Overview

Dataset statistics

Number of variables12
Number of observations10000
Missing cells1430
Missing cells (%)1.2%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.0 MiB
Average record size in memory106.0 B

Variable types

Numeric2
Categorical5
DateTime4
Text1

Dataset

Description경상북도 김천시의 세외수입 신용카드 수납정보로 수납일자, 회계일자, 발급사, 매입사, 납부구분, 세목명, 수납금액 정보를 제공합니다.
Author경상북도 김천시
URLhttps://www.data.go.kr/data/15093515/fileData.do

Alerts

자치단체 has constant value ""Constant
데이터기준일자 has constant value ""Constant
납부구분 is highly overall correlated with 부서 and 2 other fieldsHigh correlation
세목명 is highly overall correlated with 부서 and 1 other fieldsHigh correlation
연번 is highly overall correlated with 부서High correlation
부서 is highly overall correlated with 연번 and 2 other fieldsHigh correlation
매입사 is highly overall correlated with 납부구분High correlation
납부구분 is highly imbalanced (58.7%)Imbalance
세목명 is highly imbalanced (56.6%)Imbalance
발급사 has 1430 (14.3%) missing valuesMissing
수납금액 is highly skewed (γ1 = 43.39390466)Skewed
연번 has unique valuesUnique

Reproduction

Analysis started2023-12-12 03:14:18.409552
Analysis finished2023-12-12 03:14:20.291190
Duration1.88 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct10000
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean17963.552
Minimum6
Maximum35998
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T12:14:20.367600image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum6
5-th percentile1822.85
Q19069.25
median17865
Q326933.25
95-th percentile34254.3
Maximum35998
Range35992
Interquartile range (IQR)17864

Descriptive statistics

Standard deviation10389.933
Coefficient of variation (CV)0.57838968
Kurtosis-1.1870546
Mean17963.552
Median Absolute Deviation (MAD)8930.5
Skewness0.0061257845
Sum1.7963552 × 108
Variance1.0795071 × 108
MonotonicityNot monotonic
2023-12-12T12:14:20.523829image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
31168 1
 
< 0.1%
19631 1
 
< 0.1%
30757 1
 
< 0.1%
26784 1
 
< 0.1%
25507 1
 
< 0.1%
31470 1
 
< 0.1%
2715 1
 
< 0.1%
33231 1
 
< 0.1%
10044 1
 
< 0.1%
32886 1
 
< 0.1%
Other values (9990) 9990
99.9%
ValueCountFrequency (%)
6 1
< 0.1%
10 1
< 0.1%
15 1
< 0.1%
20 1
< 0.1%
21 1
< 0.1%
23 1
< 0.1%
27 1
< 0.1%
28 1
< 0.1%
30 1
< 0.1%
33 1
< 0.1%
ValueCountFrequency (%)
35998 1
< 0.1%
35997 1
< 0.1%
35993 1
< 0.1%
35992 1
< 0.1%
35988 1
< 0.1%
35987 1
< 0.1%
35986 1
< 0.1%
35978 1
< 0.1%
35976 1
< 0.1%
35974 1
< 0.1%

자치단체
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
김천시
10000 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
김천시 10000
100.0%

Length

2023-12-12T12:14:20.670982image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T12:14:20.800901image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
김천시 10000
100.0%

부서
Categorical

HIGH CORRELATION 

Distinct30
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
50601690000 율곡동
2014 
50600480000 대신동
1596 
50603000000 열린민원과
1095 
50600490000 대곡동
1050 
50600500000 지좌동
563 
Other values (25)
3682 

Length

Max length24
Median length15
Mean length15.33
Min length14

Unique

Unique2 ?
Unique (%)< 0.1%

Sample

1st row50601690000 율곡동
2nd row50600480000 대신동
3rd row50600480000 대신동
4th row50600500000 지좌동
5th row50600490000 대곡동

