Overview

Dataset statistics

Number of variables12
Number of observations30
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory3.0 KiB
Average record size in memory101.4 B

Variable types

Numeric1
Categorical7
Text4

Dataset

Description전라남도 신안군 다자녀행복카드가맹점 현황으로 가맹점명, 가맹점주소, 가맹점전화번호, 혜택, 제휴시작일, 제휴종료일의 데이터를 포함하고 있습니다.
Author전라남도 신안군
URLhttps://www.data.go.kr/data/15108425/fileData.do

Alerts

시도 has constant value ""Constant
시군구 has constant value ""Constant
데이터기준일자 has constant value ""Constant
혜택 is highly overall correlated with 제휴종료일High correlation
제휴시작일 is highly overall correlated with 제휴종료일High correlation
제휴종료일 is highly overall correlated with 혜택 and 1 other fieldsHigh correlation
업종명 is highly imbalanced (52.4%)Imbalance
연번 has unique valuesUnique
가맹점명 has unique valuesUnique
브랜드 has unique valuesUnique
가맹점 주소 has unique valuesUnique

Reproduction

Analysis started2023-12-12 20:55:05.069439
Analysis finished2023-12-12 20:55:06.017973
Duration0.95 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean15.5
Minimum1
Maximum30
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-13T05:55:06.095676image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2.45
Q18.25
median15.5
Q322.75
95-th percentile28.55
Maximum30
Range29
Interquartile range (IQR)14.5

Descriptive statistics

Standard deviation8.8034084
Coefficient of variation (CV)0.56796183
Kurtosis-1.2
Mean15.5
Median Absolute Deviation (MAD)7.5
Skewness0
Sum465
Variance77.5
MonotonicityStrictly increasing
2023-12-13T05:55:06.261078image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
1 1
 
3.3%
17 1
 
3.3%
30 1
 
3.3%
29 1
 
3.3%
28 1
 
3.3%
27 1
 
3.3%
26 1
 
3.3%
25 1
 
3.3%
24 1
 
3.3%
23 1
 
3.3%
Other values (20) 20
66.7%
ValueCountFrequency (%)
1 1
3.3%
2 1
3.3%
3 1
3.3%
4 1
3.3%
5 1
3.3%
6 1
3.3%
7 1
3.3%
8 1
3.3%
9 1
3.3%
10 1
3.3%
ValueCountFrequency (%)
30 1
3.3%
29 1
3.3%
28 1
3.3%
27 1
3.3%
26 1
3.3%
25 1
3.3%
24 1
3.3%
23 1
3.3%
22 1
3.3%
21 1
3.3%

시도
Categorical

CONSTANT 

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

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
전라남도 30
100.0%

Length

2023-12-13T05:55:06.418138image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T05:55:06.525401image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
전라남도 30
100.0%

시군구
Categorical

CONSTANT 

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

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
신안군 30
100.0%

Length

2023-12-13T05:55:06.632224image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T05:55:06.738821image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
신안군 30
100.0%

가맹점명
Text

UNIQUE 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size372.0 B
2023-12-13T05:55:06.945475image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length8
Mean length5.5
Min length2

Characters and Unicode

Total characters165
Distinct characters116
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique30 ?
Unique (%)100.0%

Sample

1st row보광식당
2nd row유성식당
3rd row삼양음식점(호프)
4th row섬마을음식점
5th row탑마트
ValueCountFrequency (%)
보광식당 1
 
3.1%
유성식당 1
 
3.1%
카페(cafe 1
 
3.1%
천사바다펜션 1
 
3.1%
천사바다블라썸 1
 
3.1%
카폐꽃길 1
 
3.1%
여민락방앗간 1
 
3.1%
김정인미용실 1
 
3.1%
미연 1
 
3.1%
정화혜어타운 1
 
3.1%
Other values (22) 22
68.8%
2023-12-13T05:55:07.305201image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
식 4
 
