Overview

Dataset statistics

Number of variables6
Number of observations31
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.6 KiB
Average record size in memory53.3 B

Variable types

Numeric1
Text4
Categorical1

Dataset

Description부산광역시_동래구_자원봉사할인가맹점현황_20230220
Author부산광역시 동래구
URLhttp://data.busan.go.kr/dataSet/detail.nm?contentId=10&publicdatapk=3079372

Alerts

연번 has unique valuesUnique
상호명 has unique valuesUnique
도로명주소 has unique valuesUnique
전화번호 has unique valuesUnique

Reproduction

Analysis started2023-12-10 16:34:58.703947
Analysis finished2023-12-10 16:34:59.408696
Duration0.7 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct31
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean16
Minimum1
Maximum31
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size411.0 B
2023-12-11T01:34:59.734103image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2.5
Q18.5
median16
Q323.5
95-th percentile29.5
Maximum31
Range30
Interquartile range (IQR)15

Descriptive statistics

Standard deviation9.0921211
Coefficient of variation (CV)0.56825757
Kurtosis-1.2
Mean16
Median Absolute Deviation (MAD)8
Skewness0
Sum496
Variance82.666667
MonotonicityStrictly increasing
2023-12-11T01:34:59.893054image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
1 1
 
3.2%
2 1
 
3.2%
31 1
 
3.2%
30 1
 
3.2%
29 1
 
3.2%
28 1
 
3.2%
27 1
 
3.2%
26 1
 
3.2%
25 1
 
3.2%
24 1
 
3.2%
Other values (21) 21
67.7%
ValueCountFrequency (%)
1 1
3.2%
2 1
3.2%
3 1
3.2%
4 1
3.2%
5 1
3.2%
6 1
3.2%
7 1
3.2%
8 1
3.2%
9 1
3.2%
10 1
3.2%
ValueCountFrequency (%)
31 1
3.2%
30 1
3.2%
29 1
3.2%
28 1
3.2%
27 1
3.2%
26 1
3.2%
25 1
3.2%
24 1
3.2%
23 1
3.2%
22 1
3.2%

상호명
Text

UNIQUE 

Distinct31
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size380.0 B
2023-12-11T01:35:00.150763image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length9
Mean length6.0967742
Min length3

Characters and Unicode

Total characters189
Distinct characters106
Distinct categories4 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique31 ?
Unique (%)100.0%

Sample

1st row눈사랑안경
2nd row눈빛안경
3rd row으뜸50안경 동래점
4th row무극안경콘택트명륜점
5th row밝은세상안경원 동래점
ValueCountFrequency (%)
동래점 2
 
5.3%
눈사랑안경 1
 
2.6%
푸른화원 1
 
2.6%
토박이 1
 
2.6%
산 1
 
2.6%
곰장어 1
 
2.6%
황금성 1
 
2.6%
장수원 1
 
2.6%
빠리쟝 1
 
2.6%
제과점 1
 
2.6%
Other values (27) 27
71.1%
2023-12-11T01:35:00.507817image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
안 8
 
4.2%
경 7
 
3.7%
7
 
3.7%
원 5
 
2.6%
점 5
 
2.6%
동 5
 
2.6%
미 4
 
2.1%
비 4
 
2.1%
래 4
 
2.1%
장 4
 
2.1%
Other values (96) 136
72.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 174
92.1%
Space Separator 7
 
3.7%
Decimal Number 6
 
3.2%
Uppercase Letter 2
 
1.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
안 8
 
4.6%
경 7
 
4.0%
원 5
 
2.9%
점 5
 
2.9%
동 5
 
2.9%
미 4
 
2.3%
비 4
 
2.3%
래 4
 
2.3%
장 4
 
2.3%
산 4
 
2.3%
Other values (90) 124
71.3%
Decimal Number
ValueCountFrequency (%)
0 3
50.0%
1 2
33.3%
5 1
 
16.7%
Uppercase Letter
ValueCountFrequency (%)
K 1
50.0%
O 1
50.0%
Space Separator
ValueCountFrequency (%)
7
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 174
92.1%
Common 13
 
