Overview

Dataset statistics

Number of variables6
Number of observations89
Missing cells11
Missing cells (%)2.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory4.3 KiB
Average record size in memory49.5 B

Variable types

Text3
Categorical2
DateTime1

Dataset

Description대구광역시 동구 관내 자원봉사자 할인가맹점 현황 데이터입니다. 업소명, 업종, 주소, 연락처, 할인내용, 지정일자 등의 항목을 포함합니다.
Author대구광역시 동구
URLhttps://www.data.go.kr/data/15052511/fileData.do

Alerts

연락처 has 11 (12.4%) missing valuesMissing
업소명 has unique valuesUnique

Reproduction

Analysis started2024-03-23 04:26:53.810549
Analysis finished2024-03-23 04:26:55.583456
Duration1.77 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

업소명
Text

UNIQUE 

Distinct89
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size844.0 B
2024-03-23T04:26:55.902040image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length20
Mean length8.1797753
Min length3

Characters and Unicode

Total characters728
Distinct characters231
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique89 ?
Unique (%)100.0%

Sample

1st row대광상사
2nd row큰집삼계탕
3rd row부부식당
4th row태종대식당
5th row옛날그맛짜장
ValueCountFrequency (%)
동화사 8
 
6.7%
방촌점 2
 
1.7%
대광상사 1
 
0.8%
집단시설지구(산채식당 1
 
0.8%
커피 1
 
0.8%
마더 1
 
0.8%
태풍반점 1
 
0.8%
페인트 1
 
0.8%
강남 1
 
0.8%
옹심이칼국수 1
 
0.8%
Other values (101) 101
84.9%
2024-03-23T04:26:56.900543image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
30
 
4.1%
) 22
 
3.0%
( 22
 
3.0%
동 18
 
2.5%
식 17
 
2.3%
사 15
 
2.1%
당 15
 
2.1%
구 14
 
1.9%
스 13
 
1.8%
화 11
 
1.5%
Other values (221) 551
75.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 646
88.7%
Space Separator 30
 
4.1%
Close Punctuation 22
 
3.0%
Open Punctuation 22
 
3.0%
Lowercase Letter 3
 
0.4%
Uppercase Letter 3
 
0.4%
Other Symbol 2
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 18
 
2.8%
식 17
 
2.6%
사 15
 
2.3%
당 15
 
2.3%
구 14
 
2.2%
스 13
 
2.0%
화 11
 
1.7%
집 11
 
1.7%
지 11
 
1.7%
이 10
 
1.5%
Other values (211) 511
79.1%
Lowercase Letter
ValueCountFrequency (%)
k 1
33.3%
l 1
33.3%
a 1
33.3%
Uppercase Letter
ValueCountFrequency (%)
W 1
33.3%
M 1
33.3%
G 1
33.3%
Space Separator
ValueCountFrequency (%)
30
100.0%
Close Punctuation
ValueCountFrequency (%)
) 22
100.0%
Open Punctuation
ValueCountFrequency (%)
( 22
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 648
89.0%
Common 74
 
10.2%
Latin 6
 
0.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 18
 
2.8%
식 17
 
2.6%
사 15
 
2.3%
당 15
 
2.3%
구 14
 
2.2%
스 13
 
2.0%
화 11
 
1.7%
집 11
 
1.7%
지 11
 
1.7%
이 10
 
1.5%
Other values (212) 513
79.2%
Latin
ValueCountFrequency (%)
k 1
16.7%
l 1
16.7%
a 1
16.7%
W 1
16.7%
M 1
16.7%
G 1
16.7%
Common
ValueCountFrequency (%)
30
40.5%
) 22
29.7%
( 22
29.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 646
88.7%
ASCII 80
 
11.0%
None 2
 
0.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
30
37.5%
) 22
27.5%
( 22
27.5%
k 1
 
