Overview

Dataset statistics

Number of variables8
Number of observations280
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory18.7 KiB
Average record size in memory68.5 B

Variable types

Categorical5
Numeric3

Dataset

Description본 데이터는 경상남도 합천군의 년도별 지방세 세원유형별 과세현황으로, 세목별, 세원 유형별, 부과건수 및 부과금액(지방세) 등의 정보를 제공하고 있습니다.
Author경상남도 합천군
URLhttps://bigdata.gyeongnam.go.kr/index.gn?menuCd=DOM_000000114002001000&publicdatapk=15089283

Alerts

시도명 has constant value ""Constant
시군구명 has constant value ""Constant
자치단체코드 has constant value ""Constant
세원 유형명 is highly overall correlated with 부과건수 and 2 other fieldsHigh correlation
세목명 is highly overall correlated with 부과건수 and 1 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 58 (20.7%) zerosZeros
부과금액 has 58 (20.7%) zerosZeros

Reproduction

Analysis started2023-12-11 00:44:25.273286
Analysis finished2023-12-11 00:44:26.728594
Duration1.46 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시도명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size2.3 KiB
경상남도
280 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
경상남도 280
100.0%

Length

2023-12-11T09:44:26.801767image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T09:44:26.916032image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
경상남도 280
100.0%

시군구명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size2.3 KiB
합천군
280 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
합천군 280
100.0%

Length

2023-12-11T09:44:27.012817image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T09:44:27.119977image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
합천군 280
100.0%

자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size2.3 KiB
48890
280 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row48890
2nd row48890
3rd row48890
4th row48890
5th row48890

Common Values

ValueCountFrequency (%)
48890 280
100.0%

Length

2023-12-11T09:44:27.241269image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T09:44:27.360099image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
48890 280
100.0%

과세년도
Real number (ℝ)

Distinct6
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2019.4857
Minimum2017
Maximum2022
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.6 KiB
2023-12-11T09:44:27.475340image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2017
5-th percentile2017
Q12018
median2019
Q32021
95-th percentile2022
Maximum2022
Range5
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.7080275
Coefficient of variation (CV)0.0008457735
Kurtosis-1.2643122
Mean2019.4857
Median Absolute Deviation (MAD)1
Skewness0.011507648
Sum565456
Variance2.9173579
MonotonicityIncreasing
2023-12-11T09:44:27.593681image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
2017 47
16.8%
2018 47
16.8%
2019 47
16.8%
2020 47
16.8%
2021 46
16.4%
2022 46
16.4%
ValueCountFrequency (%)
2017 47
16.8%
2018 47
16.8%
2019 47
16.8%
2020 47
16.8%
2021 46
16.4%
2022 46
16.4%
ValueCountFrequency (%)
2022 46
16.4%
2021 46
16.4%
2020 47
16.8%
2019 47
16.8%
2018 47
16.8%
2017 47
16.8%

세목명
Categorical

HIGH CORRELATION 

Distinct13
Distinct (%)4.6%
Missing0
Missing (%)0.0%
Memory size2.3 KiB
취득세
54 
주민세
50 
자동차세
42 
재산세
30 
지방소득세
24 
Other values (8)
80 

Length

Max length7
Median length3
Mean length3.7142857
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row지방소득세
2nd row지방소득세
3rd row지방소득세
4th row지방소득세
5th row담배소비세

Common Values

ValueCountFrequency (%)
취득세 54
19.3%
주민세 50
17.9%
자동차세 42
15.0%
재산세 30
10.7%
지방소득세 24
8.6%
레저세 24
8.6%
지역자원시설세 14
 
5.0%
등록면허세 12
 
4.3%
담배소비세 6
 
2.1%
교육세 6
 
2.1%
Other values (3) 18
 
6.4%

Length

2023-12-11T09:44:27.753851image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
취득세 54
19.3%
주민세 50
17.9%
자동차세 42
15.0%
재산세 30
10.7%
지방소득세 24
8.6%
레저세 24
8.6%
지역자원시설세 14
 
5.0%
등록면허세 12
 
4.3%
담배소비세 6
 
2.1%
교육세 6
 
2.1%
Other values (3) 18
 
6.4%

세원 유형명
Categorical

HIGH CORRELATION 

Distinct50
Distinct (%)17.9%
Missing0
Missing (%)0.0%
Memory size2.3 KiB
지방소득세(특별징수)
 
6
자동차세(주행)
 
6
항공기
 
6
재산세(항공기)
 
6
지방소득세(종합소득)
 
