Overview

Dataset statistics

Number of variables6
Number of observations99
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory4.9 KiB
Average record size in memory50.3 B

Variable types

Numeric1
Categorical1
Text4

Dataset

Description울산광역시 및 구군에서 관리하는 모범음식점 지정현황 정보(구군, 업소명, 도로명주소,전화번호, 주메뉴 제공)
Author울산광역시
URLhttps://www.data.go.kr/data/15083263/fileData.do

Alerts

연번 is highly overall correlated with 구군High correlation
구군 is highly overall correlated with 연번High correlation
연번 has unique valuesUnique
업소명 has unique valuesUnique
도로명주소 has unique valuesUnique
전 화 has unique valuesUnique

Reproduction

Analysis started2024-03-14 10:11:40.363769
Analysis finished2024-03-14 10:11:41.889755
Duration1.53 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct99
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean50
Minimum1
Maximum99
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1019.0 B
2024-03-14T19:11:42.119087image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile5.9
Q125.5
median50
Q374.5
95-th percentile94.1
Maximum99
Range98
Interquartile range (IQR)49

Descriptive statistics

Standard deviation28.722813
Coefficient of variation (CV)0.57445626
Kurtosis-1.2
Mean50
Median Absolute Deviation (MAD)25
Skewness0
Sum4950
Variance825
MonotonicityStrictly increasing
2024-03-14T19:11:42.563530image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
1.0%
64 1
 
1.0%
74 1
 
1.0%
73 1
 
1.0%
72 1
 
1.0%
71 1
 
1.0%
70 1
 
1.0%
69 1
 
1.0%
68 1
 
1.0%
67 1
 
1.0%
Other values (89) 89
89.9%
ValueCountFrequency (%)
1 1
1.0%
2 1
1.0%
3 1
1.0%
4 1
1.0%
5 1
1.0%
6 1
1.0%
7 1
1.0%
8 1
1.0%
9 1
1.0%
10 1
1.0%
ValueCountFrequency (%)
99 1
1.0%
98 1
1.0%
97 1
1.0%
96 1
1.0%
95 1
1.0%
94 1
1.0%
93 1
1.0%
92 1
1.0%
91 1
1.0%
90 1
1.0%

구군
Categorical

HIGH CORRELATION 

Distinct5
Distinct (%)5.1%
Missing0
Missing (%)0.0%
Memory size920.0 B
남구
24 
동구
24 
울주군
23 
북구
22 
중구
6 

Length

Max length3
Median length2
Mean length2.2323232
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
남구 24
24.2%
동구 24
24.2%
울주군 23
23.2%
북구 22
22.2%
중구 6
 
6.1%

Length

2024-03-14T19:11:42.948427image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T19:11:43.137776image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
남구 24
24.2%
동구 24
24.2%
울주군 23
23.2%
북구 22
22.2%
중구 6
 
6.1%

업소명
Text

UNIQUE 

Distinct99
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size920.0 B
2024-03-14T19:11:44.092252image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length11
Mean length5.7272727
Min length2

Characters and Unicode

Total characters567
Distinct characters200
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

Unique99 ?
Unique (%)100.0%

Sample

1st row5시5막창팩토리
2nd row강원도해장국
3rd row궁중삼계탕
4th row대어
5th row목토숯불갈비
ValueCountFrequency (%)
동해반점 2
 
1.8%
5시5막창팩토리 1
 
0.9%
대가야삼계탕 1
 
0.9%
해초 1
 
0.9%
마늘보쌈 1
 
0.9%
번지농장 1
 
0.9%
배내골참민물장어 1
 
0.9%
가고파 1
 
0.9%
대방낙지.불쭈꾸미 1
 
0.9%
압구정한우국밥명촌점 1
 
0.9%
Other values (100) 100
90.1%
2024-03-14T19:11:45.286665image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
가 12
 
2.1%
국 12
 
2.1%
12
 
2.1%
고 11
 
1.9%
수 11
 
1.9%
이 10
 
1.8%
산 10
 
1.8%
불 10
 
1.8%
해 9
 
1.6%
리 9
 
1.6%
Other values (190) 461
81.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 538
94.9%
Space Separator 12
 
2.1%
Other Punctuation 5
 
0.9%
Lowercase Letter 4
 
0.7%
Open Punctuation 3
 
0.5%
Close Punctuation 3
 
0.5%
Decimal Number 2
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
가 12
 
2.2%
국 12
 
2.2%
고 11
 
2.0%
수 11
 
2.0%
이 10
 
1.9%
산 10
 
1.9%
불 10
 
1.9%
해 9
 
1.7%
리 9
 
1.7%
미 9
 
1.7%
Other values (180) 435
80.9%
Lowercase Letter
ValueCountFrequency (%)
e 1
25.0%
f 1
25.0%
a 1
25.0%
c 1
25.0%
Other Punctuation
ValueCountFrequency (%)
& 4
80.0%
. 1
 
