Overview

Dataset statistics

Number of variables4
Number of observations99
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory3.4 KiB
Average record size in memory35.3 B

Variable types

Text2
Numeric2

Dataset

Description부산광역시 치킨(통닭)집 현황에 대한 데이터로 업소명, 도로명주소, 위도, 경도 항목에 대한 정보를 제공합니다.* 일부 주소 미입력 업소 및 개인정보는 제외
Author부산광역시
URLhttps://www.data.go.kr/data/15055133/fileData.do

Alerts

소재지 has unique valuesUnique
위도 has unique valuesUnique
경도 has unique valuesUnique

Reproduction

Analysis started2023-12-12 07:16:09.731894
Analysis finished2023-12-12 07:16:10.581226
Duration0.85 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

업소명
Text

Distinct93
Distinct (%)93.9%
Missing0
Missing (%)0.0%
Memory size924.0 B
2023-12-12T16:16:10.778671image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length13
Mean length6.6565657
Min length2

Characters and Unicode

Total characters659
Distinct characters208
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique87 ?
Unique (%)87.9%

Sample

1st row금복용호통닭
2nd row소풍경 중구점
3rd row1GA-24-12
4th row닭썸
5th row고집파닭
ValueCountFrequency (%)
옛날통닭 3
 
2.4%
네네치킨 3
 
2.4%
남다른썬치킨 3
 
2.4%
굽네치킨 3
 
2.4%
티바두마리치킨 2
 
1.6%
맥시칸치킨 2
 
1.6%
썬더치킨 2
 
1.6%
지코바숯불치킨 2
 
1.6%
교촌치킨 2
 
1.6%
영도2호점 1
 
0.8%
Other values (100) 100
81.3%
2023-12-12T16:16:11.163866image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
치 47
 
7.1%
킨 43
 
6.5%
닭 33
 
5.0%
점 26
 
3.9%
24
 
3.6%
통 22
 
3.3%
네 18
 
2.7%
리 10
 
1.5%
이 9
 
1.4%
영 9
 
1.4%
Other values (198) 418
63.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 584
88.6%
Space Separator 24
 
3.6%
Uppercase Letter 14
 
2.1%
Decimal Number 11
 
1.7%
Open Punctuation 8
 
1.2%
Close Punctuation 8
 
1.2%
Other Punctuation 5
 
0.8%
Lowercase Letter 3
 
0.5%
Dash Punctuation 2
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
치 47
 
8.0%
킨 43
 
7.4%
닭 33
 
5.7%
점 26
 
4.5%
통 22
 
3.8%
네 18
 
3.1%
리 10
 
1.7%
이 9
 
1.5%
영 9
 
1.5%
동 8
 
1.4%
Other values (174) 359
61.5%
Uppercase Letter
ValueCountFrequency (%)
A 3
21.4%
S 2
14.3%
G 2
14.3%
M 1
 
7.1%
D 1
 
7.1%
E 1
 
7.1%
P 1
 
7.1%
C 1
 
7.1%
H 1
 
7.1%
B 1
 
7.1%
Decimal Number
ValueCountFrequency (%)
1 4
36.4%
2 3
27.3%
0 2
18.2%
4 1
 
9.1%
5 1
 
9.1%
Other Punctuation
ValueCountFrequency (%)
& 3
60.0%
· 1
 
20.0%
＆ 1
 
20.0%
Lowercase Letter
ValueCountFrequency (%)
e 2
66.7%
r 1
33.3%
Space Separator
ValueCountFrequency (%)
24
100.0%
Open Punctuation
ValueCountFrequency (%)
( 8
100.0%
Close Punctuation
ValueCountFrequency (%)
) 8
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 584
88.6%
Common 58
 
