Overview

Dataset statistics

Number of variables8
Number of observations135
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory9.1 KiB
Average record size in memory69.0 B

Variable types

Categorical6
Numeric2

Dataset

Description지방세를 과세를 위해 세원이 되는 과세 대상 유형별 부과된 현황으로 유형에 따른 세부담 수준의 형평성 검토 및 부동산 등 관련분야 규제정책 대상 확인 시 기초 자료로 활용
Author경기도 파주시
URLhttps://www.data.go.kr/data/15078356/fileData.do

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 29 (21.5%) zerosZeros
부과금액 has 29 (21.5%) zerosZeros

Reproduction

Analysis started2023-12-12 06:16:30.804356
Analysis finished2023-12-12 06:16:31.547048
Duration0.74 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
경기도
135 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
경기도 135
100.0%

Length

2023-12-12T15:16:31.609088image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T15:16:31.712453image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
경기도 135
100.0%

시군구명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
파주시
135 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
파주시 135
100.0%

Length

2023-12-12T15:16:31.825828image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T15:16:31.938890image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
파주시 135
100.0%

자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
41480
135 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row41480
2nd row41480
3rd row41480
4th row41480
5th row41480

Common Values

ValueCountFrequency (%)
41480 135
100.0%

Length

2023-12-12T15:16:32.048027image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T15:16:32.154232image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
41480 135
100.0%

과세년도
Categorical

Distinct3
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
2017
47 
2018
47 
2019
41 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2019
2nd row2019
3rd row2019
4th row2019
5th row2019

Common Values

ValueCountFrequency (%)
2017 47
34.8%
2018 47
34.8%
2019 41
30.4%

Length

2023-12-12T15:16:32.239954image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T15:16:32.353803image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2017 47
34.8%
2018 47
34.8%
2019 41
30.4%

세목명
Categorical

HIGH CORRELATION 

Distinct13
Distinct (%)9.6%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
주민세
27 
취득세
27 
자동차세
21 
재산세
15 
지방소득세
12 
Other values (8)
33 

Length

Max length7
Median length3
Mean length3.6814815
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
주민세 27
20.0%
취득세 27
20.0%
자동차세 21
15.6%
재산세 15
11.1%
지방소득세 12
8.9%
레저세 8
 
5.9%
등록면허세 6
 
4.4%
지역자원시설세 6
 
4.4%
체납 3
 
2.2%
담배소비세 3
 
2.2%
Other values (3) 7
 
5.2%

Length

2023-12-12T15:16:32.452935image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
주민세 27
20.0%
취득세 27
20.0%
자동차세 21
15.6%
재산세 15
11.1%
지방소득세 12
8.9%
레저세 8
 
5.9%
등록면허세 6
 
4.4%
지역자원시설세 6
 
4.4%
체납 3
 
2.2%
담배소비세 3
 
2.2%
Other values (3) 7
 
5.2%

세원 유형명
Categorical

HIGH CORRELATION 

Distinct47
Distinct (%)34.8%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
주민세(양도소득)
 
3
지방소득세(특별징수)
 
3
3륜이하
 
3
주민세(법인균등)
 
3
주민세(개인사업)
 
3
Other values (42)
120 

Length

Max length11
Median length8
Mean length6.1703704
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row주민세(양도소득)
2nd row주민세(종합소득)
3rd row주민세(법인균등)
4th row주민세(개인사업)
5th row주민세(개인균등)

Common Values

ValueCountFrequency (%)
주민세(양도소득) 3
 
2.2%
지방소득세(특별징수) 3
 
2.2%
3륜이하 3
 
2.2%
주민세(법인균등) 3
 
2.2%
주민세(개인사업) 3
 
2.2%
주민세(개인균등) 3
 
2.2%
등록면허세(면허) 3
 
2.2%
등록면허세(등록) 3
 
2.2%
지역자원시설세(소방) 3
 
2.2%
지역자원시설세(특자) 3
 
2.2%
Other values (37) 105
77.8%

Length

2023-12-12T15:16:32.580037image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
주민세(양도소득 3
 
2.2%
자동차세(주행 3
 
2.2%
지방소득세(특별징수 3
 
2.2%
선박 3
 
2.2%
토지 3
 
2.2%
재산세(주택 3
 
2.2%
재산세(토지 3
 
2.2%
재산세(항공기 3
 
2.2%
재산세(선박 3
 
2.2%
주민세(법인세분 3
 
2.2%
Other values (37) 105
77.8%

부과건수
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct105
Distinct (%)77.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean58895.03
Minimum0
Maximum891473
Zeros29
Zeros (%)21.5%
Negative0
Negative (%)0.0%
Memory size1.3 KiB
2023-12-12T15:16:32.714282image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q124.5
median4958
Q338505
95-th percentile243006.2
Maximum891473
Range891473
Interquartile range (IQR)38480.5

Descriptive statistics

Standard deviation146407.57
Coefficient of variation (CV)2.485907
Kurtosis19.049548
Mean58895.03
Median Absolute Deviation (MAD)4958
Skewness4.1364581
Sum7950829
Variance2.1435176 × 1010
MonotonicityNot monotonic
2023-12-12T15:16:32.843817image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 29
 
