Overview

Dataset statistics

Number of variables5
Number of observations48
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.1 KiB
Average record size in memory43.8 B

Variable types

Numeric1
Text4

Dataset

Description관내 지정 모범음식점 정보가 있는 데이터로 업소명, 음식점 주소지, 음식점 주요메뉴, 음식점 소재지 전화번호 정보가 있는 입니다.
URLhttps://www.data.go.kr/data/3045754/fileData.do

Alerts

연번 has unique valuesUnique
업소명 has unique valuesUnique
소재지(도로명) has unique valuesUnique
소재지전화번호 has unique valuesUnique

Reproduction

Analysis started2023-12-12 09:42:21.686525
Analysis finished2023-12-12 09:42:22.331384
Duration0.64 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct48
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean24.5
Minimum1
Maximum48
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size564.0 B
2023-12-12T18:42:22.748653image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3.35
Q112.75
median24.5
Q336.25
95-th percentile45.65
Maximum48
Range47
Interquartile range (IQR)23.5

Descriptive statistics

Standard deviation14
Coefficient of variation (CV)0.57142857
Kurtosis-1.2
Mean24.5
Median Absolute Deviation (MAD)12
Skewness0
Sum1176
Variance196
MonotonicityStrictly increasing
2023-12-12T18:42:22.918535image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=48)
ValueCountFrequency (%)
1 1
 
2.1%
26 1
 
2.1%
28 1
 
2.1%
29 1
 
2.1%
30 1
 
2.1%
31 1
 
2.1%
32 1
 
2.1%
33 1
 
2.1%
34 1
 
2.1%
35 1
 
2.1%
Other values (38) 38
79.2%
ValueCountFrequency (%)
1 1
2.1%
2 1
2.1%
3 1
2.1%
4 1
2.1%
5 1
2.1%
6 1
2.1%
7 1
2.1%
8 1
2.1%
9 1
2.1%
10 1
2.1%
ValueCountFrequency (%)
48 1
2.1%
47 1
2.1%
46 1
2.1%
45 1
2.1%
44 1
2.1%
43 1
2.1%
42 1
2.1%
41 1
2.1%
40 1
2.1%
39 1
2.1%

업소명
Text

UNIQUE 

Distinct48
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size516.0 B
2023-12-12T18:42:23.163910image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length15
Median length12
Mean length5.1666667
Min length2

Characters and Unicode

Total characters248
Distinct characters131
Distinct categories4 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique48 ?
Unique (%)100.0%

Sample

1st row거창맷돌(부곡점)
2nd row경희궁
3rd row금정산성 금성
4th row금정어(漁)가
5th row김가네국수
ValueCountFrequency (%)
금정산성 2
 
3.6%
거창맷돌(부곡점 1
 
1.8%
현대가든 1
 
1.8%
서울깍두기 1
 
1.8%
서울식당 1
 
1.8%
성용장 1
 
1.8%
손씨집 1
 
1.8%
송해반점 1
 
1.8%
오륙도낙지 1
 
1.8%
우정갈비 1
 
1.8%
Other values (44) 44
80.0%
2023-12-12T18:42:23.588234image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
정 9
 
3.6%
성 8
 
3.2%
7
 
2.8%
리 6
 
2.4%
산 6
 
2.4%
금 5
 
2.0%
낙 4
 
1.6%
식 4
 
1.6%
방 4
 
1.6%
가 4
 
1.6%
Other values (121) 191
77.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 235
94.8%
Space Separator 7
 
2.8%
Close Punctuation 3
 
1.2%
Open Punctuation 3
 
1.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
정 9
 
3.8%
성 8
 
3.4%
리 6
 
2.6%
산 6
 
2.6%
금 5
 
2.1%
낙 4
 
1.7%
식 4
 
1.7%
방 4
 
1.7%
가 4
 
1.7%
지 4
 
1.7%
Other values (118) 181
77.0%
Space Separator
ValueCountFrequency (%)
7
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 234
94.4%
Common 13
 
