Overview

Dataset statistics

Number of variables5
Number of observations101
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory4.1 KiB
Average record size in memory41.3 B

Variable types

Text4
Categorical1

Dataset

Description경상남도 양산시 모범음식점현황으로 업소명, 업수명 소재지, 업종, 주취급음식 등 양산의 모범음식점을 확인할 수 있습니다.
Author경상남도 양산시
URLhttps://bigdata.gyeongnam.go.kr/index.gn?menuCd=DOM_000000114002001000&publicdatapk=3040405

Alerts

업태 is highly imbalanced (70.9%)Imbalance

Reproduction

Analysis started2024-04-18 06:05:23.661742
Analysis finished2024-04-18 06:05:26.783228
Duration3.12 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

업소명
Text

Distinct99
Distinct (%)98.0%
Missing0
Missing (%)0.0%
Memory size940.0 B
2024-04-18T15:05:26.962581image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length11
Mean length5.4455446
Min length2

Characters and Unicode

Total characters550
Distinct characters211
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique97 ?
Unique (%)96.0%

Sample

1st row장수녹각삼계탕
2nd row갈비의 신
3rd row양산회센타
4th row전주콩나물국밥
5th row장수녹각삼계탕
ValueCountFrequency (%)
장수녹각삼계탕 2
 
1.9%
진송추어탕 2
 
1.9%
신라해장국 2
 
1.9%
갈비익는마을 1
 
0.9%
느티나무집 1
 
0.9%
개성녹각삼계탕 1
 
0.9%
송강민물매운탕 1
 
0.9%
한우한마리 1
 
0.9%
형산강회센타 1
 
0.9%
무한장소 1
 
0.9%
Other values (95) 95
88.0%
2024-04-18T15:05:27.341724image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
산 19
 
3.5%
장 11
 
2.0%
가 11
 
2.0%
탕 10
 
1.8%
한 10
 
1.8%
대 9
 
1.6%
정 9
 
1.6%
삼 8
 
1.5%
국 8
 
1.5%
식 8
 
1.5%
Other values (201) 447
81.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 537
97.6%
Space Separator 7
 
1.3%
Close Punctuation 2
 
0.4%
Open Punctuation 2
 
0.4%
Other Punctuation 1
 
0.2%
Other Symbol 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
산 19
 
3.5%
장 11
 
2.0%
가 11
 
2.0%
탕 10
 
1.9%
한 10
 
1.9%
대 9
 
1.7%
정 9
 
1.7%
삼 8
 
1.5%
국 8
 
1.5%
식 8
 
1.5%
Other values (196) 434
80.8%
Space Separator
ValueCountFrequency (%)
7
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Other Punctuation
ValueCountFrequency (%)
& 1
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 538
97.8%
Common 12
 
2.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
산 19
 
3.5%
장 11
 
2.0%
가 11
 
2.0%
탕 10
 
1.9%
한 10
 
1.9%
대 9
 
1.7%
정 9
 
1.7%
삼 8
 
1.5%
국 8
 
1.5%
식 8
 
1.5%
Other values (197) 435
80.9%
Common
ValueCountFrequency (%)
7
58.3%
) 2
 
16.7%
( 2
 
16.7%
& 1
 
8.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 537
97.6%
ASCII 12
 
2.2%
None 1
 
0.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
산 19
 
3.5%
장 11
 
2.0%
가 11
 
2.0%
탕 10
 
1.9%
한 10
 
1.9%
대 9
 
1.7%
정 9
 
1.7%
삼 8
 
1.5%
국 8
 
1.5%
식 8
 
1.5%
Other values (196) 434
80.8%
ASCII
ValueCountFrequency (%)
7
58.3%
) 2
 
16.7%
( 2
 
16.7%
& 1
 
8.3%
None
ValueCountFrequency (%)
㈜ 1
100.0%

전화번호
Text

Distinct100
Distinct (%)99.0%
Missing0
Missing (%)0.0%
Memory size940.0 B
2024-04-18T15:05:27.564617image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters1212
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 (%)98.0%

