Overview

Dataset statistics

Number of variables29
Number of observations10000
Missing cells12893
Missing cells (%)4.4%
Duplicate rows723
Duplicate rows (%)7.2%
Total size in memory2.5 MiB
Average record size in memory260.0 B

Variable types

Categorical10
DateTime4
Numeric14
Boolean1

Dataset

Description오산시 지방세 ARS카드납부시스템의 지방세에 대한 데이터로 세목명, 부과일자, 부과금액 등의 항목을 제공합니다.
URLhttps://www.data.go.kr/data/15081650/fileData.do

Alerts

시군구코드 has constant value ""Constant
시군구명 has constant value ""Constant
구분 has constant value ""Constant
도시계획세_잔액 has constant value ""Constant
도시계획세_본세 has constant value ""Constant
도시계획세_가산금 has constant value ""Constant
분납여부 has constant value ""Constant
Dataset has 723 (7.2%) duplicate rowsDuplicates
농특세_가산금 is highly imbalanced (99.9%)Imbalance
압류여부 is highly imbalanced (90.2%)Imbalance
징수일자 has 2889 (28.9%) missing valuesMissing
분납여부 has 9988 (99.9%) missing valuesMissing
본세_잔액 is highly skewed (γ1 = 22.65344231)Skewed
공동세_잔액 is highly skewed (γ1 = 25.79122711)Skewed
지방교육세_잔액 is highly skewed (γ1 = 26.60222324)Skewed
농특세_잔액 is highly skewed (γ1 = 33.58844365)Skewed
본세_본세 is highly skewed (γ1 = 22.72843674)Skewed
공동세_본세 is highly skewed (γ1 = 25.21970294)Skewed
지방교육세_본세 is highly skewed (γ1 = 26.64913276)Skewed
농특세_본세 is highly skewed (γ1 = 33.63641221)Skewed
합계_본세 is highly skewed (γ1 = 23.19705491)Skewed
본세_가산금 is highly skewed (γ1 = 78.92762557)Skewed
공동세_가산금 is highly skewed (γ1 = 57.61193352)Skewed
교육비_가산금 is highly skewed (γ1 = 52.73090084)Skewed
합계_가산금 is highly skewed (γ1 = 75.15470193)Skewed
우편번호 is highly skewed (γ1 = 21.01170134)Skewed
공동세_잔액 has 7123 (71.2%) zerosZeros
지방교육세_잔액 has 1517 (15.2%) zerosZeros
농특세_잔액 has 9904 (99.0%) zerosZeros
공동세_본세 has 7128 (71.3%) zerosZeros
지방교육세_본세 has 1533 (15.3%) zerosZeros
농특세_본세 has 9904 (99.0%) zerosZeros
본세_가산금 has 8461 (84.6%) zerosZeros
공동세_가산금 has 9571 (95.7%) zerosZeros
교육비_가산금 has 8708 (87.1%) zerosZeros
합계_가산금 has 8460 (84.6%) zerosZeros

Reproduction

Analysis started2023-12-12 04:13:47.600622
Analysis finished2023-12-12 04:13:48.257696
Duration0.66 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시군구코드
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
41370
10000 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row41370
2nd row41370
3rd row41370
4th row41370
5th row41370

Common Values

ValueCountFrequency (%)
41370 10000
100.0%

Length

2023-12-12T13:13:48.362770image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T13:13:48.527882image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
41370 10000
100.0%

시군구명
Categorical

CONSTANT 

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

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
경기도 오산시 10000
100.0%

Length

2023-12-12T13:13:48.657465image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T13:13:48.806810image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
경기도 10000
50.0%
오산시 10000
50.0%

부과일자
Date

Distinct262
Distinct (%)2.6%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
Minimum2022-01-03 00:00:00
Maximum2022-12-30 00:00:00
2023-12-12T13:13:48.963249image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:13:49.176863image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

징수일자
Date

MISSING 

Distinct54
Distinct (%)0.8%
Missing2889
Missing (%)28.9%
Memory size156.2 KiB
Minimum2022-01-03 00:00:00
Maximum2022-12-22 00:00:00
2023-12-12T13:13:49.346686image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:13:49.490604image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

최초납기
Date

Distinct224
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
Minimum2022-01-07 00:00:00
Maximum2023-05-02 00:00:00
2023-12-12T13:13:49.640269image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:13:49.783915image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

가산납기
Date

Distinct225
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
Minimum2022-01-07 00:00:00
Maximum2023-05-02 00:00:00
2023-12-12T13:13:49.917671image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:13:50.105365image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

구분
Categorical

CONSTANT 

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

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
지방세 10000
100.0%

Length

2023-12-12T13:13:50.240152image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T13:13:50.342699image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
지방세 10000
100.0%

세목명
Categorical

Distinct21
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
자동차세(자동차)
3699 
재산세(주택)
2930 
주민세(개인분)
956 
등록면허세(면허)
945 
등록면허세(등록)
 