5.2%
Han 1
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
정 9
 
3.8%
성 8
 
3.4%
리 6
 
2.6%
산 6
 
2.6%
금 5
 
2.1%
낙 4
 
1.7%
식 4
 
1.7%
방 4
 
1.7%
가 4
 
1.7%
지 4
 
1.7%
Other values (117) 180
76.9%
Common
ValueCountFrequency (%)
7
53.8%
) 3
23.1%
( 3
23.1%
Han
ValueCountFrequency (%)
漁 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 234
94.4%
ASCII 13
 
5.2%
CJK 1
 
0.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
정 9
 
3.8%
성 8
 
3.4%
리 6
 
2.6%
산 6
 
2.6%
금 5
 
2.1%
낙 4
 
1.7%
식 4
 
1.7%
방 4
 
1.7%
가 4
 
1.7%
지 4
 
1.7%
Other values (117) 180
76.9%
ASCII
ValueCountFrequency (%)
7
53.8%
) 3
23.1%
( 3
23.1%
CJK
ValueCountFrequency (%)
漁 1
100.0%

소재지(도로명)
Text

UNIQUE 

Distinct48
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size516.0 B
2023-12-12T18:42:23.856973image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length46
Median length32
Mean length24.3125
Min length21

Characters and Unicode

Total characters1167
Distinct characters65
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

Unique48 ?
Unique (%)100.0%

Sample

1st row부산광역시 금정구 부곡로 158 (부곡동)
2nd row부산광역시 금정구 금샘로 441 (구서동)
3rd row부산광역시 금정구 산성로 443 (금성동)
4th row부산광역시 금정구 두실로 17 (구서동)
5th row부산광역시 금정구 금강로 686 (남산동)
ValueCountFrequency (%)
부산광역시 48
19.7%
금정구 48
19.7%
구서동 9
 
3.7%
남산동 9
 
3.7%
금성동 8
 
3.3%
청룡동 7
 
2.9%
산성로 6
 
2.5%
금강로 5
 
2.0%
청룡로 5
 
2.0%
부곡동 5
 
2.0%
Other values (75) 94
38.5%
2023-12-12T18:42:24.613056image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
196
16.8%
금 70
 
6.0%
산 65
 
5.6%
구 58
 
5.0%
부 58
 
5.0%
정 52
 
4.5%
동 50
 
4.3%
시 48
 
4.1%
( 48
 
4.1%
역 48
 
4.1%
Other values (55) 474
40.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 706
60.5%
Space Separator 196
 
16.8%
Decimal Number 159
 
13.6%
Open Punctuation 48
 
4.1%
Close Punctuation 48
 
4.1%
Other Punctuation 7
 
0.6%
Dash Punctuation 3
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
금 70
9.9%
산 65
 
9.2%
구 58
 
8.2%
부 58
 
8.2%
정 52
 
7.4%
동 50
 
7.1%
시 48
 
6.8%
역 48
 
6.8%
광 48
 
6.8%
로 45
 
6.4%
Other values (40) 164
23.2%
Decimal Number
ValueCountFrequency (%)
1 33
20.8%
4 25
15.7%
5 19
11.9%
2 19
11.9%
6 14
8.8%
3 14
8.8%
7 12
 
7.5%
9 9
 
5.7%
0 9
 
5.7%
8 5
 
3.1%
Space Separator
ValueCountFrequency (%)
196
100.0%
Open Punctuation
ValueCountFrequency (%)
( 48
100.0%
Close Punctuation
ValueCountFrequency (%)
) 48
100.0%
Other Punctuation
ValueCountFrequency (%)
, 7
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 706
60.5%
Common 461
39.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
금 70
9.9%
산 65
 
9.2%
구 58
 
8.2%
부 58
 
8.2%
정 52
 
7.4%
동 50
 
7.1%
시 48
 
6.8%
역 48
 
6.8%
광 48
 
6.8%
로 45
 
6.4%
Other values (40) 164
23.2%
Common
ValueCountFrequency (%)
196
42.5%
( 48
 
10.4%
) 48
 
10.4%
1 33
 
7.2%
4 25
 
5.4%
5 19
 
4.1%
2 19
 
4.1%
6 14
 
3.0%
3 14
 
3.0%
7 12
 
2.6%
Other values (5) 33
 
7.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 706
60.5%
ASCII 461
39.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
196
42.5%
( 48
 
