Overview

Dataset statistics

Number of variables5
Number of observations87
Missing cells1
Missing cells (%)0.2%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory3.5 KiB
Average record size in memory41.5 B

Variable types

Text4
Categorical1

Dataset

Description대전광역시 유성구 관내에 있는 모범음식점 현황으로 업소명, 업태명, 주음식, 소재지도로명주소, 소재지전화번호 등의 데이터를 제공합니다.
URLhttps://www.data.go.kr/data/15118305/fileData.do

Alerts

주음식 has 1 (1.1%) missing valuesMissing
업소명 has unique valuesUnique
소재지도로명주소 has unique valuesUnique

Reproduction

Analysis started2023-12-12 05:59:26.813360
Analysis finished2023-12-12 05:59:27.825314
Duration1.01 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

업소명
Text

UNIQUE 

Distinct87
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size828.0 B
2023-12-12T14:59:28.013823image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length10
Mean length6
Min length2

Characters and Unicode

Total characters522
Distinct characters202
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique87 ?
Unique (%)100.0%

Sample

1st row띠울참숯불석갈비
2nd row장수촌
3rd row유성삼겹살
4th row옛날숯불갈비
5th row유성봉명한우
ValueCountFrequency (%)
관평점 2
 
2.0%
띠울참숯불석갈비 1
 
1.0%
춘수사 1
 
1.0%
수라간 1
 
1.0%
방동가든 1
 
1.0%
하누정 1
 
1.0%
삼주외식산업(주)이화원 1
 
1.0%
대전구암점 1
 
1.0%
교동면옥 1
 
1.0%
명지원숯불갈비 1
 
1.0%
Other values (89) 89
89.0%
2023-12-12T14:59:28.457726image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
13
 
2.5%
점 12
 
2.3%
수 10
 
1.9%
원 10
 
1.9%
동 10
 
1.9%
유 10
 
1.9%
식 10
 
1.9%
집 9
 
1.7%
한 9
 
1.7%
리 9
 
1.7%
Other values (192) 420
80.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 491
94.1%
Space Separator 13
 
2.5%
Open Punctuation 7
 
1.3%
Close Punctuation 7
 
1.3%
Decimal Number 4
 
0.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
점 12
 
2.4%
수 10
 
2.0%
원 10
 
2.0%
동 10
 
2.0%
유 10
 
2.0%
식 10
 
2.0%
집 9
 
1.8%
한 9
 
1.8%
리 9
 
1.8%
성 8
 
1.6%
Other values (186) 394
80.2%
Decimal Number
ValueCountFrequency (%)
7 2
50.0%
3 1
25.0%
4 1
25.0%
Space Separator
ValueCountFrequency (%)
13
100.0%
Open Punctuation
ValueCountFrequency (%)
( 7
100.0%
Close Punctuation
ValueCountFrequency (%)
) 7
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 491
94.1%
Common 31
 
5.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
점 12
 
2.4%
수 10
 
2.0%
원 10
 
2.0%
동 10
 
2.0%
유 10
 
2.0%
식 10
 
2.0%
집 9
 
1.8%
한 9
 
1.8%
리 9
 
1.8%
성 8
 
1.6%
Other values (186) 394
80.2%
Common
ValueCountFrequency (%)
13
41.9%
( 7
22.6%
) 7
22.6%
7 2
 
6.5%
3 1
 
3.2%
4 1
 
3.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 491
94.1%
ASCII 31
 
5.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
13
41.9%
( 7
22.6%
) 7
22.6%
7 2
 
6.5%
3 1
 
3.2%
4 1
 
3.2%
Hangul
ValueCountFrequency (%)
점 12
 
2.4%
수 10
 
2.0%
원 10
 
2.0%
동 10
 
2.0%
유 10
 
2.0%
식 10
 
2.0%
집 9
 
1.8%
한 9
 
1.8%
리 9
 
1.8%
성 8
 
1.6%
Other values (186) 394
80.2%

업태명
Categorical

Distinct9
Distinct (%)10.3%
Missing0
Missing (%)0.0%
Memory size828.0 B
한식
50 
식육(숯불구이)
12 
중국식
9 
일식
7 
경양식
 
