Overview

Dataset statistics

Number of variables7
Number of observations57
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory3.3 KiB
Average record size in memory59.3 B

Variable types

Numeric1
Categorical3
Text3

Dataset

Description부산광역시북구_자원봉사우대할인가맹점현황_20221222
Author부산광역시 북구
URLhttp://data.busan.go.kr/dataSet/detail.nm?contentId=10&publicdatapk=15075277

Alerts

번호 is highly overall correlated with 지역High correlation
지역 is highly overall correlated with 번호High correlation
번호 has unique valuesUnique
업체명 has unique valuesUnique
연락처 has unique valuesUnique

Reproduction

Analysis started2023-12-10 16:47:28.365491
Analysis finished2023-12-10 16:47:29.206441
Duration0.84 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct57
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean29
Minimum1
Maximum57
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size645.0 B
2023-12-11T01:47:29.294546image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3.8
Q115
median29
Q343
95-th percentile54.2
Maximum57
Range56
Interquartile range (IQR)28

Descriptive statistics

Standard deviation16.598193
Coefficient of variation (CV)0.57235147
Kurtosis-1.2
Mean29
Median Absolute Deviation (MAD)14
Skewness0
Sum1653
Variance275.5
MonotonicityStrictly increasing
2023-12-11T01:47:29.465607image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
1.8%
44 1
 
1.8%
32 1
 
1.8%
33 1
 
1.8%
34 1
 
1.8%
35 1
 
1.8%
36 1
 
1.8%
37 1
 
1.8%
38 1
 
1.8%
39 1
 
1.8%
Other values (47) 47
82.5%
ValueCountFrequency (%)
1 1
1.8%
2 1
1.8%
3 1
1.8%
4 1
1.8%
5 1
1.8%
6 1
1.8%
7 1
1.8%
8 1
1.8%
9 1
1.8%
10 1
1.8%
ValueCountFrequency (%)
57 1
1.8%
56 1
1.8%
55 1
1.8%
54 1
1.8%
53 1
1.8%
52 1
1.8%
51 1
1.8%
50 1
1.8%
49 1
1.8%
48 1
1.8%

지역
Categorical

HIGH CORRELATION 

Distinct5
Distinct (%)8.8%
Missing0
Missing (%)0.0%
Memory size588.0 B
덕천동
19 
화명동
15 
구포동
11 
만덕동
9 
금곡동
3 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row덕천동
2nd row덕천동
3rd row만덕동
4th row구포동
5th row구포동

Common Values

ValueCountFrequency (%)
덕천동 19
33.3%
화명동 15
26.3%
구포동 11
19.3%
만덕동 9
15.8%
금곡동 3
 
5.3%

Length

2023-12-11T01:47:29.632276image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T01:47:29.745977image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
덕천동 19
33.3%
화명동 15
26.3%
구포동 11
19.3%
만덕동 9
15.8%
금곡동 3
 
5.3%

업체명
Text

UNIQUE 

Distinct57
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size588.0 B
2023-12-11T01:47:29.991821image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length12
Mean length7.8421053
Min length3

Characters and Unicode

Total characters447
Distinct characters155
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

Unique57 ?
Unique (%)100.0%

Sample

1st row체담한방병원
2nd row청년복덕방공인중개사사무소
3rd row한국인테리어
4th row명성태권도교육관
5th row구포성심병원
ValueCountFrequency (%)
꽃 4
 
4.9%
체담한방병원 1
 
1.2%
내과병원 1
 
1.2%
그래픽마트 1
 
1.2%
꽃샘미용실 1
 
1.2%
부산덕천점 1
 
1.2%
으뜸50안경 1
 
1.2%
인쇄사 1
 
1.2%
덕원 1
 
1.2%
센트럴병원 1
 
1.2%
Other values (69) 69
84.1%
2023-12-11T01:47:30.466194image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
25
 
5.6%
원 18
 
4.0%
점 12
 
2.7%
화 12
 
2.7%
사 10
 
2.2%
명 10
 
2.2%
병 10
 
2.2%
) 9
 
2.0%
( 9
 
2.0%
마 9
 
2.0%
Other values (145) 323
72.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 402
89.9%
Space Separator 25
 
5.6%
Close Punctuation 9
 
2.0%
Open Punctuation 9
 
2.0%
Decimal Number 2
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
원 18
 
4.5%
점 12
 
3.0%
화 12
 
3.0%
사 10
 
2.5%
명 10
 
2.5%
병 10
 
2.5%
마 9
 
2.2%
금 8
 
2.0%
새 8
 
2.0%
도 8
 
2.0%
Other values (140) 297
73.9%
Decimal Number
ValueCountFrequency (%)
5 1
50.0%
0 1
50.0%
Space Separator
ValueCountFrequency (%)
25
100.0%
Close Punctuation
ValueCountFrequency (%)
) 9
100.0%
Open Punctuation
ValueCountFrequency (%)
( 9
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 402
89.9%
Common 45
 
