Overview

Dataset statistics

Number of variables4
Number of observations45
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.5 KiB
Average record size in memory34.8 B

Variable types

Categorical1
Text3

Dataset

Description대구광역시 서구 대부업 현황 데이터입니다. 서구내 대부업 등록신청사업, 등록증번호, 상호, 소재지 데이터입니다.
Author대구광역시 서구
URLhttps://www.data.go.kr/data/15092731/fileData.do

Alerts

등록증번호 has unique valuesUnique

Reproduction

Analysis started2024-03-15 01:20:11.861680
Analysis finished2024-03-15 01:20:12.708520
Duration0.85 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

등록신청사업
Categorical

Distinct2
Distinct (%)4.4%
Missing0
Missing (%)0.0%
Memory size488.0 B
대부업
29 
대부중개업
16 

Length

Max length5
Median length3
Mean length3.7111111
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row대부중개업
2nd row대부업
3rd row대부업
4th row대부업
5th row대부중개업

Common Values

ValueCountFrequency (%)
대부업 29
64.4%
대부중개업 16
35.6%

Length

2024-03-15T10:20:12.844995image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T10:20:13.238909image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
대부업 29
64.4%
대부중개업 16
35.6%

등록증번호
Text

UNIQUE 

Distinct45
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size488.0 B
2024-03-15T10:20:13.940334image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length15
Median length14
Mean length14.311111
Min length14

Characters and Unicode

Total characters644
Distinct characters14
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique45 ?
Unique (%)100.0%

Sample

1st row2023-대구서구-0019
2nd row2023-대구서구-0018
3rd row2023-대구서구-0017
4th row2023-대구서구-0016
5th row2023-대구서구-0015
ValueCountFrequency (%)
2023-대구서구-0019 1
 
2.2%
2022-대구서구-0006 1
 
2.2%
2022-대구서구-0004 1
 
2.2%
2022-대구서구-0003 1
 
2.2%
2022-대구서구-0002 1
 
2.2%
2021-대구서구-0009 1
 
2.2%
2021-대구서구-0004 1
 
2.2%
2021-대구서구-0003 1
 
2.2%
2021-대구서구-0002 1
 
2.2%
2021-대구서구-00001 1
 
2.2%
Other values (35) 35
77.8%
2024-03-15T10:20:15.066306image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 182
28.3%
2 97
15.1%
- 90
14.0%
구 90
14.0%
대 45
 
7.0%
서 45
 
7.0%
1 35
 
5.4%
3 23
 
3.6%
9 10
 
1.6%
8 7
 
1.1%
Other values (4) 20
 
3.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 374
58.1%
Other Letter 180
28.0%
Dash Punctuation 90
 
14.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 182
48.7%
2 97
25.9%
1 35
 
9.4%
3 23
 
6.1%
9 10
 
2.7%
8 7
 
1.9%
7 6
 
1.6%
4 6
 
1.6%
5 5
 
1.3%
6 3
 
0.8%
Other Letter
ValueCountFrequency (%)
구 90
50.0%
대 45
25.0%
서 45
25.0%
Dash Punctuation
ValueCountFrequency (%)
- 90
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 464
72.0%
Hangul 180
 
28.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 182
39.2%
2 97
20.9%
- 90
19.4%
1 35
 
7.5%
3 23
 
5.0%
9 10
 
2.2%
8 7
 
1.5%
7 6
 
1.3%
4 6
 
1.3%
5 5
 
1.1%
Hangul
ValueCountFrequency (%)
구 90
50.0%
대 45
25.0%
서 45
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 464
72.0%
Hangul 180
 
28.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 182
39.2%
2 97
20.9%
- 90
19.4%
1 35
 
7.5%
3 23
 
5.0%
9 10
 
2.2%
8 7
 
1.5%
7 6
 
1.3%
4 6
 
1.3%
5 5
 
1.1%
Hangul
ValueCountFrequency (%)
구 90
50.0%
대 45
25.0%
서 45
25.0%

상호
Text

Distinct34
Distinct (%)75.6%
Missing0
Missing (%)0.0%
Memory size488.0 B
2024-03-15T10:20:15.681498image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length11
Mean length6.5333333
Min length4

Characters and Unicode

Total characters294
Distinct characters86
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique23 ?
Unique (%)51.1%

Sample

1st rowDK파이낸셜대부
2nd rowDK파이낸셜대부
3rd row더퍼스트대부
4th row열정대부
5th row열정대부
ValueCountFrequency (%)
대부 8
 
13.1%
대부중개 3
 
4.9%
dk파이낸셜대부 2
 
3.3%
대한금융대부 2
 
3.3%
파이낸셜 2
 
3.3%
the드림대부 2
 
3.3%
gmg대부 2
 
3.3%
열정대부 2
 
3.3%
강산 2
 
3.3%
서민 2
 
3.3%
Other values (28) 34
55.7%
2024-03-15T10:20:16.549473image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
대 50
 
