Overview

Dataset statistics

Number of variables16
Number of observations42
Missing cells8
Missing cells (%)1.2%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory5.5 KiB
Average record size in memory134.1 B

Variable types

Categorical6
Text6
Numeric3
DateTime1

Dataset

Description강원도 동해시 모범음식점 현황(업소명, 업종, 업태명, 메뉴, 대표자명, 연락처, 주소 등)을 안내하여 드립니다.
Author강원도 동해시
URLhttps://www.data.go.kr/data/15040145/fileData.do

Alerts

시도명 has constant value ""Constant
시군구명 has constant value ""Constant
업종 has constant value ""Constant
데이터기준일자 has constant value ""Constant
위도 is highly overall correlated with 경도High correlation
경도 is highly overall correlated with 위도High correlation
최대수용인원 has 8 (19.0%) missing valuesMissing
업소명 has unique valuesUnique
메뉴 has unique valuesUnique
연락처 has unique valuesUnique
도로명주소 has unique valuesUnique
지번주소 has unique valuesUnique

Reproduction

Analysis started2023-12-12 04:29:38.909023
Analysis finished2023-12-12 04:29:40.736447
Duration1.83 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시도명
Categorical

CONSTANT 

Distinct1
Distinct (%)2.4%
Missing0
Missing (%)0.0%
Memory size468.0 B
강원도
42 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
강원도 42
100.0%

Length

2023-12-12T13:29:40.802714image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T13:29:40.908049image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
강원도 42
100.0%

시군구명
Categorical

CONSTANT 

Distinct1
Distinct (%)2.4%
Missing0
Missing (%)0.0%
Memory size468.0 B
동해시
42 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
동해시 42
100.0%

Length

2023-12-12T13:29:41.031950image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T13:29:41.160853image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
동해시 42
100.0%

업소명
Text

UNIQUE 

Distinct42
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size468.0 B
2023-12-12T13:29:41.394548image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length9
Mean length4.6428571
Min length2

Characters and Unicode

Total characters195
Distinct characters104
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

Unique42 ?
Unique (%)100.0%

Sample

1st row고려정한우촌
2nd row고향한우촌
3rd row광천막국수
4th row국대오리
5th row근정가든
ValueCountFrequency (%)
고려정한우촌 1
 
2.3%
천곡실비촌 1
 
2.3%
향미원 1
 
2.3%
연이네왕소금구이 1
 
2.3%
영동횟집 1
 
2.3%
영빈관 1
 
2.3%
예향막국수 1
 
2.3%
옛촌 1
 
2.3%
오동동회집 1
 
2.3%
오송해물찜 1
 
2.3%
Other values (33) 33
76.7%
2023-12-12T13:29:42.161526image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
해 10
 
5.1%
집 7
 
3.6%
동 6
 
3.1%
천 5
 
2.6%
회 5
 
2.6%
국 5
 
2.6%
수 5
 
2.6%
이 4
 
2.1%
대 4
 
2.1%
오 4
 
2.1%
Other values (94) 140
71.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 193
99.0%
Other Punctuation 1
 
0.5%
Space Separator 1
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
해 10
 
5.2%
집 7
 
3.6%
동 6
 
3.1%
천 5
 
2.6%
회 5
 
2.6%
국 5
 
2.6%
수 5
 
2.6%
이 4
 
2.1%
대 4
 
2.1%
오 4
 
2.1%
Other values (92) 138
71.5%
Other Punctuation
ValueCountFrequency (%)
& 1
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 193
99.0%
Common 2
 
1.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
해 10
 
5.2%
집 7
 
3.6%
동 6
 
3.1%
천 5
 
2.6%
회 5
 
2.6%
국 5
 
2.6%
수 5
 
2.6%
이 4
 
2.1%
대 4
 
2.1%
오 4
 
2.1%
Other values (92) 138
71.5%
Common
ValueCountFrequency (%)
& 1
50.0%
1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 193
99.0%
ASCII 2
 
1.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
해 10
 
5.2%
집 7
 
3.6%
동 6
 
3.1%
천 5
 
2.6%
회 5
 
2.6%
국 5
 
2.6%
수 5
 
2.6%
이 4
 
2.1%
대 4
 
2.1%
오 4
 
2.1%
Other values (92) 138
71.5%
ASCII
ValueCountFrequency (%)
& 1
50.0%
1
50.0%

업종
Categorical

CONSTANT 

Distinct1
Distinct (%)2.4%
Missing0
Missing (%)0.0%
Memory size468.0 B
일반음식점
42 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
일반음식점 42
100.0%

Length

2023-12-12T13:29:42.300063image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T13:29:42.409990image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
일반음식점 42
100.0%

