Overview

Dataset statistics

Number of variables4
Number of observations83
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.9 KiB
Average record size in memory35.6 B

Variable types

Categorical2
Text1
Numeric1

Dataset

Description자치구코드,자치구명,법정동명,업소수
Author종로구
URLhttps://data.seoul.go.kr/dataList/OA-9815/S/1/datasetView.do

Alerts

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

Reproduction

Analysis started2024-05-10 23:15:46.471080
Analysis finished2024-05-10 23:15:47.459218
Duration0.99 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

자치구코드
Categorical

CONSTANT 

Distinct1
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size796.0 B
3000000
83 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3000000
2nd row3000000
3rd row3000000
4th row3000000
5th row3000000

Common Values

ValueCountFrequency (%)
3000000 83
100.0%

Length

2024-05-10T23:15:47.671941image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-10T23:15:47.998224image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3000000 83
100.0%

자치구명
Categorical

CONSTANT 

Distinct1
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size796.0 B
종로구
83 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
종로구 83
100.0%

Length

2024-05-10T23:15:48.453720image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-10T23:15:48.860633image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
종로구 83
100.0%

법정동명
Text

UNIQUE 

Distinct83
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size796.0 B
2024-05-10T23:15:49.600777image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length5
Median length3
Mean length3.1084337
Min length2

Characters and Unicode

Total characters258
Distinct characters102
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

Unique83 ?
Unique (%)100.0%

Sample

1st row가회동
2nd row견지동
3rd row경운동
4th row계동
5th row공평동
ValueCountFrequency (%)
가회동 1
 
1.2%
안국동 1
 
1.2%
종로3가 1
 
1.2%
종로2가 1
 
1.2%
종로1가 1
 
1.2%
적선동 1
 
1.2%
재동 1
 
1.2%
장사동 1
 
1.2%
인의동 1
 
1.2%
인사동 1
 
1.2%
Other values (73) 73
88.0%
2024-05-10T23:15:50.893846image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
동 71
27.5%
가 13
 
5.0%
로 9
 
3.5%
종 7
 
2.7%
신 6
 
2.3%
인 5
 
1.9%
륜 4
 
1.6%
명 4
 
1.6%
지 4
 
1.6%
원 3
 
1.2%
Other values (92) 132
51.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 246
95.3%
Decimal Number 12
 
4.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 71
28.9%
가 13
 
5.3%
로 9
 
3.7%
종 7
 
2.8%
신 6
 
2.4%
인 5
 
2.0%
륜 4
 
1.6%
명 4
 
1.6%
지 4
 
1.6%
원 3
 
1.2%
Other values (86) 120
48.8%
Decimal Number
ValueCountFrequency (%)
1 3
25.0%
2 3
25.0%
4 2
16.7%
3 2
16.7%
6 1
 
8.3%
5 1
 
8.3%

Most occurring scripts

ValueCountFrequency (%)
Hangul 246
95.3%
Common 12
 
4.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 71
28.9%
가 13
 
5.3%
로 9
 
3.7%
종 7
 
2.8%
신 6
 
2.4%
인 5
 
2.0%
륜 4
 
1.6%
명 4
 
1.6%
지 4
 
1.6%
원 3
 
1.2%
Other values (86) 120
48.8%
Common
ValueCountFrequency (%)
1 3
25.0%
2 3
25.0%
4 2
16.7%
3 2
16.7%
6 1
 
8.3%
5 1
 
8.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 246
95.3%
ASCII 12
 
4.7%

Most frequent character per block

Hangul
ValueCountFrequency (%)
동 71
28.9%
가 13
 
5.3%
로 9
 
3.7%
종 7
 
2.8%
신 6
 
2.4%
인 5
 
2.0%
륜 4
 
1.6%
명 4
 
1.6%
지 4
 
1.6%
원 3
 
1.2%
Other values (86) 120
48.8%
ASCII
ValueCountFrequency (%)
1 3
25.0%
2 3
25.0%
4 2
16.7%
3 2
16.7%
6 1
 
8.3%
5 1
 
8.3%

업소수
Real number (ℝ)

Distinct35
Distinct (%)42.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean17.144578
Minimum1
Maximum150
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size879.0 B
2024-05-10T23:15:51.312534image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q15.5
median12
Q320.5
95-th percentile40.5
Maximum150
Range149
Interquartile range (IQR)15

Descriptive statistics

Standard deviation23.345827
Coefficient of variation (CV)1.3617032
Kurtosis21.371225
Mean17.144578
Median Absolute Deviation (MAD)7
Skewness4.2683289
Sum1423
Variance545.02762
MonotonicityNot monotonic
2024-05-10T23:15:51.889321image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=35)
ValueCountFrequency (%)
4 8
 
9.6%
7 7
 
8.4%
9 5
 
6.0%
1 4
 
4.8%
5 4
 
4.8%
14 4
 
4.8%
13 4
 
4.8%
6 3
 
3.6%
21 3
 
3.6%
8 3
 
3.6%
Other values (25) 38
45.8%
ValueCountFrequency (%)
1 4
4.8%
2 2
 
2.4%
3 3
 
3.6%
4 8
9.6%
5 4
4.8%
6 3
 
3.6%
7 7
8.4%
8 3
 
3.6%
9 5
6.0%
10 1
 
1.2%
ValueCountFrequency (%)
150 1
1.2%
141 1
1.2%
61 1
1.2%
55 1
1.2%
41 1
1.2%
36 2
2.4%
32 1
1.2%
30 1
1.2%
28 1
1.2%
27 2
2.4%

Interactions

2024-05-10T23:15:46.733302image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-05-10T23:15:52.161275image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
법정동명업소수
법정동명1.0001.000
업소수1.0001.000

Missing values

2024-05-10T23:15:47.074153image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-05-10T23:15:47.352442image/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
03000000종로구가회동7
13000000종로구견지동9
23000000종로구경운동9
33000000종로구계동9
43000000종로구공평동4
53000000종로구관수동19
63000000종로구관철동55
73000000종로구관훈동21
83000000종로구교남동4
93000000종로구교북동7
자치구코드자치구명법정동명업소수
733000000종로구평동9
743000000종로구평창동36
753000000종로구필운동8
763000000종로구행촌동6
773000000종로구혜화동23
783000000종로구홍지동8
793000000종로구홍파동6
803000000종로구화동2
813000000종로구효자동1
823000000종로구효제동27