Overview

Dataset statistics

Number of variables5
Number of observations102
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory4.2 KiB
Average record size in memory42.3 B

Variable types

Categorical4
Boolean1

Dataset

Description샘플 데이터
Author한국신용데이터
URLhttps://bigdata-region.kr/#/dataset/7dfd7487-2f00-4f3e-bef3-5ba4e5e04565

Alerts

년월 has constant value ""Constant
매출평균액 has constant value ""Constant

Reproduction

Analysis started2023-12-22 20:40:19.996396
Analysis finished2023-12-22 20:40:21.114502
Duration1.12 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

년월
Categorical

CONSTANT 

Distinct1
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size948.0 B
Mar-23
102 

Length

Max length6
Median length6
Mean length6
Min length6

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowMar-23
2nd rowMar-23
3rd rowMar-23
4th rowMar-23
5th rowMar-23

Common Values

ValueCountFrequency (%)
Mar-23 102
100.0%

Length

2023-12-22T20:40:21.403939image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-22T20:40:21.733301image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
mar-23 102
100.0%

시도명
Categorical

Distinct17
Distinct (%)16.7%
Missing0
Missing (%)0.0%
Memory size948.0 B
강원도
 
6
경기도
 
6
경상남도
 
6
경상북도
 
6
광주광역시
 
6
Other values (12)
72 

Length

Max length7
Median length5
Mean length4.6470588
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
강원도 6
 
5.9%
경기도 6
 
5.9%
경상남도 6
 
5.9%
경상북도 6
 
5.9%
광주광역시 6
 
5.9%
대구광역시 6
 
5.9%
대전광역시 6
 
5.9%
부산광역시 6
 
5.9%
서울특별시 6
 
5.9%
세종특별자치시 6
 
5.9%
Other values (7) 42
41.2%

Length

2023-12-22T20:40:22.125972image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
강원도 6
 
5.9%
세종특별자치시 6
 
5.9%
충청남도 6
 
5.9%
제주특별자치도 6
 
5.9%
전라북도 6
 
5.9%
전라남도 6
 
5.9%
인천광역시 6
 
5.9%
울산광역시 6
 
5.9%
서울특별시 6
 
5.9%
경기도 6
 
5.9%
Other values (7) 42
41.2%

업종명
Categorical

Distinct3
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size948.0 B
서비스업
34 
외식업
34 
유통업
34 

Length

Max length4
Median length3
Mean length3.3333333
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row서비스업
2nd row서비스업
3rd row외식업
4th row외식업
5th row유통업

Common Values

ValueCountFrequency (%)
서비스업 34
33.3%
외식업 34
33.3%
유통업 34
33.3%

Length

2023-12-22T20:40:22.581601image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-22T20:40:22.938117image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
서비스업 34
33.3%
외식업 34
33.3%
유통업 34
33.3%

프랜차이즈여부
Boolean

Distinct2
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size234.0 B
True
51 
False
51 
ValueCountFrequency (%)
True 51
50.0%
False 51
50.0%
2023-12-22T20:40:23.418818image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

매출평균액
Categorical

CONSTANT 

Distinct1
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size948.0 B
10000000
102 

Length

Max length8
Median length8
Mean length8
Min length8

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row10000000
2nd row10000000
3rd row10000000
4th row10000000
5th row10000000

Common Values

ValueCountFrequency (%)
10000000 102
100.0%

Length

2023-12-22T20:40:23.777316image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-22T20:40:24.193809image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
10000000 102
100.0%

Correlations

2023-12-22T20:40:24.382084image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
시도명업종명프랜차이즈여부
시도명1.0000.0000.000
업종명0.0001.0000.000
프랜차이즈여부0.0000.0001.000
2023-12-22T20:40:24.781288image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
프랜차이즈여부업종명시도명
프랜차이즈여부1.0000.0000.000
업종명0.0001.0000.000
시도명0.0000.0001.000
2023-12-22T20:40:25.229715image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
시도명업종명프랜차이즈여부
시도명1.0000.0000.000
업종명0.0001.0000.000
프랜차이즈여부0.0000.0001.000

Missing values

2023-12-22T20:40:20.582099image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-22T20:40:21.009230image/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

년월시도명업종명프랜차이즈여부매출평균액
0Mar-23강원도서비스업Y10000000
1Mar-23강원도서비스업N10000000
2Mar-23강원도외식업Y10000000
3Mar-23강원도외식업N10000000
4Mar-23강원도유통업Y10000000
5Mar-23강원도유통업N10000000
6Mar-23경기도서비스업Y10000000
7Mar-23경기도서비스업N10000000
8Mar-23경기도외식업Y10000000
9Mar-23경기도외식업N10000000
년월시도명업종명프랜차이즈여부매출평균액
92Mar-23충청남도외식업Y10000000
93Mar-23충청남도외식업N10000000
94Mar-23충청남도유통업Y10000000
95Mar-23충청남도유통업N10000000
96Mar-23충청북도서비스업Y10000000
97Mar-23충청북도서비스업N10000000
98Mar-23충청북도외식업Y10000000
99Mar-23충청북도외식업N10000000
100Mar-23충청북도유통업Y10000000
101Mar-23충청북도유통업N10000000