업태명
Categorical

Distinct7
Distinct (%)16.7%
Missing0
Missing (%)0.0%
Memory size468.0 B
한식
13 
식육(숯불구이)
11 
회집
9 
냉면집
3 
중국식
2 
Other values (2)
4 

Length

Max length8
Median length2
Mean length3.7380952
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row식육(숯불구이)
2nd row식육(숯불구이)
3rd row냉면집
4th row한식
5th row한식

Common Values

ValueCountFrequency (%)
한식 13
31.0%
식육(숯불구이) 11
26.2%
회집 9
21.4%
냉면집 3
 
7.1%
중국식 2
 
4.8%
경양식 2
 
4.8%
일식 2
 
4.8%

Length

2023-12-12T13:29:42.547105image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T13:29:42.711322image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
한식 13
31.0%
식육(숯불구이 11
26.2%
회집 9
21.4%
냉면집 3
 
7.1%
중국식 2
 
4.8%
경양식 2
 
4.8%
일식 2
 
4.8%

메뉴
Text

UNIQUE 

Distinct42
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size468.0 B
2023-12-12T13:29:42.983331image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length13
Mean length11.238095
Min length3

Characters and Unicode

Total characters472
Distinct characters116
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique42 ?
Unique (%)100.0%

Sample

1st row삼겹살,갈비살,돼지갈비
2nd row한우갈비살,한우등심
3rd row막국수,꿩만두국,수육
4th row오리능이백숙,오리차돌구이
5th row영양돌솥밥,간장게장,한우,삼겹살
ValueCountFrequency (%)
삼겹살,갈비살,돼지갈비 1
 
2.4%
갈비살,살치살,등심 1
 
2.4%
코스요리,탕수육,짜장면,삼선짬뽕 1
 
2.4%
삼겹살,목살,차돌박이 1
 
2.4%
활어회,물회,회덮밥 1
 
2.4%
회정식,모듬회,고래고기 1
 
2.4%
막국수,만둣국,수육 1
 
2.4%
굴해장국,굴매생이국,삼겹살,돼지갈비 1
 
2.4%
활어회,오징어물회,매운탕 1
 
2.4%
해물탕,해물찜 1
 
2.4%
Other values (32) 32
76.2%
2023-12-12T13:29:43.601675image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
, 75
 
15.9%
회 23
 
4.9%
살 17
 
3.6%
탕 15
 
3.2%
물 15
 
3.2%
비 14
 
3.0%
갈 13
 
2.8%
밥 11
 
2.3%
국 10
 
2.1%
매 9
 
1.9%
Other values (106) 270
57.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 396
83.9%
Other Punctuation 76
 
16.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
회 23
 
5.8%
살 17
 
4.3%
탕 15
 
3.8%
물 15
 
3.8%
비 14
 
3.5%
갈 13
 
3.3%
밥 11
 
2.8%
국 10
 
2.5%
매 9
 
2.3%
해 9
 
2.3%
Other values (104) 260
65.7%
Other Punctuation
ValueCountFrequency (%)
, 75
98.7%
· 1
 
1.3%

Most occurring scripts

ValueCountFrequency (%)
Hangul 396
83.9%
Common 76
 
16.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
회 23
 
5.8%
살 17
 
4.3%
탕 15
 
3.8%
물 15
 
3.8%
비 14
 
3.5%
갈 13
 
3.3%
밥 11
 
2.8%
국 10
 
2.5%
매 9
 
2.3%
해 9
 
2.3%
Other values (104) 260
65.7%
Common
ValueCountFrequency (%)
, 75
98.7%
· 1
 
1.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 396
83.9%
ASCII 75
 
15.9%
None 1
 
0.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
, 75
100.0%
Hangul
ValueCountFrequency (%)
회 23
 
5.8%
살 17
 
4.3%
탕 15
 
3.8%
물 15
 
3.8%
비 14
 
3.5%
갈 13
 
3.3%
밥 11
 
2.8%
국 10
 
2.5%
매 9
 
2.3%
해 9
 
2.3%
Other values (104) 260
65.7%
None
ValueCountFrequency (%)
· 1
100.0%

대표자명
Text

Distinct41
Distinct (%)97.6%
Missing0
Missing (%)0.0%
Memory size468.0 B
2023-12-12T13:29:43.849046image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters126
Distinct characters64
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique40 ?
Unique (%)95.2%

Sample

1st row강임순
2nd row홍숙희
3rd row현준진
4th row한현정
5th row이정옥
ValueCountFrequency (%)
이영희 2
 
4.8%
강임순 1
 
2.4%
박현숙 1
 
2.4%
김희영 1
 
2.4%
이창옥 1
 
2.4%
이점자 1
 
2.4%
함복순 1
 
2.4%
이수진 1
 
2.4%
변상규 1
 
2.4%
송해경 1
 
2.4%
Other values (31) 31
73.8%
2023-12-12T13:29:44.319021image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
김 10
 
