Overview

Dataset statistics

Number of variables10
Number of observations324
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory27.0 KiB
Average record size in memory85.4 B

Variable types

Categorical6
Boolean1
Numeric3

Dataset

Description2017년부터 2022년까지 서천군 지방세 세목별 수납방법(ARS, 가상계좌, 위택스, 은행창구, 자동화기계 등)에 대한 납부건수 및 납부금액에 대한 과세자료를 제공합니다.
Author충청남도
URLhttps://alldam.chungnam.go.kr/index.chungnam?menuCd=DOM_000000201001001001&st=&cds=&orgCd=&apiType=&isOpen=Y&pageIndex=347&beforeMenuCd=DOM_000000201001001000&publicdatapk=15080478

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
납부금액 has unique valuesUnique
납부매체비율 has 10 (3.1%) zerosZeros

Reproduction

Analysis started2024-01-09 23:05:07.923184
Analysis finished2024-01-09 23:05:09.496866
Duration1.57 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시도명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size2.7 KiB
충청남도
324 

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 324
100.0%

Length

2024-01-10T08:05:09.550277image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T08:05:09.631986image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
충청남도 324
100.0%

시군구명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size2.7 KiB
서천군
324 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
서천군 324
100.0%

Length

2024-01-10T08:05:09.717994image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T08:05:09.801839image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
서천군 324
100.0%

자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size2.7 KiB
44770
324 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row44770
2nd row44770
3rd row44770
4th row44770
5th row44770

Common Values

ValueCountFrequency (%)
44770 324
100.0%

Length

2024-01-10T08:05:09.888801image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T08:05:09.992811image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
44770 324
100.0%

납부년도
Categorical

Distinct5
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size2.7 KiB
2020
72 
2021
72 
2017
68 
2018
63 
2019
49 

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 72
22.2%
2021 72
22.2%
2017 68
21.0%
2018 63
19.4%
2019 49
15.1%

Length

2024-01-10T08:05:10.109208image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T08:05:10.231046image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2020 72
22.2%
2021 72
22.2%
2017 68
21.0%
2018 63
19.4%
2019 49
15.1%

세목명
Categorical

Distinct13
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Memory size2.7 KiB
등록면허세
46 
자동차세
45 
재산세
45 
주민세
45 
지방소득세
39 
Other values (8)
104 

Length

Max length7
Median length3
Mean length3.8333333
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
등록면허세 46
14.2%
자동차세 45
13.9%
재산세 45
13.9%
주민세 45
13.9%
지방소득세 39
12.0%
취득세 38
11.7%
등록세 26
8.0%
면허세 13
 
4.0%
종합토지세 11
 
3.4%
담배소비세 9
 
2.8%
Other values (3) 7
 
2.2%

Length

2024-01-10T08:05:10.386751image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
등록면허세 46
14.2%
자동차세 45
13.9%
재산세 45
13.9%
주민세 45
13.9%
지방소득세 39
12.0%
취득세 38
11.7%
등록세 26
8.0%
면허세 13
 
4.0%
종합토지세 11
 
3.4%
담배소비세 9
 
2.8%
Other values (3) 7
 
2.2%

납부매체
Categorical

HIGH CORRELATION 

Distinct10
Distinct (%)3.1%
Missing0
Missing (%)0.0%
Memory size2.7 KiB
가상계좌
49 
은행창구
47 
위택스
38 
인터넷지로
34 
기타
32 
Other values (5)
124 

Length

Max length5
Median length4
Mean length3.9197531
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
가상계좌 49
15.1%
은행창구 47
14.5%
위택스 38
11.7%
인터넷지로 34
10.5%
기타 32
9.9%
지자체방문 32
9.9%
ARS 31
9.6%
자동화기기 30
9.3%
자동이체 20
6.2%
페이사납부 11
 
3.4%

Length

2024-01-10T08:05:10.546816image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T08:05:10.697148image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
가상계좌 49
15.1%
은행창구 47
14.5%
위택스 38
11.7%
인터넷지로 34
10.5%
기타 32
9.9%
지자체방문 32
9.9%
ars 31
9.6%
자동화기기 30
9.3%
자동이체 20
6.2%
페이사납부 11
 
3.4%

납부매체전자고지여부
Boolean

HIGH CORRELATION 

Distinct2
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size456.0 B
False
172 
True
152 
ValueCountFrequency (%)
False 172
53.1%
True 152
46.9%
2024-01-10T08:05:10.845282image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

