Overview

Dataset statistics

Number of variables29
Number of observations10000
Missing cells0
Missing cells (%)0.0%
Duplicate rows2
Duplicate rows (%)< 0.1%
Total size in memory2.4 MiB
Average record size in memory249.0 B

Variable types

Categorical14
Numeric7
DateTime6
Text2

Dataset

DescriptionG-money 지원 현황
Author경기신용보증재단
URLhttps://data.gg.go.kr/portal/data/service/selectServicePage.do?&infId=AUK207PXX0L2WPUGOW3E31424162&infSeq=1

Alerts

Dataset has 2 (< 0.1%) duplicate rowsDuplicates
금리구분 is highly imbalanced (52.4%)Imbalance
담보종류(자금융자신청) is highly imbalanced (88.6%)Imbalance
담보종류(대출실행) is highly imbalanced (86.6%)Imbalance
추가금리할인 is highly imbalanced (99.4%)Imbalance
추가이차보전율 is highly imbalanced (90.5%)Imbalance
자금대분류 is highly imbalanced (84.7%)Imbalance
자금명 is highly imbalanced (68.2%)Imbalance
자금용도 is highly imbalanced (63.4%)Imbalance
재원 is highly imbalanced (73.4%)Imbalance
접수구분 is highly imbalanced (81.2%)Imbalance
진행현황 is highly imbalanced (89.4%)Imbalance
대출잔액 has 650 (6.5%) zerosZeros

Reproduction

Analysis started2023-12-10 21:59:30.952737
Analysis finished2023-12-10 21:59:31.758191
Duration0.81 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

관할시군명
Categorical

Distinct32
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
화성시(화성)
707 
수원시
 
656
안산시
 
647
부천시
 
637
성남시
 
574
Other values (27)
6779 

Length

Max length7
Median length3
Mean length3.4005
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row안양시
2nd row부천시
3rd row오산시
4th row안양시
5th row고양시

Common Values

ValueCountFrequency (%)
화성시(화성) 707
 
7.1%
수원시 656
 
6.6%
안산시 647
 
6.5%
부천시 637
 
6.4%
성남시 574
 
5.7%
용인시 558
 
5.6%
남양주시 552
 
5.5%
고양시 531
 
5.3%
시흥시 523
 
5.2%
안양시 449
 
4.5%
Other values (22) 4166
41.7%

Length

2023-12-11T06:59:31.834028image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
화성시(화성 707
 
7.1%
수원시 656
 
6.6%
안산시 647
 
6.5%
부천시 637
 
6.4%
성남시 574
 
5.7%
용인시 558
 
5.6%
남양주시 552
 
5.5%
고양시 531
 
5.3%
시흥시 523
 
5.2%
안양시 449
 
4.5%
Other values (22) 4166
41.7%

결정금액
Real number (ℝ)

Distinct263
Distinct (%)2.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean89936400
Minimum5000000
Maximum4.745 × 109
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-11T06:59:31.965021image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5000000
5-th percentile15000000
Q120000000
median30000000
Q350000000
95-th percentile4 × 108
Maximum4.745 × 109
Range4.74 × 109
Interquartile range (IQR)30000000

Descriptive statistics

Standard deviation2.5336674 × 108
Coefficient of variation (CV)2.8171768
Kurtosis90.012265
Mean89936400
Median Absolute Deviation (MAD)10000000
Skewness8.557246
Sum8.99364 × 1011
Variance6.4194705 × 1016
MonotonicityNot monotonic
2023-12-11T06:59:32.098743image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
30000000 2557
25.6%
20000000 1844
18.4%
50000000 1503
15.0%
40000000 835
 
8.3%
10000000 421
 
4.2%
100000000 377
 
3.8%
200000000 310
 
3.1%
70000000 298
 
3.0%
500000000 264
 
2.6%
15000000 245
 
2.5%
Other values (253) 1346
13.5%
ValueCountFrequency (%)
5000000 1
 
< 0.1%
6000000 2
 
< 0.1%
7000000 2
 
< 0.1%
8000000 1
 
< 0.1%
9000000 5
 
0.1%
10000000 421
4.2%
11000000 3
 
< 0.1%
12000000 7
 
0.1%
13000000 7
 
0.1%
14000000 6
 
0.1%
ValueCountFrequency (%)
4745000000 1
 
< 0.1%
3408000000 1
 
< 0.1%
3000000000 33
0.3%
2990000000 1
 
< 0.1%
2959000000 1
 
< 0.1%
2768000000 1
 
< 0.1%
2730000000 1
 
< 0.1%
2720000000 1
 
< 0.1%
2700000000 1
 
< 0.1%
2676000000 1
 
< 0.1%

결정일자
Date

Distinct236
Distinct (%)2.4%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
Minimum2022-01-03 00:00:00
Maximum2022-12-15 00:00:00
2023-12-11T06:59:32.255068image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:59:32.381078image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

고객부담금리
Real number (ℝ)

Distinct513
Distinct (%)5.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.222927
Minimum0.2
Maximum8.09
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-11T06:59:32.514205image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.2
5-th percentile0.94
Q11.43
median2.05
Q32.79
95-th percentile4.1505
Maximum8.09
Range7.89
Interquartile range (IQR)1.36