2.4%
장 4
 
2.4%
집 4
 
2.4%
횟 4
 
2.4%
도 4
 
2.4%
해 3
 
1.8%
천 3
 
1.8%
어 3
 
1.8%
수 3
 
1.8%
점 3
 
1.8%
Other values (106) 130
78.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 150
90.9%
Uppercase Letter 5
 
3.0%
Decimal Number 4
 
2.4%
Space Separator 2
 
1.2%
Close Punctuation 2
 
1.2%
Open Punctuation 2
 
1.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
식 4
 
2.7%
장 4
 
2.7%
집 4
 
2.7%
횟 4
 
2.7%
도 4
 
2.7%
해 3
 
2.0%
천 3
 
2.0%
어 3
 
2.0%
수 3
 
2.0%
점 3
 
2.0%
Other values (94) 115
76.7%
Uppercase Letter
ValueCountFrequency (%)
S 1
20.0%
E 1
20.0%
F 1
20.0%
A 1
20.0%
C 1
20.0%
Decimal Number
ValueCountFrequency (%)
2 1
25.0%
0 1
25.0%
1 1
25.0%
5 1
25.0%
Space Separator
ValueCountFrequency (%)
2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 150
90.9%
Common 10
 
6.1%
Latin 5
 
3.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
식 4
 
2.7%
장 4
 
2.7%
집 4
 
2.7%
횟 4
 
2.7%
도 4
 
2.7%
해 3
 
2.0%
천 3
 
2.0%
어 3
 
2.0%
수 3
 
2.0%
점 3
 
2.0%
Other values (94) 115
76.7%
Common
ValueCountFrequency (%)
2
20.0%
) 2
20.0%
( 2
20.0%
2 1
10.0%
0 1
10.0%
1 1
10.0%
5 1
10.0%
Latin
ValueCountFrequency (%)
S 1
20.0%
E 1
20.0%
F 1
20.0%
A 1
20.0%
C 1
20.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 150
90.9%
ASCII 15
 
9.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
식 4
 
2.7%
장 4
 
2.7%
집 4
 
2.7%
횟 4
 
2.7%
도 4
 
2.7%
해 3
 
2.0%
천 3
 
2.0%
어 3
 
2.0%
수 3
 
2.0%
점 3
 
2.0%
Other values (94) 115
76.7%
ASCII
ValueCountFrequency (%)
2
13.3%
) 2
13.3%
( 2
13.3%
2 1
6.7%
0 1
6.7%
1 1
6.7%
S 1
6.7%
E 1
6.7%
F 1
6.7%
A 1
6.7%
Other values (2) 2
13.3%

업종명
Categorical

IMBALANCE 

Distinct5
Distinct (%)16.7%
Missing0
Missing (%)0.0%
Memory size372.0 B
음식점
24 
기타
 
2
이미용
 
2
마트
 
1
민박
 
1

Length

Max length3
Median length3
Mean length2.8666667
Min length2

Unique

Unique2 ?
Unique (%)6.7%

Sample

1st row음식점
2nd row음식점
3rd row음식점
4th row음식점
5th row마트

Common Values

ValueCountFrequency (%)
음식점 24
80.0%
기타 2
 
6.7%
이미용 2
 
6.7%
마트 1
 
3.3%
민박 1
 
3.3%

Length

2023-12-13T05:55:07.447741image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T05:55:07.551948image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
음식점 24
80.0%
기타 2
 
6.7%
이미용 2
 
6.7%
마트 1
 
3.3%
민박 1
 
3.3%

브랜드
Text

UNIQUE 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size372.0 B
2023-12-13T05:55:07.772630image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length8
Mean length5.3
Min length2

Characters and Unicode

Total characters159
Distinct characters115
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique30 ?
Unique (%)100.0%

Sample

1st row보광식당
2nd row유성식당
3rd row삼양음식점(호프)
4th row섬마을음식점
5th row탑마트
ValueCountFrequency (%)
보광식당 1
 