납부건수
Real number (ℝ)

HIGH CORRELATION 

Distinct271
Distinct (%)83.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2946.2716
Minimum1
Maximum32159
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.0 KiB
2024-01-10T08:05:10.975653image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2.15
Q169.75
median611.5
Q32987.25
95-th percentile14078
Maximum32159
Range32158
Interquartile range (IQR)2917.5

Descriptive statistics

Standard deviation5223.5441
Coefficient of variation (CV)1.7729337
Kurtosis8.4377741
Mean2946.2716
Median Absolute Deviation (MAD)607
Skewness2.7257083
Sum954592
Variance27285413
MonotonicityNot monotonic
2024-01-10T08:05:11.120609image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 9
 
2.8%
2 8
 
2.5%
5 7
 
2.2%
3 7
 
2.2%
4 5
 
1.5%
73 4
 
1.2%
6 3
 
0.9%
72 2
 
0.6%
312 2
 
0.6%
60 2
 
0.6%
Other values (261) 275
84.9%
ValueCountFrequency (%)
1 9
2.8%
2 8
2.5%
3 7
2.2%
4 5
1.5%
5 7
2.2%
6 3
 
0.9%
7 1
 
0.3%
8 2
 
0.6%
11 2
 
0.6%
12 1
 
0.3%
ValueCountFrequency (%)
32159 1
0.3%
30844 1
0.3%
26931 1
0.3%
24519 1
0.3%
22201 1
0.3%
20912 1
0.3%
19617 1
0.3%
19376 1
0.3%
18673 1
0.3%
17881 1
0.3%

납부금액
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct324
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.1513682 × 108
Minimum2560
Maximum2.8167312 × 1010
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.0 KiB
2024-01-10T08:05:11.241857image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2560
5-th percentile62862
Q17759217.5
median1.220751 × 108
Q38.1275599 × 108
95-th percentile4.7194165 × 109
Maximum2.8167312 × 1010
Range2.816731 × 1010
Interquartile range (IQR)8.0499677 × 108

Descriptive statistics

Standard deviation2.1764373 × 109
Coefficient of variation (CV)2.3782643
Kurtosis77.29809
Mean9.1513682 × 108
Median Absolute Deviation (MAD)1.2199404 × 108
Skewness7.0923051
Sum2.9650433 × 1011
Variance4.7368792 × 1018
MonotonicityNot monotonic
2024-01-10T08:05:11.355169image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
405170 1
 
0.3%
17803950 1
 
0.3%
1096368130 1
 
0.3%
44162720 1
 
0.3%
30900960 1
 
0.3%
195251390 1
 
0.3%
499351490 1
 
0.3%
42000 1
 
0.3%
1504620 1
 
0.3%
44624120 1
 
0.3%
Other values (314) 314
96.9%
ValueCountFrequency (%)
2560 1
0.3%
3580 1
0.3%
6180 1
0.3%
6690 1
0.3%
10830 1
0.3%
12600 1
0.3%
13490 1
0.3%
15450 1
0.3%
24840 1
0.3%
25200 1
0.3%
ValueCountFrequency (%)
28167312370 1
0.3%
8110702090 1
0.3%
8048316930 1
0.3%
7629165770 1
0.3%
7625455000 1
0.3%
7615609500 1
0.3%
7557100000 1
0.3%
7023124190 1
0.3%
6291147830 1
0.3%
5920147680 1
0.3%

납부매체비율
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct280
Distinct (%)86.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean13.910093
Minimum0
Maximum91.88
Zeros10
Zeros (%)3.1%
Negative0
Negative (%)0.0%
Memory size3.0 KiB
2024-01-10T08:05:11.514439image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.01
Q11.04
median7.505
Q318.94
95-th percentile49.77
Maximum91.88
Range91.88
Interquartile range (IQR)17.9

Descriptive statistics

Standard deviation17.206158
Coefficient of variation (CV)1.236955
Kurtosis4.5877462
Mean13.910093
Median Absolute Deviation (MAD)7.28
Skewness1.9586838
Sum4506.87
Variance296.05187
MonotonicityNot monotonic
2024-01-10T08:05:11.672160image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 10
 
