Overview

Dataset statistics

Number of variables4
Number of observations74
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.6 KiB
Average record size in memory35.8 B

Variable types

Categorical2
Text1
Numeric1

Dataset

Description자치구코드,자치구명,법정동명,업소수
Author중구
URLhttps://data.seoul.go.kr/dataList/OA-10199/S/1/datasetView.do

Alerts

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

Reproduction

Analysis started2024-05-10 23:50:29.423874
Analysis finished2024-05-10 23:50:30.363086
Duration0.94 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

자치구코드
Categorical

CONSTANT 

Distinct1
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size724.0 B
3010000
74 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3010000
2nd row3010000
3rd row3010000
4th row3010000
5th row3010000

Common Values

ValueCountFrequency (%)
3010000 74
100.0%

Length

2024-05-10T23:50:30.570477image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-10T23:50:30.901720image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3010000 74
100.0%

자치구명
Categorical

CONSTANT 

Distinct1
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size724.0 B
중구
74 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
중구 74
100.0%

Length

2024-05-10T23:50:31.414897image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-10T23:50:31.834483image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
중구 74
100.0%

법정동명
Text

UNIQUE 

Distinct74
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size724.0 B
2024-05-10T23:50:32.576995image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length5
Mean length4.1621622
Min length2

Characters and Unicode

Total characters308
Distinct characters66
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

Unique74 ?
Unique (%)100.0%

Sample

1st row광희동1가
2nd row광희동2가
3rd row남대문로1가
4th row남대문로2가
5th row남대문로3가
ValueCountFrequency (%)
광희동1가 1
 
1.4%
주교동 1
 
1.4%
저동2가 1
 
1.4%
저동1가 1
 
1.4%
장충동2가 1
 
1.4%
장충동1가 1
 
1.4%
장교동 1
 
1.4%
입정동 1
 
1.4%
인현동2가 1
 
1.4%
인현동1가 1
 
1.4%
Other values (64) 64
86.5%
2024-05-10T23:50:34.336556image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
동 52
16.9%
가 45
 
14.6%
로 22
 
7.1%
1 16
 
5.2%
2 15
 
4.9%
남 10
 
3.2%
충 8
 
2.6%
지 7
 
2.3%
무 7
 
2.3%
을 7
 
2.3%
Other values (56) 119
38.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 263
85.4%
Decimal Number 45
 
14.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 52
19.8%
가 45
17.1%
로 22
 
8.4%
남 10
 
3.8%
충 8
 
3.0%
지 7
 
2.7%
무 7
 
2.7%
을 7
 
2.7%
문 6
 
2.3%
산 5
 
1.9%
Other values (49) 94
35.7%
Decimal Number
ValueCountFrequency (%)
1 16
35.6%
2 15
33.3%
3 6
 
13.3%
5 3
 
6.7%
4 3
 
6.7%
7 1
 
2.2%
6 1
 
2.2%

Most occurring scripts

ValueCountFrequency (%)
Hangul 263
85.4%
Common 45
 
14.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 52
19.8%
가 45
17.1%
로 22
 
8.4%
남 10
 
3.8%
충 8
 
3.0%
지 7
 
2.7%
무 7
 
2.7%
을 7
 
2.7%
문 6
 
2.3%
산 5
 
1.9%
Other values (49) 94
35.7%
Common
ValueCountFrequency (%)
1 16
35.6%
2 15
33.3%
3 6
 
13.3%
5 3
 
6.7%
4 3
 
6.7%
7 1
 
2.2%
6 1
 
2.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 263
85.4%
ASCII 45
 
14.6%

Most frequent character per block

Hangul
ValueCountFrequency (%)
동 52
19.8%
가 45
17.1%
로 22
 
8.4%
남 10
 
3.8%
충 8
 
3.0%
지 7
 
2.7%
무 7
 
2.7%
을 7
 
2.7%
문 6
 
2.3%
산 5
 
1.9%
Other values (49) 94
35.7%
ASCII
ValueCountFrequency (%)
1 16
35.6%
2 15
33.3%
3 6
 
13.3%
5 3
 
6.7%
4 3
 
6.7%
7 1
 
2.2%
6 1
 
2.2%

업소수
Real number (ℝ)

Distinct69
Distinct (%)93.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean159.41892
Minimum1
Maximum1909
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size798.0 B
2024-05-10T23:50:35.025619image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile17.3
Q150.25
median106
Q3197
95-th percentile360.1
Maximum1909
Range1908
Interquartile range (IQR)146.75

Descriptive statistics

Standard deviation235.39131
Coefficient of variation (CV)1.4765582
Kurtosis42.582428
Mean159.41892
Median Absolute Deviation (MAD)63.5
Skewness5.8908695
Sum11797
Variance55409.069
MonotonicityNot monotonic
2024-05-10T23:50:35.560691image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
69 2
 
2.7%
72 2
 
2.7%
88 2
 
2.7%
44 2
 
2.7%
130 2
 
2.7%
169 1
 
1.4%
170 1
 
1.4%
50 1
 
1.4%
221 1
 
1.4%
54 1
 
1.4%
Other values (59) 59
79.7%
ValueCountFrequency (%)
1 1
1.4%
9 1
1.4%
13 1
1.4%
16 1
1.4%
18 1
1.4%
19 1
1.4%
22 1
1.4%
23 1
1.4%
32 1
1.4%
33 1
1.4%
ValueCountFrequency (%)
1909 1
1.4%
630 1
1.4%
402 1
1.4%
390 1
1.4%
344 1
1.4%
343 1
1.4%
322 1
1.4%
307 1
1.4%
273 1
1.4%
262 1
1.4%

Interactions

2024-05-10T23:50:29.637510image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-05-10T23:50:35.849080image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
법정동명업소수
법정동명1.0001.000
업소수1.0001.000

Missing values

2024-05-10T23:50:29.985729image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-05-10T23:50:30.230014image/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
03010000중구광희동1가169
13010000중구광희동2가51
23010000중구남대문로1가18
33010000중구남대문로2가55
43010000중구남대문로3가44
53010000중구남대문로4가105
63010000중구남대문로5가322
73010000중구남산동1가37
83010000중구남산동2가98
93010000중구남산동3가23
자치구코드자치구명법정동명업소수
643010000중구태평로1가147
653010000중구태평로2가181
663010000중구필동1가101
673010000중구필동2가228
683010000중구필동3가137
693010000중구황학동630
703010000중구회현동1가216
713010000중구회현동2가61
723010000중구회현동3가32
733010000중구흥인동151