21.5%
12 3
 
2.2%
90686 1
 
0.7%
2224 1
 
0.7%
213695 1
 
0.7%
124053 1
 
0.7%
54809 1
 
0.7%
170349 1
 
0.7%
16644 1
 
0.7%
9497 1
 
0.7%
Other values (95) 95
70.4%
ValueCountFrequency (%)
0 29
21.5%
2 1
 
0.7%
12 3
 
2.2%
17 1
 
0.7%
32 1
 
0.7%
34 1
 
0.7%
40 1
 
0.7%
45 1
 
0.7%
48 1
 
0.7%
62 1
 
0.7%
ValueCountFrequency (%)
891473 1
0.7%
869653 1
0.7%
814686 1
0.7%
439002 1
0.7%
428519 1
0.7%
419558 1
0.7%
247790 1
0.7%
240956 1
0.7%
239558 1
0.7%
230482 1
0.7%

부과금액
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct107
Distinct (%)79.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.6194888 × 1010
Minimum-1635000
Maximum9.7961547 × 1010
Zeros29
Zeros (%)21.5%
Negative1
Negative (%)0.7%
Memory size1.3 KiB
2023-12-12T15:16:32.998569image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-1635000
5-th percentile0
Q12658500
median2.274018 × 109
Q33.0844436 × 1010
95-th percentile6.6419319 × 1010
Maximum9.7961547 × 1010
Range9.7963182 × 1010
Interquartile range (IQR)3.0841778 × 1010

Descriptive statistics

Standard deviation2.2982797 × 1010
Coefficient of variation (CV)1.4191389
Kurtosis1.7679794
Mean1.6194888 × 1010
Median Absolute Deviation (MAD)2.274018 × 109
Skewness1.5651901
Sum2.1863099 × 1012
Variance5.2820894 × 1020
MonotonicityNot monotonic
2023-12-12T15:16:33.136065image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 29
 
21.5%
9483000 1
 
0.7%
39684758000 1
 
0.7%
4790890000 1
 
0.7%
14499747000 1
 
0.7%
17651645000 1
 
0.7%
952882000 1
 
0.7%
1719963000 1
 
0.7%
833639000 1
 
0.7%
566477000 1
 
0.7%
Other values (97) 97
71.9%
ValueCountFrequency (%)
-1635000 1
 
0.7%
0 29
21.5%
674000 1
 
0.7%
882000 1
 
0.7%
1032000 1
 
0.7%
1392000 1
 
0.7%
3925000 1
 
0.7%
6378000 1
 
0.7%
6847000 1
 
0.7%
9483000 1
 
0.7%
ValueCountFrequency (%)
97961547000 1
0.7%
88153443000 1
0.7%
78321919000 1
0.7%
78238697000 1
0.7%
77968161000 1
0.7%
77455277000 1
0.7%
71179477000 1
0.7%
64379252000 1
0.7%
63680195000 1
0.7%
60964562000 1
0.7%

Interactions

2023-12-12T15:16:31.198004image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T15:16:31.046057image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T15:16:31.264385image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T15:16:31.116166image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T15:16:33.216921image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
과세년도세목명세원 유형명부과건수부과금액
과세년도1.0000.0000.0000.0000.000
세목명0.0001.0001.0000.9010.691
세원 유형명0.0001.0001.0000.9980.914
부과건수0.0000.9010.9981.0000.860
부과금액0.0000.6910.9140.8601.000
2023-12-12T15:16:33.302006image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
세원 유형명과세년도세목명
세원 유형명1.0000.0000.849
과세년도0.0001.0000.000
세목명0.8490.0001.000
2023-12-12T15:16:33.380464image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
부과건수부과금액과세년도세목명세원 유형명
부과건수1.0000.7410.0000.7470.814
부과금액0.7411.0000.0000.3690.519
과세년도0.0000.0001.0000.0000.000
세목명0.7470.3690.0001.0000.849
세원 유형명0.8140.5190.0000.8491.000

Missing values

2023-12-12T15:16:31.383000image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T15:16:31.504354image/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
0경기도파주시414802019주민세주민세(양도소득)00
1경기도파주시414802019주민세주민세(종합소득)00
2경기도파주시414802019주민세주민세(법인균등)10834637794000
3경기도파주시414802019주민세주민세(개인사업)17845900376000
4경기도파주시414802019주민세주민세(개인균등)1669201684462000
5경기도파주시414802019등록면허세등록면허세(면허)582251029000000
6경기도파주시414802019등록면허세등록면허세(등록)11507815862722000
7경기도파주시414802019지역자원시설세지역자원시설세(소방)24095616304675000
8경기도파주시414802019지역자원시설세지역자원시설세(특자)22294523171000
9경기도파주시414802019지방소득세지방소득세(특별징수)10096034402374000
시도명시군구명자치단체코드과세년도세목명세원 유형명부과건수부과금액
125경기도파주시414802019자동차세3륜이하144219285000
126경기도파주시414802019자동차세특수67528606000
127경기도파주시414802019자동차세화물36832961683000
128경기도파주시414802019자동차세승합9981483021000
129경기도파주시414802019자동차세기타승용41126651000
130경기도파주시414802019자동차세승용24779037557408000
131경기도파주시414802019주민세주민세(재산분)62992995329000
132경기도파주시414802019주민세주민세(종업원분)489614142383000
133경기도파주시414802019주민세주민세(특별징수)00
134경기도파주시414802019주민세주민세(법인세분)00