3.2%
치킨과요리의만남 1
 
3.2%
카페(caf 1
 
3.2%
천사바다펜션 1
 
3.2%
천사바다블라썸 1
 
3.2%
카폐꽃길 1
 
3.2%
여민락방앗간 1
 
3.2%
김정인미용실 1
 
3.2%
미연 1
 
3.2%
정화혜어타운 1
 
3.2%
Other values (21) 21
67.7%
2023-12-13T05:55:08.410801image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
횟 4
 
2.5%
식 4
 
2.5%
집 4
 
2.5%
장 4
 
2.5%
도 3
 
1.9%
사 3
 
1.9%
어 3
 
1.9%
수 3
 
1.9%
점 3
 
1.9%
천 3
 
1.9%
Other values (105) 125
78.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 142
89.3%
Uppercase Letter 4
 
2.5%
Decimal Number 4
 
2.5%
Lowercase Letter 3
 
1.9%
Open Punctuation 2
 
1.3%
Close Punctuation 2
 
1.3%
Other Punctuation 1
 
0.6%
Space Separator 1
 
0.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
횟 4
 
2.8%
식 4
 
2.8%
집 4
 
2.8%
장 4
 
2.8%
도 3
 
2.1%
사 3
 
2.1%
어 3
 
2.1%
수 3
 
2.1%
점 3
 
2.1%
천 3
 
2.1%
Other values (91) 108
76.1%
Uppercase Letter
ValueCountFrequency (%)
S 1
25.0%
C 1
25.0%
A 1
25.0%
F 1
25.0%
Decimal Number
ValueCountFrequency (%)
1 1
25.0%
0 1
25.0%
2 1
25.0%
5 1
25.0%
Lowercase Letter
ValueCountFrequency (%)
l 2
66.7%
a 1
33.3%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Other Punctuation
ValueCountFrequency (%)
? 1
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 142
89.3%
Common 10
 
6.3%
Latin 7
 
4.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
횟 4
 
2.8%
식 4
 
2.8%
집 4
 
2.8%
장 4
 
2.8%
도 3
 
2.1%
사 3
 
2.1%
어 3
 
2.1%
수 3
 
2.1%
점 3
 
2.1%
천 3
 
2.1%
Other values (91) 108
76.1%
Common
ValueCountFrequency (%)
( 2
20.0%
) 2
20.0%
? 1
10.0%
1 1
10.0%
0 1
10.0%
2 1
10.0%
1
10.0%
5 1
10.0%
Latin
ValueCountFrequency (%)
l 2
28.6%
S 1
14.3%
C 1
14.3%
A 1
14.3%
F 1
14.3%
a 1
14.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 142
89.3%
ASCII 17
 
10.7%

Most frequent character per block

Hangul
ValueCountFrequency (%)
횟 4
 
2.8%
식 4
 
2.8%
집 4
 
2.8%
장 4
 
2.8%
도 3
 
2.1%
사 3
 
2.1%
어 3
 
2.1%
수 3
 
2.1%
점 3
 
2.1%
천 3
 
2.1%
Other values (91) 108
76.1%
ASCII
ValueCountFrequency (%)
l 2
11.8%
( 2
11.8%
) 2
11.8%
S 1
 
5.9%
? 1
 
5.9%
1 1
 
5.9%
0 1
 
5.9%
2 1
 
5.9%
1
 
5.9%
C 1
 
5.9%
Other values (4) 4
23.5%

가맹점 주소
Text

UNIQUE 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size372.0 B
2023-12-13T05:55:08.614502image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length27
Median length24
Mean length21.133333
Min length19

Characters and Unicode

Total characters634
Distinct characters65
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique30 ?
Unique (%)100.0%

Sample

1st row전라남도 신안군 도초면 불섬길 85-12
2nd row전라남도 신안군 비금면 읍동길 30-13
3rd row전라남도 신안군 비금면 읍동길 30-5
4th row전라남도 신안군 안좌면 중부로 832
5th row전라남도 신안군 안좌면 중부로 841
ValueCountFrequency (%)
전라남도 30
20.0%
신안군 30
20.0%
압해읍 10
 