10.4%
) 48
 
10.4%
1 33
 
7.2%
4 25
 
5.4%
5 19
 
4.1%
2 19
 
4.1%
6 14
 
3.0%
3 14
 
3.0%
7 12
 
2.6%
Other values (5) 33
 
7.2%
Hangul
ValueCountFrequency (%)
금 70
9.9%
산 65
 
9.2%
구 58
 
8.2%
부 58
 
8.2%
정 52
 
7.4%
동 50
 
7.1%
시 48
 
6.8%
역 48
 
6.8%
광 48
 
6.8%
로 45
 
6.4%
Other values (40) 164
23.2%

소재지전화번호
Text

UNIQUE 

Distinct48
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size516.0 B
2023-12-12T18:42:24.968688image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.4375
Min length12

Characters and Unicode

Total characters597
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

Unique48 ?
Unique (%)100.0%

Sample

1st row051-513-3537
2nd row051-517-9292
3rd row051-517 -4847
4th row051-514-8216
5th row051-513 -8228
ValueCountFrequency (%)
051-517 6
 
8.7%
051-508 3
 
4.3%
051-582 2
 
2.9%
051-513 2
 
2.9%
051-512 2
 
2.9%
051-513-3537 1
 
1.4%
051-508-5353 1
 
1.4%
051-515-0016 1
 
1.4%
051-517-4543 1
 
1.4%
051-508-4477 1
 
1.4%
Other values (49) 49
71.0%
2023-12-12T18:42:25.413903image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 120
20.1%
- 96
16.1%
1 94
15.7%
0 85
14.2%
2 39
 
6.5%
8 32
 
5.4%
3 27
 
4.5%
7 25
 
4.2%
4 23
 
3.9%
21
 
3.5%
Other values (2) 35
 
5.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 480
80.4%
Dash Punctuation 96
 
16.1%
Space Separator 21
 
3.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 120
25.0%
1 94
19.6%
0 85
17.7%
2 39
 
8.1%
8 32
 
6.7%
3 27
 
5.6%
7 25
 
5.2%
4 23
 
4.8%
9 19
 
4.0%
6 16
 
3.3%
Dash Punctuation
ValueCountFrequency (%)
- 96
100.0%
Space Separator
ValueCountFrequency (%)
21
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 597
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 120
20.1%
- 96
16.1%
1 94
15.7%
0 85
14.2%
2 39
 
6.5%
8 32
 
5.4%
3 27
 
4.5%
7 25
 
4.2%
4 23
 
3.9%
21
 
3.5%
Other values (2) 35
 
5.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 597
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 120
20.1%
- 96
16.1%
1 94
15.7%
0 85
14.2%
2 39
 
6.5%
8 32
 
5.4%
3 27
 
4.5%
7 25
 
4.2%
4 23
 
3.9%
21
 
3.5%
Other values (2) 35
 
5.9%

주된음식
Text

Distinct25
Distinct (%)52.1%
Missing0
Missing (%)0.0%
Memory size516.0 B
2023-12-12T18:42:25.633302image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length5
Median length4
Mean length3.5625
Min length2

Characters and Unicode

Total characters171
Distinct characters55
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

Unique17 ?
Unique (%)35.4%

Sample

1st row순두부
2nd row샤브샤브
3rd row염소불고기
4th row장어구이
5th row국수
ValueCountFrequency (%)
오리고기 9
18.8%
염소불고기 5
 
10.4%
생갈비 5
 
10.4%
샤브샤브 3
 
6.2%
낙지볶음 3
 
6.2%
갈비 2
 
4.2%
설렁탕 2
 
4.2%
돼지갈비 2
 
4.2%
정식 1
 
2.1%
순두부 1
 
2.1%
Other values (15) 15
31.2%
2023-12-12T18:42:25.982653image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
고 14
 
8.2%
기 14
 
8.2%
비 11
 
6.4%
갈 10
 
5.8%
리 10
 
5.8%
오 9
 
5.3%
생 6
 
3.5%
샤 6
 
3.5%
브 6
 
3.5%
지 6
 
3.5%
Other values (45) 79
46.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 170
99.4%
Other Punctuation 1
 
