Overview

Dataset statistics

Number of variables5
Number of observations33
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.4 KiB
Average record size in memory44.0 B

Variable types

Categorical2
Text3

Dataset

Description대전광역시 대표특색음식점 상호, 주요음식, 소재지, 전화번호 현황 입니다.
Author대전광역시
URLhttps://www.data.go.kr/data/15072768/fileData.do

Alerts

대표음식 is highly overall correlated with 주요음식High correlation
주요음식 is highly overall correlated with 대표음식High correlation
상호명 has unique valuesUnique
소재지 has unique valuesUnique
전화번호 has unique valuesUnique

Reproduction

Analysis started2023-12-12 21:04:02.948223
Analysis finished2023-12-12 21:04:03.363191
Duration0.41 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

대표음식
Categorical

HIGH CORRELATION 

Distinct6
Distinct (%)18.2%
Missing0
Missing (%)0.0%
Memory size396.0 B
삼계탕
13 
설렁탕
6 
구즉도토리묵
6 
돌솥밥
5 
대청호민물매운탕
2 

Length

Max length8
Median length3
Mean length3.8787879
Min length3

Unique

Unique1 ?
Unique (%)3.0%

Sample

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

Common Values

ValueCountFrequency (%)
삼계탕 13
39.4%
설렁탕 6
18.2%
구즉도토리묵 6
18.2%
돌솥밥 5
 
15.2%
대청호민물매운탕 2
 
6.1%
숯골냉면 1
 
3.0%

Length

2023-12-13T06:04:03.445016image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T06:04:03.566088image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
삼계탕 13
39.4%
설렁탕 6
18.2%
구즉도토리묵 6
18.2%
돌솥밥 5
 
15.2%
대청호민물매운탕 2
 
6.1%
숯골냉면 1
 
3.0%

상호명
Text

UNIQUE 

Distinct33
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size396.0 B
2023-12-13T06:04:03.770728image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length9
Mean length5.7878788
Min length2

Characters and Unicode

Total characters191
Distinct characters81
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

Unique33 ?
Unique (%)100.0%

Sample

1st row한밭삼계탕
2nd row신풍전삼계탕
3rd row가마솥집
4th row별천지
5th row장수촌
ValueCountFrequency (%)
한밭삼계탕 1
 
3.0%
귀빈돌솥밥[만년점 1
 
3.0%
산골묵집 1
 
3.0%
구즉묵집 1
 
3.0%
솔밭묵집 1
 
3.0%
초가묵집 1
 
3.0%
산밑할머니보리밥집 1
 
3.0%
야호정 1
 
3.0%
갈밭식당 1
 
3.0%
숯골원조냉면식당 1
 
3.0%
Other values (23) 23
69.7%
2023-12-13T06:04:04.122691image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
탕 15
 
7.9%
삼 10
 
5.2%
계 10
 
5.2%
집 7
 
3.7%
밥 5
 
2.6%
솥 5
 
2.6%
렁 5
 
2.6%
설 5
 
2.6%
묵 5
 
2.6%
식 4
 
2.1%
Other values (71) 120
62.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 185
96.9%
Close Punctuation 3
 
1.6%
Open Punctuation 3
 
1.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
탕 15
 
8.1%
삼 10
 
5.4%
계 10
 
5.4%
집 7
 
3.8%
밥 5
 
2.7%
솥 5
 
2.7%
렁 5
 
2.7%
설 5
 
2.7%
묵 5
 
2.7%
식 4
 
2.2%
Other values (67) 114
61.6%
Close Punctuation
ValueCountFrequency (%)
) 2
66.7%
] 1
33.3%
Open Punctuation
ValueCountFrequency (%)
( 2
66.7%
[ 1
33.3%

Most occurring scripts

ValueCountFrequency (%)
Hangul 185
96.9%
Common 6
 
3.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
탕 15
 
8.1%
삼 10
 
5.4%
계 10
 
5.4%
집 7
 
3.8%
밥 5
 
2.7%
솥 5
 
2.7%
렁 5
 
2.7%
설 5
 
2.7%
묵 5
 
2.7%
식 4
 
2.2%
Other values (67) 114
61.6%
Common
ValueCountFrequency (%)
) 2
33.3%
( 2
33.3%
[ 1
16.7%
] 1
16.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 185
96.9%
ASCII 6
 
3.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
탕 15
 
8.1%
삼 10
 
5.4%
계 10
 
5.4%
집 7
 
3.8%
밥 5
 
2.7%
솥 5
 
2.7%
렁 5
 
2.7%
설 5
 
2.7%
묵 5
 
2.7%
식 4
 
2.2%
Other values (67) 114
61.6%
ASCII
ValueCountFrequency (%)
) 2
33.3%
( 2
33.3%
[ 1
16.7%
] 1
16.7%

주요음식
Categorical

HIGH CORRELATION 

Distinct10
Distinct (%)30.3%
Missing0
Missing (%)0.0%
Memory size396.0 B
삼계탕
11 
설렁탕
6 
도토리묵
6 
돌솥밥
4 
누룽지삼계탕, 쟁반막국수
 