319
Other values (16)
1151 

Length

Max length11
Median length9
Mean length8.2631
Min length7

Unique

Unique2 ?
Unique (%)< 0.1%

Sample

1st row지방소득세(특별징수)
2nd row자동차세(자동차)
3rd row자동차세(자동차)
4th row자동차세(자동차)
5th row재산세(주택)

Common Values

ValueCountFrequency (%)
자동차세(자동차) 3699
37.0%
재산세(주택) 2930
29.3%
주민세(개인분) 956
 
9.6%
등록면허세(면허) 945
 
9.4%
등록면허세(등록) 319
 
3.2%
취득세(부동산) 290
 
2.9%
재산세(건축물) 246
 
2.5%
재산세(토지) 237
 
2.4%
지방소득세(종합소득) 140
 
1.4%
주민세(사업소분) 90
 
0.9%
Other values (11) 148
 
1.5%

Length

2023-12-12T13:13:50.475445image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
자동차세(자동차 3699
37.0%
재산세(주택 2930
29.3%
주민세(개인분 956
 
9.6%
등록면허세(면허 945
 
9.4%
등록면허세(등록 319
 
3.2%
취득세(부동산 290
 
2.9%
재산세(건축물 246
 
2.5%
재산세(토지 237
 
2.4%
지방소득세(종합소득 140
 
1.4%
주민세(사업소분 90
 
0.9%
Other values (11) 148
 
1.5%

본세_잔액
Real number (ℝ)

SKEWED 

Distinct3766
Distinct (%)37.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean250149.05
Minimum0
Maximum62200000
Zeros12
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T13:13:50.625578image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile9998
Q127702.5
median93760
Q3176995
95-th percentile471590.5
Maximum62200000
Range62200000
Interquartile range (IQR)149292.5

Descriptive statistics

Standard deviation1365393.6
Coefficient of variation (CV)5.4583201
Kurtosis719.25343
Mean250149.05
Median Absolute Deviation (MAD)71260
Skewness22.653442
Sum2.5014906 × 109
Variance1.8642997 × 1012
MonotonicityNot monotonic
2023-12-12T13:13:50.848361image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
10000 617
 
6.2%
15000 509
 
5.1%
10300 297
 
3.0%
6000 216
 
2.2%
22500 126
 
1.3%
7500 111
 
1.1%
99900 84
 
0.8%
181510 77
 
0.8%
50000 77
 
0.8%
15450 72
 
0.7%
Other values (3756) 7814
78.1%
ValueCountFrequency (%)
0 12
0.1%
160 1
 
< 0.1%
180 1
 
< 0.1%
580 1
 
< 0.1%
720 1
 
< 0.1%
1140 1
 
< 0.1%
1210 1
 
< 0.1%
1250 1
 
< 0.1%
1940 1
 
< 0.1%
2040 1
 
< 0.1%
ValueCountFrequency (%)
62200000 1
< 0.1%
45000000 1
< 0.1%
36000000 1
< 0.1%
31800000 1
< 0.1%
30489920 1
< 0.1%
28240000 1
< 0.1%
26744500 1
< 0.1%
24983350 1
< 0.1%
23440000 1
< 0.1%
22400000 1
< 0.1%

도시계획세_잔액
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
0
10000 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 10000
100.0%

Length

2023-12-12T13:13:51.035238image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T13:13:51.157068image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 10000
100.0%

공동세_잔액
Real number (ℝ)

SKEWED  ZEROS 

Distinct1036
Distinct (%)10.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6421.126
Minimum0
Maximum1918410
Zeros7123
Zeros (%)71.2%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T13:13:51.286413image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q35860
95-th percentile21192.5
Maximum1918410
Range1918410
Interquartile range (IQR)5860

Descriptive statistics

Standard deviation40178.33
Coefficient of variation (CV)6.2572094
Kurtosis898.43713
Mean6421.126
Median Absolute Deviation (MAD)0
Skewness25.791227
Sum64211260
Variance1.6142982 × 109
MonotonicityNot monotonic
2023-12-12T13:13:51.484654image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 7123
71.2%
5120 38
 
0.4%
7030 36
 
0.4%
8720 36
 
0.4%
10650 28
 
0.3%
11730 27
 
0.3%
5200 25
 
0.2%
11260 23
 
0.2%
17550 23
 
0.2%
12900 21
 
0.2%
Other values (1026) 2620
 
26.2%
ValueCountFrequency (%)
0 7123
71.2%
220 1
 
< 0.1%
310 1
 
< 0.1%
350 1
 
< 0.1%
380 1
 
< 0.1%
750 1
 
< 0.1%
2040 1
 
< 0.1%
2130 2
 
< 0.1%
2180 1
 
< 0.1%
2210 2
 
< 0.1%
ValueCountFrequency (%)
1918410 1
< 0.1%
1410590 1
< 0.1%
1325380 1
< 0.1%
927390 1
< 0.1%
835650 1
< 0.1%
824150 1
< 0.1%
742640 1
< 0.1%
685720 1
< 0.1%
679780 1
< 0.1%
678650 1
< 0.1%

