Overview

Dataset statistics

Number of variables10
Number of observations345
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory28.8 KiB
Average record size in memory85.4 B

Variable types

Categorical6
Boolean1
Numeric3

Dataset

Description2017~2021년도 충청남도 보령시 지방세 관련 신용카드,가상계좌 등 지방세 납부매체*별 납부 현황 항목에 대한 자료를 제공합니다.
Author충청남도
URLhttps://alldam.chungnam.go.kr/index.chungnam?menuCd=DOM_000000201001001001&st=&cds=&orgCd=&apiType=&isOpen=Y&pageIndex=350&beforeMenuCd=DOM_000000201001001000&publicdatapk=15079092

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 16 (4.6%) zerosZeros

Reproduction

Analysis started2024-01-09 22:06:40.967587
Analysis finished2024-01-09 22:06:42.402263
Duration1.43 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시도명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size2.8 KiB
충청남도
345 

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 345
100.0%

Length

2024-01-10T07:06:42.454122image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T07:06:42.525047image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
충청남도 345
100.0%

시군구명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size2.8 KiB
보령시
345 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
보령시 345
100.0%

Length

2024-01-10T07:06:42.602485image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T07:06:42.679587image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
보령시 345
100.0%

자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size2.8 KiB
44180
345 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row44180
2nd row44180
3rd row44180
4th row44180
5th row44180

Common Values

ValueCountFrequency (%)
44180 345
100.0%

Length

2024-01-10T07:06:42.752249image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T07:06:42.824806image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
44180 345
100.0%

납부년도
Categorical

Distinct5
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size2.8 KiB
2020
73 
2019
72 
2021
71 
2017
66 
2018
63 

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 73
21.2%
2019 72
20.9%
2021 71
20.6%
2017 66
19.1%
2018 63
18.3%

Length

2024-01-10T07:06:42.897907image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T07:06:42.981527image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2020 73
21.2%
2019 72
20.9%
2021 71
20.6%
2017 66
19.1%
2018 63
18.3%

세목명
Categorical

Distinct14
Distinct (%)4.1%
Missing0
Missing (%)0.0%
Memory size2.8 KiB
등록면허세
43 
자동차세
43 
재산세
43 
주민세
43 
지방소득세
38 
Other values (9)
135 

Length

Max length7
Median length3
Mean length3.9217391
Min length3

Unique

Unique2 ?
Unique (%)0.6%

Sample

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

Common Values

ValueCountFrequency (%)
등록면허세 43
12.5%
자동차세 43
12.5%
재산세 43
12.5%
주민세 43
12.5%
지방소득세 38
11.0%
취득세 37
10.7%
등록세 28
8.1%
면허세 23
6.7%
종합토지세 21
6.1%
지역자원시설세 11
 
3.2%
Other values (4) 15
 
4.3%

Length

2024-01-10T07:06:43.091527image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
등록면허세 43
12.5%
자동차세 43
12.5%
재산세 43
12.5%
주민세 43
12.5%
지방소득세 38
11.0%
취득세 37
10.7%
등록세 28
8.1%
면허세 23
6.7%
종합토지세 21
6.1%
지역자원시설세 11
 
3.2%
Other values (4) 15
 
4.3%

납부매체
Categorical

HIGH CORRELATION 

Distinct9
Distinct (%)2.6%
Missing0
Missing (%)0.0%
Memory size2.8 KiB
가상계좌
52 
은행창구
52 
지자체방문
44 
기타
43 
위택스
39 
Other values (4)
115 

Length

Max length5
Median length4
Mean length4.0405797
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
가상계좌 52
15.1%
은행창구 52
15.1%
지자체방문 44
12.8%
기타 43
12.5%
위택스 39
11.3%
인터넷지로 39
11.3%
자동화기기 39
11.3%
자동이체 20
 
5.8%
페이사납부 17
 
4.9%

Length

2024-01-10T07:06:43.238620image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T07:06:43.340997image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
가상계좌 52
15.1%
은행창구 52
15.1%
지자체방문 44
12.8%
기타 43
12.5%
위택스 39
11.3%
인터넷지로 39
11.3%
자동화기기 39
11.3%
자동이체 20
 
5.8%
페이사납부 17
 
4.9%

납부매체전자고지여부
Boolean

HIGH CORRELATION 

Distinct2
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size477.0 B
False
178 
True
167 
ValueCountFrequency (%)
False 178
51.6%
True 167
48.4%
2024-01-10T07:06:43.448106image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