Descriptive statistics

Standard deviation1.021195
Coefficient of variation (CV)0.45939207
Kurtosis0.53403336
Mean2.222927
Median Absolute Deviation (MAD)0.66
Skewness0.87099642
Sum22229.27
Variance1.0428393
MonotonicityNot monotonic
2023-12-11T06:59:32.648093image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1.75 272
 
2.7%
2.27 254
 
2.5%
1.04 244
 
2.4%
2.2 143
 
1.4%
0.94 136
 
1.4%
1.0 116
 
1.2%
2.5 113
 
1.1%
1.8 94
 
0.9%
2.55 89
 
0.9%
1.95 84
 
0.8%
Other values (503) 8455
84.5%
ValueCountFrequency (%)
0.2 2
< 0.1%
0.26 1
 
< 0.1%
0.3 1
 
< 0.1%
0.43 1
 
< 0.1%
0.44 1
 
< 0.1%
0.46 1
 
< 0.1%
0.48 3
< 0.1%
0.49 1
 
< 0.1%
0.51 3
< 0.1%
0.52 3
< 0.1%
ValueCountFrequency (%)
8.09 1
< 0.1%
7.54 1
< 0.1%
7.53 1
< 0.1%
7.09 1
< 0.1%
6.45 1
< 0.1%
6.39 1
< 0.1%
6.32 1
< 0.1%
6.26 1
< 0.1%
6.24 1
< 0.1%
6.18 1
< 0.1%

관할지점
Categorical

Distinct27
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
안산지점
 
636
부천지점
 
635
수원지점
 
618
성남지점
 
570
용인지점
 
531
Other values (22)
7010 

Length

Max length6
Median length4
Mean length4.0945
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row안양지점
2nd row부천지점
3rd row오산지점
4th row안양지점
5th row고양지점

Common Values

ValueCountFrequency (%)
안산지점 636
 
6.4%
부천지점 635
 
6.3%
수원지점 618
 
6.2%
성남지점 570
 
5.7%
용인지점 531
 
5.3%
고양지점 531
 
5.3%
시흥지점 514
 
5.1%
안양지점 489
 
4.9%
남양주지점 486
 
4.9%
김포지점 426
 
4.3%
Other values (17) 4564
45.6%

Length

2023-12-11T06:59:32.784812image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
안산지점 636
 
6.4%
부천지점 635
 
6.3%
수원지점 618
 
6.2%
성남지점 570
 
5.7%
용인지점 531
 
5.3%
고양지점 531
 
5.3%
시흥지점 514
 
5.1%
안양지점 489
 
4.9%
남양주지점 486
 
4.9%
김포지점 426
 
4.3%
Other values (17) 4564
45.6%

금리구분
Categorical

IMBALANCE 

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
변동
7842 
고정
2157 
<NA>
 
1

Length

Max length4
Median length2
Mean length2.0002
Min length2

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

1st row변동
2nd row변동
3rd row변동
4th row고정
5th row변동

Common Values

ValueCountFrequency (%)
변동 7842
78.4%
고정 2157
 
21.6%
<NA> 1
 
< 0.1%

Length

2023-12-11T06:59:32.907121image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:59:33.002784image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
변동 7842
78.4%
고정 2157
 
21.6%
na 1
 
< 0.1%

담보종류(자금융자신청)
Categorical

IMBALANCE 

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
재단보증서
9699 
부동산 등
 
209
신용
 
79
기타보증서
 
13

Length

Max length5
Median length5
Mean length4.9763
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
재단보증서 9699
97.0%
부동산 등 209
 
2.1%
신용 79
 
0.8%
기타보증서 13
 
0.1%

Length

2023-12-11T06:59:33.101019image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:59:33.201062image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
재단보증서 9699
95.0%
부동산 209
 
2.0%
등 209
 
2.0%
신용 79
 
0.8%
기타보증서 13
 
0.1%

담보종류(대출실행)
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
재단보증서
9596 
부동산 등
 
235
신용
 
71
기타보증서
 
51
기타
 
47

Length

Max length5
Median length5
Mean length4.9646
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
재단보증서 9596
96.0%
부동산 등 235
 
2.4%
신용 71
 
0.7%
기타보증서 51
 
0.5%
기타 47
 
0.5%

Length

2023-12-11T06:59:33.307256image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:59:33.402323image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
재단보증서 9596
93.8%
부동산 235
 
2.3%
등 235
 
2.3%
신용 71
 
0.7%
기타보증서 51
 
0.5%
기타 47
 
0.5%

대출금리
Real number (ℝ)

Distinct436
Distinct (%)4.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.809967
Minimum1
Maximum9.59
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-11T06:59:33.784089image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3.51
Q14.17
median4.8
Q35.39
95-th percentile6.61
Maximum9.59
Range8.59
Interquartile range (IQR)1.22

Descriptive statistics

Standard deviation1.0605174
Coefficient of variation (CV)0.2204833
Kurtosis1.8005808
Mean4.809967
Median Absolute Deviation (MAD)0.62
Skewness-0.52072267
Sum48099.67
Variance1.1246972
MonotonicityNot monotonic
2023-12-11T06:59:33.960479image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4.04 299
 
