Overview

Dataset statistics

Number of variables11
Number of observations173
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory15.8 KiB
Average record size in memory93.8 B

Variable types

Categorical6
Boolean1
Numeric3
DateTime1

Dataset

Description신용카드,가상계좌 등 지방세 납부매체별 납부 현황을 세목별로 제공하는 데이터로 시도명, 시군구명, 자치단체코드, 납부년도 등을 포함합니다.
Author인천광역시 미추홀구
URLhttps://www.data.go.kr/data/15078720/fileData.do

Alerts

시도명 has constant value ""Constant
시군구명 has constant value ""Constant
자치단체코드 has constant value ""Constant
기준일 has constant value ""Constant
납부매체전자고지여부 is highly overall correlated with 납부매체High correlation
납부매체 is highly overall correlated with 납부매체전자고지여부High 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 14 (8.1%) zerosZeros

Reproduction

Analysis started2023-12-12 21:06:42.006673
Analysis finished2023-12-12 21:06:43.561451
Duration1.55 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시도명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
인천광역시
173 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
인천광역시 173
100.0%

Length

2023-12-13T06:06:43.631084image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T06:06:43.717828image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
인천광역시 173
100.0%

시군구명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
미추홀구
173 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
미추홀구 173
100.0%

Length

2023-12-13T06:06:43.806542image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T06:06:43.899893image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
미추홀구 173
100.0%

자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
28177
173 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row28177
2nd row28177
3rd row28177
4th row28177
5th row28177

Common Values

ValueCountFrequency (%)
28177 173
100.0%

Length

2023-12-13T06:06:43.986206image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T06:06:44.087457image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
28177 173
100.0%

납부년도
Categorical

Distinct2
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
2020
87 
2022
86 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2020
2nd row2020
3rd row2020
4th row2020
5th row2020

Common Values

ValueCountFrequency (%)
2020 87
50.3%
2022 86
49.7%

Length

2023-12-13T06:06:44.179023image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T06:06:44.295084image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2020 87
50.3%
2022 86
49.7%

세목명
Categorical

Distinct13
Distinct (%)7.5%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
자동차세
21 
재산세
21 
등록면허세
20 
주민세
20 
취득세
19 
Other values (8)
72 

Length

Max length7
Median length3
Mean length4.0115607
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row지방소득세
2nd row지역자원시설세
3rd row취득세
4th row등록면허세
5th row등록세

Common Values

ValueCountFrequency (%)
자동차세 21
12.1%
재산세 21
12.1%
등록면허세 20
11.6%
주민세 20
11.6%
취득세 19
11.0%
지방소득세 18
10.4%
지역자원시설세 13
7.5%
등록세 13
7.5%
면허세 12
6.9%
종합토지세 10
5.8%
Other values (3) 6
 
3.5%

Length

2023-12-13T06:06:44.400681image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
자동차세 21
12.1%
재산세 21
12.1%
등록면허세 20
11.6%
주민세 20
11.6%
취득세 19
11.0%
지방소득세 18
10.4%
지역자원시설세 13
7.5%
등록세 13
7.5%
면허세 12
6.9%
종합토지세 10
5.8%
Other values (3) 6
 
3.5%

납부매체
Categorical

HIGH CORRELATION 

Distinct11
Distinct (%)6.4%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
기타
21 
은행창구
20 
지자체방문
20 
가상계좌
20 
위택스
19 
Other values (6)
73 

Length

Max length5
Median length4
Mean length3.9190751
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
기타 21
12.1%
은행창구 20
11.6%
지자체방문 20
11.6%
가상계좌 20
11.6%
위택스 19
11.0%
자동화기기 19
11.0%
ARS 16
9.2%
인터넷지로 15
8.7%
페이사납부 12
6.9%
자동이체 8
 
4.6%

Length

2023-12-13T06:06:44.518632image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
기타 21
12.1%
은행창구 20
11.6%
지자체방문 20
11.6%
가상계좌 20
11.6%
위택스 19
11.0%
자동화기기 19
11.0%
ars 16
9.2%
인터넷지로 15
8.7%
페이사납부 12
6.9%
자동이체 8
 