Sample

1st row055-387-2800
2nd row055-387-9997
3rd row055-372-3133
4th row055-388-6280
5th row055-364-8833
ValueCountFrequency (%)
055-363-0607 2
 
2.0%
055-386-8735 1
 
1.0%
055-365-1497 1
 
1.0%
055-382-3135 1
 
1.0%
055-389-1995 1
 
1.0%
055-365-0093 1
 
1.0%
055-366-4947 1
 
1.0%
055-389-2275 1
 
1.0%
055-385-3800 1
 
1.0%
055-365-9825 1
 
1.0%
Other values (90) 90
89.1%
2024-04-18T15:05:27.909155image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 275
22.7%
- 202
16.7%
3 163
13.4%
0 155
12.8%
8 93
 
7.7%
6 71
 
5.9%
7 67
 
5.5%
2 65
 
5.4%
9 45
 
3.7%
4 41
 
3.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1010
83.3%
Dash Punctuation 202
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 275
27.2%
3 163
16.1%
0 155
15.3%
8 93
 
9.2%
6 71
 
7.0%
7 67
 
6.6%
2 65
 
6.4%
9 45
 
4.5%
4 41
 
4.1%
1 35
 
3.5%
Dash Punctuation
ValueCountFrequency (%)
- 202
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1212
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 275
22.7%
- 202
16.7%
3 163
13.4%
0 155
12.8%
8 93
 
7.7%
6 71
 
5.9%
7 67
 
5.5%
2 65
 
5.4%
9 45
 
3.7%
4 41
 
3.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1212
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 275
22.7%
- 202
16.7%
3 163
13.4%
0 155
12.8%
8 93
 
7.7%
6 71
 
5.9%
7 67
 
5.5%
2 65
 
5.4%
9 45
 
3.7%
4 41
 
3.4%

업소 소재지
Text

Distinct100
Distinct (%)99.0%
Missing0
Missing (%)0.0%
Memory size940.0 B
2024-04-18T15:05:28.193805image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length28
Median length26
Mean length21.881188
Min length18

Characters and Unicode

Total characters2210
Distinct characters108
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique99 ?
Unique (%)98.0%

Sample

1st row경상남도 양산시 물금읍 황산로 669
2nd row경상남도 양산시 고향의봄로 70(북정동)
3rd row경상남도 양산시 남부로 12(남부동)
4th row경상남도 양산시 덕계2길11-8(양산시 덕계동)
5th row경상남도 양산시 덕계3길 8(양산시 덕계동)
ValueCountFrequency (%)
경상남도 101
21.8%
양산시 101
21.8%
하북면 24
 
5.2%
물금읍 11
 
2.4%
상북면 9
 
1.9%
1층 5
 
1.1%
중앙로 4
 
0.9%
덕계동 4
 
0.9%
북정로 3
 
0.6%
12 3
 
0.6%
Other values (175) 199
42.9%
2024-04-18T15:05:28.549770image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
363
 
16.4%
산 116
 
5.2%
양 114
 
5.2%
남 112
 
5.1%
상 110
 
5.0%
도 105
 
4.8%
시 105
 
4.8%
경 102
 
4.6%
1 71
 
3.2%
북 70
 
3.2%
Other values (98) 942
42.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1387
62.8%
Space Separator 363
 
16.4%
Decimal Number 316
 
14.3%
Open Punctuation 53
 
2.4%
Close Punctuation 53
 
2.4%
Dash Punctuation 25
 
1.1%
Other Punctuation 13
 
0.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
산 116
 
8.4%
양 114
 
8.2%
남 112
 
8.1%
상 110
 
7.9%
도 105
 
7.6%
시 105
 
7.6%
경 102
 
7.4%
북 70
 
5.0%
동 65
 
4.7%
길 53
 
3.8%
Other values (83) 435
31.4%
Decimal Number
ValueCountFrequency (%)
1 71
22.5%
2 50
15.8%
3 44
13.9%
5 29
9.2%
0 23
 
