Overview

Dataset statistics

Number of variables5
Number of observations31
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.4 KiB
Average record size in memory45.3 B

Variable types

Numeric1
Categorical1
Text2
DateTime1

Dataset

Description목포시에 소재하는 대부업현황데이터입니다. 이 데이터에는 업체명, 등록일자, 대표자소재지, 등록일자를 포함하고 있습니다.
URLhttps://www.data.go.kr/data/3079101/fileData.do

Alerts

순번 is highly overall correlated with 구분High correlation
구분 is highly overall correlated with 순번High correlation
순번 has unique valuesUnique
상호 has unique valuesUnique

Reproduction

Analysis started2023-12-12 13:27:10.860416
Analysis finished2023-12-12 13:27:11.440908
Duration0.58 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

순번
Real number (ℝ)

HIGH CORRELATION  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
2023-12-12T22:27:11.505796image/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
2023-12-12T22:27:11.652458image/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%

구분
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)6.5%
Missing0
Missing (%)0.0%
Memory size380.0 B
대부업
24 
대부·대부중개업
7 

Length

Max length8
Median length3
Mean length4.1290323
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row대부·대부중개업
2nd row대부업
3rd row대부업
4th row대부업
5th row대부업

Common Values

ValueCountFrequency (%)
대부업 24
77.4%
대부·대부중개업 7
 
22.6%

Length

2023-12-12T22:27:12.132427image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T22:27:12.243672image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
대부업 24
77.4%
대부·대부중개업 7
 
22.6%

상호
Text

UNIQUE 

Distinct31
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size380.0 B
2023-12-12T22:27:12.421675image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length15
Median length12
Mean length7.9354839
Min length2

Characters and Unicode

Total characters246
Distinct characters90
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

Unique31 ?
Unique (%)100.0%

Sample

1st row(주)케이전당포대부·대부중개
2nd row소망가득대부
3rd row스마일사랑 대부
4th row다이아몬드 대부
5th row유한회사 세움땅 대부법인
ValueCountFrequency (%)
유한회사 4
 
9.8%
대부 3
 
7.3%
대부·대부중개 2
 
4.9%
주)케이전당포대부·대부중개 1
 
2.4%
한일대부 1
 
2.4%
jh 1
 
2.4%
한국무방문월변대부 1
 
2.4%
농지대부사 1
 
2.4%
역앞전당포대부 1
 
2.4%
드림대부 1
 
2.4%
Other values (25) 25
61.0%
2023-12-12T22:27:12.795511image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
대 37
 
15.0%
부 37
 
15.0%
10
 
4.1%
전 8
 
3.3%
· 7
 
2.8%
한 7
 
2.8%
개 7
 
2.8%
중 7
 
2.8%
사 7
 
2.8%
포 7
 
2.8%
Other values (80) 112
45.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 223
90.7%
Space Separator 10
 
4.1%
Other Punctuation 7
 
2.8%
Uppercase Letter 2
 
0.8%
Decimal Number 2
 
0.8%
Open Punctuation 1
 
0.4%
Close Punctuation 1
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
대 37
 
16.6%
부 37
 
16.6%
전 8
 
3.6%
한 7
 
3.1%
개 7
 
3.1%
중 7
 
3.1%
사 7
 
3.1%
포 7
 
3.1%
당 7
 
3.1%
이 5
 
2.2%
Other values (72) 94
42.2%
Uppercase Letter
ValueCountFrequency (%)
J 1
50.0%
H 1
50.0%
Decimal Number
ValueCountFrequency (%)
2 1
50.0%
4 1
50.0%
Space Separator
ValueCountFrequency (%)
10
100.0%
Other Punctuation
ValueCountFrequency (%)
· 7
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 223
90.7%
Common 21
 
8.5%
Latin 2
 
0.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
대 37
 
16.6%
부 37
 
16.6%
전 8
 
3.6%
한 7
 
3.1%
개 7
 
3.1%
중 7
 
3.1%
사 7
 
3.1%
포 7
 
3.1%
당 7
 
3.1%
이 5
 
2.2%
Other values (72) 94
42.2%
Common
ValueCountFrequency (%)
10
47.6%
· 7
33.3%
( 1
 