6.7%
암태면 5
 
3.3%
압해로 5
 
3.3%
지도읍 3
 
2.0%
중부로 3
 
2.0%
월포안길 2
 
1.3%
증도면 2
 
1.3%
천사로 2
 
1.3%
Other values (50) 58
38.7%
2023-12-13T05:55:09.002820image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
120
18.9%
도 41
 
6.5%
안 34
 
5.4%
신 31
 
4.9%
전 30
 
4.7%
라 30
 
4.7%
남 30
 
4.7%
군 30
 
4.7%
면 17
 
2.7%
해 16
 
2.5%
Other values (55) 255
40.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 405
63.9%
Space Separator 120
 
18.9%
Decimal Number 94
 
14.8%
Dash Punctuation 15
 
2.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
도 41
 
10.1%
안 34
 
8.4%
신 31
 
7.7%
전 30
 
7.4%
라 30
 
7.4%
남 30
 
7.4%
군 30
 
7.4%
면 17
 
4.2%
해 16
 
4.0%
압 16
 
4.0%
Other values (43) 130
32.1%
Decimal Number
ValueCountFrequency (%)
1 16
17.0%
2 15
16.0%
7 13
13.8%
3 12
12.8%
4 9
9.6%
8 9
9.6%
9 6
 
6.4%
5 6
 
6.4%
0 5
 
5.3%
6 3
 
3.2%
Space Separator
ValueCountFrequency (%)
120
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 15
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 405
63.9%
Common 229
36.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
도 41
 
10.1%
안 34
 
8.4%
신 31
 
7.7%
전 30
 
7.4%
라 30
 
7.4%
남 30
 
7.4%
군 30
 
7.4%
면 17
 
4.2%
해 16
 
4.0%
압 16
 
4.0%
Other values (43) 130
32.1%
Common
ValueCountFrequency (%)
120
52.4%
1 16
 
7.0%
- 15
 
6.6%
2 15
 
6.6%
7 13
 
5.7%
3 12
 
5.2%
4 9
 
3.9%
8 9
 
3.9%
9 6
 
2.6%
5 6
 
2.6%
Other values (2) 8
 
3.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 405
63.9%
ASCII 229
36.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
120
52.4%
1 16
 
7.0%
- 15
 
6.6%
2 15
 
6.6%
7 13
 
5.7%
3 12
 
5.2%
4 9
 
3.9%
8 9
 
3.9%
9 6
 
2.6%
5 6
 
2.6%
Other values (2) 8
 
3.5%
Hangul
ValueCountFrequency (%)
도 41
 
10.1%
안 34
 
8.4%
신 31
 
7.7%
전 30
 
7.4%
라 30
 
7.4%
남 30
 
7.4%
군 30
 
7.4%
면 17
 
4.2%
해 16
 
4.0%
압 16
 
4.0%
Other values (43) 130
32.1%

가맹점 전화번호
Text

Distinct29
Distinct (%)96.7%
Missing0
Missing (%)0.0%
Memory size372.0 B
2023-12-13T05:55:09.236587image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length12
Mean length12.2
Min length12

Characters and Unicode

Total characters366
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique28 ?
Unique (%)93.3%

Sample

1st row061-275-2136
2nd row061-275-8878
3rd row061-262-3030
4th row061-262-0330
5th row061-261-1883
ValueCountFrequency (%)
061-271-4242 2
 
6.7%
061-275-2136 1
 
3.3%
061-275-5165 1
 
3.3%
061-271-1010 1
 
3.3%
061-271-3030 1
 
3.3%
061-271-7101 1
 
3.3%
061-271-0563 1
 
3.3%
061-271-6551 1
 
3.3%
061-271-1403 1
 
3.3%
061-271-0674 1
 
3.3%
Other values (19) 19
63.3%
2023-12-13T05:55:09.581370image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 62
16.9%
- 60
16.4%
0 56
15.3%
2 42
11.5%
6 41
11.2%
7 36
9.8%
5 24
 