7.3%
4 23
 
7.3%
8 22
 
7.0%
6 20
 
6.3%
7 19
 
6.0%
9 15
 
4.7%
Space Separator
ValueCountFrequency (%)
363
100.0%
Open Punctuation
ValueCountFrequency (%)
( 53
100.0%
Close Punctuation
ValueCountFrequency (%)
) 53
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 25
100.0%
Other Punctuation
ValueCountFrequency (%)
, 13
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1387
62.8%
Common 823
37.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
산 116
 
8.4%
양 114
 
8.2%
남 112
 
8.1%
상 110
 
7.9%
도 105
 
7.6%
시 105
 
7.6%
경 102
 
7.4%
북 70
 
5.0%
동 65
 
4.7%
길 53
 
3.8%
Other values (83) 435
31.4%
Common
ValueCountFrequency (%)
363
44.1%
1 71
 
8.6%
( 53
 
6.4%
) 53
 
6.4%
2 50
 
6.1%
3 44
 
5.3%
5 29
 
3.5%
- 25
 
3.0%
0 23
 
2.8%
4 23
 
2.8%
Other values (5) 89
 
10.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1387
62.8%
ASCII 823
37.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
363
44.1%
1 71
 
8.6%
( 53
 
6.4%
) 53
 
6.4%
2 50
 
6.1%
3 44
 
5.3%
5 29
 
3.5%
- 25
 
3.0%
0 23
 
2.8%
4 23
 
2.8%
Other values (5) 89
 
10.8%
Hangul
ValueCountFrequency (%)
산 116
 
8.4%
양 114
 
8.2%
남 112
 
8.1%
상 110
 
7.9%
도 105
 
7.6%
시 105
 
7.6%
경 102
 
7.4%
북 70
 
5.0%
동 65
 
4.7%
길 53
 
3.8%
Other values (83) 435
31.4%

업태
Categorical

IMBALANCE 

Distinct7
Distinct (%)6.9%
Missing0
Missing (%)0.0%
Memory size940.0 B
한식
88 
일식
 
7
중식
 
2
양식
 
1
한식&일식
 
1
Other values (2)
 
2

Length

Max length5
Median length2
Mean length2.039604
Min length2

Unique

Unique4 ?
Unique (%)4.0%

Sample

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

Common Values

ValueCountFrequency (%)
한식 88
87.1%
일식 7
 
6.9%
중식 2
 
2.0%
양식 1
 
1.0%
한식&일식 1
 
1.0%
한정식 1
 
1.0%
기타 1
 
1.0%

Length

2024-04-18T15:05:28.689770image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T15:05:28.795830image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
한식 88
87.1%
일식 7
 
6.9%
중식 2
 
2.0%
양식 1
 
1.0%
한식&일식 1
 
1.0%
한정식 1
 
1.0%
기타 1
 
1.0%

주취급음식
Text

Distinct59
Distinct (%)58.4%
Missing0
Missing (%)0.0%
Memory size940.0 B
2024-04-18T15:05:29.086073image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length5
Mean length3.6039604
Min length2

Characters and Unicode

Total characters364
Distinct characters99
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

Unique41 ?
Unique (%)40.6%

Sample

1st row삼계탕
2nd row숯불갈비
3rd row생선회
4th row콩나물국밥
5th row삼계탕
ValueCountFrequency (%)
숯불갈비 8
 
7.9%
오리고기 6
 
5.9%
생선회 5
 
5.0%
삼계탕 4
 
4.0%
삼겹살 4
 
4.0%
오리불고기 4
 
4.0%
해장국 3
 
3.0%
추어탕 3
 
3.0%
소고기구이 3
 
3.0%
회초밥 3
 
3.0%
Other values (49) 58
57.4%
2024-04-18T15:05:29.439885image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
탕 18
 
4.9%
리 18
 
4.9%
기 17
 
4.7%
비 16
 
4.4%
갈 15
 
4.1%
고 15
 
4.1%
불 13
 
3.6%
오 12
 
3.3%
밥 10
 
2.7%
삼 9
 
2.5%
Other values (89) 221
60.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 363
99.7%
Other Punctuation 1
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
탕 18
 