지방교육세_잔액
Real number (ℝ)

SKEWED  ZEROS 

Distinct2602
Distinct (%)26.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean33381.763
Minimum0
Maximum6220000
Zeros1517
Zeros (%)15.2%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T13:13:51.696336image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11030
median9350
Q338900
95-th percentile106023
Maximum6220000
Range6220000
Interquartile range (IQR)37870

Descriptive statistics

Standard deviation114018.73
Coefficient of variation (CV)3.4155996
Kurtosis1156.901
Mean33381.763
Median Absolute Deviation (MAD)9350
Skewness26.602223
Sum3.3381763 × 108
Variance1.3000272 × 1010
MonotonicityNot monotonic
2023-12-12T13:13:51.861402image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1517
 
15.2%
1000 659
 
6.6%
1030 300
 
3.0%
1200 216
 
2.2%
29970 93
 
0.9%
5000 79
 
0.8%
54450 78
 
0.8%
16700 39
 
0.4%
30350 38
 
0.4%
33550 36
 
0.4%
Other values (2592) 6945
69.5%
ValueCountFrequency (%)
0 1517
15.2%
30 1
 
< 0.1%
50 1
 
< 0.1%
110 1
 
< 0.1%
200 2
 
< 0.1%
290 1
 
< 0.1%
310 1
 
< 0.1%
320 1
 
< 0.1%
360 2
 
< 0.1%
400 1
 
< 0.1%
ValueCountFrequency (%)
6220000 1
< 0.1%
4486560 1
< 0.1%
2240000 1
< 0.1%
2089000 1
< 0.1%
1800000 1
< 0.1%
1578970 1
< 0.1%
1577600 1
< 0.1%
1577180 1
< 0.1%
1500000 1
< 0.1%
1469280 1
< 0.1%

농특세_잔액
Real number (ℝ)

SKEWED  ZEROS 

Distinct89
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2576.241
Minimum0
Maximum3110000
Zeros9904
Zeros (%)99.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T13:13:52.010936image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum3110000
Range3110000
Interquartile range (IQR)0

Descriptive statistics

Standard deviation50599.811
Coefficient of variation (CV)19.640946
Kurtosis1612.8763
Mean2576.241
Median Absolute Deviation (MAD)0
Skewness33.588444
Sum25762410
Variance2.5603409 × 109
MonotonicityNot monotonic
2023-12-12T13:13:52.144470image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 9904
99.0%
5270 3
 
< 0.1%
360000 2
 
< 0.1%
10000 2
 
< 0.1%
5700 2
 
< 0.1%
4950 2
 
< 0.1%
265610 2
 
< 0.1%
18000 2
 
< 0.1%
1750 1
 
< 0.1%
1042740 1
 
< 0.1%
Other values (79) 79
 
0.8%
ValueCountFrequency (%)
0 9904
99.0%
1190 1
 
< 0.1%
1750 1
 
< 0.1%
1870 1
 
< 0.1%
1960 1
 
< 0.1%
2020 1
 
< 0.1%
2470 1
 
< 0.1%
2500 1
 
< 0.1%
2610 1
 
< 0.1%
2620 1
 
< 0.1%
ValueCountFrequency (%)
3110000 1
< 0.1%
1222000 1
< 0.1%
1160000 1
< 0.1%
1120000 1
< 0.1%
1042740 1
< 0.1%
1000000 1
< 0.1%
980000 1
< 0.1%
830000 1
< 0.1%
800000 1
< 0.1%
796000 1
< 0.1%

본세_본세
Real number (ℝ)

SKEWED 

Distinct3479
Distinct (%)34.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean249197.7
Minimum0
Maximum62200000
Zeros12
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T13:13:52.299550image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile9930.5
Q127070
median92990
Q3176120
95-th percentile470752.5
Maximum62200000
Range62200000
Interquartile range (IQR)149050

Descriptive statistics

Standard deviation1359515.2
Coefficient of variation (CV)5.4555689
Kurtosis726.48583
Mean249197.7
Median Absolute Deviation (MAD)70490
Skewness22.728437
Sum2.491977 × 109
Variance1.8482816 × 1012
MonotonicityNot monotonic
2023-12-12T13:13:52.454187image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
10000 914
 
