Overview

Dataset statistics

Number of variables6
Number of observations189
Missing cells88
Missing cells (%)7.8%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory9.0 KiB
Average record size in memory48.7 B

Variable types

Categorical2
Text3
DateTime1

Dataset

Description이 데이터는 충청남도 금산군의 휴게음식점(업종명, 업소명, 도로명주소, 업태명, 전화번호, 데이터기준일자)에 대한 정보를 제공합니다.
Author충청남도
URLhttps://alldam.chungnam.go.kr/index.chungnam?menuCd=DOM_000000201001001001&st=&cds=&orgCd=&apiType=&isOpen=Y&pageIndex=104&beforeMenuCd=DOM_000000201001001000&publicdatapk=15099801

Alerts

업종명 has constant value ""Constant
데이터기준일자 has constant value ""Constant
소재지전화 has 88 (46.6%) missing valuesMissing

Reproduction

Analysis started2024-01-09 19:53:21.392980
Analysis finished2024-01-09 19:53:21.800566
Duration0.41 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

업종명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
휴게음식점
189 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
휴게음식점 189
100.0%

Length

2024-01-10T04:53:21.854151image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T04:53:21.928788image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
휴게음식점 189
100.0%

업소명
Text

Distinct188
Distinct (%)99.5%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
2024-01-10T04:53:22.157268image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length26
Median length23
Mean length8.2275132
Min length1

Characters and Unicode

Total characters1555
Distinct characters322
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique187 ?
Unique (%)98.9%

Sample

1st row수다방
2nd row금은다방
3rd row대한다방
4th row국제다방
5th row하늘다방
ValueCountFrequency (%)
인삼랜드(상)휴게소 11
 
4.3%
주)케이알산업 11
 
4.3%
금산인삼랜드(하)휴게소 10
 
3.9%
카페 4
 
1.6%
씨유 3
 
1.2%
주)케이알산업인삼랜드(상)휴게소 3
 
1.2%
세븐일레븐 2
 
0.8%
꽃다방 2
 
0.8%
호두과자 2
 
0.8%
쏠플레르 1
 
0.4%
Other values (205) 205
80.7%
2024-01-10T04:53:22.516162image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
산 67
 
4.3%
65
 
4.2%
금 49
 
3.2%
( 49
 
3.2%
) 49
 
3.2%
카 36
 
2.3%
점 36
 
2.3%
페 35
 
2.3%
드 31
 
2.0%
이 30
 
1.9%
Other values (312) 1108
71.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1310
84.2%
Space Separator 65
 
4.2%
Open Punctuation 49
 
3.2%
Close Punctuation 49
 
3.2%
Uppercase Letter 34
 
2.2%
Decimal Number 26
 
1.7%
Lowercase Letter 18
 
1.2%
Other Punctuation 3
 
0.2%
Dash Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
산 67
 
5.1%
금 49
 
3.7%
카 36
 
2.7%
점 36
 
2.7%
페 35
 
2.7%
드 31
 
2.4%
이 30
 
2.3%
인 29
 
2.2%
삼 29
 
2.2%
방 28
 
2.1%
Other values (275) 940
71.8%
Uppercase Letter
ValueCountFrequency (%)
C 6
17.6%
S 6
17.6%
G 6
17.6%
P 3
8.8%
I 3
8.8%
A 2
 
5.9%
U 2
 
5.9%
D 1
 
2.9%
O 1
 
2.9%
R 1
 
2.9%
Other values (3) 3
8.8%
Lowercase Letter
ValueCountFrequency (%)
e 3
16.7%
n 2
11.1%
u 2
11.1%
t 2
11.1%
c 2
11.1%
a 1
 
5.6%
f 1
 
5.6%
h 1
 
5.6%
k 1
 
5.6%
i 1
 
5.6%
Other values (2) 2
11.1%
Decimal Number
ValueCountFrequency (%)
2 9
34.6%
5 8
30.8%
3 5
19.2%
8 2
 