7.9%
이 9
 
7.1%
박 6
 
4.8%
희 6
 
4.8%
영 6
 
4.8%
정 5
 
4.0%
현 4
 
3.2%
자 4
 
3.2%
순 4
 
3.2%
옥 4
 
3.2%
Other values (54) 68
54.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 126
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
김 10
 
7.9%
이 9
 
7.1%
박 6
 
4.8%
희 6
 
4.8%
영 6
 
4.8%
정 5
 
4.0%
현 4
 
3.2%
자 4
 
3.2%
순 4
 
3.2%
옥 4
 
3.2%
Other values (54) 68
54.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 126
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
김 10
 
7.9%
이 9
 
7.1%
박 6
 
4.8%
희 6
 
4.8%
영 6
 
4.8%
정 5
 
4.0%
현 4
 
3.2%
자 4
 
3.2%
순 4
 
3.2%
옥 4
 
3.2%
Other values (54) 68
54.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 126
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
김 10
 
7.9%
이 9
 
7.1%
박 6
 
4.8%
희 6
 
4.8%
영 6
 
4.8%
정 5
 
4.0%
현 4
 
3.2%
자 4
 
3.2%
순 4
 
3.2%
옥 4
 
3.2%
Other values (54) 68
54.0%

연락처
Text

UNIQUE 

Distinct42
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size468.0 B
2023-12-12T13:29:44.617819image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters504
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

Unique42 ?
Unique (%)100.0%

Sample

1st row033-531-4800
2nd row033-532-6426
3rd row033-534-0113
4th row033-533-7075
5th row033-533-8842
ValueCountFrequency (%)
033-531-4800 1
 
2.4%
033-532-3171 1
 
2.4%
033-535-8206 1
 
2.4%
033-522-2525 1
 
2.4%
033-521-7205 1
 
2.4%
033-533-8585 1
 
2.4%
033-521-1951 1
 
2.4%
033-533-0838 1
 
2.4%
033-534-3122 1
 
2.4%
033-531-8400 1
 
2.4%
Other values (32) 32
76.2%
2023-12-12T13:29:45.141913image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3 146
29.0%
- 84
16.7%
5 73
14.5%
0 66
13.1%
2 30
 
6.0%
1 27
 
5.4%
8 23
 
4.6%
4 20
 
4.0%
6 14
 
2.8%
7 13
 
2.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 420
83.3%
Dash Punctuation 84
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 146
34.8%
5 73
17.4%
0 66
15.7%
2 30
 
7.1%
1 27
 
6.4%
8 23
 
5.5%
4 20
 
4.8%
6 14
 
3.3%
7 13
 
3.1%
9 8
 
1.9%
Dash Punctuation
ValueCountFrequency (%)
- 84
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 504
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
3 146
29.0%
- 84
16.7%
5 73
14.5%
0 66
13.1%
2 30
 
6.0%
1 27
 
5.4%
8 23
 
4.6%
4 20
 
4.0%
6 14
 
2.8%
7 13
 
2.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 504
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3 146
29.0%
- 84
16.7%
5 73
14.5%
0 66
13.1%
2 30
 
6.0%
1 27
 
5.4%
8 23
 
4.6%
4 20
 
4.0%
6 14
 
2.8%
7 13
 
2.6%

도로명주소
Text

UNIQUE 

Distinct42
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size468.0 B
2023-12-12T13:29:45.503513image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length50
Median length35
Mean length26.809524
Min length19

Characters and Unicode

Total characters1126
Distinct characters83
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

Unique42 ?
Unique (%)100.0%

Sample

1st row강원도 동해시 항골1길 5-1, 1층 (천곡동)
2nd row강원도 동해시 감추5길 30 (천곡동)
3rd row강원도 동해시 가마골길 20-11 (부곡동)
4th row강원도 동해시 동해대로 6080, 1층 (망상동)
5th row강원도 동해시 부곡1길 2 (부곡동)
ValueCountFrequency (%)
강원도 42
 
17.1%
동해시 42
 
17.1%
천곡동 21
 
8.5%
1층 9
 
3.7%
동해대로 5
 
2.0%
망상동 5
 
2.0%
1,2층 4
 
1.6%
한섬로 4
 
1.6%
감추6길 4
 
1.6%
평릉동 3
 
1.2%
Other values (85) 107
43.5%
2023-12-12T13:29:46.021508image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
204
18.1%
동 95
 
8.4%
1 57
 
5.1%
해 51
 
4.5%
) 44
 
3.9%
( 44
 
3.9%
원 43
 
3.8%
강 42
 
3.7%
도 42
 
3.7%
시 42
 
3.7%
Other values (73) 462
41.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 589
52.3%
Space Separator 204
 
