Overview

Dataset statistics

Number of variables4
Number of observations89
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory3.1 KiB
Average record size in memory35.5 B

Variable types

Categorical2
Text1
Numeric1

Dataset

Description자치구코드,자치구명,법정동명,업소수
Author종로구
URLhttps://data.seoul.go.kr/dataList/OA-9814/S/1/datasetView.do

Alerts

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

Reproduction

Analysis started2024-05-04 04:51:23.183425
Analysis finished2024-05-04 04:51:24.584982
Duration1.4 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

자치구코드
Categorical

CONSTANT 

Distinct1
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size844.0 B
3000000
89 

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 89
100.0%

Length

2024-05-04T04:51:24.771141image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T04:51:25.291190image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3000000 89
100.0%

자치구명
Categorical

CONSTANT 

Distinct1
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size844.0 B
종로구
89 

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 89
100.0%

Length

2024-05-04T04:51:25.877486image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T04:51:26.303405image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
종로구 89
100.0%

법정동명
Text

UNIQUE 

Distinct89
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size844.0 B
2024-05-04T04:51:27.061363image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length5
Median length3
Mean length3.1235955
Min length2

Characters and Unicode

Total characters278
Distinct characters108
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

Unique89 ?
Unique (%)100.0%

Sample

1st row가회동
2nd row갈현동
3rd row견지동
4th row경운동
5th row계동
ValueCountFrequency (%)
가회동 1
 
1.1%
신문로2가 1
 
1.1%
종로3가 1
 
1.1%
종로2가 1
 
1.1%
종로1가 1
 
1.1%
적선동 1
 
1.1%
재동 1
 
1.1%
장사동 1
 
1.1%
인의동 1
 
1.1%
인사동 1
 
1.1%
Other values (79) 79
88.8%
2024-05-04T04:51:28.574941image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
동 77
27.7%
가 14
 
5.0%
로 9
 
3.2%
종 7
 
2.5%
신 6
 
2.2%
인 5
 
1.8%
지 4
 
1.4%
운 4
 
1.4%
1 4
 
1.4%
사 4
 
1.4%
Other values (98) 144
51.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 265
95.3%
Decimal Number 13
 
4.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 77
29.1%
가 14
 
5.3%
로 9
 
3.4%
종 7
 
2.6%
신 6
 
2.3%
인 5
 
1.9%
지 4
 
1.5%
운 4
 
1.5%
사 4
 
1.5%
명 4
 
1.5%
Other values (92) 131
49.4%
Decimal Number
ValueCountFrequency (%)
1 4
30.8%
2 3
23.1%
3 2
15.4%
4 2
15.4%
6 1
 
7.7%
5 1
 
7.7%

Most occurring scripts

ValueCountFrequency (%)
Hangul 265
95.3%
Common 13
 
4.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 77
29.1%
가 14
 
5.3%
로 9
 
3.4%
종 7
 
2.6%
신 6
 
2.3%
인 5
 
1.9%
지 4
 
1.5%
운 4
 
1.5%
사 4
 
1.5%
명 4
 
1.5%
Other values (92) 131
49.4%
Common
ValueCountFrequency (%)
1 4
30.8%
2 3
23.1%
3 2
15.4%
4 2
15.4%
6 1
 
7.7%
5 1
 
7.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 265
95.3%
ASCII 13
 
4.7%

Most frequent character per block

Hangul
ValueCountFrequency (%)
동 77
29.1%
가 14
 
5.3%
로 9
 
3.4%
종 7
 
2.6%
신 6
 
2.3%
인 5
 
1.9%
지 4
 
1.5%
운 4
 
1.5%
사 4
 
1.5%
명 4
 
1.5%
Other values (92) 131
49.4%
ASCII
ValueCountFrequency (%)
1 4
30.8%
2 3
23.1%
3 2
15.4%
4 2
15.4%
6 1
 
7.7%
5 1
 
7.7%

업소수
Real number (ℝ)

Distinct75
Distinct (%)84.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean131.19101
Minimum1
Maximum741
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size933.0 B
2024-05-04T04:51:29.201519image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile7.4
Q157
median98
Q3168
95-th percentile355
Maximum741
Range740
Interquartile range (IQR)111

Descriptive statistics

Standard deviation120.59115
Coefficient of variation (CV)0.91920281
Kurtosis8.5235418
Mean131.19101
Median Absolute Deviation (MAD)47
Skewness2.479564
Sum11676
Variance14542.224
MonotonicityNot monotonic
2024-05-04T04:51:29.821364image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
68 3
 
3.4%
1 3
 
3.4%
122 3
 
3.4%
52 3
 
3.4%
116 2
 
2.2%
197 2
 
2.2%
49 2
 
2.2%
89 2
 
2.2%
42 2
 
2.2%
91 2
 
2.2%
Other values (65) 65
73.0%
ValueCountFrequency (%)
1 3
3.4%
3 1
 
1.1%
7 1
 
1.1%
8 1
 
1.1%
18 1
 
1.1%
25 1
 
1.1%
31 1
 
1.1%
33 1
 
1.1%
34 1
 
1.1%
42 2
2.2%
ValueCountFrequency (%)
741 1
1.1%
575 1
1.1%
462 1
1.1%
358 1
1.1%
357 1
1.1%
352 1
1.1%
296 1
1.1%
295 1
1.1%
273 1
1.1%
262 1
1.1%

Interactions

2024-05-04T04:51:23.527565image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-05-04T04:51:30.216733image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
법정동명업소수
법정동명1.0001.000
업소수1.0001.000

Missing values

2024-05-04T04:51:23.971858image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-05-04T04:51:24.414507image/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
03000000종로구가회동63
13000000종로구갈현동1
23000000종로구견지동68
33000000종로구경운동54
43000000종로구계동171
53000000종로구공평동81
63000000종로구관수동153
73000000종로구관철동462
83000000종로구관훈동295
93000000종로구교남동49
자치구코드자치구명법정동명업소수
793000000종로구평동106
803000000종로구평창동206
813000000종로구필운동122
823000000종로구행촌동42
833000000종로구혜화동176
843000000종로구홍지동91
853000000종로구홍파동31
863000000종로구화동55
873000000종로구효자동25
883000000종로구효제동169