9.1%
15000 580
 
5.8%
6000 216
 
2.2%
22500 146
 
1.5%
7500 120
 
1.2%
99900 119
 
1.2%
50000 88
 
0.9%
181510 77
 
0.8%
27070 71
 
0.7%
9750 41
 
0.4%
Other values (3469) 7628
76.3%
ValueCountFrequency (%)
0 12
0.1%
160 1
 
< 0.1%
180 1
 
< 0.1%
580 1
 
< 0.1%
720 1
 
< 0.1%
1140 1
 
< 0.1%
1210 1
 
< 0.1%
1250 1
 
< 0.1%
1940 1
 
< 0.1%
2040 3
 
< 0.1%
ValueCountFrequency (%)
62200000 1
< 0.1%
45000000 1
< 0.1%
36000000 1
< 0.1%
31800000 1
< 0.1%
30489920 1
< 0.1%
28240000 1
< 0.1%
24599530 1
< 0.1%
24255680 1
< 0.1%
23440000 1
< 0.1%
22400000 1
< 0.1%

도시계획세_본세
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
0
10000 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 10000
100.0%

Length

2023-12-12T13:13:52.592200image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T13:13:52.682369image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 10000
100.0%

공동세_본세
Real number (ℝ)

SKEWED  ZEROS 

Distinct916
Distinct (%)9.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6373.79
Minimum0
Maximum1835820
Zeros7128
Zeros (%)71.3%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T13:13:52.781672image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q35820
95-th percentile20901.5
Maximum1835820
Range1835820
Interquartile range (IQR)5820

Descriptive statistics

Standard deviation39568.452
Coefficient of variation (CV)6.2079943
Kurtosis852.06707
Mean6373.79
Median Absolute Deviation (MAD)0
Skewness25.219703
Sum63737900
Variance1.5656624 × 109
MonotonicityNot monotonic
2023-12-12T13:13:52.934861image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 7128
71.3%
7030 45
 
0.4%
11730 42
 
0.4%
5120 39
 
0.4%
8720 39
 
0.4%
10650 31
 
0.3%
11260 26
 
0.3%
5200 26
 
0.3%
12900 25
 
0.2%
17550 25
 
0.2%
Other values (906) 2574
 
25.7%
ValueCountFrequency (%)
0 7128
71.3%
370 1
 
< 0.1%
2040 1
 
< 0.1%
2120 1
 
< 0.1%
2130 2
 
< 0.1%
2210 2
 
< 0.1%
2290 1
 
< 0.1%
2400 1
 
< 0.1%
2530 1
 
< 0.1%
2550 1
 
< 0.1%
ValueCountFrequency (%)
1835820 1
< 0.1%
1410590 1
< 0.1%
1286780 1
< 0.1%
927390 1
< 0.1%
835650 1
< 0.1%
824150 1
< 0.1%
742640 1
< 0.1%
685720 1
< 0.1%
679780 1
< 0.1%
678650 1
< 0.1%

지방교육세_본세
Real number (ℝ)

SKEWED  ZEROS 

Distinct2420
Distinct (%)24.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean33292.686
Minimum0
Maximum6220000
Zeros1533
Zeros (%)15.3%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T13:13:53.133573image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11000
median9350
Q338900
95-th percentile106023
Maximum6220000
Range6220000
Interquartile range (IQR)37900

Descriptive statistics

Standard deviation113880.31
Coefficient of variation (CV)3.4205805
Kurtosis1161.4245
Mean33292.686
Median Absolute Deviation (MAD)9350
Skewness26.649133
Sum3.3292686 × 108
Variance1.2968725 × 1010
MonotonicityNot monotonic
2023-12-12T13:13:53.609848image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1533
 
15.3%
1000 956
 
9.6%
1200 216
 
2.2%
29970 121
 
1.2%
5000 90
 
0.9%
54450 78
 
0.8%
16700 45
 
0.4%
33550 40
 
0.4%
5220 38
 
0.4%
30350 38
 
0.4%
Other values (2410) 6845
68.5%
ValueCountFrequency (%)
0 1533
15.3%
50 1
 
< 0.1%
170 1
 
< 0.1%
200 2
 
< 0.1%
290 1
 
< 0.1%
310 1
 
< 0.1%
350 1
 
< 0.1%
360 1
 
< 0.1%
400 1
 
< 0.1%
510 1
 
< 0.1%
ValueCountFrequency (%)
6220000 1
< 0.1%
4486560 1
< 0.1%
2240000 1
< 0.1%
2028160 1
< 0.1%
1800000 1
< 0.1%
1578970 1
< 0.1%
1577600 1
< 0.1%
1577180 1
< 0.1%
1500000 1
< 0.1%
1469280 1
< 0.1%

농특세_본세
Real number (ℝ)

SKEWED  ZEROS 

Distinct89
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2573.261
Minimum0
Maximum3110000
Zeros9904
Zeros (%)99.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T13:13:53.797445image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum3110000
Range3110000
Interquartile range (IQR)0

Descriptive statistics

Standard deviation50539.388
Coefficient of variation (CV)19.64021
Kurtosis1618.6548
Mean2573.261
Median Absolute Deviation (MAD)0
Skewness33.636412
Sum25732610
Variance2.5542297 × 109
MonotonicityNot monotonic
2023-12-12T13:13:54.012559image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 9904
99.0%
5270 3
 
