Overview

Dataset statistics

Number of variables8
Number of observations231
Missing cells24
Missing cells (%)1.3%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory14.6 KiB
Average record size in memory64.6 B

Variable types

Categorical2
Text5
DateTime1

Dataset

Description제주특별자치도에서 지정하는 착한가격업소와 관련한 데이터로 지역, 업소명 업종, 연락처, 주소, 영업정보, 품목 등 의 정보를 제공합니다. 자세한 정보는 http://www.jeju.go.kr/sobi/index.htm 에서 참고하시기 바랍니다.
URLhttps://www.data.go.kr/data/15082982/fileData.do

Alerts

데이터기준일자 has constant value ""Constant
업종 is highly imbalanced (54.7%)Imbalance
연락처 has 23 (10.0%) missing valuesMissing

Reproduction

Analysis started2023-12-12 18:32:33.685701
Analysis finished2023-12-12 18:32:34.689289
Duration1 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

지역
Categorical

Distinct2
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
제주시
174 
서귀포시
57 

Length

Max length4
Median length3
Mean length3.2467532
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
제주시 174
75.3%
서귀포시 57
 
24.7%

Length

2023-12-13T03:32:34.758624image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T03:32:34.855994image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
제주시 174
75.3%
서귀포시 57
 
24.7%

업소명
Text

Distinct229
Distinct (%)99.1%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
2023-12-13T03:32:35.115605image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length13
Mean length5.2640693
Min length2

Characters and Unicode

Total characters1216
Distinct characters335
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique227 ?
Unique (%)98.3%

Sample

1st row영천이용원
2nd row영미용실
3rd row소리헤어샵
4th row윤경미용실
5th row웰빙이용원
ValueCountFrequency (%)
오규동 2
 
0.8%
성광식당 2
 
0.8%
남원콩나물국밥 1
 
0.4%
애진 1
 
0.4%
영천이용원 1
 
0.4%
왕왕순대국밥몸국 1
 
0.4%
우리두리 1
 
0.4%
김녕빵집 1
 
0.4%
소라횟집 1
 
0.4%
해림식당 1
 
0.4%
Other values (232) 232
95.1%
2023-12-13T03:32:35.919138image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
이 33
 
2.7%
당 31
 
2.5%
식 27
 
2.2%
국 25
 
2.1%
용 19
 
1.6%
스 18
 
1.5%
수 17
 
1.4%
주 17
 
1.4%
리 17
 
1.4%
미 17
 
1.4%
Other values (325) 995
81.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1182
97.2%
Space Separator 13
 
1.1%
Decimal Number 8
 
0.7%
Lowercase Letter 4
 
0.3%
Close Punctuation 3
 
0.2%
Open Punctuation 3
 
0.2%
Uppercase Letter 3
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 33
 
2.8%
당 31
 
2.6%
식 27
 
2.3%
국 25
 
2.1%
용 19
 
1.6%
스 18
 
1.5%
수 17
 
1.4%
주 17
 
1.4%
리 17
 
1.4%
미 17
 
1.4%
Other values (312) 961
81.3%
Decimal Number
ValueCountFrequency (%)
2 3
37.5%
0 2
25.0%
8 1
 
12.5%
1 1
 
12.5%
4 1
 
12.5%
Lowercase Letter
ValueCountFrequency (%)
k 2
50.0%
a 1
25.0%
m 1
25.0%
Uppercase Letter
ValueCountFrequency (%)
J 2
66.7%
R 1
33.3%
Space Separator
ValueCountFrequency (%)
13
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1182
97.2%
Common 27
 
2.2%
Latin 7
 
0.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
이 33
 
2.8%
당 31
 
2.6%
식 27
 
2.3%
국 25
 
2.1%
용 19
 
1.6%
스 18
 
1.5%
수 17
 
1.4%
주 17
 
1.4%
리 17
 
1.4%
미 17
 
1.4%
Other values (312) 961
81.3%
Common
ValueCountFrequency (%)
13
48.1%
2 3
 
11.1%
) 3
 
11.1%
( 3
 
11.1%
0 2
 
7.4%
8 1
 
3.7%
1 1
 
3.7%
4 1
 
3.7%
Latin
ValueCountFrequency (%)
k 2
28.6%
J 2
28.6%
a 1
14.3%
m 1
14.3%
R 1
14.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1182
97.2%
ASCII 34
 
