Overview

Dataset statistics

Number of variables6
Number of observations219
Missing cells114
Missing cells (%)8.7%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory10.4 KiB
Average record size in memory48.6 B

Variable types

Categorical3
Text3

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 114 (52.1%) missing valuesMissing

Reproduction

Analysis started2024-01-09 19:53:14.820857
Analysis finished2024-01-09 19:53:15.281645
Duration0.46 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

업종명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
휴게음식점
219 

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 219
100.0%

Length

2024-01-10T04:53:15.326451image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T04:53:15.400144image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
휴게음식점 219
100.0%

업소명
Text

Distinct217
Distinct (%)99.1%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
2024-01-10T04:53:15.585166image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length22
Mean length7.9315068
Min length1

Characters and Unicode

Total characters1737
Distinct characters357
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

Unique215 ?
Unique (%)98.2%

Sample

1st row수다방
2nd row여로다방
3rd row대운다방
4th row금은다방
5th row대한다방
ValueCountFrequency (%)
금산인삼랜드(하)휴게소 10
 
3.5%
인삼랜드(상)휴게소 10
 
3.5%
주)케이알산업 10
 
3.5%
카페 4
 
1.4%
씨유 4
 
1.4%
충남금산점 3
 
1.1%
주)케이알산업인삼랜드(상)휴게소 3
 
1.1%
호두과자 2
 
0.7%
세븐일레븐 2
 
0.7%
미리내 2
 
0.7%
Other values (232) 233
82.3%
2024-01-10T04:53:15.894494image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
산 78
 
4.5%
64
 
3.7%
금 61
 
3.5%
) 50
 
2.9%
( 50
 
2.9%
점 50
 
2.9%
카 34
 
2.0%
이 34
 
2.0%
페 33
 
1.9%
방 30
 
1.7%
Other values (347) 1253
72.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1468
84.5%
Space Separator 64
 
3.7%
Close Punctuation 50
 
2.9%
Open Punctuation 50
 
2.9%
Uppercase Letter 37
 
2.1%
Decimal Number 36
 
2.1%
Lowercase Letter 28
 
1.6%
Other Punctuation 4
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
산 78
 
5.3%
금 61
 
4.2%
점 50
 
3.4%
카 34
 
2.3%
이 34
 
2.3%
페 33
 
2.2%
방 30
 
2.0%
삼 29
 
2.0%
드 28
 
1.9%
다 28
 
1.9%
Other values (302) 1063
72.4%
Lowercase Letter
ValueCountFrequency (%)
e 4
14.3%
t 4
14.3%
n 3
10.7%
u 2
 
7.1%
c 2
 
7.1%
o 2
 
7.1%
a 2
 
7.1%
f 1
 
3.6%
p 1
 
3.6%
l 1
 
3.6%
Other values (6) 6
21.4%
Uppercase Letter
ValueCountFrequency (%)
C 7
18.9%
S 6
16.2%
G 6
16.2%
I 3
8.1%
U 3
8.1%
P 3
8.1%
A 2
 
5.4%
H 1
 
2.7%
X 1
 
2.7%
V 1
 
2.7%
Other values (4) 4
10.8%
Decimal Number
ValueCountFrequency (%)
2 11
30.6%
5 9
25.0%
3 5
13.9%
8 4
 
11.1%
0 2
 
5.6%
4 2
 
5.6%
7 1
 
2.8%
6 1
 
2.8%
9 1
 
2.8%
Other Punctuation
ValueCountFrequency (%)
. 2
50.0%
, 1
25.0%
& 1
25.0%
Space Separator
ValueCountFrequency (%)
64
100.0%
Close Punctuation
ValueCountFrequency (%)
) 50
100.0%
Open Punctuation
ValueCountFrequency (%)
( 50
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1468
84.5%
Common 204
 