7.7%
4 1
 
3.8%
7 1
 
3.8%
Other Punctuation
ValueCountFrequency (%)
. 2
66.7%
& 1
33.3%
Space Separator
ValueCountFrequency (%)
65
100.0%
Open Punctuation
ValueCountFrequency (%)
( 49
100.0%
Close Punctuation
ValueCountFrequency (%)
) 49
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1310
84.2%
Common 193
 
12.4%
Latin 52
 
3.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
산 67
 
5.1%
금 49
 
3.7%
카 36
 
2.7%
점 36
 
2.7%
페 35
 
2.7%
드 31
 
2.4%
이 30
 
2.3%
인 29
 
2.2%
삼 29
 
2.2%
방 28
 
2.1%
Other values (275) 940
71.8%
Latin
ValueCountFrequency (%)
C 6
 
11.5%
S 6
 
11.5%
G 6
 
11.5%
P 3
 
5.8%
e 3
 
5.8%
I 3
 
5.8%
n 2
 
3.8%
u 2
 
3.8%
A 2
 
3.8%
t 2
 
3.8%
Other values (15) 17
32.7%
Common
ValueCountFrequency (%)
65
33.7%
( 49
25.4%
) 49
25.4%
2 9
 
4.7%
5 8
 
4.1%
3 5
 
2.6%
. 2
 
1.0%
8 2
 
1.0%
4 1
 
0.5%
7 1
 
0.5%
Other values (2) 2
 
1.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1310
84.2%
ASCII 245
 
15.8%

Most frequent character per block

Hangul
ValueCountFrequency (%)
산 67
 
5.1%
금 49
 
3.7%
카 36
 
2.7%
점 36
 
2.7%
페 35
 
2.7%
드 31
 
2.4%
이 30
 
2.3%
인 29
 
2.2%
삼 29
 
2.2%
방 28
 
2.1%
Other values (275) 940
71.8%
ASCII
ValueCountFrequency (%)
65
26.5%
( 49
20.0%
) 49
20.0%
2 9
 
3.7%
5 8
 
3.3%
C 6
 
2.4%
S 6
 
2.4%
G 6
 
2.4%
3 5
 
2.0%
P 3
 
1.2%
Other values (27) 39
15.9%

소재지(도로명)
Text

Distinct163
Distinct (%)86.2%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
2024-01-10T04:53:22.741766image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length49
Median length40
Mean length23.26455
Min length18

Characters and Unicode

Total characters4397
Distinct characters164
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique156 ?
Unique (%)82.5%

Sample

1st row충청남도 금산군 금산읍 건삼전1길 20-8
2nd row충청남도 금산군 금산읍 건삼전길 22-10
3rd row충청남도 금산군 금산읍 오리정1길 51
4th row충청남도 금산군 금산읍 인삼약초로 45
5th row충청남도 금산군 금산읍 건삼전1길 30
ValueCountFrequency (%)
충청남도 189
18.1%
금산군 189
18.1%
금산읍 107
 
10.2%
1층 35
 
3.3%
추부면 31
 
3.0%
비단로 25
 
2.4%
군북면 25
 
2.4%
대암길 14
 
1.3%
34-30 14
 
1.3%
인삼로 14
 
1.3%
Other values (239) 402
38.5%
2024-01-10T04:53:23.086538image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
856
19.5%
산 339
 
7.7%
금 325
 
7.4%
군 218
 
5.0%
남 195
 
4.4%
청 193
 
4.4%
충 189
 
4.3%
도 189
 
4.3%
1 169
 
3.8%
로 129
 
2.9%
Other values (154) 1595
36.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2755
62.7%
Space Separator 856
 
19.5%
Decimal Number 656
 
14.9%
Other Punctuation 64
 
1.5%
Dash Punctuation 39
 
0.9%
Close Punctuation 11
 
0.3%
Open Punctuation 11
 
0.3%
Uppercase Letter 3
 
0.1%
Math Symbol 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
산 339
12.3%
금 325
11.8%
군 218
 