4
Other values (4)
 
5

Length

Max length15
Median length2
Mean length3.1494253
Min length2

Unique

Unique3 ?
Unique (%)3.4%

Sample

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

Common Values

ValueCountFrequency (%)
한식 50
57.5%
식육(숯불구이) 12
 
13.8%
중국식 9
 
10.3%
일식 7
 
8.0%
경양식 4
 
4.6%
분식 2
 
2.3%
공공기관 1
 
1.1%
기타 1
 
1.1%
외국음식전문점(인도,태국등) 1
 
1.1%

Length

2023-12-12T14:59:28.680045image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T14:59:28.854557image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
한식 50
57.5%
식육(숯불구이 12
 
13.8%
중국식 9
 
10.3%
일식 7
 
8.0%
경양식 4
 
4.6%
분식 2
 
2.3%
공공기관 1
 
1.1%
기타 1
 
1.1%
외국음식전문점(인도,태국등 1
 
1.1%

주음식
Text

MISSING 

Distinct79
Distinct (%)91.9%
Missing1
Missing (%)1.1%
Memory size828.0 B
2023-12-12T14:59:29.158696image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length12
Mean length5.9069767
Min length2

Characters and Unicode

Total characters508
Distinct characters154
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique74 ?
Unique (%)86.0%

Sample

1st row석갈비
2nd row누룽지삼계탕+쟁반국
3rd row불고기류전문
4th row소갈비+돼지갈비
5th row한우모듬
ValueCountFrequency (%)
돼지갈비 5
 
4.9%
장어구이 3
 
2.9%
중화요리 3
 
2.9%
간장게장 2
 
2.0%
칼국수 2
 
2.0%
활어회 2
 
2.0%
한정식 2
 
2.0%
오리수육 2
 
2.0%
냉면 2
 
2.0%
석갈비 2
 
2.0%
Other values (77) 77
75.5%
2023-12-12T14:59:29.687871image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
+ 34
 
6.7%
리 18
 
3.5%
비 16
 
3.1%
탕 16
 
3.1%
16
 
3.1%
갈 16
 
3.1%
지 13
 
2.6%
장 12
 
2.4%
국 9
 
1.8%
수 9
 
1.8%
Other values (144) 349
68.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 454
89.4%
Math Symbol 34
 
6.7%
Space Separator 16
 
3.1%
Close Punctuation 2
 
0.4%
Open Punctuation 2
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
리 18
 
4.0%
비 16
 
3.5%
탕 16
 
3.5%
갈 16
 
3.5%
지 13
 
2.9%
장 12
 
2.6%
국 9
 
2.0%
수 9
 
2.0%
이 9
 
2.0%
돼 8
 
1.8%
Other values (140) 328
72.2%
Math Symbol
ValueCountFrequency (%)
+ 34
100.0%
Space Separator
ValueCountFrequency (%)
16
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 454
89.4%
Common 54
 
10.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
리 18
 
4.0%
비 16
 
3.5%
탕 16
 
3.5%
갈 16
 
3.5%
지 13
 
2.9%
장 12
 
2.6%
국 9
 
2.0%
수 9
 
2.0%
이 9
 
2.0%
돼 8
 
1.8%
Other values (140) 328
72.2%
Common
ValueCountFrequency (%)
+ 34
63.0%
16
29.6%
) 2
 