Common Values

ValueCountFrequency (%)
50601690000 율곡동 2014
20.1%
50600480000 대신동 1596
16.0%
50603000000 열린민원과 1095
10.9%
50600490000 대곡동 1050
10.5%
50600500000 지좌동 563
 
5.6%
50601380000 자산동 507
 
5.1%
50600280000 아포읍 487
 
4.9%
50601390000 평화남산동 477
 
4.8%
50600290000 농소면 301
 
3.0%
50600330000 어모면 272
 
2.7%
Other values (20) 1638
16.4%

Length

2023-12-12T12:14:20.946928image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
50601690000 2014
 
10.1%
율곡동 2014
 
10.1%
50600480000 1596
 
8.0%
대신동 1596
 
8.0%
50603000000 1095
 
5.5%
열린민원과 1095
 
5.5%
50600490000 1050
 
5.2%
대곡동 1050
 
5.2%
50600500000 563
 
2.8%
지좌동 563
 
2.8%
Other values (50) 7364
36.8%

수납일자
Date

Distinct196
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
Minimum2023-01-02 00:00:00
Maximum2023-10-18 00:00:00
2023-12-12T12:14:21.120843image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:14:21.294795image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

회계일자
Date

Distinct195
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
Minimum2023-01-02 00:00:00
Maximum2023-10-18 00:00:00
2023-12-12T12:14:21.469218image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:14:21.629907image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

이체일자
Date

Distinct195
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
Minimum2023-01-09 00:00:00
Maximum2023-10-25 00:00:00
2023-12-12T12:14:21.805163image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:14:22.330891image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

발급사
Text

MISSING 

Distinct100
Distinct (%)1.2%
Missing1430
Missing (%)14.3%
Memory size156.2 KiB
2023-12-12T12:14:22.629162image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length11
Mean length5.6270712
Min length4

Characters and Unicode

Total characters48224
Distinct characters108
Distinct categories4 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique18 ?
Unique (%)0.2%

Sample

1st rowKB국민비씨카드
2nd row신한카드체크
3rd row신한카드체크
4th row삼성카드
5th row신한카드
ValueCountFrequency (%)
nh체크카드 1357
 
14.6%
nh카드 899
 
9.7%
kb국민카드 486
 
5.2%
신한카드체크 398
 
4.3%
카카오뱅크체크 341
 
3.7%
kb체크카드 341
 
3.7%
신한카드 340
 
3.7%
롯데카드 310
 
3.3%
현대비자개인 292
 
3.1%
삼성 267
 
2.9%
Other values (95) 4254
45.8%
2023-12-12T12:14:23.119010image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
카 6491
 
13.5%
드 5769
 
12.0%
크 3903
 
8.1%
체 3513
 
7.3%
N 3037
 
6.3%
H 3037
 
6.3%
비 1282
 
2.7%
B 1251
 
2.6%
K 1220
 
2.5%
신 1205
 
2.5%
Other values (98) 17516
36.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 37041
76.8%
Uppercase Letter 9186
 
19.0%
Lowercase Letter 1282
 
2.7%
Space Separator 715
 
1.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
카 6491
17.5%
드 5769
15.6%
크 3903
 
10.5%
체 3513
 
9.5%
비 1282
 
3.5%
신 1205
 
3.3%
한 1069
 
2.9%
씨 877
 
2.4%
대 754
 
2.0%
성 673
 
1.8%
Other values (69) 11505
31.1%
Uppercase Letter
ValueCountFrequency (%)
N 3037
33.1%
H 3037
33.1%
B 1251
13.6%
K 1220
13.3%
I 276
 
3.0%
P 96
 
1.0%
C 65
 
0.7%
J 58
 
0.6%
T 53
 
0.6%
D 43
 
0.5%
Other values (6) 50
 
0.5%
Lowercase Letter
ValueCountFrequency (%)
i 256
20.0%
n 192
15.0%
m 191
14.9%
a 181
14.1%
t 141
11.0%
u 141
11.0%
l 89
 
