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/22ff771f-6e43-4a42-9ac3-c02ee1ca7e39

Alerts

년월 has constant value ""Constant
오전매출금액비율 has constant value ""Constant
오후매출금액비율 has constant value ""Constant
저녁매출금액비율 has constant value ""Constant
심야매출금액비율 has constant value ""Constant
새벽매출금액비율 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 14:18:25.923450
Analysis finished2023-12-10 14:18:26.541240
Duration0.62 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

2023-12-10T23:18:26.656425image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T23:18:26.826815image/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
Sep-21
30 

Length

Max length6
Median length6
Mean length6
Min length6

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
Sep-21 30
100.0%

Length

2023-12-10T23:18:27.011737image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T23:18:27.142920image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
sep-21 30
100.0%

업종명
Categorical

HIGH CORRELATION 

Distinct10
Distinct (%)33.3%
Missing0
Missing (%)0.0%
Memory size372.0 B
전체
17 
건설업
4 
서비스업
2 
제조업
 
1
외식업
 
1
Other values (5)
5 

Length

Max length8
Median length2
Mean length2.7333333
Min length2

Unique

Unique7 ?
Unique (%)23.3%

Sample

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

Common Values

ValueCountFrequency (%)
전체 17
56.7%
건설업 4
 
13.3%
서비스업 2
 
6.7%
제조업 1
 
3.3%
외식업 1
 
3.3%
부동산업 1
 
3.3%
농업/임업/어업 1
 
3.3%
정보통신업 1
 
3.3%
기타 1
 
3.3%
유통업 1
 
3.3%

Length

2023-12-10T23:18:27.299758image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T23:18:27.757528image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
전체 17
56.7%
건설업 4
 
13.3%
서비스업 2
 
6.7%
제조업 1
 
3.3%
외식업 1
 
3.3%
부동산업 1
 
3.3%
농업/임업/어업 1
 
3.3%
정보통신업 1
 
3.3%
기타 1
 
3.3%
유통업 1
 
3.3%

시도명
Text

Distinct18
Distinct (%)60.0%
Missing0
Missing (%)0.0%
Memory size372.0 B
2023-12-10T23:18:27.961120image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length5
Mean length3.8333333
Min length2

Characters and Unicode

Total characters115
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

Unique13 ?
Unique (%)43.3%

Sample

1st row전국
2nd row전국
3rd row전국
4th row전국
5th row전국
ValueCountFrequency (%)
전국 9
30.0%
경상남도 2
 
6.7%
서울특별시 2
 
6.7%
경상북도 2
 
6.7%
대구광역시 2
 
6.7%
대전광역시 1
 
3.3%
부산광역시 1
 
3.3%
인천광역시 1
 
3.3%
울산광역시 1
 
3.3%
제주특별자치도 1
 
3.3%
Other values (8) 8
26.7%
2023-12-10T23:18:28.338284image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
전 12
 
10.4%
도 11
 
9.6%
시 10
 
8.7%
국 9
 
7.8%
광 8
 
7.0%
역 7
 
6.1%
경 5
 
4.3%
북 4
 
3.5%
별 4
 
3.5%
특 4
 
3.5%
Other values (22) 41
35.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 115
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
전 12
 
10.4%
도 11
 
9.6%
시 10
 
8.7%
국 9
 
7.8%
광 8
 
7.0%
역 7
 
6.1%
경 5
 
4.3%
북 4
 
3.5%
별 4
 
3.5%
특 4
 
3.5%
Other values (22) 41
35.7%

Most occurring scripts

ValueCountFrequency (%)
Hangul 115
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
전 12
 
10.4%
도 11
 
9.6%
시 10
 
8.7%
국 9
 
7.8%
광 8
 
7.0%
역 7
 
6.1%
경 5
 
4.3%
북 4
 
3.5%
별 4
 
3.5%
특 4
 
3.5%
Other values (22) 41
35.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 115
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
전 12
 
10.4%
도 11
 
9.6%
시 10
 
8.7%
국 9
 
7.8%
광 8
 
7.0%
역 7
 
6.1%
경 5
 
4.3%
북 4
 
3.5%
별 4
 
3.5%
특 4
 
3.5%
Other values (22) 41
35.7%

오전매출금액비율
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

2023-12-10T23:18:28.548653image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T23:18:28.698067image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
16.5 30
100.0%

오후매출금액비율
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

2023-12-10T23:18:28.856523image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T23:18:28.997592image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
50.5 30
100.0%

저녁매출금액비율
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

2023-12-10T23:18:29.164226image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T23:18:29.284532image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
28.5 30
100.0%

심야매출금액비율
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

2023-12-10T23:18:29.415125image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T23:18:29.544166image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
4 30
100.0%

새벽매출금액비율
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

2023-12-10T23:18:29.701319image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T23:18:29.849915image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0.5 30
100.0%

Correlations

2023-12-10T23:18:29.930066image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
유형명업종명시도명
유형명1.0000.8830.799
업종명0.8831.0000.000
시도명0.7990.0001.000
2023-12-10T23:18:30.061757image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
업종명유형명
업종명1.0000.706
유형명0.7061.000
2023-12-10T23:18:30.172460image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
유형명업종명
유형명1.0000.706
업종명0.7061.000

Missing values

2023-12-10T23:18:26.252645image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-10T23:18:26.470326image/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

유형명년월업종명시도명오전매출금액비율오후매출금액비율저녁매출금액비율심야매출금액비율새벽매출금액비율
0업종Sep-21제조업전국16.550.528.540.5
1업종Sep-21건설업전국16.550.528.540.5
2업종Sep-21외식업전국16.550.528.540.5
3업종Sep-21부동산업전국16.550.528.540.5
4업종Sep-21농업/임업/어업전국16.550.528.540.5
5업종Sep-21서비스업전국16.550.528.540.5
6업종Sep-21정보통신업전국16.550.528.540.5
7업종Sep-21기타전국16.550.528.540.5
8업종Sep-21유통업전국16.550.528.540.5
9지역Sep-21전체전라북도16.550.528.540.5
유형명년월업종명시도명오전매출금액비율오후매출금액비율저녁매출금액비율심야매출금액비율새벽매출금액비율
20지역Sep-21전체제주특별자치도16.550.528.540.5
21지역Sep-21전체울산광역시16.550.528.540.5
22지역Sep-21전체대구광역시16.550.528.540.5
23지역Sep-21전체인천광역시16.550.528.540.5
24지역Sep-21전체경상북도16.550.528.540.5
25지역Sep-21전체세종특별자치시16.550.528.540.5
26지역x업종Sep-21건설업경상북도16.550.528.540.5
27지역x업종Sep-21건설업서울특별시16.550.528.540.5
28지역x업종Sep-21서비스업대구광역시16.550.528.540.5
29지역x업종Sep-21건설업경상남도16.550.528.540.5