< 0.1%
360000 2
 
< 0.1%
10000 2
 
< 0.1%
5700 2
 
< 0.1%
4950 2
 
< 0.1%
265610 2
 
< 0.1%
18000 2
 
< 0.1%
1750 1
 
< 0.1%
1012940 1
 
< 0.1%
Other values (79) 79
 
0.8%
ValueCountFrequency (%)
0 9904
99.0%
1190 1
 
< 0.1%
1750 1
 
< 0.1%
1870 1
 
< 0.1%
1960 1
 
< 0.1%
2020 1
 
< 0.1%
2470 1
 
< 0.1%
2500 1
 
< 0.1%
2610 1
 
< 0.1%
2620 1
 
< 0.1%
ValueCountFrequency (%)
3110000 1
< 0.1%
1222000 1
< 0.1%
1160000 1
< 0.1%
1120000 1
< 0.1%
1012940 1
< 0.1%
1000000 1
< 0.1%
980000 1
< 0.1%
830000 1
< 0.1%
800000 1
< 0.1%
796000 1
< 0.1%

합계_본세
Real number (ℝ)

SKEWED 

Distinct3997
Distinct (%)40.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean291437.43
Minimum160
Maximum71530000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T13:13:54.234971image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum160
5-th percentile10995
Q128290
median111735
Q3220770
95-th percentile602131.5
Maximum71530000
Range71529840
Interquartile range (IQR)192480

Descriptive statistics

Standard deviation1485650.9
Coefficient of variation (CV)5.0976667
Kurtosis785.64908
Mean291437.43
Median Absolute Deviation (MAD)89235
Skewness23.197055
Sum2.9143743 × 109
Variance2.2071586 × 1012
MonotonicityNot monotonic
2023-12-12T13:13:54.405659image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
11000 914
 
9.1%
15000 580
 
5.8%
7200 217
 
2.2%
22500 146
 
1.5%
7500 120
 
1.2%
129870 112
 
1.1%
55000 88
 
0.9%
235960 77
 
0.8%
27070 71
 
0.7%
10750 41
 
0.4%
Other values (3987) 7634
76.3%
ValueCountFrequency (%)
160 1
 
< 0.1%
180 1
 
< 0.1%
580 1
 
< 0.1%
720 1
 
< 0.1%
1140 1
 
< 0.1%
1210 1
 
< 0.1%
1250 1
 
< 0.1%
1940 1
 
< 0.1%
2040 3
< 0.1%
2050 2
< 0.1%
ValueCountFrequency (%)
71530000 1
< 0.1%
46500000 1
< 0.1%
37800000 1
< 0.1%
34976480 1
< 0.1%
32860000 1
< 0.1%
29652000 1
< 0.1%
27296780 1
< 0.1%
25760000 1
< 0.1%
24612000 1
< 0.1%
24599530 1
< 0.1%

본세_가산금
Real number (ℝ)

SKEWED  ZEROS 

Distinct464
Distinct (%)4.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean951.359
Minimum0
Maximum2144970
Zeros8461
Zeros (%)84.6%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T13:13:54.605764image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile3210
Maximum2144970
Range2144970
Interquartile range (IQR)0

Descriptive statistics

Standard deviation23573.658
Coefficient of variation (CV)24.77893
Kurtosis6944.032
Mean951.359
Median Absolute Deviation (MAD)0
Skewness78.927626
Sum9513590
Variance5.5571735 × 108
MonotonicityNot monotonic
2023-12-12T13:13:54.809323image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 8461
84.6%
300 301
 
3.0%
450 77
 
0.8%
2990 39
 
0.4%
810 30
 
0.3%
670 22
 
0.2%
1670 16
 
0.2%
3890 16
 
0.2%
3590 16
 
0.2%
1500 15
 
0.1%
Other values (454) 1007
 
10.1%
ValueCountFrequency (%)
0 8461
84.6%
60 4
 
< 0.1%
80 1
 
< 0.1%
90 1
 
< 0.1%
130 2
 
< 0.1%
140 1
 
< 0.1%
150 1
 
< 0.1%
170 2
 
< 0.1%
180 4
 
< 0.1%
220 10
 
0.1%
ValueCountFrequency (%)
2144970 1
< 0.1%
727670 1
< 0.1%
386790 1
< 0.1%
239460 1
< 0.1%
206220 1
< 0.1%
160450 1
< 0.1%
138270 2
< 0.1%
131550 1
< 0.1%
101660 1
< 0.1%
94670 1
< 0.1%

도시계획세_가산금
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
0
10000 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 10000
100.0%

Length

2023-12-12T13:13:55.018206image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T13:13:55.168187image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 10000
100.0%

공동세_가산금
Real number (ℝ)