6.9%
o 43
 
3.4%
d 43
 
3.4%
r 3
 
0.2%
Other values (2) 2
 
0.2%
Space Separator
ValueCountFrequency (%)
715
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 37041
76.8%
Latin 10468
 
21.7%
Common 715
 
1.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
카 6491
17.5%
드 5769
15.6%
크 3903
 
10.5%
체 3513
 
9.5%
비 1282
 
3.5%
신 1205
 
3.3%
한 1069
 
2.9%
씨 877
 
2.4%
대 754
 
2.0%
성 673
 
1.8%
Other values (69) 11505
31.1%
Latin
ValueCountFrequency (%)
N 3037
29.0%
H 3037
29.0%
B 1251
12.0%
K 1220
11.7%
I 276
 
2.6%
i 256
 
2.4%
n 192
 
1.8%
m 191
 
1.8%
a 181
 
1.7%
t 141
 
1.3%
Other values (18) 686
 
6.6%
Common
ValueCountFrequency (%)
715
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 37041
76.8%
ASCII 11183
 
23.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
카 6491
17.5%
드 5769
15.6%
크 3903
 
10.5%
체 3513
 
9.5%
비 1282
 
3.5%
신 1205
 
3.3%
한 1069
 
2.9%
씨 877
 
2.4%
대 754
 
2.0%
성 673
 
1.8%
Other values (69) 11505
31.1%
ASCII
ValueCountFrequency (%)
N 3037
27.2%
H 3037
27.2%
B 1251
11.2%
K 1220
10.9%
715
 
6.4%
I 276
 
2.5%
i 256
 
2.3%
n 192
 
1.7%
m 191
 
1.7%
a 181
 
1.6%
Other values (19) 827
 
7.4%

매입사
Categorical

HIGH CORRELATION 

Distinct9
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
NH카드
2709 
BC카드
1551 
증지수입_수납
1430 
국민카드
1273 
신한카드
1045 
Other values (4)
1992 

Length

Max length7
Median length4
Mean length4.429
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowBC카드
2nd row신한카드
3rd row신한카드
4th row삼성카드
5th row신한카드

Common Values

ValueCountFrequency (%)
NH카드 2709
27.1%
BC카드 1551
15.5%
증지수입_수납 1430
14.3%
국민카드 1273
12.7%
신한카드 1045
 
10.4%
삼성카드 673
 
6.7%
현대카드 596
 
6.0%
외환카드 406
 
4.1%
롯데카드 317
 
3.2%

Length

2023-12-12T12:14:23.321488image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T12:14:23.503984image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
nh카드 2709
27.1%
bc카드 1551
15.5%
증지수입_수납 1430
14.3%
국민카드 1273
12.7%
신한카드 1045
 
10.4%
삼성카드 673
 
6.7%
현대카드 596
 
6.0%
외환카드 406
 
4.1%
롯데카드 317
 
3.2%

납부구분
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
증지수입
8495 
증지수입_수납
1430 
단말기
 
75

Length

Max length7
Median length4
Mean length4.4215
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
증지수입 8495
85.0%
증지수입_수납 1430
 
14.3%
단말기 75
 
0.8%

Length

2023-12-12T12:14:23.677773image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T12:14:23.825032image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
증지수입 8495
85.0%
증지수입_수납 1430
 
14.3%
단말기 75
 
0.8%

세목명
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct20
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
[증지수입]인증기용증지
5705 
[증지수입]통합민원인증기수입
1868 
인증기용증지수입
950 
[기타수수료]대형생활폐기물
922 
대형생활폐기물처리수수료
 
373
Other values (15)
 
182

Length

Max length15
Median length12
Mean length12.3169
Min length5

Unique

Unique7 ?
Unique (%)0.1%

Sample

1st row[증지수입]인증기용증지
2nd row[증지수입]통합민원인증기수입
3rd row[증지수입]통합민원인증기수입
4th row[기타수수료]대형생활폐기물
5th row[기타수수료]대형생활폐기물