2.8%

Most frequent character per block

Hangul
ValueCountFrequency (%)
이 33
 
2.8%
당 31
 
2.6%
식 27
 
2.3%
국 25
 
2.1%
용 19
 
1.6%
스 18
 
1.5%
수 17
 
1.4%
주 17
 
1.4%
리 17
 
1.4%
미 17
 
1.4%
Other values (312) 961
81.3%
ASCII
ValueCountFrequency (%)
13
38.2%
2 3
 
8.8%
) 3
 
8.8%
( 3
 
8.8%
k 2
 
5.9%
0 2
 
5.9%
J 2
 
5.9%
8 1
 
2.9%
a 1
 
2.9%
1 1
 
2.9%
Other values (3) 3
 
8.8%

업종
Categorical

IMBALANCE 

Distinct6
Distinct (%)2.6%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
음식점
176 
이미용
31 
숙박업
 
16
기타
 
4
세탁업
 
3

Length

Max length3
Median length3
Mean length2.982684
Min length2

Unique

Unique1 ?
Unique (%)0.4%

Sample

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

Common Values

ValueCountFrequency (%)
음식점 176
76.2%
이미용 31
 
13.4%
숙박업 16
 
6.9%
기타 4
 
1.7%
세탁업 3
 
1.3%
목욕업 1
 
0.4%

Length

2023-12-13T03:32:36.162469image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T03:32:36.295718image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
음식점 176
76.2%
이미용 31
 
13.4%
숙박업 16
 
6.9%
기타 4
 
1.7%
세탁업 3
 
1.3%
목욕업 1
 
0.4%

연락처
Text

MISSING 

Distinct205
Distinct (%)98.6%
Missing23
Missing (%)10.0%
Memory size1.9 KiB
2023-12-13T03:32:36.602579image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length12
Mean length12.134615
Min length12

Characters and Unicode

Total characters2524
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

Unique202 ?
Unique (%)97.1%

Sample

1st row064-732-7683
2nd row064-762-8043
3rd row064-762-0806
4th row064-762-1954
5th row064-738-6444
ValueCountFrequency (%)
064-733-0590 2
 
1.0%
064-767-4110 2
 
1.0%
064-723-0720 2
 
1.0%
064-724-1629 1
 
0.5%
064-724-5525 1
 
0.5%
064-723-3367 1
 
0.5%
064-752-2475 1
 
0.5%
064-722-4229 1
 
0.5%
064-702-9219 1
 
0.5%
064-753-1793 1
 
0.5%
Other values (195) 195
93.8%
2023-12-13T03:32:37.204045image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 416
16.5%
0 360
14.3%
4 325
12.9%
7 290
11.5%
6 289
11.5%
2 169
6.7%
3 166
 
6.6%
5 146
 
5.8%
8 131
 
5.2%
1 120
 
4.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2108
83.5%
Dash Punctuation 416
 
16.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 360
17.1%
4 325
15.4%
7 290
13.8%
6 289
13.7%
2 169
8.0%
3 166
7.9%
5 146
6.9%
8 131
 
6.2%
1 120
 
5.7%
9 112
 
5.3%
Dash Punctuation
ValueCountFrequency (%)
- 416
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2524
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 416
16.5%
0 360
14.3%
4 325
12.9%
7 290
11.5%
6 289
11.5%
2 169
6.7%
3 166
 
6.6%
5 146
 
5.8%
8 131
 
5.2%
1 120
 
4.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2524
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 416
16.5%
0 360
14.3%
4 325
12.9%
7 290
11.5%
6 289
11.5%
2 169
6.7%
3 166
 
