Overview

Dataset statistics

Number of variables7
Number of observations45
Missing cells21
Missing cells (%)6.7%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.6 KiB
Average record size in memory59.9 B

Variable types

Numeric1
Categorical2
Text4

Dataset

Description부산광역시연제구_대부업등록현황_20220406
Author부산광역시 연제구
URLhttp://data.busan.go.kr/dataSet/detail.nm?contentId=10&publicdatapk=15025110

Alerts

시군구명 has constant value ""Constant
사업장 전화번호 has 21 (46.7%) missing valuesMissing
순번 has unique valuesUnique

Reproduction

Analysis started2023-12-10 16:35:58.310387
Analysis finished2023-12-10 16:35:59.143295
Duration0.83 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

순번
Real number (ℝ)

UNIQUE 

Distinct45
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean23
Minimum1
Maximum45
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size537.0 B
2023-12-11T01:35:59.271209image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3.2
Q112
median23
Q334
95-th percentile42.8
Maximum45
Range44
Interquartile range (IQR)22

Descriptive statistics

Standard deviation13.133926
Coefficient of variation (CV)0.57104024
Kurtosis-1.2
Mean23
Median Absolute Deviation (MAD)11
Skewness0
Sum1035
Variance172.5
MonotonicityStrictly increasing
2023-12-11T01:35:59.953465image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=45)
ValueCountFrequency (%)
1 1
 
2.2%
35 1
 
2.2%
26 1
 
2.2%
27 1
 
2.2%
28 1
 
2.2%
29 1
 
2.2%
30 1
 
2.2%
31 1
 
2.2%
32 1
 
2.2%
33 1
 
2.2%
Other values (35) 35
77.8%
ValueCountFrequency (%)
1 1
2.2%
2 1
2.2%
3 1
2.2%
4 1
2.2%
5 1
2.2%
6 1
2.2%
7 1
2.2%
8 1
2.2%
9 1
2.2%
10 1
2.2%
ValueCountFrequency (%)
45 1
2.2%
44 1
2.2%
43 1
2.2%
42 1
2.2%
41 1
2.2%
40 1
2.2%
39 1
2.2%
38 1
2.2%
37 1
2.2%
36 1
2.2%

시군구명
Categorical

CONSTANT 

Distinct1
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Memory size492.0 B
부산광역시 연제구
45 

Length

Max length9
Median length9
Mean length9
Min length9

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row부산광역시 연제구
2nd row부산광역시 연제구
3rd row부산광역시 연제구
4th row부산광역시 연제구
5th row부산광역시 연제구

Common Values

ValueCountFrequency (%)
부산광역시 연제구 45
100.0%

Length

2023-12-11T01:36:00.228635image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T01:36:00.396107image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
부산광역시 45
50.0%
연제구 45
50.0%
Distinct2
Distinct (%)4.4%
Missing0
Missing (%)0.0%
Memory size492.0 B
대부업
36 
대부중개업

Length

Max length5
Median length3
Mean length3.4
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
대부업 36
80.0%
대부중개업 9
 
20.0%

Length

2023-12-11T01:36:00.633754image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T01:36:00.832926image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
대부업 36
80.0%
대부중개업 9
 
20.0%

상호
Text

Distinct43
Distinct (%)95.6%
Missing0
Missing (%)0.0%
Memory size492.0 B
2023-12-11T01:36:01.070733image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length13
Mean length8.3111111
Min length4

Characters and Unicode

Total characters374
Distinct characters125
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique41 ?
Unique (%)91.1%

Sample

1st row동주자산관리대부
2nd row이디재무관리대부중개
3rd row연제대부
4th row대호대부
5th row부산투자금융대부(주)
ValueCountFrequency (%)
주식회사 5
 
