Overview

Dataset statistics

Number of variables6
Number of observations208
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory9.9 KiB
Average record size in memory48.6 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

Reproduction

Analysis started2024-01-09 19:53:18.042240
Analysis finished2024-01-09 19:53:18.510516
Duration0.47 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
208 

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 208
100.0%

Length

2024-01-10T04:53:18.554866image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T04:53:18.627899image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
휴게음식점 208
100.0%

업소명
Text

Distinct207
Distinct (%)99.5%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
2024-01-10T04:53:18.816594image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length22
Mean length8.0144231
Min length1

Characters and Unicode

Total characters1667
Distinct characters344
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

Unique206 ?
Unique (%)99.0%

Sample

1st row수다방
2nd row여로다방
3rd row대운다방
4th row금은다방
5th row대한다방
ValueCountFrequency (%)
금산인삼랜드(하)휴게소 10
 
3.7%
인삼랜드(상)휴게소 10
 
3.7%
주)케이알산업 10
 
3.7%
씨유 4
 
1.5%
주)케이알산업인삼랜드(상)휴게소 3
 
1.1%
카페 3
 
1.1%
세븐일레븐 2
 
0.7%
충남금산점 2
 
0.7%
호두과자 2
 
0.7%
꽃다방 2
 
0.7%
Other values (224) 224
82.4%
2024-01-10T04:53:19.137941image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
산 73
 
4.4%
64
 
3.8%
금 57
 
3.4%
( 48
 
2.9%
) 48
 
2.9%
점 45
 
2.7%
카 33
 
2.0%
이 32
 
1.9%
페 32
 
1.9%
방 30
 
1.8%
Other values (334) 1205
72.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1405
84.3%
Space Separator 64
 
3.8%
Open Punctuation 48
 
2.9%
Close Punctuation 48
 
2.9%
Uppercase Letter 37
 
2.2%
Decimal Number 34
 
2.0%
Lowercase Letter 27
 
1.6%
Other Punctuation 4
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
산 73
 
5.2%
금 57
 
4.1%
점 45
 
3.2%
카 33
 
2.3%
이 32
 
2.3%
페 32
 
2.3%
방 30
 
2.1%
삼 29
 
2.1%
다 28
 
2.0%
인 28
 
2.0%
Other values (291) 1018
72.5%
Uppercase Letter
ValueCountFrequency (%)
C 7
18.9%
G 6
16.2%
S 6
16.2%
P 4
10.8%
I 3
8.1%
A 2
 
5.4%
U 2
 
5.4%
V 1
 
2.7%
B 1
 
2.7%
H 1
 
2.7%
Other values (4) 4
10.8%
Lowercase Letter
ValueCountFrequency (%)
e 4
14.8%
n 3
11.1%
t 3
11.1%
c 3
11.1%
a 3
11.1%
u 2
7.4%
f 2
7.4%
l 1
 
3.7%
p 1
 
3.7%
b 1
 
3.7%
Other values (4) 4
14.8%
Decimal Number
ValueCountFrequency (%)
2 10
29.4%
5 9
26.5%
3 5
14.7%
8 4
 
11.8%
0 2
 
5.9%
9 1
 
2.9%
6 1
 
2.9%
4 1
 
2.9%
7 1
 
2.9%
Other Punctuation
ValueCountFrequency (%)
. 2
50.0%
, 1
25.0%
& 1
25.0%
Space Separator
ValueCountFrequency (%)
64
100.0%
Open Punctuation
ValueCountFrequency (%)
( 48
100.0%
Close Punctuation
ValueCountFrequency (%)
) 48
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1405
84.3%
Common 198
 
11.9%
Latin 64
 
3.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
산 73
 
5.2%
금 57
 
4.1%
점 45
 
3.2%
카 33
 
2.3%
이 32
 
2.3%
페 32
 
2.3%
방 30
 
2.1%
삼 29
 
2.1%
다 28
 
2.0%
인 28
 
2.0%
Other values (291) 1018
72.5%
Latin
ValueCountFrequency (%)
C 7
 
10.9%
G 6
 
9.4%
S 6
 
9.4%
e 4
 
6.2%
P 4
 
6.2%
n 3
 
4.7%
I 3
 
4.7%
t 3
 
4.7%
c 3
 
4.7%
a 3
 
4.7%
Other values (18) 22
34.4%
Common
ValueCountFrequency (%)
64
32.3%
( 48
24.2%
) 48
24.2%
2 10
 
5.1%
5 9
 
4.5%
3 5
 
2.5%
8 4
 
2.0%
0 2
 
1.0%
. 2
 
1.0%
9 1
 
0.5%
Other values (5) 5
 
2.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1405
84.3%
ASCII 262
 
15.7%

Most frequent character per block

Hangul
ValueCountFrequency (%)
산 73
 
5.2%
금 57
 
4.1%
점 45
 
3.2%
카 33
 
2.3%
이 32
 
2.3%
페 32
 
2.3%
방 30
 
2.1%
삼 29
 
2.1%
다 28
 
2.0%
인 28
 
2.0%
Other values (291) 1018
72.5%
ASCII
ValueCountFrequency (%)
64
24.4%
( 48
18.3%
) 48
18.3%
2 10
 
