Overview

Dataset statistics

Number of variables5
Number of observations71
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory3.0 KiB
Average record size in memory42.9 B

Variable types

Numeric1
Text3
Categorical1

Dataset

Description인천광역시 부평구 모범음식점 현황 데이터는 모범음식점 업소명, 소재지(도로명), 업태, 전화번호에 대한 데이터를 제공합니다
Author인천광역시 부평구
URLhttps://data.incheon.go.kr/findData/publicDataDetail?dataId=15103776&srcSe=7661IVAWM27C61E190

Alerts

업태명 is highly imbalanced (68.0%)Imbalance
연번 has unique valuesUnique
업소명 has unique valuesUnique
소재지(도로명) has unique valuesUnique
전화번호 has unique valuesUnique

Reproduction

Analysis started2024-01-28 14:32:27.631991
Analysis finished2024-01-28 14:32:28.146421
Duration0.51 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct71
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean36
Minimum1
Maximum71
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size771.0 B
2024-01-28T23:32:28.206499image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile4.5
Q118.5
median36
Q353.5
95-th percentile67.5
Maximum71
Range70
Interquartile range (IQR)35

Descriptive statistics

Standard deviation20.639767
Coefficient of variation (CV)0.57332687
Kurtosis-1.2
Mean36
Median Absolute Deviation (MAD)18
Skewness0
Sum2556
Variance426
MonotonicityStrictly increasing
2024-01-28T23:32:28.337945image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
1.4%
2 1
 
1.4%
53 1
 
1.4%
52 1
 
1.4%
51 1
 
1.4%
50 1
 
1.4%
49 1
 
1.4%
48 1
 
1.4%
47 1
 
1.4%
46 1
 
1.4%
Other values (61) 61
85.9%
ValueCountFrequency (%)
1 1
1.4%
2 1
1.4%
3 1
1.4%
4 1
1.4%
5 1
1.4%
6 1
1.4%
7 1
1.4%
8 1
1.4%
9 1
1.4%
10 1
1.4%
ValueCountFrequency (%)
71 1
1.4%
70 1
1.4%
69 1
1.4%
68 1
1.4%
67 1
1.4%
66 1
1.4%
65 1
1.4%
64 1
1.4%
63 1
1.4%
62 1
1.4%

업소명
Text

UNIQUE 

Distinct71
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size700.0 B
2024-01-28T23:32:28.578226image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length11
Mean length6.6338028
Min length2

Characters and Unicode

Total characters471
Distinct characters202
Distinct categories6 ?
Distinct scripts4 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique71 ?
Unique (%)100.0%

Sample

1st row거궁부평점
2nd row경복궁부평점(주)엔타스
3rd row경복궁삼계탕
4th row고향밥상
5th row그램그램&큰맘할매순대국
ValueCountFrequency (%)
거궁부평점 1
 
1.3%
부평시장역점 1
 
1.3%
원적산소고집 1
 
1.3%
원숯불한우촌 1
 
1.3%
우정숯불갈비 1
 
1.3%
우리밀 1
 
1.3%
용마루집 1
 
1.3%
왕소 1
 
1.3%
인브스키친 1
 
1.3%
일공공샤브 1
 
1.3%
Other values (66) 66
86.8%
2024-01-28T23:32:28.928488image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
부 17
 
3.6%
점 12
 
2.5%
이 11
 
2.3%
촌 10
 
2.1%
평 9
 
1.9%
탕 9
 
1.9%
소 8
 
1.7%
산 8
 
1.7%
삼 8
 
1.7%
) 7
 
1.5%
Other values (192) 372
79.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 449
95.3%
Close Punctuation 7
 
1.5%
Open Punctuation 7
 
1.5%
Space Separator 5
 
1.1%
Uppercase Letter 2
 
0.4%
Other Punctuation 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
부 17
 
