남구역삼동이용업19
3강남구역삼동미용업33
4강남구역삼동세탁업64
5강남구역삼동위생관리용역업93
6강남구역삼동공중이용시설430
7강남구역삼동일반미용업135
8강남구역삼동피부미용업153
9강남구역삼동종합미용업46
자치구명법정동명업종명업소수
210강남구도곡동일반미용업35
211강남구도곡동피부미용업25
212강남구도곡동종합미용업17
213강남구도곡동네일미용업11
214강남구도곡동일반미용업, 네일미용업4
215강남구도곡동화장ㆍ분장 미용업1
216강남구도곡동일반미용업, 화장ㆍ분장 미용업3
217강남구도곡동피부미용업, 화장ㆍ분장 미용업1
218강남구도곡동일반미용업, 네일미용업, 화장ㆍ분장 미용업2
219강남구도곡동피부미용업, 네일미용업, 화장ㆍ분장 미용업5