6.6%
5 146
 
5.8%
8 131
 
5.2%
1 120
 
4.8%

주소
Text

Distinct226
Distinct (%)97.8%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
2023-12-13T03:32:37.800920image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length38
Median length31
Mean length24.376623
Min length17

Characters and Unicode

Total characters5631
Distinct characters192
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique221 ?
Unique (%)95.7%

Sample

1st row제주특별자치도 서귀포시 516로 462(상효동)
2nd row제주특별자치도 서귀포시 이중섭로 5-7(서귀동)
3rd row제주특별자치도 서귀포시 중앙로4번길 4(서귀동)
4th row제주특별자치도 서귀포시 중정로 91번길 53-1
5th row제주특별자치도 서귀포시 천제연로188번길 6-6(중문동)
ValueCountFrequency (%)
제주특별자치도 231
22.1%
제주시 162
 
15.5%
서귀포시 69
 
6.6%
1층 25
 
2.4%
조천읍 12
 
1.1%
성산읍 8
 
0.8%
중앙로 8
 
0.8%
애월읍 8
 
0.8%
구좌읍 6
 
0.6%
번영로 5
 
0.5%
Other values (393) 511
48.9%
2023-12-13T03:32:38.552328image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
815
 
14.5%
주 398
 
7.1%
제 397
 
7.1%
도 266
 
4.7%
자 240
 
4.3%
특 231
 
4.1%
별 231
 
4.1%
치 231
 
4.1%
시 231
 
4.1%
로 196
 
3.5%
Other values (182) 2395
42.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3823
67.9%
Space Separator 815
 
14.5%
Decimal Number 725
 
12.9%
Open Punctuation 103
 
1.8%
Close Punctuation 103
 
1.8%
Dash Punctuation 52
 
0.9%
Uppercase Letter 8
 
0.1%
Lowercase Letter 1
 
< 0.1%
Other Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 398
 
10.4%
제 397
 
10.4%
도 266
 
7.0%
자 240
 
6.3%
특 231
 
6.0%
별 231
 
6.0%
치 231
 
6.0%
시 231
 
6.0%
로 196
 
5.1%
동 130
 
3.4%
Other values (159) 1272
33.3%
Decimal Number
ValueCountFrequency (%)
1 187
25.8%
2 108
14.9%
3 86
11.9%
4 66
 
9.1%
6 62
 
8.6%
5 53
 
7.3%
7 45
 
6.2%
8 44
 
6.1%
9 38
 
5.2%
0 36
 
5.0%
Uppercase Letter
ValueCountFrequency (%)
A 2
25.0%
P 1
12.5%
C 1
12.5%
Z 1
12.5%
O 1
12.5%
N 1
12.5%
E 1
12.5%
Space Separator
ValueCountFrequency (%)
815
100.0%
Open Punctuation
ValueCountFrequency (%)
( 103
100.0%
Close Punctuation
ValueCountFrequency (%)
) 103
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 52
100.0%
Lowercase Letter
ValueCountFrequency (%)
d 1
100.0%
Other Punctuation
ValueCountFrequency (%)
. 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3823
67.9%
Common 1799
31.9%
Latin 9
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 398
 
10.4%
제 397
 
10.4%
도 266
 
7.0%
자 240
 
6.3%
특 231
 
6.0%
별 231
 
6.0%
치 231
 
6.0%
시 231
 
6.0%
로 196
 
5.1%
동 130
 
3.4%
Other values (159) 1272
33.3%
Common
ValueCountFrequency (%)
815
45.3%
1 187
 
10.4%
2 108
 
6.0%
( 103
 
5.7%
) 103
 
5.7%
3 86
 
4.8%
4 66
 
3.7%
6 62
 
3.4%
5 53
 
2.9%
- 52
 
2.9%
Other values (5) 164
 
9.1%
Latin
ValueCountFrequency (%)
A 2
22.2%
d 1
11.1%
P 1
11.1%
C 1
11.1%
Z 1
11.1%
O 1
11.1%
N 1
11.1%
E 1
11.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3823
67.9%
ASCII 1808
32.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
815
45.1%
1 187
 