3.8%
점 12
 
2.7%
이 11
 
2.4%
촌 10
 
2.2%
평 9
 
2.0%
탕 9
 
2.0%
소 8
 
1.8%
산 8
 
1.8%
삼 8
 
1.8%
한 7
 
1.6%
Other values (186) 350
78.0%
Uppercase Letter
ValueCountFrequency (%)
A 1
50.0%
L 1
50.0%
Close Punctuation
ValueCountFrequency (%)
) 7
100.0%
Open Punctuation
ValueCountFrequency (%)
( 7
100.0%
Space Separator
ValueCountFrequency (%)
5
100.0%
Other Punctuation
ValueCountFrequency (%)
& 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 440
93.4%
Common 20
 
4.2%
Han 9
 
1.9%
Latin 2
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
부 17
 
3.9%
점 12
 
2.7%
이 11
 
2.5%
촌 10
 
2.3%
평 9
 
2.0%
탕 9
 
2.0%
소 8
 
1.8%
산 8
 
1.8%
삼 8
 
1.8%
한 7
 
1.6%
Other values (178) 341
77.5%
Han
ValueCountFrequency (%)
家 2
22.2%
黃 1
11.1%
福 1
11.1%
肉 1
11.1%
和 1
11.1%
李 1
11.1%
盧 1
11.1%
本 1
11.1%
Common
ValueCountFrequency (%)
) 7
35.0%
( 7
35.0%
5
25.0%
& 1
 
5.0%
Latin
ValueCountFrequency (%)
A 1
50.0%
L 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 440
93.4%
ASCII 22
 
4.7%
CJK 8
 
1.7%
CJK Compat Ideographs 1
 
0.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
부 17
 
3.9%
점 12
 
2.7%
이 11
 
2.5%
촌 10
 
2.3%
평 9
 
2.0%
탕 9
 
2.0%
소 8
 
1.8%
산 8
 
1.8%
삼 8
 
1.8%
한 7
 
1.6%
Other values (178) 341
77.5%
ASCII
ValueCountFrequency (%)
) 7
31.8%
( 7
31.8%
5
22.7%
A 1
 
4.5%
L 1
 
4.5%
& 1
 
4.5%
CJK
ValueCountFrequency (%)
家 2
25.0%
黃 1
12.5%
福 1
12.5%
肉 1
12.5%
和 1
12.5%
盧 1
12.5%
本 1
12.5%
CJK Compat Ideographs
ValueCountFrequency (%)
李 1
100.0%

소재지(도로명)
Text

UNIQUE 

Distinct71
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size700.0 B
2024-01-28T23:32:29.170402image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length56
Median length42
Mean length31.169014
Min length21

Characters and Unicode

Total characters2213
Distinct characters119
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique71 ?
Unique (%)100.0%

Sample

1st row인천광역시 부평구 아트센터로 166 (십정동, 부평아트센터 3층 일부)
2nd row인천광역시 부평구 길주로 643, 명윤빌딩 5층 (삼산동)
3rd row인천광역시 부평구 평천로 553, 1층 (삼산동)
4th row인천광역시 부평구 경원대로1367번길 26-5 (부평동)
5th row인천광역시 부평구 부흥로 371 (부평동)
ValueCountFrequency (%)
인천광역시 71
 
16.6%
부평구 71
 
16.6%
부평동 23
 
5.4%
1층 16
 
3.7%
산곡동 8
 
1.9%
2층 8
 
1.9%
십정동 7
 
1.6%
부흥로 6
 
1.4%
마장로 5
 
1.2%
부평대로 4
 
0.9%
Other values (159) 209
48.8%
2024-01-28T23:32:29.543235image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
358
 
16.2%
부 133
 
6.0%
평 116
 
5.2%
1 87
 
3.9%
천 85
 
3.8%
동 83
 
3.8%
) 75
 
3.4%
( 75
 
3.4%
시 74
 
3.3%
인 72
 
3.3%
Other values (109) 1055
47.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1276
57.7%
Space Separator 358
 
16.2%
Decimal Number 344
 
15.5%
Close Punctuation 75
 
3.4%
Open Punctuation 75
 
3.4%
Other Punctuation 67
 
3.0%
Dash Punctuation 14
 
0.6%
Uppercase Letter 4
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
부 133
 
10.4%
평 116
 
9.1%
천 85
 
6.7%
동 83
 
6.5%
시 74
 
5.8%
인 72
 
5.6%
역 71
 
5.6%
로 71
 
5.6%
구 71
 
5.6%
광 71
 
5.6%
Other values (92) 429
33.6%
Decimal Number
ValueCountFrequency (%)
1 87
25.3%
2 65
18.9%
4 38
11.0%
3 35
10.2%
6 27
 