9.6%
부산투자금융대부(주 2
 
3.8%
위브자산관리대부 2
 
3.8%
대광전당포대부 1
 
1.9%
연동전당포대부 1
 
1.9%
늘곁애라이프온(주 1
 
1.9%
고화상사대부 1
 
1.9%
신우전당포대부 1
 
1.9%
동주자산관리대부 1
 
1.9%
한국c·t대부 1
 
1.9%
Other values (36) 36
69.2%
2023-12-11T01:36:01.560232image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
47
 
12.6%
46
 
12.3%
13
 
3.5%
9
 
2.4%
8
 
2.1%
8
 
2.1%
8
 
2.1%
( 7
 
1.9%
) 7
 
1.9%
7
 
1.9%
Other values (115) 214
57.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 330
88.2%
Lowercase Letter 9
 
2.4%
Uppercase Letter 9
 
2.4%
Open Punctuation 7
 
1.9%
Close Punctuation 7
 
1.9%
Space Separator 7
 
1.9%
Decimal Number 3
 
0.8%
Other Punctuation 1
 
0.3%
Dash Punctuation 1
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
47
 
14.2%
46
 
13.9%
13
 
3.9%
9
 
2.7%
8
 
2.4%
8
 
2.4%
8
 
2.4%
7
 
2.1%
7
 
2.1%
7
 
2.1%
Other values (96) 170
51.5%
Lowercase Letter
ValueCountFrequency (%)
e 2
22.2%
n 2
22.2%
t 2
22.2%
m 1
11.1%
s 1
11.1%
v 1
11.1%
Uppercase Letter
ValueCountFrequency (%)
T 2
22.2%
I 2
22.2%
S 2
22.2%
C 2
22.2%
J 1
11.1%
Decimal Number
ValueCountFrequency (%)
5 1
33.3%
6 1
33.3%
3 1
33.3%
Open Punctuation
ValueCountFrequency (%)
( 7
100.0%
Close Punctuation
ValueCountFrequency (%)
) 7
100.0%
Space Separator
ValueCountFrequency (%)
7
100.0%
Other Punctuation
ValueCountFrequency (%)
· 1
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 330
88.2%
Common 26
 
7.0%
Latin 18
 
4.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
47
 
14.2%
46
 
13.9%
13
 
3.9%
9
 
2.7%
8
 
2.4%
8
 
2.4%
8
 
2.4%
7
 
2.1%
7
 
2.1%
7
 
2.1%
Other values (96) 170
51.5%
Latin
ValueCountFrequency (%)
e 2
11.1%
T 2
11.1%
I 2
11.1%
S 2
11.1%
n 2
11.1%
t 2
11.1%
C 2
11.1%
J 1
5.6%
m 1
5.6%
s 1
5.6%
Common
ValueCountFrequency (%)
( 7
26.9%
) 7
26.9%
7
26.9%
· 1
 
3.8%
5 1
 
3.8%
6 1
 
3.8%
3 1
 
3.8%
- 1
 
3.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 330
88.2%
ASCII 43
 
11.5%
None 1
 
0.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
47
 
14.2%
46
 
13.9%
13
 
3.9%
9
 
2.7%
8
 
2.4%
8
 
2.4%
8
 
2.4%
7
 
2.1%
7
 
2.1%
7
 
2.1%
Other values (96) 170
51.5%
ASCII
ValueCountFrequency (%)
( 7
16.3%
) 7
16.3%
7
16.3%
e 2
 
4.7%
T 2
 
4.7%
I 2
 
4.7%
S 2
 
4.7%
n 2
 
4.7%
t 2
 
4.7%
C 2
 
4.7%
Other values (8) 8
18.6%
None
ValueCountFrequency (%)
· 1
100.0%
Distinct23
Distinct (%)95.8%
Missing21
Missing (%)46.7%
Memory size492.0 B
2023-12-11T01:36:01.820864image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length12
Mean length12.583333
Min length9

Characters and Unicode

Total characters302
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

Unique22 ?
Unique (%)91.7%

Sample

1st row1644-9834
2nd row051-982-7262
3rd row051-864-9100
4th row051-711-5111
5th row051-711-5111
ValueCountFrequency (%)
051-711-5111 2
 