SKEWED  ZEROS 

Distinct104
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean47.336
Minimum0
Maximum82590
Zeros9571
Zeros (%)95.7%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T13:13:55.325031image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum82590
Range82590
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1276.3449
Coefficient of variation (CV)26.963514
Kurtosis3591.1717
Mean47.336
Median Absolute Deviation (MAD)0
Skewness57.611934
Sum473360
Variance1629056.3
MonotonicityNot monotonic
2023-12-12T13:13:55.540982image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 9571
95.7%
150 30
 
0.3%
350 23
 
0.2%
260 16
 
0.2%
210 13
 
0.1%
220 12
 
0.1%
110 12
 
0.1%
380 11
 
0.1%
390 11
 
0.1%
330 11
 
0.1%
Other values (94) 290
 
2.9%
ValueCountFrequency (%)
0 9571
95.7%
60 2
 
< 0.1%
70 1
 
< 0.1%
80 2
 
< 0.1%
90 1
 
< 0.1%
110 12
 
0.1%
120 7
 
0.1%
130 6
 
0.1%
140 7
 
0.1%
150 30
 
0.3%
ValueCountFrequency (%)
82590 2
< 0.1%
38600 1
< 0.1%
19710 1
< 0.1%
17990 1
< 0.1%
7920 1
< 0.1%
7190 1
< 0.1%
6430 1
< 0.1%
6020 1
< 0.1%
4870 2
< 0.1%
4520 1
< 0.1%

교육비_가산금
Real number (ℝ)

SKEWED  ZEROS 

Distinct196
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean89.077
Minimum0
Maximum60840
Zeros8708
Zeros (%)87.1%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T13:13:55.754276image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile470
Maximum60840
Range60840
Interquartile range (IQR)0

Descriptive statistics

Standard deviation775.15138
Coefficient of variation (CV)8.7020374
Kurtosis3856.5005
Mean89.077
Median Absolute Deviation (MAD)0
Skewness52.730901
Sum890770
Variance600859.66
MonotonicityNot monotonic
2023-12-12T13:13:55.943363image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 8708
87.1%
30 303
 
3.0%
890 46
 
0.5%
150 31
 
0.3%
90 26
 
0.3%
170 25
 
0.2%
120 24
 
0.2%
160 23
 
0.2%
500 20
 
0.2%
340 20
 
0.2%
Other values (186) 774
 
7.7%
ValueCountFrequency (%)
0 8708
87.1%
10 2
 
< 0.1%
20 10
 
0.1%
30 303
 
3.0%
40 4
 
< 0.1%
50 3
 
< 0.1%
60 11
 
0.1%
70 5
 
0.1%
80 14
 
0.1%
90 26
 
0.3%
ValueCountFrequency (%)
60840 1
< 0.1%
17720 2
< 0.1%
14970 1
< 0.1%
12240 1
< 0.1%
11800 1
< 0.1%
8620 1
< 0.1%
8380 1
< 0.1%
7870 1
< 0.1%
7480 1
< 0.1%
4440 1
< 0.1%

농특세_가산금
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
0
9999 
29800
 
1

Length

Max length5
Median length1
Mean length1.0004
Min length1

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
0 9999
> 99.9%
29800 1
 
< 0.1%

Length

2023-12-12T13:13:56.180703image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T13:13:56.328168image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 9999
> 99.9%
29800 1
 
< 0.1%

합계_가산금
Real number (ℝ)

SKEWED  ZEROS 

Distinct516
Distinct (%)5.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1090.752
Minimum0
Maximum2144970
Zeros8460
Zeros (%)84.6%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T13:13:56.496081image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile3910
Maximum2144970
Range2144970
Interquartile range (IQR)0

Descriptive statistics

Standard deviation24103.913
Coefficient of variation (CV)22.098436
Kurtosis6402.3106
Mean1090.752
Median Absolute Deviation (MAD)0
Skewness75.154702
Sum10907520
Variance5.8099863 × 108
MonotonicityNot monotonic
2023-12-12T13:13:56.726146image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 8460
84.6%
330 299
 
3.0%
450 76
 
0.8%
3880 41
 
0.4%
810 29
 
0.3%
670 22
 
0.2%
2170 17
 
0.2%
1850 15
 
0.1%
5050 14
 
0.1%
1470 13
 
0.1%
Other values (506) 1014
 
10.1%
ValueCountFrequency (%)
0 8460
84.6%
60 4
 
< 0.1%
90 2
 
< 0.1%
130 1
 
< 0.1%
150 1
 
< 0.1%
170 3
 
< 0.1%
180 5
 
0.1%
220 10
 
0.1%
230 1
 
< 0.1%
240 2
 
< 0.1%
ValueCountFrequency (%)
2144970 1
< 0.1%
818310 1
< 0.1%
386790 1
< 0.1%
239460 1
< 0.1%
238580 2
< 0.1%
206220 1
< 0.1%
160450 1
< 0.1%
146520 1
< 0.1%
112410 1
< 0.1%
104850 1
< 0.1%