Common Values

ValueCountFrequency (%)
[증지수입]인증기용증지 5705
57.0%
[증지수입]통합민원인증기수입 1868
 
18.7%
인증기용증지수입 950
 
9.5%
[기타수수료]대형생활폐기물 922
 
9.2%
대형생활폐기물처리수수료 373
 
3.7%
통합민원인증기수입 108
 
1.1%
주정차위반과태료 34
 
0.3%
자동차검사지연과태료 9
 
0.1%
자동차손해배상보장법위반과태료 8
 
0.1%
부동산실권리자명의등기법과징금 7
 
0.1%
Other values (10) 16
 
0.2%

Length

2023-12-12T12:14:23.977073image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
증지수입]인증기용증지 5705
57.0%
증지수입]통합민원인증기수입 1868
 
18.7%
인증기용증지수입 950
 
9.5%
기타수수료]대형생활폐기물 922
 
9.2%
대형생활폐기물처리수수료 373
 
3.7%
통합민원인증기수입 108
 
1.1%
주정차위반과태료 34
 
0.3%
자동차검사지연과태료 9
 
0.1%
자동차손해배상보장법위반과태료 8
 
0.1%
부동산실권리자명의등기법과징금 7
 
0.1%
Other values (10) 16
 
0.2%

수납금액
Real number (ℝ)

SKEWED 

Distinct577
Distinct (%)5.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11365.055
Minimum100
Maximum6575400
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T12:14:24.163013image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum100
5-th percentile400
Q1800
median1800
Q35000
95-th percentile35000
Maximum6575400
Range6575300
Interquartile range (IQR)4200

Descriptive statistics

Standard deviation97851.253
Coefficient of variation (CV)8.6098354
Kurtosis2471.8153
Mean11365.055
Median Absolute Deviation (MAD)1200
Skewness43.393905
Sum1.1365055 × 108
Variance9.5748678 × 109
MonotonicityNot monotonic
2023-12-12T12:14:24.375301image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1000 1041
 
10.4%
600 1038
 
10.4%
400 998
 
10.0%
2000 592
 
5.9%
1200 487
 
4.9%
1400 350
 
3.5%
800 339
 
3.4%
3000 339
 
3.4%
5000 322
 
3.2%
1600 235
 
2.4%
Other values (567) 4259
42.6%
ValueCountFrequency (%)
100 4
 
< 0.1%
200 1
 
< 0.1%
300 37
 
0.4%
400 998
10.0%
500 200
 
2.0%
600 1038
10.4%
700 29
 
0.3%
800 339
 
3.4%
900 27
 
0.3%
1000 1041
10.4%
ValueCountFrequency (%)
6575400 1
< 0.1%
4140020 1
< 0.1%
2994770 1
< 0.1%
2082600 1
< 0.1%
2000000 1
< 0.1%
1209720 1
< 0.1%
964600 1
< 0.1%
802000 1
< 0.1%
747800 1
< 0.1%
705000 1
< 0.1%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
Minimum2023-10-18 00:00:00
Maximum2023-10-18 00:00:00
2023-12-12T12:14:24.510136image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:14:24.634793image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2023-12-12T12:14:19.591530image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:14:19.358759image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:14:19.739298image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:14:19.482913image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T12:14:24.716390image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번부서발급사매입사납부구분세목명수납금액
연번1.0000.9870.3410.2070.3410.6540.048
부서0.9871.0000.6780.2980.8970.9510.000
발급사0.3410.6781.0001.0000.2180.6600.000
매입사0.2070.2981.0001.0000.9380.6880.044
납부구분0.3410.8970.2180.9381.0000.9930.437
세목명0.6540.9510.6600.6880.9931.0000.746
수납금액0.0480.0000.0000.0440.4370.7461.000
2023-12-12T12:14:24.871824image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
부서납부구분세목명매입사
부서1.0000.6780.6000.115
납부구분0.6781.0000.9920.707
세목명0.6000.9921.0000.355
매입사0.1150.7070.3551.000
2023-12-12T12:14:24.997381image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번수납금액부서매입사납부구분세목명
연번1.0000.0580.8170.0950.2170.265
수납금액0.0581.0000.0000.0220.2010.465
부서0.8170.0001.0000.1150.6780.600
매입사0.0950.0220.1151.0000.7070.355
납부구분0.2170.2010.6780.7071.0000.992
세목명0.2650.4650.6000.3550.9921.000