4.6%

납부매체전자고지여부
Boolean

HIGH CORRELATION 

Distinct2
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size305.0 B
False
96 
True
77 
ValueCountFrequency (%)
False 96
55.5%
True 77
44.5%
2023-12-13T06:06:44.624014image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

납부건수
Real number (ℝ)

HIGH CORRELATION 

Distinct138
Distinct (%)79.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12706.734
Minimum1
Maximum199854
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2023-12-13T06:06:44.723307image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q116
median2412
Q39734
95-th percentile57487
Maximum199854
Range199853
Interquartile range (IQR)9718

Descriptive statistics

Standard deviation29772.999
Coefficient of variation (CV)2.3430882
Kurtosis19.182335
Mean12706.734
Median Absolute Deviation (MAD)2410
Skewness4.11642
Sum2198265
Variance8.8643144 × 108
MonotonicityNot monotonic
2023-12-13T06:06:44.848611image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 14
 
8.1%
7 5
 
2.9%
4 4
 
2.3%
16 3
 
1.7%
2 3
 
1.7%
8 3
 
1.7%
3 3
 
1.7%
10 3
 
1.7%
9 2
 
1.2%
65 2
 
1.2%
Other values (128) 131
75.7%
ValueCountFrequency (%)
1 14
8.1%
2 3
 
1.7%
3 3
 
1.7%
4 4
 
2.3%
5 2
 
1.2%
7 5
 
2.9%
8 3
 
1.7%
9 2
 
1.2%
10 3
 
1.7%
11 1
 
0.6%
ValueCountFrequency (%)
199854 1
0.6%
181114 1
0.6%
155432 1
0.6%
147098 1
0.6%
96215 1
0.6%
86903 1
0.6%
74550 1
0.6%
73118 1
0.6%
58321 1
0.6%
56931 1
0.6%

납부금액
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct173
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.8372794 × 109
Minimum2630
Maximum1.2139592 × 1011
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2023-12-13T06:06:45.006323image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2630
5-th percentile57918
Q12598680
median3.1632448 × 108
Q32.3530837 × 109
95-th percentile2.1333641 × 1010
Maximum1.2139592 × 1011
Range1.2139592 × 1011
Interquartile range (IQR)2.350485 × 109

Descriptive statistics

Standard deviation1.4100392 × 1010
Coefficient of variation (CV)2.9149426
Kurtosis40.237401
Mean4.8372794 × 109
Median Absolute Deviation (MAD)3.1627723 × 108
Skewness5.8032458
Sum8.3684934 × 1011
Variance1.9882104 × 1020
MonotonicityNot monotonic
2023-12-13T06:06:45.146112image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
10572493670 1
 
0.6%
6522100 1
 
0.6%
42928670 1
 
0.6%
214008440 1
 
0.6%
2630 1
 
0.6%
17092176500 1
 
0.6%
28379190 1
 
0.6%
1570760510 1
 
0.6%
1364361150 1
 
0.6%
82185860 1
 
0.6%
Other values (163) 163
94.2%
ValueCountFrequency (%)
2630 1
0.6%
15980 1
0.6%
17470 1
0.6%
18900 1
0.6%
21470 1
0.6%
21570 1
0.6%
27950 1
0.6%
32600 1
0.6%
47250 1
0.6%
65030 1
0.6%
ValueCountFrequency (%)
121395922510 1
0.6%
102000000000 1
0.6%
52763588560 1
0.6%
43060135890 1
0.6%
39266316580 1
0.6%
36671291080 1
0.6%
27359820650 1
0.6%
23335698650 1
0.6%
21982774210 1
0.6%
20900885660 1
0.6%

납부매체비율
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct125
Distinct (%)72.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12.717052
Minimum0
Maximum100
Zeros14
Zeros (%)8.1%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2023-12-13T06:06:45.272602image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.03
median6.6
Q319.77
95-th percentile46.102
Maximum100
Range100
Interquartile range (IQR)19.74

Descriptive statistics

Standard deviation16.459611
Coefficient of variation (CV)1.2942946
Kurtosis4.5969306
Mean12.717052
Median Absolute Deviation (MAD)6.59
Skewness1.8410467
Sum2200.05
Variance270.91881
MonotonicityNot monotonic
2023-12-13T06:06:45.421539image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.01 18
 
