Overview

Dataset statistics

Number of variables4
Number of observations92
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory3.1 KiB
Average record size in memory34.4 B

Variable types

Categorical3
Numeric1

Dataset

Description자치구명,법정동명,업종명,업소수
Author노원구
URLhttps://data.seoul.go.kr/dataList/OA-10992/S/1/datasetView.do

Alerts

자치구명 has constant value ""Constant

Reproduction

Analysis started2024-05-11 06:07:39.461016
Analysis finished2024-05-11 06:07:40.027478
Duration0.57 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

자치구명
Categorical

CONSTANT 

Distinct1
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size868.0 B
노원구
92 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
노원구 92
100.0%

Length

2024-05-11T15:07:40.122041image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:07:40.259251image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
노원구 92
100.0%

법정동명
Categorical

Distinct5
Distinct (%)5.4%
Missing0
Missing (%)0.0%
Memory size868.0 B
공릉동
21 
월계동
20 
상계동
20 
중계동
18 
하계동
13 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
공릉동 21
22.8%
월계동 20
21.7%
상계동 20
21.7%
중계동 18
19.6%
하계동 13
14.1%

Length

2024-05-11T15:07:40.411924image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:07:40.550556image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
공릉동 21
22.8%
월계동 20
21.7%
상계동 20
21.7%
중계동 18
19.6%
하계동 13
14.1%

업종명
Categorical

Distinct21
Distinct (%)22.8%
Missing0
Missing (%)0.0%
Memory size868.0 B
네일미용업
 
5
종합미용업
 
5
이용업
 
5
미용업
 
5
일반미용업
 
5
Other values (16)
67 

Length

Max length23
Median length16
Mean length9.2391304
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
네일미용업 5
 
5.4%
종합미용업 5
 
5.4%
이용업 5
 
5.4%
미용업 5
 
5.4%
일반미용업 5
 
5.4%
위생관리용역업 5
 
5.4%
공중이용시설 5
 
5.4%
세탁업 5
 
5.4%
피부미용업 5
 
5.4%
목욕장업 5
 
5.4%
Other values (11) 42
45.7%

Length

2024-05-11T15:07:40.740440image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
미용업 29
18.1%
네일미용업 26
16.2%
일반미용업 24
15.0%
피부미용업 24
15.0%
화장ㆍ분장 24
15.0%
종합미용업 5
 
3.1%
이용업 5
 
3.1%
위생관리용역업 5
 
3.1%
공중이용시설 5
 
3.1%
세탁업 5
 
3.1%
Other values (2) 8
 
5.0%

업소수
Real number (ℝ)

Distinct37
Distinct (%)40.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean19.293478
Minimum1
Maximum196
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size960.0 B
2024-05-11T15:07:40.938969image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12.75
median8
Q322.25
95-th percentile70
Maximum196
Range195
Interquartile range (IQR)19.5

Descriptive statistics

Standard deviation30.344737
Coefficient of variation (CV)1.5727976
Kurtosis14.292906
Mean19.293478
Median Absolute Deviation (MAD)7
Skewness3.3448145
Sum1775
Variance920.80303
MonotonicityNot monotonic
2024-05-11T15:07:41.137195image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=37)
ValueCountFrequency (%)
1 16
17.4%
3 10
 
10.9%
2 7
 
7.6%
11 4
 
4.3%
4 4
 
4.3%
14 4
 
4.3%
5 3
 
3.3%
8 3
 
3.3%
9 3
 
3.3%
33 3
 
3.3%
Other values (27) 35
38.0%
ValueCountFrequency (%)
1 16
17.4%
2 7
7.6%
3 10
10.9%
4 4
 
4.3%
5 3
 
3.3%
6 2
 
2.2%
7 2
 
2.2%
8 3
 
3.3%
9 3
 
3.3%
11 4
 
4.3%
ValueCountFrequency (%)
196 1
1.1%
135 1
1.1%
104 1
1.1%
91 1
1.1%
70 2
2.2%
57 1
1.1%
55 1
1.1%
53 1
1.1%
49 1
1.1%
47 1
1.1%

Interactions

2024-05-11T15:07:39.595358image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-05-11T15:07:41.281641image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
법정동명업종명업소수
법정동명1.0000.0000.244
업종명0.0001.0000.000
업소수0.2440.0001.000
2024-05-11T15:07:41.393952image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
법정동명업종명
법정동명1.0000.000
업종명0.0001.000
2024-05-11T15:07:41.535810image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
업소수법정동명업종명
업소수1.0000.1460.000
법정동명0.1461.0000.000
업종명0.0000.0001.000

Missing values

2024-05-11T15:07:39.803632image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-05-11T15:07:39.978215image/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
0노원구월계동숙박업(일반)3
1노원구월계동목욕장업3
2노원구월계동이용업14
3노원구월계동미용업32
4노원구월계동세탁업14
5노원구월계동위생관리용역업1
6노원구월계동공중이용시설17
7노원구월계동일반미용업53
8노원구월계동피부미용업12
9노원구월계동종합미용업11
자치구명법정동명업종명업소수
82노원구중계동종합미용업15
83노원구중계동네일미용업21
84노원구중계동일반미용업, 피부미용업2
85노원구중계동일반미용업, 네일미용업3
86노원구중계동피부미용업, 네일미용업7
87노원구중계동화장ㆍ분장 미용업5
88노원구중계동일반미용업, 화장ㆍ분장 미용업1
89노원구중계동피부미용업, 화장ㆍ분장 미용업2
90노원구중계동네일미용업, 화장ㆍ분장 미용업4
91노원구중계동일반미용업, 네일미용업, 화장ㆍ분장 미용업2