납부건수
Real number (ℝ)

HIGH CORRELATION 

Distinct282
Distinct (%)81.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4896.9159
Minimum1
Maximum49121
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.2 KiB
2024-01-10T07:06:43.557508image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q145
median1265
Q35354
95-th percentile23040
Maximum49121
Range49120
Interquartile range (IQR)5309

Descriptive statistics

Standard deviation8462.9913
Coefficient of variation (CV)1.7282288
Kurtosis8.1288545
Mean4896.9159
Median Absolute Deviation (MAD)1261
Skewness2.7185549
Sum1689436
Variance71622221
MonotonicityNot monotonic
2024-01-10T07:06:43.702379image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 22
 
6.4%
2 9
 
2.6%
5 6
 
1.7%
4 6
 
1.7%
12 4
 
1.2%
9 3
 
0.9%
6 3
 
0.9%
13 3
 
0.9%
3 3
 
0.9%
29 3
 
0.9%
Other values (272) 283
82.0%
ValueCountFrequency (%)
1 22
6.4%
2 9
2.6%
3 3
 
0.9%
4 6
 
1.7%
5 6
 
1.7%
6 3
 
0.9%
7 2
 
0.6%
8 2
 
0.6%
9 3
 
0.9%
11 1
 
0.3%
ValueCountFrequency (%)
49121 1
0.3%
46299 1
0.3%
43147 1
0.3%
41644 1
0.3%
40952 1
0.3%
39402 1
0.3%
37082 1
0.3%
34414 1
0.3%
34342 1
0.3%
31360 1
0.3%

납부금액
Real number (ℝ)

HIGH CORRELATION 

Distinct344
Distinct (%)99.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.9515506 × 109
Minimum1960
Maximum1.8962373 × 1010
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.2 KiB
2024-01-10T07:06:43.840560image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1960
5-th percentile30814
Q114748240
median3.9316576 × 108
Q32.5207553 × 109
95-th percentile8.5539913 × 109
Maximum1.8962373 × 1010
Range1.8962371 × 1010
Interquartile range (IQR)2.506007 × 109

Descriptive statistics

Standard deviation3.2433113 × 109
Coefficient of variation (CV)1.661915
Kurtosis5.6474109
Mean1.9515506 × 109
Median Absolute Deviation (MAD)3.9302168 × 108
Skewness2.2782252
Sum6.7328497 × 1011
Variance1.0519068 × 1019
MonotonicityNot monotonic
2024-01-10T07:06:43.987429image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
10300 2
 
0.6%
282957110 1
 
0.3%
55720 1
 
0.3%
18997380 1
 
0.3%
1960 1
 
0.3%
2037560 1
 
0.3%
3537729480 1
 
0.3%
3977464090 1
 
0.3%
3557659330 1
 
0.3%
837184520 1
 
0.3%
Other values (334) 334
96.8%
ValueCountFrequency (%)
1960 1
0.3%
3030 1
0.3%
3550 1
0.3%
4500 1
0.3%
4710 1
0.3%
5150 1
0.3%
6180 1
0.3%
10300 2
0.6%
14810 1
0.3%
15110 1
0.3%
ValueCountFrequency (%)
18962372730 1
0.3%
17874242000 1
0.3%
15768462950 1
0.3%
13381386980 1
0.3%
12567404820 1
0.3%
12407140100 1
0.3%
12308818170 1
0.3%
11948722880 1
0.3%
11876651180 1
0.3%
11612292550 1
0.3%

납부매체비율
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct262
Distinct (%)75.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12.463913
Minimum0
Maximum83.71
Zeros16
Zeros (%)4.6%
Negative0
Negative (%)0.0%
Memory size3.2 KiB
2024-01-10T07:06:44.115258image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.01
Q10.17
median7.75
Q317.43
95-th percentile40.892
Maximum83.71
Range83.71
Interquartile range (IQR)17.26

Descriptive statistics

Standard deviation15.12698
Coefficient of variation (CV)1.2136622
Kurtosis4.5652669
Mean12.463913
Median Absolute Deviation (MAD)7.69
Skewness1.8562439
Sum4300.05
Variance228.82553
MonotonicityNot monotonic
2024-01-10T07:06:44.255428image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.01 20
 