3.8%
5 9
 
3.4%
C 7
 
2.7%
G 6
 
2.3%
S 6
 
2.3%
3 5
 
1.9%
e 4
 
1.5%
Other values (33) 55
21.0%

소재지(도로명)
Text

Distinct183
Distinct (%)88.0%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
2024-01-10T04:53:19.408186image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length49
Median length41
Mean length23.336538
Min length18

Characters and Unicode

Total characters4854
Distinct characters166
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

Unique176 ?
Unique (%)84.6%

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 208
18.0%
금산군 208
18.0%
금산읍 119
 
10.3%
1층 38
 
3.3%
추부면 32
 
2.8%
군북면 25
 
2.2%
비단로 25
 
2.2%
인삼로 14
 
1.2%
금산로 13
 
1.1%
대암길 13
 
1.1%
Other values (267) 458
39.7%
2024-01-10T04:53:19.778986image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
948
19.5%
산 374
 
7.7%
금 362
 
7.5%
군 237
 
4.9%
남 214
 
4.4%
청 212
 
4.4%
충 208
 
4.3%
도 208
 
4.3%
1 184
 
3.8%
로 138
 
2.8%
Other values (156) 1769
36.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3035
62.5%
Space Separator 948
 
19.5%
Decimal Number 723
 
14.9%
Other Punctuation 71
 
1.5%
Dash Punctuation 46
 
0.9%
Open Punctuation 12
 
0.2%
Close Punctuation 12
 
0.2%
Uppercase Letter 5
 
0.1%
Math Symbol 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
산 374
12.3%
금 362
11.9%
군 237
 
7.8%
남 214
 
7.1%
청 212
 
7.0%
충 208
 
6.9%
도 208
 
6.9%
로 138
 
4.5%
읍 121
 
4.0%
면 89
 
2.9%
Other values (135) 872
28.7%
Decimal Number
ValueCountFrequency (%)
1 184
25.4%
3 114
15.8%
0 95
13.1%
2 67
 
9.3%
4 65
 
9.0%
6 55
 
7.6%
5 44
 
6.1%
7 42
 
5.8%
8 31
 
4.3%
9 26
 
3.6%
Uppercase Letter
ValueCountFrequency (%)
O 1
20.0%
K 1
20.0%
A 1
20.0%
G 1
20.0%
S 1
20.0%
Space Separator
ValueCountFrequency (%)
948
100.0%
Other Punctuation
ValueCountFrequency (%)
, 71
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 46
100.0%
Open Punctuation
ValueCountFrequency (%)
( 12
100.0%
Close Punctuation
ValueCountFrequency (%)
) 12
100.0%
Math Symbol
ValueCountFrequency (%)
~ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3035
62.5%
Common 1814
37.4%
Latin 5
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
산 374
12.3%
금 362
11.9%
군 237
 
7.8%
남 214
 
7.1%
청 212
 
7.0%
충 208
 
6.9%
도 208
 
6.9%
로 138
 
4.5%
읍 121
 
4.0%
면 89
 
2.9%
Other values (135) 872
28.7%
Common
ValueCountFrequency (%)
948
52.3%
1 184
 
10.1%
3 114
 
6.3%
0 95
 
5.2%
, 71
 
3.9%
2 67
 
3.7%
4 65
 
3.6%
6 55
 
3.0%
- 46
 
2.5%
5 44
 
2.4%
Other values (6) 125
 
6.9%
Latin
ValueCountFrequency (%)
O 1
20.0%
K 1
20.0%
A 1
20.0%
G 1
20.0%
S 1
20.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3035
62.5%
ASCII 1819
37.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
948
52.1%
1 184
 
10.1%
3 114
 
6.3%
0 95
 
5.2%
, 71
 
3.9%
2 67
 
3.7%
4 65
 
3.6%
6 55
 
3.0%
- 46
 
2.5%
5 44
 
2.4%
Other values (11) 130
 
7.1%
Hangul
ValueCountFrequency (%)
산 374
12.3%
금 362
11.9%
군 237
 
7.8%
남 214
 
7.1%
청 212
 
7.0%
충 208
 
6.9%
도 208
 
6.9%
로 138
 
4.5%
읍 121
 
4.0%
면 89
 
2.9%
Other values (135) 872
28.7%

소재지전화
Text

Distinct80
Distinct (%)38.5%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
2024-01-10T04:53:19.992182image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length6
Mean length8.8509615
Min length6

Characters and Unicode

Total characters1841
Distinct characters17
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