10.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
원 18
 
4.5%
점 12
 
3.0%
화 12
 
3.0%
사 10
 
2.5%
명 10
 
2.5%
병 10
 
2.5%
마 9
 
2.2%
금 8
 
2.0%
새 8
 
2.0%
도 8
 
2.0%
Other values (140) 297
73.9%
Common
ValueCountFrequency (%)
25
55.6%
) 9
 
20.0%
( 9
 
20.0%
5 1
 
2.2%
0 1
 
2.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 402
89.9%
ASCII 45
 
10.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
25
55.6%
) 9
 
20.0%
( 9
 
20.0%
5 1
 
2.2%
0 1
 
2.2%
Hangul
ValueCountFrequency (%)
원 18
 
4.5%
점 12
 
3.0%
화 12
 
3.0%
사 10
 
2.5%
명 10
 
2.5%
병 10
 
2.5%
마 9
 
2.2%
금 8
 
2.0%
새 8
 
2.0%
도 8
 
2.0%
Other values (140) 297
73.9%

연락처
Text

UNIQUE 

Distinct57
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size588.0 B
2023-12-11T01:47:30.799837image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length11.947368
Min length9

Characters and Unicode

Total characters681
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

Unique57 ?
Unique (%)100.0%

Sample

1st row051-753-1500
2nd row051-342-3113
3rd row051-343-0413
4th row051-333-7967
5th row051-333-2001
ValueCountFrequency (%)
051-753-1500 1
 
1.8%
051-364-0014 1
 
1.8%
051-343-0014 1
 
1.8%
051-330-5000 1
 
1.8%
051-331-7575 1
 
1.8%
051-363-2331 1
 
1.8%
051-996-8575 1
 
1.8%
051-331-7275 1
 
1.8%
1899-0058 1
 
1.8%
051-332-9600 1
 
1.8%
Other values (47) 47
82.5%
2023-12-11T01:47:31.233168image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3 122
17.9%
- 113
16.6%
0 100
14.7%
1 99
14.5%
5 90
13.2%
2 38
 
5.6%
4 36
 
5.3%
6 29
 
4.3%
7 26
 
3.8%
8 15
 
2.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 568
83.4%
Dash Punctuation 113
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 122
21.5%
0 100
17.6%
1 99
17.4%
5 90
15.8%
2 38
 
6.7%
4 36
 
6.3%
6 29
 
5.1%
7 26
 
4.6%
8 15
 
2.6%
9 13
 
2.3%
Dash Punctuation
ValueCountFrequency (%)
- 113
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 681
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
3 122
17.9%
- 113
16.6%
0 100
14.7%
1 99
14.5%
5 90
13.2%
2 38
 
5.6%
4 36
 
5.3%
6 29
 
4.3%
7 26
 
3.8%
8 15
 
2.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 681
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3 122
17.9%
- 113
16.6%
0 100
14.7%
1 99
14.5%
5 90
13.2%
2 38
 
5.6%
4 36
 
5.3%
6 29
 
4.3%
7 26
 
3.8%
8 15
 
2.2%

소재지
Text

Distinct56
Distinct (%)98.2%
Missing0
Missing (%)0.0%
Memory size588.0 B
2023-12-11T01:47:31.536064image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length34
Median length28
Mean length22.947368
Min length15

Characters and Unicode

Total characters1308
Distinct characters97
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

Unique55 ?
Unique (%)96.5%

Sample

1st row부산광역시 북구 만덕대로 23 뉴코아아울렛 덕천점 11층12층
2nd row부산광역시 북구 만덕대로127번길 14-3
3rd row부산광역시 북구 덕천로234번길 13 동원아파트 상가
4th row부산광역시 북구 모분재로 15번길(구포동)
5th row부산광역시 북구 낙동대로 1786 (구포동)
ValueCountFrequency (%)
부산광역시 57
21.3%
북구 57
21.3%
덕천동 11
 
4.1%
금곡대로 8
 
3.0%
만덕대로 7
 
2.6%
구포동 5
 
1.9%
화명동 5
 
1.9%
9 3
 
1.1%
16 3
 
1.1%
덕천로234번길 3
 
1.1%
Other values (98) 109
40.7%
2023-12-11T01:47:32.005348image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
212
 
