Overview

Dataset statistics

Number of variables8
Number of observations290
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory18.5 KiB
Average record size in memory65.5 B

Variable types

Numeric1
Text5
Categorical2

Dataset

Description광주지역에 등록한 대부업체 현황에 대한 데이터로 업체명, 등록번호, 소재지, 유효기간, 대표자 등의 항목을 제공합니다. (~21년 자료)
Author광주광역시
URLhttps://www.data.go.kr/data/3083074/fileData.do

Alerts

본점여부 has constant value ""Constant
순번 has unique valuesUnique

Reproduction

Analysis started2023-12-12 13:24:19.211959
Analysis finished2023-12-12 13:24:20.018353
Duration0.81 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

순번
Real number (ℝ)

UNIQUE 

Distinct290
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean145.5
Minimum1
Maximum290
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.7 KiB
2023-12-12T22:24:20.090244image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile15.45
Q173.25
median145.5
Q3217.75
95-th percentile275.55
Maximum290
Range289
Interquartile range (IQR)144.5

Descriptive statistics

Standard deviation83.860002
Coefficient of variation (CV)0.5763574
Kurtosis-1.2
Mean145.5
Median Absolute Deviation (MAD)72.5
Skewness0
Sum42195
Variance7032.5
MonotonicityStrictly increasing
2023-12-12T22:24:20.241819image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.3%
219 1
 
0.3%
199 1
 
0.3%
198 1
 
0.3%
197 1
 
0.3%
196 1
 
0.3%
195 1
 
0.3%
194 1
 
0.3%
193 1
 
0.3%
192 1
 
0.3%
Other values (280) 280
96.6%
ValueCountFrequency (%)
1 1
0.3%
2 1
0.3%
3 1
0.3%
4 1
0.3%
5 1
0.3%
6 1
0.3%
7 1
0.3%
8 1
0.3%
9 1
0.3%
10 1
0.3%
ValueCountFrequency (%)
290 1
0.3%
289 1
0.3%
288 1
0.3%
287 1
0.3%
286 1
0.3%
285 1
0.3%
284 1
0.3%
283 1
0.3%
282 1
0.3%
281 1
0.3%

등록증번호
Text

Distinct288
Distinct (%)99.3%
Missing0
Missing (%)0.0%
Memory size2.4 KiB
2023-12-12T22:24:20.479543image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length15
Mean length12.727586
Min length9

Characters and Unicode

Total characters3691
Distinct characters22
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

Unique286 ?
Unique (%)98.6%

Sample

1st row광주 남구 제111호
2nd row광주동구-332호
3rd row광주동구-336호
4th row광주동구-338호
5th row13-광주북구-0027
ValueCountFrequency (%)
광주광산 13
 
4.2%
2018-광주북구-0016 2
 
0.7%
2012-광주동구-제015호 2
 
0.7%
22-광주서구-0008 1
 
0.3%
22-광주서구-0014 1
 
0.3%
광주 1
 
0.3%
2021-광주광산-0004 1
 
0.3%
2021-광주광산-0010 1
 
0.3%
2021-광주광산-0009 1
 
0.3%
2021-광주광산-0008 1
 
0.3%
Other values (282) 282
92.2%
2023-12-12T22:24:20.852721image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 843
22.8%
- 540
14.6%
2 405
11.0%
광 341
9.2%
1 292
 
7.9%
주 290
 
7.9%
구 239
 
6.5%
서 126
 
3.4%
3 75
 
2.0%
9 62
 
1.7%
Other values (12) 478
13.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1925
52.2%
Other Letter 1210
32.8%
Dash Punctuation 540
 
14.6%
Space Separator 16
 
0.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 843
43.8%
2 405
21.0%
1 292
 
15.2%
3 75
 
3.9%
9 62
 
3.2%
8 54
 
2.8%
4 54
 
2.8%
5 51
 
2.6%
6 46
 
2.4%
7 43
 
2.2%
Other Letter
ValueCountFrequency (%)
광 341
28.2%
주 290
24.0%
구 239
19.8%
서 126
 
