Overview

Dataset statistics

Number of variables10
Number of observations402
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory33.5 KiB
Average record size in memory85.3 B

Variable types

Categorical6
Boolean1
Numeric3

Dataset

Description신용카드, 가상계좌, 지로 등 지방세 납부매체별 납부 현황을 제공합니다. 전자송달 시장 규모 및 편익 분석 기초자료로 활용됩니다.
Author충청남도
URLhttps://alldam.chungnam.go.kr/index.chungnam?menuCd=DOM_000000201001001001&st=&cds=&orgCd=&apiType=&isOpen=Y&pageIndex=350&beforeMenuCd=DOM_000000201001001000&publicdatapk=15079060

Alerts

시도명 has constant value ""Constant
시군구명 has constant value ""Constant
자치단체코드 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
납부매체비율 has 138 (34.3%) zerosZeros

Reproduction

Analysis started2024-01-09 22:12:39.696798
Analysis finished2024-01-09 22:12:40.863558
Duration1.17 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시도명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size3.3 KiB
충청남도
402 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
충청남도 402
100.0%

Length

2024-01-10T07:12:40.924935image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T07:12:41.017463image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
충청남도 402
100.0%

시군구명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size3.3 KiB
아산시
402 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
아산시 402
100.0%

Length

2024-01-10T07:12:41.112170image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T07:12:41.207085image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
아산시 402
100.0%

자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size3.3 KiB
44200
402 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row44200
2nd row44200
3rd row44200
4th row44200
5th row44200

Common Values

ValueCountFrequency (%)
44200 402
100.0%

Length

2024-01-10T07:12:41.301408image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T07:12:41.395926image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
44200 402
100.0%

납부년도
Categorical

Distinct5
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size3.3 KiB
2020
84 
2021
83 
2019
81 
2018
78 
2017
76 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2017
2nd row2017
3rd row2017
4th row2017
5th row2017

Common Values

ValueCountFrequency (%)
2020 84
20.9%
2021 83
20.6%
2019 81
20.1%
2018 78
19.4%
2017 76
18.9%

Length

2024-01-10T07:12:41.492311image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T07:12:41.591151image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2020 84
20.9%
2021 83
20.6%
2019 81
20.1%
2018 78
19.4%
2017 76
18.9%

세목명
Categorical

Distinct13
Distinct (%)3.2%
Missing0
Missing (%)0.0%
Memory size3.3 KiB
자동차세
53 
재산세
53 
주민세
48 
등록면허세
46 
취득세
39 
Other values (8)
163 

Length

Max length7
Median length5
Mean length4.0174129
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row등록면허세
2nd row자동차세
3rd row자동차세
4th row재산세
5th row재산세

Common Values

ValueCountFrequency (%)
자동차세 53
13.2%
재산세 53
13.2%
주민세 48
11.9%
등록면허세 46
11.4%
취득세 39
9.7%
지방소득세 38
9.5%
등록세 33
8.2%
지역자원시설세 29
7.2%
면허세 25
6.2%
종합토지세 19
 
4.7%
Other values (3) 19
 
4.7%

Length

2024-01-10T07:12:41.692145image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
자동차세 53
13.2%
재산세 53
13.2%
주민세 48
11.9%
등록면허세 46
11.4%
취득세 39
9.7%
지방소득세 38
9.5%
등록세 33
8.2%
지역자원시설세 29
7.2%
면허세 25
6.2%
종합토지세 19
 
4.7%
Other values (3) 19
 
4.7%

납부매체
Categorical

HIGH CORRELATION 

Distinct10
Distinct (%)2.5%
Missing0
Missing (%)0.0%
Memory size3.3 KiB
가상계좌
56 
은행창구
56 
기타
50 
지자체방문
46 
위택스
44 
Other values (5)
150 

Length

Max length5
Median length4
Mean length3.9353234
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
가상계좌 56
13.9%
은행창구 56
13.9%
기타 50
12.4%
지자체방문 46
11.4%
위택스 44
10.9%
자동화기기 44
10.9%
인터넷지로 40
10.0%
ARS 29
7.2%
자동이체 20
 
5.0%
페이사납부 17
 
4.2%

Length

2024-01-10T07:12:41.791441image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T07:12:41.891870image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
가상계좌 56
13.9%
은행창구 56
13.9%
기타 50
12.4%
지자체방문 46
11.4%
위택스 44
10.9%
자동화기기 44
10.9%
인터넷지로 40
10.0%
ars 29
7.2%
자동이체 20
 
