Overview

Dataset statistics

Number of variables4
Number of observations62
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.1 KiB
Average record size in memory35.1 B

Variable types

Categorical3
Numeric1

Dataset

Description자치구명,법정동명,업종명,업소수
Author양천구
URLhttps://data.seoul.go.kr/dataList/OA-10838/S/1/datasetView.do

Alerts

자치구명 has constant value ""Constant

Reproduction

Analysis started2024-04-20 19:31:00.066842
Analysis finished2024-04-20 19:31:01.256522
Duration1.19 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

자치구명
Categorical

CONSTANT 

Distinct1
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size628.0 B
양천구
62 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
양천구 62
100.0%

Length

2024-04-21T04:31:01.312976image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T04:31:01.392470image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
양천구 62
100.0%

법정동명
Categorical

Distinct3
Distinct (%)4.8%
Missing0
Missing (%)0.0%
Memory size628.0 B
신정동
21 
목동
21 
신월동
20 

Length

Max length3
Median length3
Mean length2.6612903
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
신정동 21
33.9%
목동 21
33.9%
신월동 20
32.3%

Length

2024-04-21T04:31:01.470148image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T04:31:01.563208image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
신정동 21
33.9%
목동 21
33.9%
신월동 20
32.3%

업종명
Categorical

Distinct22
Distinct (%)35.5%
Missing0
Missing (%)0.0%
Memory size628.0 B
숙박업(일반)
 
3
일반미용업, 네일미용업
 
3
이용업
 
3
세탁업
 
3
위생관리용역업
 
3
Other values (17)
47 

Length

Max length23
Median length16
Mean length10.354839
Min length3

Unique

Unique1 ?
Unique (%)1.6%

Sample

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

Common Values

ValueCountFrequency (%)
숙박업(일반) 3
 
4.8%
일반미용업, 네일미용업 3
 
4.8%
이용업 3
 
4.8%
세탁업 3
 
4.8%
위생관리용역업 3
 
4.8%
공중이용시설 3
 
4.8%
일반미용업 3
 
4.8%
피부미용업 3
 
4.8%
종합미용업 3
 
4.8%
일반미용업, 피부미용업 3
 
4.8%
Other values (12) 32
51.6%

Length

2024-04-21T04:31:01.663159image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
화장ㆍ분장 20
16.9%
미용업 20
16.9%
네일미용업 19
16.1%
일반미용업 18
15.3%
피부미용업 18
15.3%
숙박업(일반 3
 
2.5%
이용업 3
 
2.5%
세탁업 3
 
2.5%
위생관리용역업 3
 
2.5%
공중이용시설 3
 
2.5%
Other values (3) 8
 
6.8%

업소수
Real number (ℝ)

Distinct30
Distinct (%)48.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean29.596774
Minimum1
Maximum272
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size690.0 B
2024-04-21T04:31:01.766211image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median9
Q331
95-th percentile85.55
Maximum272
Range271
Interquartile range (IQR)28

Descriptive statistics

Standard deviation55.799835
Coefficient of variation (CV)1.885335
Kurtosis12.475583
Mean29.596774
Median Absolute Deviation (MAD)8
Skewness3.4963318
Sum1835
Variance3113.6216
MonotonicityNot monotonic
2024-04-21T04:31:01.865450image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
1 9
14.5%
7 5
 
8.1%
5 5
 
8.1%
3 5
 
8.1%
2 3
 
4.8%
4 3
 
4.8%
31 3
 
4.8%
10 3
 
4.8%
13 2
 
3.2%
49 2
 
3.2%
Other values (20) 22
35.5%
ValueCountFrequency (%)
1 9
14.5%
2 3
 
4.8%
3 5
8.1%
4 3
 
4.8%
5 5
8.1%
7 5
8.1%
8 1
 
1.6%
10 3
 
4.8%
11 1
 
1.6%
13 2
 
3.2%
ValueCountFrequency (%)
272 1
1.6%
267 1
1.6%
233 1
1.6%
86 1
1.6%
77 1
1.6%
72 1
1.6%
60 1
1.6%
55 1
1.6%
49 2
3.2%
39 1
1.6%

Interactions

2024-04-21T04:31:00.912665image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-04-21T04:31:01.932404image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
법정동명업종명업소수
법정동명1.0000.0000.000
업종명0.0001.0000.783
업소수0.0000.7831.000
2024-04-21T04:31:02.003959image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
업종명법정동명
업종명1.0000.000
법정동명0.0001.000
2024-04-21T04:31:02.069438image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
업소수법정동명업종명
업소수1.0000.0000.421
법정동명0.0001.0000.000
업종명0.4210.0001.000

Missing values

2024-04-21T04:31:01.158370image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-04-21T04:31:01.225273image/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
0양천구신정동숙박업(일반)7
1양천구신정동목욕장업4
2양천구신정동이용업29
3양천구신정동세탁업55
4양천구신정동위생관리용역업31
5양천구신정동공중이용시설86
6양천구신정동일반미용업272
7양천구신정동피부미용업60
8양천구신정동종합미용업36
9양천구신정동네일미용업49
자치구명법정동명업종명업소수
52양천구신월동네일미용업22
53양천구신월동일반미용업, 피부미용업1
54양천구신월동일반미용업, 네일미용업4
55양천구신월동피부미용업, 네일미용업3
56양천구신월동화장ㆍ분장 미용업1
57양천구신월동일반미용업, 화장ㆍ분장 미용업3
58양천구신월동피부미용업, 화장ㆍ분장 미용업5
59양천구신월동네일미용업, 화장ㆍ분장 미용업7
60양천구신월동일반미용업, 네일미용업, 화장ㆍ분장 미용업1
61양천구신월동피부미용업, 네일미용업, 화장ㆍ분장 미용업3