3.0%
5.27 294
 
2.9%
1.75 248
 
2.5%
5.2 171
 
1.7%
3.94 149
 
1.5%
5.5 99
 
1.0%
4.05 97
 
1.0%
4.8 95
 
0.9%
4.5 95
 
0.9%
3.95 87
 
0.9%
Other values (426) 8366
83.7%
ValueCountFrequency (%)
1.0 75
 
0.8%
1.75 248
2.5%
2.0 25
 
0.2%
2.05 1
 
< 0.1%
2.1 1
 
< 0.1%
2.25 26
 
0.3%
2.3 12
 
0.1%
2.55 61
 
0.6%
2.56 1
 
< 0.1%
2.8 1
 
< 0.1%
ValueCountFrequency (%)
9.59 1
 
< 0.1%
9.54 1
 
< 0.1%
8.53 1
 
< 0.1%
8.39 1
 
< 0.1%
8.09 1
 
< 0.1%
7.95 2
 
< 0.1%
7.63 1
 
< 0.1%
7.59 1
 
< 0.1%
7.54 14
0.1%
7.52 1
 
< 0.1%

추가금리할인
Categorical

IMBALANCE 

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
0.0
9993 
0.3
 
6
0.5
 
1

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

1st row0.0
2nd row0.0
3rd row0.0
4th row0.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.0 9993
99.9%
0.3 6
 
0.1%
0.5 1
 
< 0.1%

Length

2023-12-11T06:59:34.081545image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:59:34.171410image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0.0 9993
99.9%
0.3 6
 
0.1%
0.5 1
 
< 0.1%

대출금액
Real number (ℝ)

Distinct291
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean78826753
Minimum5000000
Maximum3.99645 × 109
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-11T06:59:34.276625image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5000000
5-th percentile15000000
Q120000000
median30000000
Q350000000
95-th percentile2 × 108
Maximum3.99645 × 109
Range3.99145 × 109
Interquartile range (IQR)30000000

Descriptive statistics

Standard deviation2.2995208 × 108
Coefficient of variation (CV)2.9171832
Kurtosis104.91087
Mean78826753
Median Absolute Deviation (MAD)10000000
Skewness9.392807
Sum7.8826753 × 1011
Variance5.287796 × 1016
MonotonicityNot monotonic
2023-12-11T06:59:34.414356image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
30000000 2558
25.6%
20000000 1869
18.7%
50000000 1470
14.7%
40000000 840
 
8.4%
100000000 472
 
4.7%
10000000 426
 
4.3%
70000000 296
 
3.0%
200000000 293
 
2.9%
15000000 246
 
2.5%
25000000 185
 
1.8%
Other values (281) 1345
13.5%
ValueCountFrequency (%)
5000000 1
 
< 0.1%
6000000 2
 
< 0.1%
7000000 3
 
< 0.1%
7500000 1
 
< 0.1%
8000000 2
 
< 0.1%
8500000 1
 
< 0.1%
9000000 5
 
0.1%
10000000 426
4.3%
11000000 3
 
< 0.1%
12000000 8
 
0.1%
ValueCountFrequency (%)
3996450000 1
 
< 0.1%
3400000000 1
 
< 0.1%
3000000000 26
0.3%
2990000000 1
 
< 0.1%
2982000000 1
 
< 0.1%
2768000000 1
 
< 0.1%
2700000000 1
 
< 0.1%
2680000000 1
 
< 0.1%
2470000000 1
 
< 0.1%
2424000000 1
 
< 0.1%

대출만기일자
Date

Distinct713
Distinct (%)7.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
Minimum2023-09-07 00:00:00
Maximum2031-02-10 00:00:00
2023-12-11T06:59:34.585769image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:59:34.719694image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

대출은행
Categorical

Distinct9
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
농협은행
3805 
신한은행
1819 
하나은행
1686 
우리은행
1268 
국민은행
1006 
Other values (4)
416 

Length

Max length9
Median length4
Mean length4.1014
Min length4

Unique

Unique2 ?
Unique (%)< 0.1%

Sample

1st row농협은행
2nd row하나은행
3rd row우리은행
4th row농협은행
5th row하나은행

Common Values

ValueCountFrequency (%)
농협은행 3805
38.0%
신한은행 1819
18.2%
하나은행 1686
16.9%
우리은행 1268
 
12.7%
국민은행 1006
 
10.1%
중소기업은행 352
 
3.5%
스탠다드차타드은행 62
 
0.6%
대구은행 1
 
< 0.1%
산업은행 1
 
< 0.1%

Length

2023-12-11T06:59:34.838439image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:59:34.963271image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
농협은행 3805
38.0%
신한은행 1819
18.2%
하나은행 1686
16.9%
우리은행 1268
 