17.0%
부 45
 
15.3%
16
 
5.4%
이 6
 
2.0%
G 5
 
1.7%
파 5
 
1.7%
낸 5
 
1.7%
셜 5
 
1.7%
중 5
 
1.7%
개 5
 
1.7%
Other values (76) 147
50.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 229
77.9%
Uppercase Letter 35
 
11.9%
Space Separator 16
 
5.4%
Other Punctuation 5
 
1.7%
Lowercase Letter 5
 
1.7%
Decimal Number 4
 
1.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
대 50
21.8%
부 45
19.7%
이 6
 
2.6%
파 5
 
2.2%
낸 5
 
2.2%
셜 5
 
2.2%
중 5
 
2.2%
개 5
 
2.2%
한 4
 
1.7%
서 4
 
1.7%
Other values (53) 95
41.5%
Uppercase Letter
ValueCountFrequency (%)
G 5
14.3%
S 4
11.4%
H 3
8.6%
F 3
8.6%
M 3
8.6%
E 3
8.6%
K 2
 
5.7%
C 2
 
5.7%
D 2
 
5.7%
T 2
 
5.7%
Other values (5) 6
17.1%
Lowercase Letter
ValueCountFrequency (%)
h 2
40.0%
e 2
40.0%
w 1
20.0%
Other Punctuation
ValueCountFrequency (%)
· 4
80.0%
& 1
 
20.0%
Decimal Number
ValueCountFrequency (%)
4 2
50.0%
2 2
50.0%
Space Separator
ValueCountFrequency (%)
16
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 229
77.9%
Latin 40
 
13.6%
Common 25
 
8.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
대 50
21.8%
부 45
19.7%
이 6
 
2.6%
파 5
 
2.2%
낸 5
 
2.2%
셜 5
 
2.2%
중 5
 
2.2%
개 5
 
2.2%
한 4
 
1.7%
서 4
 
1.7%
Other values (53) 95
41.5%
Latin
ValueCountFrequency (%)
G 5
12.5%
S 4
 
10.0%
H 3
 
7.5%
F 3
 
7.5%
M 3
 
7.5%
E 3
 
7.5%
K 2
 
5.0%
C 2
 
5.0%
D 2
 
5.0%
T 2
 
5.0%
Other values (8) 11
27.5%
Common
ValueCountFrequency (%)
16
64.0%
· 4
 
16.0%
4 2
 
8.0%
2 2
 
8.0%
& 1
 
4.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 229
77.9%
ASCII 61
 
20.7%
None 4
 
1.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
대 50
21.8%
부 45
19.7%
이 6
 
2.6%
파 5
 
2.2%
낸 5
 
2.2%
셜 5
 
2.2%
중 5
 
2.2%
개 5
 
2.2%
한 4
 
1.7%
서 4
 
1.7%
Other values (53) 95
41.5%
ASCII
ValueCountFrequency (%)
16
26.2%
G 5
 
8.2%
S 4
 
6.6%
H 3
 
4.9%
F 3
 
4.9%
M 3
 
4.9%
E 3
 
4.9%
K 2
 
3.3%
C 2
 
3.3%
D 2
 
3.3%
Other values (12) 18
29.5%
None
ValueCountFrequency (%)
· 4
100.0%

소재지(도로명)
Text

Distinct35
Distinct (%)77.8%
Missing0
Missing (%)0.0%
Memory size488.0 B
2024-03-15T10:20:17.516664image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length46
Median length36
Mean length30.666667
Min length20

Characters and Unicode

Total characters1380
Distinct characters74
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

Unique25 ?
Unique (%)55.6%

Sample

1st row대구광역시 서구 서대구로 318 (비산동)
2nd row대구광역시 서구 서대구로 318 (비산동)
3rd row대구광역시 서구 서대구로 318-1, 2층 (비산동)
4th row대구광역시 서구 서대구로45길 59, 1층 (평리동)
5th row대구광역시 서구 서대구로45길 59, 1층 (평리동)
ValueCountFrequency (%)
대구광역시 45
 
16.2%
서구 45
 
16.2%
평리동 15
 
5.4%
비산동 13
 
4.7%
1층 12
 
4.3%
2층 9
 
3.2%
중리동 6
 
2.2%
202호 5
 
1.8%
이수빌딩 4
 
1.4%
320-1 4
 
1.4%
Other values (80) 120
43.2%
2024-03-15T10:20:18.997456image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
233
 
16.9%
구 103
 
7.5%
대 63
 
4.6%
서 63
 
4.6%
1 63
 
4.6%
2 51
 
3.7%
동 50
 
3.6%
시 47
 
3.4%
광 46
 
3.3%
로 46
 
3.3%
Other values (64) 615
44.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 755
54.7%
Decimal Number 245
 
17.8%
Space Separator 233
 
16.9%
Open Punctuation 45
 
3.3%
Close Punctuation 45
 
3.3%
Other Punctuation 39
 
2.8%
Dash Punctuation 16
 
1.2%
Uppercase Letter 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 103
13.6%
대 63
 
8.3%
서 63
 
8.3%
동 50
 
6.6%
시 47
 
6.2%
광 46
 
6.1%
로 46
 
6.1%
역 45
 
6.0%
길 29
 
3.8%
리 26
 
3.4%
Other values (48) 237
31.4%
Decimal Number
ValueCountFrequency (%)
1 63
25.7%
2 51
20.8%
3 22
 