10.3%
2 108
 
6.0%
( 103
 
5.7%
) 103
 
5.7%
3 86
 
4.8%
4 66
 
3.7%
6 62
 
3.4%
5 53
 
2.9%
- 52
 
2.9%
Other values (13) 173
 
9.6%
Hangul
ValueCountFrequency (%)
주 398
 
10.4%
제 397
 
10.4%
도 266
 
7.0%
자 240
 
6.3%
특 231
 
6.0%
별 231
 
6.0%
치 231
 
6.0%
시 231
 
6.0%
로 196
 
5.1%
동 130
 
3.4%
Other values (159) 1272
33.3%

영업정보
Text

Distinct204
Distinct (%)88.7%
Missing1
Missing (%)0.4%
Memory size1.9 KiB
2023-12-13T03:32:38.900479image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length80
Median length60
Mean length24.06087
Min length11

Characters and Unicode

Total characters5534
Distinct characters123
Distinct categories8 ?
Distinct scripts2 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique187 ?
Unique (%)81.3%

Sample

1st row07:30~19:00(화요일 정기휴무)
2nd row08:00~18:00(연중무휴)
3rd row09:00~20:00(화요일 정기휴무)
4th row09:00~21:30(수요일 정기휴무)
5th row08:00~19:00(월요일 정기휴무)
ValueCountFrequency (%)
정기휴무 141
 
21.3%
55
 
8.3%
일요일 23
 
3.5%
당일 11
 
1.7%
입실 9
 
1.4%
연중무휴 9
 
1.4%
월요일 9
 
1.4%
15:00~17:00 9
 
1.4%
11:00 7
 
1.1%
휴무 7
 
1.1%
Other values (281) 381
57.6%
2023-12-13T03:32:39.444631image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 1151
20.8%
: 526
 
9.5%
431
 
7.8%
1 389
 
7.0%
~ 258
 
4.7%
일 239
 
4.3%
2 211
 
3.8%
휴 192
 
3.5%
) 192
 
3.5%
( 191
 
3.5%
Other values (113) 1754
31.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2138
38.6%
Other Letter 1742
31.5%
Other Punctuation 579
 
10.5%
Space Separator 431
 
7.8%
Math Symbol 258
 
4.7%
Close Punctuation 192
 
3.5%
Open Punctuation 191
 
3.5%
Dash Punctuation 3
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
일 239
13.7%
휴 192
 
11.0%
무 184
 
10.6%
기 145
 
8.3%
정 143
 
8.2%
요 143
 
8.2%
연 40
 
2.3%
째 36
 
2.1%
중 34
 
2.0%
월 34
 
2.0%
Other values (93) 552
31.7%
Decimal Number
ValueCountFrequency (%)
0 1151
53.8%
1 389
 
18.2%
2 211
 
9.9%
3 109
 
5.1%
7 63
 
2.9%
9 63
 
2.9%
8 45
 
2.1%
4 41
 
1.9%
6 34
 
1.6%
5 32
 
1.5%
Other Punctuation
ValueCountFrequency (%)
: 526
90.8%
/ 47
 
8.1%
. 3
 
0.5%
· 2
 
0.3%
※ 1
 
0.2%
Space Separator
ValueCountFrequency (%)
431
100.0%
Math Symbol
ValueCountFrequency (%)
~ 258
100.0%
Close Punctuation
ValueCountFrequency (%)
) 192
100.0%
Open Punctuation
ValueCountFrequency (%)
( 191
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3792
68.5%
Hangul 1742
31.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
일 239
13.7%
휴 192
 
11.0%
무 184
 
10.6%
기 145
 
8.3%
정 143
 
8.2%
요 143
 
8.2%
연 40
 
2.3%
째 36
 
2.1%
중 34
 
2.0%
월 34
 
2.0%
Other values (93) 552
31.7%
Common
ValueCountFrequency (%)
0 1151
30.4%
: 526
13.9%
431
 