10.4%
북 57
 
4.7%
산 51
 
4.2%
동 32
 
2.6%
호 27
 
2.2%
남 24
 
2.0%
제 23
 
1.9%
Dash Punctuation
ValueCountFrequency (%)
- 540
100.0%
Space Separator
ValueCountFrequency (%)
16
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2481
67.2%
Hangul 1210
32.8%

Most frequent character per script

Common
ValueCountFrequency (%)
0 843
34.0%
- 540
21.8%
2 405
16.3%
1 292
 
11.8%
3 75
 
3.0%
9 62
 
2.5%
8 54
 
2.2%
4 54
 
2.2%
5 51
 
2.1%
6 46
 
1.9%
Other values (2) 59
 
2.4%
Hangul
ValueCountFrequency (%)
광 341
28.2%
주 290
24.0%
구 239
19.8%
서 126
 
10.4%
북 57
 
4.7%
산 51
 
4.2%
동 32
 
2.6%
호 27
 
2.2%
남 24
 
2.0%
제 23
 
1.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2481
67.2%
Hangul 1210
32.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 843
34.0%
- 540
21.8%
2 405
16.3%
1 292
 
11.8%
3 75
 
3.0%
9 62
 
2.5%
8 54
 
2.2%
4 54
 
2.2%
5 51
 
2.1%
6 46
 
1.9%
Other values (2) 59
 
2.4%
Hangul
ValueCountFrequency (%)
광 341
28.2%
주 290
24.0%
구 239
19.8%
서 126
 
10.4%
북 57
 
4.7%
산 51
 
4.2%
동 32
 
2.6%
호 27
 
2.2%
남 24
 
2.0%
제 23
 
1.9%

업체명
Text

Distinct287
Distinct (%)99.0%
Missing0
Missing (%)0.0%
Memory size2.4 KiB
2023-12-12T22:24:21.172522image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length14
Mean length7.8
Min length3

Characters and Unicode

Total characters2262
Distinct characters283
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique284 ?
Unique (%)97.9%

Sample

1st row밀알대부
2nd row대성전당포대부
3rd row광명대부전당포
4th row우정대부전당포
5th row태영상사
ValueCountFrequency (%)
대부 33
 
8.5%
주식회사 31
 
7.9%
대부중개 19
 
4.9%
유한회사 7
 
1.8%
다다대부 2
 
0.5%
제이앤에스 2
 
0.5%
예스 2
 
0.5%
파트너스 2
 
0.5%
동행 2
 
0.5%
드림파이낸셜 2
 
0.5%
Other values (282) 288
73.8%
2023-12-12T22:24:21.679278image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
대 292
 
12.9%
부 283
 
12.5%
100
 
4.4%
개 79
 
3.5%
중 78
 
3.4%
주 55
 
2.4%
이 50
 
2.2%
사 44
 
1.9%
회 43
 
1.9%
스 40
 
1.8%
Other values (273) 1198
53.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2046
90.5%
Space Separator 100
 
4.4%
Uppercase Letter 57
 
2.5%
Lowercase Letter 22
 
1.0%
Close Punctuation 17
 
0.8%
Open Punctuation 17
 
0.8%
Decimal Number 3
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
대 292
 
14.3%
부 283
 
13.8%
개 79
 
3.9%
중 78
 
3.8%
주 55
 
2.7%
이 50
 
2.4%
사 44
 
2.2%
회 43
 
2.1%
스 40
 
2.0%
식 33
 
1.6%
Other values (236) 1049
51.3%
Uppercase Letter
ValueCountFrequency (%)
S 10
17.5%
J 10
17.5%
T 8
14.0%
I 5
8.8%
D 4
 
7.0%
B 3
 
5.3%
K 3
 
5.3%
P 3
 
5.3%
M 2
 
3.5%
N 1
 
1.8%
Other values (8) 8
14.0%
Lowercase Letter
ValueCountFrequency (%)
s 3
13.6%
h 3
13.6%
n 2
9.1%
e 2
9.1%
j 2
9.1%
i 2
9.1%
p 1
 