11.7%
Latin 65
 
3.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
산 78
 
5.3%
금 61
 
4.2%
점 50
 
3.4%
카 34
 
2.3%
이 34
 
2.3%
페 33
 
2.2%
방 30
 
2.0%
삼 29
 
2.0%
드 28
 
1.9%
다 28
 
1.9%
Other values (302) 1063
72.4%
Latin
ValueCountFrequency (%)
C 7
 
10.8%
S 6
 
9.2%
G 6
 
9.2%
e 4
 
6.2%
t 4
 
6.2%
I 3
 
4.6%
U 3
 
4.6%
n 3
 
4.6%
P 3
 
4.6%
u 2
 
3.1%
Other values (20) 24
36.9%
Common
ValueCountFrequency (%)
64
31.4%
) 50
24.5%
( 50
24.5%
2 11
 
5.4%
5 9
 
4.4%
3 5
 
2.5%
8 4
 
2.0%
0 2
 
1.0%
. 2
 
1.0%
4 2
 
1.0%
Other values (5) 5
 
2.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1468
84.5%
ASCII 269
 
15.5%

Most frequent character per block

Hangul
ValueCountFrequency (%)
산 78
 
5.3%
금 61
 
4.2%
점 50
 
3.4%
카 34
 
2.3%
이 34
 
2.3%
페 33
 
2.2%
방 30
 
2.0%
삼 29
 
2.0%
드 28
 
1.9%
다 28
 
1.9%
Other values (302) 1063
72.4%
ASCII
ValueCountFrequency (%)
64
23.8%
) 50
18.6%
( 50
18.6%
2 11
 
4.1%
5 9
 
3.3%
C 7
 
2.6%
S 6
 
2.2%
G 6
 
2.2%
3 5
 
1.9%
e 4
 
1.5%
Other values (35) 57
21.2%

소재지(도로명)
Text

Distinct194
Distinct (%)88.6%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
2024-01-10T04:53:16.155272image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length49
Median length40
Mean length23.593607
Min length18

Characters and Unicode

Total characters5167
Distinct characters172
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 (%)85.4%

Sample

1st row충청남도 금산군 금산읍 건삼전1길 20-8
2nd row충청남도 금산군 금산읍 상리 76-3
3rd row충청남도 금산군 진산면 읍내리 600-5
4th row충청남도 금산군 금산읍 건삼전길 22-10
5th row충청남도 금산군 금산읍 오리정1길 51
ValueCountFrequency (%)
충청남도 219
17.9%
금산군 219
17.9%
금산읍 121
 
9.9%
1층 49
 
4.0%
추부면 34
 
2.8%
군북면 25
 
2.0%
비단로 25
 
2.0%
금산로 15
 
1.2%
인삼로 14
 
1.1%
34-30 13
 
1.1%
Other values (285) 491
40.1%
2024-01-10T04:53:16.516181image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1009
19.5%
산 395
 
7.6%
금 378
 
7.3%
군 248
 
4.8%
남 226
 
4.4%
청 223
 
4.3%
충 219
 
4.2%
도 219
 
4.2%
1 211
 
4.1%
로 145
 
2.8%
Other values (162) 1894
36.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3200
61.9%
Space Separator 1009
 
19.5%
Decimal Number 789
 
15.3%
Other Punctuation 84
 
1.6%
Dash Punctuation 52
 
1.0%
Close Punctuation 12
 
0.2%
Open Punctuation 12
 
0.2%
Uppercase Letter 5
 
0.1%
Math Symbol 4
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
산 395
12.3%
금 378
11.8%
군 248
 
7.8%
남 226
 
7.1%
청 223
 
7.0%
충 219
 
6.8%
도 219
 
6.8%
로 145
 
4.5%
읍 123
 
3.8%
면 98
 
3.1%
Other values (141) 926
28.9%
Decimal Number
ValueCountFrequency (%)
1 211
26.7%
3 119
15.1%
0 101
12.8%
2 74
 
9.4%
4 73
 
9.3%
6 57
 
7.2%
5 47
 
6.0%
7 42
 
5.3%
8 34
 
4.3%
9 31
 
3.9%
Uppercase Letter
ValueCountFrequency (%)
K 1
20.0%
O 1
20.0%
A 1
20.0%
S 1
20.0%
G 1
20.0%
Space Separator
ValueCountFrequency (%)
1009
100.0%
Other Punctuation
ValueCountFrequency (%)
, 84
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 52
100.0%
Close Punctuation
ValueCountFrequency (%)
) 12
100.0%
Open Punctuation
ValueCountFrequency (%)
( 12
100.0%
Math Symbol
ValueCountFrequency (%)
~ 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3200
61.9%
Common 1962
38.0%
Latin 5
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
산 395
12.3%
금 378
11.8%
군 248
 
