Overview

Dataset statistics

Number of variables4
Number of observations356
Missing cells5
Missing cells (%)0.4%
Duplicate rows1
Duplicate rows (%)0.3%
Total size in memory11.3 KiB
Average record size in memory32.4 B

Variable types

Categorical1
Text3

Dataset

Description도내 착한가격업소 안내 및 현황
Author강원도
URLhttps://www.data.go.kr/data/3037867/fileData.do

Alerts

Dataset has 1 (0.3%) duplicate rowsDuplicates
연락처 has 5 (1.4%) missing valuesMissing

Reproduction

Analysis started2023-12-12 09:38:05.398298
Analysis finished2023-12-12 09:38:05.995595
Duration0.6 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

업종
Categorical

Distinct10
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Memory size2.9 KiB
한식
241 
이·미용업
51 
중식
 
15
세탁업
 
13
기타 양식
 
12
Other values (5)
 
24

Length

Max length7
Median length2
Mean length2.6348315
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
한식 241
67.7%
이·미용업 51
 
14.3%
중식 15
 
4.2%
세탁업 13
 
3.7%
기타 양식 12
 
3.4%
일식 8
 
2.2%
경양식 7
 
2.0%
숙박업 5
 
1.4%
목욕업 2
 
0.6%
기타 서비스업 2
 
0.6%

Length

2023-12-12T18:38:06.068413image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T18:38:06.237855image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
한식 241
65.1%
이·미용업 51
 
13.8%
중식 15
 
4.1%
기타 14
 
3.8%
세탁업 13
 
3.5%
양식 12
 
3.2%
일식 8
 
2.2%
경양식 7
 
1.9%
숙박업 5
 
1.4%
목욕업 2
 
0.5%

업소명
Text

Distinct352
Distinct (%)98.9%
Missing0
Missing (%)0.0%
Memory size2.9 KiB
2023-12-12T18:38:06.608406image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length10
Mean length5
Min length2

Characters and Unicode

Total characters1780
Distinct characters361
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

Unique348 ?
Unique (%)97.8%

Sample

1st row청재
2nd row두리감자탕
3rd row약사촌 닭갈비
4th row산마루
5th row청재
ValueCountFrequency (%)
청재 2
 
0.5%
돈가스 2
 
0.5%
현미용실 2
 
0.5%
까꼬뽀꼬미용실 2
 
0.5%
진미식당 2
 
0.5%
밀촌샤브해물칼국수 1
 
0.3%
김밥촌 1
 
0.3%
청호식당 1
 
0.3%
나영식당 1
 
0.3%
작은밥집 1
 
0.3%
Other values (361) 361
96.0%
2023-12-12T18:38:07.078988image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
식 67
 
3.8%
당 57
 
3.2%
미 50
 
2.8%
국 38
 
2.1%
이 37
 
2.1%
용 35
 
2.0%
실 34
 
1.9%
수 33
 
1.9%
집 22
 
1.2%
동 22
 
1.2%
Other values (351) 1385
77.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1740
97.8%
Space Separator 20
 
1.1%
Decimal Number 10
 
0.6%
Lowercase Letter 5
 
0.3%
Uppercase Letter 2
 
0.1%
Dash Punctuation 1
 
0.1%
Open Punctuation 1
 
0.1%
Close Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
식 67
 
3.9%
당 57
 
3.3%
미 50
 
2.9%
국 38
 
2.2%
이 37
 
2.1%
용 35
 
2.0%
실 34
 
2.0%
수 33
 
1.9%
집 22
 
1.3%
동 22
 
1.3%
Other values (338) 1345
77.3%
Decimal Number
ValueCountFrequency (%)
5 4
40.0%
8 2
20.0%
1 2
20.0%
6 1
 
10.0%
0 1
 
10.0%
Lowercase Letter
ValueCountFrequency (%)
o 3
60.0%
c 2
40.0%
Uppercase Letter
ValueCountFrequency (%)
A 1
50.0%
R 1
50.0%
Space Separator
ValueCountFrequency (%)
20
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1740
97.8%
Common 33
 