1.2%
l 1
 
1.2%
a 1
 
1.2%
W 1
 
1.2%
M 1
 
1.2%
G 1
 
1.2%
Hangul
ValueCountFrequency (%)
동 18
 
2.8%
식 17
 
2.6%
사 15
 
2.3%
당 15
 
2.3%
구 14
 
2.2%
스 13
 
2.0%
화 11
 
1.7%
집 11
 
1.7%
지 11
 
1.7%
이 10
 
1.5%
Other values (211) 511
79.1%
None
ValueCountFrequency (%)
㈜ 2
100.0%

업종
Categorical

Distinct25
Distinct (%)28.1%
Missing0
Missing (%)0.0%
Memory size844.0 B
음식점
41 
자동차정비
9 
세탁소
5 
미용업
5 
이용업
 
4
Other values (20)
25 

Length

Max length5
Median length3
Mean length3.1797753
Min length2

Unique

Unique17 ?
Unique (%)19.1%

Sample

1st row설비자재업
2nd row음식점
3rd row음식점
4th row음식점
5th row음식점

Common Values

ValueCountFrequency (%)
음식점 41
46.1%
자동차정비 9
 
10.1%
세탁소 5
 
5.6%
미용업 5
 
5.6%
이용업 4
 
4.5%
꽃집 4
 
4.5%
기타 2
 
2.2%
화장품 2
 
2.2%
설비자재업 1
 
1.1%
액세서리 1
 
1.1%
Other values (15) 15
 
16.9%

Length

2024-03-23T04:26:57.446437image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
음식점 41
46.1%
자동차정비 9
 
10.1%
세탁소 5
 
5.6%
미용업 5
 
5.6%
이용업 4
 
4.5%
꽃집 4
 
4.5%
기타 2
 
2.2%
화장품 2
 
2.2%
식품제조 1
 
1.1%
이삿짐 1
 
1.1%
Other values (15) 15
 
16.9%

도로명 주소
Text

Distinct88
Distinct (%)98.9%
Missing0
Missing (%)0.0%
Memory size844.0 B
2024-03-23T04:26:58.188842image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length36
Median length31
Mean length24.05618
Min length16

Characters and Unicode

Total characters2141
Distinct characters96
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

Unique87 ?
Unique (%)97.8%

Sample

1st row대구광역시 동구 화랑로 499 (용계동)
2nd row대구광역시 동구 효목로1길 21 (효목동)
3rd row대구광역시 동구 반야월로32길 61-2 (신기동)
4th row대구광역시 동구 팔공로24길 19-10 (불로동)
5th row대구광역시 동구 아양로49길 2 (신암동)
ValueCountFrequency (%)
대구광역시 89
20.1%
동구 89
20.1%
효목동 14
 
3.2%
신천동 12
 
2.7%
불로동 8
 
1.8%
용수동 8
 
1.8%
팔공산로185길 8
 
1.8%
효신로 5
 
1.1%
팔공로51길 5
 
1.1%
11 4
 
0.9%
Other values (146) 200
45.2%
2024-03-23T04:26:59.775923image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
357
16.7%
동 199
 
9.3%
구 178
 
8.3%
로 97
 
4.5%
대 90
 
4.2%
시 90
 
4.2%
역 90
 
4.2%
광 89
 
4.2%
1 86
 
4.0%
( 84
 
3.9%
Other values (86) 781
36.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1251
58.4%
Space Separator 357
 
16.7%
Decimal Number 337
 
15.7%
Open Punctuation 84
 
3.9%
Close Punctuation 84
 
3.9%
Dash Punctuation 14
 
0.7%
Other Punctuation 14
 
0.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 199
15.9%
구 178
14.2%
로 97
 
7.8%
대 90
 
7.2%
시 90
 
7.2%
역 90
 
7.2%
광 89
 
7.1%
길 54
 
4.3%
신 38
 
3.0%
효 32
 
2.6%
Other values (71) 294
23.5%
Decimal Number
ValueCountFrequency (%)
1 86
25.5%
2 51
15.1%
5 45
13.4%
3 32
 
