Overview

Dataset statistics

Number of variables4
Number of observations38
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.3 KiB
Average record size in memory35.5 B

Variable types

Categorical1
Text3

Dataset

Description구미시 은행 현황
Author경상북도 구미시
URLhttps://www.data.go.kr/data/15063007/fileData.do

Alerts

전화번호 has unique valuesUnique

Reproduction

Analysis started2023-12-12 18:45:51.066815
Analysis finished2023-12-12 18:45:51.583877
Duration0.52 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

은행
Categorical

Distinct11
Distinct (%)28.9%
Missing0
Missing (%)0.0%
Memory size436.0 B
NH농협은행
8 
국민은행
5 
기업은행
5 
하나은행
5 
대구은행
4 
Other values (6)
11 

Length

Max length7
Median length4
Mean length4.5526316
Min length4

Unique

Unique4 ?
Unique (%)10.5%

Sample

1st rowNH농협은행
2nd rowNH농협은행
3rd rowNH농협은행
4th rowNH농협은행
5th rowNH농협은행

Common Values

ValueCountFrequency (%)
NH농협은행 8
21.1%
국민은행 5
13.2%
기업은행 5
13.2%
하나은행 5
13.2%
대구은행 4
10.5%
우리은행 4
10.5%
신한은행 3
 
7.9%
SC제일은행 1
 
2.6%
경남은행 1
 
2.6%
산업은행 1
 
2.6%

Length

2023-12-13T03:45:51.686993image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
nh농협은행 8
21.1%
국민은행 5
13.2%
기업은행 5
13.2%
하나은행 5
13.2%
대구은행 4
10.5%
우리은행 4
10.5%
신한은행 3
 
7.9%
sc제일은행 1
 
2.6%
경남은행 1
 
2.6%
산업은행 1
 
2.6%

지점
Text

Distinct26
Distinct (%)68.4%
Missing0
Missing (%)0.0%
Memory size436.0 B
2023-12-13T03:45:51.957491image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length8
Mean length4.8947368
Min length2

Characters and Unicode

Total characters186
Distinct characters42
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

Unique21 ?
Unique (%)55.3%

Sample

1st row구미강동지점
2nd row구미공단지점
3rd row구미남통지점
4th row구미시지부
5th row구미시청<출>
ValueCountFrequency (%)
구미 7
18.4%
구미4공단 4
 
10.5%
구미지점 2
 
5.3%
구미역 2
 
5.3%
구미인동 2
 
5.3%
구미중앙로점 1
 
2.6%
구미강동지점 1
 
2.6%
구미시청출장소 1
 
2.6%
구미인동지점 1
 
2.6%
구미공단금융센터 1
 
2.6%
Other values (16) 16
42.1%
2023-12-13T03:45:52.443865image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
구 38
20.4%
미 38
20.4%
지 11
 
5.9%
공 10
 
5.4%
단 10
 
5.4%
점 10
 
5.4%
4 6
 
3.2%
동 5
 
2.7%
융 4
 
2.2%
금 4
 
2.2%
Other values (32) 50
26.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 175
94.1%
Decimal Number 7
 
3.8%
Math Symbol 2
 
1.1%
Open Punctuation 1
 
0.5%
Close Punctuation 1
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 38
21.7%
미 38
21.7%
지 11
 
6.3%
공 10
 
5.7%
단 10
 
5.7%
점 10
 
5.7%
동 5
 
2.9%
융 4
 
2.3%
금 4
 
2.3%
출 3
 
1.7%
Other values (26) 42
24.0%
Decimal Number
ValueCountFrequency (%)
4 6
85.7%
3 1
 
14.3%
Math Symbol
ValueCountFrequency (%)
> 1
50.0%
< 1
50.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 175
94.1%
Common 11
 