20.0%
Space Separator
ValueCountFrequency (%)
12
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%
Decimal Number
ValueCountFrequency (%)
5 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 538
94.9%
Common 25
 
4.4%
Latin 4
 
0.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
가 12
 
2.2%
국 12
 
2.2%
고 11
 
2.0%
수 11
 
2.0%
이 10
 
1.9%
산 10
 
1.9%
불 10
 
1.9%
해 9
 
1.7%
리 9
 
1.7%
미 9
 
1.7%
Other values (180) 435
80.9%
Common
ValueCountFrequency (%)
12
48.0%
& 4
 
16.0%
( 3
 
12.0%
) 3
 
12.0%
5 2
 
8.0%
. 1
 
4.0%
Latin
ValueCountFrequency (%)
e 1
25.0%
f 1
25.0%
a 1
25.0%
c 1
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 538
94.9%
ASCII 29
 
5.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
가 12
 
2.2%
국 12
 
2.2%
고 11
 
2.0%
수 11
 
2.0%
이 10
 
1.9%
산 10
 
1.9%
불 10
 
1.9%
해 9
 
1.7%
리 9
 
1.7%
미 9
 
1.7%
Other values (180) 435
80.9%
ASCII
ValueCountFrequency (%)
12
41.4%
& 4
 
13.8%
( 3
 
10.3%
) 3
 
10.3%
5 2
 
6.9%
. 1
 
3.4%
e 1
 
3.4%
f 1
 
3.4%
a 1
 
3.4%
c 1
 
3.4%

도로명주소
Text

UNIQUE 

Distinct99
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size920.0 B
2024-03-14T19:11:46.526752image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length41
Median length32
Mean length27.010101
Min length20

Characters and Unicode

Total characters2674
Distinct characters135
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

Unique99 ?
Unique (%)100.0%

Sample

1st row울산광역시 중구 곽남1길 26, 지상1층 (남외동)
2nd row울산광역시 중구 북부순환도로 864 (서동)
3rd row울산광역시 중구 먹자거리 6 (성남동)
4th row울산광역시 중구 함월17길 28, 1층 (성안동)
5th row울산광역시 중구 해오름8길 65 (남외동, (지상1층))
ValueCountFrequency (%)
울산광역시 99
 
17.4%
1층 33
 
5.8%
동구 24
 
4.2%
남구 24
 
4.2%
울주군 23
 
4.0%
북구 22
 
3.9%
지상1층 11
 
1.9%
일산동 11
 
1.9%
달동 9
 
1.6%
진장동 7
 
1.2%
Other values (213) 307
53.9%
2024-03-14T19:11:48.021910image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
471
 
17.6%
1 127
 
4.7%
산 126
 
4.7%
동 126
 
4.7%
울 123
 
4.6%
광 99
 
3.7%
역 99
 
3.7%
시 99
 
3.7%
( 92
 
3.4%
) 91
 
3.4%
Other values (125) 1221
45.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1529
57.2%
Space Separator 471
 
17.6%
Decimal Number 389
 
14.5%
Open Punctuation 92
 
3.4%
Close Punctuation 91
 
3.4%
Other Punctuation 82
 
3.1%
Dash Punctuation 12
 
0.4%
Math Symbol 5
 
0.2%
Uppercase Letter 3
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
산 126
 
8.2%
동 126
 
8.2%
울 123
 
8.0%
광 99
 
6.5%
역 99
 
6.5%
시 99
 
6.5%
층 76
 
5.0%
구 76
 
5.0%
로 55
 
3.6%
길 55
 
3.6%
Other values (106) 595
38.9%
Decimal Number
ValueCountFrequency (%)
1 127
32.6%
2 61
15.7%
3 42
 
10.8%
6 26
 
6.7%
0 26
 
6.7%
4 25
 
6.4%
8 24
 
6.2%
9 20
 
5.1%
5 20
 
5.1%
7 18
 
4.6%
Other Punctuation
ValueCountFrequency (%)
, 80
97.6%
. 2
 
2.4%
Uppercase Letter
ValueCountFrequency (%)
A 2
66.7%
B 1
33.3%
Space Separator
ValueCountFrequency (%)
471
100.0%
Open Punctuation
ValueCountFrequency (%)
( 92
100.0%
Close Punctuation
ValueCountFrequency (%)
) 91
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 12
100.0%
Math Symbol
ValueCountFrequency (%)
~ 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1529
57.2%
Common 1142
42.7%
Latin 3
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
산 126
 