12.7%
국민은행 1006
 
10.1%
중소기업은행 352
 
3.5%
스탠다드차타드은행 62
 
0.6%
대구은행 1
 
< 0.1%
산업은행 1
 
< 0.1%

대출일자
Date

Distinct247
Distinct (%)2.5%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
Minimum2022-01-06 00:00:00
Maximum2023-02-10 00:00:00
2023-12-11T06:59:35.096787image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:59:35.230656image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

대출잔액
Real number (ℝ)

ZEROS 

Distinct665
Distinct (%)6.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean73851415
Minimum0
Maximum3.4 × 109
Zeros650
Zeros (%)6.5%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-11T06:59:35.410619image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q120000000
median30000000
Q350000000
95-th percentile2 × 108
Maximum3.4 × 109
Range3.4 × 109
Interquartile range (IQR)30000000

Descriptive statistics

Standard deviation2.2413456 × 108
Coefficient of variation (CV)3.0349393
Kurtosis104.87564
Mean73851415
Median Absolute Deviation (MAD)10840000
Skewness9.4001842
Sum7.3851415 × 1011
Variance5.0236302 × 1016
MonotonicityNot monotonic
2023-12-11T06:59:35.571892image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
30000000 1191
 
11.9%
20000000 801
 
8.0%
50000000 696
 
7.0%
0 650
 
6.5%
100000000 391
 
3.9%
40000000 376
 
3.8%
200000000 267
 
2.7%
29375000 256
 
2.6%
28750000 196
 
2.0%
10000000 164
 
1.6%
Other values (655) 5012
50.1%
ValueCountFrequency (%)
0 650
6.5%
1 1
 
< 0.1%
899999 1
 
< 0.1%
1000000 1
 
< 0.1%
1200000 1
 
< 0.1%
1700000 1
 
< 0.1%
2000000 1
 
< 0.1%
2900000 1
 
< 0.1%
3650000 1
 
< 0.1%
3770000 1
 
< 0.1%
ValueCountFrequency (%)
3400000000 1
 
< 0.1%
3000000000 25
0.2%
2990000000 1
 
< 0.1%
2982000000 1
 
< 0.1%
2768000000 1
 
< 0.1%
2700000000 1
 
< 0.1%
2680000000 1
 
< 0.1%
2470000000 1
 
< 0.1%
2424000000 1
 
< 0.1%
2420000000 1
 
< 0.1%

대출최종해지일
Date

Distinct233
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
Minimum2022-02-10 00:00:00
Maximum2059-12-31 00:00:00
2023-12-11T06:59:35.771825image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:59:35.965952image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

신청금액
Real number (ℝ)

Distinct235
Distinct (%)2.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean92944400
Minimum5000000
Maximum4.8 × 109
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-11T06:59:36.113944image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5000000
5-th percentile15000000
Q120000000
median30000000
Q350000000
95-th percentile5 × 108
Maximum4.8 × 109
Range4.795 × 109
Interquartile range (IQR)30000000

Descriptive statistics

Standard deviation2.5834099 × 108
Coefficient of variation (CV)2.7795219
Kurtosis87.24106
Mean92944400
Median Absolute Deviation (MAD)10000000
Skewness8.4043902
Sum9.29444 × 1011
Variance6.6740069 × 1016
MonotonicityNot monotonic
2023-12-11T06:59:36.266512image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
30000000 2526
25.3%
20000000 1811
18.1%
50000000 1552
15.5%
40000000 827
 
8.3%
100000000 418
 
4.2%
10000000 401
 
4.0%
500000000 332
 
3.3%
70000000 316
 
3.2%
200000000 306
 
3.1%
15000000 229
 
2.3%
Other values (225) 1282
12.8%
ValueCountFrequency (%)
5000000 1
 
< 0.1%
6000000 2
 
< 0.1%
7000000 3
 
< 0.1%
8000000 1
 
< 0.1%
9000000 7
 
0.1%
10000000 401
4.0%
11000000 3
 
< 0.1%
12000000 7
 
0.1%
13000000 7
 
0.1%
14000000 4
 
< 0.1%
ValueCountFrequency (%)
4800000000 1
 
< 0.1%
3408000000 1
 
< 0.1%
3000000000 38
0.4%
2959000000 1
 
< 0.1%
2768000000 1
 
< 0.1%
2720000000 1
 
< 0.1%
2700000000 2
 
< 0.1%
2500000000 2
 
< 0.1%
2424000000 1
 
< 0.1%
2240000000 1
 
< 0.1%

신청일자
Date

Distinct267
Distinct (%)2.7%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
Minimum2022-01-03 00:00:00
Maximum2022-12-13 00:00:00
2023-12-11T06:59:36.415869image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:59:36.557772image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업종명
Text

Distinct760
Distinct (%)7.6%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-11T06:59:36.854351image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length30
Median length25
Mean length11.4344
Min length3

Characters and Unicode

Total characters114344
Distinct characters394
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique168 ?
Unique (%)1.7%

Sample

1st row외국어 학원
2nd row일반 화물 자동차 운송업
3rd row한식 음식점업
4th row한식 음식점업
5th row상품 종합 중개업
ValueCountFrequency (%)
및 2909
 