8.3%
051-501-2241 1
 
4.2%
051-755-5155/1661-5880 1
 
4.2%
051-867-3344 1
 
4.2%
051-868-7423 1
 
4.2%
051-863-6148 1
 
4.2%
051-865-7549 1
 
4.2%
051-852-9994 1
 
4.2%
051-921-5965 1
 
4.2%
051-867-1049 1
 
4.2%
Other values (13) 13
54.2%
2023-12-11T01:36:02.299402image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 57
18.9%
5 48
15.9%
- 48
15.9%
0 36
11.9%
6 23
7.6%
8 18
 
6.0%
9 17
 
5.6%
2 17
 
5.6%
7 16
 
5.3%
4 13
 
4.3%
Other values (2) 9
 
3.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 252
83.4%
Dash Punctuation 48
 
15.9%
Other Punctuation 2
 
0.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 57
22.6%
5 48
19.0%
0 36
14.3%
6 23
9.1%
8 18
 
7.1%
9 17
 
6.7%
2 17
 
6.7%
7 16
 
6.3%
4 13
 
5.2%
3 7
 
2.8%
Dash Punctuation
ValueCountFrequency (%)
- 48
100.0%
Other Punctuation
ValueCountFrequency (%)
/ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 302
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 57
18.9%
5 48
15.9%
- 48
15.9%
0 36
11.9%
6 23
7.6%
8 18
 
6.0%
9 17
 
5.6%
2 17
 
5.6%
7 16
 
5.3%
4 13
 
4.3%
Other values (2) 9
 
3.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 302
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 57
18.9%
5 48
15.9%
- 48
15.9%
0 36
11.9%
6 23
7.6%
8 18
 
6.0%
9 17
 
5.6%
2 17
 
5.6%
7 16
 
5.3%
4 13
 
4.3%
Other values (2) 9
 
3.0%
Distinct39
Distinct (%)86.7%
Missing0
Missing (%)0.0%
Memory size492.0 B
2023-12-11T01:36:02.740084image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length44
Median length32
Mean length29.044444
Min length19

Characters and Unicode

Total characters1307
Distinct characters87
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

Unique34 ?
Unique (%)75.6%

Sample

1st row부산광역시 연제구 거제동 1487-1 정림빌딩 306호
2nd row부산광역시 연제구 연산동 490-12
3rd row부산광역시 연제구 연산동 1384-8 금소리빌딩 301호
4th row부산광역시 연제구 연산동 1384-8 금소리빌딩 301호
5th row부산광역시 연제구 거제동 1177-4 태연빌딩 904호
ValueCountFrequency (%)
부산광역시 45
 
16.4%
연제구 45
 
16.4%
연산동 38
 
13.9%
거제동 10
 
3.6%
1384-8 3
 
1.1%
금소리빌딩 3
 
1.1%
301호 3
 
1.1%
1호 3
 
1.1%
9011호 2
 
0.7%
202호 2
 
0.7%
Other values (96) 120
43.8%
2023-12-11T01:36:03.353349image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
229
17.5%
87
 
6.7%
85
 
6.5%
58
 
4.4%
1 56
 
4.3%
55
 
4.2%
49
 
3.7%
48
 
3.7%
46
 
3.5%
45
 
3.4%
Other values (77) 549
42.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 751
57.5%
Decimal Number 297
 
22.7%
Space Separator 229
 
17.5%
Dash Punctuation 20
 
1.5%
Uppercase Letter 8
 
0.6%
Open Punctuation 1
 
0.1%
Close Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
87
11.6%
85
11.3%
58
 
7.7%
55
 
7.3%
49
 
6.5%
48
 
6.4%
46
 
6.1%
45
 
6.0%
45
 
6.0%
45
 
6.0%
Other values (56) 188
25.0%
Decimal Number
ValueCountFrequency (%)
1 56
18.9%
3 37
12.5%
2 35
11.8%
0 35
11.8%
8 31
10.4%
4 28
9.4%
5 21
 
