Overview

Dataset statistics

Number of variables8
Number of observations141
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory9.5 KiB
Average record size in memory68.9 B

Variable types

Categorical6
Numeric2

Dataset

Description제공범위 : 지방세 세원이 되는 과세물건 유형별 부과된 현황을 제공. 관련 법령 : 지방세법. 소관기관 : 지방자치단체. 제공기관 : 시군구. 표준데이터 셋 제공시스템 : 표준지방세시스템. 자료기준일 : 매년 12월 31일
Author충청남도
URLhttps://alldam.chungnam.go.kr/index.chungnam?menuCd=DOM_000000201001001001&st=&cds=&orgCd=&apiType=&isOpen=Y&pageIndex=351&beforeMenuCd=DOM_000000201001001000&publicdatapk=15078560

Alerts

시도명 has constant value ""Constant
시군구명 has constant value ""Constant
자치단체코드 has constant value ""Constant
부과건수 is highly overall correlated with 부과금액 and 2 other fieldsHigh correlation
부과금액 is highly overall correlated with 부과건수 and 1 other fieldsHigh correlation
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 has 36 (25.5%) zerosZeros
부과금액 has 36 (25.5%) zerosZeros

Reproduction

Analysis started2024-01-09 23:10:16.705771
Analysis finished2024-01-09 23:10:17.395305
Duration0.69 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시도명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
충청남도
141 

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 141
100.0%

Length

2024-01-10T08:10:17.455346image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T08:10:17.539363image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
충청남도 141
100.0%

시군구명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
홍성군
141 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
홍성군 141
100.0%

Length

2024-01-10T08:10:17.626275image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T08:10:17.713042image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
홍성군 141
100.0%

자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
44800
141 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row44800
2nd row44800
3rd row44800
4th row44800
5th row44800

Common Values

ValueCountFrequency (%)
44800 141
100.0%

Length

2024-01-10T08:10:17.799084image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T08:10:17.884818image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
44800 141
100.0%

과세년도
Categorical

Distinct3
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
2017
47 
2018
47 
2019
47 

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
33.3%
2018 47
33.3%
2019 47
33.3%

Length

2024-01-10T08:10:17.972925image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T08:10:18.067275image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2017 47
33.3%
2018 47
33.3%
2019 47
33.3%

세목명
Categorical

HIGH CORRELATION 

Distinct13
Distinct (%)9.2%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
취득세
27 
주민세
27 
자동차세
21 
재산세
15 
레저세
12 
Other values (8)
39 

Length

Max length7
Median length3
Mean length3.6808511
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
취득세 27
19.1%
주민세 27
19.1%
자동차세 21
14.9%
재산세 15
10.6%
레저세 12
8.5%
지방소득세 12
8.5%
등록면허세 6
 
4.3%
지역자원시설세 6
 
4.3%
담배소비세 3
 
2.1%
교육세 3
 
2.1%
Other values (3) 9
 
6.4%

Length

2024-01-10T08:10:18.172342image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
취득세 27
19.1%
주민세 27
19.1%
자동차세 21
14.9%
재산세 15
10.6%
레저세 12
8.5%
지방소득세 12
8.5%
등록면허세 6
 
4.3%
지역자원시설세 6
 
4.3%
담배소비세 3
 
2.1%
교육세 3
 
2.1%
Other values (3) 9
 
6.4%

세원 유형명
Categorical

HIGH CORRELATION 

Distinct47
Distinct (%)33.3%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
담배소비세
 
3
재산세(주택)
 
3
도시계획세
 
3
건축물
 
3
주택(개별)
 
3
Other values (42)
126 

Length

Max length11
Median length8
Mean length6.0425532
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row담배소비세
2nd row교육세
3rd row도시계획세
4th row건축물
5th row주택(개별)

Common Values

ValueCountFrequency (%)
담배소비세 3
 
2.1%
재산세(주택) 3
 
2.1%
도시계획세 3
 
2.1%
건축물 3
 
2.1%
주택(개별) 3
 
2.1%
주택(단독) 3
 
2.1%
기타 3
 
2.1%
항공기 3
 
2.1%
기계장비 3
 
2.1%
차량 3
 
2.1%
Other values (37) 111
78.7%

Length

2024-01-10T08:10:18.276325image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
담배소비세 3
 
2.1%
주민세(재산분 3
 
2.1%
주민세(특별징수 3
 
2.1%
주민세(법인세분 3
 
2.1%
주민세(양도소득 3
 
2.1%
주민세(종합소득 3
 
2.1%
주민세(법인균등 3
 
2.1%
주민세(개인사업 3
 
2.1%
주민세(개인균등 3
 
2.1%
지방소비세 3
 
2.1%
Other values (37) 111
78.7%

부과건수
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct102
Distinct (%)72.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean13613.738
Minimum0
Maximum234656
Zeros36
Zeros (%)25.5%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2024-01-10T08:10:18.388531image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median604
Q38603
95-th percentile59949
Maximum234656
Range234656
Interquartile range (IQR)8603

Descriptive statistics

Standard deviation36619.793
Coefficient of variation (CV)2.6899147
Kurtosis26.209484
Mean13613.738
Median Absolute Deviation (MAD)604
Skewness4.8391128
Sum1919537
Variance1.3410093 × 109
MonotonicityNot monotonic
2024-01-10T08:10:18.507498image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 36
 