8.8%
Latin 17
 
2.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
치 47
 
8.0%
킨 43
 
7.4%
닭 33
 
5.7%
점 26
 
4.5%
통 22
 
3.8%
네 18
 
3.1%
리 10
 
1.7%
이 9
 
1.5%
영 9
 
1.5%
동 8
 
1.4%
Other values (174) 359
61.5%
Common
ValueCountFrequency (%)
24
41.4%
( 8
 
13.8%
) 8
 
13.8%
1 4
 
6.9%
& 3
 
5.2%
2 3
 
5.2%
0 2
 
3.4%
- 2
 
3.4%
· 1
 
1.7%
＆ 1
 
1.7%
Other values (2) 2
 
3.4%
Latin
ValueCountFrequency (%)
A 3
17.6%
S 2
11.8%
e 2
11.8%
G 2
11.8%
r 1
 
5.9%
M 1
 
5.9%
D 1
 
5.9%
E 1
 
5.9%
P 1
 
5.9%
C 1
 
5.9%
Other values (2) 2
11.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 584
88.6%
ASCII 73
 
11.1%
None 2
 
0.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
치 47
 
8.0%
킨 43
 
7.4%
닭 33
 
5.7%
점 26
 
4.5%
통 22
 
3.8%
네 18
 
3.1%
리 10
 
1.7%
이 9
 
1.5%
영 9
 
1.5%
동 8
 
1.4%
Other values (174) 359
61.5%
ASCII
ValueCountFrequency (%)
24
32.9%
( 8
 
11.0%
) 8
 
11.0%
1 4
 
5.5%
& 3
 
4.1%
A 3
 
4.1%
2 3
 
4.1%
S 2
 
2.7%
e 2
 
2.7%
0 2
 
2.7%
Other values (12) 14
19.2%
None
ValueCountFrequency (%)
· 1
50.0%
＆ 1
50.0%

소재지
Text

UNIQUE 

Distinct99
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size924.0 B
2023-12-12T16:16:11.497170image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length49
Median length39
Mean length28.646465
Min length22

Characters and Unicode

Total characters2836
Distinct characters132
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 row부산광역시 중구 중구로33번길 32, 부평공영주차장 1층 (부평동2가)
2nd row부산광역시 중구 비프광장로 21-1, (부평동1가)
3rd row부산광역시 중구 중앙대로41번길 9-1, (중앙동1가)
4th row부산광역시 중구 중구로29번길 36, 1층 (부평동2가)
5th row부산광역시 중구 비프광장로 33-2, (남포동3가)
ValueCountFrequency (%)
부산광역시 99
 
18.2%
영도구 35
 
6.4%
서구 26
 
4.8%
중구 21
 
3.9%
1층 16
 
2.9%
동삼동 16
 
2.9%
동구 13
 
2.4%
2층 7
 
1.3%
부평동2가 6
 
1.1%
동삼로 6
 
1.1%
Other values (221) 300
55.0%
2023-12-12T16:16:12.012410image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
446
 
15.7%
동 156
 
5.5%
부 122
 
4.3%
, 113
 
4.0%
구 112
 
3.9%
1 109
 
3.8%
광 105
 
3.7%
산 103
 
3.6%
시 99
 
3.5%
역 99
 
3.5%
Other values (122) 1372
48.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1610
56.8%
Space Separator 446
 
15.7%
Decimal Number 437
 
15.4%
Other Punctuation 113
 
4.0%
Open Punctuation 99
 
3.5%
Close Punctuation 99
 
3.5%
Dash Punctuation 30
 
1.1%
Uppercase Letter 1
 
< 0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 156
 
9.7%
부 122
 
7.6%
구 112
 
7.0%
광 105
 
6.5%
산 103
 
6.4%
시 99
 
6.1%
역 99
 
6.1%
로 91
 
5.7%
가 59
 
3.7%
영 53
 
3.3%
Other values (105) 611
38.0%
Decimal Number
ValueCountFrequency (%)
1 109
24.9%
2 89
20.4%
3 62
14.2%
4 36
 
8.2%
5 28
 
6.4%
7 27
 
6.2%
8 24
 
5.5%
9 22
 
5.0%
0 22
 
5.0%
6 18
 
4.1%
Space Separator
ValueCountFrequency (%)
446
100.0%
Other Punctuation
ValueCountFrequency (%)
, 113
100.0%
Open Punctuation
ValueCountFrequency (%)
( 99
100.0%
Close Punctuation
ValueCountFrequency (%)
) 99
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 30
100.0%
Uppercase Letter
ValueCountFrequency (%)
A 1
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1610
56.8%
Common 1225
43.2%
Latin 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 156
 
