Overview

Dataset statistics

Number of variables8
Number of observations139
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory9.0 KiB
Average record size in memory65.9 B

Variable types

Numeric1
Categorical3
Text3
DateTime1

Dataset

Description경기도 용인시 금전의 대부를 업으로 하거나 대부계약에 따른 채권을 양도받아 이를 추심하는 업체현황입니다. 상호, 소재지 등의 데이터를 제공합니다. ※ 데이터기준일자 : 2022-12-31
URLhttps://www.data.go.kr/data/3078077/fileData.do

Alerts

시군구명 has constant value ""Constant
데이터기준일자 has constant value ""Constant
순번 has unique valuesUnique
등록증번호 has unique valuesUnique

Reproduction

Analysis started2023-12-12 15:10:26.509727
Analysis finished2023-12-12 15:10:27.222569
Duration0.71 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

순번
Real number (ℝ)

UNIQUE 

Distinct139
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean70
Minimum1
Maximum139
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2023-12-13T00:10:27.297249image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile7.9
Q135.5
median70
Q3104.5
95-th percentile132.1
Maximum139
Range138
Interquartile range (IQR)69

Descriptive statistics

Standard deviation40.269923
Coefficient of variation (CV)0.57528461
Kurtosis-1.2
Mean70
Median Absolute Deviation (MAD)35
Skewness0
Sum9730
Variance1621.6667
MonotonicityStrictly increasing
2023-12-13T00:10:27.458728image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.7%
97 1
 
0.7%
91 1
 
0.7%
92 1
 
0.7%
93 1
 
0.7%
94 1
 
0.7%
95 1
 
0.7%
96 1
 
0.7%
98 1
 
0.7%
89 1
 
0.7%
Other values (129) 129
92.8%
ValueCountFrequency (%)
1 1
0.7%
2 1
0.7%
3 1
0.7%
4 1
0.7%
5 1
0.7%
6 1
0.7%
7 1
0.7%
8 1
0.7%
9 1
0.7%
10 1
0.7%
ValueCountFrequency (%)
139 1
0.7%
138 1
0.7%
137 1
0.7%
136 1
0.7%
135 1
0.7%
134 1
0.7%
133 1
0.7%
132 1
0.7%
131 1
0.7%
130 1
0.7%

시군구명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
경기도 용인시
139 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row경기도 용인시
2nd row경기도 용인시
3rd row경기도 용인시
4th row경기도 용인시
5th row경기도 용인시

Common Values

ValueCountFrequency (%)
경기도 용인시 139
100.0%

Length

2023-12-13T00:10:27.597368image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T00:10:27.692926image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
경기도 139
50.0%
용인시 139
50.0%
Distinct2
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
대부업
98 
대부중개업
41 

Length

Max length5
Median length3
Mean length3.5899281
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
대부업 98
70.5%
대부중개업 41
29.5%

Length

2023-12-13T00:10:27.804901image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T00:10:27.938248image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
대부업 98
70.5%
대부중개업 41
29.5%

등록증번호
Text

UNIQUE 

Distinct139
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
2023-12-13T00:10:28.097099image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length14
Mean length14.604317
Min length10

Characters and Unicode

Total characters2030
Distinct characters25
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

Unique139 ?
Unique (%)100.0%

Sample

1st row2022-경기용인-0048(대부)
2nd row2014-경기용인-128
3rd row2022-경기용인-45(대부업)
4th row2022-경기용인-044(대부업)
5th row2022-경기용인-0043(대부중개)
ValueCountFrequency (%)
경기용인 2
 
1.4%
2021-경기용인-0002 1
 
0.7%
2020-경기용인-0056-대부 1
 
0.7%
2020-경기용인-0057-대부 1
 
0.7%
2013-경기용인-103 1
 
0.7%
2018-경기용인-007 1
 
0.7%
2018-경기용인-008 1
 
0.7%
2017-경기용인-036 1
 
0.7%
2021-경기용인-0003 1
 
0.7%
2021-경기용인-0037 1
 
0.7%
Other values (130) 130
92.2%
2023-12-13T00:10:28.402549image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 444
21.9%
2 345
17.0%
- 285
14.0%
139
 