6.9%
Latin 2
 
1.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
안 8
 
4.6%
경 7
 
4.0%
원 5
 
2.9%
점 5
 
2.9%
동 5
 
2.9%
미 4
 
2.3%
비 4
 
2.3%
래 4
 
2.3%
장 4
 
2.3%
산 4
 
2.3%
Other values (90) 124
71.3%
Common
ValueCountFrequency (%)
7
53.8%
0 3
23.1%
1 2
 
15.4%
5 1
 
7.7%
Latin
ValueCountFrequency (%)
K 1
50.0%
O 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 174
92.1%
ASCII 15
 
7.9%

Most frequent character per block

Hangul
ValueCountFrequency (%)
안 8
 
4.6%
경 7
 
4.0%
원 5
 
2.9%
점 5
 
2.9%
동 5
 
2.9%
미 4
 
2.3%
비 4
 
2.3%
래 4
 
2.3%
장 4
 
2.3%
산 4
 
2.3%
Other values (90) 124
71.3%
ASCII
ValueCountFrequency (%)
7
46.7%
0 3
20.0%
1 2
 
13.3%
5 1
 
6.7%
K 1
 
6.7%
O 1
 
6.7%

도로명주소
Text

UNIQUE 

Distinct31
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size380.0 B
2023-12-11T01:35:00.717943image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length32
Median length29
Mean length24.612903
Min length18

Characters and Unicode

Total characters763
Distinct characters63
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

Unique31 ?
Unique (%)100.0%

Sample

1st row부산광역시 동래구 충렬대로 255(수안동)힘찬병원 1층
2nd row부산광역시 동래구 충렬대로107번길 29(온천동)
3rd row부산광역시 동래구 충렬대로245번길1(수안동)
4th row부산광역시 동래구 명륜로 190(명륜동)
5th row부산광역시 동래구 동래로136번길 7(복천동)
ValueCountFrequency (%)
부산광역시 31
25.6%
동래구 31
25.6%
충렬대로 3
 
2.5%
명륜로 3
 
2.5%
1층 2
 
1.7%
명륜로98번길 2
 
1.7%
석사북로 2
 
1.7%
명안로 2
 
1.7%
중앙대로 2
 
1.7%
124(사직동 1
 
0.8%
Other values (42) 42
34.7%
2023-12-11T01:35:01.047946image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
91
 
11.9%
동 58
 
7.6%
래 33
 
4.3%
시 32
 
4.2%
1 32
 
4.2%
산 32
 
4.2%
부 31
 
4.1%
광 31
 
4.1%
역 31
 
4.1%
구 31
 
4.1%
Other values (53) 361
47.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 485
63.6%
Decimal Number 133
 
17.4%
Space Separator 91
 
11.9%
Open Punctuation 25
 
3.3%
Close Punctuation 25
 
3.3%
Dash Punctuation 3
 
0.4%
Other Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 58
 
12.0%
래 33
 
6.8%
시 32
 
6.6%
산 32
 
6.6%
부 31
 
6.4%
광 31
 
6.4%
역 31
 
6.4%
구 31
 
6.4%
로 31
 
6.4%
길 21
 
4.3%
Other values (38) 154
31.8%
Decimal Number
ValueCountFrequency (%)
1 32
24.1%
2 19
14.3%
4 13
9.8%
9 13
9.8%
7 12
 
9.0%
5 11
 
8.3%
3 11
 
8.3%
8 9
 
6.8%
0 7
 
5.3%
6 6
 
4.5%
Space Separator
ValueCountFrequency (%)
91
100.0%
Open Punctuation
ValueCountFrequency (%)
( 25
100.0%
Close Punctuation
ValueCountFrequency (%)
) 25
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 485
63.6%
Common 278
36.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 58
 