10.4%
0.0 14
 
8.1%
0.03 9
 
5.2%
0.02 5
 
2.9%
0.05 4
 
2.3%
0.08 2
 
1.2%
50.0 2
 
1.2%
0.06 2
 
1.2%
40.5 1
 
0.6%
2.42 1
 
0.6%
Other values (115) 115
66.5%
ValueCountFrequency (%)
0.0 14
8.1%
0.01 18
10.4%
0.02 5
 
2.9%
0.03 9
5.2%
0.04 1
 
0.6%
0.05 4
 
2.3%
0.06 2
 
1.2%
0.08 2
 
1.2%
0.09 1
 
0.6%
0.12 1
 
0.6%
ValueCountFrequency (%)
100.0 1
0.6%
65.28 1
0.6%
63.11 1
0.6%
56.77 1
0.6%
50.45 1
0.6%
50.0 2
1.2%
47.45 1
0.6%
46.81 1
0.6%
45.63 1
0.6%
41.15 1
0.6%

기준일
Date

CONSTANT 

Distinct1
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
Minimum2023-08-11 00:00:00
Maximum2023-08-11 00:00:00
2023-12-13T06:06:45.519207image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:06:45.600882image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2023-12-13T06:06:42.792537image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:06:42.324614image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:06:42.555596image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:06:42.881176image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:06:42.405389image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:06:42.638344image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:06:42.968132image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:06:42.482229image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:06:42.710765image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T06:06:45.674888image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
납부년도세목명납부매체납부매체전자고지여부납부건수납부금액납부매체비율
납부년도1.0000.0000.0000.0000.0000.0000.000
세목명0.0001.0000.0000.0000.1950.0000.556
납부매체0.0000.0001.0001.0000.3320.0000.553
납부매체전자고지여부0.0000.0001.0001.0000.1880.0000.000
납부건수0.0000.1950.3320.1881.0000.7800.418
납부금액0.0000.0000.0000.0000.7801.0000.000
납부매체비율0.0000.5560.5530.0000.4180.0001.000
2023-12-13T06:06:45.776571image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
납부매체전자고지여부세목명납부년도납부매체
납부매체전자고지여부1.0000.0000.0000.973
세목명0.0001.0000.0000.000
납부년도0.0000.0001.0000.000
납부매체0.9730.0000.0001.000
2023-12-13T06:06:45.869949image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
납부건수납부금액납부매체비율납부년도세목명납부매체납부매체전자고지여부
납부건수1.0000.8690.7790.0000.0880.1670.197
납부금액0.8691.0000.6800.0000.0000.0000.000
납부매체비율0.7790.6801.0000.0000.2860.2970.000
납부년도0.0000.0000.0001.0000.0000.0000.000
세목명0.0880.0000.2860.0001.0000.0000.000
납부매체0.1670.0000.2970.0000.0001.0000.973
납부매체전자고지여부0.1970.0000.0000.0000.0000.9731.000

Missing values

2023-12-13T06:06:43.099282image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T06:06:43.493510image/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

시도명시군구명자치단체코드납부년도세목명납부매체납부매체전자고지여부납부건수납부금액납부매체비율기준일
0인천광역시미추홀구281772020지방소득세위택스Y14995105724936708.462023-08-11
1인천광역시미추홀구281772020지역자원시설세위택스Y51122700.02023-08-11
2인천광역시미추홀구281772020취득세위택스Y145311020000000008.22023-08-11
3인천광역시미추홀구281772020등록면허세은행창구N26241125437566021.472023-08-11
4인천광역시미추홀구281772020등록세은행창구N852773300.012023-08-11
5인천광역시미추홀구281772020면허세은행창구N71164900.012023-08-11
6인천광역시미추홀구281772020자동차세은행창구N1217015873179209.962023-08-11
7인천광역시미추홀구281772020재산세은행창구N468501090703869038.342023-08-11
8인천광역시미추홀구281772020종합토지세은행창구N217668800.022023-08-11
9인천광역시미추홀구281772020주민세은행창구N1514894098348012.392023-08-11
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