1.9%
Latin 7
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
식 67
 
3.9%
당 57
 
3.3%
미 50
 
2.9%
국 38
 
2.2%
이 37
 
2.1%
용 35
 
2.0%
실 34
 
2.0%
수 33
 
1.9%
집 22
 
1.3%
동 22
 
1.3%
Other values (338) 1345
77.3%
Common
ValueCountFrequency (%)
20
60.6%
5 4
 
12.1%
8 2
 
6.1%
1 2
 
6.1%
6 1
 
3.0%
0 1
 
3.0%
- 1
 
3.0%
( 1
 
3.0%
) 1
 
3.0%
Latin
ValueCountFrequency (%)
o 3
42.9%
c 2
28.6%
A 1
 
14.3%
R 1
 
14.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1740
97.8%
ASCII 40
 
2.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
식 67
 
3.9%
당 57
 
3.3%
미 50
 
2.9%
국 38
 
2.2%
이 37
 
2.1%
용 35
 
2.0%
실 34
 
2.0%
수 33
 
1.9%
집 22
 
1.3%
동 22
 
1.3%
Other values (338) 1345
77.3%
ASCII
ValueCountFrequency (%)
20
50.0%
5 4
 
10.0%
o 3
 
7.5%
c 2
 
5.0%
8 2
 
5.0%
1 2
 
5.0%
6 1
 
2.5%
0 1
 
2.5%
- 1
 
2.5%
A 1
 
2.5%
Other values (3) 3
 
7.5%

주소
Text

Distinct351
Distinct (%)98.6%
Missing0
Missing (%)0.0%
Memory size2.9 KiB
2023-12-12T18:38:07.374068image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length30
Median length25
Mean length19.042135
Min length12

Characters and Unicode

Total characters6779
Distinct characters214
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

Unique346 ?
Unique (%)97.2%

Sample

1st row강원도 춘천시 서면 박사로 927
2nd row강원도 춘천시 후평동 748-4
3rd row강원도 춘천시 공지로384-9
4th row강원도 춘천시 백령로 171-1(1층)
5th row강원도 춘천시 서면 박사로 927
ValueCountFrequency (%)
강원도 356
23.6%
강릉시 68
 
4.5%
삼척시 34
 
2.3%
춘천시 34
 
2.3%
동해시 33
 
2.2%
고성군 22
 
1.5%
횡성군 21
 
1.4%
원주시 20
 
1.3%
횡성읍 19
 
1.3%
영월군 18
 
1.2%
Other values (576) 882
58.5%
2023-12-12T18:38:07.840290image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1151
 
17.0%
강 438
 
6.5%
원 392
 
5.8%
도 362
 
5.3%
1 246
 
3.6%
시 235
 
3.5%
로 211
 
3.1%
길 202
 
3.0%
2 171
 
2.5%
군 148
 
2.2%
Other values (204) 3223
47.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4190
61.8%
Space Separator 1151
 
17.0%
Decimal Number 1120
 
16.5%
Dash Punctuation 114
 
1.7%
Open Punctuation 100
 
1.5%
Close Punctuation 99
 
1.5%
Other Punctuation 4
 
0.1%
Uppercase Letter 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
강 438
 
10.5%
원 392
 
9.4%
도 362
 
8.6%
시 235
 
5.6%
로 211
 
5.0%
길 202
 
4.8%
군 148
 
3.5%
동 145
 
3.5%
성 119
 
2.8%
읍 107
 
2.6%
Other values (187) 1831
43.7%
Decimal Number
ValueCountFrequency (%)
1 246
22.0%
2 171
15.3%
3 135
12.1%
4 116
10.4%
5 92
 
8.2%
6 87
 
7.8%
7 75
 
6.7%
9 71
 
6.3%
8 67
 
6.0%
0 60
 
5.4%
Other Punctuation
ValueCountFrequency (%)
, 3
75.0%
. 1
 
25.0%
Space Separator
ValueCountFrequency (%)
1151
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 114
100.0%
Open Punctuation
ValueCountFrequency (%)
( 100
100.0%
Close Punctuation
ValueCountFrequency (%)
) 99
100.0%
Uppercase Letter
ValueCountFrequency (%)
A 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4190
61.8%
Common 2588
38.2%
Latin 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
강 438
 
10.5%
원 392
 
9.4%
도 362
 
8.6%
시 235
 
5.6%
로 211
 
5.0%
길 202
 
4.8%
군 148
 
3.5%
동 145
 
3.5%
성 119
 
2.8%
읍 107
 
2.6%
Other values (187) 1831
43.7%
Common
ValueCountFrequency (%)
1151
44.5%
1 246
 
9.5%
2 171
 
6.6%
3 135
 
5.2%
4 116
 
4.5%
- 114
 
4.4%
( 100
 
3.9%
) 99
 
3.8%
5 92
 
3.6%
6 87
 
3.4%
Other values (6) 277
 
10.7%
Latin
ValueCountFrequency (%)
A 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4190
61.8%
ASCII 2589
38.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1151
44.5%
1 246
 
