Overview

Dataset statistics

Number of variables4
Number of observations21
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory804.0 B
Average record size in memory38.3 B

Variable types

Text3
DateTime1

Dataset

Description대구광역시 남구_새마을금고 현황_20231110
Author대구광역시 남구
URLhttp://data.daegu.go.kr/open/data/dataView.do?dataSetId=3072981&dataSetDetailId=30729811b83dd2649cde&provdMethod=FILE

Alerts

데이터기준일자 has constant value ""Constant
기관명 has unique valuesUnique
소재지 has unique valuesUnique
전화번호 has unique valuesUnique

Reproduction

Analysis started2023-12-22 21:15:34.338228
Analysis finished2023-12-22 21:15:36.489218
Duration2.15 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

기관명
Text

UNIQUE 

Distinct21
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size300.0 B
2023-12-22T21:15:37.111337image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length15
Median length13
Mean length12.666667
Min length11

Characters and Unicode

Total characters266
Distinct characters35
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique21 ?
Unique (%)100.0%

Sample

1st row이천새마을금고(본점)
2nd row이천새마을금고(제1지점)
3rd row봉덕2동새마을금고(본점)
4th row봉덕2동새마을금고(효성)
5th row봉덕2동새마을금고(연립)
ValueCountFrequency (%)
이천새마을금고(본점 1
 
4.8%
남대구새마을금고(본점 1
 
4.8%
구일새마을금고(본점 1
 
4.8%
명덕새마을금고(본점 1
 
4.8%
계명새마을금고(본점 1
 
4.8%
남구희망새마을금고(제3지점 1
 
4.8%
남구희망새마을금고(제2지점 1
 
4.8%
남구희망새마을금고(제1지점 1
 
4.8%
남구희망새마을금고(본점 1
 
4.8%
대명새마을금고(본점 1
 
4.8%
Other values (11) 11
52.4%
2023-12-22T21:15:38.894532image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
새 21
 
7.9%
마 21
 
7.9%
을 21
 
7.9%
금 21
 
7.9%
고 21
 
7.9%
( 21
 
7.9%
) 21
 
7.9%
점 15
 
5.6%
본 10
 
3.8%
동 8
 
3.0%
Other values (25) 86
32.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 211
79.3%
Open Punctuation 21
 
7.9%
Close Punctuation 21
 
7.9%
Decimal Number 13
 
4.9%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
새 21
 
10.0%
마 21
 
10.0%
을 21
 
10.0%
금 21
 
10.0%
고 21
 
10.0%
점 15
 
7.1%
본 10
 
4.7%
동 8
 
3.8%
덕 7
 
3.3%
구 7
 
3.3%
Other values (20) 59
28.0%
Decimal Number
ValueCountFrequency (%)
1 5
38.5%
2 4
30.8%
3 4
30.8%
Open Punctuation
ValueCountFrequency (%)
( 21
100.0%
Close Punctuation
ValueCountFrequency (%)
) 21
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 211
79.3%
Common 55
 
20.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
새 21
 
10.0%
마 21
 
10.0%
을 21
 
10.0%
금 21
 
10.0%
고 21
 
10.0%
점 15
 
7.1%
본 10
 
4.7%
동 8
 
3.8%
덕 7
 
3.3%
구 7
 
3.3%
Other values (20) 59
28.0%
Common
ValueCountFrequency (%)
( 21
38.2%
) 21
38.2%
1 5
 
9.1%
2 4
 
7.3%
3 4
 
7.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 211
79.3%
ASCII 55
 
20.7%

Most frequent character per block

Hangul
ValueCountFrequency (%)
새 21
 
10.0%
마 21
 
10.0%
을 21
 
10.0%
금 21
 
10.0%
고 21
 
10.0%
점 15
 
7.1%
본 10
 
4.7%
동 8
 
3.8%
덕 7
 
3.3%
구 7
 
3.3%
Other values (20) 59
28.0%
ASCII
ValueCountFrequency (%)
( 21
38.2%
) 21
38.2%
1 5
 
