Overview

Dataset statistics

Number of variables4
Number of observations27
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory996.0 B
Average record size in memory36.9 B

Variable types

Text4

Dataset

Description농림축산식품부와 한국농수산식품유통공사(aT)지정 우수외식업지구의 식당 정보 및 현황에 관한 정보 데이터 제공
Author농림축산식품부
URLhttps://www.data.go.kr/data/15083356/fileData.do

Alerts

업체명 has unique valuesUnique
연락처 has unique valuesUnique

Reproduction

Analysis started2023-12-12 09:50:28.279387
Analysis finished2023-12-12 09:50:28.706251
Duration0.43 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

업체명
Text

UNIQUE 

Distinct27
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size348.0 B
2023-12-12T18:50:28.852700image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length9
Median length7
Mean length5.1481481
Min length2

Characters and Unicode

Total characters139
Distinct characters86
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

Unique27 ?
Unique (%)100.0%

Sample

1st row올레가바당
2nd row카훼리횟집
3rd row청목흑돼지
4th row여기가좋겠네
5th row전주횟집
ValueCountFrequency (%)
삼다도횟집 2
 
6.5%
올레가바당 1
 
3.2%
외가집횟집 1
 
3.2%
해경횟집 1
 
3.2%
부르네전복구이 1
 
3.2%
어영해녀촌횟집 1
 
3.2%
1호점 1
 
3.2%
성우가든 1
 
3.2%
누이횟집 1
 
3.2%
쌍알 1
 
3.2%
Other values (20) 20
64.5%
2023-12-12T18:50:29.212711image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
집 11
 
7.9%
횟 10
 
7.2%
가 4
 
2.9%
4
 
2.9%
해 4
 
2.9%
도 4
 
2.9%
어 4
 
2.9%
이 4
 
2.9%
다 3
 
2.2%
로 2
 
1.4%
Other values (76) 89
64.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 134
96.4%
Space Separator 4
 
2.9%
Decimal Number 1
 
0.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
집 11
 
8.2%
횟 10
 
7.5%
가 4
 
3.0%
해 4
 
3.0%
도 4
 
3.0%
어 4
 
3.0%
이 4
 
3.0%
다 3
 
2.2%
로 2
 
1.5%
전 2
 
1.5%
Other values (74) 86
64.2%
Space Separator
ValueCountFrequency (%)
4
100.0%
Decimal Number
ValueCountFrequency (%)
1 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 134
96.4%
Common 5
 
3.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
집 11
 
8.2%
횟 10
 
7.5%
가 4
 
3.0%
해 4
 
3.0%
도 4
 
3.0%
어 4
 
3.0%
이 4
 
3.0%
다 3
 
2.2%
로 2
 
1.5%
전 2
 
1.5%
Other values (74) 86
64.2%
Common
ValueCountFrequency (%)
4
80.0%
1 1
 
20.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 134
96.4%
ASCII 5
 
3.6%

Most frequent character per block

Hangul
ValueCountFrequency (%)
집 11
 
8.2%
횟 10
 
7.5%
가 4
 
3.0%
해 4
 
3.0%
도 4
 
3.0%
어 4
 
3.0%
이 4
 
3.0%
다 3
 
2.2%
로 2
 
1.5%
전 2
 
1.5%
Other values (74) 86
64.2%
ASCII
ValueCountFrequency (%)
4
80.0%
1 1
 
20.0%

연락처
Text

UNIQUE 

Distinct27
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size348.0 B
2023-12-12T18:50:29.442114image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length8
Mean length8
Min length8

Characters and Unicode

Total characters216
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

Unique27 ?
Unique (%)100.0%

Sample

1st row712-6468
2nd row743-6664
3rd row712-5259
4th row711-2936
5th row712-1189
ValueCountFrequency (%)
712-6468 1
 
3.7%
743-0134 1
 
3.7%
711-9669 1
 
3.7%
713-6223 1
 
3.7%
746-9874 1
 
3.7%
758-8881 1
 
3.7%
746-0003 1
 
3.7%
711-6753 1
 
3.7%
747-3592 1
 
3.7%
713-4444 1
 
3.7%
Other values (17) 17
63.0%
2023-12-12T18:50:30.246800image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
7 33
15.3%
1 30
13.9%
4 28
13.0%
- 27
12.5%
2 18
8.3%
9 17
7.9%
3 15
6.9%
6 14
6.5%
8 14
6.5%
5 10
 
