Overview

Dataset statistics

Number of variables4
Number of observations116
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory3.9 KiB
Average record size in memory34.1 B

Variable types

Categorical3
Numeric1

Dataset

Description자치구명,법정동명,업종명,업소수
Author중랑구
URLhttps://data.seoul.go.kr/dataList/OA-10299/S/1/datasetView.do

Alerts

자치구명 has constant value ""Constant

Reproduction

Analysis started2024-05-17 22:07:33.689943
Analysis finished2024-05-17 22:07:34.778217
Duration1.09 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

자치구명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
중랑구
116 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
중랑구 116
100.0%

Length

2024-05-18T07:07:34.997846image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T07:07:35.297429image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
중랑구 116
100.0%

법정동명
Categorical

Distinct6
Distinct (%)5.2%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
면목동
23 
묵동
20 
망우동
19 
상봉동
18 
중화동
18 

Length

Max length3
Median length3
Mean length2.8275862
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
면목동 23
19.8%
묵동 20
17.2%
망우동 19
16.4%
상봉동 18
15.5%
중화동 18
15.5%
신내동 18
15.5%

Length

2024-05-18T07:07:35.818607image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T07:07:36.249583image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
면목동 23
19.8%
묵동 20
17.2%
망우동 19
16.4%
상봉동 18
15.5%
중화동 18
15.5%
신내동 18
15.5%

업종명
Categorical

Distinct24
Distinct (%)20.7%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
숙박업(일반)
 
6
네일미용업
 
6
이용업
 
6
미용업
 
6
피부미용업
 
6
Other values (19)
86 

Length

Max length23
Median length12
Mean length9.2155172
Min length3

Unique

Unique3 ?
Unique (%)2.6%

Sample

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

Common Values

ValueCountFrequency (%)
숙박업(일반) 6
 
5.2%
네일미용업 6
 
5.2%
이용업 6
 
5.2%
미용업 6
 
5.2%
피부미용업 6
 
5.2%
위생관리용역업 6
 
5.2%
공중이용시설 6
 
5.2%
일반미용업 6
 
5.2%
세탁업 6
 
5.2%
종합미용업 6
 
5.2%
Other values (14) 56
48.3%

Length

2024-05-18T07:07:36.705410image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
미용업 40
20.0%
화장ㆍ분장 34
17.0%
네일미용업 30
15.0%
일반미용업 26
13.0%
피부미용업 24
12.0%
숙박업(일반 6
 
3.0%
이용업 6
 
3.0%
위생관리용역업 6
 
3.0%
공중이용시설 6
 
3.0%
세탁업 6
 
3.0%
Other values (5) 16
 
8.0%

업소수
Real number (ℝ)

Distinct36
Distinct (%)31.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean15.612069
Minimum1
Maximum164
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2024-05-18T07:07:37.171230image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12.75
median9
Q318.25
95-th percentile55.75
Maximum164
Range163
Interquartile range (IQR)15.5

Descriptive statistics

Standard deviation22.401386
Coefficient of variation (CV)1.4348762
Kurtosis18.317716
Mean15.612069
Median Absolute Deviation (MAD)7
Skewness3.6343737
Sum1811
Variance501.82211
MonotonicityNot monotonic
2024-05-18T07:07:37.850615image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=36)
ValueCountFrequency (%)
1 19
16.4%
3 12
 
10.3%
2 10
 
8.6%
13 6
 
5.2%
17 6
 
5.2%
19 5
 
4.3%
7 5
 
4.3%
4 4
 
3.4%
12 4
 
3.4%
6 4
 
3.4%
Other values (26) 41
35.3%
ValueCountFrequency (%)
1 19
16.4%
2 10
8.6%
3 12
10.3%
4 4
 
3.4%
5 3
 
2.6%
6 4
 
3.4%
7 5
 
4.3%
8 1
 
0.9%
10 2
 
1.7%
11 2
 
1.7%
ValueCountFrequency (%)
164 1
0.9%
107 1
0.9%
71 1
0.9%
66 2
1.7%
58 1
0.9%
55 1
0.9%
46 2
1.7%
45 1
0.9%
41 1
0.9%
39 2
1.7%

Interactions

2024-05-18T07:07:34.019601image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-05-18T07:07:38.268144image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
법정동명업종명업소수
법정동명1.0000.0000.000
업종명0.0001.0000.192
업소수0.0000.1921.000
2024-05-18T07:07:38.645747image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
법정동명업종명
법정동명1.0000.000
업종명0.0001.000
2024-05-18T07:07:38.880758image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
업소수법정동명업종명
업소수1.0000.0000.063
법정동명0.0001.0000.000
업종명0.0630.0001.000

Missing values

2024-05-18T07:07:34.388180image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-05-18T07:07:34.639589image/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
0중랑구면목동숙박업(일반)26
1중랑구면목동목욕장업6
2중랑구면목동이용업55
3중랑구면목동미용업107
4중랑구면목동세탁업58
5중랑구면목동위생관리용역업19
6중랑구면목동기타위생용품제조업1
7중랑구면목동공중이용시설31
8중랑구면목동일반미용업164
9중랑구면목동피부미용업46
자치구명법정동명업종명업소수
106중랑구신내동일반미용업39
107중랑구신내동피부미용업17
108중랑구신내동종합미용업10
109중랑구신내동네일미용업18
110중랑구신내동일반미용업, 피부미용업1
111중랑구신내동화장ㆍ분장 미용업3
112중랑구신내동일반미용업, 화장ㆍ분장 미용업2
113중랑구신내동피부미용업, 화장ㆍ분장 미용업2
114중랑구신내동네일미용업, 화장ㆍ분장 미용업3
115중랑구신내동일반미용업, 네일미용업, 화장ㆍ분장 미용업1