Overview

Dataset statistics

Number of variables9
Number of observations30
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.4 KiB
Average record size in memory81.4 B

Variable types

Categorical8
Text1

Dataset

Description샘플 데이터
Author한국신용데이터
URLhttps://bigdata-region.kr/#/dataset/c2fe5f85-47ee-412a-9d11-415e21f3ef66

Alerts

년월 has constant value ""Constant
오전매출건수비율 has constant value ""Constant
오후매출건수비율 has constant value ""Constant
저녁매출건수비율 has constant value ""Constant
심야매출건수비율 has constant value ""Constant
새벽매출건수비율 has constant value ""Constant
유형명 is highly overall correlated with 업종명High correlation
업종명 is highly overall correlated with 유형명High correlation

Reproduction

Analysis started2023-12-10 14:16:40.947483
Analysis finished2023-12-10 14:16:41.883984
Duration0.94 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

유형명
Categorical

HIGH CORRELATION 

Distinct3
Distinct (%)10.0%
Missing0
Missing (%)0.0%
Memory size372.0 B
지역
17 
업종
9 
지역x업종
4 

Length

Max length5
Median length2
Mean length2.4
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
지역 17
56.7%
업종 9
30.0%
지역x업종 4
 
13.3%

Length

2023-12-10T23:16:42.090974image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T23:16:42.392692image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
지역 17
56.7%
업종 9
30.0%
지역x업종 4
 
13.3%

년월
Categorical

CONSTANT 

Distinct1
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size372.0 B
Oct-21
30 

Length

Max length6
Median length6
Mean length6
Min length6

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowOct-21
2nd rowOct-21
3rd rowOct-21
4th rowOct-21
5th rowOct-21

Common Values

ValueCountFrequency (%)
Oct-21 30
100.0%

Length

2023-12-10T23:16:43.010496image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T23:16:43.190978image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
oct-21 30
100.0%

업종명
Categorical

HIGH CORRELATION 

Distinct10
Distinct (%)33.3%
Missing0
Missing (%)0.0%
Memory size372.0 B
전체
17 
제조업
3 
정보통신업
2 
기타
2 
건설업
 
1
Other values (5)
5 

Length

Max length8
Median length2
Mean length2.7333333
Min length2

Unique

Unique6 ?
Unique (%)20.0%

Sample

1st row건설업
2nd row부동산업
3rd row농업/임업/어업
4th row정보통신업
5th row제조업

Common Values

ValueCountFrequency (%)
전체 17
56.7%
제조업 3
 
10.0%
정보통신업 2
 
6.7%
기타 2
 
6.7%
건설업 1
 
3.3%
부동산업 1
 
3.3%
농업/임업/어업 1
 
3.3%
유통업 1
 
3.3%
외식업 1
 
3.3%
서비스업 1
 
3.3%

Length

2023-12-10T23:16:43.412678image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T23:16:43.719665image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
전체 17
56.7%
제조업 3
 
10.0%
정보통신업 2
 
6.7%
기타 2
 
6.7%
건설업 1
 
3.3%
부동산업 1
 
3.3%
농업/임업/어업 1
 
3.3%
유통업 1
 
3.3%
외식업 1
 
3.3%
서비스업 1
 
3.3%

시도명
Text

Distinct18
Distinct (%)60.0%
Missing0
Missing (%)0.0%
Memory size372.0 B
2023-12-10T23:16:44.048287image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length5
Mean length3.8666667
Min length2

Characters and Unicode

Total characters116
Distinct characters32
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique14 ?
Unique (%)46.7%

Sample

1st row전국
2nd row전국
3rd row전국
4th row전국
5th row전국
ValueCountFrequency (%)
전국 9
30.0%
대구광역시 3
 
10.0%
경상남도 2
 
6.7%
서울특별시 2
 
6.7%
충청남도 1
 
3.3%
경상북도 1
 
3.3%
대전광역시 1
 
3.3%
경기도 1
 
3.3%
전라남도 1
 
3.3%
전라북도 1
 
3.3%
Other values (8) 8
26.7%
2023-12-10T23:16:44.595862image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
전 12
 
10.3%
시 11
 
9.5%
도 10
 
8.6%
광 9
 
7.8%
국 9
 
7.8%
역 8
 
6.9%
특 4
 
3.4%
대 4
 
3.4%
경 4
 
3.4%
남 4
 
3.4%
Other values (22) 41
35.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 116
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
전 12
 
10.3%
시 11
 
9.5%
도 10
 
8.6%
광 9
 
7.8%
국 9
 
7.8%
역 8
 
6.9%
특 4
 
3.4%
대 4
 
3.4%
경 4
 
3.4%
남 4
 
3.4%
Other values (22) 41
35.3%

Most occurring scripts

ValueCountFrequency (%)
Hangul 116
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
전 12
 
