Overview

Dataset statistics

Number of variables4
Number of observations33
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.2 KiB
Average record size in memory38.0 B

Variable types

Categorical2
Text1
Numeric1

Dataset

Description자치구코드,자치구명,법정동명,업소수
Author영등포구
URLhttps://data.seoul.go.kr/dataList/OA-10430/S/1/datasetView.do

Alerts

자치구코드 has constant value ""Constant
자치구명 has constant value ""Constant
법정동명 has unique valuesUnique
업소수 has unique valuesUnique

Reproduction

Analysis started2024-05-11 06:05:42.752419
Analysis finished2024-05-11 06:05:43.263441
Duration0.51 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

자치구코드
Categorical

CONSTANT 

Distinct1
Distinct (%)3.0%
Missing0
Missing (%)0.0%
Memory size396.0 B
3180000
33 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3180000
2nd row3180000
3rd row3180000
4th row3180000
5th row3180000

Common Values

ValueCountFrequency (%)
3180000 33
100.0%

Length

2024-05-11T15:05:43.362831image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:05:43.496173image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3180000 33
100.0%

자치구명
Categorical

CONSTANT 

Distinct1
Distinct (%)3.0%
Missing0
Missing (%)0.0%
Memory size396.0 B
영등포구
33 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영등포구 33
100.0%

Length

2024-05-11T15:05:43.643188image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:05:43.785776image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영등포구 33
100.0%

법정동명
Text

UNIQUE 

Distinct33
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size396.0 B
2024-05-11T15:05:44.141484image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length5
Mean length4.8787879
Min length3

Characters and Unicode

Total characters161
Distinct characters27
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique33 ?
Unique (%)100.0%

Sample

1st row당산동
2nd row당산동1가
3rd row당산동2가
4th row당산동3가
5th row당산동4가
ValueCountFrequency (%)
당산동 1
 
3.0%
양평동2가 1
 
3.0%
영등포동7가 1
 
3.0%
영등포동6가 1
 
3.0%
영등포동5가 1
 
3.0%
영등포동4가 1
 
3.0%
영등포동3가 1
 
3.0%
영등포동2가 1
 
3.0%
영등포동1가 1
 
3.0%
영등포동 1
 
3.0%
Other values (23) 23
69.7%
2024-05-11T15:05:44.712261image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
33
20.5%
26
16.1%
9
 
5.6%
9
 
5.6%
9
 
5.6%
7
 
4.3%
7
 
4.3%
7
 
4.3%
6
 
3.7%
6
 
3.7%
Other values (17) 42
26.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 135
83.9%
Decimal Number 26
 
16.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
33
24.4%
26
19.3%
9
 
6.7%
9
 
6.7%
9
 
6.7%
7
 
5.2%
7
 
5.2%
7
 
5.2%
6
 
4.4%
6
 
4.4%
Other values (9) 16
11.9%
Decimal Number
ValueCountFrequency (%)
6 4
15.4%
5 4
15.4%
4 4
15.4%
3 4
15.4%
2 4
15.4%
1 4
15.4%
7 1
 
3.8%
8 1
 
3.8%

Most occurring scripts

ValueCountFrequency (%)
Hangul 135
83.9%
Common 26
 
16.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
33
24.4%
26
19.3%
9
 
6.7%
9
 
6.7%
9
 
6.7%
7
 
5.2%
7
 
5.2%
7
 
5.2%
6
 
4.4%
6
 
4.4%
Other values (9) 16
11.9%
Common
ValueCountFrequency (%)
6 4
15.4%
5 4
15.4%
4 4
15.4%
3 4
15.4%
2 4
15.4%
1 4
15.4%
7 1
 
3.8%
8 1
 
3.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 135
83.9%
ASCII 26
 
16.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
33
24.4%
26
19.3%
9
 
6.7%
9
 
6.7%
9
 
6.7%
7
 
5.2%
7
 
5.2%
7
 
5.2%
6
 
4.4%
6
 
4.4%
Other values (9) 16
11.9%
ASCII
ValueCountFrequency (%)
6 4
15.4%
5 4
15.4%
4 4
15.4%
3 4
15.4%
2 4
15.4%
1 4
15.4%
7 1
 
3.8%
8 1
 
3.8%

업소수
Real number (ℝ)

UNIQUE 

Distinct33
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean431.39394
Minimum8
Maximum3524
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size429.0 B
2024-05-11T15:05:44.937679image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum8
5-th percentile56.2
Q1159
median225
Q3369
95-th percentile1611.8
Maximum3524
Range3516
Interquartile range (IQR)210

Descriptive statistics

Standard deviation663.48874
Coefficient of variation (CV)1.5380113
Kurtosis15.29481
Mean431.39394
Median Absolute Deviation (MAD)83
Skewness3.6965562
Sum14236
Variance440217.31
MonotonicityNot monotonic
2024-05-11T15:05:45.154284image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=33)
ValueCountFrequency (%)
110 1
 
3.0%
65 1
 
3.0%
473 1
 
3.0%
225 1
 
3.0%
43 1
 
3.0%
8 1
 
3.0%
3524 1
 
3.0%
369 1
 
3.0%
148 1
 
3.0%
280 1
 
3.0%
Other values (23) 23
69.7%
ValueCountFrequency (%)
8 1
3.0%
43 1
3.0%
65 1
3.0%
68 1
3.0%
110 1
3.0%
145 1
3.0%
148 1
3.0%
156 1
3.0%
159 1
3.0%
170 1
3.0%
ValueCountFrequency (%)
3524 1
3.0%
1643 1
3.0%
1591 1
3.0%
673 1
3.0%
623 1
3.0%
473 1
3.0%
437 1
3.0%
429 1
3.0%
369 1
3.0%
327 1
3.0%

Interactions

2024-05-11T15:05:42.870417image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-05-11T15:05:45.299788image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
법정동명업소수
법정동명1.0001.000
업소수1.0001.000

Missing values

2024-05-11T15:05:43.079337image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-05-11T15:05:43.205949image/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

자치구코드자치구명법정동명업소수
03180000영등포구당산동110
13180000영등포구당산동1가280
23180000영등포구당산동2가200
33180000영등포구당산동3가673
43180000영등포구당산동4가266
53180000영등포구당산동5가196
63180000영등포구당산동6가265
73180000영등포구대림동1591
83180000영등포구도림동327
93180000영등포구문래동1가68
자치구코드자치구명법정동명업소수
233180000영등포구여의도동3524
243180000영등포구영등포동369
253180000영등포구영등포동1가65
263180000영등포구영등포동2가148
273180000영등포구영등포동3가437
283180000영등포구영등포동4가429
293180000영등포구영등포동5가221
303180000영등포구영등포동6가159
313180000영등포구영등포동7가308
323180000영등포구영등포동8가156