5.0%
페이사납부 17
 
4.2%

납부매체전자고지여부
Boolean

HIGH CORRELATION 

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size534.0 B
False
215 
True
187 
ValueCountFrequency (%)
False 215
53.5%
True 187
46.5%
2024-01-10T07:12:41.998333image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

납부건수
Real number (ℝ)

HIGH CORRELATION 

Distinct307
Distinct (%)76.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11882.239
Minimum1
Maximum170749
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.7 KiB
2024-01-10T07:12:42.086901image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q126.25
median2601
Q312384
95-th percentile54259.2
Maximum170749
Range170748
Interquartile range (IQR)12357.75

Descriptive statistics

Standard deviation25329.489
Coefficient of variation (CV)2.1317102
Kurtosis16.109057
Mean11882.239
Median Absolute Deviation (MAD)2596
Skewness3.7937996
Sum4776660
Variance6.4158302 × 108
MonotonicityNot monotonic
2024-01-10T07:12:42.192688image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 18
 
4.5%
2 11
 
2.7%
3 9
 
2.2%
4 7
 
1.7%
11 5
 
1.2%
18 5
 
1.2%
6 4
 
1.0%
5 4
 
1.0%
9 4
 
1.0%
26 4
 
1.0%
Other values (297) 331
82.3%
ValueCountFrequency (%)
1 18
4.5%
2 11
2.7%
3 9
2.2%
4 7
 
1.7%
5 4
 
1.0%
6 4
 
1.0%
7 2
 
0.5%
9 4
 
1.0%
10 3
 
0.7%
11 5
 
1.2%
ValueCountFrequency (%)
170749 1
0.2%
160428 1
0.2%
150322 1
0.2%
138725 1
0.2%
138272 1
0.2%
133152 1
0.2%
131975 1
0.2%
130957 1
0.2%
124182 1
0.2%
115674 1
0.2%

납부금액
Real number (ℝ)

HIGH CORRELATION 

Distinct401
Distinct (%)99.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.2062333 × 109
Minimum3100
Maximum1.64 × 1011
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.7 KiB
2024-01-10T07:12:42.299605image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3100
5-th percentile67362
Q16557532.5
median4.8496234 × 108
Q38.7900172 × 109
95-th percentile3.5010292 × 1010
Maximum1.64 × 1011
Range1.64 × 1011
Interquartile range (IQR)8.7834597 × 109

Descriptive statistics

Standard deviation1.8911441 × 1010
Coefficient of variation (CV)2.3045214
Kurtosis23.280611
Mean8.2062333 × 109
Median Absolute Deviation (MAD)4.8485603 × 108
Skewness4.3190368
Sum3.2989058 × 1012
Variance3.5764258 × 1020
MonotonicityNot monotonic
2024-01-10T07:12:42.664743image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
100000 2
 
0.5%
15000 1
 
0.2%
1944486810 1
 
0.2%
24055608680 1
 
0.2%
58587250 1
 
0.2%
15724503350 1
 
0.2%
1948904140 1
 
0.2%
11455533050 1
 
0.2%
17620797380 1
 
0.2%
12600 1
 
0.2%
Other values (391) 391
97.3%
ValueCountFrequency (%)
3100 1
0.2%
3140 1
0.2%
6180 1
0.2%
6300 1
0.2%
9000 1
0.2%
9480 1
0.2%
12600 1
0.2%
13780 1
0.2%
15000 1
0.2%
22660 1
0.2%
ValueCountFrequency (%)
164000000000 1
0.2%
116250601930 1
0.2%
113000000000 1
0.2%
111961191760 1
0.2%
111470838680 1
0.2%
110213121180 1
0.2%
88812607500 1
0.2%
85994957810 1
0.2%
83113521550 1
0.2%
69403064210 1
0.2%

납부매체비율
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct53
Distinct (%)13.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12.174129
Minimum0
Maximum100
Zeros138
Zeros (%)34.3%
Negative0
Negative (%)0.0%
Memory size3.7 KiB
2024-01-10T07:12:42.779009image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median9
Q321
95-th percentile38
Maximum100
Range100
Interquartile range (IQR)21