18.1%
Decimal Number 184
 
16.3%
Close Punctuation 44
 
3.9%
Open Punctuation 44
 
3.9%
Other Punctuation 38
 
3.4%
Dash Punctuation 21
 
1.9%
Uppercase Letter 2
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 95
16.1%
해 51
 
8.7%
원 43
 
7.3%
강 42
 
7.1%
도 42
 
7.1%
시 42
 
7.1%
곡 28
 
4.8%
천 23
 
3.9%
길 23
 
3.9%
로 19
 
3.2%
Other values (57) 181
30.7%
Decimal Number
ValueCountFrequency (%)
1 57
31.0%
2 32
17.4%
3 18
 
9.8%
0 17
 
9.2%
6 16
 
8.7%
7 12
 
6.5%
8 10
 
5.4%
5 10
 
5.4%
4 7
 
3.8%
9 5
 
2.7%
Space Separator
ValueCountFrequency (%)
204
100.0%
Close Punctuation
ValueCountFrequency (%)
) 44
100.0%
Open Punctuation
ValueCountFrequency (%)
( 44
100.0%
Other Punctuation
ValueCountFrequency (%)
, 38
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 21
100.0%
Uppercase Letter
ValueCountFrequency (%)
A 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 589
52.3%
Common 535
47.5%
Latin 2
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 95
16.1%
해 51
 
8.7%
원 43
 
7.3%
강 42
 
7.1%
도 42
 
7.1%
시 42
 
7.1%
곡 28
 
4.8%
천 23
 
3.9%
길 23
 
3.9%
로 19
 
3.2%
Other values (57) 181
30.7%
Common
ValueCountFrequency (%)
204
38.1%
1 57
 
10.7%
) 44
 
8.2%
( 44
 
8.2%
, 38
 
7.1%
2 32
 
6.0%
- 21
 
3.9%
3 18
 
3.4%
0 17
 
3.2%
6 16
 
3.0%
Other values (5) 44
 
8.2%
Latin
ValueCountFrequency (%)
A 2
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 589
52.3%
ASCII 537
47.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
204
38.0%
1 57
 
10.6%
) 44
 
8.2%
( 44
 
8.2%
, 38
 
7.1%
2 32
 
6.0%
- 21
 
3.9%
3 18
 
3.4%
0 17
 
3.2%
6 16
 
3.0%
Other values (6) 46
 
8.6%
Hangul
ValueCountFrequency (%)
동 95
16.1%
해 51
 
8.7%
원 43
 
7.3%
강 42
 
7.1%
도 42
 
7.1%
시 42
 
7.1%
곡 28
 
4.8%
천 23
 
3.9%
길 23
 
3.9%
로 19
 
3.2%
Other values (57) 181
30.7%

지번주소
Text

UNIQUE 

Distinct42
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size468.0 B
2023-12-12T13:29:46.350873image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length43
Median length34
Mean length23.190476
Min length16

Characters and Unicode

Total characters974
Distinct characters59
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

Unique42 ?
Unique (%)100.0%

Sample

1st row강원도 동해시 천곡동 1084-10번지
2nd row강원도 동해시 천곡동 970번지
3rd row강원도 동해시 부곡동 74-2번지
4th row강원도 동해시 망상동 95-5번지
5th row강원도 동해시 부곡동 86-15번지
ValueCountFrequency (%)
강원도 42
21.1%
동해시 42
21.1%
천곡동 21
 
10.6%
망상동 5
 
2.5%
1층 5
 
2.5%
부곡동 3
 
1.5%
평릉동 3
 
1.5%
1,2층 3
 
1.5%
2
 
1.0%
추암동 2
 
1.0%
Other values (63) 71
35.7%
2023-12-12T13:29:46.888999image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
198
20.3%
동 87
 
8.9%
해 46
 
4.7%
1 44
 
4.5%
지 43
 
4.4%
강 42
 
4.3%
번 42
 
4.3%
도 42
 
4.3%
시 42
 
4.3%
원 42
 
4.3%
Other values (49) 346
35.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 523
53.7%
Decimal Number 203
 
20.8%
Space Separator 198
 
20.3%
Dash Punctuation 33
 
3.4%
Other Punctuation 11
 
1.1%
Open Punctuation 2
 
0.2%
Close Punctuation 2
 
0.2%
Uppercase Letter 2
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 87
16.6%
해 46
8.8%
지 43
8.2%
강 42
8.0%
번 42
8.0%
도 42
8.0%
시 42
8.0%
원 42
8.0%
곡 25
 
4.8%
천 21
 
4.0%
Other values (33) 91
17.4%
Decimal Number
ValueCountFrequency (%)
1 44
21.7%
8 23
11.3%
2 22
10.8%
9 21
10.3%
5 21
10.3%
0 20
9.9%
3 15
 