12.0%
래 33
 
6.8%
시 32
 
6.6%
산 32
 
6.6%
부 31
 
6.4%
광 31
 
6.4%
역 31
 
6.4%
구 31
 
6.4%
로 31
 
6.4%
길 21
 
4.3%
Other values (38) 154
31.8%
Common
ValueCountFrequency (%)
91
32.7%
1 32
 
11.5%
( 25
 
9.0%
) 25
 
9.0%
2 19
 
6.8%
4 13
 
4.7%
9 13
 
4.7%
7 12
 
4.3%
5 11
 
4.0%
3 11
 
4.0%
Other values (5) 26
 
9.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 485
63.6%
ASCII 278
36.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
91
32.7%
1 32
 
11.5%
( 25
 
9.0%
) 25
 
9.0%
2 19
 
6.8%
4 13
 
4.7%
9 13
 
4.7%
7 12
 
4.3%
5 11
 
4.0%
3 11
 
4.0%
Other values (5) 26
 
9.4%
Hangul
ValueCountFrequency (%)
동 58
 
12.0%
래 33
 
6.8%
시 32
 
6.6%
산 32
 
6.6%
부 31
 
6.4%
광 31
 
6.4%
역 31
 
6.4%
구 31
 
6.4%
로 31
 
6.4%
길 21
 
4.3%
Other values (38) 154
31.8%

해당동
Categorical

Distinct10
Distinct (%)32.3%
Missing0
Missing (%)0.0%
Memory size380.0 B
수민동
6 
명륜동
5 
복산동
4 
사직동
4 
명장동
4 
Other values (5)
8 

Length

Max length4
Median length3
Mean length3.0967742
Min length3

Unique

Unique3 ?
Unique (%)9.7%

Sample

1st row수민동
2nd row온천동
3rd row수민동
4th row명륜동
5th row복산동

Common Values

ValueCountFrequency (%)
수민동 6
19.4%
명륜동 5
16.1%
복산동 4
12.9%
사직동 4
12.9%
명장동 4
12.9%
온천동 3
9.7%
온천1동 2
 
6.5%
안락동 1
 
3.2%
온천3동 1
 
3.2%
수안동 1
 
3.2%

Length

2023-12-11T01:35:01.230201image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T01:35:01.353605image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
수민동 6
19.4%
명륜동 5
16.1%
복산동 4
12.9%
사직동 4
12.9%
명장동 4
12.9%
온천동 3
9.7%
온천1동 2
 
6.5%
안락동 1
 
3.2%
온천3동 1
 
3.2%
수안동 1
 
3.2%

할인(우대)내용
Text

Distinct28
Distinct (%)90.3%
Missing0
Missing (%)0.0%
Memory size380.0 B
2023-12-11T01:35:01.628072image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length35
Median length24
Mean length18.129032
Min length9

Characters and Unicode

Total characters562
Distinct characters83
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique26 ?
Unique (%)83.9%

Sample

1st row국산안경테 50%, 콘텍트렌즈 30%할인(1회용제외)
2nd row의료기5%, 안경렌즈 10%,안경테 30%, 보청기 50% 할인
3rd row상품금액의 15% 할인(1회용콘택트렌즈, 약품제외)
4th row안경테, 선글라스 30%할인
5th row상품금액의 20% 할인(1회용콘택트렌즈, 약품제외)
ValueCountFrequency (%)
할인 12
 
11.0%
5 12
 
11.0%
이용금액의 9
 
8.3%
10 9
 
8.3%
상품금액의 6
 
5.5%
전품목 6
 
5.5%
할인(1회용콘택트렌즈 3
 
2.8%
약품제외 3
 
2.8%
가능 3
 
2.8%
전체품목 3
 
2.8%
Other values (35) 43
39.4%
2023-12-11T01:35:01.987769image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
85
 
15.1%
% 35
 
6.2%
인 30
 
5.3%
할 30
 
5.3%
품 24
 
4.3%
0 19
 
3.4%
금 18
 
3.2%
) 17
 
3.0%
의 17
 
3.0%
1 17
 
3.0%
Other values (73) 270
48.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 333
59.3%
Space Separator 85
 