Descriptive statistics

Standard deviation14.287554
Coefficient of variation (CV)1.1735996
Kurtosis4.2136815
Mean12.174129
Median Absolute Deviation (MAD)9
Skewness1.6115418
Sum4894
Variance204.13419
MonotonicityNot monotonic
2024-01-10T07:12:42.885911image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 138
34.3%
14 23
 
5.7%
9 16
 
4.0%
2 14
 
3.5%
27 13
 
3.2%
3 12
 
3.0%
11 12
 
3.0%
1 11
 
2.7%
8 10
 
2.5%
12 10
 
2.5%
Other values (43) 143
35.6%
ValueCountFrequency (%)
0 138
34.3%
1 11
 
2.7%
2 14
 
3.5%
3 12
 
3.0%
4 2
 
0.5%
5 2
 
0.5%
6 1
 
0.2%
7 5
 
1.2%
8 10
 
2.5%
9 16
 
4.0%
ValueCountFrequency (%)
100 1
0.2%
74 1
0.2%
67 1
0.2%
58 1
0.2%
52 2
0.5%
51 1
0.2%
50 1
0.2%
49 2
0.5%
44 1
0.2%
43 1
0.2%

Interactions

2024-01-10T07:12:40.410997image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T07:12:39.986669image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T07:12:40.201999image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T07:12:40.483386image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T07:12:40.061252image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T07:12:40.273826image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T07:12:40.560989image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T07:12:40.133007image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T07:12:40.342803image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-01-10T07:12:42.956907image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
납부년도세목명납부매체납부매체전자고지여부납부건수납부금액납부매체비율
납부년도1.0000.0000.0000.0000.0000.0000.000
세목명0.0001.0000.2060.0000.2530.3520.565
납부매체0.0000.2061.0000.9990.5150.3260.379
납부매체전자고지여부0.0000.0000.9991.0000.2070.1500.000
납부건수0.0000.2530.5150.2071.0000.3410.448
납부금액0.0000.3520.3260.1500.3411.0000.000
납부매체비율0.0000.5650.3790.0000.4480.0001.000
2024-01-10T07:12:43.045429image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
납부매체전자고지여부납부매체세목명납부년도
납부매체전자고지여부1.0000.9560.0000.000
납부매체0.9561.0000.0850.000
세목명0.0000.0851.0000.000
납부년도0.0000.0000.0001.000
2024-01-10T07:12:43.137551image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
납부건수납부금액납부매체비율납부년도세목명납부매체납부매체전자고지여부
납부건수1.0000.8310.7220.0000.1070.1800.157
납부금액0.8311.0000.5220.0000.1580.1550.149
납부매체비율0.7220.5221.0000.0000.2790.1700.000
납부년도0.0000.0000.0001.0000.0000.0000.000
세목명0.1070.1580.2790.0001.0000.0850.000
납부매체0.1800.1550.1700.0000.0851.0000.956
납부매체전자고지여부0.1570.1490.0000.0000.0000.9561.000

Missing values

2024-01-10T07:12:40.664430image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-01-10T07:12:40.807960image/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
0충청남도아산시442002017등록면허세ARSN1150000
1충청남도아산시442002017자동차세ARSN771248784034
2충청남도아산시442002017자동차세ARSY45003102
3충청남도아산시442002017재산세ARSN971280786042
4충청남도아산시442002017재산세ARSY34362501
5충청남도아산시442002017주민세ARSN4751700021
6충청남도아산시442002017등록면허세가상계좌Y264115893751307
7충청남도아산시442002017등록세가상계좌Y964585900
8충청남도아산시442002017면허세가상계좌Y545973400
9충청남도아산시442002017사업소세가상계좌Y25389300
시도명시군구명자치단체코드납부년도세목명납부매체납부매체전자고지여부납부건수납부금액납부매체비율
392충청남도아산시442002021주민세지자체방문N2174465096608
393충청남도아산시442002021지방소득세지자체방문N8433452408603
394충청남도아산시442002021지역자원시설세지자체방문N239451400
395충청남도아산시442002021취득세지자체방문N63461320310985022
396충청남도아산시442002021등록면허세페이사납부Y42252211603
397충청남도아산시442002021자동차세페이사납부Y6968129318823042
398충청남도아산시442002021재산세페이사납부Y519476567992031
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