7.4%
7 14
 
6.9%
6 12
 
5.9%
4 11
 
5.4%
Space Separator
ValueCountFrequency (%)
198
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 33
100.0%
Other Punctuation
ValueCountFrequency (%)
, 11
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Uppercase Letter
ValueCountFrequency (%)
A 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 523
53.7%
Common 449
46.1%
Latin 2
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 87
16.6%
해 46
8.8%
지 43
8.2%
강 42
8.0%
번 42
8.0%
도 42
8.0%
시 42
8.0%
원 42
8.0%
곡 25
 
4.8%
천 21
 
4.0%
Other values (33) 91
17.4%
Common
ValueCountFrequency (%)
198
44.1%
1 44
 
9.8%
- 33
 
7.3%
8 23
 
5.1%
2 22
 
4.9%
9 21
 
4.7%
5 21
 
4.7%
0 20
 
4.5%
3 15
 
3.3%
7 14
 
3.1%
Other values (5) 38
 
8.5%
Latin
ValueCountFrequency (%)
A 2
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 523
53.7%
ASCII 451
46.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
198
43.9%
1 44
 
9.8%
- 33
 
7.3%
8 23
 
5.1%
2 22
 
4.9%
9 21
 
4.7%
5 21
 
4.7%
0 20
 
4.4%
3 15
 
3.3%
7 14
 
3.1%
Other values (6) 40
 
8.9%
Hangul
ValueCountFrequency (%)
동 87
16.6%
해 46
8.8%
지 43
8.2%
강 42
8.0%
번 42
8.0%
도 42
8.0%
시 42
8.0%
원 42
8.0%
곡 25
 
4.8%
천 21
 
4.0%
Other values (33) 91
17.4%

위도
Real number (ℝ)

HIGH CORRELATION 

Distinct40
Distinct (%)95.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean37.527277
Minimum37.463154
Maximum37.593724
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size510.0 B
2023-12-12T13:29:47.091216image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum37.463154
5-th percentile37.478495
Q137.517965
median37.521878
Q337.535189
95-th percentile37.592608
Maximum37.593724
Range0.13057015
Interquartile range (IQR)0.017223422

Descriptive statistics

Standard deviation0.030606897
Coefficient of variation (CV)0.00081559067
Kurtosis0.68201113
Mean37.527277
Median Absolute Deviation (MAD)0.0071598
Skewness0.59387547
Sum1576.1456
Variance0.00093678214
MonotonicityNot monotonic
2023-12-12T13:29:47.329508image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=40)
ValueCountFrequency (%)
37.59260825 2
 
4.8%
37.59372369 2
 
4.8%
37.52502323 1
 
2.4%
37.52152593 1
 
2.4%
37.48882236 1
 
2.4%
37.47759841 1
 
2.4%
37.5230898 1
 
2.4%
37.49007948 1
 
2.4%
37.5153859 1
 
2.4%
37.51924747 1
 
2.4%
Other values (30) 30
71.4%
ValueCountFrequency (%)
37.46315354 1
2.4%
37.47759841 1
2.4%
37.47795154 1
2.4%
37.48882236 1
2.4%
37.48882794 1
2.4%
37.49007948 1
2.4%
37.49722926 1
2.4%
37.5153859 1
2.4%
37.51685771 1
2.4%
37.51751576 1
2.4%
ValueCountFrequency (%)
37.59372369 2
4.8%
37.59260825 2
4.8%
37.57972898 1
2.4%
37.56285608 1
2.4%
37.55457876 1
2.4%
37.55211362 1
2.4%
37.53881398 1
2.4%
37.53646847 1
2.4%
37.53636786 1
2.4%
37.53165117 1
2.4%

경도
Real number (ℝ)

HIGH CORRELATION 

Distinct40
Distinct (%)95.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean129.11123
Minimum129.02052
Maximum129.15897
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size510.0 B
2023-12-12T13:29:47.506972image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum129.02052
5-th percentile129.08916
Q1129.10513
median129.11429
Q3129.12016
95-th percentile129.1256
Maximum129.15897
Range0.1384476
Interquartile range (IQR)0.015022975

Descriptive statistics

Standard deviation0.020215321
Coefficient of variation (CV)0.00015657291
Kurtosis10.140928
Mean129.11123
Median Absolute Deviation (MAD)0.00617195
Skewness-1.7455909
Sum5422.6718
Variance0.00040865921
MonotonicityNot monotonic
2023-12-12T13:29:47.699954image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=40)
ValueCountFrequency (%)
129.0908178 2
 