9.5%
2 171
 
6.6%
3 135
 
5.2%
4 116
 
4.5%
- 114
 
4.4%
( 100
 
3.9%
) 99
 
3.8%
5 92
 
3.6%
6 87
 
3.4%
Other values (7) 278
 
10.7%
Hangul
ValueCountFrequency (%)
강 438
 
10.5%
원 392
 
9.4%
도 362
 
8.6%
시 235
 
5.6%
로 211
 
5.0%
길 202
 
4.8%
군 148
 
3.5%
동 145
 
3.5%
성 119
 
2.8%
읍 107
 
2.6%
Other values (187) 1831
43.7%

연락처
Text

MISSING 

Distinct349
Distinct (%)99.4%
Missing5
Missing (%)1.4%
Memory size2.9 KiB
2023-12-12T18:38:08.093223image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length12
Mean length12.005698
Min length11

Characters and Unicode

Total characters4214
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

Unique347 ?
Unique (%)98.9%

Sample

1st row033-255-2867
2nd row033-244-2847
3rd row033-256-9255
4th row033-241-0769
5th row033-255-2867
ValueCountFrequency (%)
033-373-9039 2
 
0.6%
033-255-2867 2
 
0.6%
033-671-6049 1
 
0.3%
033-343-5039 1
 
0.3%
033-343-3232 1
 
0.3%
033-343-4469 1
 
0.3%
033-345-3124 1
 
0.3%
033-344-0404 1
 
0.3%
033-344-2900 1
 
0.3%
033-343-5023 1
 
0.3%
Other values (339) 339
96.6%
2023-12-12T18:38:08.624714image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3 1033
24.5%
- 701
16.6%
0 518
12.3%
5 341
 
8.1%
4 303
 
7.2%
2 277
 
6.6%
6 275
 
6.5%
7 223
 
5.3%
1 203
 
4.8%
8 201
 
4.8%
Other values (2) 139
 
3.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 3512
83.3%
Dash Punctuation 701
 
16.6%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 1033
29.4%
0 518
14.7%
5 341
 
9.7%
4 303
 
8.6%
2 277
 
7.9%
6 275
 
7.8%
7 223
 
6.3%
1 203
 
5.8%
8 201
 
5.7%
9 138
 
3.9%
Dash Punctuation
ValueCountFrequency (%)
- 701
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 4214
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
3 1033
24.5%
- 701
16.6%
0 518
12.3%
5 341
 
8.1%
4 303
 
7.2%
2 277
 
6.6%
6 275
 
6.5%
7 223
 
5.3%
1 203
 
4.8%
8 201
 
4.8%
Other values (2) 139
 
3.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4214
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3 1033
24.5%
- 701
16.6%
0 518
12.3%
5 341
 
8.1%
4 303
 
7.2%
2 277
 
6.6%
6 275
 
6.5%
7 223
 
5.3%
1 203
 
4.8%
8 201
 
4.8%
Other values (2) 139
 
3.3%

Missing values

2023-12-12T18:38:05.852891image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T18:38:05.957299image/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

업종업소명주소연락처
0한식청재강원도 춘천시 서면 박사로 927033-255-2867
1한식두리감자탕강원도 춘천시 후평동 748-4033-244-2847
2한식약사촌 닭갈비강원도 춘천시 공지로384-9033-256-9255
3한식산마루강원도 춘천시 백령로 171-1(1층)033-241-0769
4한식청재강원도 춘천시 서면 박사로 927033-255-2867
5한식58전집강원도 춘천시 명동길29번길 8-8033-242-8845
6한식춘천뒷고기강원도 춘천시 우묵길 52(신사우동)033-251-0430
7한식왕가한식부페강원도 춘천시 석사길15(석사동)033-261-0559
8한식광치해장국강원도 춘천시 소양로 108(소양동)033-253-1110
9한식해미담강원도 춘천시 효자로24번길 12(퇴계동)033-241-7376
업종업소명주소연락처
346이·미용업현미용실강원도 고성군 간성읍 간성시장3길 7-1033-682-4717
347한식원조 송이와 능이향강원도 양양군 양양읍 남문5길9 시장상가033-671-7788
348한식선이네강원도 양양군 양양읍 양양로51033-671-1516
349한식오뚜기식당강원도 양양군 양양읍 남문5길9033-671-3048
350한식대흥한우정육식당강원도 양양군 양양읍 동해대로2661-17033-671-8522
351한식복골메밀국수강원도 양양군 강현면 하복길38번길17-7033-671-7288
352한식너래바우강원도 양양군 양양읍 남문로 16-14033-671-1987
353한식유천식당강원도 양양군 군청길 52033-672-2668
354중식인구반점강원도 양양군 인구중앙길 46-23033-671-6049
355숙박업금강산모텔강원도 양양군 해맞이길 8-24033-671-0066

Duplicate rows

Most frequently occurring

업종업소명주소연락처# duplicates
0한식청재강원도 춘천시 서면 박사로 927033-255-28672