8.2%
동 126
 
8.2%
울 123
 
8.0%
광 99
 
6.5%
역 99
 
6.5%
시 99
 
6.5%
층 76
 
5.0%
구 76
 
5.0%
로 55
 
3.6%
길 55
 
3.6%
Other values (106) 595
38.9%
Common
ValueCountFrequency (%)
471
41.2%
1 127
 
11.1%
( 92
 
8.1%
) 91
 
8.0%
, 80
 
7.0%
2 61
 
5.3%
3 42
 
3.7%
6 26
 
2.3%
0 26
 
2.3%
4 25
 
2.2%
Other values (7) 101
 
8.8%
Latin
ValueCountFrequency (%)
A 2
66.7%
B 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1529
57.2%
ASCII 1145
42.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
471
41.1%
1 127
 
11.1%
( 92
 
8.0%
) 91
 
7.9%
, 80
 
7.0%
2 61
 
5.3%
3 42
 
3.7%
6 26
 
2.3%
0 26
 
2.3%
4 25
 
2.2%
Other values (9) 104
 
9.1%
Hangul
ValueCountFrequency (%)
산 126
 
8.2%
동 126
 
8.2%
울 123
 
8.0%
광 99
 
6.5%
역 99
 
6.5%
시 99
 
6.5%
층 76
 
5.0%
구 76
 
5.0%
로 55
 
3.6%
길 55
 
3.6%
Other values (106) 595
38.9%

전 화
Text

UNIQUE 

Distinct99
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size920.0 B
2024-03-14T19:11:48.951955image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length12
Mean length12.020202
Min length12

Characters and Unicode

Total characters1190
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

Unique99 ?
Unique (%)100.0%

Sample

1st row052-297-8288
2nd row052-294-9400
3rd row052-244-1156
4th row052-243-7886
5th row052-298-9592
ValueCountFrequency (%)
052-297-8288 1
 
1.0%
052-232-3318 1
 
1.0%
052-289-5245 1
 
1.0%
052-288-7774 1
 
1.0%
052-286-1912 1
 
1.0%
052-283-0029 1
 
1.0%
052-289-9252 1
 
1.0%
052-289-8088 1
 
1.0%
052-288-5800 1
 
1.0%
052-286-4696 1
 
1.0%
Other values (89) 89
89.9%
2024-03-14T19:11:50.103318image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 265
22.3%
- 198
16.6%
5 178
15.0%
0 161
13.5%
8 73
 
6.1%
6 69
 
5.8%
3 56
 
4.7%
9 55
 
4.6%
1 48
 
4.0%
4 44
 
3.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 992
83.4%
Dash Punctuation 198
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 265
26.7%
5 178
17.9%
0 161
16.2%
8 73
 
7.4%
6 69
 
7.0%
3 56
 
5.6%
9 55
 
5.5%
1 48
 
4.8%
4 44
 
4.4%
7 43
 
4.3%
Dash Punctuation
ValueCountFrequency (%)
- 198
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1190
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 265
22.3%
- 198
16.6%
5 178
15.0%
0 161
13.5%
8 73
 
6.1%
6 69
 
5.8%
3 56
 
4.7%
9 55
 
4.6%
1 48
 
4.0%
4 44
 
3.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1190
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 265
22.3%
- 198
16.6%
5 178
15.0%
0 161
13.5%
8 73
 
6.1%
6 69
 
5.8%
3 56
 
4.7%
9 55
 
4.6%
1 48
 
4.0%
4 44
 
3.7%

주메뉴
Text

Distinct82
Distinct (%)82.8%
Missing0
Missing (%)0.0%
Memory size920.0 B
2024-03-14T19:11:50.922496image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length16
Mean length7.9393939
Min length2

Characters and Unicode

Total characters786
Distinct characters145
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

Unique73 ?
Unique (%)73.7%

Sample

1st row막창
2nd row황태해장국, 생태찌개
3rd row삼계탕,전복삼계탕,전복죽
4th row생선회
5th row삼겹살, 쌈밥
ValueCountFrequency (%)
등 26
 
13.6%
한우불고기 7
 
3.7%
오리불고기 7
 
3.7%
칼국수 6
 
3.1%
생선회 6
 
3.1%
탕수육 4
 
2.1%
보쌈 3
 
1.6%
삼겹살 3
 
1.6%
만두 3
 
1.6%
회 3
 
1.6%
Other values (101) 123
64.4%
2024-03-14T19:11:51.972053image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
97
 
12.3%
, 72
 
9.2%
고 30
 
3.8%
기 29
 
3.7%
등 27
 
3.4%
불 24
 
3.1%
탕 20
 
2.5%
국 19
 
2.4%
리 17
 
2.2%
회 17
 
2.2%
Other values (135) 434
55.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 613
78.0%
Space Separator 97
 
12.3%
Other Punctuation 72
 
9.2%
Close Punctuation 2
 
0.3%
Open Punctuation 2
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
고 30
 