6.8%
139
 
6.8%
139
 
6.8%
139
 
6.8%
1 109
 
5.4%
3 49
 
2.4%
4 36
 
1.8%
Other values (15) 206
10.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1082
53.3%
Other Letter 631
31.1%
Dash Punctuation 285
 
14.0%
Close Punctuation 15
 
0.7%
Open Punctuation 15
 
0.7%
Space Separator 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
139
22.0%
139
22.0%
139
22.0%
139
22.0%
23
 
3.6%
23
 
3.6%
9
 
1.4%
9
 
1.4%
7
 
1.1%
2
 
0.3%
Decimal Number
ValueCountFrequency (%)
0 444
41.0%
2 345
31.9%
1 109
 
10.1%
3 49
 
4.5%
4 36
 
3.3%
5 27
 
2.5%
7 21
 
1.9%
8 20
 
1.8%
9 19
 
1.8%
6 12
 
1.1%
Dash Punctuation
ValueCountFrequency (%)
- 285
100.0%
Close Punctuation
ValueCountFrequency (%)
) 15
100.0%
Open Punctuation
ValueCountFrequency (%)
( 15
100.0%
Space Separator
ValueCountFrequency (%)
2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1399
68.9%
Hangul 631
31.1%

Most frequent character per script

Common
ValueCountFrequency (%)
0 444
31.7%
2 345
24.7%
- 285
20.4%
1 109
 
7.8%
3 49
 
3.5%
4 36
 
2.6%
5 27
 
1.9%
7 21
 
1.5%
8 20
 
1.4%
9 19
 
1.4%
Other values (4) 44
 
3.1%
Hangul
ValueCountFrequency (%)
139
22.0%
139
22.0%
139
22.0%
139
22.0%
23
 
3.6%
23
 
3.6%
9
 
1.4%
9
 
1.4%
7
 
1.1%
2
 
0.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1399
68.9%
Hangul 631
31.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 444
31.7%
2 345
24.7%
- 285
20.4%
1 109
 
7.8%
3 49
 
3.5%
4 36
 
2.6%
5 27
 
1.9%
7 21
 
1.5%
8 20
 
1.4%
9 19
 
1.4%
Other values (4) 44
 
3.1%
Hangul
ValueCountFrequency (%)
139
22.0%
139
22.0%
139
22.0%
139
22.0%
23
 
3.6%
23
 
3.6%
9
 
1.4%
9
 
1.4%
7
 
1.1%
2
 
0.3%

상호
Text

Distinct130
Distinct (%)93.5%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
2023-12-13T00:10:28.606039image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length15
Mean length8.6690647
Min length4

Characters and Unicode

Total characters1205
Distinct characters198
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

Unique121 ?
Unique (%)87.1%

Sample

1st row에스엘인베스트대부
2nd row우일인베스트대부
3rd row희망25시대부
4th row에스알씨대부
5th row다담대부중개
ValueCountFrequency (%)
주식회사 29
 
15.8%
대부 6
 
3.3%
영원대부 2
 
1.1%
파트너스 2
 
1.1%
주)베스트이지론대부 2
 
1.1%
대부중개업 2
 
1.1%
이노티지자산관리대부(주 2
 
1.1%
푸른대부 2
 
1.1%
에스파이낸셜대부(주 2
 
1.1%
한빛인베스트대부 2
 
1.1%
Other values (125) 132
72.1%
2023-12-13T00:10:28.947298image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
137
 
11.4%
135
 
11.2%
57
 
4.7%
44
 
3.7%
36
 
3.0%
34
 
2.8%
33
 
2.7%
31
 
2.6%
31
 
2.6%
31
 
2.6%
Other values (188) 636
52.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1076
89.3%
Space Separator 44
 
3.7%
Close Punctuation 28
 
2.3%
Open Punctuation 28
 
2.3%
Decimal Number 21
 
1.7%
Uppercase Letter 6
 
0.5%
Other Punctuation 2
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
137
 
12.7%
135
 
12.5%
57
 
5.3%
36
 
3.3%
34
 
3.2%
33
 
3.1%
31
 
2.9%
31
 
2.9%
31
 
2.9%
30
 
2.8%
Other values (171) 521
48.4%
Decimal Number
ValueCountFrequency (%)
2 8
38.1%
4 7
33.3%
9 2
 