3.7%
( 2
 
3.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 454
89.4%
ASCII 54
 
10.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
+ 34
63.0%
16
29.6%
) 2
 
3.7%
( 2
 
3.7%
Hangul
ValueCountFrequency (%)
리 18
 
4.0%
비 16
 
3.5%
탕 16
 
3.5%
갈 16
 
3.5%
지 13
 
2.9%
장 12
 
2.6%
국 9
 
2.0%
수 9
 
2.0%
이 9
 
2.0%
돼 8
 
1.8%
Other values (140) 328
72.2%

소재지도로명주소
Text

UNIQUE 

Distinct87
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size828.0 B
2023-12-12T14:59:30.008555image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length54
Median length37
Mean length30.850575
Min length21

Characters and Unicode

Total characters2684
Distinct characters117
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique87 ?
Unique (%)100.0%

Sample

1st row대전광역시 유성구 계룡로141번길 1 (봉명동)
2nd row대전광역시 유성구 계룡로46번길 11 (봉명동)
3rd row대전광역시 유성구 계룡로59번길 9 (봉명동)
4th row대전광역시 유성구 계룡로74번길 13-7 지상1층 (봉명동)
5th row대전광역시 유성구 계룡로74번길 55 지상2층 (봉명동)
ValueCountFrequency (%)
대전광역시 87
 
16.7%
유성구 87
 
16.7%
지상1층 29
 
5.6%
봉명동 22
 
4.2%
지상2층 13
 
2.5%
노은동 8
 
1.5%
관평동 7
 
1.3%
1층 5
 
1.0%
테크노중앙로 5
 
1.0%
12 5
 
1.0%
Other values (192) 254
48.7%
2023-12-12T14:59:30.474269image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
435
 
16.2%
1 135
 
5.0%
대 113
 
4.2%
성 101
 
3.8%
동 95
 
3.5%
구 93
 
3.5%
전 92
 
3.4%
유 91
 
3.4%
역 88
 
3.3%
( 87
 
3.2%
Other values (107) 1354
50.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1596
59.5%
Decimal Number 450
 
16.8%
Space Separator 435
 
16.2%
Open Punctuation 87
 
3.2%
Close Punctuation 87
 
3.2%
Math Symbol 19
 
0.7%
Dash Punctuation 10
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
대 113
 
7.1%
성 101
 
6.3%
동 95
 
6.0%
구 93
 
5.8%
전 92
 
5.8%
유 91
 
5.7%
역 88
 
5.5%
광 87
 
5.5%
시 87
 
5.5%
로 86
 
5.4%
Other values (92) 663
41.5%
Decimal Number
ValueCountFrequency (%)
1 135
30.0%
2 83
18.4%
3 41
 
9.1%
0 40
 
8.9%
4 39
 
8.7%
5 30
 
6.7%
7 29
 
6.4%
8 18
 
4.0%
6 18
 
4.0%
9 17
 
3.8%
Space Separator
ValueCountFrequency (%)
435
100.0%
Open Punctuation
ValueCountFrequency (%)
( 87
100.0%
Close Punctuation
ValueCountFrequency (%)
) 87
100.0%
Math Symbol
ValueCountFrequency (%)
~ 19
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 10
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1596
59.5%
Common 1088
40.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
대 113
 
7.1%
성 101
 
6.3%
동 95
 
6.0%
구 93
 
5.8%
전 92
 
5.8%
유 91
 
5.7%
역 88
 
5.5%
광 87
 
5.5%
시 87
 
5.5%
로 86
 
5.4%
Other values (92) 663
41.5%
Common
ValueCountFrequency (%)
435
40.0%
1 135
 
12.4%
( 87
 
8.0%
) 87
 
8.0%
2 83
 
7.6%
3 41
 
3.8%
0 40
 
3.7%
4 39
 
3.6%
5 30
 
2.8%
7 29
 
2.7%
Other values (5) 82
 
7.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1596
59.5%
ASCII 1088
40.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
435
40.0%
1 135
 