8.7%
기타 2010
 
6.0%
소매업 1481
 
4.4%
제조업 1363
 
4.1%
음식점업 1174
 
3.5%
도매업 982
 
2.9%
그외 903
 
2.7%
한식 784
 
2.4%
일반 629
 
1.9%
자동차 624
 
1.9%
Other values (1051) 20434
61.4%
2023-12-11T06:59:37.311301image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
23304
 
20.4%
업 9033
 
7.9%
기 3290
 
2.9%
및 2909
 
2.5%
매 2706
 
2.4%
식 2669
 
2.3%
제 2241
 
2.0%
타 2124
 
1.9%
점 1919
 
1.7%
품 1791
 
1.6%
Other values (384) 62358
54.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 89902
78.6%
Space Separator 23304
 
20.4%
Other Punctuation 1033
 
0.9%
Decimal Number 53
 
< 0.1%
Close Punctuation 26
 
< 0.1%
Open Punctuation 26
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
업 9033
 
10.0%
기 3290
 
3.7%
및 2909
 
3.2%
매 2706
 
3.0%
식 2669
 
3.0%
제 2241
 
2.5%
타 2124
 
2.4%
점 1919
 
2.1%
품 1791
 
2.0%
소 1747
 
1.9%
Other values (378) 59473
66.2%
Other Punctuation
ValueCountFrequency (%)
, 940
91.0%
· 93
 
9.0%
Space Separator
ValueCountFrequency (%)
23304
100.0%
Decimal Number
ValueCountFrequency (%)
1 53
100.0%
Close Punctuation
ValueCountFrequency (%)
) 26
100.0%
Open Punctuation
ValueCountFrequency (%)
( 26
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 89902
78.6%
Common 24442
 
21.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
업 9033
 
10.0%
기 3290
 
3.7%
및 2909
 
3.2%
매 2706
 
3.0%
식 2669
 
3.0%
제 2241
 
2.5%
타 2124
 
2.4%
점 1919
 
2.1%
품 1791
 
2.0%
소 1747
 
1.9%
Other values (378) 59473
66.2%
Common
ValueCountFrequency (%)
23304
95.3%
, 940
 
3.8%
· 93
 
0.4%
1 53
 
0.2%
) 26
 
0.1%
( 26
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 89902
78.6%
ASCII 24349
 
21.3%
None 93
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
23304
95.7%
, 940
 
3.9%
1 53
 
0.2%
) 26
 
0.1%
( 26
 
0.1%
Hangul
ValueCountFrequency (%)
업 9033
 
10.0%
기 3290
 
3.7%
및 2909
 
3.2%
매 2706
 
3.0%
식 2669
 
3.0%
제 2241
 
2.5%
타 2124
 
2.4%
점 1919
 
2.1%
품 1791
 
2.0%
소 1747
 
1.9%
Other values (378) 59473
66.2%
None
ValueCountFrequency (%)
· 93
100.0%

업종코드
Text

Distinct762
Distinct (%)7.6%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-11T06:59:37.603705image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length6
Mean length6
Min length6

Characters and Unicode

Total characters60000
Distinct characters28
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique168 ?
Unique (%)1.7%

Sample

1st rowP85631
2nd rowH49302
3rd rowI56111
4th rowI56111
5th rowG46109
ValueCountFrequency (%)
i56111 753
 
7.5%
g47912 392
 
3.9%
l68221 350
 
3.5%
h49301 284
 
2.8%
i56221 261
 
2.6%
s96112 218
 
2.2%
p85501 189
 
1.9%
g47122 150
 
1.5%
h49303 138
 
1.4%
i56193 117
 
1.2%
Other values (752) 7148
71.5%
2023-12-11T06:59:37.994653image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 10866
18.1%
2 8079
13.5%
9 6281
10.5%
4 5598
9.3%
6 4743
7.9%
5 3885
 
6.5%
3 3297
 
5.5%
0 3047
 
5.1%
G 2997
 
5.0%
7 2739
 
4.6%
Other values (18) 8468
14.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 50000
83.3%
Uppercase Letter 10000
 
16.7%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
G 2997
30.0%
I 1793
17.9%
C 1533
15.3%
H 789
 
7.9%
S 617
 
6.2%
P 506
 
5.1%
F 466
 
4.7%
L 357
 
3.6%
M 276
 
2.8%
R 271
 
2.7%
Other values (8) 395
 
4.0%
Decimal Number
ValueCountFrequency (%)
1 10866
21.7%
2 8079
16.2%
9 6281
12.6%
4 5598
11.2%
6 4743
9.5%
5 3885
 
7.8%
3 3297
 
6.6%
0 3047
 
6.1%
7 2739
 
5.5%
8 1465
 
2.9%

Most occurring scripts

ValueCountFrequency (%)
Common 50000
83.3%
Latin 10000
 
16.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
G 2997
30.0%
I 1793
17.9%
C 1533
15.3%
H 789
 
7.9%
S 617
 
6.2%
P 506
 
5.1%
F 466
 
4.7%
L 357
 
3.6%
M 276
 
2.8%
R 271
 
2.7%
Other values (8) 395
 
4.0%
Common
ValueCountFrequency (%)
1 10866
21.7%
2 8079
16.2%
9 6281
12.6%
4 5598
11.2%
6 4743
9.5%
5 3885
 