9.1%
2 4
 
7.3%
3 4
 
7.3%

소재지
Text

UNIQUE 

Distinct21
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size300.0 B
2023-12-22T21:15:39.978571image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length19
Mean length18.238095
Min length15

Characters and Unicode

Total characters383
Distinct characters48
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique21 ?
Unique (%)100.0%

Sample

1st row대구광역시 남구 대봉로38길 42
2nd row대구광역시 남구 대봉로 95
3rd row대구광역시 남구 중앙대로22길 239-1
4th row대구광역시 남구 신촌길 81
5th row대구광역시 남구 앞산순환로 706
ValueCountFrequency (%)
대구광역시 21
25.0%
남구 21
25.0%
42 2
 
2.4%
대봉로 2
 
2.4%
중앙대로22길 2
 
2.4%
명덕로 2
 
2.4%
대명로 1
 
1.2%
안지랑로17길 1
 
1.2%
85 1
 
1.2%
관문시장1길 1
 
1.2%
Other values (30) 30
35.7%
2023-12-22T21:15:41.597790image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
80
20.9%
구 42
11.0%
대 31
 
8.1%
시 22
 
5.7%
역 21
 
5.5%
광 21
 
5.5%
남 21
 
5.5%
2 17
 
4.4%
로 16
 
4.2%
길 13
 
3.4%
Other values (38) 99
25.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 229
59.8%
Space Separator 80
 
20.9%
Decimal Number 70
 
18.3%
Dash Punctuation 4
 
1.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 42
18.3%
대 31
13.5%
시 22
9.6%
역 21
9.2%
광 21
9.2%
남 21
9.2%
로 16
 
7.0%
길 13
 
5.7%
명 5
 
2.2%
앙 4
 
1.7%
Other values (26) 33
14.4%
Decimal Number
ValueCountFrequency (%)
2 17
24.3%
1 11
15.7%
4 8
11.4%
8 6
 
8.6%
5 6
 
8.6%
3 6
 
8.6%
0 5
 
7.1%
6 4
 
5.7%
7 4
 
5.7%
9 3
 
4.3%
Space Separator
ValueCountFrequency (%)
80
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 229
59.8%
Common 154
40.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 42
18.3%
대 31
13.5%
시 22
9.6%
역 21
9.2%
광 21
9.2%
남 21
9.2%
로 16
 
7.0%
길 13
 
5.7%
명 5
 
2.2%
앙 4
 
1.7%
Other values (26) 33
14.4%
Common
ValueCountFrequency (%)
80
51.9%
2 17
 
11.0%
1 11
 
7.1%
4 8
 
5.2%
8 6
 
3.9%
5 6
 
3.9%
3 6
 
3.9%
0 5
 
3.2%
6 4
 
2.6%
7 4
 
2.6%
Other values (2) 7
 
4.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 229
59.8%
ASCII 154
40.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
80
51.9%
2 17
 
11.0%
1 11
 
7.1%
4 8
 
5.2%
8 6
 
3.9%
5 6
 
3.9%
3 6
 
3.9%
0 5
 
3.2%
6 4
 
2.6%
7 4
 
2.6%
Other values (2) 7
 
4.5%
Hangul
ValueCountFrequency (%)
구 42
18.3%
대 31
13.5%
시 22
9.6%
역 21
9.2%
광 21
9.2%
남 21
9.2%
로 16
 
7.0%
길 13
 
5.7%
명 5
 
2.2%
앙 4
 
1.7%
Other values (26) 33
14.4%

전화번호
Text

UNIQUE 

Distinct21
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size300.0 B
2023-12-22T21:15:42.719809image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters252
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

Unique21 ?
Unique (%)100.0%

Sample

1st row053-476-2001
2nd row053-476-2003
3rd row053-471-1636
4th row053-471-4389
5th row053-476-5525
ValueCountFrequency (%)
053-476-2001 1
 
