Overview

Dataset statistics

Number of variables4
Number of observations59
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.0 KiB
Average record size in memory35.2 B

Variable types

Categorical3
Numeric1

Dataset

Description자치구명,법정동명,업종명,업소수
Author관악구
URLhttps://data.seoul.go.kr/dataList/OA-11531/S/1/datasetView.do

Alerts

자치구명 has constant value ""Constant

Reproduction

Analysis started2024-05-11 07:03:39.232668
Analysis finished2024-05-11 07:03:39.780944
Duration0.55 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

자치구명
Categorical

CONSTANT 

Distinct1
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size604.0 B
관악구
59 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
관악구 59
100.0%

Length

2024-05-11T16:03:39.882025image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T16:03:40.030541image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
관악구 59
100.0%

법정동명
Categorical

Distinct3
Distinct (%)5.1%
Missing0
Missing (%)0.0%
Memory size604.0 B
봉천동
22 
신림동
21 
남현동
16 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
봉천동 22
37.3%
신림동 21
35.6%
남현동 16
27.1%

Length

2024-05-11T16:03:40.166591image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T16:03:40.334980image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
봉천동 22
37.3%
신림동 21
35.6%
남현동 16
27.1%

업종명
Categorical

Distinct22
Distinct (%)37.3%
Missing0
Missing (%)0.0%
Memory size604.0 B
숙박업(일반)
 
3
일반미용업
 
3
피부미용업, 네일미용업, 화장ㆍ분장 미용업
 
3
이용업
 
3
미용업
 
3
Other values (17)
44 

Length

Max length23
Median length9
Mean length9.440678
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
숙박업(일반) 3
 
5.1%
일반미용업 3
 
5.1%
피부미용업, 네일미용업, 화장ㆍ분장 미용업 3
 
5.1%
이용업 3
 
5.1%
미용업 3
 
5.1%
피부미용업 3
 
5.1%
위생관리용역업 3
 
5.1%
공중이용시설 3
 
5.1%
세탁업 3
 
5.1%
네일미용업 3
 
5.1%
Other values (12) 29
49.2%

Length

2024-05-11T16:03:40.573791image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
미용업 20
19.2%
화장ㆍ분장 17
16.3%
피부미용업 16
15.4%
네일미용업 15
14.4%
일반미용업 13
12.5%
숙박업(일반 3
 
2.9%
이용업 3
 
2.9%
위생관리용역업 3
 
2.9%
공중이용시설 3
 
2.9%
세탁업 3
 
2.9%
Other values (3) 8
 
7.7%

업소수
Real number (ℝ)

Distinct33
Distinct (%)55.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean34.932203
Minimum1
Maximum377
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size663.0 B
2024-05-11T16:03:40.905888image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q14
median11
Q344.5
95-th percentile89.2
Maximum377
Range376
Interquartile range (IQR)40.5

Descriptive statistics

Standard deviation67.699097
Coefficient of variation (CV)1.9380139
Kurtosis18.572706
Mean34.932203
Median Absolute Deviation (MAD)8
Skewness4.1364831
Sum2061
Variance4583.1677
MonotonicityNot monotonic
2024-05-11T16:03:41.142079image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=33)
ValueCountFrequency (%)
4 8
 
13.6%
16 5
 
8.5%
3 4
 
6.8%
1 4
 
6.8%
7 3
 
5.1%
6 3
 
5.1%
10 3
 
5.1%
9 2
 
3.4%
12 2
 
3.4%
56 2
 
3.4%
Other values (23) 23
39.0%
ValueCountFrequency (%)
1 4
6.8%
2 1
 
1.7%
3 4
6.8%
4 8
13.6%
6 3
 
5.1%
7 3
 
5.1%
8 1
 
1.7%
9 2
 
3.4%
10 3
 
5.1%
11 1
 
1.7%
ValueCountFrequency (%)
377 1
1.7%
352 1
1.7%
109 1
1.7%
87 1
1.7%
84 1
1.7%
80 1
1.7%
72 1
1.7%
71 1
1.7%
58 1
1.7%
56 2
3.4%

Interactions

2024-05-11T16:03:39.391834image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-05-11T16:03:41.306407image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
법정동명업종명업소수
법정동명1.0000.0000.213
업종명0.0001.0000.818
업소수0.2130.8181.000
2024-05-11T16:03:41.466089image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
업종명법정동명
업종명1.0000.000
법정동명0.0001.000
2024-05-11T16:03:41.610922image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
업소수법정동명업종명
업소수1.0000.1980.483
법정동명0.1981.0000.000
업종명0.4830.0001.000

Missing values

2024-05-11T16:03:39.585987image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-05-11T16:03:39.726837image/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
0관악구봉천동숙박업(일반)19
1관악구봉천동목욕장업11
2관악구봉천동이용업56
3관악구봉천동미용업36
4관악구봉천동세탁업84
5관악구봉천동위생관리용역업26
6관악구봉천동공중이용시설71
7관악구봉천동일반미용업352
8관악구봉천동피부미용업80
9관악구봉천동종합미용업58
자치구명법정동명업종명업소수
49관악구남현동공중이용시설6
50관악구남현동일반미용업21
51관악구남현동피부미용업7
52관악구남현동종합미용업4
53관악구남현동네일미용업4
54관악구남현동피부미용업, 네일미용업1
55관악구남현동화장ㆍ분장 미용업2
56관악구남현동피부미용업, 화장ㆍ분장 미용업4
57관악구남현동일반미용업, 피부미용업, 화장ㆍ분장 미용업1
58관악구남현동피부미용업, 네일미용업, 화장ㆍ분장 미용업1