9.5%
5 2
 
9.5%
6 1
 
4.8%
3 1
 
4.8%
Uppercase Letter
ValueCountFrequency (%)
F 1
16.7%
I 1
16.7%
B 1
16.7%
Y 1
16.7%
H 1
16.7%
S 1
16.7%
Other Punctuation
ValueCountFrequency (%)
, 1
50.0%
& 1
50.0%
Space Separator
ValueCountFrequency (%)
44
100.0%
Close Punctuation
ValueCountFrequency (%)
) 28
100.0%
Open Punctuation
ValueCountFrequency (%)
( 28
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1076
89.3%
Common 123
 
10.2%
Latin 6
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
137
 
12.7%
135
 
12.5%
57
 
5.3%
36
 
3.3%
34
 
3.2%
33
 
3.1%
31
 
2.9%
31
 
2.9%
31
 
2.9%
30
 
2.8%
Other values (171) 521
48.4%
Common
ValueCountFrequency (%)
44
35.8%
) 28
22.8%
( 28
22.8%
2 8
 
6.5%
4 7
 
5.7%
9 2
 
1.6%
5 2
 
1.6%
, 1
 
0.8%
6 1
 
0.8%
3 1
 
0.8%
Latin
ValueCountFrequency (%)
F 1
16.7%
I 1
16.7%
B 1
16.7%
Y 1
16.7%
H 1
16.7%
S 1
16.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1076
89.3%
ASCII 129
 
10.7%

Most frequent character per block

Hangul
ValueCountFrequency (%)
137
 
12.7%
135
 
12.5%
57
 
5.3%
36
 
3.3%
34
 
3.2%
33
 
3.1%
31
 
2.9%
31
 
2.9%
31
 
2.9%
30
 
2.8%
Other values (171) 521
48.4%
ASCII
ValueCountFrequency (%)
44
34.1%
) 28
21.7%
( 28
21.7%
2 8
 
6.2%
4 7
 
5.4%
9 2
 
1.6%
5 2
 
1.6%
F 1
 
0.8%
I 1
 
0.8%
B 1
 
0.8%
Other values (7) 7
 
5.4%
Distinct112
Distinct (%)80.6%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
2023-12-13T00:10:29.161366image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length57
Median length50
Mean length40.158273
Min length27

Characters and Unicode

Total characters5582
Distinct characters173
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique85 ?
Unique (%)61.2%

Sample

1st row경기도 용인시 수지구 수지로342번길 32, 5층 503,504호 제7호 (풍덕천동)
2nd row경기도 용인시 수지구 수지로342번길 32, 5층 503,504호 제6호 (풍덕천동)
3rd row경기도 용인시 수지구 상현로 5, 상현프라자 4층 402-H호 (상현동)
4th row경기도 용인시 수지구 풍덕천로139번길 10-4, 고덕빌딩 6층 f03호 (풍덕천동)
5th row경기도 용인시 기흥구 동백중앙로 191, 씨티프라자 858호 (중동)
ValueCountFrequency (%)
경기도 139
 
12.0%
용인시 139
 
12.0%
기흥구 87
 
7.5%
수지구 34
 
2.9%
중동 23
 
2.0%
보정동 20
 
1.7%
처인구 18
 
1.6%
죽전로 15
 
1.3%
구갈동 15
 
1.3%
상현동 14
 
1.2%
Other values (279) 653
56.4%
2023-12-13T00:10:29.594085image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1018
 
18.2%
228
 
4.1%
1 192
 
3.4%
180
 
3.2%
165
 
3.0%
163
 
2.9%
, 154
 
2.8%
144
 
2.6%
143
 
2.6%
140
 
2.5%
Other values (163) 3055
54.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3065
54.9%
Space Separator 1018
 