7.9%
남 195
 
7.1%
청 193
 
7.0%
충 189
 
6.9%
도 189
 
6.9%
로 129
 
4.7%
읍 108
 
3.9%
면 82
 
3.0%
Other values (135) 788
28.6%
Decimal Number
ValueCountFrequency (%)
1 169
25.8%
3 106
16.2%
0 90
13.7%
2 57
 
8.7%
4 56
 
8.5%
6 46
 
7.0%
5 42
 
6.4%
7 40
 
6.1%
8 27
 
4.1%
9 23
 
3.5%
Uppercase Letter
ValueCountFrequency (%)
G 1
33.3%
S 1
33.3%
A 1
33.3%
Space Separator
ValueCountFrequency (%)
856
100.0%
Other Punctuation
ValueCountFrequency (%)
, 64
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 39
100.0%
Close Punctuation
ValueCountFrequency (%)
) 11
100.0%
Open Punctuation
ValueCountFrequency (%)
( 11
100.0%
Math Symbol
ValueCountFrequency (%)
~ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2755
62.7%
Common 1639
37.3%
Latin 3
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
산 339
12.3%
금 325
11.8%
군 218
 
7.9%
남 195
 
7.1%
청 193
 
7.0%
충 189
 
6.9%
도 189
 
6.9%
로 129
 
4.7%
읍 108
 
3.9%
면 82
 
3.0%
Other values (135) 788
28.6%
Common
ValueCountFrequency (%)
856
52.2%
1 169
 
10.3%
3 106
 
6.5%
0 90
 
5.5%
, 64
 
3.9%
2 57
 
3.5%
4 56
 
3.4%
6 46
 
2.8%
5 42
 
2.6%
7 40
 
2.4%
Other values (6) 113
 
6.9%
Latin
ValueCountFrequency (%)
G 1
33.3%
S 1
33.3%
A 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2755
62.7%
ASCII 1642
37.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
856
52.1%
1 169
 
10.3%
3 106
 
6.5%
0 90
 
5.5%
, 64
 
3.9%
2 57
 
3.5%
4 56
 
3.4%
6 46
 
2.8%
5 42
 
2.6%
7 40
 
2.4%
Other values (9) 116
 
7.1%
Hangul
ValueCountFrequency (%)
산 339
12.3%
금 325
11.8%
군 218
 
7.9%
남 195
 
7.1%
청 193
 
7.0%
충 189
 
6.9%
도 189
 
6.9%
로 129
 
4.7%
읍 108
 
3.9%
면 82
 
3.0%
Other values (135) 788
28.6%

소재지전화
Text

MISSING 

Distinct80
Distinct (%)79.2%
Missing88
Missing (%)46.6%
Memory size1.6 KiB
2024-01-10T04:53:23.274551image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length14
Mean length13.980198
Min length13

Characters and Unicode

Total characters1412
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique78 ?
Unique (%)77.2%

Sample

1st row 041- 754-3370
2nd row 041- 754-4063
3rd row041 -753 -6276
4th row041 -751 -2236
5th row - 751-4078
ValueCountFrequency (%)
041 94
32.6%
751 41
14.2%
754 19
 
6.6%
9200 14
 
4.9%
753 14
 
4.9%
752 10
 
3.5%
2892 9
 
3.1%
5
 
1.7%
750 2
 
0.7%
7714 1
 
0.3%
Other values (79) 79
27.4%
2024-01-10T04:53:23.563074image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
214
15.2%
- 202
14.3%
0 168
11.9%
1 164
11.6%
4 143
10.1%
7 141
10.0%
5 131
9.3%
2 86
6.1%
3 53
 
3.8%
9 40
 
2.8%
Other values (2) 70
 
5.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 996
70.5%
Space Separator 214
 