5.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 38
21.7%
미 38
21.7%
지 11
 
6.3%
공 10
 
5.7%
단 10
 
5.7%
점 10
 
5.7%
동 5
 
2.9%
융 4
 
2.3%
금 4
 
2.3%
출 3
 
1.7%
Other values (26) 42
24.0%
Common
ValueCountFrequency (%)
4 6
54.5%
( 1
 
9.1%
> 1
 
9.1%
< 1
 
9.1%
3 1
 
9.1%
) 1
 
9.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 175
94.1%
ASCII 11
 
5.9%

Most frequent character per block

Hangul
ValueCountFrequency (%)
구 38
21.7%
미 38
21.7%
지 11
 
6.3%
공 10
 
5.7%
단 10
 
5.7%
점 10
 
5.7%
동 5
 
2.9%
융 4
 
2.3%
금 4
 
2.3%
출 3
 
1.7%
Other values (26) 42
24.0%
ASCII
ValueCountFrequency (%)
4 6
54.5%
( 1
 
9.1%
> 1
 
9.1%
< 1
 
9.1%
3 1
 
9.1%
) 1
 
9.1%

주소
Text

Distinct36
Distinct (%)94.7%
Missing0
Missing (%)0.0%
Memory size436.0 B
2023-12-13T03:45:52.810025image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length30
Median length24
Mean length19.473684
Min length12

Characters and Unicode

Total characters740
Distinct characters61
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

Unique34 ?
Unique (%)89.5%

Sample

1st row경상북도 구미시 인동가산로 1
2nd row경상북도 구미시 구미대로 218
3rd row경상북도 구미시 원남로 19
4th row경상북도 구미시 선산읍 선산중앙로 91
5th row경상북도 구미시 송정대로 55
ValueCountFrequency (%)
경상북도 38
22.0%
구미시 38
22.0%
공단동 4
 
2.3%
송정대로 4
 
2.3%
수출대로 4
 
2.3%
인동가산로 4
 
2.3%
송정동 3
 
1.7%
옥계동 3
 
1.7%
황상동 3
 
1.7%
구미대로 3
 
1.7%
Other values (57) 69
39.9%
2023-12-13T03:45:53.445862image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
135
18.2%
구 43
 
5.8%
미 43
 
5.8%
상 41
 
5.5%
경 39
 
5.3%
시 39
 
5.3%
북 38
 
5.1%
도 38
 
5.1%
로 36
 
4.9%
1 28
 
3.8%
Other values (51) 260
35.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 484
65.4%
Space Separator 135
 
18.2%
Decimal Number 103
 
13.9%
Open Punctuation 8
 
1.1%
Close Punctuation 8
 
1.1%
Dash Punctuation 2
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 43
 
8.9%
미 43
 
8.9%
상 41
 
8.5%
경 39
 
8.1%
시 39
 
8.1%
북 38
 
7.9%
도 38
 
7.9%
로 36
 
7.4%
동 26
 
5.4%
대 17
 
3.5%
Other values (37) 124
25.6%
Decimal Number
ValueCountFrequency (%)
1 28
27.2%
3 18
17.5%
2 12
11.7%
5 10
 
9.7%
4 9
 
8.7%
9 6
 
5.8%
7 6
 
5.8%
8 6
 
5.8%
6 5
 
4.9%
0 3
 
2.9%
Space Separator
ValueCountFrequency (%)
135
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 484
65.4%
Common 256
34.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 43
 
8.9%
미 43
 
8.9%
상 41
 
8.5%
경 39
 
8.1%
시 39
 
8.1%
북 38
 
7.9%
도 38
 
7.9%
로 36
 
7.4%
동 26
 
5.4%
대 17
 
3.5%
Other values (37) 124
25.6%
Common
ValueCountFrequency (%)
135
52.7%
1 28
 
10.9%
3 18
 
7.0%
2 12
 
4.7%
5 10
 
3.9%
4 9
 
3.5%
( 8
 
3.1%
) 8
 
3.1%
9 6
 
2.3%
7 6
 
2.3%
Other values (4) 16
 
6.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 484
65.4%
ASCII 256
34.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
135
52.7%
1 28
 
10.9%
3 18
 
7.0%
2 12
 
4.7%
5 10
 
3.9%
4 9
 
3.5%
( 8
 
3.1%
) 8
 
3.1%
9 6
 
2.3%
7 6
 
2.3%
Other values (4) 16
 
6.2%
Hangul
ValueCountFrequency (%)
구 43
 
8.9%
미 43
 
8.9%
상 41
 
8.5%
경 39
 
8.1%
시 39
 
8.1%
북 38
 
7.9%
도 38
 
7.9%
로 36
 
7.4%
동 26
 
5.4%
대 17
 
3.5%
Other values (37) 124
25.6%

전화번호
Text

UNIQUE 

Distinct38
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size436.0 B
2023-12-13T03:45:53.789229image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters456
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