16.2%
구 69
 
5.3%
시 60
 
4.6%
북 59
 
4.5%
부 57
 
4.4%
산 57
 
4.4%
광 57
 
4.4%
역 57
 
4.4%
로 53
 
4.1%
1 40
 
3.1%
Other values (87) 587
44.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 831
63.5%
Space Separator 212
 
16.2%
Decimal Number 191
 
14.6%
Close Punctuation 31
 
2.4%
Open Punctuation 31
 
2.4%
Other Punctuation 7
 
0.5%
Dash Punctuation 4
 
0.3%
Uppercase Letter 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 69
 
8.3%
시 60
 
7.2%
북 59
 
7.1%
부 57
 
6.9%
산 57
 
6.9%
광 57
 
6.9%
역 57
 
6.9%
로 53
 
6.4%
동 36
 
4.3%
덕 35
 
4.2%
Other values (71) 291
35.0%
Decimal Number
ValueCountFrequency (%)
1 40
20.9%
2 26
13.6%
3 22
11.5%
6 18
9.4%
7 17
8.9%
0 17
8.9%
8 16
 
8.4%
4 13
 
6.8%
5 12
 
6.3%
9 10
 
5.2%
Space Separator
ValueCountFrequency (%)
212
100.0%
Close Punctuation
ValueCountFrequency (%)
) 31
100.0%
Open Punctuation
ValueCountFrequency (%)
( 31
100.0%
Other Punctuation
ValueCountFrequency (%)
, 7
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%
Uppercase Letter
ValueCountFrequency (%)
B 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 831
63.5%
Common 476
36.4%
Latin 1
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 69
 
8.3%
시 60
 
7.2%
북 59
 
7.1%
부 57
 
6.9%
산 57
 
6.9%
광 57
 
6.9%
역 57
 
6.9%
로 53
 
6.4%
동 36
 
4.3%
덕 35
 
4.2%
Other values (71) 291
35.0%
Common
ValueCountFrequency (%)
212
44.5%
1 40
 
8.4%
) 31
 
6.5%
( 31
 
6.5%
2 26
 
5.5%
3 22
 
4.6%
6 18
 
3.8%
7 17
 
3.6%
0 17
 
3.6%
8 16
 
3.4%
Other values (5) 46
 
9.7%
Latin
ValueCountFrequency (%)
B 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 831
63.5%
ASCII 477
36.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
212
44.4%
1 40
 
8.4%
) 31
 
6.5%
( 31
 
6.5%
2 26
 
5.5%
3 22
 
4.6%
6 18
 
3.8%
7 17
 
3.6%
0 17
 
3.6%
8 16
 
3.4%
Other values (6) 47
 
9.9%
Hangul
ValueCountFrequency (%)
구 69
 
8.3%
시 60
 
7.2%
북 59
 
7.1%
부 57
 
6.9%
산 57
 
6.9%
광 57
 
6.9%
역 57
 
6.9%
로 53
 
6.4%
동 36
 
4.3%
덕 35
 
4.2%
Other values (71) 291
35.0%

할인품목
Categorical

Distinct8
Distinct (%)14.0%
Missing0
Missing (%)0.0%
Memory size588.0 B
전품목
25 
본인
21 
펌
4 
<NA>
 
2
일부품목
 
2
Other values (3)
3 

Length

Max length10
Median length9
Mean length2.7719298
Min length1

Unique

Unique3 ?
Unique (%)5.3%

Sample

1st row본인, 동반 1인
2nd row<NA>
3rd row<NA>
4th row전품목
5th row본인

Common Values

ValueCountFrequency (%)
전품목 25
43.9%
본인 21
36.8%
펌 4
 
7.0%
<NA> 2
 
3.5%
일부품목 2
 
3.5%
본인, 동반 1인 1
 
1.8%
전체 1
 
1.8%
본인 및 직계존비속 1
 
1.8%

Length

2023-12-11T01:47:32.169745image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T01:47:32.303557image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
전품목 25
41.0%
본인 23
37.7%
펌 4
 
6.6%
na 2
 
3.3%
일부품목 2
 
3.3%
동반 1
 
1.6%
1인 1
 
1.6%
전체 1
 
1.6%
및 1
 
1.6%
직계존비속 1
 
1.6%

할인내용
Categorical

Distinct18
Distinct (%)31.6%
Missing0
Missing (%)0.0%
Memory size588.0 B
10%
19 
예적금 0.1%인상 대출금리 0.05%인하
7 
5%
7 
비급여 10%
5 
15%
4 
Other values (13)
15 