고지구분
Categorical

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
미납
5565 
자납
2889 
체납
1546 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row미납
2nd row자납
3rd row자납
4th row자납
5th row미납

Common Values

ValueCountFrequency (%)
미납 5565
55.6%
자납 2889
28.9%
체납 1546
 
15.5%

Length

2023-12-12T13:13:56.906300image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T13:13:57.075551image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
미납 5565
55.6%
자납 2889
28.9%
체납 1546
 
15.5%

압류여부
Categorical

IMBALANCE 

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
9778 
1
 
219
2
 
3

Length

Max length4
Median length4
Mean length3.9334
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 9778
97.8%
1 219
 
2.2%
2 3
 
< 0.1%

Length

2023-12-12T13:13:57.258204image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T13:13:57.393527image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 9778
97.8%
1 219
 
2.2%
2 3
 
< 0.1%

우편번호
Real number (ℝ)

SKEWED 

Distinct955
Distinct (%)9.6%
Missing16
Missing (%)0.2%
Infinite0
Infinite (%)0.0%
Mean19028.767
Minimum1057
Maximum451852
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T13:13:57.542912image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1057
5-th percentile16428.65
Q118109
median18127
Q318145
95-th percentile18411.85
Maximum451852
Range450795
Interquartile range (IQR)36

Descriptive statistics

Standard deviation19229.627
Coefficient of variation (CV)1.0105556
Kurtosis462.01253
Mean19028.767
Median Absolute Deviation (MAD)18
Skewness21.011701
Sum1.899832 × 108
Variance3.6977857 × 108
MonotonicityNot monotonic
2023-12-12T13:13:57.734959image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
18132 496
 
5.0%
18109 428
 
4.3%
18148 421
 
4.2%
18151 388
 
3.9%
18133 372
 
3.7%
18143 369
 
3.7%
18113 364
 
3.6%
18146 338
 
3.4%
18125 328
 
3.3%
18105 310
 
3.1%
Other values (945) 6170
61.7%
ValueCountFrequency (%)
1057 1
< 0.1%
1097 1
< 0.1%
1223 1
< 0.1%
1411 1
< 0.1%
1468 1
< 0.1%
1489 1
< 0.1%
1625 1
< 0.1%
1738 1
< 0.1%
1865 1
< 0.1%
2007 1
< 0.1%
ValueCountFrequency (%)
451852 1
 
< 0.1%
451843 2
< 0.1%
447804 1
 
< 0.1%
447802 1
 
< 0.1%
447320 1
 
< 0.1%
447240 3
< 0.1%
447220 1
 
< 0.1%
447200 1
 
< 0.1%
447180 1
 
< 0.1%
447160 1
 
< 0.1%

분납여부
Boolean

CONSTANT  MISSING 

Distinct1
Distinct (%)8.3%
Missing9988
Missing (%)99.9%
Memory size97.7 KiB
True
 
12
(Missing)
9988 
ValueCountFrequency (%)
True 12
 
0.1%
(Missing) 9988
99.9%
2023-12-12T13:13:57.854216image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Sample