15.1%
Decimal Number 61
 
10.9%
Other Punctuation 49
 
8.7%
Close Punctuation 17
 
3.0%
Open Punctuation 17
 
3.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
인 30
 
9.0%
할 30
 
9.0%
품 24
 
7.2%
금 18
 
5.4%
의 17
 
5.1%
용 16
 
4.8%
액 16
 
4.8%
이 11
 
3.3%
목 10
 
3.0%
제 10
 
3.0%
Other values (62) 151
45.3%
Decimal Number
ValueCountFrequency (%)
0 19
31.1%
1 17
27.9%
5 17
27.9%
3 6
 
9.8%
2 2
 
3.3%
Other Punctuation
ValueCountFrequency (%)
% 35
71.4%
, 13
 
26.5%
/ 1
 
2.0%
Space Separator
ValueCountFrequency (%)
85
100.0%
Close Punctuation
ValueCountFrequency (%)
) 17
100.0%
Open Punctuation
ValueCountFrequency (%)
( 17
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 333
59.3%
Common 229
40.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
인 30
 
9.0%
할 30
 
9.0%
품 24
 
7.2%
금 18
 
5.4%
의 17
 
5.1%
용 16
 
4.8%
액 16
 
4.8%
이 11
 
3.3%
목 10
 
3.0%
제 10
 
3.0%
Other values (62) 151
45.3%
Common
ValueCountFrequency (%)
85
37.1%
% 35
15.3%
0 19
 
8.3%
) 17
 
7.4%
1 17
 
7.4%
( 17
 
7.4%
5 17
 
7.4%
, 13
 
5.7%
3 6
 
2.6%
2 2
 
0.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 333
59.3%
ASCII 229
40.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
85
37.1%
% 35
15.3%
0 19
 
8.3%
) 17
 
7.4%
1 17
 
7.4%
( 17
 
7.4%
5 17
 
7.4%
, 13
 
5.7%
3 6
 
2.6%
2 2
 
0.9%
Hangul
ValueCountFrequency (%)
인 30
 
9.0%
할 30
 
9.0%
품 24
 
7.2%
금 18
 
5.4%
의 17
 
5.1%
용 16
 
4.8%
액 16
 
4.8%
이 11
 
3.3%
목 10
 
3.0%
제 10
 
3.0%
Other values (62) 151
45.3%

전화번호
Text

UNIQUE 

Distinct31
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size380.0 B
2023-12-11T01:35:02.264482image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters372
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

Unique31 ?
Unique (%)100.0%

Sample

1st row051-553-5255
2nd row051-552-2883
3rd row051-552-4819
4th row051-555-9898
5th row051-526-5063
ValueCountFrequency (%)
051-553-5255 1
 
3.2%
051-555-9454 1
 
3.2%
051-553-8377 1
 
3.2%
051-553-1270 1
 
3.2%
051-504-7217 1
 
3.2%
051-529-0654 1
 
3.2%
051-531-1110 1
 
3.2%
051-503-3319 1
 
3.2%
051-501-8569 1
 
3.2%
051-555-5326 1
 
3.2%
Other values (21) 21
67.7%
2023-12-11T01:35:02.628284image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 103
27.7%
- 62
16.7%
0 51
13.7%
1 45
12.1%
3 27
 
7.3%
2 24
 
6.5%
4 19
 
5.1%
8 13
 
3.5%
9 12
 
3.2%
7 9
 
2.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 310
83.3%
Dash Punctuation 62
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 103
33.2%
0 51
16.5%
1 45
14.5%
3 27
 
8.7%
2 24
 
7.7%
4 19
 
6.1%
8 13
 
4.2%
9 12
 
3.9%
7 9
 
2.9%
6 7
 
2.3%
Dash Punctuation
ValueCountFrequency (%)
- 62
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 372
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 103
27.7%
- 62
16.7%
0 51
13.7%
1 45
12.1%
3 27
 
7.3%
2 24
 
6.5%
4 19
 
5.1%
8 13
 
3.5%
9 12
 
3.2%
7 9
 
2.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 372
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 103
27.7%
- 62
16.7%
0 51
13.7%
1 45
12.1%
3 27
 