18.2%
Decimal Number 961
 
17.2%
Other Punctuation 154
 
2.8%
Close Punctuation 139
 
2.5%
Open Punctuation 139
 
2.5%
Dash Punctuation 62
 
1.1%
Uppercase Letter 43
 
0.8%
Lowercase Letter 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
228
 
7.4%
180
 
5.9%
165
 
5.4%
163
 
5.3%
144
 
4.7%
143
 
4.7%
140
 
4.6%
139
 
4.5%
139
 
4.5%
133
 
4.3%
Other values (130) 1491
48.6%
Uppercase Letter
ValueCountFrequency (%)
I 7
16.3%
A 5
11.6%
B 4
9.3%
T 4
9.3%
G 3
7.0%
C 3
7.0%
H 3
7.0%
D 3
7.0%
S 3
7.0%
O 2
 
4.7%
Other values (5) 6
14.0%
Decimal Number
ValueCountFrequency (%)
1 192
20.0%
2 135
14.0%
0 127
13.2%
3 111
11.6%
4 79
8.2%
6 77
8.0%
8 67
 
7.0%
5 65
 
6.8%
9 58
 
6.0%
7 50
 
5.2%
Close Punctuation
ValueCountFrequency (%)
) 137
98.6%
] 2
 
1.4%
Open Punctuation
ValueCountFrequency (%)
( 137
98.6%
[ 2
 
1.4%
Space Separator
ValueCountFrequency (%)
1018
100.0%
Other Punctuation
ValueCountFrequency (%)
, 154
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 62
100.0%
Lowercase Letter
ValueCountFrequency (%)
f 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3065
54.9%
Common 2473
44.3%
Latin 44
 
0.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
228
 
7.4%
180
 
5.9%
165
 
5.4%
163
 
5.3%
144
 
4.7%
143
 
4.7%
140
 
4.6%
139
 
4.5%
139
 
4.5%
133
 
4.3%
Other values (130) 1491
48.6%
Common
ValueCountFrequency (%)
1018
41.2%
1 192
 
7.8%
, 154
 
6.2%
) 137
 
5.5%
( 137
 
5.5%
2 135
 
5.5%
0 127
 
5.1%
3 111
 
4.5%
4 79
 
3.2%
6 77
 
3.1%
Other values (7) 306
 
12.4%
Latin
ValueCountFrequency (%)
I 7
15.9%
A 5
11.4%
B 4
9.1%
T 4
9.1%
G 3
6.8%
C 3
6.8%
H 3
6.8%
D 3
6.8%
S 3
6.8%
O 2
 
4.5%
Other values (6) 7
15.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3065
54.9%
ASCII 2517
45.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1018
40.4%
1 192
 
7.6%
, 154
 
6.1%
) 137
 
5.4%
( 137
 
5.4%
2 135
 
5.4%
0 127
 
5.0%
3 111
 
4.4%
4 79
 
3.1%
6 77
 
3.1%
Other values (23) 350
 
13.9%
Hangul
ValueCountFrequency (%)
228
 
7.4%
180
 
5.9%
165
 
5.4%
163
 
5.3%
144
 
4.7%
143
 
4.7%
140
 
4.6%
139
 
4.5%
139
 
4.5%
133
 
4.3%
Other values (130) 1491
48.6%
Distinct95
Distinct (%)68.3%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
Minimum2019-08-14 00:00:00
Maximum2022-12-28 00:00:00
2023-12-13T00:10:29.760299image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:10:29.900848image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
2022-12-31
139 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2022-12-31
2nd row2022-12-31
3rd row2022-12-31
4th row2022-12-31
5th row2022-12-31

Common Values

ValueCountFrequency (%)
2022-12-31 139
100.0%

Length

2023-12-13T00:10:30.042132image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T00:10:30.151230image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2022-12-31 139
100.0%

Interactions

2023-12-13T00:10:26.856780image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T00:10:30.221866image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번등록신청사업등록일자
순번1.0000.0000.997
등록신청사업0.0001.0000.000
등록일자0.9970.0001.000
2023-12-13T00:10:30.323310image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번등록신청사업
순번1.0000.000
등록신청사업0.0001.000

Missing values

2023-12-13T00:10:27.028601image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T00:10:27.172080image/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