Unique38 ?
Unique (%)100.0%

Sample

1st row054-476-6011
2nd row054-462-9301
3rd row054-443-3242
4th row054-481-7312
5th row054-456-7137
ValueCountFrequency (%)
054-476-6011 1
 
2.6%
054-462-2300 1
 
2.6%
054-473-1111 1
 
2.6%
054-456-0616 1
 
2.6%
054-461-4061 1
 
2.6%
054-452-4611 1
 
2.6%
054-450-4700 1
 
2.6%
054-473-7447 1
 
2.6%
054-461-1601 1
 
2.6%
054-461-0515 1
 
2.6%
Other values (28) 28
73.7%
2023-12-13T03:45:54.314887image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4 92
20.2%
- 76
16.7%
0 60
13.2%
5 59
12.9%
1 39
8.6%
6 34
 
7.5%
7 31
 
6.8%
3 24
 
5.3%
2 21
 
4.6%
9 11
 
2.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 380
83.3%
Dash Punctuation 76
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
4 92
24.2%
0 60
15.8%
5 59
15.5%
1 39
10.3%
6 34
 
8.9%
7 31
 
8.2%
3 24
 
6.3%
2 21
 
5.5%
9 11
 
2.9%
8 9
 
2.4%
Dash Punctuation
ValueCountFrequency (%)
- 76
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 456
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
4 92
20.2%
- 76
16.7%
0 60
13.2%
5 59
12.9%
1 39
8.6%
6 34
 
7.5%
7 31
 
6.8%
3 24
 
5.3%
2 21
 
4.6%
9 11
 
2.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 456
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4 92
20.2%
- 76
16.7%
0 60
13.2%
5 59
12.9%
1 39
8.6%
6 34
 
7.5%
7 31
 
6.8%
3 24
 
5.3%
2 21
 
4.6%
9 11
 
2.4%

Correlations

2023-12-13T03:45:54.479998image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
은행지점주소전화번호
은행1.0000.0000.9831.000
지점0.0001.0000.9091.000
주소0.9830.9091.0001.000
전화번호1.0001.0001.0001.000

Missing values

2023-12-13T03:45:51.407975image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T03:45:51.534900image/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

은행지점주소전화번호
0NH농협은행구미강동지점경상북도 구미시 인동가산로 1054-476-6011
1NH농협은행구미공단지점경상북도 구미시 구미대로 218054-462-9301
2NH농협은행구미남통지점경상북도 구미시 원남로 19054-443-3242
3NH농협은행구미시지부경상북도 구미시 선산읍 선산중앙로 91054-481-7312
4NH농협은행구미시청<출>경상북도 구미시 송정대로 55054-456-7137
5NH농협은행구미중앙지점경상북도 구미시 백산로 136054-451-7101
6NH농협은행구미지점경상북도 구미시 문화로 7054-452-9172
7NH농협은행동구미지점경상북도 구미시 구미대로 383054-461-6742
8SC제일은행구미경상북도 구미시 송정동 백산로 94054-454-7971
9경남은행구미경상북도 구미시 진평동 인동가산로 14054-471-3811
은행지점주소전화번호
28우리은행구미4공단지점경상북도 구미시 옥계동 산호대로 31번길 7 (옥계동)054-476-7608
29우리은행구미공단금융센터경상북도 구미시 공단동 1공단로 182 (공단동)054-461-0515
30우리은행구미인동지점경상북도 구미시 황상동 인동가산로 31 (황상동)054-473-0133
31우리은행구미지점경상북도 구미시 송정동 송정대로 120 (송정동)054-454-6761
32하나은행구미경상북도 구미시 수출대로 134 (공단동)054-461-8931
33하나은행구미4공단경상북도 구미시 산동면 신당2로 9054-471-6506
34하나은행구미엘지디스플레이(출)경상북도 구미시 3공단2로 235 모듈(애플)공장054-471-0927
35하나은행구미역경상북도 구미시 구미중앙로 85 (원평동)054-457-8292
36하나은행구미인동경상북도 구미시 인동가산로 17 (황상동)054-473-1111
37한국수출입은행구미경상북도 구미시 신평동 구미대로 350-27054-462-7103