4.8%
) 1
 
4.8%
2 1
 
4.8%
4 1
 
4.8%
Latin
ValueCountFrequency (%)
J 1
50.0%
H 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 223
90.7%
ASCII 16
 
6.5%
None 7
 
2.8%

Most frequent character per block

Hangul
ValueCountFrequency (%)
대 37
 
16.6%
부 37
 
16.6%
전 8
 
3.6%
한 7
 
3.1%
개 7
 
3.1%
중 7
 
3.1%
사 7
 
3.1%
포 7
 
3.1%
당 7
 
3.1%
이 5
 
2.2%
Other values (72) 94
42.2%
ASCII
ValueCountFrequency (%)
10
62.5%
J 1
 
6.2%
H 1
 
6.2%
( 1
 
6.2%
) 1
 
6.2%
2 1
 
6.2%
4 1
 
6.2%
None
ValueCountFrequency (%)
· 7
100.0%

소재지
Text

Distinct30
Distinct (%)96.8%
Missing0
Missing (%)0.0%
Memory size380.0 B
2023-12-12T22:27:13.071212image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length50
Median length31
Mean length28.16129
Min length21

Characters and Unicode

Total characters873
Distinct characters83
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

Unique29 ?
Unique (%)93.5%

Sample

1st row전라남도 목포시 신흥로45번길 2 (상동)
2nd row전라남도 목포시 마인계터로40번길 4, 139호 (죽동)
3rd row전라남도 목포시 마인계터로40번길 4, 140호 (죽동)
4th row전라남도 목포시 삼학로 238(산정동)
5th row전라남도 목포시 상리로9번길 13(상동)
ValueCountFrequency (%)
전라남도 31
17.8%
목포시 31
17.8%
명륜동 8
 
4.6%
영산로 8
 
4.6%
93-1 7
 
4.0%
상동 4
 
2.3%
4 4
 
2.3%
산정동 4
 
2.3%
옥암동 4
 
2.3%
3층 3
 
1.7%
Other values (63) 70
40.2%
2023-12-12T22:27:13.520742image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
143
 
16.4%
1 36
 
4.1%
남 34
 
3.9%
동 34
 
3.9%
전 32
 
3.7%
포 32
 
3.7%
3 32
 
3.7%
목 32
 
3.7%
시 31
 
3.6%
( 31
 
3.6%
Other values (73) 436
49.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 477
54.6%
Decimal Number 157
 
18.0%
Space Separator 143
 
16.4%
Open Punctuation 31
 
3.6%
Close Punctuation 31
 
3.6%
Other Punctuation 17
 
1.9%
Dash Punctuation 16
 
1.8%
Uppercase Letter 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
남 34
 
7.1%
동 34
 
7.1%
전 32
 
6.7%
포 32
 
6.7%
목 32
 
6.7%
시 31
 
6.5%
로 31
 
6.5%
라 31
 
6.5%
도 31
 
6.5%
산 20
 
4.2%
Other values (57) 169
35.4%
Decimal Number
ValueCountFrequency (%)
1 36
22.9%
3 32
20.4%
4 19
12.1%
2 17
10.8%
9 15
9.6%
0 10
 
6.4%
8 10
 
6.4%
5 8
 
5.1%
6 7
 
4.5%
7 3
 
1.9%
Space Separator
ValueCountFrequency (%)
143
100.0%
Open Punctuation
ValueCountFrequency (%)
( 31
100.0%
Close Punctuation
ValueCountFrequency (%)
) 31
100.0%
Other Punctuation
ValueCountFrequency (%)
, 17
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 16
100.0%
Uppercase Letter
ValueCountFrequency (%)
C 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 477
54.6%
Common 395
45.2%
Latin 1
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
남 34
 
7.1%
동 34
 
7.1%
전 32
 
6.7%
포 32
 
6.7%
목 32
 
6.7%
시 31
 
6.5%
로 31
 
6.5%
라 31
 
6.5%
도 31
 
6.5%
산 20
 
4.2%
Other values (57) 169
35.4%
Common
ValueCountFrequency (%)
143
36.2%
1 36
 
9.1%
3 32
 
8.1%
( 31
 
7.8%
) 31
 
7.8%
4 19
 
4.8%
2 17
 
4.3%
, 17
 
4.3%
- 16
 
4.1%
9 15
 
3.8%
Other values (5) 38
 
9.6%
Latin
ValueCountFrequency (%)
C 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 477
54.6%
ASCII 396
45.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
143
36.1%
1 36
 
