Overview

Dataset statistics

Number of variables9
Number of observations27
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.1 KiB
Average record size in memory77.9 B

Variable types

Numeric1
Categorical1
Text4
Boolean2
DateTime1

Dataset

Description울산광역시 울주군 소재 착한 가격 모범업소에 대한 데이터로, 업종, 업소명, 주소, 연락처, 배달가능여부, 주차가능여부 등의 항목을 제공합니다.
URLhttps://www.data.go.kr/data/3075457/fileData.do

Alerts

데이터기준일자 has constant value ""Constant
일련번호 has unique valuesUnique
업소명 has unique valuesUnique
연락처 has unique valuesUnique

Reproduction

Analysis started2023-12-12 20:38:22.125886
Analysis finished2023-12-12 20:38:22.743240
Duration0.62 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

일련번호
Real number (ℝ)

UNIQUE 

Distinct27
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean14
Minimum1
Maximum27
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size375.0 B
2023-12-13T05:38:22.796297image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2.3
Q17.5
median14
Q320.5
95-th percentile25.7
Maximum27
Range26
Interquartile range (IQR)13

Descriptive statistics

Standard deviation7.9372539
Coefficient of variation (CV)0.56694671
Kurtosis-1.2
Mean14
Median Absolute Deviation (MAD)7
Skewness0
Sum378
Variance63
MonotonicityStrictly increasing
2023-12-13T05:38:22.917374image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
1 1
 
3.7%
2 1
 
3.7%
27 1
 
3.7%
26 1
 
3.7%
25 1
 
3.7%
24 1
 
3.7%
23 1
 
3.7%
22 1
 
3.7%
21 1
 
3.7%
20 1
 
3.7%
Other values (17) 17
63.0%
ValueCountFrequency (%)
1 1
3.7%
2 1
3.7%
3 1
3.7%
4 1
3.7%
5 1
3.7%
6 1
3.7%
7 1
3.7%
8 1
3.7%
9 1
3.7%
10 1
3.7%
ValueCountFrequency (%)
27 1
3.7%
26 1
3.7%
25 1
3.7%
24 1
3.7%
23 1
3.7%
22 1
3.7%
21 1
3.7%
20 1
3.7%
19 1
3.7%
18 1
3.7%

업종
Categorical

Distinct5
Distinct (%)18.5%
Missing0
Missing (%)0.0%
Memory size348.0 B
한식
14 
이미용업
8 
세탁업
2 
중식
2 
카페
 
1

Length

Max length4
Median length2
Mean length2.6666667
Min length2

Unique

Unique1 ?
Unique (%)3.7%

Sample

1st row세탁업
2nd row이미용업
3rd row이미용업
4th row중식
5th row이미용업

Common Values

ValueCountFrequency (%)
한식 14
51.9%
이미용업 8
29.6%
세탁업 2
 
7.4%
중식 2
 
7.4%
카페 1
 
3.7%

Length

2023-12-13T05:38:23.048236image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T05:38:23.160877image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
한식 14
51.9%
이미용업 8
29.6%
세탁업 2
 
7.4%
중식 2
 
7.4%
카페 1
 
3.7%

업소명
Text

UNIQUE 

Distinct27
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size348.0 B
2023-12-13T05:38:23.331164image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length7
Mean length5.5925926
Min length2

Characters and Unicode

Total characters151
Distinct characters93
Distinct categories2 ?
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 row온양컴퓨터세탁소
2nd row한나헤어아트
3rd row정가네 미용실
4th row짜장나라
5th row상서이용원
ValueCountFrequency (%)
온양컴퓨터세탁소 1
 
3.2%
천리향헤어방 1
 
3.2%
우와칼국수 1
 
3.2%
민아횟집 1
 
3.2%
꼬들목살전문점 1
 
3.2%
서빈 1
 
3.2%
이쁜머리헤어쇼핑 1
 
3.2%
밥이랑고기랑 1
 
3.2%
명가 1
 
3.2%
짬뽕의 1
 
3.2%
Other values (21) 21
67.7%
2023-12-13T05:38:23.668609image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
이 9
 
6.0%
식 6
 
4.0%
당 5
 
3.3%
네 4
 
2.6%
용 4
 
2.6%
4
 
2.6%
헤 3
 
2.0%
어 3
 
2.0%
아 3
 
2.0%
원 3
 
2.0%
Other values (83) 107
70.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 147
97.4%
Space Separator 4
 
