Overview

Dataset statistics

Number of variables4
Number of observations72
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.4 KiB
Average record size in memory34.8 B

Variable types

Categorical3
Numeric1

Dataset

Description자치구명,법정동명,업종명,업소수
Author강북구
URLhttps://data.seoul.go.kr/dataList/OA-10915/S/1/datasetView.do

Alerts

자치구명 has constant value ""Constant

Reproduction

Analysis started2024-05-18 07:09:38.488877
Analysis finished2024-05-18 07:09:39.401358
Duration0.91 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

자치구명
Categorical

CONSTANT 

Distinct1
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size708.0 B
강북구
72 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
강북구 72
100.0%

Length

2024-05-18T16:09:39.621081image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T16:09:40.040037image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
강북구 72
100.0%

법정동명
Categorical

Distinct4
Distinct (%)5.6%
Missing0
Missing (%)0.0%
Memory size708.0 B
미아동
22 
수유동
20 
번동
19 
우이동
11 

Length

Max length3
Median length3
Mean length2.7361111
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
미아동 22
30.6%
수유동 20
27.8%
번동 19
26.4%
우이동 11
15.3%

Length

2024-05-18T16:09:40.398757image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T16:09:40.984020image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
미아동 22
30.6%
수유동 20
27.8%
번동 19
26.4%
우이동 11
15.3%

업종명
Categorical

Distinct23
Distinct (%)31.9%
Missing0
Missing (%)0.0%
Memory size708.0 B
숙박업(일반)
 
4
세탁업
 
4
위생관리용역업
 
4
공중이용시설
 
4
일반미용업
 
4
Other values (18)
52 

Length

Max length23
Median length12
Mean length9.7638889
Min length3

Unique

Unique3 ?
Unique (%)4.2%

Sample

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

Common Values

ValueCountFrequency (%)
숙박업(일반) 4
 
5.6%
세탁업 4
 
5.6%
위생관리용역업 4
 
5.6%
공중이용시설 4
 
5.6%
일반미용업 4
 
5.6%
피부미용업 4
 
5.6%
종합미용업 4
 
5.6%
네일미용업 4
 
5.6%
목욕장업 4
 
5.6%
이용업 4
 
5.6%
Other values (13) 32
44.4%

Length

2024-05-18T16:09:41.386060image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
미용업 22
16.9%
화장ㆍ분장 21
16.2%
피부미용업 20
15.4%
일반미용업 19
14.6%
네일미용업 19
14.6%
숙박업(일반 4
 
3.1%
세탁업 4
 
3.1%
위생관리용역업 4
 
3.1%
공중이용시설 4
 
3.1%
종합미용업 4
 
3.1%
Other values (3) 9
6.9%

업소수
Real number (ℝ)

Distinct32
Distinct (%)44.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean22.125
Minimum1
Maximum281
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size780.0 B
2024-05-18T16:09:41.783504image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median6.5
Q320.25
95-th percentile56
Maximum281
Range280
Interquartile range (IQR)17.25

Descriptive statistics

Standard deviation46.333129
Coefficient of variation (CV)2.0941527
Kurtosis22.309395
Mean22.125
Median Absolute Deviation (MAD)4.5
Skewness4.5132584
Sum1593
Variance2146.7588
MonotonicityNot monotonic
2024-05-18T16:09:42.215628image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=32)
ValueCountFrequency (%)
1 9
 
12.5%
3 8
 
11.1%
2 8
 
11.1%
4 5
 
6.9%
11 3
 
4.2%
5 3
 
4.2%
20 3
 
4.2%
9 3
 
4.2%
6 3
 
4.2%
56 2
 
2.8%
Other values (22) 25
34.7%
ValueCountFrequency (%)
1 9
12.5%
2 8
11.1%
3 8
11.1%
4 5
6.9%
5 3
 
4.2%
6 3
 
4.2%
7 2
 
2.8%
8 1
 
1.4%
9 3
 
4.2%
10 1
 
1.4%
ValueCountFrequency (%)
281 1
1.4%
258 1
1.4%
107 1
1.4%
56 2
2.8%
55 1
1.4%
52 1
1.4%
44 1
1.4%
43 1
1.4%
42 1
1.4%
41 2
2.8%

Interactions

2024-05-18T16:09:38.710254image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-05-18T16:09:42.731953image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
법정동명업종명업소수
법정동명1.0000.0000.310
업종명0.0001.0000.598
업소수0.3100.5981.000
2024-05-18T16:09:42.991096image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
업종명법정동명
업종명1.0000.000
법정동명0.0001.000
2024-05-18T16:09:43.267706image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
업소수법정동명업종명
업소수1.0000.1230.302
법정동명0.1231.0000.000
업종명0.3020.0001.000

Missing values

2024-05-18T16:09:39.023599image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-05-18T16:09:39.294689image/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
0강북구미아동숙박업(일반)52
1강북구미아동목욕장업11
2강북구미아동이용업42
3강북구미아동미용업1
4강북구미아동세탁업56
5강북구미아동위생관리용역업20
6강북구미아동공중이용시설56
7강북구미아동일반미용업281
8강북구미아동피부미용업55
9강북구미아동종합미용업20
자치구명법정동명업종명업소수
62강북구우이동목욕장업1
63강북구우이동이용업2
64강북구우이동세탁업6
65강북구우이동위생관리용역업2
66강북구우이동공중이용시설3
67강북구우이동일반미용업13
68강북구우이동피부미용업2
69강북구우이동종합미용업1
70강북구우이동숙박업(생활)1
71강북구우이동네일미용업1