1
Other values (5)
5 

Length

Max length13
Median length3
Mean length3.6666667
Min length2

Unique

Unique6 ?
Unique (%)18.2%

Sample

1st row삼계탕
2nd row삼계탕
3rd row삼계탕
4th row삼계탕
5th row누룽지삼계탕, 쟁반막국수

Common Values

ValueCountFrequency (%)
삼계탕 11
33.3%
설렁탕 6
18.2%
도토리묵 6
18.2%
돌솥밥 4
 
12.1%
누룽지삼계탕, 쟁반막국수 1
 
3.0%
한방삼계탕 1
 
3.0%
등심구이 1
 
3.0%
냉면 1
 
3.0%
매운탕 1
 
3.0%
민물고기매운탕 1
 
3.0%

Length

2023-12-13T06:04:04.341245image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T06:04:04.766084image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
삼계탕 11
32.4%
설렁탕 6
17.6%
도토리묵 6
17.6%
돌솥밥 4
 
11.8%
누룽지삼계탕 1
 
2.9%
쟁반막국수 1
 
2.9%
한방삼계탕 1
 
2.9%
등심구이 1
 
2.9%
냉면 1
 
2.9%
매운탕 1
 
2.9%

소재지
Text

UNIQUE 

Distinct33
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size396.0 B
2023-12-13T06:04:05.033464image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length26
Median length23
Mean length19.363636
Min length15

Characters and Unicode

Total characters639
Distinct characters74
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

Unique33 ?
Unique (%)100.0%

Sample

1st row대전광역시 대덕구 대전로1019번길 36
2nd row대전광역시 중구 계백로 1620
3rd row대전광역시 중구 계백로 1709-20
4th row대전광역시 동구 산서로1659번길 29 별천지
5th row대전광역시 대덕구 송촌북로5번길 10-11
ValueCountFrequency (%)
대전광역시 33
24.3%
유성구 11
 
8.1%
대덕구 7
 
5.1%
중구 6
 
4.4%
서구 5
 
3.7%
동구 4
 
2.9%
관용로 2
 
1.5%
대덕대로 2
 
1.5%
계족로 2
 
1.5%
대청호수로 2
 
1.5%
Other values (60) 62
45.6%
2023-12-13T06:04:05.514851image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
103
16.1%
대 50
 
7.8%
구 35
 
5.5%
전 35
 
5.5%
광 33
 
5.2%
역 33
 
5.2%
시 33
 
5.2%
로 33
 
5.2%
1 33
 
5.2%
4 17
 
2.7%
Other values (64) 234
36.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 406
63.5%
Decimal Number 125
 
19.6%
Space Separator 103
 
16.1%
Dash Punctuation 5
 
0.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
대 50
12.3%
구 35
 
8.6%
전 35
 
8.6%
광 33
 
8.1%
역 33
 
8.1%
시 33
 
8.1%
로 33
 
8.1%
성 13
 
3.2%
번 13
 
3.2%
길 13
 
3.2%
Other values (52) 115
28.3%
Decimal Number
ValueCountFrequency (%)
1 33
26.4%
4 17
13.6%
3 13
 
10.4%
2 13
 
10.4%
6 11
 
8.8%
9 11
 
8.8%
5 9
 
7.2%
0 8
 
6.4%
8 5
 
4.0%
7 5
 
4.0%
Space Separator
ValueCountFrequency (%)
103
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 406
63.5%
Common 233
36.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
대 50
12.3%
구 35
 
8.6%
전 35
 
8.6%
광 33
 
8.1%
역 33
 
8.1%
시 33
 
8.1%
로 33
 
8.1%
성 13
 
3.2%
번 13
 
3.2%
길 13
 
3.2%
Other values (52) 115
28.3%
Common
ValueCountFrequency (%)
103
44.2%
1 33
 
14.2%
4 17
 
7.3%
3 13
 
5.6%
2 13
 
5.6%
6 11
 
4.7%
9 11
 
4.7%
5 9
 
3.9%
0 8
 
3.4%
8 5
 
2.1%
Other values (2) 10
 
4.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 406
63.5%
ASCII 233
36.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
103
44.2%
1 33
 
14.2%
4 17
 
7.3%
3 13
 
5.6%
2 13
 
5.6%
6 11
 
4.7%
9 11
 
4.7%
5 9
 
3.9%
0 8
 
3.4%
8 5
 
2.1%
Other values (2) 10
 
4.3%
Hangul
ValueCountFrequency (%)
대 50
12.3%
구 35
 
8.6%
전 35
 
8.6%
광 33
 
8.1%
역 33
 
8.1%
시 33
 
8.1%
로 33
 
8.1%
성 13
 
3.2%
번 13
 
3.2%
길 13
 
3.2%
Other values (52) 115
28.3%

전화번호
Text

UNIQUE 

Distinct33
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size396.0 B
2023-12-13T06:04:05.726815image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length13
Mean length12.69697
Min length12