7.8%
0 23
 
6.7%
7 23
 
6.7%
5 21
 
6.1%
8 13
 
3.8%
9 12
 
3.5%
Uppercase Letter
ValueCountFrequency (%)
B 3
75.0%
A 1
 
25.0%
Space Separator
ValueCountFrequency (%)
358
100.0%
Close Punctuation
ValueCountFrequency (%)
) 75
100.0%
Open Punctuation
ValueCountFrequency (%)
( 75
100.0%
Other Punctuation
ValueCountFrequency (%)
, 67
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 14
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1276
57.7%
Common 933
42.2%
Latin 4
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
부 133
 
10.4%
평 116
 
9.1%
천 85
 
6.7%
동 83
 
6.5%
시 74
 
5.8%
인 72
 
5.6%
역 71
 
5.6%
로 71
 
5.6%
구 71
 
5.6%
광 71
 
5.6%
Other values (92) 429
33.6%
Common
ValueCountFrequency (%)
358
38.4%
1 87
 
9.3%
) 75
 
8.0%
( 75
 
8.0%
, 67
 
7.2%
2 65
 
7.0%
4 38
 
4.1%
3 35
 
3.8%
6 27
 
2.9%
0 23
 
2.5%
Other values (5) 83
 
8.9%
Latin
ValueCountFrequency (%)
B 3
75.0%
A 1
 
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1276
57.7%
ASCII 937
42.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
358
38.2%
1 87
 
9.3%
) 75
 
8.0%
( 75
 
8.0%
, 67
 
7.2%
2 65
 
6.9%
4 38
 
4.1%
3 35
 
3.7%
6 27
 
2.9%
0 23
 
2.5%
Other values (7) 87
 
9.3%
Hangul
ValueCountFrequency (%)
부 133
 
10.4%
평 116
 
9.1%
천 85
 
6.7%
동 83
 
6.5%
시 74
 
5.8%
인 72
 
5.6%
역 71
 
5.6%
로 71
 
5.6%
구 71
 
5.6%
광 71
 
5.6%
Other values (92) 429
33.6%

업태명
Categorical

IMBALANCE 

Distinct6
Distinct (%)8.5%
Missing0
Missing (%)0.0%
Memory size700.0 B
한식
62 
일식
 
3
경양식
 
2
중국식
 
2
양식
 
1

Length

Max length3
Median length2
Mean length2.0704225
Min length2

Unique

Unique2 ?
Unique (%)2.8%

Sample

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

Common Values

ValueCountFrequency (%)
한식 62
87.3%
일식 3
 
4.2%
경양식 2
 
2.8%
중국식 2
 
2.8%
양식 1
 
1.4%
뷔페식 1
 
1.4%

Length

2024-01-28T23:32:29.685167image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-28T23:32:29.787835image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
한식 62
87.3%
일식 3
 
4.2%
경양식 2
 
2.8%
중국식 2
 
2.8%
양식 1
 
1.4%
뷔페식 1
 
1.4%

전화번호
Text

UNIQUE 

Distinct71
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size700.0 B
2024-01-28T23:32:29.997338image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters852
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

Unique71 ?
Unique (%)100.0%

Sample

1st row032-517-4007
2nd row032-524-3300
3rd row032-511-1494
4th row032-505-4366
5th row032-512-9279
ValueCountFrequency (%)
032-517-4007 1
 
1.4%
032-213-3027 1
 
1.4%
032-515-8292 1
 
1.4%
032-501-5053 1
 
1.4%
032-507-0709 1
 
1.4%
032-528-7500 1
 
1.4%
032-522-1199 1
 
1.4%
032-508-1592 1
 
1.4%
032-516-3849 1
 
1.4%
032-528-7797 1
 
1.4%
Other values (61) 61
85.9%
2024-01-28T23:32:30.339900image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 142
16.7%
0 140
16.4%
2 130
15.3%
3 120
14.1%
5 106
12.4%
1 61
7.2%
7 36
 