12.4%
( 87
 
8.0%
) 87
 
8.0%
2 83
 
7.6%
3 41
 
3.8%
0 40
 
3.7%
4 39
 
3.6%
5 30
 
2.8%
7 29
 
2.7%
Other values (5) 82
 
7.5%
Hangul
ValueCountFrequency (%)
대 113
 
7.1%
성 101
 
6.3%
동 95
 
6.0%
구 93
 
5.8%
전 92
 
5.8%
유 91
 
5.7%
역 88
 
5.5%
광 87
 
5.5%
시 87
 
5.5%
로 86
 
5.4%
Other values (92) 663
41.5%

소재지전화번호
Text

Distinct86
Distinct (%)98.9%
Missing0
Missing (%)0.0%
Memory size828.0 B
2023-12-12T14:59:30.702927image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length12
Mean length12.034483
Min length12

Characters and Unicode

Total characters1047
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

Unique85 ?
Unique (%)97.7%

Sample

1st row042-822-7887
2nd row042-822-7338
3rd row042-823-5222
4th row042-822-7055
5th row042-822-7176
ValueCountFrequency (%)
042-825-5548 2
 
2.3%
042-825-9033 1
 
1.1%
042-823-3337 1
 
1.1%
042-823-0022 1
 
1.1%
042-822-9291 1
 
1.1%
042-545-0092 1
 
1.1%
042-822-5949 1
 
1.1%
042-822-3131 1
 
1.1%
042-823-5388 1
 
1.1%
042-477-8063 1
 
1.1%
Other values (76) 76
87.4%
2023-12-12T14:59:31.141161image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 206
19.7%
- 174
16.6%
0 139
13.3%
4 125
11.9%
8 105
10.0%
3 67
 
6.4%
5 58
 
5.5%
6 52
 
5.0%
1 42
 
4.0%
9 41
 
3.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 873
83.4%
Dash Punctuation 174
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 206
23.6%
0 139
15.9%
4 125
14.3%
8 105
12.0%
3 67
 
7.7%
5 58
 
6.6%
6 52
 
6.0%
1 42
 
4.8%
9 41
 
4.7%
7 38
 
4.4%
Dash Punctuation
ValueCountFrequency (%)
- 174
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1047
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 206
19.7%
- 174
16.6%
0 139
13.3%
4 125
11.9%
8 105
10.0%
3 67
 
6.4%
5 58
 
5.5%
6 52
 
5.0%
1 42
 
4.0%
9 41
 
3.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1047
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 206
19.7%
- 174
16.6%
0 139
13.3%
4 125
11.9%
8 105
10.0%
3 67
 
6.4%
5 58
 
5.5%
6 52
 
5.0%
1 42
 
4.0%
9 41
 
3.9%

Correlations

2023-12-12T14:59:31.523973image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
업소명업태명주음식소재지도로명주소소재지전화번호
업소명1.0001.0001.0001.0001.000
업태명1.0001.0000.5281.0001.000
주음식1.0000.5281.0001.0000.995
소재지도로명주소1.0001.0001.0001.0001.000
소재지전화번호1.0001.0000.9951.0001.000

Missing values

2023-12-12T14:59:27.650917image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T14:59:27.770915image/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

업소명업태명주음식소재지도로명주소소재지전화번호
0띠울참숯불석갈비한식석갈비대전광역시 유성구 계룡로141번길 1 (봉명동)042-822-7887
1장수촌한식누룽지삼계탕+쟁반국대전광역시 유성구 계룡로46번길 11 (봉명동)042-822-7338
2유성삼겹살식육(숯불구이)불고기류전문대전광역시 유성구 계룡로59번길 9 (봉명동)042-823-5222
3옛날숯불갈비한식소갈비+돼지갈비대전광역시 유성구 계룡로74번길 13-7 지상1층 (봉명동)042-822-7055
4유성봉명한우식육(숯불구이)한우모듬대전광역시 유성구 계룡로74번길 55 지상2층 (봉명동)042-822-7176
5연타발식육(숯불구이)소양구이대전광역시 유성구 계룡로87번길 2 지상1층 (봉명동)042-825-5072
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