4.5%
c 1
 
4.5%
a 1
 
4.5%
f 1
 
4.5%
Other values (4) 4
18.2%
Decimal Number
ValueCountFrequency (%)
2 2
66.7%
4 1
33.3%
Space Separator
ValueCountFrequency (%)
100
100.0%
Close Punctuation
ValueCountFrequency (%)
) 17
100.0%
Open Punctuation
ValueCountFrequency (%)
( 17
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2046
90.5%
Common 137
 
6.1%
Latin 79
 
3.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
대 292
 
14.3%
부 283
 
13.8%
개 79
 
3.9%
중 78
 
3.8%
주 55
 
2.7%
이 50
 
2.4%
사 44
 
2.2%
회 43
 
2.1%
스 40
 
2.0%
식 33
 
1.6%
Other values (236) 1049
51.3%
Latin
ValueCountFrequency (%)
S 10
 
12.7%
J 10
 
12.7%
T 8
 
10.1%
I 5
 
6.3%
D 4
 
5.1%
s 3
 
3.8%
B 3
 
3.8%
h 3
 
3.8%
K 3
 
3.8%
P 3
 
3.8%
Other values (22) 27
34.2%
Common
ValueCountFrequency (%)
100
73.0%
) 17
 
12.4%
( 17
 
12.4%
2 2
 
1.5%
4 1
 
0.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2046
90.5%
ASCII 216
 
9.5%

Most frequent character per block

Hangul
ValueCountFrequency (%)
대 292
 
14.3%
부 283
 
13.8%
개 79
 
3.9%
중 78
 
3.8%
주 55
 
2.7%
이 50
 
2.4%
사 44
 
2.2%
회 43
 
2.1%
스 40
 
2.0%
식 33
 
1.6%
Other values (236) 1049
51.3%
ASCII
ValueCountFrequency (%)
100
46.3%
) 17
 
7.9%
( 17
 
7.9%
S 10
 
4.6%
J 10
 
4.6%
T 8
 
3.7%
I 5
 
2.3%
D 4
 
1.9%
s 3
 
1.4%
B 3
 
1.4%
Other values (27) 39
 
18.1%

본점여부
Categorical

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size2.4 KiB
본점
290 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
본점 290
100.0%

Length

2023-12-12T22:24:21.828717image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T22:24:21.939684image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
본점 290
100.0%

사업내용
Categorical

Distinct2
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size2.4 KiB
금전대부
209 
대부중개
81 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
금전대부 209
72.1%
대부중개 81
 
27.9%

Length

2023-12-12T22:24:22.038506image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T22:24:22.181029image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
금전대부 209
72.1%
대부중개 81
 
27.9%

유효기간
Text

Distinct209
Distinct (%)72.1%
Missing0
Missing (%)0.0%
Memory size2.4 KiB
2023-12-12T22:24:22.412330image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length21
Mean length21
Min length21

Characters and Unicode

Total characters6090
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique141 ?
Unique (%)48.6%

Sample

1st row2020-06-08~2023-06-08
2nd row2019-05-14~2022-05-14
3rd row2021-12-24~2024-12-23
4th row2019-04-29~2022-04-28
5th row2019-07-22~2022-07-22
ValueCountFrequency (%)
2020-11-16~2023-11-16 5
 
1.7%
2022-01-26~2025-01-26 4
 
1.4%
2020-10-14~2023-10-14 3
 
1.0%
2022-01-10~2025-01-10 3
 
1.0%
2020-07-29~2023-07-29 3
 
1.0%
2021-10-07~2024-10-07 3
 
1.0%
2020-12-22~2023-12-21 3
 
1.0%
2021-11-08~2024-11-08 3
 
1.0%
2020-02-03~2023-02-03 3
 
1.0%
2022-02-23~2025-02-23 3
 
1.0%
Other values (199) 257
88.6%
2023-12-12T22:24:22.856234image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 1583
26.0%
0 1363
22.4%
- 1160
19.0%
1 644
10.6%
~ 290
 