11.4%
1 389
 
10.3%
~ 258
 
6.8%
2 211
 
5.6%
) 192
 
5.1%
( 191
 
5.0%
3 109
 
2.9%
7 63
 
1.7%
Other values (10) 271
 
7.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3789
68.5%
Hangul 1742
31.5%
None 2
 
< 0.1%
Punctuation 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 1151
30.4%
: 526
13.9%
431
 
11.4%
1 389
 
10.3%
~ 258
 
6.8%
2 211
 
5.6%
) 192
 
5.1%
( 191
 
5.0%
3 109
 
2.9%
7 63
 
1.7%
Other values (8) 268
 
7.1%
Hangul
ValueCountFrequency (%)
일 239
13.7%
휴 192
 
11.0%
무 184
 
10.6%
기 145
 
8.3%
정 143
 
8.2%
요 143
 
8.2%
연 40
 
2.3%
째 36
 
2.1%
중 34
 
2.0%
월 34
 
2.0%
Other values (93) 552
31.7%
None
ValueCountFrequency (%)
· 2
100.0%
Punctuation
ValueCountFrequency (%)
※ 1
100.0%

품목
Text

Distinct229
Distinct (%)99.1%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
2023-12-13T03:32:39.813622image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length110
Median length66
Mean length37.471861
Min length8

Characters and Unicode

Total characters8656
Distinct characters353
Distinct categories9 ?
Distinct scripts4 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique227 ?
Unique (%)98.3%

Sample

1st row커트 12000원 이발 15000원
2nd row커트 10000원 파마 30000원 올림머리 30000원 특파마 50000원 남자커트 10000원
3rd row일반펌 30000원 염색 30000원
4th row커트 10000원 펌(기본) 25000원
5th row커트 10000~13000원 염색 13000원 면도 10000원
ValueCountFrequency (%)
8000원 98
 
6.6%
7000원 92
 
6.2%
6000원 58
 
3.9%
10000원 39
 
2.6%
9000원 37
 
2.5%
5000원 35
 
2.4%
15000원 26
 
1.8%
12000원 24
 
1.6%
30000원 23
 
1.6%
13000원 22
 
1.5%
Other values (567) 1022
69.2%
2023-12-13T03:32:40.389870image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 2319
26.8%
1245
 
14.4%
원 715
 
8.3%
1 223
 
2.6%
5 172
 
2.0%
2 150
 
1.7%
8 128
 
1.5%
( 119
 
1.4%
) 119
 
1.4%
7 113
 
1.3%
Other values (343) 3353
38.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3654
42.2%
Decimal Number 3444
39.8%
Space Separator 1245
 
14.4%
Open Punctuation 119
 
1.4%
Close Punctuation 119
 
1.4%
Lowercase Letter 47
 
0.5%
Math Symbol 23
 
0.3%
Uppercase Letter 3
 
< 0.1%
Other Punctuation 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
원 715
 
19.6%
국 110
 
3.0%
수 71
 
1.9%
개 71
 
1.9%
밥 65
 
1.8%
장 65
 
1.8%
인 65
 
1.8%
치 64
 
1.8%
리 60
 
1.6%
찌 55
 
1.5%
Other values (320) 2313
63.3%
Decimal Number
ValueCountFrequency (%)
0 2319
67.3%
1 223
 
6.5%
5 172
 
5.0%
2 150
 
4.4%
8 128
 
3.7%
7 113
 
3.3%
3 98
 
2.8%
6 92
 
2.7%
9 82
 
2.4%
4 67
 
1.9%
Lowercase Letter
ValueCountFrequency (%)
g 44
93.6%
t 1
 
2.1%
o 1
 
2.1%
h 1
 
2.1%
Uppercase Letter
ValueCountFrequency (%)
I 1
33.3%
E 1
33.3%
C 1
33.3%
Math Symbol
ValueCountFrequency (%)
~ 13
56.5%
+ 10
43.5%
Space Separator
ValueCountFrequency (%)
1245
100.0%
Open Punctuation
ValueCountFrequency (%)
( 119
100.0%
Close Punctuation
ValueCountFrequency (%)
) 119
100.0%
Other Punctuation
ValueCountFrequency (%)
* 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 4952
57.2%
Hangul 3652
42.2%
Latin 50
 