순번시군구명등록신청사업등록증번호상호소재지(도로명)등록일자데이터기준일자
01경기도 용인시대부업2022-경기용인-0048(대부)에스엘인베스트대부경기도 용인시 수지구 수지로342번길 32, 5층 503,504호 제7호 (풍덕천동)2022-12-282022-12-31
12경기도 용인시대부업2014-경기용인-128우일인베스트대부경기도 용인시 수지구 수지로342번길 32, 5층 503,504호 제6호 (풍덕천동)2022-12-282022-12-31
23경기도 용인시대부업2022-경기용인-45(대부업)희망25시대부경기도 용인시 수지구 상현로 5, 상현프라자 4층 402-H호 (상현동)2022-11-292022-12-31
34경기도 용인시대부업2022-경기용인-044(대부업)에스알씨대부경기도 용인시 수지구 풍덕천로139번길 10-4, 고덕빌딩 6층 f03호 (풍덕천동)2022-11-172022-12-31
45경기도 용인시대부중개업2022-경기용인-0043(대부중개)다담대부중개경기도 용인시 기흥구 동백중앙로 191, 씨티프라자 858호 (중동)2022-11-072022-12-31
56경기도 용인시대부업2022-경기용인-0042(대부)퍼블릭캐피탈대부경기도 용인시 기흥구 동백중앙로 191, 씨티프라자 820호 (중동)2022-11-042022-12-31
67경기도 용인시대부중개업2022-경기용인-0041(대부중개)에벤에셀대부(주)경기도 용인시 기흥구 사은로 78, 코리아퀵빌딩 201호 (보라동)2022-11-032022-12-31
78경기도 용인시대부업2022-경기용인-0040(대부)에벤에셀대부(주)경기도 용인시 기흥구 사은로 78, 코리아퀵빌딩 201호 (보라동)2022-11-032022-12-31
89경기도 용인시대부중개업2022-경기용인-0039(대부중개)태성대부중개경기도 용인시 처인구 경안천로36번길 6, 진흥빌딩 202호 (마평동)2022-10-182022-12-31
910경기도 용인시대부업2022-경기용인-0038(대부)태성대부경기도 용인시 처인구 경안천로36번길 6, 진흥빌딩 202호 (마평동)2022-10-182022-12-31
순번시군구명등록신청사업등록증번호상호소재지(도로명)등록일자데이터기준일자
129130경기도 용인시대부업2020-경기용인-0018당일개인돈대부경기도 용인시 기흥구 죽전로 10, 장은메디칼프라자 601호 (보정동)2020-05-222022-12-31
130131경기도 용인시대부중개업2020-경기용인-0015BIF캐피탈대부중개경기도 용인시 수지구 광교중앙로295번길 25, A동 605호 (상현동)2020-04-242022-12-31
131132경기도 용인시대부업2020-경기용인-0010서민월변대부경기도 용인시 수지구 수지로489번길 15, 219호 (동천동)2020-04-022022-12-31
132133경기도 용인시대부업2020-경기용인-0009무방문 월변 대부경기도 용인시 기흥구 동백4로 6, 아이브타운 6층 687호 (중동)2020-03-232022-12-31
133134경기도 용인시대부업2020-경기용인-0005(주)엠제이대부경기도 용인시 기흥구 덕영대로 1871, 상가동 305-2호 (하갈동, 청명호수마을 신안인스빌1단지)2020-02-182022-12-31
134135경기도 용인시대부업2020-경기용인-0004협진금융대부경기도 용인시 기흥구 금화로108번길 7, 삼우프라자 226호 (상갈동)2020-01-232022-12-31
135136경기도 용인시대부업2020-경기용인-0003원더키디파이낸셜대부경기도 용인시 수지구 풍덕천로160번길 18, 2층 (풍덕천동)2020-01-202022-12-31
136137경기도 용인시대부업2020-경기용인-0002정직24시대부경기도 용인시 수지구 풍덕천로129번길 6-4, 3층 305호 (풍덕천동)2020-01-152022-12-31
137138경기도 용인시대부업2014-경기용인-122(주)에이치케이파트너스대부경기도 용인시 기흥구 죽전로 39, 701-6호 (보정동, SJ타워)2019-12-112022-12-31
138139경기도 용인시대부업2019-경기용인-039일신금융대부경기도 용인시 기흥구 동백4로 6, 아이브타운 6층 623호 (중동)2019-08-142022-12-31