Overview

Dataset statistics

Number of variables8
Number of observations233
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory15.6 KiB
Average record size in memory68.6 B

Variable types

Categorical6
Numeric2

Dataset

Description2017.1.1.부터 2022.12.31.까지 서천군 세목별 세원 유형별 부과건수 및 부과금액에 대한 과세현황 자료에 대하여 제공합니다.
Author충청남도
URLhttps://alldam.chungnam.go.kr/index.chungnam?menuCd=DOM_000000201001001001&st=&cds=&orgCd=&apiType=&isOpen=Y&pageIndex=347&beforeMenuCd=DOM_000000201001001000&publicdatapk=15080475

Alerts

시도명 has constant value ""Constant
시군구명 has constant value ""Constant
자치단체코드 has constant value ""Constant
세목명 is highly overall correlated with 부과건수 and 1 other fieldsHigh correlation
세원 유형명 is highly overall correlated with 부과건수 and 2 other fieldsHigh correlation
부과건수 is highly overall correlated with 부과금액 and 2 other fieldsHigh correlation
부과금액 is highly overall correlated with 부과건수 and 1 other fieldsHigh correlation
부과건수 has 61 (26.2%) zerosZeros
부과금액 has 61 (26.2%) zerosZeros

Reproduction

Analysis started2024-01-09 21:27:54.709351
Analysis finished2024-01-09 21:27:55.673791
Duration0.96 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시도명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
충청남도
233 

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 233
100.0%

Length

2024-01-10T06:27:55.735399image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T06:27:55.820327image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
충청남도 233
100.0%

시군구명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
서천군
233 

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 233
100.0%

Length

2024-01-10T06:27:55.907510image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T06:27:55.972622image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
서천군 233
100.0%

자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
44770
233 

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 233
100.0%

Length

2024-01-10T06:27:56.041541image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T06:27:56.115370image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
44770 233
100.0%

과세년도
Categorical

Distinct5
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
2017
47 
2018
47 
2019
47 
2020
46 
2021
46 

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 (%)
2017 47
20.2%
2018 47
20.2%
2019 47
20.2%
2020 46
19.7%
2021 46
19.7%

Length

2024-01-10T06:27:56.184471image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T06:27:56.261329image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2017 47
20.2%
2018 47
20.2%
2019 47
20.2%
2020 46
19.7%
2021 46
19.7%

세목명
Categorical

HIGH CORRELATION 

Distinct13
Distinct (%)5.6%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
취득세
45 
주민세
43 
자동차세
35 
재산세
25 
레저세
20 
Other values (8)
65 

Length

Max length7
Median length3
Mean length3.695279
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row지역자원시설세
2nd row지역자원시설세
3rd row담배소비세
4th row교육세
5th row도시계획세

Common Values

ValueCountFrequency (%)
취득세 45
19.3%
주민세 43
18.5%
자동차세 35
15.0%
재산세 25
10.7%
레저세 20
8.6%
지방소득세 20
8.6%
지역자원시설세 11
 
4.7%
등록면허세 10
 
4.3%
담배소비세 5
 
2.1%
교육세 5
 
2.1%
Other values (3) 14
 
6.0%

Length

2024-01-10T06:27:56.353680image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
취득세 45
19.3%
주민세 43
18.5%
자동차세 35
15.0%
재산세 25
10.7%
레저세 20
8.6%
지방소득세 20
8.6%
지역자원시설세 11
 
4.7%
등록면허세 10
 
4.3%
담배소비세 5
 
2.1%
교육세 5
 
2.1%
Other values (3) 14
 
6.0%

세원 유형명
Categorical

HIGH CORRELATION 

Distinct50
Distinct (%)21.5%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
지역자원시설세(소방)
 
5
기계장비
 
5
차량
 
5
재산세(건축물)
 
5
교육세
 
5
Other values (45)
208 

Length

Max length11
Median length8
Mean length6.0429185
Min length2

Unique

Unique3 ?
Unique (%)1.3%

Sample

1st row지역자원시설세(소방)
2nd row지역자원시설세(특자)
3rd row담배소비세
4th row교육세
5th row도시계획세

Common Values

ValueCountFrequency (%)
지역자원시설세(소방) 5
 
2.1%
기계장비 5
 
2.1%
차량 5
 
2.1%
재산세(건축물) 5
 
2.1%
교육세 5
 
2.1%
건축물 5
 
2.1%
주택(개별) 5
 
2.1%
주택(단독) 5
 
2.1%
기타 5
 
2.1%
재산세(항공기) 5
 
2.1%
Other values (40) 183
78.5%

Length

2024-01-10T06:27:56.449363image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
지역자원시설세(소방 5
 
2.1%
승용 5
 
2.1%
3륜이하 5
 
2.1%
기계장비 5
 
2.1%
화물 5
 
2.1%
승합 5
 
2.1%
기타승용 5
 
2.1%
체납 5
 
2.1%
지방소비세 5
 
2.1%
주민세(종업원분 5
 
2.1%
Other values (40) 183
78.5%

부과건수
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct163
Distinct (%)70.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8813.7425
Minimum0
Maximum149650
Zeros61
Zeros (%)26.2%
Negative0
Negative (%)0.0%
Memory size2.2 KiB
2024-01-10T06:27:56.546626image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median471
Q36139
95-th percentile41591.8
Maximum149650
Range149650
Interquartile range (IQR)6139

Descriptive statistics

Standard deviation23735.663
Coefficient of variation (CV)2.6930289
Kurtosis22.806787
Mean8813.7425
Median Absolute Deviation (MAD)471
Skewness4.555968
Sum2053602
Variance5.6338169 × 108
MonotonicityNot monotonic
2024-01-10T06:27:56.668262image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 61
 