9.5%
9 26
 
7.7%
6 24
 
7.1%
8 23
 
6.8%
4 20
 
5.9%
0 18
 
5.3%
7 12
 
3.6%
Space Separator
ValueCountFrequency (%)
357
100.0%
Open Punctuation
ValueCountFrequency (%)
( 84
100.0%
Close Punctuation
ValueCountFrequency (%)
) 84
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 14
100.0%
Other Punctuation
ValueCountFrequency (%)
, 14
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1251
58.4%
Common 890
41.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 199
15.9%
구 178
14.2%
로 97
 
7.8%
대 90
 
7.2%
시 90
 
7.2%
역 90
 
7.2%
광 89
 
7.1%
길 54
 
4.3%
신 38
 
3.0%
효 32
 
2.6%
Other values (71) 294
23.5%
Common
ValueCountFrequency (%)
357
40.1%
1 86
 
9.7%
( 84
 
9.4%
) 84
 
9.4%
2 51
 
5.7%
5 45
 
5.1%
3 32
 
3.6%
9 26
 
2.9%
6 24
 
2.7%
8 23
 
2.6%
Other values (5) 78
 
8.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1251
58.4%
ASCII 890
41.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
357
40.1%
1 86
 
9.7%
( 84
 
9.4%
) 84
 
9.4%
2 51
 
5.7%
5 45
 
5.1%
3 32
 
3.6%
9 26
 
2.9%
6 24
 
2.7%
8 23
 
2.6%
Other values (5) 78
 
8.8%
Hangul
ValueCountFrequency (%)
동 199
15.9%
구 178
14.2%
로 97
 
7.8%
대 90
 
7.2%
시 90
 
7.2%
역 90
 
7.2%
광 89
 
7.1%
길 54
 
4.3%
신 38
 
3.0%
효 32
 
2.6%
Other values (71) 294
23.5%

연락처
Text

MISSING 

Distinct78
Distinct (%)100.0%
Missing11
Missing (%)12.4%
Memory size844.0 B
2024-03-23T04:27:00.891768image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.025641
Min length12

Characters and Unicode

Total characters938
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

Unique78 ?
Unique (%)100.0%

Sample

1st row053-984-9132
2nd row053-743-1532
3rd row053-964-3117
4th row053-983-3477
5th row053-985-5888
ValueCountFrequency (%)
053-741-3986 1
 
1.3%
053-952-0477 1
 
1.3%
053-982-0128 1
 
1.3%
053-957-1335 1
 
1.3%
053-744-1400 1
 
1.3%
053-201-0827 1
 
1.3%
053-982-7947 1
 
1.3%
053-982-0077 1
 
1.3%
053-985-4082 1
 
1.3%
053-982-1755 1
 
1.3%
Other values (68) 68
87.2%
2024-03-23T04:27:02.586903image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 156
16.6%
5 139
14.8%
0 130
13.9%
3 122
13.0%
9 80
8.5%
8 68
7.2%
7 58
 
6.2%
4 52
 
5.5%
1 51
 
5.4%
6 42
 
4.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 782
83.4%
Dash Punctuation 156
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 139
17.8%
0 130
16.6%
3 122
15.6%
9 80
10.2%
8 68
8.7%
7 58
7.4%
4 52
 
6.6%
1 51
 
6.5%
6 42
 
5.4%
2 40
 
5.1%
Dash Punctuation
ValueCountFrequency (%)
- 156
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 938
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 156
16.6%
5 139
14.8%
0 130
13.9%
3 122
13.0%
9 80
8.5%
8 68
7.2%
7 58
 
6.2%
4 52
 
5.5%
1 51
 
5.4%
6 42
 
4.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 938
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 156
16.6%
5 139
14.8%
0 130
13.9%
3 122
13.0%
9 80
8.5%
8 68
7.2%
7 58
 