9.7%
부 122
 
7.6%
구 112
 
7.0%
광 105
 
6.5%
산 103
 
6.4%
시 99
 
6.1%
역 99
 
6.1%
로 91
 
5.7%
가 59
 
3.7%
영 53
 
3.3%
Other values (105) 611
38.0%
Common
ValueCountFrequency (%)
446
36.4%
, 113
 
9.2%
1 109
 
8.9%
( 99
 
8.1%
) 99
 
8.1%
2 89
 
7.3%
3 62
 
5.1%
4 36
 
2.9%
- 30
 
2.4%
5 28
 
2.3%
Other values (6) 114
 
9.3%
Latin
ValueCountFrequency (%)
A 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1610
56.8%
ASCII 1226
43.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
446
36.4%
, 113
 
9.2%
1 109
 
8.9%
( 99
 
8.1%
) 99
 
8.1%
2 89
 
7.3%
3 62
 
5.1%
4 36
 
2.9%
- 30
 
2.4%
5 28
 
2.3%
Other values (7) 115
 
9.4%
Hangul
ValueCountFrequency (%)
동 156
 
9.7%
부 122
 
7.6%
구 112
 
7.0%
광 105
 
6.5%
산 103
 
6.4%
시 99
 
6.1%
역 99
 
6.1%
로 91
 
5.7%
가 59
 
3.7%
영 53
 
3.3%
Other values (105) 611
38.0%

위도
Real number (ℝ)

UNIQUE 

Distinct99
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean35.10225
Minimum35.067861
Maximum35.170744
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1023.0 B
2023-12-12T16:16:12.177531image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum35.067861
5-th percentile35.076681
Q135.08749
median35.100573
Q335.11237
95-th percentile35.139417
Maximum35.170744
Range0.10288312
Interquartile range (IQR)0.024880345

Descriptive statistics

Standard deviation0.020613951
Coefficient of variation (CV)0.00058725442
Kurtosis1.4440572
Mean35.10225
Median Absolute Deviation (MAD)0.01210503
Skewness1.0962523
Sum3475.1228
Variance0.000424935
MonotonicityNot monotonic
2023-12-12T16:16:12.327774image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
35.10110274 1
 
1.0%
35.08983938 1
 
1.0%
35.07644095 1
 
1.0%
35.07668322 1
 
1.0%
35.08914788 1
 
1.0%
35.08764999 1
 
1.0%
35.08214225 1
 
1.0%
35.09140644 1
 
1.0%
35.08290568 1
 
1.0%
35.09268326 1
 
1.0%
Other values (89) 89
89.9%
ValueCountFrequency (%)
35.06786093 1
1.0%
35.07222036 1
1.0%
35.07644095 1
1.0%
35.07662692 1
1.0%
35.07666016 1
1.0%
35.07668322 1
1.0%
35.07682725 1
1.0%
35.07795187 1
1.0%
35.07840268 1
1.0%
35.07845404 1
1.0%
ValueCountFrequency (%)
35.17074405 1
1.0%
35.16922001 1
1.0%
35.15700853 1
1.0%
35.14804353 1
1.0%
35.14166681 1
1.0%
35.13916658 1
1.0%
35.13888289 1
1.0%
35.13842958 1
1.0%
35.13664249 1
1.0%
35.13294928 1
1.0%

경도
Real number (ℝ)

UNIQUE 

Distinct99
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean129.0393
Minimum129.01267
Maximum129.08088
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1023.0 B
2023-12-12T16:16:12.475803image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum129.01267
5-th percentile129.01674
Q1129.02285
median129.03733
Q3129.05468
95-th percentile129.07106
Maximum129.08088
Range0.068208
Interquartile range (IQR)0.03183095

Descriptive statistics

Standard deviation0.018978208
Coefficient of variation (CV)0.00014707308
Kurtosis-0.98695098
Mean129.0393
Median Absolute Deviation (MAD)0.0147274
Skewness0.54492217
Sum12774.891
Variance0.00036017236
MonotonicityNot monotonic
2023-12-12T16:16:12.619884image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
129.0261887 1
 