6.6%
3 16
 
4.4%
4 11
 
3.0%
8 11
 
3.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 306
83.6%
Dash Punctuation 60
 
16.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 62
20.3%
0 56
18.3%
2 42
13.7%
6 41
13.4%
7 36
11.8%
5 24
 
7.8%
3 16
 
5.2%
4 11
 
3.6%
8 11
 
3.6%
9 7
 
2.3%
Dash Punctuation
ValueCountFrequency (%)
- 60
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 366
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 62
16.9%
- 60
16.4%
0 56
15.3%
2 42
11.5%
6 41
11.2%
7 36
9.8%
5 24
 
6.6%
3 16
 
4.4%
4 11
 
3.0%
8 11
 
3.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 366
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 62
16.9%
- 60
16.4%
0 56
15.3%
2 42
11.5%
6 41
11.2%
7 36
9.8%
5 24
 
6.6%
3 16
 
4.4%
4 11
 
3.0%
8 11
 
3.0%

혜택
Categorical

HIGH CORRELATION 

Distinct10
Distinct (%)33.3%
Missing0
Missing (%)0.0%
Memory size372.0 B
할인율 5% 전체품목
14 
할인율 5% 일부품목
4 
할인율 2% 일부품목
3 
할인율 3% 전체품목
2 
할인율 10% 전체품목
2 
Other values (5)
5 

Length

Max length24
Median length11
Mean length11.333333
Min length4

Unique

Unique5 ?
Unique (%)16.7%

Sample

1st row할인율 5% 전체품목
2nd row할인율 5% 전체품목
3rd row할인율 5% 전체품목
4th row할인율 5% 전체품목
5th row할인율 5% 일부품목

Common Values

ValueCountFrequency (%)
할인율 5% 전체품목 14
46.7%
할인율 5% 일부품목 4
 
13.3%
할인율 2% 일부품목 3
 
10.0%
할인율 3% 전체품목 2
 
6.7%
할인율 10% 전체품목 2
 
6.7%
포인트 10% 전체품목 1
 
3.3%
체험료 시설 사용료(숙박 포함) 30% 할인 1
 
3.3%
할인율 5% 전체품목 1
 
3.3%
음료무료 1
 
3.3%
할인율 3% 일부품목 1
 
3.3%

Length

2023-12-13T05:55:09.748760image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T05:55:09.908333image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
할인율 27
29.7%
전체품목 20
22.0%
5 19
20.9%
일부품목 8
 
8.8%
2 3
 
3.3%
3 3
 
3.3%
10 3
 
3.3%
포인트 1
 
1.1%
체험료 1
 
1.1%
시설 1
 
1.1%
Other values (5) 5
 
5.5%

제휴시작일
Categorical

HIGH CORRELATION 

Distinct10
Distinct (%)33.3%
Missing0
Missing (%)0.0%
Memory size372.0 B
2021-02-01
8 
2023-09-21
7 
2023-05-17
5 
2023-10-16
3 
2023-09-22
2 
Other values (5)
5 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique5 ?
Unique (%)16.7%

Sample

1st row2021-02-01
2nd row2021-02-01
3rd row2021-02-01
4th row2021-02-01
5th row2021-02-01

Common Values

ValueCountFrequency (%)
2021-02-01 8
26.7%
2023-09-21 7
23.3%
2023-05-17 5
16.7%
2023-10-16 3
 
10.0%
2023-09-22 2
 
6.7%
2021-03-01 1
 
3.3%
2023-05-22 1
 
3.3%
2023-05-21 1
 
3.3%
2023-05-16 1
 
3.3%
2023-10-23 1
 
3.3%

Length

2023-12-13T05:55:10.051574image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T05:55:10.184340image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2021-02-01 8
26.7%
2023-09-21 7
23.3%
2023-05-17 5
16.7%
2023-10-16 3
 