7.1%
6 20
 
6.7%
7 17
 
5.7%
9 17
 
5.7%
Uppercase Letter
ValueCountFrequency (%)
W 2
25.0%
K 1
12.5%
S 1
12.5%
V 1
12.5%
I 1
12.5%
E 1
12.5%
A 1
12.5%
Space Separator
ValueCountFrequency (%)
229
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 20
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 751
57.5%
Common 548
41.9%
Latin 8
 
0.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
87
11.6%
85
11.3%
58
 
7.7%
55
 
7.3%
49
 
6.5%
48
 
6.4%
46
 
6.1%
45
 
6.0%
45
 
6.0%
45
 
6.0%
Other values (56) 188
25.0%
Common
ValueCountFrequency (%)
229
41.8%
1 56
 
10.2%
3 37
 
6.8%
2 35
 
6.4%
0 35
 
6.4%
8 31
 
5.7%
4 28
 
5.1%
5 21
 
3.8%
- 20
 
3.6%
6 20
 
3.6%
Other values (4) 36
 
6.6%
Latin
ValueCountFrequency (%)
W 2
25.0%
K 1
12.5%
S 1
12.5%
V 1
12.5%
I 1
12.5%
E 1
12.5%
A 1
12.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 751
57.5%
ASCII 556
42.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
229
41.2%
1 56
 
10.1%
3 37
 
6.7%
2 35
 
6.3%
0 35
 
6.3%
8 31
 
5.6%
4 28
 
5.0%
5 21
 
3.8%
- 20
 
3.6%
6 20
 
3.6%
Other values (11) 44
 
7.9%
Hangul
ValueCountFrequency (%)
87
11.6%
85
11.3%
58
 
7.7%
55
 
7.3%
49
 
6.5%
48
 
6.4%
46
 
6.1%
45
 
6.0%
45
 
6.0%
45
 
6.0%
Other values (56) 188
25.0%
Distinct40
Distinct (%)88.9%
Missing0
Missing (%)0.0%
Memory size492.0 B
2023-12-11T01:36:03.738978image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length69
Median length43
Mean length37.422222
Min length21

Characters and Unicode

Total characters1684
Distinct characters112
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

Unique36 ?
Unique (%)80.0%

Sample

1st row부산광역시 연제구 법원로 34, 정림빌딩 306호 (거제동)
2nd row부산광역시 연제구 토곡남로 3(연산동)
3rd row부산광역시 연제구 중앙대로 1069, 금소리빌딩 3층 301호 (연산동)
4th row부산광역시 연제구 중앙대로 1069, 금소리빌딩 3층 301호 (연산동)
5th row부산광역시 연제구 월드컵대로 231, 태연빌딩 904호 (거제동)
ValueCountFrequency (%)
부산광역시 45
 
13.5%
연제구 45
 
13.5%
연산동 38
 
11.4%
거제동 10
 
3.0%
중앙대로 8
 
2.4%
2층 7
 
2.1%
1층 4
 
1.2%
34 4
 
1.2%
반송로 4
 
1.2%
301호 3
 
0.9%
Other values (117) 166
49.7%
2023-12-11T01:36:04.319863image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
289
 
17.2%
94
 
5.6%
86
 
5.1%
1 68
 
4.0%
62
 
3.7%
61
 
3.6%
, 52
 
3.1%
49
 
2.9%
0 49
 
2.9%
48
 
2.9%
Other values (102) 826
49.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 950
56.4%
Decimal Number 291
 