3.1%
0.01 10
 
3.1%
0.02 4
 
1.2%
0.04 4
 
1.2%
0.06 3
 
0.9%
0.07 3
 
0.9%
0.16 3
 
0.9%
13.39 2
 
0.6%
2.17 2
 
0.6%
1.08 2
 
0.6%
Other values (270) 281
86.7%
ValueCountFrequency (%)
0.0 10
3.1%
0.01 10
3.1%
0.02 4
 
1.2%
0.03 1
 
0.3%
0.04 4
 
1.2%
0.05 2
 
0.6%
0.06 3
 
0.9%
0.07 3
 
0.9%
0.08 2
 
0.6%
0.1 1
 
0.3%
ValueCountFrequency (%)
91.88 1
0.3%
90.88 1
0.3%
89.55 1
0.3%
87.76 1
0.3%
85.53 1
0.3%
60.28 1
0.3%
57.93 1
0.3%
56.18 1
0.3%
53.1 1
0.3%
52.45 1
0.3%

Interactions

2024-01-10T08:05:08.809850image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T08:05:08.283543image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T08:05:08.521791image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T08:05:08.894522image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T08:05:08.371087image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T08:05:08.608104image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T08:05:08.971175image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T08:05:08.449455image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T08:05:08.709681image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-01-10T08:05:11.773063image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
납부년도세목명납부매체납부매체전자고지여부납부건수납부금액납부매체비율
납부년도1.0000.0000.0000.0000.0000.0000.000
세목명0.0001.0000.0140.0000.2420.5490.610
납부매체0.0000.0141.0001.0000.5440.3050.530
납부매체전자고지여부0.0000.0001.0001.0000.0880.1950.258
납부건수0.0000.2420.5440.0881.0000.1950.649
납부금액0.0000.5490.3050.1950.1951.0000.039
납부매체비율0.0000.6100.5300.2580.6490.0391.000
2024-01-10T08:05:11.896851image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
납부매체전자고지여부납부매체세목명납부년도
납부매체전자고지여부1.0000.9870.0000.000
납부매체0.9871.0000.0000.000
세목명0.0000.0001.0000.000
납부년도0.0000.0000.0001.000
2024-01-10T08:05:12.002410image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
납부건수납부금액납부매체비율납부년도세목명납부매체납부매체전자고지여부
납부건수1.0000.7550.8220.0000.1010.1940.066
납부금액0.7551.0000.5600.0000.3480.1850.128
납부매체비율0.8220.5601.0000.0000.3290.2860.191
납부년도0.0000.0000.0001.0000.0000.0000.000
세목명0.1010.3480.3290.0001.0000.0000.000
납부매체0.1940.1850.2860.0000.0001.0000.987
납부매체전자고지여부0.0660.1280.1910.0000.0000.9871.000

Missing values

2024-01-10T08:05:09.068119image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-01-10T08:05:09.448953image/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
0충청남도서천군447702017등록면허세ARSN394051703.17
1충청남도서천군447702017자동차세ARSN62011046948050.37
2충청남도서천군447702017재산세ARSN4383020298035.58
3충청남도서천군447702017종합토지세ARSN125600.08
4충청남도서천군447702017주민세ARSN10615150208.61
5충청남도서천군447702017지방소득세ARSN2244996501.79
6충청남도서천군447702017취득세ARSN57386400.41
7충청남도서천군447702017등록면허세가상계좌Y4888908322309.74
8충청남도서천군447702017등록세가상계좌Y22394900.0
9충청남도서천군447702017면허세가상계좌Y6339900.01
시도명시군구명자치단체코드납부년도세목명납부매체납부매체전자고지여부납부건수납부금액납부매체비율
314충청남도서천군447702021자동차세지자체방문N234943442830033.05
315충청남도서천군447702021재산세지자체방문N116722694256016.42
316충청남도서천군447702021주민세지자체방문N625187700708.79
317충청남도서천군447702021지방소득세지자체방문N178442757102.5
318충청남도서천군447702021취득세지자체방문N1175140565063016.53
319충청남도서천군447702021등록면허세페이사납부Y637873105.2
320충청남도서천군447702021자동차세페이사납부Y2925029876024.11
321충청남도서천군447702021재산세페이사납부Y7303769706060.28
322충청남도서천군447702021주민세페이사납부Y11812848609.74
323충청남도서천군447702021취득세페이사납부Y851304000.66