7.3%
2 24
 
6.5%
4 19
 
5.1%
8 13
 
3.5%
9 12
 
3.2%
7 9
 
2.4%

Interactions

2023-12-11T01:34:59.051058image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T01:35:02.731509image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번상호명도로명주소해당동할인(우대)내용전화번호
연번1.0001.0001.0000.5610.9191.000
상호명1.0001.0001.0001.0001.0001.000
도로명주소1.0001.0001.0001.0001.0001.000
해당동0.5611.0001.0001.0000.0001.000
할인(우대)내용0.9191.0001.0000.0001.0001.000
전화번호1.0001.0001.0001.0001.0001.000
2023-12-11T01:35:02.837892image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번해당동
연번1.0000.119
해당동0.1191.000

Missing values

2023-12-11T01:34:59.209780image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T01:34:59.353586image/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

연번상호명도로명주소해당동할인(우대)내용전화번호
01눈사랑안경부산광역시 동래구 충렬대로 255(수안동)힘찬병원 1층수민동국산안경테 50%, 콘텍트렌즈 30%할인(1회용제외)051-553-5255
12눈빛안경부산광역시 동래구 충렬대로107번길 29(온천동)온천동의료기5%, 안경렌즈 10%,안경테 30%, 보청기 50% 할인051-552-2883
23으뜸50안경 동래점부산광역시 동래구 충렬대로245번길1(수안동)수민동상품금액의 15% 할인(1회용콘택트렌즈, 약품제외)051-552-4819
34무극안경콘택트명륜점부산광역시 동래구 명륜로 190(명륜동)명륜동안경테, 선글라스 30%할인051-555-9898
45밝은세상안경원 동래점부산광역시 동래구 동래로136번길 7(복천동)복산동상품금액의 20% 할인(1회용콘택트렌즈, 약품제외)051-526-5063
56동래세컨페이스부산광역시 동래구 명륜로 105(명륜동)명륜동상품금액의 20% 할인(안경테,콘택트렌즈/1회용품 제외)051-554-2080
671001안경부산광역시 동래구 금강로 154(온천동)온천1동상품금액의 30% 할인(1회용콘택트렌즈, 고글, 약품제외)051-552-3400
78희망통닭부산광역시 동래구 명륜로98번길94(낙민동)수민동전품목 10% 할인051-555-0073
89마르메종과자점부산광역시 동래구 명륜로75번길12(수안동)수민동이용금액의 10% 할인051-552-3344
910OK세차정비부산광역시 동래구 동래로 120-1(복천동)복산동정비공임의 10% 할인(부품대 제외)051-555-4131
연번상호명도로명주소해당동할인(우대)내용전화번호
2122장수원부산광역시 동래구 명륜로94번길 51(복천동)복산동이용금액의 5% 할인(수백,돼지국밥)051-558-0543
2223빠리쟝 제과점부산광역시 동래구 충렬대로 237번길74(수안동)수민동이용금액의 3% 할인(자가생산제품에 한해)051-555-5326
2324푸른화원부산광역시 동래구 미남로49(사직동)사직동전품목 5% 할인(5만원이상, 현금만 가능)051-501-8569
2425낙지와 삼겹부산광역시 동래구 석사북로 107온천3동전품목 5% 할인(주류제외)051-503-3319
2526대도축산부산광역시 동래구 명안로 86번길39명장동전체품목 5% 할인(행사품목제외)051-531-1110
2627동아전기철물설비부산광역시 동래구 명안로 85번길11-2명장동전체품목 5% 할인051-529-0654
2728가비스전기부산광역시 동래구 아시아드대로231번길23(사직동)사직동상품금액의 5% 할인(현금만 가능)051-504-7217
2829우리콩맷돌순두부청국장부산광역시 동래구 중앙대로 1367번길74온천동전품목 3% 할인051-553-1270
2930원조본가산곰장어집부산광역시 동래구 명륜로98번길 42수안동전품목 5% 할인(현금만 가능)051-553-8377
3031참뷔페부산광역시 동래구 명륜로112번가길 52, 1층명륜동전품목 5% 할인051-552-2456