0.6%
Han 2
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
원 715
 
19.6%
국 110
 
3.0%
수 71
 
1.9%
개 71
 
1.9%
밥 65
 
1.8%
장 65
 
1.8%
인 65
 
1.8%
치 64
 
1.8%
리 60
 
1.6%
찌 55
 
1.5%
Other values (319) 2311
63.3%
Common
ValueCountFrequency (%)
0 2319
46.8%
1245
25.1%
1 223
 
4.5%
5 172
 
3.5%
2 150
 
3.0%
8 128
 
2.6%
( 119
 
2.4%
) 119
 
2.4%
7 113
 
2.3%
3 98
 
2.0%
Other values (6) 266
 
5.4%
Latin
ValueCountFrequency (%)
g 44
88.0%
I 1
 
2.0%
E 1
 
2.0%
C 1
 
2.0%
t 1
 
2.0%
o 1
 
2.0%
h 1
 
2.0%
Han
ValueCountFrequency (%)
中 2
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 5002
57.8%
Hangul 3652
42.2%
CJK 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 2319
46.4%
1245
24.9%
1 223
 
4.5%
5 172
 
3.4%
2 150
 
3.0%
8 128
 
2.6%
( 119
 
2.4%
) 119
 
2.4%
7 113
 
2.3%
3 98
 
2.0%
Other values (13) 316
 
6.3%
Hangul
ValueCountFrequency (%)
원 715
 
19.6%
국 110
 
3.0%
수 71
 
1.9%
개 71
 
1.9%
밥 65
 
1.8%
장 65
 
1.8%
인 65
 
1.8%
치 64
 
1.8%
리 60
 
1.6%
찌 55
 
1.5%
Other values (319) 2311
63.3%
CJK
ValueCountFrequency (%)
中 2
100.0%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
Minimum2023-06-12 00:00:00
Maximum2023-06-12 00:00:00
2023-12-13T03:32:40.556007image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T03:32:40.709698image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Correlations

2023-12-13T03:32:40.810212image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
지역업종
지역1.0000.100
업종0.1001.000
2023-12-13T03:32:40.941538image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
지역업종
지역1.0000.071
업종0.0711.000
2023-12-13T03:32:41.077334image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
지역업종
지역1.0000.071
업종0.0711.000

Missing values

2023-12-13T03:32:34.360982image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T03:32:34.518655image/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.
2023-12-13T03:32:34.637865image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