26.2%
12 5
 
2.1%
7 2
 
0.9%
20 2
 
0.9%
6 2
 
0.9%
94 2
 
0.9%
101 2
 
0.9%
2 2
 
0.9%
6541 1
 
0.4%
4401 1
 
0.4%
Other values (153) 153
65.7%
ValueCountFrequency (%)
0 61
26.2%
1 1
 
0.4%
2 2
 
0.9%
3 1
 
0.4%
6 2
 
0.9%
7 2
 
0.9%
11 1
 
0.4%
12 5
 
2.1%
17 1
 
0.4%
20 2
 
0.9%
ValueCountFrequency (%)
149650 1
0.4%
148379 1
0.4%
145355 1
0.4%
144887 1
0.4%
144679 1
0.4%
64590 1
0.4%
63465 1
0.4%
62965 1
0.4%
62350 1
0.4%
61381 1
0.4%

부과금액
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct173
Distinct (%)74.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.3173254 × 109
Minimum0
Maximum2.2510836 × 1010
Zeros61
Zeros (%)26.2%
Negative0
Negative (%)0.0%
Memory size2.2 KiB
2024-01-10T06:27:56.781859image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2.53498 × 108
Q31.551937 × 109
95-th percentile5.015482 × 109
Maximum2.2510836 × 1010
Range2.2510836 × 1010
Interquartile range (IQR)1.551937 × 109

Descriptive statistics

Standard deviation2.2755873 × 109
Coefficient of variation (CV)1.7274299
Kurtosis32.136026
Mean1.3173254 × 109
Median Absolute Deviation (MAD)2.53498 × 108
Skewness4.2613426
Sum3.0693682 × 1011
Variance5.1782975 × 1018
MonotonicityNot monotonic
2024-01-10T06:27:56.887438image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 61
 
26.2%
772313000 1
 
0.4%
13286000 1
 
0.4%
23411000 1
 
0.4%
6497196000 1
 
0.4%
1089257000 1
 
0.4%
3525379000 1
 
0.4%
10877000 1
 
0.4%
1301128000 1
 
0.4%
2980089000 1
 
0.4%
Other values (163) 163
70.0%
ValueCountFrequency (%)
0 61
26.2%
370000 1
 
0.4%
1131000 1
 
0.4%
1380000 1
 
0.4%
1534000 1
 
0.4%
1563000 1
 
0.4%
1623000 1
 
0.4%
2083000 1
 
0.4%
2154000 1
 
0.4%
4579000 1
 
0.4%
ValueCountFrequency (%)
22510836000 1
0.4%
8316584000 1
0.4%
7625455000 1
0.4%
7557100000 1
0.4%
6497196000 1
0.4%
6364254000 1
0.4%
6188428000 1
0.4%
6118785000 1
0.4%
5906022000 1
0.4%
5649443000 1
0.4%

Interactions

2024-01-10T06:27:55.304245image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T06:27:55.148275image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T06:27:55.392099image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T06:27:55.219395image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-01-10T06:27:56.965061image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
과세년도세목명세원 유형명부과건수부과금액
과세년도1.0000.0000.0000.0000.000
세목명0.0001.0001.0000.8340.668
세원 유형명0.0001.0001.0000.9820.896
부과건수0.0000.8340.9821.0000.497
부과금액0.0000.6680.8960.4971.000
2024-01-10T06:27:57.042604image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
과세년도세목명세원 유형명
과세년도1.0000.0000.000
세목명0.0001.0000.912
세원 유형명0.0000.9121.000
2024-01-10T06:27:57.111223image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
부과건수부과금액과세년도세목명세원 유형명
부과건수1.0000.7440.0000.6000.795
부과금액0.7441.0000.0000.4340.563
과세년도0.0000.0001.0000.0000.000
세목명0.6000.4340.0001.0000.912
세원 유형명0.7950.5630.0000.9121.000

Missing values

2024-01-10T06:27:55.500745image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-01-10T06:27:55.625069image/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

시도명시군구명자치단체코드과세년도세목명세원 유형명부과건수부과금액
0충청남도서천군447702017지역자원시설세지역자원시설세(소방)13455772313000
1충청남도서천군447702017지역자원시설세지역자원시설세(특자)6402936000
2충청남도서천군447702017담배소비세담배소비세1074124495000
3충청남도서천군447702017교육세교육세1453554775902000
4충청남도서천군447702017도시계획세도시계획세00
5충청남도서천군447702017취득세건축물7911363633000
6충청남도서천군447702017취득세주택(개별)14091398456000
7충청남도서천군447702017취득세주택(단독)298578515000
8충청남도서천군447702017취득세기타1725331000
9충청남도서천군447702017취득세항공기00
시도명시군구명자치단체코드과세년도세목명세원 유형명부과건수부과금액
223충청남도서천군447702021지방소득세지방소득세(특별징수)80793517238000
224충청남도서천군447702021지방소득세지방소득세(법인소득)9872690860000
225충청남도서천군447702021지방소득세지방소득세(양도소득)883950438000
226충청남도서천군447702021지방소득세지방소득세(종합소득)53041107125000
227충청남도서천군447702021등록면허세등록면허세(면허)16481230237000
228충청남도서천군447702021등록면허세등록면허세(등록)136311080862000
229충청남도서천군447702021지역자원시설세지역자원시설세(소방)140571109941000
230충청남도서천군447702021지역자원시설세지역자원시설세(시설)111013802000
231충청남도서천군447702021지역자원시설세지역자원시설세(특자)00
232충청남도서천군447702021체납체납305391876347000