10.0%
2023-09-22 2
 
6.7%
2021-03-01 1
 
3.3%
2023-05-22 1
 
3.3%
2023-05-21 1
 
3.3%
2023-05-16 1
 
3.3%
2023-10-23 1
 
3.3%

제휴종료일
Categorical

HIGH CORRELATION 

Distinct14
Distinct (%)46.7%
Missing0
Missing (%)0.0%
Memory size372.0 B
2026-01-31
8 
2026-05-16
5 
2024-12-31
4 
2024-09-20
3 
2026-02-28
1 
Other values (9)
9 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique10 ?
Unique (%)33.3%

Sample

1st row2026-01-31
2nd row2026-01-31
3rd row2026-01-31
4th row2026-01-31
5th row2026-01-31

Common Values

ValueCountFrequency (%)
2026-01-31 8
26.7%
2026-05-16 5
16.7%
2024-12-31 4
13.3%
2024-09-20 3
 
10.0%
2026-02-28 1
 
3.3%
2026-05-21 1
 
3.3%
2026-05-20 1
 
3.3%
2026-05-15 1
 
3.3%
2023-09-21 1
 
3.3%
2022-09-22 1
 
3.3%
Other values (4) 4
13.3%

Length

2023-12-13T05:55:10.339322image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
2026-01-31 8
26.7%
2026-05-16 5
16.7%
2024-12-31 4
13.3%
2024-09-20 3
 
10.0%
2026-02-28 1
 
3.3%
2026-05-21 1
 
3.3%
2026-05-20 1
 
3.3%
2026-05-15 1
 
3.3%
2023-09-21 1
 
3.3%
2022-09-22 1
 
3.3%
Other values (4) 4
13.3%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size372.0 B
2023-11-14
30 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023-11-14
2nd row2023-11-14
3rd row2023-11-14
4th row2023-11-14
5th row2023-11-14

Common Values

ValueCountFrequency (%)
2023-11-14 30
100.0%

Length

2023-12-13T05:55:10.480482image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T05:55:10.600707image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023-11-14 30
100.0%

Interactions

2023-12-13T05:55:05.638133image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T05:55:10.694072image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번가맹점명업종명브랜드가맹점 주소가맹점 전화번호혜택제휴시작일제휴종료일
연번1.0001.0000.6721.0001.0001.0000.8040.8640.782
가맹점명1.0001.0001.0001.0001.0001.0001.0001.0001.000
업종명0.6721.0001.0001.0001.0000.0000.7140.0000.000
브랜드1.0001.0001.0001.0001.0001.0001.0001.0001.000
가맹점 주소1.0001.0001.0001.0001.0001.0001.0001.0001.000
가맹점 전화번호1.0001.0000.0001.0001.0001.0000.9461.0001.000
혜택0.8041.0000.7141.0001.0000.9461.0000.8760.898
제휴시작일0.8641.0000.0001.0001.0001.0000.8761.0000.986
제휴종료일0.7821.0000.0001.0001.0001.0000.8980.9861.000
2023-12-13T05:55:10.835455image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
혜택제휴시작일업종명제휴종료일
혜택1.0000.4450.3200.575
제휴시작일0.4451.0000.0000.836
업종명0.3200.0001.0000.000
제휴종료일0.5750.8360.0001.000
2023-12-13T05:55:10.942095image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번업종명혜택제휴시작일제휴종료일
연번1.0000.2880.3500.4260.391
업종명0.2881.0000.3200.0000.000
혜택0.3500.3201.0000.4450.575
제휴시작일0.4260.0000.4451.0000.836
제휴종료일0.3910.0000.5750.8361.000

Missing values

2023-12-13T05:55:05.781579image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T05:55:05.944954image/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