1.0%
129.0373322 1
 
1.0%
129.0657699 1
 
1.0%
129.0720231 1
 
1.0%
129.0391329 1
 
1.0%
129.0403641 1
 
1.0%
129.0673135 1
 
1.0%
129.0448315 1
 
1.0%
129.0696702 1
 
1.0%
129.0389146 1
 
1.0%
Other values (89) 89
89.9%
ValueCountFrequency (%)
129.0126679 1
1.0%
129.0136676 1
1.0%
129.0148008 1
1.0%
129.0153267 1
1.0%
129.0160631 1
1.0%
129.0168149 1
1.0%
129.0173743 1
1.0%
129.017636 1
1.0%
129.0177511 1
1.0%
129.0180276 1
1.0%
ValueCountFrequency (%)
129.0808759 1
1.0%
129.0751772 1
1.0%
129.0720231 1
1.0%
129.0715732 1
1.0%
129.0712548 1
1.0%
129.0710345 1
1.0%
129.0710271 1
1.0%
129.0708811 1
1.0%
129.0703191 1
1.0%
129.0702363 1
1.0%

Interactions

2023-12-12T16:16:10.179642image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:16:10.015172image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:16:10.261738image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:16:10.093249image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T16:16:12.724546image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
업소명소재지위도경도
업소명1.0001.0000.0000.423
소재지1.0001.0001.0001.000
위도0.0001.0001.0000.878
경도0.4231.0000.8781.000
2023-12-12T16:16:12.824674image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
위도경도
위도1.000-0.406
경도-0.4061.000

Missing values

2023-12-12T16:16:10.445454image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T16:16:10.548320image/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

업소명소재지위도경도
0금복용호통닭부산광역시 중구 중구로33번길 32, 부평공영주차장 1층 (부평동2가)35.101103129.026189
1소풍경 중구점부산광역시 중구 비프광장로 21-1, (부평동1가)35.098828129.027575
21GA-24-12부산광역시 중구 중앙대로41번길 9-1, (중앙동1가)35.101062129.035259
3닭썸부산광역시 중구 중구로29번길 36, 1층 (부평동2가)35.100573129.025974
4고집파닭부산광역시 중구 비프광장로 33-2, (남포동3가)35.099061129.02885
5오복통닭부산광역시 중구 부평1길 59, 1층 (부평동2가)35.102188129.025808
6닭다리먹고 맴맴부산광역시 중구 광복로12번길 5, 1층 (부평동1가, 외 1필지)35.099028129.026415
7훈춘부산광역시 중구 흑교로59번길 15-1, 1층 (보수동3가)35.103877129.023262
8미스터치킨맨부산광역시 중구 망양로 277, 지하층 (보수동1가)35.107204129.026298
9지코바숯불치킨부산광역시 중구 중구로 148, 1층 (동광동5가)35.108283129.035153
업소명소재지위도경도
89소문난 안동찜닭부산광역시 영도구 조내기로 38, 상가2동 106호 (청학동, 영도 원우엔리치빌 아파트)35.085381129.062849
90옛날통닭부산광역시 영도구 남항로41번길 18-4, (영선동2가)35.089245129.041459
91또봉이통닭부산광역시 영도구 동삼서로 32, (동삼동)35.081855129.069273
92김해통닭부산광역시 영도구 동삼로 34, (동삼동)35.07666129.071573
93멕시카나치킨영선점부산광역시 영도구 꿈나무길 238, (영선동3가)35.086339129.042957
94영도불닭&크레이지덕부산광역시 영도구 동삼북로 3, 2층 201호 (동삼동, 동삼1주공상가)35.083045129.069222
95달리는꼬꼬부산광역시 부산진구 연지로 5, (연지동)35.170744129.050435
96남다른썬치킨 신암1호점부산광역시 부산진구 신암로 73, 1층 (범천동)35.148044129.053941
97당감점굽네치킨부산광역시 부산진구 당감서로 118-1, (당감동)35.16922129.033774
98통큰맘모스치킨부산광역시 부산진구 백양대로 235, (개금동)35.157009129.025014