15.2%
Dash Punctuation 202
 
14.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 168
16.9%
1 164
16.5%
4 143
14.4%
7 141
14.2%
5 131
13.2%
2 86
8.6%
3 53
 
5.3%
9 40
 
4.0%
6 38
 
3.8%
8 32
 
3.2%
Space Separator
ValueCountFrequency (%)
214
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 202
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1412
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
214
15.2%
- 202
14.3%
0 168
11.9%
1 164
11.6%
4 143
10.1%
7 141
10.0%
5 131
9.3%
2 86
6.1%
3 53
 
3.8%
9 40
 
2.8%
Other values (2) 70
 
5.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1412
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
214
15.2%
- 202
14.3%
0 168
11.9%
1 164
11.6%
4 143
10.1%
7 141
10.0%
5 131
9.3%
2 86
6.1%
3 53
 
3.8%
9 40
 
2.8%
Other values (2) 70
 
5.0%

업태명
Categorical

Distinct12
Distinct (%)6.3%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
커피숍
57 
기타 휴게음식점
46 
고속도로
23 
다방
20 
편의점
19 
Other values (7)
24 

Length

Max length8
Median length6
Mean length4.4391534
Min length2

Unique

Unique2 ?
Unique (%)1.1%

Sample

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

Common Values

ValueCountFrequency (%)
커피숍 57
30.2%
기타 휴게음식점 46
24.3%
고속도로 23
12.2%
다방 20
 
10.6%
편의점 19
 
10.1%
패스트푸드 11
 
5.8%
일반조리판매 4
 
2.1%
떡카페 3
 
1.6%
전통찻집 2
 
1.1%
푸드트럭 2
 
1.1%
Other values (2) 2
 
1.1%

Length

2024-01-10T04:53:23.673060image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
커피숍 57
24.3%
기타 46
19.6%
휴게음식점 46
19.6%
고속도로 23
9.8%
다방 20
 
8.5%
편의점 19
 
8.1%
패스트푸드 11
 
4.7%
일반조리판매 4
 
1.7%
떡카페 3
 
1.3%
전통찻집 2
 
0.9%
Other values (3) 4
 
1.7%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
Minimum2022-03-31 00:00:00
Maximum2022-03-31 00:00:00
2024-01-10T04:53:23.745722image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T04:53:23.816126image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Correlations

2024-01-10T04:53:23.866882image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
소재지전화업태명
소재지전화1.0000.999
업태명0.9991.000

Missing values

2024-01-10T04:53:21.686933image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-01-10T04:53:21.767046image/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

업종명업소명소재지(도로명)소재지전화업태명데이터기준일자
0휴게음식점수다방충청남도 금산군 금산읍 건삼전1길 20-8041- 754-3370다방2022-03-31
1휴게음식점금은다방충청남도 금산군 금산읍 건삼전길 22-10041- 754-4063다방2022-03-31
2휴게음식점대한다방충청남도 금산군 금산읍 오리정1길 51041 -753 -6276다방2022-03-31
3휴게음식점국제다방충청남도 금산군 금산읍 인삼약초로 45041 -751 -2236다방2022-03-31
4휴게음식점하늘다방충청남도 금산군 금산읍 건삼전1길 30- 751-4078다방2022-03-31
5휴게음식점대둔산절경에 숲속에 찻집충청남도 금산군 진산면 대둔산로 6- 753-4242커피숍2022-03-31
6휴게음식점영생다방충청남도 금산군 금산읍 뒷담말5길 16041 -751 -2548다방2022-03-31
7휴게음식점선다방충청남도 금산군 추부면 삼육로 10- 753-8709다방2022-03-31
8휴게음식점롯데리아금산점충청남도 금산군 금산읍 인삼로 71 (엔이상가 신축공사 주1동 101호)- 754-7012패스트푸드2022-03-31
9휴게음식점썬다방충청남도 금산군 금산읍 비범로 12<NA>다방2022-03-31
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