Overview

Dataset statistics

Number of variables10
Number of observations73
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory6.2 KiB
Average record size in memory86.8 B

Variable types

Categorical6
Boolean1
Numeric3

Dataset

Description충청북도 옥천군의 신용카드, 가상계좌 등 지방세 납부매체별 납부 현황(납부년도, 세목명, 납부매체, 전자고지여부, 납부건수, 납부금액 등)을 제공합니다.
Author충청북도 옥천군
URLhttps://www.data.go.kr/data/15078510/fileData.do

Alerts

시도명 has constant value ""Constant
시군구명 has constant value ""Constant
자치단체코드 has constant value ""Constant
납부년도 has constant value ""Constant
납부매체 is highly overall correlated with 납부매체전자고지여부High correlation
납부매체전자고지여부 is highly overall correlated with 납부매체High correlation
납부건수 is highly overall correlated with 납부금액 and 1 other fieldsHigh correlation
납부금액 is highly overall correlated with 납부건수 and 1 other fieldsHigh correlation
납부매체비율 is highly overall correlated with 납부건수 and 1 other fieldsHigh correlation
납부금액 has unique valuesUnique
납부매체비율 has 2 (2.7%) zerosZeros

Reproduction

Analysis started2023-12-12 15:21:09.094417
Analysis finished2023-12-12 15:21:11.054157
Duration1.96 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시도명
Categorical

CONSTANT 

Distinct1
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size716.0 B
충청북도
73 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
충청북도 73
100.0%

Length

2023-12-13T00:21:11.126361image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T00:21:11.262378image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
충청북도 73
100.0%

시군구명
Categorical

CONSTANT 

Distinct1
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size716.0 B
옥천군
73 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
옥천군 73
100.0%

Length

2023-12-13T00:21:11.392431image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T00:21:11.551543image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
옥천군 73
100.0%

자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size716.0 B
43730
73 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row43730
2nd row43730
3rd row43730
4th row43730
5th row43730

Common Values

ValueCountFrequency (%)
43730 73
100.0%

Length

2023-12-13T00:21:11.715081image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T00:21:11.851944image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
43730 73
100.0%

납부년도
Categorical

CONSTANT 

Distinct1
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size716.0 B
2021
73 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2021
2nd row2021
3rd row2021
4th row2021
5th row2021

Common Values

ValueCountFrequency (%)
2021 73
100.0%

Length

2023-12-13T00:21:12.023735image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T00:21:12.165153image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2021 73
100.0%

세목명
Categorical

Distinct12
Distinct (%)16.4%
Missing0
Missing (%)0.0%
Memory size716.0 B
등록면허세
9 
자동차세
9 
재산세
9 
주민세
9 
지방소득세
8 
Other values (7)
29 

Length

Max length7
Median length5
Mean length4.1369863
Min length3

Unique

Unique2 ?
Unique (%)2.7%

Sample

1st row담배소비세
2nd row등록면허세
3rd row등록세
4th row면허세
5th row자동차세

Common Values

ValueCountFrequency (%)
등록면허세 9
12.3%
자동차세 9
12.3%
재산세 9
12.3%
주민세 9
12.3%
지방소득세 8
11.0%
취득세 8
11.0%
등록세 6
8.2%
지역자원시설세 6
8.2%
담배소비세 4
5.5%
종합토지세 3
 
4.1%
Other values (2) 2
 
2.7%

Length

2023-12-13T00:21:12.319976image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
등록면허세 9
12.3%
자동차세 9
12.3%
재산세 9
12.3%
주민세 9
12.3%
지방소득세 8
11.0%
취득세 8
11.0%
등록세 6
8.2%
지역자원시설세 6
8.2%
담배소비세 4
5.5%
종합토지세 3
 
4.1%
Other values (2) 2
 
2.7%

납부매체
Categorical

HIGH CORRELATION 

Distinct9
Distinct (%)12.3%
Missing0
Missing (%)0.0%
Memory size716.0 B
은행창구
11 
지자체방문
9 
가상계좌
9 
기타
9 
위택스
9 
Other values (4)
26 

Length

Max length5
Median length4
Mean length4.0547945
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
은행창구 11
15.1%
지자체방문 9
12.3%
가상계좌 9
12.3%
기타 9
12.3%
위택스 9
12.3%
인터넷지로 8
11.0%
자동화기기 8
11.0%
페이사납부 6
8.2%
자동이체 4
 