6.2%
4 52
 
5.5%
1 51
 
5.4%
6 42
 
4.5%

할인내용(할인율)
Categorical

Distinct41
Distinct (%)46.1%
Missing0
Missing (%)0.0%
Memory size844.0 B
전체품목10%
18 
전체품목 5%
14 
전체품목 10%
12 
10%
4 
5%
 
3
Other values (36)
38 

Length

Max length60
Median length54
Mean length10.595506
Min length2

Unique

Unique34 ?
Unique (%)38.2%

Sample

1st row전체품목10%
2nd row전체품목 5%
3rd row국밥 500원 할인
4th row전체품목10%
5th row전체품목 5%

Common Values

ValueCountFrequency (%)
전체품목10% 18
20.2%
전체품목 5% 14
15.7%
전체품목 10% 12
 
13.5%
10% 4
 
4.5%
5% 3
 
3.4%
정비공임 10% 2
 
2.2%
전체품목 5% 할인 2
 
2.2%
전체품목20% 1
 
1.1%
매장이용고객에 한하여 5% 할인 1
 
1.1%
김치구매 5% 할인 1
 
1.1%
Other values (31) 31
34.8%

Length

2024-03-23T04:27:03.261568image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
전체품목 35
17.2%
10 26
 
12.8%
5 25
 
12.3%
전체품목10 18
 
8.9%
할인 11
 
5.4%
20 4
 
2.0%
전품목 3
 
1.5%
공임 3
 
1.5%
제외 3
 
1.5%
및 2
 
1.0%
Other values (68) 73
36.0%

지정일자
Date

Distinct19
Distinct (%)21.3%
Missing0
Missing (%)0.0%
Memory size844.0 B
Minimum2013-03-29 00:00:00
Maximum2024-02-29 00:00:00
2024-03-23T04:27:03.734660image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T04:27:04.438068image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)

Correlations

2024-03-23T04:27:04.862690image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
업소명업종도로명 주소연락처할인내용(할인율)지정일자
업소명1.0001.0001.0001.0001.0001.000
업종1.0001.0001.0001.0000.9160.000
도로명 주소1.0001.0001.0001.0000.9410.983
연락처1.0001.0001.0001.0001.0001.000
할인내용(할인율)1.0000.9160.9411.0001.0000.954
지정일자1.0000.0000.9831.0000.9541.000
2024-03-23T04:27:05.237469image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
할인내용(할인율)업종
할인내용(할인율)1.0000.394
업종0.3941.000
2024-03-23T04:27:05.500188image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
업종할인내용(할인율)
업종1.0000.394
할인내용(할인율)0.3941.000

Missing values

2024-03-23T04:26:55.308581image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-23T04:26:55.510434image/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

업소명업종도로명 주소연락처할인내용(할인율)지정일자
0대광상사설비자재업대구광역시 동구 화랑로 499 (용계동)053-984-9132전체품목10%2015-04-20
1큰집삼계탕음식점대구광역시 동구 효목로1길 21 (효목동)053-743-1532전체품목 5%2015-04-20
2부부식당음식점대구광역시 동구 반야월로32길 61-2 (신기동)053-964-3117국밥 500원 할인2015-04-20
3태종대식당음식점대구광역시 동구 팔공로24길 19-10 (불로동)053-983-3477전체품목10%2015-04-20
4옛날그맛짜장음식점대구광역시 동구 아양로49길 2 (신암동)053-985-5888전체품목 5%2015-04-20
5영남향기세탁(영남세탁)세탁소대구광역시 동구 동촌로 190 (방촌동, 영남네오빌)053-983-6466전체품목10%2015-04-20
6스타미용실미용업대구광역시 동구 팔공로24길 19-7 (불로동)<NA>전체품목 10%2015-04-20
7대성헤어명가이용업대구광역시 동구 해동로 129 (입석동)053-984-0411전체품목10%2015-04-20
8나루터 세탁소세탁소대구광역시 동구 동부로32길 87 (신천동)053-754-5535전체품목 10%2015-04-20
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