4.2%
8 33
 
3.9%
9 32
 
3.8%
6 28
 
3.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 710
83.3%
Dash Punctuation 142
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 140
19.7%
2 130
18.3%
3 120
16.9%
5 106
14.9%
1 61
8.6%
7 36
 
5.1%
8 33
 
4.6%
9 32
 
4.5%
6 28
 
3.9%
4 24
 
3.4%
Dash Punctuation
ValueCountFrequency (%)
- 142
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 852
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 142
16.7%
0 140
16.4%
2 130
15.3%
3 120
14.1%
5 106
12.4%
1 61
7.2%
7 36
 
4.2%
8 33
 
3.9%
9 32
 
3.8%
6 28
 
3.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 852
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 142
16.7%
0 140
16.4%
2 130
15.3%
3 120
14.1%
5 106
12.4%
1 61
7.2%
7 36
 
4.2%
8 33
 
3.9%
9 32
 
3.8%
6 28
 
3.3%

Interactions

2024-01-28T23:32:27.938704image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-01-28T23:32:30.429709image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번업소명소재지(도로명)업태명전화번호
연번1.0001.0001.0000.0001.000
업소명1.0001.0001.0001.0001.000
소재지(도로명)1.0001.0001.0001.0001.000
업태명0.0001.0001.0001.0001.000
전화번호1.0001.0001.0001.0001.000
2024-01-28T23:32:30.506879image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번업태명
연번1.0000.000
업태명0.0001.000

Missing values

2024-01-28T23:32:28.034437image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-01-28T23:32:28.112627image/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)업태명전화번호
01거궁부평점인천광역시 부평구 아트센터로 166 (십정동, 부평아트센터 3층 일부)한식032-517-4007
12경복궁부평점(주)엔타스인천광역시 부평구 길주로 643, 명윤빌딩 5층 (삼산동)한식032-524-3300
23경복궁삼계탕인천광역시 부평구 평천로 553, 1층 (삼산동)한식032-511-1494
34고향밥상인천광역시 부평구 경원대로1367번길 26-5 (부평동)한식032-505-4366
45그램그램&큰맘할매순대국인천광역시 부평구 부흥로 371 (부평동)한식032-512-9279
56김정문설렁탕인천광역시 부평구 부평대로 19-1, 1층 (부평동, 도시프라자)한식032-507-2325
67남대감쌈밥인천광역시 부평구 마장로 243 (산곡동)한식032-505-2662
78남도해물탕인천광역시 부평구 부평문화로 111-1, 1층 일부호 (부평동)한식032-518-6756
89남촌인천광역시 부평구 부영로 161 (산곡동)한식032-511-7254
910놀부보쌈족발앤부대찌개앤흥부찜닭인천광역시 부평구 마장로324번길 70 (산곡동,외3필지 대우프라자1 2층)한식032-503-5382
연번업소명소재지(도로명)업태명전화번호
6162조은삼계탕인천광역시 부평구 시장로71번길 5 (부평동,(1층))한식032-515-5252
6263주식회사헤세드인천광역시 부평구 대정로 66, 다운타운일레븐 6층 601호 (부평동)뷔페식032-521-1113
6364착한낙지인천광역시 부평구 대정로 17 (부평동, 1층)한식032-507-9007
6465착한쭝식인천광역시 부평구 마장로 314, 1층 (산곡동, 성수빌딩 101호 일부)중국식032-361-6700
6566코다리냉면인천광역시 부평구 백범로 442 (십정동,1층)한식032-431-0970
6667한촌설렁탕인천성모병원점인천광역시 부평구 동수로 56, 가톨릭대학교인천성모병원 4동 뇌병원 지하1층 2호 (부평동)한식032-525-1393
6768함흥관인천광역시 부평구 마장로 10, 2,3층 (십정동, 외 1필지)한식032-527-4004
6869향이랑인천광역시 부평구 부흥로 264 (부평동,동아웰빙타운 204호)한식032-527-1122
6970황가복(黃家福)인천광역시 부평구 마장로 245 (산곡동,1층,2층)한식032-330-0353
7071후원인천광역시 부평구 경원대로 1277 (산곡동,(414호))한식032-363-5656