5.5%

Length

2023-12-13T00:21:12.483735image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T00:21:12.630416image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
은행창구 11
15.1%
지자체방문 9
12.3%
가상계좌 9
12.3%
기타 9
12.3%
위택스 9
12.3%
인터넷지로 8
11.0%
자동화기기 8
11.0%
페이사납부 6
8.2%
자동이체 4
 
5.5%

납부매체전자고지여부
Boolean

HIGH CORRELATION 

Distinct2
Distinct (%)2.7%
Missing0
Missing (%)0.0%
Memory size205.0 B
False
37 
True
36 
ValueCountFrequency (%)
False 37
50.7%
True 36
49.3%
2023-12-13T00:21:12.790013image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

납부건수
Real number (ℝ)

HIGH CORRELATION 

Distinct66
Distinct (%)90.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2529.589
Minimum1
Maximum30417
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size789.0 B
2023-12-13T00:21:13.310834image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q131
median487
Q32720
95-th percentile11198.8
Maximum30417
Range30416
Interquartile range (IQR)2689

Descriptive statistics

Standard deviation4868.4432
Coefficient of variation (CV)1.9245985
Kurtosis15.930329
Mean2529.589
Median Absolute Deviation (MAD)484
Skewness3.5738941
Sum184660
Variance23701739
MonotonicityNot monotonic
2023-12-13T00:21:13.488885image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 5
 
6.8%
3 3
 
4.1%
2 2
 
2.7%
7214 1
 
1.4%
11908 1
 
1.4%
30417 1
 
1.4%
18926 1
 
1.4%
6367 1
 
1.4%
10 1
 
1.4%
815 1
 
1.4%
Other values (56) 56
76.7%
ValueCountFrequency (%)
1 5
6.8%
2 2
 
2.7%
3 3
4.1%
5 1
 
1.4%
7 1
 
1.4%
8 1
 
1.4%
10 1
 
1.4%
11 1
 
1.4%
13 1
 
1.4%
14 1
 
1.4%
ValueCountFrequency (%)
30417 1
1.4%
18926 1
1.4%
13759 1
1.4%
11908 1
1.4%
10726 1
1.4%
8334 1
1.4%
7214 1
1.4%
7189 1
1.4%
6367 1
1.4%
6243 1
1.4%

납부금액
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct73
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.3307801 × 108
Minimum6120
Maximum1.035631 × 1010
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size789.0 B
2023-12-13T00:21:13.637864image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum6120
5-th percentile26716
Q14614930
median1.3459984 × 108
Q36.3558829 × 108
95-th percentile5.3496246 × 109
Maximum1.035631 × 1010
Range1.0356304 × 1010
Interquartile range (IQR)6.3097336 × 108

Descriptive statistics

Standard deviation1.9368341 × 109
Coefficient of variation (CV)2.0757472
Kurtosis9.6337233
Mean9.3307801 × 108
Median Absolute Deviation (MAD)1.3449577 × 108
Skewness2.9819348
Sum6.8114695 × 1010
Variance3.7513262 × 1018
MonotonicityNot monotonic
2023-12-13T00:21:13.772640image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
115307620 1
 
1.4%
75588910 1
 
1.4%
1256880 1
 
1.4%
3249280780 1
 
1.4%
490540270 1
 
1.4%
3293229180 1
 
1.4%
2946269590 1
 
1.4%
109160 1
 
1.4%
134993670 1
 
1.4%
25360 1
 
1.4%
Other values (63) 63
86.3%
ValueCountFrequency (%)
6120 1
1.4%
7140 1
1.4%
11340 1
1.4%
25360 1
1.4%
27620 1
1.4%
93750 1
1.4%
101090 1
1.4%
104070 1
1.4%
109160 1
1.4%
219980 1
1.4%
ValueCountFrequency (%)
10356310230 1
1.4%
7944486000 1
1.4%
5804889900 1
1.4%
5779249900 1
1.4%
5063207780 1
1.4%
3735205910 1
1.4%
3293229180 1
1.4%
3249280780 1
1.4%
2946269590 1
1.4%
2942457840 1
1.4%

납부매체비율
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct65
Distinct (%)89.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12.328493
Minimum0
Maximum78.95
Zeros2
Zeros (%)2.7%
Negative0
Negative (%)0.0%
Memory size789.0 B
2023-12-13T00:21:13.909180image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.016
Q10.32
median8.68
Q315.09
95-th percentile41.676
Maximum78.95
Range78.95
Interquartile range (IQR)14.77