7.8%
3 3297
 
6.6%
0 3047
 
6.1%
7 2739
 
5.5%
8 1465
 
2.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 60000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 10866
18.1%
2 8079
13.5%
9 6281
10.5%
4 5598
9.3%
6 4743
7.9%
5 3885
 
6.5%
3 3297
 
5.5%
0 3047
 
5.1%
G 2997
 
5.0%
7 2739
 
4.6%
Other values (18) 8468
14.1%

이차보전율
Real number (ℝ)

Distinct26
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.60545
Minimum0.2
Maximum3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-11T06:59:38.117695image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.2
5-th percentile0.8
Q12.7
median3
Q33
95-th percentile3
Maximum3
Range2.8
Interquartile range (IQR)0.3

Descriptive statistics

Standard deviation0.7511243
Coefficient of variation (CV)0.28828966
Kurtosis2.0943751
Mean2.60545
Median Absolute Deviation (MAD)0
Skewness-1.8558096
Sum26054.5
Variance0.56418772
MonotonicityNot monotonic
2023-12-11T06:59:38.236543image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
3.0 6866
68.7%
2.7 1015
 
10.2%
2.0 488
 
4.9%
0.4 273
 
2.7%
1.0 186
 
1.9%
1.5 113
 
1.1%
0.8 113
 
1.1%
1.2 108
 
1.1%
1.1 104
 
1.0%
1.7 96
 
1.0%
Other values (16) 638
 
6.4%
ValueCountFrequency (%)
0.2 75
 
0.8%
0.4 273
2.7%
0.5 40
 
0.4%
0.6 63
 
0.6%
0.7 27
 
0.3%
0.8 113
1.1%
0.9 93
 
0.9%
1.0 186
1.9%
1.1 104
 
1.0%
1.2 108
 
1.1%
ValueCountFrequency (%)
3.0 6866
68.7%
2.7 1015
 
10.2%
2.6 1
 
< 0.1%
2.5 75
 
0.8%
2.4 2
 
< 0.1%
2.3 4
 
< 0.1%
2.2 8
 
0.1%
2.1 11
 
0.1%
2.0 488
 
4.9%
1.9 18
 
0.2%

추가이차보전율
Categorical

IMBALANCE 

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
0.0
9805 
0.3
 
167
0.5
 
28

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.0
2nd row0.0
3rd row0.0
4th row0.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.0 9805
98.0%
0.3 167
 
1.7%
0.5 28
 
0.3%

Length

2023-12-11T06:59:38.355901image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:59:38.442136image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0.0 9805
98.0%
0.3 167
 
1.7%
0.5 28
 
0.3%

자금대분류
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
운전자금
9779 
창업 및 경쟁력강화자금
 
221

Length

Max length12
Median length4
Mean length4.1768
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
운전자금 9779
97.8%
창업 및 경쟁력강화자금 221
 
2.2%

Length

2023-12-11T06:59:38.538031image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:59:38.632414image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
운전자금 9779
93.7%
창업 221
 
2.1%
및 221
 
2.1%
경쟁력강화자금 221
 
2.1%

자금명
Categorical

IMBALANCE 

Distinct20
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
소상공인지원
7749 
일반기업
996 
소상공인대환
 
465
혁신성장동력기업
 
181
희망특례특별
 
162
Other values (15)
 
447

Length

Max length18
Median length6
Mean length5.9267
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
소상공인지원 7749
77.5%
일반기업 996
 
10.0%
소상공인대환 465
 
4.7%
혁신성장동력기업 181
 
1.8%
희망특례특별 162
 
1.6%
사회적경제기업 75
 
0.8%
청년혁신 창업기업 74
 
0.7%
일자리창출기업 68
 
0.7%
추석절 특별경영 60
 
0.6%
소재·부품·장비국산화기업 30
 
0.3%
Other values (10) 140
 
1.4%

Length

2023-12-11T06:59:38.727253image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
소상공인지원 7749
76.2%
일반기업 996
 
9.8%
소상공인대환 465
 
4.6%
혁신성장동력기업 181
 
1.8%
희망특례특별 162
 
1.6%
특별경영 89
 
0.9%
사회적경제기업 75
 
0.7%
청년혁신 74
 
0.7%
창업기업 74
 
0.7%
일자리창출기업 68
 
0.7%
Other values (13) 242
 
2.4%

자금용도
Categorical

IMBALANCE 

Distinct42
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
경영개선자금(코로나피해)
6732 
창업자금(코로나피해)
1005 
원부자재
759 
경영개선
 
408
물품구입등
 
272
Other values (37)
824 

Length

Max length27
Median length13
Mean length11.1606
Min length2

Unique

Unique7 ?
Unique (%)0.1%

Sample

1st row경영개선자금(코로나피해)
2nd row경영개선자금(코로나피해)
3rd row경영개선자금(코로나피해)
4th row경영개선자금(코로나피해)
5th row경영개선자금(코로나피해)