Length

Max length23
Median length22
Mean length7.7368421
Min length2

Unique

Unique12 ?
Unique (%)21.1%

Sample

1st row비급여 10%
2nd row20%
3rd row5%
4th row15%
5th row본인 비급여 20%, 가족 비급여 10%

Common Values

ValueCountFrequency (%)
10% 19
33.3%
예적금 0.1%인상 대출금리 0.05%인하 7
 
12.3%
5% 7
 
12.3%
비급여 10% 5
 
8.8%
15% 4
 
7.0%
20% 3
 
5.3%
비급여 20% 1
 
1.8%
본인 비급여 20%, 가족 비급여 10% 1
 
1.8%
안경 렌즈 20%, 안경테 50% 1
 
1.8%
현금 5% 1
 
1.8%
Other values (8) 8
14.0%

Length

2023-12-11T01:47:32.428312image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
10 29
27.4%
비급여 9
 
8.5%
5 8
 
7.5%
20 8
 
7.5%
0.1%인상 7
 
6.6%
대출금리 7
 
6.6%
0.05%인하 7
 
6.6%
예적금 7
 
6.6%
15 4
 
3.8%
경옥고 1
 
0.9%
Other values (19) 19
17.9%

Interactions

2023-12-11T01:47:28.848202image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T01:47:32.515734image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
번호지역업체명연락처소재지할인품목할인내용
번호1.0000.9811.0001.0001.0000.5310.413
지역0.9811.0001.0001.0001.0000.2500.229
업체명1.0001.0001.0001.0001.0001.0001.000
연락처1.0001.0001.0001.0001.0001.0001.000
소재지1.0001.0001.0001.0001.0000.9850.995
할인품목0.5310.2501.0001.0000.9851.0000.734
할인내용0.4130.2291.0001.0000.9950.7341.000
2023-12-11T01:47:32.649789image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
지역할인내용할인품목
지역1.0000.0700.152
할인내용0.0701.0000.380
할인품목0.1520.3801.000
2023-12-11T01:47:32.763658image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
번호지역할인품목할인내용
번호1.0000.7670.2720.111
지역0.7671.0000.1520.070
할인품목0.2720.1521.0000.380
할인내용0.1110.0700.3801.000

Missing values

2023-12-11T01:47:28.974479image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T01:47:29.149155image/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

번호지역업체명연락처소재지할인품목할인내용
01덕천동체담한방병원051-753-1500부산광역시 북구 만덕대로 23 뉴코아아울렛 덕천점 11층12층본인, 동반 1인비급여 10%
12덕천동청년복덕방공인중개사사무소051-342-3113부산광역시 북구 만덕대로127번길 14-3<NA>20%
23만덕동한국인테리어051-343-0413부산광역시 북구 덕천로234번길 13 동원아파트 상가<NA>5%
34구포동명성태권도교육관051-333-7967부산광역시 북구 모분재로 15번길(구포동)전품목15%
45구포동구포성심병원051-333-2001부산광역시 북구 낙동대로 1786 (구포동)본인본인 비급여 20%, 가족 비급여 10%
56구포동무궁화 꽃집051-333-8473부산광역시 북구 구포시장2길 18 (구포동)전품목10%
67구포동보이는 세상 안경원051-334-5884부산광역시 북구 백양대로 1192 (구포동)일부품목안경 렌즈 20%, 안경테 50%
78구포동대진사진관051-332-8952부산광역시 북구 낙동북로 681 가길, 21-20번지전품목5%
89구포동묵도리밀면점051-332-2205부산광역시 북구 구포만세길 106 (구포동)전품목5%
910구포동동화루051-304-3120부산광역시 북구 사상로 577(구포동)전품목현금 5%
번호지역업체명연락처소재지할인품목할인내용
4748덕천동부산북구 꽃배달051-338-4222부산광역시 북구 의성로67번길 108전품목10%
4849덕천동수정안경원051-336-8706부산광역시 북구 만덕대로 5 (덕천동)전품목15%
4950만덕동백양의료재단아하브병원051-333-8600부산광역시 북구 만덕고개길 84 (만덕동)본인10%
5051만덕동한울태권도장051-334-6611부산광역시 북구 덕천로281번길 16본인10%
5152만덕동떡화네051-341-1157부산광역시 북구 덕천로259번길 30전품목5%
5253만덕동동아대 인성태권도장051-342-9211부산광역시 북구 덕천로234번길 7전품목10%
5354만덕동삼성 방앗간051-337-1176부산광역시 북구 만덕2로 10전품목5%
5455만덕동푸르른 날 꽃 농원051-341-7546부산광역시 북구 상리로 52전품목도자기 10%
5556만덕동신만덕새마을금고(본점)051-343-2361부산광역시 북구 덕천로 301본인예적금 0.1%인상 대출금리 0.05%인하
5657만덕동신만덕새마을금고(제일지점)051-343-2365부산광역시 북구 덕천로234번길 7본인예적금 0.1%인상 대출금리 0.05%인하