4.8%
3 231
 
3.8%
4 219
 
3.6%
9 167
 
2.7%
5 129
 
2.1%
6 112
 
1.8%
Other values (2) 192
 
3.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 4640
76.2%
Dash Punctuation 1160
 
19.0%
Math Symbol 290
 
4.8%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 1583
34.1%
0 1363
29.4%
1 644
13.9%
3 231
 
5.0%
4 219
 
4.7%
9 167
 
3.6%
5 129
 
2.8%
6 112
 
2.4%
8 100
 
2.2%
7 92
 
2.0%
Dash Punctuation
ValueCountFrequency (%)
- 1160
100.0%
Math Symbol
ValueCountFrequency (%)
~ 290
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 6090
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 1583
26.0%
0 1363
22.4%
- 1160
19.0%
1 644
10.6%
~ 290
 
4.8%
3 231
 
3.8%
4 219
 
3.6%
9 167
 
2.7%
5 129
 
2.1%
6 112
 
1.8%
Other values (2) 192
 
3.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6090
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 1583
26.0%
0 1363
22.4%
- 1160
19.0%
1 644
10.6%
~ 290
 
4.8%
3 231
 
3.8%
4 219
 
3.6%
9 167
 
2.7%
5 129
 
2.1%
6 112
 
1.8%
Other values (2) 192
 
3.2%

대표자
Text

Distinct244
Distinct (%)84.1%
Missing0
Missing (%)0.0%
Memory size2.4 KiB
2023-12-12T22:24:23.216568image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length3
Median length3
Mean length2.9862069
Min length2

Characters and Unicode

Total characters866
Distinct characters144
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique201 ?
Unique (%)69.3%

Sample

1st row박희민
2nd row홍남영
3rd row서오순
4th row김순애
5th row정국태
ValueCountFrequency (%)
박준호 3
 
1.0%
박미라 3
 
1.0%
정해숙 3
 
1.0%
신강철 2
 
0.7%
임창환 2
 
0.7%
김원철 2
 
0.7%
서은경 2
 
0.7%
심우신 2
 
0.7%
장동훈 2
 
0.7%
박재완 2
 
0.7%
Other values (234) 267
92.1%
2023-12-12T22:24:23.675337image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
김 65
 
7.5%
이 34
 
3.9%
정 32
 
3.7%
박 32
 
3.7%
영 28
 
3.2%
성 23
 
2.7%
호 22
 
2.5%
경 21
 
2.4%
현 16
 
1.8%
희 15
 
1.7%
Other values (134) 578
66.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 866
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
김 65
 
7.5%
이 34
 
3.9%
정 32
 
3.7%
박 32
 
3.7%
영 28
 
3.2%
성 23
 
2.7%
호 22
 
2.5%
경 21
 
2.4%
현 16
 
1.8%
희 15
 
1.7%
Other values (134) 578
66.7%

Most occurring scripts

ValueCountFrequency (%)
Hangul 866
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
김 65
 
7.5%
이 34
 
3.9%
정 32
 
3.7%
박 32
 
3.7%
영 28
 
3.2%
성 23
 
2.7%
호 22
 
2.5%
경 21
 
2.4%
현 16
 
1.8%
희 15
 
1.7%
Other values (134) 578
66.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 866
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
김 65
 
7.5%
이 34
 
3.9%
정 32
 
3.7%
박 32
 
3.7%
영 28
 
3.2%
성 23
 
2.7%
호 22
 
2.5%
경 21
 
2.4%
현 16
 
1.8%
희 15
 
1.7%
Other values (134) 578
66.7%

소재지(도로명)
Text

Distinct248
Distinct (%)85.5%
Missing0
Missing (%)0.0%
Memory size2.4 KiB
2023-12-12T22:24:24.056774image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length52
Median length45
Mean length32.52069
Min length20

Characters and Unicode

Total characters9431
Distinct characters238
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

Unique206 ?
Unique (%)71.0%

Sample

1st row광주광역시 남구 서동로 32-1 (서동)
2nd row광주광역시 동구 금남로 164-8 (금남로5가)
3rd row광주광역시 동구 중앙로 241-7 (계림동)
4th row광주광역시 동구 서석로 지하 56, A-31호 (금남로1가)
5th row광주광역시 북구 군왕로 52 (두암동)
ValueCountFrequency (%)
광주광역시 290
 