5.8%
0.0 16
 
4.6%
0.02 8
 
2.3%
0.03 7
 
2.0%
0.06 7
 
2.0%
0.05 6
 
1.7%
0.04 4
 
1.2%
0.17 3
 
0.9%
0.13 3
 
0.9%
0.16 3
 
0.9%
Other values (252) 268
77.7%
ValueCountFrequency (%)
0.0 16
4.6%
0.01 20
5.8%
0.02 8
 
2.3%
0.03 7
 
2.0%
0.04 4
 
1.2%
0.05 6
 
1.7%
0.06 7
 
2.0%
0.07 2
 
0.6%
0.08 1
 
0.3%
0.09 2
 
0.6%
ValueCountFrequency (%)
83.71 1
0.3%
83.33 1
0.3%
80.61 1
0.3%
77.01 1
0.3%
75.58 1
0.3%
49.56 1
0.3%
49.33 1
0.3%
49.18 1
0.3%
49.16 1
0.3%
49.02 1
0.3%

Interactions

2024-01-10T07:06:41.742512image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T07:06:41.256469image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T07:06:41.467675image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T07:06:41.822282image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T07:06:41.321039image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T07:06:41.560495image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T07:06:41.916597image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T07:06:41.392433image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T07:06:41.655813image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-01-10T07:06:44.324246image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
납부년도세목명납부매체납부매체전자고지여부납부건수납부금액납부매체비율
납부년도1.0000.0000.0000.0000.0000.0000.000
세목명0.0001.0000.1490.2740.2660.5320.733
납부매체0.0000.1491.0001.0000.3880.3410.535
납부매체전자고지여부0.0000.2741.0001.0000.1960.0710.171
납부건수0.0000.2660.3880.1961.0000.6820.602
납부금액0.0000.5320.3410.0710.6821.0000.314
납부매체비율0.0000.7330.5350.1710.6020.3141.000
2024-01-10T07:06:44.407279image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
납부매체전자고지여부납부매체세목명납부년도
납부매체전자고지여부1.0000.9900.2110.000
납부매체0.9901.0000.0620.000
세목명0.2110.0621.0000.000
납부년도0.0000.0000.0001.000
2024-01-10T07:06:44.482918image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
납부건수납부금액납부매체비율납부년도세목명납부매체납부매체전자고지여부
납부건수1.0000.6750.8570.0000.1090.1870.148
납부금액0.6751.0000.5200.0000.2460.1620.055
납부매체비율0.8570.5201.0000.0000.3600.3170.181
납부년도0.0000.0000.0001.0000.0000.0000.000
세목명0.1090.2460.3600.0001.0000.0620.211
납부매체0.1870.1620.3170.0000.0621.0000.990
납부매체전자고지여부0.1480.0550.1810.0000.2110.9901.000

Missing values

2024-01-10T07:06:42.252029image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-01-10T07:06:42.357895image/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
0충청남도보령시441802017등록면허세가상계좌Y1068728295711010.97
1충청남도보령시441802017등록세가상계좌Y1525906100.02
2충청남도보령시441802017면허세가상계좌Y292941400.03
3충청남도보령시441802017자동차세가상계좌Y31360463444147032.18
4충청남도보령시441802017재산세가상계좌Y34414499241715035.32
5충청남도보령시441802017종합토지세가상계좌Y21073300.0
6충청남도보령시441802017주민세가상계좌Y1698255914091017.43
7충청남도보령시441802017지방소득세가상계좌Y290828739694502.98
8충청남도보령시441802017지역자원시설세가상계좌Y1329839204300.01
9충청남도보령시441802017취득세가상계좌Y1033157684629501.06
시도명시군구명자치단체코드납부년도세목명납부매체납부매체전자고지여부납부건수납부금액납부매체비율
335충청남도보령시441802021종합토지세지자체방문N1240200.01
336충청남도보령시441802021주민세지자체방문N14254074208013.37
337충청남도보령시441802021지방소득세지자체방문N286975669802.68
338충청남도보령시441802021취득세지자체방문N3179452020102.98
339충청남도보령시441802021등록면허세페이사납부Y15720239605.78
340충청남도보령시441802021자동차세페이사납부Y93816594087034.54
341충청남도보령시441802021재산세페이사납부Y111510407885041.05
342충청남도보령시441802021주민세페이사납부Y481484212017.71
343충청남도보령시441802021지방소득세페이사납부Y83853300.29
344충청남도보령시441802021취득세페이사납부Y17147482400.63