2.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 9
 
6.1%
식 6
 
4.1%
당 5
 
3.4%
네 4
 
2.7%
용 4
 
2.7%
헤 3
 
2.0%
어 3
 
2.0%
아 3
 
2.0%
원 3
 
2.0%
리 3
 
2.0%
Other values (82) 104
70.7%
Space Separator
ValueCountFrequency (%)
4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 147
97.4%
Common 4
 
2.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
이 9
 
6.1%
식 6
 
4.1%
당 5
 
3.4%
네 4
 
2.7%
용 4
 
2.7%
헤 3
 
2.0%
어 3
 
2.0%
아 3
 
2.0%
원 3
 
2.0%
리 3
 
2.0%
Other values (82) 104
70.7%
Common
ValueCountFrequency (%)
4
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 147
97.4%
ASCII 4
 
2.6%

Most frequent character per block

Hangul
ValueCountFrequency (%)
이 9
 
6.1%
식 6
 
4.1%
당 5
 
3.4%
네 4
 
2.7%
용 4
 
2.7%
헤 3
 
2.0%
어 3
 
2.0%
아 3
 
2.0%
원 3
 
2.0%
리 3
 
2.0%
Other values (82) 104
70.7%
ASCII
ValueCountFrequency (%)
4
100.0%

주소
Text

Distinct26
Distinct (%)96.3%
Missing0
Missing (%)0.0%
Memory size348.0 B
2023-12-13T05:38:23.901626image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length21
Mean length21.333333
Min length20

Characters and Unicode

Total characters576
Distinct characters65
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

Unique25 ?
Unique (%)92.6%

Sample

1st row울산광역시 울주군 온양읍 남창3길 7
2nd row울산광역시 울주군 온양읍 태화7길 46
3rd row울산광역시 울주군 서생면 신리길 115
4th row울산광역시 울주군 온양읍 대운길 16
5th row울산광역시 울주군 온양읍 남창2길 36
ValueCountFrequency (%)
울산광역시 27
19.9%
울주군 27
19.9%
온양읍 8
 
5.9%
범서읍 4
 
2.9%
언양읍 4
 
2.9%
온산읍 3
 
2.2%
두동면 3
 
2.2%
남창1길 3
 
2.2%
도동신리로 2
 
1.5%
46 2
 
1.5%
Other values (48) 53
39.0%
2023-12-13T05:38:24.271250image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
111
19.3%
울 54
 
9.4%
산 30
 
5.2%
광 27
 
4.7%
역 27
 
4.7%
시 27
 
4.7%
주 27
 
4.7%
군 27
 
4.7%
길 22
 
3.8%
읍 21
 
3.6%
Other values (55) 203
35.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 389
67.5%
Space Separator 111
 
19.3%
Decimal Number 71
 
12.3%
Dash Punctuation 5
 
0.9%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
울 54
13.9%
산 30
 
7.7%
광 27
 
6.9%
역 27
 
6.9%
시 27
 
6.9%
주 27
 
6.9%
군 27
 
6.9%
길 22
 
5.7%
읍 21
 
5.4%
양 12
 
3.1%
Other values (43) 115
29.6%
Decimal Number
ValueCountFrequency (%)
1 18
25.4%
4 9
12.7%
9 9
12.7%
2 8
11.3%
6 7
 
9.9%
5 7
 
9.9%
3 6
 
8.5%
7 4
 
5.6%
8 2
 
2.8%
0 1
 
1.4%
Space Separator
ValueCountFrequency (%)
111
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 389
67.5%
Common 187
32.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
울 54
13.9%
산 30
 
7.7%
광 27
 
6.9%
역 27
 
6.9%
시 27
 
6.9%
주 27
 
6.9%
군 27
 
6.9%
길 22
 
5.7%
읍 21
 
5.4%
양 12
 
3.1%
Other values (43) 115
29.6%
Common
ValueCountFrequency (%)
111
59.4%
1 18
 
9.6%
4 9
 
4.8%
9 9
 
4.8%
2 8
 
4.3%
6 7
 
3.7%
5 7
 
3.7%
3 6
 
3.2%
- 5
 
2.7%
7 4
 
2.1%
Other values (2) 3
 
1.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 389
67.5%
ASCII 187
32.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
111
59.4%
1 18
 
9.6%
4 9
 
4.8%
9 9
 
4.8%
2 8
 
4.3%
6 7
 
3.7%
5 7
 
3.7%
3 6
 
3.2%
- 5
 
2.7%
7 4
 
2.1%
Other values (2) 3
 
1.6%
Hangul
ValueCountFrequency (%)
울 54
13.9%
산 30
 
7.7%
광 27
 
6.9%
역 27
 
6.9%
시 27
 
6.9%
주 27
 
6.9%
군 27
 
6.9%
길 22
 
5.7%
읍 21
 
5.4%
양 12
 
3.1%
Other values (43) 115
29.6%

연락처
Text

UNIQUE 

Distinct27
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size348.0 B
2023-12-13T05:38:24.481036image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters324
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 row052-238-5218
2nd row052-239-4564
3rd row052-239-1050
4th row052-227-4001
5th row052-238-3477
ValueCountFrequency (%)
052-238-5218 1
 