Unique77 ?
Unique (%)37.0%

Sample

1st row041-754-3370
2nd row041-754-3441
3rd row041-752-4049
4th row041-754-4063
5th row041-753-6276
ValueCountFrequency (%)
정보 109
34.4%
부존재 109
34.4%
041-754-9200 13
 
4.1%
041-751-2892 9
 
2.8%
041-7525-108 1
 
0.3%
041-752-5571 1
 
0.3%
041-753-4292 1
 
0.3%
041-751-3656 1
 
0.3%
041-753-7011 1
 
0.3%
041-751-8500 1
 
0.3%
Other values (71) 71
22.4%
2024-01-10T04:53:20.308862image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 197
10.7%
1 170
 
9.2%
0 168
 
9.1%
4 143
 
7.8%
7 136
 
7.4%
5 131
 
7.1%
보 109
 
5.9%
정 109
 
5.9%
재 109
 
5.9%
존 109
 
5.9%
Other values (7) 460
25.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 990
53.8%
Other Letter 545
29.6%
Dash Punctuation 197
 
10.7%
Space Separator 109
 
5.9%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 170
17.2%
0 168
17.0%
4 143
14.4%
7 136
13.7%
5 131
13.2%
2 84
8.5%
3 50
 
5.1%
9 37
 
3.7%
8 37
 
3.7%
6 34
 
3.4%
Other Letter
ValueCountFrequency (%)
보 109
20.0%
정 109
20.0%
재 109
20.0%
존 109
20.0%
부 109
20.0%
Dash Punctuation
ValueCountFrequency (%)
- 197
100.0%
Space Separator
ValueCountFrequency (%)
109
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1296
70.4%
Hangul 545
29.6%

Most frequent character per script

Common
ValueCountFrequency (%)
- 197
15.2%
1 170
13.1%
0 168
13.0%
4 143
11.0%
7 136
10.5%
5 131
10.1%
109
8.4%
2 84
6.5%
3 50
 
3.9%
9 37
 
2.9%
Other values (2) 71
 
5.5%
Hangul
ValueCountFrequency (%)
보 109
20.0%
정 109
20.0%
재 109
20.0%
존 109
20.0%
부 109
20.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1296
70.4%
Hangul 545
29.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 197
15.2%
1 170
13.1%
0 168
13.0%
4 143
11.0%
7 136
10.5%
5 131
10.1%
109
8.4%
2 84
6.5%
3 50
 
3.9%
9 37
 
2.9%
Other values (2) 71
 
5.5%
Hangul
ValueCountFrequency (%)
보 109
20.0%
정 109
20.0%
재 109
20.0%
존 109
20.0%
부 109
20.0%

업태명
Categorical

Distinct12
Distinct (%)5.8%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
커피숍
69 
기타 휴게음식점
49 
다방
23 
고속도로
22 
편의점
21 
Other values (7)
24 

Length

Max length8
Median length6
Mean length4.3653846
Min length2

Unique

Unique3 ?
Unique (%)1.4%

Sample

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

Common Values

ValueCountFrequency (%)
커피숍 69
33.2%
기타 휴게음식점 49
23.6%
다방 23
 
11.1%
고속도로 22
 
10.6%
편의점 21
 
10.1%
패스트푸드 10
 
4.8%
일반조리판매 5
 
2.4%
푸드트럭 3
 
1.4%
떡카페 3
 
1.4%
전통찻집 1
 
0.5%
Other values (2) 2
 
1.0%

Length

2024-01-10T04:53:20.623969image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
커피숍 69
26.8%
기타 49
19.1%
휴게음식점 49
19.1%
다방 23
 
8.9%
고속도로 22
 
8.6%
편의점 21
 
8.2%
패스트푸드 10
 
3.9%
일반조리판매 5
 
1.9%
푸드트럭 3
 
1.2%
떡카페 3
 
1.2%
Other values (3) 3
 
1.2%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
Minimum2023-03-31 00:00:00
Maximum2023-03-31 00:00:00
2024-01-10T04:53:20.702408image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T04:53:20.769684image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Correlations

2024-01-10T04:53:20.818304image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
소재지전화업태명
소재지전화1.0000.896
업태명0.8961.000

Missing values

2024-01-10T04:53:18.399575image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-01-10T04:53:18.479780image/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 20-8041-754-3370다방2023-03-31
1휴게음식점여로다방충청남도 금산군 금산읍 상리 76-3041-754-3441다방2023-03-31
2휴게음식점대운다방충청남도 금산군 진산면 읍내리 600-5041-752-4049다방2023-03-31
3휴게음식점금은다방충청남도 금산군 금산읍 건삼전길 22-10041-754-4063다방2023-03-31
4휴게음식점대한다방충청남도 금산군 금산읍 오리정1길 51041-753-6276다방2023-03-31
5휴게음식점국제다방충청남도 금산군 금산읍 인삼약초로 45041-751-2236다방2023-03-31
6휴게음식점하늘다방충청남도 금산군 금산읍 건삼전1길 30정보 부존재다방2023-03-31
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