7.8%
남 226
 
7.1%
청 223
 
7.0%
충 219
 
6.8%
도 219
 
6.8%
로 145
 
4.5%
읍 123
 
3.8%
면 98
 
3.1%
Other values (141) 926
28.9%
Common
ValueCountFrequency (%)
1009
51.4%
1 211
 
10.8%
3 119
 
6.1%
0 101
 
5.1%
, 84
 
4.3%
2 74
 
3.8%
4 73
 
3.7%
6 57
 
2.9%
- 52
 
2.7%
5 47
 
2.4%
Other values (6) 135
 
6.9%
Latin
ValueCountFrequency (%)
K 1
20.0%
O 1
20.0%
A 1
20.0%
S 1
20.0%
G 1
20.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3200
61.9%
ASCII 1967
38.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1009
51.3%
1 211
 
10.7%
3 119
 
6.0%
0 101
 
5.1%
, 84
 
4.3%
2 74
 
3.8%
4 73
 
3.7%
6 57
 
2.9%
- 52
 
2.6%
5 47
 
2.4%
Other values (11) 140
 
7.1%
Hangul
ValueCountFrequency (%)
산 395
12.3%
금 378
11.8%
군 248
 
7.8%
남 226
 
7.1%
청 223
 
7.0%
충 219
 
6.8%
도 219
 
6.8%
로 145
 
4.5%
읍 123
 
3.8%
면 98
 
3.1%
Other values (141) 926
28.9%

소재지전화
Text

MISSING 

Distinct85
Distinct (%)81.0%
Missing114
Missing (%)52.1%
Memory size1.8 KiB
2024-01-10T04:53:16.712728image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length11.961905
Min length9

Characters and Unicode

Total characters1256
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

Unique83 ?
Unique (%)79.0%

Sample

1st row041-754-3370
2nd row041-754-3441
3rd row041-752-4049
4th row041-754-4063
5th row041-753-6276
ValueCountFrequency (%)
041-754-9200 13
 
12.4%
041-751-2892 9
 
8.6%
041-752-2280 1
 
1.0%
041-753-4292 1
 
1.0%
041-753-7011 1
 
1.0%
041-751-8500 1
 
1.0%
041-754-0020 1
 
1.0%
041-7525-108 1
 
1.0%
041-752-5571 1
 
1.0%
041-751-1246 1
 
1.0%
Other values (75) 75
71.4%
2024-01-10T04:53:17.016688image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 208
16.6%
0 178
14.2%
1 176
14.0%
4 156
12.4%
7 148
11.8%
5 138
11.0%
2 87
6.9%
3 52
 
4.1%
8 40
 
3.2%
9 39
 
3.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1048
83.4%
Dash Punctuation 208
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 178
17.0%
1 176
16.8%
4 156
14.9%
7 148
14.1%
5 138
13.2%
2 87
8.3%
3 52
 
5.0%
8 40
 
3.8%
9 39
 
3.7%
6 34
 
3.2%
Dash Punctuation
ValueCountFrequency (%)
- 208
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1256
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 208
16.6%
0 178
14.2%
1 176
14.0%
4 156
12.4%
7 148
11.8%
5 138
11.0%
2 87
6.9%
3 52
 
4.1%
8 40
 
3.2%
9 39
 
3.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1256
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 208
16.6%
0 178
14.2%
1 176
14.0%
4 156
12.4%
7 148
11.8%
5 138
11.0%
2 87
6.9%
3 52
 
4.1%
8 40
 
3.2%
9 39
 
3.1%

업태명
Categorical

Distinct12
Distinct (%)5.5%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
커피숍
77 
기타 휴게음식점
47 
다방
23 
편의점
23 
고속도로
22 
Other values (7)
27 