4.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 189
87.5%
Dash Punctuation 27
 
12.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
7 33
17.5%
1 30
15.9%
4 28
14.8%
2 18
9.5%
9 17
9.0%
3 15
7.9%
6 14
7.4%
8 14
7.4%
5 10
 
5.3%
0 10
 
5.3%
Dash Punctuation
ValueCountFrequency (%)
- 27
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 216
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
7 33
15.3%
1 30
13.9%
4 28
13.0%
- 27
12.5%
2 18
8.3%
9 17
7.9%
3 15
6.9%
6 14
6.5%
8 14
6.5%
5 10
 
4.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 216
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
7 33
15.3%
1 30
13.9%
4 28
13.0%
- 27
12.5%
2 18
8.3%
9 17
7.9%
3 15
6.9%
6 14
6.5%
8 14
6.5%
5 10
 
4.6%

주소
Text

Distinct23
Distinct (%)85.2%
Missing0
Missing (%)0.0%
Memory size348.0 B
2023-12-12T18:50:30.436074image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length8
Mean length8.2222222
Min length6

Characters and Unicode

Total characters222
Distinct characters19
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

Unique20 ?
Unique (%)74.1%

Sample

1st row서해안로 456-4
2nd row서해안로 560
3rd row어영길 19
4th row서해안로 472-2
5th row서해안로 546
ValueCountFrequency (%)
서해안로 23
42.6%
어영길 4
 
7.4%
560 3
 
5.6%
578 2
 
3.7%
456-4 2
 
3.7%
372 1
 
1.9%
480 1
 
1.9%
376 1
 
1.9%
456 1
 
1.9%
568 1
 
1.9%
Other values (15) 15
27.8%
2023-12-12T18:50:30.763762image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
27
12.2%
서 23
10.4%
해 23
10.4%
안 23
10.4%
로 23
10.4%
4 16
 
7.2%
5 14
 
6.3%
6 14
 
6.3%
8 8
 
3.6%
7 8
 
3.6%
Other values (9) 43
19.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 104
46.8%
Decimal Number 84
37.8%
Space Separator 27
 
12.2%
Dash Punctuation 7
 
3.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
4 16
19.0%
5 14
16.7%
6 14
16.7%
8 8
9.5%
7 8
9.5%
0 8
9.5%
2 6
 
7.1%
1 5
 
6.0%
9 3
 
3.6%
3 2
 
2.4%
Other Letter
ValueCountFrequency (%)
서 23
22.1%
해 23
22.1%
안 23
22.1%
로 23
22.1%
어 4
 
3.8%
영 4
 
3.8%
길 4
 
3.8%
Space Separator
ValueCountFrequency (%)
27
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 7
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 118
53.2%
Hangul 104
46.8%

Most frequent character per script

Common
ValueCountFrequency (%)
27
22.9%
4 16
13.6%
5 14
11.9%
6 14
11.9%
8 8
 
6.8%
7 8
 
6.8%
0 8
 
6.8%
- 7
 
5.9%
2 6
 
5.1%
1 5
 
4.2%
Other values (2) 5
 
4.2%
Hangul
ValueCountFrequency (%)
서 23
22.1%
해 23
22.1%
안 23
22.1%
로 23
22.1%
어 4
 
3.8%
영 4
 
3.8%
길 4
 
3.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 118
53.2%
Hangul 104
46.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
27
22.9%
4 16
13.6%
5 14
11.9%
6 14
11.9%
8 8
 
6.8%
7 8
 
6.8%
0 8
 
6.8%
- 7
 
5.9%
2 6
 
5.1%
1 5
 
4.2%
Other values (2) 5
 
4.2%
Hangul
ValueCountFrequency (%)
서 23
22.1%
해 23
22.1%
안 23
22.1%
로 23
22.1%
어 4
 
3.8%
영 4
 
3.8%
길 4
 
3.8%

주요메뉴
Text

Distinct26
Distinct (%)96.3%
Missing0
Missing (%)0.0%
Memory size348.0 B
2023-12-12T18:50:31.006327image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length12
Mean length8.8888889
Min length3

Characters and Unicode

Total characters240
Distinct characters100
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

Unique25 ?
Unique (%)92.6%

Sample

1st row고사리갈치조림
2nd row뱅애돔회
3rd row흑돼지오겹살꼬치구이
4th row애호박해물버섯전골
5th row참돔회,해물전골
ValueCountFrequency (%)
돔보듬회,갓돔회 2
 