17.3%
Space Separator 289
 
17.2%
Other Punctuation 52
 
3.1%
Close Punctuation 46
 
2.7%
Open Punctuation 46
 
2.7%
Uppercase Letter 8
 
0.5%
Dash Punctuation 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
94
 
9.9%
86
 
9.1%
62
 
6.5%
61
 
6.4%
49
 
5.2%
48
 
5.1%
45
 
4.7%
45
 
4.7%
45
 
4.7%
45
 
4.7%
Other values (80) 370
38.9%
Decimal Number
ValueCountFrequency (%)
1 68
23.4%
0 49
16.8%
2 39
13.4%
3 30
10.3%
4 27
 
9.3%
6 21
 
7.2%
9 19
 
6.5%
8 16
 
5.5%
5 11
 
3.8%
7 11
 
3.8%
Uppercase Letter
ValueCountFrequency (%)
W 2
25.0%
E 1
12.5%
I 1
12.5%
V 1
12.5%
K 1
12.5%
S 1
12.5%
A 1
12.5%
Space Separator
ValueCountFrequency (%)
289
100.0%
Other Punctuation
ValueCountFrequency (%)
, 52
100.0%
Close Punctuation
ValueCountFrequency (%)
) 46
100.0%
Open Punctuation
ValueCountFrequency (%)
( 46
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 950
56.4%
Common 726
43.1%
Latin 8
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
94
 
9.9%
86
 
9.1%
62
 
6.5%
61
 
6.4%
49
 
5.2%
48
 
5.1%
45
 
4.7%
45
 
4.7%
45
 
4.7%
45
 
4.7%
Other values (80) 370
38.9%
Common
ValueCountFrequency (%)
289
39.8%
1 68
 
9.4%
, 52
 
7.2%
0 49
 
6.7%
) 46
 
6.3%
( 46
 
6.3%
2 39
 
5.4%
3 30
 
4.1%
4 27
 
3.7%
6 21
 
2.9%
Other values (5) 59
 
8.1%
Latin
ValueCountFrequency (%)
W 2
25.0%
E 1
12.5%
I 1
12.5%
V 1
12.5%
K 1
12.5%
S 1
12.5%
A 1
12.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 950
56.4%
ASCII 734
43.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
289
39.4%
1 68
 
9.3%
, 52
 
7.1%
0 49
 
6.7%
) 46
 
6.3%
( 46
 
6.3%
2 39
 
5.3%
3 30
 
4.1%
4 27
 
3.7%
6 21
 
2.9%
Other values (12) 67
 
9.1%
Hangul
ValueCountFrequency (%)
94
 
9.9%
86
 
9.1%
62
 
6.5%
61
 
6.4%
49
 
5.2%
48
 
5.1%
45
 
4.7%
45
 
4.7%
45
 
4.7%
45
 
4.7%
Other values (80) 370
38.9%

Interactions

2023-12-11T01:35:58.751932image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T01:36:04.456964image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번등록신청사업상호사업장 전화번호소재지(지번)소재지(도로명)
순번1.0000.5020.9671.0000.9420.975
등록신청사업0.5021.0000.0000.0000.0000.000
상호0.9670.0001.0001.0001.0001.000
사업장 전화번호1.0000.0001.0001.0001.0001.000
소재지(지번)0.9420.0001.0001.0001.0001.000
소재지(도로명)0.9750.0001.0001.0001.0001.000
2023-12-11T01:36:04.585636image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번등록신청사업
순번1.0000.299
등록신청사업0.2991.000

Missing values

2023-12-11T01:35:58.911816image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T01:35:59.076859image/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