Length

Max length8
Median length6
Mean length4.2922374
Min length2

Unique

Unique3 ?
Unique (%)1.4%

Sample

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

Common Values

ValueCountFrequency (%)
커피숍 77
35.2%
기타 휴게음식점 47
21.5%
다방 23
 
10.5%
편의점 23
 
10.5%
고속도로 22
 
10.0%
패스트푸드 10
 
4.6%
일반조리판매 8
 
3.7%
푸드트럭 3
 
1.4%
떡카페 3
 
1.4%
전통찻집 1
 
0.5%
Other values (2) 2
 
0.9%

Length

2024-01-10T04:53:17.144356image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
커피숍 77
28.9%
기타 47
17.7%
휴게음식점 47
17.7%
다방 23
 
8.6%
편의점 23
 
8.6%
고속도로 22
 
8.3%
패스트푸드 10
 
3.8%
일반조리판매 8
 
3.0%
푸드트럭 3
 
1.1%
떡카페 3
 
1.1%
Other values (3) 3
 
1.1%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
2023-08-14
219 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023-08-14
2nd row2023-08-14
3rd row2023-08-14
4th row2023-08-14
5th row2023-08-14

Common Values

ValueCountFrequency (%)
2023-08-14 219
100.0%

Length

2024-01-10T04:53:17.233492image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T04:53:17.310876image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023-08-14 219
100.0%

Correlations

2024-01-10T04:53:17.356982image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
소재지전화업태명
소재지전화1.0000.999
업태명0.9991.000

Missing values

2024-01-10T04:53:15.172451image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-01-10T04:53:15.250240image/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 20-8041-754-3370다방2023-08-14
1휴게음식점여로다방충청남도 금산군 금산읍 상리 76-3041-754-3441다방2023-08-14
2휴게음식점대운다방충청남도 금산군 진산면 읍내리 600-5041-752-4049다방2023-08-14
3휴게음식점금은다방충청남도 금산군 금산읍 건삼전길 22-10041-754-4063다방2023-08-14
4휴게음식점대한다방충청남도 금산군 금산읍 오리정1길 51041-753-6276다방2023-08-14
5휴게음식점국제다방충청남도 금산군 금산읍 인삼약초로 45041-751-2236다방2023-08-14
6휴게음식점하늘다방충청남도 금산군 금산읍 건삼전1길 30041-751-4078다방2023-08-14
7휴게음식점대둔산절경에 숲속에 찻집충청남도 금산군 진산면 대둔산로 6041-753-4242커피숍2023-08-14
8휴게음식점영생다방충청남도 금산군 금산읍 뒷담말5길 16041-751-2548다방2023-08-14
9휴게음식점선다방충청남도 금산군 추부면 삼육로 10041-753-8709다방2023-08-14
업종명업소명소재지(도로명)소재지전화업태명데이터기준일자
209휴게음식점여래향충청남도 금산군 추부면 하마전로 55, 1층<NA>일반조리판매2023-08-14
210휴게음식점명스토어(명store)충청남도 금산군 진산면 월명동길 90<NA>커피숍2023-08-14
211휴게음식점피어나충청남도 금산군 금산읍 비단로 338-14, 1~2층<NA>커피숍2023-08-14
212휴게음식점프릭스버거 충남금산점충청남도 금산군 금산읍 금산로 1491, 1층 102호<NA>패스트푸드2023-08-14
213휴게음식점마낭충청남도 금산군 진산면 진산로 672-3, 1층<NA>커피숍2023-08-14
214휴게음식점감성커피금산점충청남도 금산군 금산읍 비단로 380-1, 1층<NA>커피숍2023-08-14
215휴게음식점차차의하루충청남도 금산군 제원면 제원3길 5-3, 1층<NA>커피숍2023-08-14
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217휴게음식점한솥도시락충남금산점충청남도 금산군 금산읍 금산로 1491, 1층 105호<NA>일반조리판매2023-08-14
218휴게음식점마운틴펫충청남도 금산군 금성면 마수로 407-5, 1~2층<NA>커피숍2023-08-14