Missing values

2023-12-12T12:14:19.918400image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T12:14:20.192421image/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

연번자치단체부서수납일자회계일자이체일자발급사매입사납부구분세목명수납금액데이터기준일자
3116731168김천시50601690000 율곡동2023-09-152023-09-152023-09-22KB국민비씨카드BC카드증지수입[증지수입]인증기용증지4002023-10-18
1422314224김천시50600480000 대신동2023-08-282023-08-282023-09-04신한카드체크신한카드증지수입[증지수입]통합민원인증기수입138002023-10-18
1229212293김천시50600480000 대신동2023-05-182023-05-182023-05-25신한카드체크신한카드증지수입[증지수입]통합민원인증기수입8002023-10-18
1939019391김천시50600500000 지좌동2023-03-222023-03-222023-03-29삼성카드삼성카드증지수입[기타수수료]대형생활폐기물30002023-10-18
1745617457김천시50600490000 대곡동2023-06-202023-06-202023-06-27신한카드신한카드증지수입[기타수수료]대형생활폐기물50002023-10-18
1408114082김천시50600480000 대신동2023-08-222023-08-222023-08-29KB국민카드국민카드증지수입[기타수수료]대형생활폐기물30002023-10-18
1277512776김천시50600480000 대신동2023-06-142023-06-142023-06-21NH카드NH카드증지수입[증지수입]통합민원인증기수입15002023-10-18
92539254김천시50600470000 양금동2023-06-052023-06-052023-06-13NH카드NH카드증지수입[증지수입]인증기용증지11002023-10-18
2877828779김천시50601690000 율곡동2023-06-122023-06-122023-06-19우리체크BC카드증지수입[증지수입]인증기용증지20002023-10-18
1246512466김천시50600480000 대신동2023-05-262023-05-262023-06-05롯데카드롯데카드증지수입[증지수입]통합민원인증기수입30002023-10-18
연번자치단체부서수납일자회계일자이체일자발급사매입사납부구분세목명수납금액데이터기준일자
2187921880김천시50601380000 자산동2023-06-092023-06-092023-06-16NH체크카드NH카드증지수입[증지수입]인증기용증지10002023-10-18
3562835629김천시50603000000 열린민원과2023-10-062023-10-062023-10-16NH카드NH카드증지수입[증지수입]통합민원인증기수입20002023-10-18
58845885김천시50600340000 봉산면2023-06-192023-06-192023-06-26NH체크카드NH카드증지수입[증지수입]인증기용증지4002023-10-18
3125831259김천시50601690000 율곡동2023-09-192023-09-192023-09-26카카오뱅크체크국민카드증지수입[증지수입]인증기용증지8002023-10-18
2525825259김천시50601690000 율곡동2023-02-012023-02-012023-02-08KB국민카드국민카드증지수입[증지수입]인증기용증지6002023-10-18
1476314764김천시50600480000 대신동2023-09-252023-09-252023-10-06우리카드BC카드증지수입[증지수입]통합민원인증기수입18002023-10-18
3050130502김천시50601690000 율곡동2023-08-182023-08-182023-08-25현대로컬개인현대카드증지수입[증지수입]인증기용증지6002023-10-18
1921519216김천시50600500000 지좌동2023-02-272023-02-272023-03-07IBK비씨체크BC카드증지수입[증지수입]인증기용증지6002023-10-18
2361523616김천시50601390000 평화남산동2023-05-222023-05-222023-05-30NH TitaniumNH카드증지수입[증지수입]인증기용증지5002023-10-18
1530115302김천시50600490000 대곡동2023-01-112023-01-112023-01-18현대 카드현대카드증지수입[증지수입]인증기용증지4002023-10-18