15.2%
서구 126
 
6.6%
북구 57
 
3.0%
치평동 56
 
2.9%
광산구 51
 
2.7%
2층 42
 
2.2%
1층 33
 
1.7%
3층 33
 
1.7%
동구 32
 
1.7%
남구 24
 
1.3%
Other values (563) 1169
61.1%
2023-12-12T22:24:24.588809image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1623
 
17.2%
광 645
 
6.8%
1 373
 
4.0%
동 361
 
3.8%
구 312
 
3.3%
주 312
 
3.3%
시 303
 
3.2%
) 294
 
3.1%
( 294
 
3.1%
로 293
 
3.1%
Other values (228) 4621
49.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 5176
54.9%
Decimal Number 1668
 
17.7%
Space Separator 1623
 
17.2%
Close Punctuation 294
 
3.1%
Open Punctuation 294
 
3.1%
Other Punctuation 292
 
3.1%
Dash Punctuation 72
 
0.8%
Uppercase Letter 12
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
광 645
 
12.5%
동 361
 
7.0%
구 312
 
6.0%
주 312
 
6.0%
시 303
 
5.9%
로 293
 
5.7%
역 290
 
5.6%
호 167
 
3.2%
층 150
 
2.9%
서 140
 
2.7%
Other values (206) 2203
42.6%
Decimal Number
ValueCountFrequency (%)
1 373
22.4%
2 280
16.8%
3 197
11.8%
0 187
11.2%
4 125
 
7.5%
5 118
 
7.1%
7 108
 
6.5%
8 95
 
5.7%
6 95
 
5.7%
9 90
 
5.4%
Uppercase Letter
ValueCountFrequency (%)
B 3
25.0%
S 3
25.0%
A 2
16.7%
K 1
 
8.3%
M 1
 
8.3%
Y 1
 
8.3%
C 1
 
8.3%
Space Separator
ValueCountFrequency (%)
1623
100.0%
Close Punctuation
ValueCountFrequency (%)
) 294
100.0%
Open Punctuation
ValueCountFrequency (%)
( 294
100.0%
Other Punctuation
ValueCountFrequency (%)
, 292
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 72
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 5176
54.9%
Common 4243
45.0%
Latin 12
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
광 645
 
12.5%
동 361
 
7.0%
구 312
 
6.0%
주 312
 
6.0%
시 303
 
5.9%
로 293
 
5.7%
역 290
 
5.6%
호 167
 
3.2%
층 150
 
2.9%
서 140
 
2.7%
Other values (206) 2203
42.6%
Common
ValueCountFrequency (%)
1623
38.3%
1 373
 
8.8%
) 294
 
6.9%
( 294
 
6.9%
, 292
 
6.9%
2 280
 
6.6%
3 197
 
4.6%
0 187
 
4.4%
4 125
 
2.9%
5 118
 
2.8%
Other values (5) 460
 
10.8%
Latin
ValueCountFrequency (%)
B 3
25.0%
S 3
25.0%
A 2
16.7%
K 1
 
8.3%
M 1
 
8.3%
Y 1
 
8.3%
C 1
 
8.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 5176
54.9%
ASCII 4255
45.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1623
38.1%
1 373
 
8.8%
) 294
 
6.9%
( 294
 
6.9%
, 292
 
6.9%
2 280
 
6.6%
3 197
 
4.6%
0 187
 
4.4%
4 125
 
2.9%
5 118
 
2.8%
Other values (12) 472
 
11.1%
Hangul
ValueCountFrequency (%)
광 645
 
12.5%
동 361
 
7.0%
구 312
 
6.0%
주 312
 
6.0%
시 303
 
5.9%
로 293
 
5.7%
역 290
 
5.6%
호 167
 
3.2%
층 150
 
2.9%
서 140
 
2.7%
Other values (206) 2203
42.6%

Interactions

2023-12-12T22:24:19.720300image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T22:24:24.699676image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번사업내용
순번1.0000.281
사업내용0.2811.000
2023-12-12T22:24:24.811348image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번사업내용
순번1.0000.212
사업내용0.2121.000