Common Values

ValueCountFrequency (%)
경영개선자금(코로나피해) 6732
67.3%
창업자금(코로나피해) 1005
 
10.1%
원부자재 759
 
7.6%
경영개선 408
 
4.1%
물품구입등 272
 
2.7%
재창업기업 97
 
1.0%
인건비 95
 
0.9%
기존 경기도자금 대환 82
 
0.8%
매입비(공장) 68
 
0.7%
건축비(공장) 62
 
0.6%
Other values (32) 420
 
4.2%

Length

2023-12-11T06:59:38.851628image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
경영개선자금(코로나피해 6732
64.7%
창업자금(코로나피해 1005
 
9.7%
원부자재 759
 
7.3%
경영개선 408
 
3.9%
물품구입등 272
 
2.6%
재창업기업 97
 
0.9%
인건비 95
 
0.9%
기존 82
 
0.8%
경기도자금 82
 
0.8%
대환 82
 
0.8%
Other values (53) 789
 
7.6%

재원
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
협조
9547 
기금
 
453

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
협조 9547
95.5%
기금 453
 
4.5%

Length

2023-12-11T06:59:38.953619image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:59:39.036257image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
협조 9547
95.5%
기금 453
 
4.5%

접수구분
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
내방
9712 
온라인
 
288

Length

Max length3
Median length2
Mean length2.0288
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
내방 9712
97.1%
온라인 288
 
2.9%

Length

2023-12-11T06:59:39.355214image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:59:39.439927image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
내방 9712
97.1%
온라인 288
 
2.9%

접수일자
Date

Distinct262
Distinct (%)2.6%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
Minimum2022-01-03 00:00:00
Maximum2022-12-13 00:00:00
2023-12-11T06:59:39.531030image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:59:39.647830image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

진행현황
Categorical

IMBALANCE 

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
대출실행
9760 
지원결정
 
233
대출취소
 
7

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
대출실행 9760
97.6%
지원결정 233
 
2.3%
대출취소 7
 
0.1%

Length

2023-12-11T06:59:39.760486image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:59:39.842148image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
대출실행 9760
97.6%
지원결정 233
 