7.1%
제주돈가스,새우커리크림스파게티 1
 
3.6%
참돔회,갈치조림 1
 
3.6%
참돔회,돌돔회 1
 
3.6%
흑돼지특선,스페셜코스 1
 
3.6%
해물전골 1
 
3.6%
삼계탕 1
 
3.6%
돔모듬회,북바리회 1
 
3.6%
돌돔회,구문쟁이회 1
 
3.6%
토끼상차림,거북이상차림 1
 
3.6%
Other values (17) 17
60.7%
2023-12-12T18:50:31.411635image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
회 20
 
8.3%
, 18
 
7.5%
돔 12
 
5.0%
스 9
 
3.8%
리 8
 
3.3%
듬 6
 
2.5%
전 5
 
2.1%
림 5
 
2.1%
이 5
 
2.1%
모 4
 
1.7%
Other values (90) 148
61.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 221
92.1%
Other Punctuation 18
 
7.5%
Space Separator 1
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
회 20
 
9.0%
돔 12
 
5.4%
스 9
 
4.1%
리 8
 
3.6%
듬 6
 
2.7%
전 5
 
2.3%
림 5
 
2.3%
이 5
 
2.3%
모 4
 
1.8%
페 4
 
1.8%
Other values (88) 143
64.7%
Other Punctuation
ValueCountFrequency (%)
, 18
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 221
92.1%
Common 19
 
7.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
회 20
 
9.0%
돔 12
 
5.4%
스 9
 
4.1%
리 8
 
3.6%
듬 6
 
2.7%
전 5
 
2.3%
림 5
 
2.3%
이 5
 
2.3%
모 4
 
1.8%
페 4
 
1.8%
Other values (88) 143
64.7%
Common
ValueCountFrequency (%)
, 18
94.7%
1
 
5.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 221
92.1%
ASCII 19
 
7.9%

Most frequent character per block

Hangul
ValueCountFrequency (%)
회 20
 
9.0%
돔 12
 
5.4%
스 9
 
4.1%
리 8
 
3.6%
듬 6
 
2.7%
전 5
 
2.3%
림 5
 
2.3%
이 5
 
2.3%
모 4
 
1.8%
페 4
 
1.8%
Other values (88) 143
64.7%
ASCII
ValueCountFrequency (%)
, 18
94.7%
1
 
5.3%

Correlations

2023-12-12T18:50:31.545676image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
업체명연락처주소주요메뉴
업체명1.0001.0001.0001.000
연락처1.0001.0001.0001.000
주소1.0001.0001.0000.952
주요메뉴1.0001.0000.9521.000

Missing values

2023-12-12T18:50:28.533391image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T18:50:28.669628image/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

업체명연락처주소주요메뉴
0올레가바당712-6468서해안로 456-4고사리갈치조림
1카훼리횟집743-6664서해안로 560뱅애돔회
2청목흑돼지712-5259어영길 19흑돼지오겹살꼬치구이
3여기가좋겠네711-2936서해안로 472-2애호박해물버섯전골
4전주횟집712-1189서해안로 546참돔회,해물전골
5어부횟집711-7742서해안로 488모듬회, 어부회정식
6마린보이742-2843서해안로 476돔모듬회,다금바리회
7고도정743-1514어영길 15오리코스요리
8삼다도횟집 본점711-7080서해안로 572돔보듬회,갓돔회
9해안도로바다사랑742-9982서해안로 560북바리회,구문쟁이회
업체명연락처주소주요메뉴
17해변풍경횟집711-1395서해안로 472풍경스페셜,모듬회
18토끼와거북이713-4444서해안로 498-6토끼상차림,거북이상차림
19쌍알747-3592서해안로 500돌돔회,구문쟁이회
20누이횟집711-6753서해안로 560돔모듬회,북바리회
21성우가든746-0003어영길 10삼계탕
22삼다도횟집 1호점758-8881서해안로 568돔보듬회,갓돔회
23어영해녀촌횟집746-9874서해안로 456해물전골
24부르네전복구이713-6223서해안로 376흑돼지특선,스페셜코스
25해경횟집711-9669서해안로 456-4참돔회,돌돔회
26아랑존743-9669서해안로 486-1전복돌솥밥,전복뚝배기