0.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
고 14
 
8.2%
기 14
 
8.2%
비 11
 
6.5%
갈 10
 
5.9%
리 10
 
5.9%
오 9
 
5.3%
생 6
 
3.5%
샤 6
 
3.5%
브 6
 
3.5%
지 6
 
3.5%
Other values (44) 78
45.9%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 170
99.4%
Common 1
 
0.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
고 14
 
8.2%
기 14
 
8.2%
비 11
 
6.5%
갈 10
 
5.9%
리 10
 
5.9%
오 9
 
5.3%
생 6
 
3.5%
샤 6
 
3.5%
브 6
 
3.5%
지 6
 
3.5%
Other values (44) 78
45.9%
Common
ValueCountFrequency (%)
, 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 170
99.4%
ASCII 1
 
0.6%

Most frequent character per block

Hangul
ValueCountFrequency (%)
고 14
 
8.2%
기 14
 
8.2%
비 11
 
6.5%
갈 10
 
5.9%
리 10
 
5.9%
오 9
 
5.3%
생 6
 
3.5%
샤 6
 
3.5%
브 6
 
3.5%
지 6
 
3.5%
Other values (44) 78
45.9%
ASCII
ValueCountFrequency (%)
, 1
100.0%

Interactions

2023-12-12T18:42:22.023309image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T18:42:26.085670image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번업소명소재지(도로명)소재지전화번호주된음식
연번1.0001.0001.0001.0000.431
업소명1.0001.0001.0001.0001.000
소재지(도로명)1.0001.0001.0001.0001.000
소재지전화번호1.0001.0001.0001.0001.000
주된음식0.4311.0001.0001.0001.000

Missing values

2023-12-12T18:42:22.169932image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T18:42:22.291420image/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

연번업소명소재지(도로명)소재지전화번호주된음식
01거창맷돌(부곡점)부산광역시 금정구 부곡로 158 (부곡동)051-513-3537순두부
12경희궁부산광역시 금정구 금샘로 441 (구서동)051-517-9292샤브샤브
23금정산성 금성부산광역시 금정구 산성로 443 (금성동)051-517 -4847염소불고기
34금정어(漁)가부산광역시 금정구 두실로 17 (구서동)051-514-8216장어구이
45김가네국수부산광역시 금정구 금강로 686 (남산동)051-513 -8228국수
56낙원식당부산광역시 금정구 식물원로44번길 12 (장전동)051-515 -5789쌈밥
67남산찹쌀아구찜부산광역시 금정구 금강로 694 (남산동)051-516 -1506아구찜
78누리마을감자탕부산광역시 금정구 중앙대로1719번길 61 (부곡동)051-514 -9222감자탕
89느루부산광역시 금정구 금샘로 478 (남산동)051-512 -6460한정식
910늘아침부산광역시 금정구 부산대학로64번길 155 (장전동)051-518-9200오리고기
연번업소명소재지(도로명)소재지전화번호주된음식
3839금정산성 창녕집부산광역시 금정구 산성로 520 (금성동)051-517 -5288오리고기
3940채선당남산점부산광역시 금정구 청룡로 59 (남산동)051-583-1411샤브샤브
4041청사초롱부산광역시 금정구 산성로 447 (금성동)051-517 -8849염소불고기
4142초심한우정부산광역시 금정구 범어천로 11 (남산동)051-517 -7892생갈비
4243푸주옥 설렁탕 도가니탕부산광역시 금정구 금정로 248 (구서동)051-518 -9520설렁탕
4344풍년오리박사부산광역시 금정구 청룡로 40 (청룡동)051-508 -4642오리고기
4445하마정원부산광역시 금정구 범어사로 344 (청룡동)051-508 -9233생갈비
4546합천돼지국밥부산광역시 금정구 서금로 17 (서동)051-527 -1302돼지국밥
4647현대가든부산광역시 금정구 산성로 510 (금성동)051-517-6767염소불고기
4748황금오리부산광역시 금정구 금강로446번길 41 (구서동)051-512 -5294오리고기