시군구코드시군구명부과일자징수일자최초납기가산납기구분세목명본세_잔액도시계획세_잔액공동세_잔액지방교육세_잔액농특세_잔액본세_본세도시계획세_본세공동세_본세지방교육세_본세농특세_본세합계_본세본세_가산금도시계획세_가산금공동세_가산금교육비_가산금농특세_가산금합계_가산금고지구분압류여부우편번호분납여부
1213841370경기도 오산시2022-06-102022-06-102022-06-302022-06-30지방세지방소득세(특별징수)42900000429000004290000000미납<NA>18142<NA>
475741370경기도 오산시2022-02-03<NA>2022-02-032022-02-03지방세자동차세(자동차)2632000078960026320000789600342160000000자납<NA>18109<NA>
533541370경기도 오산시2022-03-04<NA>2022-03-312022-03-31지방세자동차세(자동차)1945300058350019453000583500252880000000자납<NA>18146<NA>
114941370경기도 오산시2022-01-04<NA>2022-02-032022-02-03지방세자동차세(자동차)3296300098880032963000988800428510000000자납<NA>18146<NA>
1563541370경기도 오산시2022-07-052022-07-062022-07-312022-07-31지방세재산세(주택)255360024030218400255360024030218400301230000000미납<NA>18132<NA>
2306041370경기도 오산시2022-09-062022-09-062022-09-302022-09-30지방세재산세(주택)10173007030654001017300703065400115300000000미납<NA>18133<NA>
2420641370경기도 오산시2022-09-062022-09-062022-09-302022-09-30지방세재산세(토지)1230200024600012302000246000147620000000미납<NA>13830<NA>
869341370경기도 오산시2022-06-072022-06-072022-06-302022-06-30지방세자동차세(자동차)3545000106300354500010630046080000000미납<NA>18133<NA>
921941370경기도 오산시2022-06-072022-06-072022-06-302022-06-30지방세자동차세(자동차)5568000167000556800016700072380000000미납<NA>18135<NA>
3084041370경기도 오산시2022-12-27<NA>2023-01-312023-01-31지방세등록면허세(면허)75000000750000007500000000자납<NA>16670<NA>
시군구코드시군구명부과일자징수일자최초납기가산납기구분세목명본세_잔액도시계획세_잔액공동세_잔액지방교육세_잔액농특세_잔액본세_본세도시계획세_본세공동세_본세지방교육세_본세농특세_본세합계_본세본세_가산금도시계획세_가산금공동세_가산금교육비_가산금농특세_가산금합계_가산금고지구분압류여부우편번호분납여부
3000341370경기도 오산시2022-12-062022-12-062022-12-312022-12-31지방세자동차세(자동차)99650002997009965000299700129620000000미납<NA>18105<NA>
1882441370경기도 오산시2022-07-14<NA>2022-09-132022-09-13지방세취득세(부동산)254081000254080025408100025408002794890000000자납<NA>11780<NA>
2381741370경기도 오산시2022-09-062022-09-062022-09-302022-09-30지방세재산세(주택)5660001320029700566000132002970072770000000미납<NA>18109<NA>
2171341370경기도 오산시2022-08-052022-08-052022-08-312022-09-30지방세주민세(개인분)1030000103001000000100001100030000300330체납<NA>18118<NA>
2497841370경기도 오산시2022-09-062022-09-062022-09-302022-09-30지방세재산세(주택)65180055505940065180055505940076670000000미납<NA>18133<NA>
3080141370경기도 오산시2022-12-26<NA>2022-12-262022-12-26지방세등록면허세(등록)60000012000600000120007200000000자납<NA>17086<NA>
821341370경기도 오산시2022-06-072022-06-072022-06-302022-06-30지방세자동차세(자동차)5894000176800589400017680076620000000미납<NA>18116<NA>
2982041370경기도 오산시2022-12-062022-12-062022-12-312022-12-31지방세자동차세(자동차)1833400055000018334000550000238340000000미납<NA>18144<NA>
2885141370경기도 오산시2022-12-062022-12-062022-12-312022-12-31지방세자동차세(자동차)1118600033550011186000335500145410000000미납<NA>18122<NA>
3000241370경기도 오산시2022-12-062022-12-062022-12-312022-12-31지방세자동차세(자동차)2247300067410022473000674100292140000000미납<NA>18151<NA>

Duplicate rows

Most frequently occurring

시군구코드시군구명부과일자징수일자최초납기가산납기구분세목명본세_잔액도시계획세_잔액공동세_잔액지방교육세_잔액농특세_잔액본세_본세도시계획세_본세공동세_본세지방교육세_본세농특세_본세합계_본세본세_가산금도시계획세_가산금공동세_가산금교육비_가산금농특세_가산금합계_가산금고지구분압류여부우편번호분납여부# duplicates
47141370경기도 오산시2022-08-052022-08-052022-08-312022-08-31지방세주민세(개인분)10000001000010000001000011000000000미납<NA>18132<NA>39
48641370경기도 오산시2022-08-052022-08-052022-08-312022-08-31지방세주민세(개인분)10000001000010000001000011000000000미납<NA>18148<NA>39
47241370경기도 오산시2022-08-052022-08-052022-08-312022-08-31지방세주민세(개인분)10000001000010000001000011000000000미납<NA>18133<NA>33
48441370경기도 오산시2022-08-052022-08-052022-08-312022-08-31지방세주민세(개인분)10000001000010000001000011000000000미납<NA>18146<NA>32
45241370경기도 오산시2022-08-052022-08-052022-08-312022-08-31지방세주민세(개인분)10000001000010000001000011000000000미납<NA>18109<NA>29
48141370경기도 오산시2022-08-052022-08-052022-08-312022-08-31지방세주민세(개인분)10000001000010000001000011000000000미납<NA>18143<NA>25
48941370경기도 오산시2022-08-052022-08-052022-08-312022-08-31지방세주민세(개인분)10000001000010000001000011000000000미납<NA>18151<NA>25
45141370경기도 오산시2022-08-052022-08-052022-08-312022-08-31지방세주민세(개인분)10000001000010000001000011000000000미납<NA>18108<NA>24
46641370경기도 오산시2022-08-052022-08-052022-08-312022-08-31지방세주민세(개인분)10000001000010000001000011000000000미납<NA>18125<NA>24
44941370경기도 오산시2022-08-052022-08-052022-08-312022-08-31지방세주민세(개인분)10000001000010000001000011000000000미납<NA>18105<NA>23