9.1%
3 32
 
8.1%
( 31
 
7.8%
) 31
 
7.8%
4 19
 
4.8%
2 17
 
4.3%
, 17
 
4.3%
- 16
 
4.0%
9 15
 
3.8%
Other values (6) 39
 
9.8%
Hangul
ValueCountFrequency (%)
남 34
 
7.1%
동 34
 
7.1%
전 32
 
6.7%
포 32
 
6.7%
목 32
 
6.7%
시 31
 
6.5%
로 31
 
6.5%
라 31
 
6.5%
도 31
 
6.5%
산 20
 
4.2%
Other values (57) 169
35.4%

등록일자
Date

Distinct25
Distinct (%)80.6%
Missing0
Missing (%)0.0%
Memory size380.0 B
Minimum2020-11-18 00:00:00
Maximum2023-08-13 00:00:00
2023-12-12T22:27:13.647937image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:27:13.767202image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)

Interactions

2023-12-12T22:27:11.165746image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T22:27:13.842091image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번구분상호소재지등록일자
순번1.0000.9891.0001.0000.929
구분0.9891.0001.0001.0001.000
상호1.0001.0001.0001.0001.000
소재지1.0001.0001.0001.0000.953
등록일자0.9291.0001.0000.9531.000
2023-12-12T22:27:13.937909image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번구분
순번1.0000.571
구분0.5711.000

Missing values

2023-12-12T22:27:11.291268image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T22:27:11.391888image/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

순번구분상호소재지등록일자
01대부·대부중개업(주)케이전당포대부·대부중개전라남도 목포시 신흥로45번길 2 (상동)2023-08-02
12대부업소망가득대부전라남도 목포시 마인계터로40번길 4, 139호 (죽동)2023-02-13
23대부업스마일사랑 대부전라남도 목포시 마인계터로40번길 4, 140호 (죽동)2023-02-13
34대부업다이아몬드 대부전라남도 목포시 삼학로 238(산정동)2022-11-18
45대부업유한회사 세움땅 대부법인전라남도 목포시 상리로9번길 13(상동)2022-11-17
56대부업스마일 대부전라남도 목포시 원산로 38, 1층 (산정동)2022-11-11
67대부업밝은24시대부전라남도 목포시 영산로110번길 4-2(호남동)2020-11-18
78대부업마음사랑대부전라남도 목포시 영산로110번길 4-2(호남동)2022-02-24
89대부업유한회사 용이대부유니온전라남도 목포시 죽교천로 107-1(죽교동)2022-02-03
910대부·대부중개업바로 대부·대부중개전라남도 목포시 영산로 93-1, 568호 (명륜동)2022-01-04
순번구분상호소재지등록일자
2122대부업드림대부전라남도 목포시 상동로 31, 상동현대아파트 109동 213호 (상동)2021-02-06
2223대부업한일대부전라남도 목포시 양을로 146 (산정동)2021-01-27
2324대부업한신캐피탈대부전라남도 목포시 후광대로143번안길 4, 1층 (옥암동)2021-03-26
2425대부업로얄대부전라남도 목포시 후광대로143번안길 4 (옥암동)2021-02-06
2526대부업남해대부전라남도 목포시 산정로 78-1, 3층 (산정동)2020-12-04
2627대부업연동전당포대부전라남도 목포시 산대로 31-6 (산정동)2023-08-13
2728대부업목포전당포상품권대부전라남도 목포시 백년대로375번길 42 (옥암동)2020-12-26
2829대부업전일금융대부전라남도 목포시 평화로49번길 3-1 (상동)2023-07-10
2930대부업하당전당포대부전라남도 목포시 하당로 223 (상동)2023-06-02
3031대부업역전전당포대부전라남도 목포시 해안로259번길 48-4 (상락동2가)2023-05-22