Missing values

2023-12-12T22:24:19.850321image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T22:24:19.973228image/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

순번등록증번호업체명본점여부사업내용유효기간대표자소재지(도로명)
01광주 남구 제111호밀알대부본점금전대부2020-06-08~2023-06-08박희민광주광역시 남구 서동로 32-1 (서동)
12광주동구-332호대성전당포대부본점금전대부2019-05-14~2022-05-14홍남영광주광역시 동구 금남로 164-8 (금남로5가)
23광주동구-336호광명대부전당포본점금전대부2021-12-24~2024-12-23서오순광주광역시 동구 중앙로 241-7 (계림동)
34광주동구-338호우정대부전당포본점금전대부2019-04-29~2022-04-28김순애광주광역시 동구 서석로 지하 56, A-31호 (금남로1가)
4513-광주북구-0027태영상사본점금전대부2019-07-22~2022-07-22정국태광주광역시 북구 군왕로 52 (두암동)
56광주서구-제358호화성전당포대부본점금전대부2022-02-11~2025-02-11최규언광주광역시 서구 천변좌로 238, 가동 67호 (양동, 양동시장)
672008-광주동구-제405호산수전당포대부본점금전대부2020-02-05~2023-02-04조영금광주광역시 동구 필문대로 168-4 (산수동)
782017-광주북구-0002무등전당포대부본점금전대부2019-12-20~2022-12-20이경숙광주광역시 북구 동문대로 87-10 (우산동)
892012-광주동구-제015호디딤돌본점금전대부2020-12-22~2023-12-21오근성광주광역시 동구 무등로306번길 6 (계림동)
9102009-광주북구-제65호큰대부본점금전대부2021-02-15~2024-02-15구호상광주광역시 북구 설죽로 258, 4층 (용봉동)
순번등록증번호업체명본점여부사업내용유효기간대표자소재지(도로명)
28028122-광주서구-0006프라임머니24시 대부본점금전대부2022-01-19~2025-01-19이슬비광주광역시 서구 상무버들로53번길 51, 1층 (유촌동)
28128222-광주서구-0007유한책임회사 더투폴드대부본점금전대부2022-01-19~2025-01-19민경록광주광역시 서구 매월2로 53, 광주산업용재유통센터 3동 229호 (매월동)
28228322-광주서구-0008위더스재무관리대부중개본점대부중개2019-05-20~2022-05-20문종만광주광역시 서구 무진대로 919, 상가 113호 (광천동, 호반 써밋 광주)
28328422-광주서구-0009(주)온누리파트너스대부본점금전대부2022-01-26~2025-01-26김영민광주광역시 서구 상무중앙로 114, 랜드피아 B동 105호 (치평동)
28428522-광주서구-0010(주)주찬파이낸스대부본점금전대부2022-01-26~2025-01-26김호성광주광역시 서구 상무대로 773, 세정아울렛 카네기비즈니스센터 312-25호 (치평동)
28528622-광주서구-0011(주)주찬파이낸스대부중개본점대부중개2022-01-26~2025-01-26김호성광주광역시 서구 상무대로 773, 세정아울렛 카네기비즈니스센터 312-25호 (치평동)
28628722-광주서구-0012미송대부중개본점대부중개2020-05-12~2023-05-11김정훈광주광역시 서구 풍금로 9, 4층 (풍암동)
28728822-광주서구-0013장미대부본점금전대부2019-07-24~2022-07-24이영님광주광역시 서구 경열로 32-1, 1층 (농성동)
28828922-광주서구-0014루시앤캐시대부본점금전대부2022-03-07~2025-03-07정은경광주광역시 서구 화개1로 6, 1층 (금호동)
28929022-광주서구-0015더나은대부중개본점대부중개2022-03-23~2025-03-23박은상광주광역시 서구 시청서편로4번길 11-10, 1층 101호 (치평동)