10.3%
시 11
 
9.5%
도 10
 
8.6%
광 9
 
7.8%
국 9
 
7.8%
역 8
 
6.9%
특 4
 
3.4%
대 4
 
3.4%
경 4
 
3.4%
남 4
 
3.4%
Other values (22) 41
35.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 116
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
전 12
 
10.3%
시 11
 
9.5%
도 10
 
8.6%
광 9
 
7.8%
국 9
 
7.8%
역 8
 
6.9%
특 4
 
3.4%
대 4
 
3.4%
경 4
 
3.4%
남 4
 
3.4%
Other values (22) 41
35.3%

오전매출건수비율
Categorical

CONSTANT 

Distinct1
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size372.0 B
16.5
30 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row16.5
2nd row16.5
3rd row16.5
4th row16.5
5th row16.5

Common Values

ValueCountFrequency (%)
16.5 30
100.0%

Length

2023-12-10T23:16:44.927100image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T23:16:45.157146image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
16.5 30
100.0%

오후매출건수비율
Categorical

CONSTANT 

Distinct1
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size372.0 B
50.5
30 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row50.5
2nd row50.5
3rd row50.5
4th row50.5
5th row50.5

Common Values

ValueCountFrequency (%)
50.5 30
100.0%

Length

2023-12-10T23:16:45.380399image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T23:16:45.562650image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
50.5 30
100.0%

저녁매출건수비율
Categorical

CONSTANT 

Distinct1
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size372.0 B
28.5
30 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row28.5
2nd row28.5
3rd row28.5
4th row28.5
5th row28.5

Common Values

ValueCountFrequency (%)
28.5 30
100.0%

Length

2023-12-10T23:16:45.800104image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T23:16:46.001413image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
28.5 30
100.0%

심야매출건수비율
Categorical

CONSTANT 

Distinct1
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size372.0 B
4
30 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row4
2nd row4
3rd row4
4th row4
5th row4

Common Values

ValueCountFrequency (%)
4 30
100.0%

Length

2023-12-10T23:16:46.214684image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T23:16:46.395615image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
4 30
100.0%

새벽매출건수비율
Categorical

CONSTANT 

Distinct1
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size372.0 B
0.5
30 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.5
2nd row0.5
3rd row0.5
4th row0.5
5th row0.5

Common Values

ValueCountFrequency (%)
0.5 30
100.0%

Length

2023-12-10T23:16:46.586797image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T23:16:46.761425image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0.5 30
100.0%

Correlations

2023-12-10T23:16:46.875713image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
유형명업종명시도명
유형명1.0000.8420.877
업종명0.8421.0000.000
시도명0.8770.0001.000
2023-12-10T23:16:47.047498image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
유형명업종명
유형명1.0000.646
업종명0.6461.000
2023-12-10T23:16:47.191325image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
유형명업종명
유형명1.0000.646
업종명0.6461.000

Missing values

2023-12-10T23:16:41.424690image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-10T23:16:41.788676image/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

유형명년월업종명시도명오전매출건수비율오후매출건수비율저녁매출건수비율심야매출건수비율새벽매출건수비율
0업종Oct-21건설업전국16.550.528.540.5
1업종Oct-21부동산업전국16.550.528.540.5
2업종Oct-21농업/임업/어업전국16.550.528.540.5
3업종Oct-21정보통신업전국16.550.528.540.5
4업종Oct-21제조업전국16.550.528.540.5
5업종Oct-21기타전국16.550.528.540.5
6업종Oct-21유통업전국16.550.528.540.5
7업종Oct-21외식업전국16.550.528.540.5
8업종Oct-21서비스업전국16.550.528.540.5
9지역Oct-21전체부산광역시16.550.528.540.5
유형명년월업종명시도명오전매출건수비율오후매출건수비율저녁매출건수비율심야매출건수비율새벽매출건수비율
20지역Oct-21전체울산광역시16.550.528.540.5
21지역Oct-21전체전라북도16.550.528.540.5
22지역Oct-21전체전라남도16.550.528.540.5
23지역Oct-21전체경기도16.550.528.540.5
24지역Oct-21전체대전광역시16.550.528.540.5
25지역Oct-21전체충청북도16.550.528.540.5
26지역x업종Oct-21제조업서울특별시16.550.528.540.5
27지역x업종Oct-21제조업대구광역시16.550.528.540.5
28지역x업종Oct-21기타대구광역시16.550.528.540.5
29지역x업종Oct-21정보통신업경상남도16.550.528.540.5