9.0%
4 19
 
7.8%
5 19
 
7.8%
0 18
 
7.3%
6 17
 
6.9%
7 15
 
6.1%
8 12
 
4.9%
9 9
 
3.7%
Space Separator
ValueCountFrequency (%)
233
100.0%
Open Punctuation
ValueCountFrequency (%)
( 45
100.0%
Close Punctuation
ValueCountFrequency (%)
) 45
100.0%
Other Punctuation
ValueCountFrequency (%)
, 39
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 16
100.0%
Uppercase Letter
ValueCountFrequency (%)
A 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 755
54.7%
Common 623
45.1%
Latin 2
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 103
13.6%
대 63
 
8.3%
서 63
 
8.3%
동 50
 
6.6%
시 47
 
6.2%
광 46
 
6.1%
로 46
 
6.1%
역 45
 
6.0%
길 29
 
3.8%
리 26
 
3.4%
Other values (48) 237
31.4%
Common
ValueCountFrequency (%)
233
37.4%
1 63
 
10.1%
2 51
 
8.2%
( 45
 
7.2%
) 45
 
7.2%
, 39
 
6.3%
3 22
 
3.5%
4 19
 
3.0%
5 19
 
3.0%
0 18
 
2.9%
Other values (5) 69
 
11.1%
Latin
ValueCountFrequency (%)
A 2
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 755
54.7%
ASCII 625
45.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
233
37.3%
1 63
 
10.1%
2 51
 
8.2%
( 45
 
7.2%
) 45
 
7.2%
, 39
 
6.2%
3 22
 
3.5%
4 19
 
3.0%
5 19
 
3.0%
0 18
 
2.9%
Other values (6) 71
 
11.4%
Hangul
ValueCountFrequency (%)
구 103
13.6%
대 63
 
8.3%
서 63
 
8.3%
동 50
 
6.6%
시 47
 
6.2%
광 46
 
6.1%
로 46
 
6.1%
역 45
 
6.0%
길 29
 
3.8%
리 26
 
3.4%
Other values (48) 237
31.4%

Correlations

2024-03-15T10:20:19.223658image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
등록신청사업등록증번호상호소재지(도로명)
등록신청사업1.0001.0000.0000.000
등록증번호1.0001.0001.0001.000
상호0.0001.0001.0000.998
소재지(도로명)0.0001.0000.9981.000

Missing values

2024-03-15T10:20:12.315813image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-15T10:20:12.602396image/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

등록신청사업등록증번호상호소재지(도로명)
0대부중개업2023-대구서구-0019DK파이낸셜대부대구광역시 서구 서대구로 318 (비산동)
1대부업2023-대구서구-0018DK파이낸셜대부대구광역시 서구 서대구로 318 (비산동)
2대부업2023-대구서구-0017더퍼스트대부대구광역시 서구 서대구로 318-1, 2층 (비산동)
3대부업2023-대구서구-0016열정대부대구광역시 서구 서대구로45길 59, 1층 (평리동)
4대부중개업2023-대구서구-0015열정대부대구광역시 서구 서대구로45길 59, 1층 (평리동)
5대부업2023-대구서구-0014강산 대부대구광역시 서구 염색공단로 125, 2층 202호 (비산동)
6대부중개업2023-대구서구-0013강산 대부대구광역시 서구 염색공단로 125, 2층 202호 (비산동)
7대부업2023-대구서구-0012홍익대부대구광역시 서구 달서로54길 6, 7호 (원대동3가)
8대부업2023-대구서구-0011w아이티전당포대부대구광역시 서구 국채보상로 239, 3층 (평리동)
9대부중개업2023-대구서구-0010포인트론 대부중개대구광역시 서구 국채보상로42길 18, 1층 (평리동)
등록신청사업등록증번호상호소재지(도로명)
35대부중개업2019-대구서구-00015강화대부중개대구광역시 서구 북비산로65길 34, 1층 (비산동)
36대부업2019-대구서구-00011한일론대부대구광역시 서구 달구벌대로 1707, 2동 10호 (내당동, 내당광장1차아파트)
37대부중개업2019-대구서구-00008대영대부대구광역시 서구 북비산로81길 5-1 (비산동)
38대부업2019-대구서구-00007대영대부대구광역시 서구 북비산로81길 5-1 (비산동)
39대부업2019-대구서구-00005신초록대부대구광역시 서구 통학로30길 5-21 (평리동)
40대부업2019-대구서구-00004FINGER COFFEE 대부대구광역시 서구 서대구로15길 35, 상가동 1층 3,5호 (중리동, 신세계아파트)
41대부중개업2018-대구서구-00013주식회사 대한금융대부대구광역시 서구 북비산로31길 11-64, 1층 (평리동)
42대부업2018-대구서구-00012주식회사 대한금융대부대구광역시 서구 북비산로31길 11-64, 1층 (평리동)
43대부업2018-대구서구-00010기린대부대구광역시 서구 달서로27길 6, 2층 (비산동)
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