4.8%
129.0890676 2
 
4.8%
129.1061001 1
 
2.4%
129.115801 1
 
2.4%
129.105769 1
 
2.4%
129.1589679 1
 
2.4%
129.1181198 1
 
2.4%
129.1091121 1
 
2.4%
129.1200182 1
 
2.4%
129.1213769 1
 
2.4%
Other values (30) 30
71.4%
ValueCountFrequency (%)
129.0205203 1
2.4%
129.0890676 2
4.8%
129.0908178 2
4.8%
129.096901 1
2.4%
129.0979886 1
2.4%
129.1012502 1
2.4%
129.1021945 1
2.4%
129.1030644 1
2.4%
129.1049229 1
2.4%
129.105769 1
2.4%
ValueCountFrequency (%)
129.1589679 1
2.4%
129.1587925 1
2.4%
129.125763 1
2.4%
129.1225048 1
2.4%
129.1222516 1
2.4%
129.1216422 1
2.4%
129.1213769 1
2.4%
129.1206623 1
2.4%
129.1202657 1
2.4%
129.1202501 1
2.4%

최대수용인원
Real number (ℝ)

MISSING 

Distinct16
Distinct (%)47.1%
Missing8
Missing (%)19.0%
Infinite0
Infinite (%)0.0%
Mean112.35294
Minimum30
Maximum400
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size510.0 B
2023-12-12T13:29:47.871861image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum30
5-th percentile36.5
Q170
median95
Q3111.5
95-th percentile270
Maximum400
Range370
Interquartile range (IQR)41.5

Descriptive statistics

Standard deviation82.868966
Coefficient of variation (CV)0.73757719
Kurtosis7.4857786
Mean112.35294
Median Absolute Deviation (MAD)25
Skewness2.6315216
Sum3820
Variance6867.2656
MonotonicityNot monotonic
2023-12-12T13:29:48.015049image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
100 5
11.9%
80 5
11.9%
70 4
9.5%
110 3
 
7.1%
200 2
 
4.8%
90 2
 
4.8%
30 2
 
4.8%
400 2
 
4.8%
150 2
 
4.8%
58 1
 
2.4%
Other values (6) 6
14.3%
(Missing) 8
19.0%
ValueCountFrequency (%)
30 2
 
4.8%
40 1
 
2.4%
50 1
 
2.4%
58 1
 
2.4%
60 1
 
2.4%
70 4
9.5%
80 5
11.9%
90 2
 
4.8%
100 5
11.9%
110 3
7.1%
ValueCountFrequency (%)
400 2
 
4.8%
200 2
 
4.8%
150 2
 
4.8%
130 1
 
2.4%
120 1
 
2.4%
112 1
 
2.4%
110 3
7.1%
100 5
11.9%
90 2
 
4.8%
80 5
11.9%

이용시간
Categorical

Distinct17
Distinct (%)40.5%
Missing0
Missing (%)0.0%
Memory size468.0 B
10:00~22:00
12 
<NA>
8 
08:00~22:00
3 
11:00~22:00
3 
11:00~22:00
2 
Other values (12)
14 

Length

Max length12
Median length11
Mean length9.5952381
Min length4

Unique

Unique10 ?
Unique (%)23.8%

Sample

1st row<NA>
2nd row10:00~22:00
3rd row10:00~22:00
4th row11:00~21:00
5th row08:00~22:00

Common Values

ValueCountFrequency (%)
10:00~22:00 12
28.6%
<NA> 8
19.0%
08:00~22:00 3
 
7.1%
11:00~22:00 3
 
7.1%
11:00~22:00 2
 
4.8%
09:00~21:00 2
 
4.8%
11:00~21:00 2
 
4.8%
10:00~22:30 1
 
2.4%
09:00~16:00 1
 
2.4%
11:30~21:30 1
 
2.4%
Other values (7) 7
16.7%

Length

2023-12-12T13:29:48.204576image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
10:00~22:00 12
28.6%
na 8
19.0%
11:00~22:00 5
11.9%
08:00~22:00 3
 
7.1%
09:00~21:00 2
 
4.8%
11:00~21:00 2
 
4.8%
10:00~22:30 1
 
2.4%
09:00~16:00 1
 
2.4%
11:30~21:30 1
 
2.4%
07:00~17:00 1
 
2.4%
Other values (6) 6
14.3%

휴무일
Categorical

Distinct17
Distinct (%)40.5%
Missing0
Missing (%)0.0%
Memory size468.0 B
연중무휴
14 
<NA>
8 
명절당일
4 
명절
2 
1,3주 일요일
2 
Other values (12)
12 