3.7%
052-238-8813 1
 
3.7%
052-244-3337 1
 
3.7%
052-239-1826 1
 
3.7%
052-262-8484 1
 
3.7%
052-237-4990 1
 
3.7%
052-239-4909 1
 
3.7%
052-239-1001 1
 
3.7%
052-264-9669 1
 
3.7%
052-254-2064 1
 
3.7%
Other values (17) 17
63.0%
2023-12-13T05:38:24.843641image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 67
20.7%
- 54
16.7%
0 41
12.7%
5 40
12.3%
4 29
9.0%
3 24
 
7.4%
8 18
 
5.6%
9 14
 
4.3%
6 14
 
4.3%
1 12
 
3.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 270
83.3%
Dash Punctuation 54
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 67
24.8%
0 41
15.2%
5 40
14.8%
4 29
10.7%
3 24
 
8.9%
8 18
 
6.7%
9 14
 
5.2%
6 14
 
5.2%
1 12
 
4.4%
7 11
 
4.1%
Dash Punctuation
ValueCountFrequency (%)
- 54
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 324
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 67
20.7%
- 54
16.7%
0 41
12.7%
5 40
12.3%
4 29
9.0%
3 24
 
7.4%
8 18
 
5.6%
9 14
 
4.3%
6 14
 
4.3%
1 12
 
3.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 324
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 67
20.7%
- 54
16.7%
0 41
12.7%
5 40
12.3%
4 29
9.0%
3 24
 
7.4%
8 18
 
5.6%
9 14
 
4.3%
6 14
 
4.3%
1 12
 
3.7%

영업시간
Text

Distinct15
Distinct (%)55.6%
Missing0
Missing (%)0.0%
Memory size348.0 B
2023-12-13T05:38:25.023989image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length11
Mean length11
Min length11

Characters and Unicode

Total characters297
Distinct characters9
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

Unique10 ?
Unique (%)37.0%

Sample

1st row09:00~21:00
2nd row09:00~21:00
3rd row09:00~21:00
4th row10:00~21:00
5th row09:00~21:00
ValueCountFrequency (%)
09:00~21:00 7
25.9%
10:00~21:00 3
11.1%
10:00~20:00 3
11.1%
09:00~22:00 2
 
7.4%
11:00~22:00 2
 
7.4%
10:00~22:00 1
 
3.7%
10:30~21:00 1
 
3.7%
05:30~21:00 1
 
3.7%
07:00~20:30 1
 
3.7%
10:30~21:30 1
 
3.7%
Other values (5) 5
18.5%
2023-12-13T05:38:25.288250image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 130
43.8%
: 54
18.2%
1 33
 
11.1%
2 30
 
10.1%
~ 27
 
9.1%
9 12
 
4.0%
3 7
 
2.4%
7 3
 
1.0%
5 1
 
0.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 216
72.7%
Other Punctuation 54
 
18.2%
Math Symbol 27
 
9.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 130
60.2%
1 33
 
15.3%
2 30
 
13.9%
9 12
 
5.6%
3 7
 
3.2%
7 3
 
1.4%
5 1
 
0.5%
Other Punctuation
ValueCountFrequency (%)
: 54
100.0%
Math Symbol
ValueCountFrequency (%)
~ 27
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 297
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 130
43.8%
: 54
18.2%
1 33
 
11.1%
2 30
 
10.1%
~ 27
 
9.1%
9 12
 
4.0%
3 7
 
2.4%
7 3
 
1.0%
5 1
 
0.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 297
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 130
43.8%
: 54
18.2%
1 33
 
11.1%
2 30
 
10.1%
~ 27
 
9.1%
9 12
 
4.0%
3 7
 
2.4%
7 3
 
1.0%
5 1
 
0.3%

배달가능여부
Boolean

Distinct2
Distinct (%)7.4%
Missing0
Missing (%)0.0%
Memory size159.0 B
False
21 
True
6 
ValueCountFrequency (%)
False 21
77.8%
True 6
 
22.2%
2023-12-13T05:38:25.402392image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