Descriptive statistics

Standard deviation15.513421
Coefficient of variation (CV)1.2583388
Kurtosis4.5990067
Mean12.328493
Median Absolute Deviation (MAD)8.32
Skewness1.9779098
Sum899.98
Variance240.66625
MonotonicityNot monotonic
2023-12-13T00:21:14.071971image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.09 4
 
5.5%
0.01 2
 
2.7%
11.85 2
 
2.7%
0.05 2
 
2.7%
0.0 2
 
2.7%
0.03 2
 
2.7%
52.53 1
 
1.4%
0.87 1
 
1.4%
29.53 1
 
1.4%
4.78 1
 
1.4%
Other values (55) 55
75.3%
ValueCountFrequency (%)
0.0 2
2.7%
0.01 2
2.7%
0.02 1
 
1.4%
0.03 2
2.7%
0.04 1
 
1.4%
0.05 2
2.7%
0.06 1
 
1.4%
0.07 1
 
1.4%
0.09 4
5.5%
0.2 1
 
1.4%
ValueCountFrequency (%)
78.95 1
1.4%
56.01 1
1.4%
52.53 1
1.4%
43.92 1
1.4%
40.18 1
1.4%
39.01 1
1.4%
38.56 1
1.4%
34.26 1
1.4%
31.52 1
1.4%
29.53 1
1.4%

Interactions

2023-12-13T00:21:10.412037image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:21:09.571727image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:21:09.986688image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:21:10.536437image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:21:09.699104image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:21:10.126622image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:21:10.639185image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:21:09.836921image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:21:10.266941image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T00:21:14.175272image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
세목명납부매체납부매체전자고지여부납부건수납부금액납부매체비율
세목명1.0000.0000.0000.0000.6380.216
납부매체0.0001.0001.0000.1150.0000.228
납부매체전자고지여부0.0001.0001.0000.0000.2270.000
납부건수0.0000.1150.0001.0000.5950.703
납부금액0.6380.0000.2270.5951.0000.090
납부매체비율0.2160.2280.0000.7030.0901.000
2023-12-13T00:21:14.295816image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
납부매체세목명납부매체전자고지여부
납부매체1.0000.0000.949
세목명0.0001.0000.000
납부매체전자고지여부0.9490.0001.000
2023-12-13T00:21:14.406708image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
납부건수납부금액납부매체비율세목명납부매체납부매체전자고지여부
납부건수1.0000.7570.8350.0000.0440.000
납부금액0.7571.0000.6220.3170.0000.154
납부매체비율0.8350.6221.0000.0770.0620.000
세목명0.0000.3170.0771.0000.0000.000
납부매체0.0440.0000.0620.0001.0000.949
납부매체전자고지여부0.0000.1540.0000.0000.9491.000

Missing values

2023-12-13T00:21:10.804978image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T00:21:10.991913image/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

시도명시군구명자치단체코드납부년도세목명납부매체납부매체전자고지여부납부건수납부금액납부매체비율
0충청북도옥천군437302021담배소비세은행창구N31153076200.01
1충청북도옥천군437302021등록면허세은행창구N718929140107021.12
2충청북도옥천군437302021등록세은행창구N242253590000.71
3충청북도옥천군437302021면허세은행창구N11937500.03
4충청북도옥천군437302021자동차세은행창구N499259853225014.67
5충청북도옥천군437302021재산세은행창구N1072691954957031.52
6충청북도옥천군437302021종합토지세은행창구N36831900.01
7충청북도옥천군437302021주민세은행창구N513614836690015.09
8충청북도옥천군437302021지방소득세은행창구N261217411283207.67
9충청북도옥천군437302021지역자원시설세은행창구N312478700.09
시도명시군구명자치단체코드납부년도세목명납부매체납부매체전자고지여부납부건수납부금액납부매체비율
63충청북도옥천군437302021취득세기타N1113400.05
64충청북도옥천군437302021담배소비세위택스Y46350632077802.14
65충청북도옥천군437302021등록면허세위택스Y8334111457659038.56
66충청북도옥천군437302021등록세위택스Y326478091701.51
67충청북도옥천군437302021자동차세위택스Y247346071046011.44
68충청북도옥천군437302021재산세위택스Y303392545509014.03
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