Length

Max length20
Median length4
Mean length5.8571429
Min length2

Unique

Unique12 ?
Unique (%)28.6%

Sample

1st row<NA>
2nd row설날, 추석
3rd row명절당일
4th row2,4째주 수요일(여름제외)
5th row명절당일

Common Values

ValueCountFrequency (%)
연중무휴 14
33.3%
<NA> 8
19.0%
명절당일 4
 
9.5%
명절 2
 
4.8%
1,3주 일요일 2
 
4.8%
매월 1,3주 수요일 1
 
2.4%
2,4째주 수요일(여름제외) 1
 
2.4%
1,3째주 월요일 1
 
2.4%
첫째주 일요일, 설날, 추석 전후3일 1
 
2.4%
설날, 추석 1
 
2.4%
Other values (7) 7
16.7%

Length

2023-12-12T13:29:48.405571image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
연중무휴 14
22.2%
na 8
12.7%
1,3주 6
9.5%
일요일 5
 
7.9%
월요일 5
 
7.9%
명절당일 4
 
6.3%
추석 3
 
4.8%
설날 3
 
4.8%
명절 2
 
3.2%
매월 2
 
3.2%
Other values (10) 11
17.5%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)2.4%
Missing0
Missing (%)0.0%
Memory size468.0 B
Minimum2021-09-28 00:00:00
Maximum2021-09-28 00:00:00
2023-12-12T13:29:48.527435image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:29:48.649120image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2023-12-12T13:29:40.136209image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:29:39.558438image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:29:39.833091image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:29:40.223130image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:29:39.648482image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:29:39.932658image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:29:40.311875image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:29:39.745912image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:29:40.038058image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T13:29:48.763193image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
업소명업태명메뉴대표자명연락처도로명주소지번주소위도경도최대수용인원이용시간휴무일
업소명1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
업태명1.0001.0001.0000.8391.0001.0001.0000.0000.2830.3650.7040.702
메뉴1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
대표자명1.0000.8391.0001.0001.0001.0001.0001.0000.9730.9510.9410.942
연락처1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
도로명주소1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
지번주소1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
위도1.0000.0001.0001.0001.0001.0001.0001.0000.6930.3630.7870.760
경도1.0000.2831.0000.9731.0001.0001.0000.6931.0000.0000.3350.000
최대수용인원1.0000.3651.0000.9511.0001.0001.0000.3630.0001.0000.7250.000
이용시간1.0000.7041.0000.9411.0001.0001.0000.7870.3350.7251.0000.202
휴무일1.0000.7021.0000.9421.0001.0001.0000.7600.0000.0000.2021.000
2023-12-12T13:29:48.927642image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
휴무일이용시간업태명
휴무일1.0000.0000.319
이용시간0.0001.0000.321
업태명0.3190.3211.000
2023-12-12T13:29:49.025464image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
위도경도최대수용인원업태명이용시간휴무일
위도1.000-0.520-0.0220.0000.3850.356
경도-0.5201.0000.0570.0710.3350.000
최대수용인원-0.0220.0571.0000.2090.3480.000
업태명0.0000.0710.2091.0000.3210.319
이용시간0.3850.3350.3480.3211.0000.000
휴무일0.3560.0000.0000.3190.0001.000

Missing values

2023-12-12T13:29:40.455326image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T13:29:40.661566image/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