연번시도시군구가맹점명업종명브랜드가맹점 주소가맹점 전화번호혜택제휴시작일제휴종료일데이터기준일자
01전라남도신안군보광식당음식점보광식당전라남도 신안군 도초면 불섬길 85-12061-275-2136할인율 5% 전체품목2021-02-012026-01-312023-11-14
12전라남도신안군유성식당음식점유성식당전라남도 신안군 비금면 읍동길 30-13061-275-8878할인율 5% 전체품목2021-02-012026-01-312023-11-14
23전라남도신안군삼양음식점(호프)음식점삼양음식점(호프)전라남도 신안군 비금면 읍동길 30-5061-262-3030할인율 5% 전체품목2021-02-012026-01-312023-11-14
34전라남도신안군섬마을음식점음식점섬마을음식점전라남도 신안군 안좌면 중부로 832061-262-0330할인율 5% 전체품목2021-02-012026-01-312023-11-14
45전라남도신안군탑마트마트탑마트전라남도 신안군 안좌면 중부로 841061-261-1883할인율 5% 일부품목2021-02-012026-01-312023-11-14
56전라남도신안군샨샤음식점샨샤전라남도 신안군 암태면 장단고길 17-2061-271-1867할인율 5% 일부품목2021-02-012026-01-312023-11-14
67전라남도신안군압해현대오일뱅크기타압해현대오일뱅크전라남도 신안군 압해읍 압해로 611061-271-7758포인트 10% 전체품목2021-02-012026-01-312023-11-14
78전라남도신안군다도해 자연휴양림기타all전라남도 신안군 자은면 백산리 271061-240-3262체험료 시설 사용료(숙박 포함) 30% 할인2021-03-012026-02-282023-11-14
89전라남도신안군보물섬음식점보물섬전라남도 신안군 증도면 보물섬길 8061-271-0631할인율 5% 전체품목2021-02-012026-01-312023-11-14
910전라남도신안군수국반점음식점수국반점전라남도 신안군 도초면 불섬길 85-5061-275-1123할인율 5% 전체품목2023-05-222026-05-212023-11-14
연번시도시군구가맹점명업종명브랜드가맹점 주소가맹점 전화번호혜택제휴시작일제휴종료일데이터기준일자
2021전라남도신안군장수촌음식점장수촌전라남도 신안군 압해읍 압해로 423061-271-0674할인율 2% 일부품목2023-09-212025-09-212023-11-14
2122전라남도신안군사랑가든음식점사랑가든전라남도 신안군 압해읍 압해로 493061-271-1403할인율 3% 일부품목2023-09-212026-09-202023-11-14
2223전라남도신안군정화혜어타운이미용정화혜어타운전라남도 신안군 압해읍 월포안길 49-8061-271-6551할인율 3% 전체품목2023-09-212026-09-212023-11-14
2324전라남도신안군미연음식점미연전라남도 신안군 압해읍 월포안길 15-2061-271-0563할인율 5% 전체품목2023-09-212024-09-202023-11-14
2425전라남도신안군김정인미용실이미용김정인미용실전라남도 신안군 압해읍 압해로 877061-271-7101할인율 5% 일부품목2023-09-212024-09-202023-11-14
2526전라남도신안군여민락방앗간음식점여민락방앗간전라남도 신안군 압해읍 천사로 897061-271-3030할인율 5% 일부품목2023-09-222024-12-312023-11-14
2627전라남도신안군카폐꽃길음식점카폐꽃길전라남도 신안군 압태면 장단고길 7-9061-271-1010할인율 5% 전체품목2023-10-162024-12-312023-11-14
2728전라남도신안군천사바다블라썸음식점천사바다블라썸전라남도 신안군 암태면 진작지길 227-17061-271-4242할인율 10% 전체품목2023-10-162024-12-312023-11-14
2829전라남도신안군천사바다펜션민박천사바다펜션전라남도 신안군 암태면 진작지길 227-8061-271-4242할인율 5% 전체품목2023-10-162024-12-312023-11-14
2930전라남도신안군카페(CAFE) S1025음식점카페(CAF?) S1025전라남도 신안군 암태면 박달로 362-40507-1352-0636할인율 10% 전체품목2023-10-232024-10-312023-11-14