Sample

지역업소명업종연락처주소영업정보품목데이터기준일자
0서귀포시영천이용원이미용064-732-7683제주특별자치도 서귀포시 516로 462(상효동)07:30~19:00(화요일 정기휴무)커트 12000원 이발 15000원2023-06-12
1서귀포시영미용실이미용064-762-8043제주특별자치도 서귀포시 이중섭로 5-7(서귀동)08:00~18:00(연중무휴)커트 10000원 파마 30000원 올림머리 30000원 특파마 50000원 남자커트 10000원2023-06-12
2서귀포시소리헤어샵이미용064-762-0806제주특별자치도 서귀포시 중앙로4번길 4(서귀동)09:00~20:00(화요일 정기휴무)일반펌 30000원 염색 30000원2023-06-12
3서귀포시윤경미용실이미용064-762-1954제주특별자치도 서귀포시 중정로 91번길 53-109:00~21:30(수요일 정기휴무)커트 10000원 펌(기본) 25000원2023-06-12
4서귀포시웰빙이용원이미용064-738-6444제주특별자치도 서귀포시 천제연로188번길 6-6(중문동)08:00~19:00(월요일 정기휴무)커트 10000~13000원 염색 13000원 면도 10000원2023-06-12
5서귀포시아름다운풍경미용실이미용064-732-8588제주특별자치도 서귀포시 흙담솔로 20(서홍동)08:00~19:00(첫째 셋째 일요일 정기휴무)커트 9000원 파마 25000원 염색 25000원2023-06-12
6제주시이애란헤어샵이미용064-724-0090제주특별자치도 제주시 고마로 58(일도이동)09:30~19:30(일요일 정기휴무)커트 7000원2023-06-12
7제주시남문이용원이미용064-757-5935제주특별자치도 제주시 남성로 125(삼도일동)08:00~19:00(일요일 정기휴무)일반컷트 10000원 학생컷트 7000원 염색 13000원 컷트+염색 23000원2023-06-12
8제주시라영헤어숍이미용064-744-3340제주특별자치도 제주시 다랑곶4길 18(노형동)09:00~20:00(첫째셋째 일요일 정기휴무)컷트 10000원 컷트(샴푸시) 13000원 염색 25000원~35000원2023-06-12
9제주시행복한머리방이미용064-758-8799제주특별자치도 제주시 서광로3길 42(용담일동)10:00~19:30(일요일 정기휴무)커트(여성) 4000원 컷트(남성) 5000원 드라이 4000원 펌(60세이상) 15000원 부터2023-06-12
지역업소명업종연락처주소영업정보품목데이터기준일자
221제주시제주마실게스트하우스숙박업064-753-0077제주특별자치도 제주시 서광로2길 11-16입실15:00 ~ 퇴실11:00남자6인실 18000원 여자6인실 18000원 더블1인 35000원 4인가족실 60000원 3인실 50000원 2인실 40000원2023-06-12
222제주시시드니호텔2숙박업064-713-6688제주특별자치도 제주시 애월읍 애월해안로 94524시간영업(연중무휴)디럭스룸 35000원 파노라마트윈 58000원 패밀리트윈 70000원2023-06-12
223서귀포시스피드세탁소세탁업064-764-4071제주특별자치도 서귀포시 남원읍 태위로 65707:30~19:30(토요일 14시까지 / 일요일 공휴일 정기휴무)양복1벌 8000원 이불(겨울용) 10000원2023-06-12
224제주시진영세탁소세탁업064-724-1629제주특별자치도 제주시 오복4길 9(이도이동)07:30~20:00(일요일 정기휴무)양복 상의 4000원 양복 하의 4000원2023-06-12
225제주시영일크리닝세탁업064-725-0536제주특별자치도 제주시 인다4길 37-7 (수에뇨빌)08:00~20:00(일요일 정기휴무)양복드라이클리닝 8000원 셔츠 4000원2023-06-12
226서귀포시화순새마을목욕탕목욕업064-794-8884제주특별자치도 서귀포시 안덕면 화순중앙로 7606:30~20:00(연중무휴)목욕(성인) 5000원 목욕(어린이) 2000원2023-06-12
227제주시JJ노블휘트니스클럽기타064-749-1515제주특별자치도 제주시 성신로1길 3406:00~23:001일 10000원 1개월 100000원 2개월 140000원 3개월 180000원2023-06-12
228제주시제주사진공방기타<NA>제주특별자치도 제주시 연신로 78 A동 지하10:00~18:00(토일 정기휴무)증명사진 15000원 여권사진 15000원 비자사진 15000원 프로필사진 50000원 4인가족촬영 150000원2023-06-12
229제주시헬로우휘트니스기타064-746-0902제주특별자치도 제주시 월랑로8길 1 (아란야플라자) 301호06:00~23:00헬스3개월 99000원 헬스6개월 180000원 헬스12개월 240000원2023-06-12
230제주시제주도 하숙집 게스트하우스기타<NA>제주특별자치도 제주시 절물3길 22-4 1층입실17:00~퇴실11:006인도미토리(여성전용) 20000원 6인도미토리(남성전용) 20000원 2인개인실 50000원 3인개인실 60000원 4인개인실 60000원2023-06-12