시도명시군구명업소명업종업태명메뉴대표자명연락처도로명주소지번주소위도경도최대수용인원이용시간휴무일데이터기준일자
0강원도동해시고려정한우촌일반음식점식육(숯불구이)삼겹살,갈비살,돼지갈비강임순033-531-4800강원도 동해시 항골1길 5-1, 1층 (천곡동)강원도 동해시 천곡동 1084-10번지37.525023129.1061<NA><NA><NA>2021-09-28
1강원도동해시고향한우촌일반음식점식육(숯불구이)한우갈비살,한우등심홍숙희033-532-6426강원도 동해시 감추5길 30 (천곡동)강원도 동해시 천곡동 970번지37.517961129.1202046010:00~22:00설날, 추석2021-09-28
2강원도동해시광천막국수일반음식점냉면집막국수,꿩만두국,수육현준진033-534-0113강원도 동해시 가마골길 20-11 (부곡동)강원도 동해시 부곡동 74-2번지37.536368129.1021948010:00~22:00명절당일2021-09-28
3강원도동해시국대오리일반음식점한식오리능이백숙,오리차돌구이한현정033-533-7075강원도 동해시 동해대로 6080, 1층 (망상동)강원도 동해시 망상동 95-5번지37.579729129.0979893011:00~21:002,4째주 수요일(여름제외)2021-09-28
4강원도동해시근정가든일반음식점한식영양돌솥밥,간장게장,한우,삼겹살이정옥033-533-8842강원도 동해시 부곡1길 2 (부곡동)강원도 동해시 부곡동 86-15번지37.536468129.10492320008:00~22:00명절당일2021-09-28
5강원도동해시놀부부대찌개&철판구이일반음식점한식놀부부대찌개박은정033-535-7713강원도 동해시 한섬로 111-7, 110호 (천곡동)강원도 동해시 천곡동 863번지37.522243129.1152685810:30~21:50연중무휴2021-09-28
6강원도동해시대박오리일반음식점한식오리능이백숙,쭈꾸미,삼겹살정옥순033-533-5700강원도 동해시 승지로 46, 1,2층 (부곡동)강원도 동해시 부곡동 155-5번지 1,2층37.538814129.09690111010:00~22:00연중무휴2021-09-28
7강원도동해시더줌일반음식점식육(숯불구이)소갈비살,숯불돼지갈비,숯불닭갈비변길자033-535-0033강원도 동해시 한섬로 126-4, 1층 104, 105호 (천곡동)강원도 동해시 천곡동 940번지 1층 104, 105호37.520704129.118899<NA><NA><NA>2021-09-28
8강원도동해시돌고래회집일반음식점회집활어회,해물탕,매운탕김금돌033-534-6558강원도 동해시 동해대로 6270-31, A1동 1호 (망상동, 망상해변상가)강원도 동해시 망상동 393-78번지 망상해변상가 A1 1호37.593724129.08906810010:00~연중무휴2021-09-28
9강원도동해시동해닭갈비 천곡점일반음식점한식닭갈비정의선033-534-3210강원도 동해시 샘실3길 84-2, 1층 (천곡동)강원도 동해시 천곡동 1078-17번지37.521312129.11078510011:00~22:00연중무휴2021-09-28
시도명시군구명업소명업종업태명메뉴대표자명연락처도로명주소지번주소위도경도최대수용인원이용시간휴무일데이터기준일자
32강원도동해시천수막국수일반음식점냉면집막국수,만두국,만두전골이영희033-535-8234강원도 동해시 감추6길 16, 1층 (천곡동, 만경빌딩)강원도 동해시 천곡동 972-3번지37.517516129.12250511010:00~22:00연중무휴2021-09-28
33강원도동해시추암횟집대게일반음식점회집활어회,회덮밥,물회,매운탕박태권033-521-5222강원도 동해시 촛대바위길 16-2, 1,2층 (추암동)강원도 동해시 추암동 1-8번지 1,2층37.477952129.15879313010:00~22:00연중무휴2021-09-28
34강원도동해시칠형제곰치국일반음식점한식곰치국,매운탕,회덮밥박지희033-533-1544강원도 동해시 일출로 131 (묵호진동)강원도 동해시 묵호진동 2-146번지37.554579129.1202664007:00~17:00셋째주 월요일2021-09-28
35강원도동해시피아노일반음식점경양식파스타,피자,리조또변진희033-534-3666강원도 동해시 동해대로 6270-18, 201,202호 (망상동, 망상해변내, (구)상가)강원도 동해시 망상동 393-36번지 망상해변내, (구)상가 201,20237.592608129.0908183011:30~21:30매주 화요일2021-09-28
36강원도동해시한우설렁탕일반음식점한식설렁탕,우족탕이영희033-532-1589강원도 동해시 중앙로 179 (천곡동)강원도 동해시 천곡동 1000-2번지37.516858129.1168397009:00~16:00매주 일요일2021-09-28
37강원도동해시해림일반음식점회집활어회,매운탕윤이임033-534-3898강원도 동해시 동해대로 6270-31, A1동 5호 (망상동, 망상해변상가)강원도 동해시 망상동 393-78번지 망상해변상가 A1동 5호37.593724129.0890688007:00~23:00연중무휴2021-09-28
38강원도동해시해성회센타일반음식점회집활어회,횟밥,물회,곰치국방기영033-531-5589강원도 동해시 중앙로 240, 1층 (천곡동)강원도 동해시 천곡동 852번지 1층37.52223129.114713<NA><NA><NA>2021-09-28
39강원도동해시해청숯불갈비일반음식점식육(숯불구이)삼겹살,곤드레솥밥전주자033-535-0668강원도 동해시 천곡3길 6 (천곡동)강원도 동해시 천곡동 805-9번지37.525646129.1127287010:00~22:00명절2021-09-28
40강원도동해시향미원일반음식점중국식코스요리,탕수육,짜장면,삼선짬뽕황타옥033-535-8206강원도 동해시 감추6길 22-1, 2,3층 (천곡동, 일광빌딩)강원도 동해시 천곡동 971-7번지 일광빌딩 2층,3층37.517978129.12225210011:00~22:00매월 1,3주 월요일2021-09-28
41강원도동해시화로구이일반음식점식육(숯불구이)돼지갈비,생삼겹살이길용033-531-3663강원도 동해시 하평1길 5-1, 1층 (평릉동)강원도 동해시 평릉동 419-5번지 외1필지, 1층37.531651129.10841611210:00~22:00명절2021-09-28