Characters and Unicode

Total characters419
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

Unique33 ?
Unique (%)100.0%

Sample

1st row042-636-9952
2nd row042-581-1755
3rd row042-534-4866
4th row042-271-0207
5th row042- 934-7510
ValueCountFrequency (%)
042 18
34.6%
042-636-9952 1
 
1.9%
042-861-6730 1
 
1.9%
042-826-1228 1
 
1.9%
042-364-3455 1
 
1.9%
042-532-0447 1
 
1.9%
489-2322 1
 
1.9%
254-6350 1
 
1.9%
042-673-4895 1
 
1.9%
932-3872 1
 
1.9%
Other values (25) 25
48.1%
2023-12-13T06:04:06.103662image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 66
15.8%
2 63
15.0%
4 53
12.6%
0 51
12.2%
3 38
9.1%
5 28
6.7%
8 23
 
5.5%
6 22
 
5.3%
9 22
 
5.3%
7 19
 
4.5%
Other values (2) 34
8.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 334
79.7%
Dash Punctuation 66
 
15.8%
Space Separator 19
 
4.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 63
18.9%
4 53
15.9%
0 51
15.3%
3 38
11.4%
5 28
8.4%
8 23
 
6.9%
6 22
 
6.6%
9 22
 
6.6%
7 19
 
5.7%
1 15
 
4.5%
Dash Punctuation
ValueCountFrequency (%)
- 66
100.0%
Space Separator
ValueCountFrequency (%)
19
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 419
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 66
15.8%
2 63
15.0%
4 53
12.6%
0 51
12.2%
3 38
9.1%
5 28
6.7%
8 23
 
5.5%
6 22
 
5.3%
9 22
 
5.3%
7 19
 
4.5%
Other values (2) 34
8.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 419
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 66
15.8%
2 63
15.0%
4 53
12.6%
0 51
12.2%
3 38
9.1%
5 28
6.7%
8 23
 
5.5%
6 22
 
5.3%
9 22
 
5.3%
7 19
 
4.5%
Other values (2) 34
8.1%

Correlations

2023-12-13T06:04:06.222895image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
대표음식상호명주요음식소재지전화번호
대표음식1.0001.0001.0001.0001.000
상호명1.0001.0001.0001.0001.000
주요음식1.0001.0001.0001.0001.000
소재지1.0001.0001.0001.0001.000
전화번호1.0001.0001.0001.0001.000
2023-12-13T06:04:06.320417image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
대표음식주요음식
대표음식1.0000.923
주요음식0.9231.000
2023-12-13T06:04:06.428508image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
대표음식주요음식
대표음식1.0000.923
주요음식0.9231.000

Missing values

2023-12-13T06:04:03.217705image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T06:04:03.317662image/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

대표음식상호명주요음식소재지전화번호
0삼계탕한밭삼계탕삼계탕대전광역시 대덕구 대전로1019번길 36042-636-9952
1삼계탕신풍전삼계탕삼계탕대전광역시 중구 계백로 1620042-581-1755
2삼계탕가마솥집삼계탕대전광역시 중구 계백로 1709-20042-534-4866
3삼계탕별천지삼계탕대전광역시 동구 산서로1659번길 29 별천지042-271-0207
4삼계탕장수촌누룽지삼계탕, 쟁반막국수대전광역시 대덕구 송촌북로5번길 10-11042- 934-7510
5삼계탕구구전복삼계탕삼계탕대전광역시 대덕구 비래서로81번길 2042- 623-9952
6삼계탕한방삼계탕한방삼계탕대전광역시 유성구 전민로14번길 43042- 861-6127
7삼계탕고려한방삼계탕삼계탕대전광역시 유성구 문화원로14번길 42042-823-2330
8삼계탕수복삼계탕삼계탕대전광역시 서구 둔산중로 66042 -489 -8233
9삼계탕풍전삼계탕식당삼계탕대전광역시 동구 계족로 414 2층042- 631-3838
대표음식상호명주요음식소재지전화번호
23설렁탕혜성옥설렁탕대전광역시 대덕구 한밭대로 1147042-673-4895
24숯골냉면숯골원조냉면식당냉면대전광역시 유성구 신성로 121042-861-6730
25대청호민물매운탕갈밭식당매운탕대전광역시 대덕구 대청호수로 1553 갈밭식당042- 932-3872
26대청호민물매운탕야호정민물고기매운탕대전광역시 대덕구 대청호수로 1869042-932-0661
27구즉도토리묵산밑할머니보리밥집도토리묵대전광역시 유성구 관용로 33042- 935-2947
28구즉도토리묵초가묵집도토리묵대전광역시 유성구 탑립로 6042- 934-5739
29구즉도토리묵솔밭묵집도토리묵대전광역시 유성구 관용로 51042- 935-5686
30구즉도토리묵구즉묵집도토리묵대전광역시 유성구 대덕대로 1091-25042- 935-2016
31구즉도토리묵산골묵집도토리묵대전광역시 유성구 관용로63번길 47042- 935-9900
32구즉도토리묵할머니묵집도토리묵대전광역시 유성구 금남구즉로 1378042- 935-5842