4.8%
053-654-6066 1
 
4.8%
053-651-6100 1
 
4.8%
053-476-8001 1
 
4.8%
053-626-0651 1
 
4.8%
053-264-2008 1
 
4.8%
053-628-7001 1
 
4.8%
053-656-4976 1
 
4.8%
053-628-2008 1
 
4.8%
053-627-8795 1
 
4.8%
Other values (11) 11
52.4%
2023-12-22T21:15:45.004503image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 42
16.7%
0 40
15.9%
5 35
13.9%
6 31
12.3%
3 25
9.9%
4 20
7.9%
2 18
7.1%
7 14
 
5.6%
1 13
 
5.2%
8 11
 
4.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 210
83.3%
Dash Punctuation 42
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 40
19.0%
5 35
16.7%
6 31
14.8%
3 25
11.9%
4 20
9.5%
2 18
8.6%
7 14
 
6.7%
1 13
 
6.2%
8 11
 
5.2%
9 3
 
1.4%
Dash Punctuation
ValueCountFrequency (%)
- 42
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 252
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 42
16.7%
0 40
15.9%
5 35
13.9%
6 31
12.3%
3 25
9.9%
4 20
7.9%
2 18
7.1%
7 14
 
5.6%
1 13
 
5.2%
8 11
 
4.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 252
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 42
16.7%
0 40
15.9%
5 35
13.9%
6 31
12.3%
3 25
9.9%
4 20
7.9%
2 18
7.1%
7 14
 
5.6%
1 13
 
5.2%
8 11
 
4.4%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)4.8%
Missing0
Missing (%)0.0%
Memory size300.0 B
Minimum2023-11-10 00:00:00
Maximum2023-11-10 00:00:00
2023-12-22T21:15:46.000069image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-22T21:15:46.571126image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Correlations

2023-12-22T21:15:46.965901image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
기관명소재지전화번호
기관명1.0001.0001.000
소재지1.0001.0001.000
전화번호1.0001.0001.000

Missing values

2023-12-22T21:15:35.471660image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-22T21:15:36.192636image/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

기관명소재지전화번호데이터기준일자
0이천새마을금고(본점)대구광역시 남구 대봉로38길 42053-476-20012023-11-10
1이천새마을금고(제1지점)대구광역시 남구 대봉로 95053-476-20032023-11-10
2봉덕2동새마을금고(본점)대구광역시 남구 중앙대로22길 239-1053-471-16362023-11-10
3봉덕2동새마을금고(효성)대구광역시 남구 신촌길 81053-471-43892023-11-10
4봉덕2동새마을금고(연립)대구광역시 남구 앞산순환로 706053-476-55252023-11-10
5봉덕3동새마을금고(본점)대구광역시 남구 삼정2길 28053-471-55272023-11-10
6봉덕3동새마을금고(제1지점)대구광역시 남구 중앙대로22길 46053-476-04282023-11-10
7하나새마을금고(본점)대구광역시 남구 명덕로 130053-621-06232023-11-10
8하나새마을금고(경상)대구광역시 남구 중앙대로31길 165053-624-04412023-11-10
9하나새마을금고(봉덕1동)대구광역시 남구 대봉로 78-1053-474-55512023-11-10
기관명소재지전화번호데이터기준일자
11남대구새마을금고(본점)대구광역시 남구 두류공원로 100053-654-60662023-11-10
12대명새마을금고(본점)대구광역시 남구 대명로57길 10-2053-627-87952023-11-10
13남구희망새마을금고(본점)대구광역시 남구 안지랑로17길 85053-628-20082023-11-10
14남구희망새마을금고(제1지점)대구광역시 남구 관문시장1길 41053-656-49762023-11-10
15남구희망새마을금고(제2지점)대구광역시 남구 대명로25길 42053-628-70012023-11-10
16남구희망새마을금고(제3지점)대구광역시 남구 대명로 34053-264-20082023-11-10
17계명새마을금고(본점)대구광역시 남구 현충로 222053-626-06512023-11-10
18명덕새마을금고(본점)대구광역시 남구 중앙대로42길 46-2053-476-80012023-11-10
19구일새마을금고(본점)대구광역시 남구 큰골길 2053-651-61002023-11-10
20구일새마을금고(대명1동)대구광역시 남구 장전3길 89053-624-88542023-11-10