25.5%
12 4
 
2.8%
11 2
 
1.4%
109 1
 
0.7%
1320 1
 
0.7%
421 1
 
0.7%
36 1
 
0.7%
1134 1
 
0.7%
1190 1
 
0.7%
1217 1
 
0.7%
Other values (92) 92
65.2%
ValueCountFrequency (%)
0 36
25.5%
5 1
 
0.7%
6 1
 
0.7%
8 1
 
0.7%
11 2
 
1.4%
12 4
 
2.8%
13 1
 
0.7%
17 1
 
0.7%
20 1
 
0.7%
27 1
 
0.7%
ValueCountFrequency (%)
234656 1
0.7%
234186 1
0.7%
231275 1
0.7%
75066 1
0.7%
73930 1
0.7%
72354 1
0.7%
60459 1
0.7%
59949 1
0.7%
58536 1
0.7%
49270 1
0.7%

부과금액
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct106
Distinct (%)75.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.2122239 × 109
Minimum0
Maximum1.3577879 × 1010
Zeros36
Zeros (%)25.5%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2024-01-10T08:10:18.632458image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2.85486 × 108
Q33.176025 × 109
95-th percentile9.299037 × 109
Maximum1.3577879 × 1010
Range1.3577879 × 1010
Interquartile range (IQR)3.176025 × 109

Descriptive statistics

Standard deviation3.2387243 × 109
Coefficient of variation (CV)1.4640129
Kurtosis0.95127214
Mean2.2122239 × 109
Median Absolute Deviation (MAD)2.85486 × 108
Skewness1.4449233
Sum3.1192356 × 1011
Variance1.0489335 × 1019
MonotonicityNot monotonic
2024-01-10T08:10:18.768193image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 36
 
25.5%
7453773000 1
 
0.7%
5922906000 1
 
0.7%
7987371000 1
 
0.7%
424799000 1
 
0.7%
248819000 1
 
0.7%
1730475000 1
 
0.7%
1996849000 1
 
0.7%
5074164000 1
 
0.7%
10011336000 1
 
0.7%
Other values (96) 96
68.1%
ValueCountFrequency (%)
0 36
25.5%
295000 1
 
0.7%
363000 1
 
0.7%
520000 1
 
0.7%
1650000 1
 
0.7%
2010000 1
 
0.7%
2030000 1
 
0.7%
2520000 1
 
0.7%
3110000 1
 
0.7%
3272000 1
 
0.7%
ValueCountFrequency (%)
13577879000 1
0.7%
10521319000 1
0.7%
10361722000 1
0.7%
10011336000 1
0.7%
9754118000 1
0.7%
9489298000 1
0.7%
9380517000 1
0.7%
9299037000 1
0.7%
9267369000 1
0.7%
8920930000 1
0.7%

Interactions

2024-01-10T08:10:17.060933image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T08:10:16.918036image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T08:10:17.136103image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T08:10:16.985476image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-01-10T08:10:18.854195image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
과세년도세목명세원 유형명부과건수부과금액
과세년도1.0000.0000.0000.0000.000
세목명0.0001.0001.0000.7960.787
세원 유형명0.0001.0001.0000.9920.951
부과건수0.0000.7960.9921.0000.789
부과금액0.0000.7870.9510.7891.000
2024-01-10T08:10:18.941871image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
과세년도세목명세원 유형명
과세년도1.0000.0000.000
세목명0.0001.0000.857
세원 유형명0.0000.8571.000
2024-01-10T08:10:19.027334image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
부과건수부과금액과세년도세목명세원 유형명
부과건수1.0000.8060.0000.5740.786
부과금액0.8061.0000.0000.4830.624
과세년도0.0000.0001.0000.0000.000
세목명0.5740.4830.0001.0000.857
세원 유형명0.7860.6240.0000.8571.000

Missing values

2024-01-10T08:10:17.245035image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-01-10T08:10:17.351230image/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
0충청남도홍성군448002017담배소비세담배소비세1097453773000
1충청남도홍성군448002017교육세교육세23418610361722000
2충청남도홍성군448002017도시계획세도시계획세00
3충청남도홍성군448002017취득세건축물10527786936000
4충청남도홍성군448002017취득세주택(개별)11572227801000
5충청남도홍성군448002017취득세주택(단독)12423664399000
6충청남도홍성군448002017취득세기타1772934000
7충청남도홍성군448002017취득세항공기00
8충청남도홍성군448002017취득세기계장비405479817000
9충청남도홍성군448002017취득세차량80827447016000
시도명시군구명자치단체코드과세년도세목명세원 유형명부과건수부과금액
131충청남도홍성군448002019지역자원시설세지역자원시설세(특자)122520000
132충청남도홍성군448002019레저세소싸움00
133충청남도홍성군448002019레저세경정00
134충청남도홍성군448002019레저세경륜00
135충청남도홍성군448002019레저세경마00
136충청남도홍성군448002019지방소득세지방소득세(특별징수)172375986842000
137충청남도홍성군448002019지방소득세지방소득세(법인소득)15215921585000
138충청남도홍성군448002019지방소득세지방소득세(양도소득)11961360896000
139충청남도홍성군448002019지방소득세지방소득세(종합소득)96332406167000
140충청남도홍성군448002019체납체납415793176025000