Overview

Dataset statistics

Number of variables4
Number of observations130
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory4.3 KiB
Average record size in memory34.0 B

Variable types

Categorical3
Numeric1

Dataset

Description자치구명,법정동명,업종명,업소수
Author광진구
URLhttps://data.seoul.go.kr/dataList/OA-9914/S/1/datasetView.do

Alerts

자치구명 has constant value ""Constant

Reproduction

Analysis started2024-05-04 03:53:08.986896
Analysis finished2024-05-04 03:53:10.121219
Duration1.13 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

자치구명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
광진구
130 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
광진구 130
100.0%

Length

2024-05-04T03:53:10.308191image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T03:53:10.657922image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
광진구 130
100.0%

법정동명
Categorical

Distinct7
Distinct (%)5.4%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
구의동
21 
중곡동
20 
자양동
20 
화양동
20 
군자동
19 
Other values (2)
30 

Length

Max length3
Median length3
Mean length2.9
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
구의동 21
16.2%
중곡동 20
15.4%
자양동 20
15.4%
화양동 20
15.4%
군자동 19
14.6%
광장동 17
13.1%
능동 13
10.0%

Length

2024-05-04T03:53:10.927242image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T03:53:11.280677image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
구의동 21
16.2%
중곡동 20
15.4%
자양동 20
15.4%
화양동 20
15.4%
군자동 19
14.6%
광장동 17
13.1%
능동 13
10.0%

업종명
Categorical

Distinct24
Distinct (%)18.5%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
숙박업(일반)
 
7
미용업
 
7
세탁업
 
7
위생관리용역업
 
7
일반미용업, 네일미용업, 화장ㆍ분장 미용업
 
7
Other values (19)
95 

Length

Max length23
Median length12
Mean length9.1538462
Min length3

Unique

Unique2 ?
Unique (%)1.5%

Sample

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

Common Values

ValueCountFrequency (%)
숙박업(일반) 7
 
5.4%
미용업 7
 
5.4%
세탁업 7
 
5.4%
위생관리용역업 7
 
5.4%
일반미용업, 네일미용업, 화장ㆍ분장 미용업 7
 
5.4%
공중이용시설 7
 
5.4%
일반미용업 7
 
5.4%
피부미용업 7
 
5.4%
종합미용업 7
 
5.4%
네일미용업 7
 
5.4%
Other values (14) 60
46.2%

Length

2024-05-04T03:53:11.741890image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
미용업 42
18.8%
네일미용업 35
15.7%
화장ㆍ분장 35
15.7%
일반미용업 31
13.9%
피부미용업 29
13.0%
숙박업(일반 7
 
3.1%
세탁업 7
 
3.1%
위생관리용역업 7
 
3.1%
공중이용시설 7
 
3.1%
종합미용업 7
 
3.1%
Other values (5) 16
 
7.2%

업소수
Real number (ℝ)

Distinct40
Distinct (%)30.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean15.146154
Minimum1
Maximum124
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.3 KiB
2024-05-04T03:53:12.156638image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median7
Q319.75
95-th percentile52
Maximum124
Range123
Interquartile range (IQR)16.75

Descriptive statistics

Standard deviation21.096718
Coefficient of variation (CV)1.3928762
Kurtosis8.696169
Mean15.146154
Median Absolute Deviation (MAD)5
Skewness2.6442962
Sum1969
Variance445.0715
MonotonicityNot monotonic
2024-05-04T03:53:12.591092image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=40)
ValueCountFrequency (%)
1 22
16.9%
3 12
 
9.2%
4 10
 
7.7%
2 8
 
6.2%
8 8
 
6.2%
7 7
 
5.4%
5 6
 
4.6%
9 5
 
3.8%
6 5
 
3.8%
11 3
 
2.3%
Other values (30) 44
33.8%
ValueCountFrequency (%)
1 22
16.9%
2 8
 
6.2%
3 12
9.2%
4 10
7.7%
5 6
 
4.6%
6 5
 
3.8%
7 7
 
5.4%
8 8
 
6.2%
9 5
 
3.8%
10 2
 
1.5%
ValueCountFrequency (%)
124 1
0.8%
113 1
0.8%
86 1
0.8%
70 1
0.8%
61 1
0.8%
57 1
0.8%
52 2
1.5%
51 2
1.5%
48 1
0.8%
46 1
0.8%

Interactions

2024-05-04T03:53:09.200604image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-05-04T03:53:12.944799image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
법정동명업종명업소수
법정동명1.0000.0000.234
업종명0.0001.0000.320
업소수0.2340.3201.000
2024-05-04T03:53:13.235699image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
법정동명업종명
법정동명1.0000.000
업종명0.0001.000
2024-05-04T03:53:13.467107image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
업소수법정동명업종명
업소수1.0000.1250.104
법정동명0.1251.0000.000
업종명0.1040.0001.000

Missing values

2024-05-04T03:53:09.614054image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-05-04T03:53:09.943503image/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
0광진구중곡동숙박업(일반)18
1광진구중곡동목욕장업7
2광진구중곡동이용업27
3광진구중곡동미용업61
4광진구중곡동세탁업33
5광진구중곡동위생관리용역업24
6광진구중곡동위생처리업1
7광진구중곡동공중이용시설30
8광진구중곡동일반미용업113
9광진구중곡동피부미용업37
자치구명법정동명업종명업소수
120광진구군자동피부미용업12
121광진구군자동종합미용업11
122광진구군자동네일미용업7
123광진구군자동일반미용업, 네일미용업1
124광진구군자동피부미용업, 네일미용업2
125광진구군자동화장ㆍ분장 미용업4
126광진구군자동일반미용업, 화장ㆍ분장 미용업3
127광진구군자동피부미용업, 화장ㆍ분장 미용업1
128광진구군자동네일미용업, 화장ㆍ분장 미용업3
129광진구군자동일반미용업, 네일미용업, 화장ㆍ분장 미용업1