Overview

Dataset statistics

Number of variables6
Number of observations29
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.5 KiB
Average record size in memory53.6 B

Variable types

Categorical5
Text1

Dataset

Description샘플 데이터
Author경기도경제과학진흥원
URLhttps://www.bigdata-region.kr/#/dataset/ebb20ddf-70c9-459a-bb8d-f2f9604c9d02

Alerts

일반일간결제일자 has constant value ""Constant
시도명 has constant value ""Constant
시군구명 has constant value ""Constant
동명 has constant value ""Constant
총결제금액 has constant value ""Constant
가맹점업종명 has unique valuesUnique

Reproduction

Analysis started2023-12-10 14:24:59.356054
Analysis finished2023-12-10 14:24:59.591617
Duration0.24 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

일반일간결제일자
Categorical

CONSTANT 

Distinct1
Distinct (%)3.4%
Missing0
Missing (%)0.0%
Memory size364.0 B
2019-03-02
29 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2019-03-02
2nd row2019-03-02
3rd row2019-03-02
4th row2019-03-02
5th row2019-03-02

Common Values

ValueCountFrequency (%)
2019-03-02 29
100.0%

Length

2023-12-10T23:24:59.645862image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T23:24:59.721352image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2019-03-02 29
100.0%

시도명
Categorical

CONSTANT 

Distinct1
Distinct (%)3.4%
Missing0
Missing (%)0.0%
Memory size364.0 B
경기도
29 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
경기도 29
100.0%

Length

2023-12-10T23:24:59.801005image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T23:24:59.876803image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
경기도 29
100.0%

시군구명
Categorical

CONSTANT 

Distinct1
Distinct (%)3.4%
Missing0
Missing (%)0.0%
Memory size364.0 B
가평군
29 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
가평군 29
100.0%

Length

2023-12-10T23:24:59.960746image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T23:25:00.054720image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
가평군 29
100.0%

동명
Categorical

CONSTANT 

Distinct1
Distinct (%)3.4%
Missing0
Missing (%)0.0%
Memory size364.0 B
가평읍
29 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
가평읍 29
100.0%

Length

2023-12-10T23:25:00.141252image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T23:25:00.217272image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
가평읍 29
100.0%

가맹점업종명
Text

UNIQUE 

Distinct29
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size364.0 B
2023-12-10T23:25:00.404875image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length7
Mean length4.137931
Min length2

Characters and Unicode

Total characters120
Distinct characters70
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique29 ?
Unique (%)100.0%

Sample

1st row가구
2nd row건강식품
3rd row건축자재
4th row광학제품
5th row기타
ValueCountFrequency (%)
유통업 2
 
6.1%
가구 1
 
3.0%
건강식품 1
 
3.0%
자동차판매 1
 
3.0%
유지 1
 
3.0%
자동차정비 1
 
3.0%
일반휴게음식 1
 
3.0%
의원 1
 
3.0%
의류 1
 
3.0%
음료식품 1
 
3.0%
Other values (22) 22
66.7%
2023-12-10T23:25:00.735752image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
품 5
 
4.2%
업 5
 
4.2%
비 4
 
3.3%
4
 
3.3%
기 4
 
3.3%
료 3
 
2.5%
건 3
 
2.5%
통 3
 
2.5%
식 3
 
2.5%
자 3
 
2.5%
Other values (60) 83
69.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 115
95.8%
Space Separator 4
 
3.3%
Other Punctuation 1
 
0.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
품 5
 
4.3%
업 5
 
4.3%
비 4
 
3.5%
기 4
 
3.5%
료 3
 
2.6%
건 3
 
2.6%
통 3
 
2.6%
식 3
 
2.6%
자 3
 
2.6%
유 3
 
2.6%
Other values (58) 79
68.7%
Space Separator
ValueCountFrequency (%)
4
100.0%
Other Punctuation
ValueCountFrequency (%)
. 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 115
95.8%
Common 5
 
4.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
품 5
 
4.3%
업 5
 
4.3%
비 4
 
3.5%
기 4
 
3.5%
료 3
 
2.6%
건 3
 
2.6%
통 3
 
2.6%
식 3
 
2.6%
자 3
 
2.6%
유 3
 
2.6%
Other values (58) 79
68.7%
Common
ValueCountFrequency (%)
4
80.0%
. 1
 
20.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 115
95.8%
ASCII 5
 
4.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
품 5
 
4.3%
업 5
 
4.3%
비 4
 
3.5%
기 4
 
3.5%
료 3
 
2.6%
건 3
 
2.6%
통 3
 
2.6%
식 3
 
2.6%
자 3
 
2.6%
유 3
 
2.6%
Other values (58) 79
68.7%
ASCII
ValueCountFrequency (%)
4
80.0%
. 1
 
20.0%

총결제금액
Categorical

CONSTANT 

Distinct1
Distinct (%)3.4%
Missing0
Missing (%)0.0%
Memory size364.0 B
0
29 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 29
100.0%

Length

2023-12-10T23:25:00.879705image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T23:25:00.965472image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 29
100.0%

Missing values

2023-12-10T23:24:59.461278image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-10T23:24:59.557258image/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

일반일간결제일자시도명시군구명동명가맹점업종명총결제금액
02019-03-02경기도가평군가평읍가구0
12019-03-02경기도가평군가평읍건강식품0
22019-03-02경기도가평군가평읍건축자재0
32019-03-02경기도가평군가평읍광학제품0
42019-03-02경기도가평군가평읍기타0
52019-03-02경기도가평군가평읍기타의료기관0
62019-03-02경기도가평군가평읍농업0
72019-03-02경기도가평군가평읍레저업소0
82019-03-02경기도가평군가평읍레져용품0
92019-03-02경기도가평군가평읍문화.취미0
일반일간결제일자시도명시군구명동명가맹점업종명총결제금액
192019-03-02경기도가평군가평읍용역 서비스0
202019-03-02경기도가평군가평읍유통업 비영리0
212019-03-02경기도가평군가평읍유통업 영리0
222019-03-02경기도가평군가평읍음료식품0
232019-03-02경기도가평군가평읍의류0
242019-03-02경기도가평군가평읍의원0
252019-03-02경기도가평군가평읍일반휴게음식0
262019-03-02경기도가평군가평읍자동차정비 유지0
272019-03-02경기도가평군가평읍자동차판매0
282019-03-02경기도가평군가평읍전기제품0