순번시군구명등록신청사업상호사업장 전화번호소재지(지번)소재지(도로명)
01부산광역시 연제구대부업동주자산관리대부<NA>부산광역시 연제구 거제동 1487-1 정림빌딩 306호부산광역시 연제구 법원로 34, 정림빌딩 306호 (거제동)
12부산광역시 연제구대부중개업이디재무관리대부중개1644-9834부산광역시 연제구 연산동 490-12부산광역시 연제구 토곡남로 3(연산동)
23부산광역시 연제구대부업연제대부<NA>부산광역시 연제구 연산동 1384-8 금소리빌딩 301호부산광역시 연제구 중앙대로 1069, 금소리빌딩 3층 301호 (연산동)
34부산광역시 연제구대부업대호대부<NA>부산광역시 연제구 연산동 1384-8 금소리빌딩 301호부산광역시 연제구 중앙대로 1069, 금소리빌딩 3층 301호 (연산동)
45부산광역시 연제구대부중개업부산투자금융대부(주)<NA>부산광역시 연제구 거제동 1177-4 태연빌딩 904호부산광역시 연제구 월드컵대로 231, 태연빌딩 904호 (거제동)
56부산광역시 연제구대부업부산투자금융대부(주)<NA>부산광역시 연제구 거제동 1177-4 태연빌딩 904호부산광역시 연제구 월드컵대로 231, 태연빌딩 904호 (거제동)
67부산광역시 연제구대부업주식회사 카즈대부051-982-7262부산광역시 연제구 연산동 638-17부산광역시 연제구 쌍미천로141번길 21, 2층 (연산동)
78부산광역시 연제구대부중개업바른캐피탈대부중개<NA>부산광역시 연제구 거제동 1486-2 만해빌딩 604-A호부산광역시 연제구 법원북로 86, 만해빌딩 604-A호 (거제동)
89부산광역시 연제구대부업그린대부<NA>부산광역시 연제구 연산동 1289-4 603호부산광역시 연제구 거제천로146번길 34, 6층 603호 (연산동)
910부산광역시 연제구대부중개업금소리대부중개<NA>부산광역시 연제구 연산동 1384-8 금소리빌딩 301호부산광역시 연제구 중앙대로 1069, 금소리빌딩 3층 301호 (연산동)
순번시군구명등록신청사업상호사업장 전화번호소재지(지번)소재지(도로명)
3536부산광역시 연제구대부업한국C·T대부051-501-2241부산광역시 연제구 연산동 702번지 9호 뉴그랜드오피스텔부산광역시 연제구 중앙대로 1078, 뉴그랜드오피스텔 1210호 (연산동)
3637부산광역시 연제구대부업(주)한재대부051-503-9666부산광역시 연제구 거제동 394번지 5호 4층부산광역시 연제구 법원북로 81, 4층 (거제동)
3738부산광역시 연제구대부업연미전당포대부051-867-1049부산광역시 연제구 연산동 2133번지 34호부산광역시 연제구 연수로 205, 2층 (연산동)
3839부산광역시 연제구대부업착한IT전당포대부051-921-5965부산광역시 연제구 연산동 587번지 8호 연산동 SK VIEW(2단지) 212호부산광역시 연제구 중앙대로 1130, 212호 (연산동, 연산동 SK VIEW(2단지))
3940부산광역시 연제구대부업청우대부051-852-9994부산광역시 연제구 연산동 1706번지 11호부산광역시 연제구 대리로12번길 21, 1층 (연산동)
4041부산광역시 연제구대부업가문전당포대부051-865-7549부산광역시 연제구 연산동 590번지 15호부산광역시 연제구 고분로13번길 49 (연산동)
4142부산광역시 연제구대부업대광전당포대부051-863-6148부산광역시 연제구 연산동 1051번지 10호부산광역시 연제구 과정로265번길 4, 2층 (연산동)
4243부산광역시 연제구대부업신우전당포대부051-868-7423부산광역시 연제구 연산동 723번지 19호부산광역시 연제구 반송로 13-2, 401호 (연산동)
4344부산광역시 연제구대부업고화상사대부051-867-3344부산광역시 연제구 연산동 1342번지 27호부산광역시 연제구 중앙대로 1053, 9층 902호 (연산동, 동림빌딩)
4445부산광역시 연제구대부업연일전당포대부051-861-1997부산광역시 연제구 연산동 639번지 28호부산광역시 연제구 고분로32번길 19 (연산동)