2.3%
대출취소 7
 
0.1%

Sample

관할시군명결정금액결정일자고객부담금리관할지점금리구분담보종류(자금융자신청)담보종류(대출실행)대출금리추가금리할인대출금액대출만기일자대출은행대출일자대출잔액대출최종해지일신청금액신청일자업종명업종코드이차보전율추가이차보전율자금대분류자금명자금용도재원접수구분접수일자진행현황
11674안양시200000002022-01-271.06안양지점변동재단보증서재단보증서4.060.0200000002027-01-28농협은행2022-01-28187400002023-04-28200000002022-01-24외국어 학원P856313.00.0운전자금소상공인지원경영개선자금(코로나피해)협조내방2022-01-24대출실행
16251부천시450000002022-02-182.07부천지점변동재단보증서재단보증서4.070.0450000002027-03-05하나은행2022-03-0702022-09-07450000002022-02-15일반 화물 자동차 운송업H493022.00.0운전자금소상공인지원경영개선자금(코로나피해)협조내방2022-02-15대출실행
13479오산시500000002022-07-122.02오산지점변동재단보증서재단보증서5.020.0500000002027-07-20우리은행2022-07-20500000002059-12-31500000002022-07-01한식 음식점업I561113.00.0운전자금소상공인지원경영개선자금(코로나피해)협조내방2022-07-01대출실행
10846안양시300000002022-01-201.47안양지점고정재단보증서재단보증서4.470.0300000002027-01-15농협은행2022-01-24281100002023-04-17300000002022-01-18한식 음식점업I561113.00.0운전자금소상공인지원경영개선자금(코로나피해)협조내방2022-01-18대출실행
4078고양시300000002022-08-292.56고양지점변동재단보증서재단보증서5.560.0300000002027-09-03하나은행2022-09-05300000002059-12-31300000002022-08-19상품 종합 중개업G461093.00.0운전자금소상공인지원경영개선자금(코로나피해)협조내방2022-08-23대출실행
3946남양주시300000002022-01-190.86남양주지점변동재단보증서재단보증서3.860.0300000002027-01-22신한은행2022-01-24281250002023-04-24300000002022-01-18개별 화물 자동차 운송업H493033.00.0운전자금소상공인지원경영개선자금(코로나피해)협조내방2022-01-18대출실행
967파주시5000000002022-03-303.89파주지점변동부동산 등부동산 등5.090.05000000002025-03-30중소기업은행2022-04-075000000002059-12-315000000002022-03-23플라스틱 필름 제조업C222121.20.0운전자금일반기업원부자재협조온라인2022-03-23대출실행
12929안산시300000002022-09-142.89안산지점고정재단보증서재단보증서5.890.0300000002027-09-13농협은행2022-09-15300000002059-12-31300000002022-09-06그외 기타 분류안된 운송관련 서비스업H529993.00.0운전자금소상공인지원경영개선자금(코로나피해)협조내방2022-09-06대출실행
2513부천시200000002022-09-022.56부천지점변동재단보증서재단보증서5.560.0200000002027-09-07농협은행2022-09-07200000002059-12-31200000002022-09-01당구장 운영업R911353.00.0운전자금소상공인지원경영개선자금(코로나피해)협조내방2022-09-01대출실행
3079남양주시2370000002022-06-204.05남양주지점고정재단보증서재단보증서5.250.02200000002025-06-27농협은행2022-06-282200000002059-12-315000000002022-05-31물질 검사, 측정 및 분석기구 제조업C272131.20.0운전자금일반기업원부자재협조내방2022-05-31대출실행
관할시군명결정금액결정일자고객부담금리관할지점금리구분담보종류(자금융자신청)담보종류(대출실행)대출금리추가금리할인대출금액대출만기일자대출은행대출일자대출잔액대출최종해지일신청금액신청일자업종명업종코드이차보전율추가이차보전율자금대분류자금명자금용도재원접수구분접수일자진행현황
9732수원시300000002022-02-071.12수원지점변동재단보증서재단보증서4.120.0300000002027-02-10농협은행2022-02-1002023-04-06300000002022-02-06부동산 중개 및 대리업L682213.00.0운전자금소상공인지원경영개선자금(코로나피해)협조내방2022-02-06대출실행
5178하남시2350000002022-03-172.68기술평가센터변동부동산 등부동산 등3.980.02350000002030-03-25신한은행2022-03-252350000002059-12-312350000002022-03-17그외 기타 의료용 기기 제조업C271991.30.5창업 및 경쟁력강화자금벤처창업기업지식산업센터 입주비(분양, 매입)협조내방2022-03-17대출실행
4036의왕시300000002022-02-150.8군포지점변동재단보증서재단보증서3.80.0300000002027-02-22신한은행2022-02-22287500002023-04-24300000002022-02-04배전반 및 전기 자동제어반 제조업C281233.00.0운전자금소상공인지원경영개선자금(코로나피해)협조내방2022-02-04대출실행
3330안산시30000000002022-05-023.63안성지점변동부동산 등부동산 등4.630.030000000002030-06-27중소기업은행2022-06-2730000000002059-12-3130000000002022-04-22그외 기타 일반목적용 기계 제조업C291991.00.0창업 및 경쟁력강화자금일반기업매입비(공장)협조내방2022-04-25대출실행
13571파주시300000002022-03-181.96파주지점변동재단보증서재단보증서4.960.0300000002027-03-25우리은행2022-03-25291400002023-04-25300000002022-03-17화장품 제조업C204233.00.0운전자금소상공인지원경영개선자금(코로나피해)협조내방2022-03-17대출실행
10347용인시200000002022-01-131.4용인지점변동재단보증서재단보증서4.40.0200000002027-01-28우리은행2022-01-28184500002023-04-28200000002022-01-13유선 통신장비 제조업C264103.00.0운전자금소상공인지원경영개선자금(코로나피해)협조내방2022-01-13대출실행
4182김포시400000002022-03-081.23김포지점변동재단보증서재단보증서4.230.0400000002027-03-10농협은행2022-03-10400000002059-12-31400000002022-03-06전자상거래 소매업G479123.00.0운전자금소상공인지원경영개선자금(코로나피해)협조내방2022-03-06대출실행
3414고양시2000000002022-05-261.75고양지점고정재단보증서재단보증서1.750.02000000002027-06-28하나은행2022-07-052000000002059-12-312000000002022-05-181차 금속제품 도매업G467210.40.0운전자금혁신성장동력기업원부자재기금내방2022-05-18대출실행
762용인시300000002022-01-241.44용인지점변동재단보증서재단보증서4.440.0300000002027-01-25농협은행2022-01-25261100002023-04-28300000002022-01-24그외 기타 분류안된 상품 전문 소매업G478593.00.0운전자금소상공인지원경영개선자금(코로나피해)협조내방2022-01-24대출실행
11857용인시300000002022-02-281.33용인지점변동재단보증서재단보증서4.330.0300000002027-03-11신한은행2022-03-11293750002023-04-11300000002022-02-28남자용 겉옷 소매업G474113.00.0운전자금소상공인지원경영개선자금(코로나피해)협조내방2022-02-28대출실행

Duplicate rows

Most frequently occurring

관할시군명결정금액결정일자고객부담금리관할지점금리구분담보종류(자금융자신청)담보종류(대출실행)대출금리추가금리할인대출금액대출만기일자대출은행대출일자대출잔액대출최종해지일신청금액신청일자업종명업종코드이차보전율추가이차보전율자금대분류자금명자금용도재원접수구분접수일자진행현황# duplicates
0시흥시200000002022-07-072.18시흥지점변동재단보증서재단보증서5.180.0200000002027-07-13하나은행2022-07-13200000002059-12-31200000002022-07-06택시 운송업H492313.00.0운전자금소상공인지원경영개선자금(코로나피해)협조내방2022-07-06대출실행2
1파주시5800000002022-06-093.29고양지점변동재단보증서부동산 등4.190.04100000002030-06-19하나은행2022-07-124100000002059-12-315800000002022-05-24배합 사료 제조업C108010.90.0창업 및 경쟁력강화자금일반기업건축비(공장)협조내방2022-05-24대출실행2