4.9%
기 29
 
4.7%
등 27
 
4.4%
불 24
 
3.9%
탕 20
 
3.3%
국 19
 
3.1%
리 17
 
2.8%
회 17
 
2.8%
밥 16
 
2.6%
구 16
 
2.6%
Other values (131) 398
64.9%
Space Separator
ValueCountFrequency (%)
97
100.0%
Other Punctuation
ValueCountFrequency (%)
, 72
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 613
78.0%
Common 173
 
22.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
고 30
 
4.9%
기 29
 
4.7%
등 27
 
4.4%
불 24
 
3.9%
탕 20
 
3.3%
국 19
 
3.1%
리 17
 
2.8%
회 17
 
2.8%
밥 16
 
2.6%
구 16
 
2.6%
Other values (131) 398
64.9%
Common
ValueCountFrequency (%)
97
56.1%
, 72
41.6%
) 2
 
1.2%
( 2
 
1.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 613
78.0%
ASCII 173
 
22.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
97
56.1%
, 72
41.6%
) 2
 
1.2%
( 2
 
1.2%
Hangul
ValueCountFrequency (%)
고 30
 
4.9%
기 29
 
4.7%
등 27
 
4.4%
불 24
 
3.9%
탕 20
 
3.3%
국 19
 
3.1%
리 17
 
2.8%
회 17
 
2.8%
밥 16
 
2.6%
구 16
 
2.6%
Other values (131) 398
64.9%

Interactions

2024-03-14T19:11:41.074080image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-14T19:11:52.131121image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번구군업소명도로명주소전 화주메뉴
연번1.0000.9911.0001.0001.0000.866
구군0.9911.0001.0001.0001.0000.991
업소명1.0001.0001.0001.0001.0001.000
도로명주소1.0001.0001.0001.0001.0001.000
전 화1.0001.0001.0001.0001.0001.000
주메뉴0.8660.9911.0001.0001.0001.000
2024-03-14T19:11:52.298164image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번구군
연번1.0000.847
구군0.8471.000

Missing values

2024-03-14T19:11:41.399810image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-14T19:11:41.755063image/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

연번구군업소명도로명주소전 화주메뉴
01중구5시5막창팩토리울산광역시 중구 곽남1길 26, 지상1층 (남외동)052-297-8288막창
12중구강원도해장국울산광역시 중구 북부순환도로 864 (서동)052-294-9400황태해장국, 생태찌개
23중구궁중삼계탕울산광역시 중구 먹자거리 6 (성남동)052-244-1156삼계탕,전복삼계탕,전복죽
34중구대어울산광역시 중구 함월17길 28, 1층 (성안동)052-243-7886생선회
45중구목토숯불갈비울산광역시 중구 해오름8길 65 (남외동, (지상1층))052-298-9592삼겹살, 쌈밥
56중구물참면옥울산광역시 중구 함월17길 26 (성안동)052-243-3390냉면
67남구(유)아웃백스테이크하우스코리아삼산점울산광역시 남구 삼산로 231, 울산 센트럴 자이 301~304호 (달동)052-256-1491스테이크
78남구가무댕댕울산광역시 남구 대학로94번길 11 (무거동)052-224-3331돈까스
89남구고반식당 울산삼산점울산광역시 남구 달삼로 41, 1층 (달동)052-269-4555삼겹살
910남구고빈정 물회울산광역시 남구 왕생로100번길 9 (달동,번지(지상1층))052-258-0807물회, 생선회
연번구군업소명도로명주소전 화주메뉴
8990울주군보광보리밥칼국수울산광역시 울주군 서생면 해맞이로 787, A동 1층052-239-5562보리밥, 칼국수
9091울주군공원불고기울산광역시 울주군 언양읍 헌양길 32052-262-4884한우불고기
9192울주군언양기와집불고기울산광역시 울주군 언양읍 헌양길 86, A.B동052-262-0421한우불고기
9293울주군대운터울산광역시 울주군 온산읍 덕동1길 5052-238-5289오리불고기
9394울주군텃밭울산광역시 울주군 온양읍 동상로 241 (1층)052-276-9411정식
9495울주군발리동천울산광역시 울주군 온양읍 선양골길 105-16, 2동 1.2층052-237-1634한정식
9596울주군대대 찹쌀아구찜울산광역시 울주군 웅촌면 상대길 52-15052-247-7799아구찜
9697울주군원터가든울산광역시 울주군 웅촌면 웅촌로 642-9, 1층052-225-3277오리탕
9798울주군정수장추어탕울산광역시 울주군 청량읍 대복동천로 790-2052-268-2622추어탕
9899울주군진부령황태울산광역시 울주군 청량읍 상보두현길 53-1, 1층052-224-7127황태정식