주차가능여부
Boolean

Distinct2
Distinct (%)7.4%
Missing0
Missing (%)0.0%
Memory size159.0 B
False
17 
True
10 
ValueCountFrequency (%)
False 17
63.0%
True 10
37.0%
2023-12-13T05:38:25.489599image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)3.7%
Missing0
Missing (%)0.0%
Memory size348.0 B
Minimum2023-09-01 00:00:00
Maximum2023-09-01 00:00:00
2023-12-13T05:38:25.576139image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:38:25.661888image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2023-12-13T05:38:22.465702image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T05:38:25.728713image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
일련번호업종업소명주소연락처영업시간배달가능여부주차가능여부
일련번호1.0000.1381.0000.9001.0000.5640.0000.112
업종0.1381.0001.0000.3741.0000.0000.4360.000
업소명1.0001.0001.0001.0001.0001.0001.0001.000
주소0.9000.3741.0001.0001.0000.9220.0000.000
연락처1.0001.0001.0001.0001.0001.0001.0001.000
영업시간0.5640.0001.0000.9221.0001.0000.8690.678
배달가능여부0.0000.4361.0000.0001.0000.8691.0000.000
주차가능여부0.1120.0001.0000.0001.0000.6780.0001.000
2023-12-13T05:38:25.838670image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
업종주차가능여부배달가능여부
업종1.0000.0000.493
주차가능여부0.0001.0000.000
배달가능여부0.4930.0001.000
2023-12-13T05:38:25.921753image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
일련번호업종배달가능여부주차가능여부
일련번호1.0000.0000.1070.000
업종0.0001.0000.4930.000
배달가능여부0.1070.4931.0000.000
주차가능여부0.0000.0000.0001.000

Missing values

2023-12-13T05:38:22.569749image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T05:38:22.696929image/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

일련번호업종업소명주소연락처영업시간배달가능여부주차가능여부데이터기준일자
01세탁업온양컴퓨터세탁소울산광역시 울주군 온양읍 남창3길 7052-238-521809:00~21:00NN2023-09-01
12이미용업한나헤어아트울산광역시 울주군 온양읍 태화7길 46052-239-456409:00~21:00NN2023-09-01
23이미용업정가네 미용실울산광역시 울주군 서생면 신리길 115052-239-105009:00~21:00NN2023-09-01
34중식짜장나라울산광역시 울주군 온양읍 대운길 16052-227-400110:00~21:00YY2023-09-01
45이미용업상서이용원울산광역시 울주군 온양읍 남창2길 36052-238-347709:00~21:00NN2023-09-01
56이미용업남일 이용원울산광역시 울주군 온양읍 남창1길 44052-238-360609:00~21:00NN2023-09-01
67이미용업중앙이용원울산광역시 울주군 온양읍 남창1길 27052-238-363209:00~21:00NN2023-09-01
78한식효정밥상울산광역시 울주군 청량읍 신덕하1길 9052-227-499510:00~20:00NY2023-09-01
89세탁업화이트세탁전문점울산광역시 울주군 범서읍 천상5길 6-2052-244-708409:00~22:00NY2023-09-01
910한식구이와아구찜울산광역시 울주군 범서읍 점촌5길 13-19052-211-804510:00~22:00NN2023-09-01
일련번호업종업소명주소연락처영업시간배달가능여부주차가능여부데이터기준일자
1718이미용업태양이발관울산광역시 울주군 두동면 계명3길 4-1052-262-726109:30~17:00NY2023-09-01
1819한식춘자네 식당울산광역시 울주군 상북면 도동신리로 4052-254-206410:00~21:00NY2023-09-01
1920중식짬뽕의 명가울산광역시 울주군 상북면 도동신리로 4052-264-966909:00~20:00YN2023-09-01
2021한식밥이랑고기랑울산광역시 울주군 온양읍 남창2길 34052-239-100110:00~20:00NY2023-09-01
2122이미용업이쁜머리헤어쇼핑울산광역시 울주군 온양읍 남창1길 46052-239-490910:00~20:00NN2023-09-01
2223카페서빈울산광역시 울주군 온산읍 용방소길 11052-237-499010:00~21:00NN2023-09-01
2324한식꼬들목살전문점울산광역시 울주군 언양읍 읍성로 70052-262-848411:00~22:00NN2023-09-01
2425한식민아횟집울산광역시 울주군 서생면 간절곶 1길 29052-239-182609:00~22:00NY2023-09-01
2526한식우와칼국수울산광역시 울주군 범서읍 점촌5길 15052-244-333711:00~20:00YN2023-09-01
2627한식숙이네분식울산광역시 울주군 범서읍 천상중앙길 59052-245-088407:30~21:00YN2023-09-01