5.0%
리 18
 
5.0%
기 17
 
4.7%
비 16
 
4.4%
갈 15
 
4.1%
고 15
 
4.1%
불 13
 
3.6%
오 12
 
3.3%
밥 10
 
2.8%
삼 9
 
2.5%
Other values (88) 220
60.6%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 363
99.7%
Common 1
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
탕 18
 
5.0%
리 18
 
5.0%
기 17
 
4.7%
비 16
 
4.4%
갈 15
 
4.1%
고 15
 
4.1%
불 13
 
3.6%
오 12
 
3.3%
밥 10
 
2.8%
삼 9
 
2.5%
Other values (88) 220
60.6%
Common
ValueCountFrequency (%)
, 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 363
99.7%
ASCII 1
 
0.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
탕 18
 
5.0%
리 18
 
5.0%
기 17
 
4.7%
비 16
 
4.4%
갈 15
 
4.1%
고 15
 
4.1%
불 13
 
3.6%
오 12
 
3.3%
밥 10
 
2.8%
삼 9
 
2.5%
Other values (88) 220
60.6%
ASCII
ValueCountFrequency (%)
, 1
100.0%

Correlations

2024-04-18T15:05:29.535247image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
업소명전화번호업소 소재지업태주취급음식
업소명1.0000.9970.9971.0001.000
전화번호0.9971.0000.9991.0000.994
업소 소재지0.9970.9991.0000.8860.995
업태1.0001.0000.8861.0000.998
주취급음식1.0000.9940.9950.9981.000

Missing values

2024-04-18T15:05:26.747302image/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

업소명전화번호업소 소재지업태주취급음식
0장수녹각삼계탕055-387-2800경상남도 양산시 물금읍 황산로 669한식삼계탕
1갈비의 신055-387-9997경상남도 양산시 고향의봄로 70(북정동)한식숯불갈비
2양산회센타055-372-3133경상남도 양산시 남부로 12(남부동)일식생선회
3전주콩나물국밥055-388-6280경상남도 양산시 덕계2길11-8(양산시 덕계동)한식콩나물국밥
4장수녹각삼계탕055-364-8833경상남도 양산시 덕계3길 8(양산시 덕계동)한식삼계탕
5윤동균한방쑥면본점055-366-7599경상남도 양산시 덕계5길 8(양산시 덕계동)한식한방쑥면
6해진정055-367-5512경상남도 양산시 덕계6길 6(양산시 덕계동)한식복요리
7진송추어탕 덕계점055-365-0022경상남도 양산시 덕계로 76, 2동 2층(덕계동)한식추어탕
8에이원칸트리클럽㈜클럽하우스055-371-3582경상남도 양산시 덕명로 190(매곡동)양식스테이크
9종정헌055-366-3373경상남도 양산시 동면 석산3길 12한식영양돌솥밥
업소명전화번호업소 소재지업태주취급음식
91우정공원055-375-6626경상남도 양산시 하북면 양산대로 2025-43한식장어구이
92코스닭055-384-7100경상남도 양산시 하북면 월평로 49한식닭요리
93대장금055-383-8488경상남도 양산시 하북면 월평로 57, 1층한식정식
94라온 소반055-382-7072경상남도 양산시 하북면 지산로 25한식숯불갈비
95감포숯불055-383-5215경상남도 양산시 하북면 초산3길 33-9한식숯불갈비
96한솔매운탕055-384-0507경상남도 양산시 하북면 초산4길 27한식매운탕
97고향의봄055-383-3215경상남도 양산시 하북면 초산6길 15한식숯불갈비
98대동강055-383-6256경상남도 양산시 하북면 통도4길 9한식숯불갈비
99갈비익는마을055-381-5555경상남도 양산시 하북면 통도사로 52한식갈비
100삼부자마늘보쌈족발055-382-9358경상남도 양산시 하북면 통도사로 58한식족발