6
Other values (45)
250 

Length

Max length11
Median length8
Mean length6.0357143
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row지방소득세(특별징수)
2nd row지방소득세(법인소득)
3rd row지방소득세(양도소득)
4th row지방소득세(종합소득)
5th row담배소비세

Common Values

ValueCountFrequency (%)
지방소득세(특별징수) 6
 
2.1%
자동차세(주행) 6
 
2.1%
항공기 6
 
2.1%
재산세(항공기) 6
 
2.1%
지방소득세(종합소득) 6
 
2.1%
담배소비세 6
 
2.1%
교육세 6
 
2.1%
도시계획세 6
 
2.1%
건축물 6
 
2.1%
주택(개별) 6
 
2.1%
Other values (40) 220
78.6%

Length

2023-12-11T09:44:27.915385image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
지방소득세(특별징수 6
 
2.1%
지방소득세(양도소득 6
 
2.1%
주민세(종업원분 6
 
2.1%
자동차세(주행 6
 
2.1%
지방소득세(법인소득 6
 
2.1%
3륜이하 6
 
2.1%
특수 6
 
2.1%
화물 6
 
2.1%
승합 6
 
2.1%
체납 6
 
2.1%
Other values (40) 220
78.6%

부과건수
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct203
Distinct (%)72.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8107.5214
Minimum0
Maximum146840
Zeros58
Zeros (%)20.7%
Negative0
Negative (%)0.0%
Memory size2.6 KiB
2023-12-11T09:44:28.046516image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q19.75
median270.5
Q35886
95-th percentile24298.65
Maximum146840
Range146840
Interquartile range (IQR)5876.25

Descriptive statistics

Standard deviation23223.794
Coefficient of variation (CV)2.8644752
Kurtosis22.313886
Mean8107.5214
Median Absolute Deviation (MAD)270.5
Skewness4.6098246
Sum2270106
Variance5.3934459 × 108
MonotonicityNot monotonic
2023-12-11T09:44:28.215998image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 58
 
20.7%
12 6
 
2.1%
10 5
 
1.8%
9 3
 
1.1%
16 2
 
0.7%
13 2
 
0.7%
131 2
 
0.7%
138 2
 
0.7%
6 2
 
0.7%
1 2
 
0.7%
Other values (193) 196
70.0%
ValueCountFrequency (%)
0 58
20.7%
1 2
 
0.7%
2 1
 
0.4%
4 2
 
0.7%
6 2
 
0.7%
7 1
 
0.4%
8 1
 
0.4%
9 3
 
1.1%
10 5
 
1.8%
11 1
 
0.4%
ValueCountFrequency (%)
146840 1
0.4%
145526 1
0.4%
141902 1
0.4%
139058 1
0.4%
137339 1
0.4%
135013 1
0.4%
80069 1
0.4%
78829 1
0.4%
76938 1
0.4%
75878 1
0.4%

부과금액
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct223
Distinct (%)79.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.9215085 × 108
Minimum0
Maximum1.35987 × 1010
Zeros58
Zeros (%)20.7%
Negative0
Negative (%)0.0%
Memory size2.6 KiB
2023-12-11T09:44:28.392974image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q1892250
median2.022825 × 108
Q31.1351845 × 109
95-th percentile3.4469236 × 109
Maximum1.35987 × 1010
Range1.35987 × 1010
Interquartile range (IQR)1.1342922 × 109

Descriptive statistics

Standard deviation1.5774809 × 109
Coefficient of variation (CV)1.7681774
Kurtosis20.604198
Mean8.9215085 × 108
Median Absolute Deviation (MAD)2.022825 × 108
Skewness3.6881569
Sum2.4980224 × 1011
Variance2.4884461 × 1018
MonotonicityNot monotonic
2023-12-11T09:44:28.862477image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 58
 
20.7%
1496751000 1
 
0.4%
2782229000 1
 
0.4%
222401000 1
 
0.4%
167159000 1
 
0.4%
851340000 1
 
0.4%
458167000 1
 
0.4%
221048000 1
 
0.4%
9641700000 1
 
0.4%
1232347000 1
 
0.4%
Other values (213) 213
76.1%
ValueCountFrequency (%)
0 58
20.7%
198000 1
 
0.4%
347000 1
 
0.4%
404000 1
 
0.4%
530000 1
 
0.4%
553000 1
 
0.4%
616000 1
 
0.4%
625000 1
 
0.4%
779000 1
 
0.4%
811000 1
 
0.4%
ValueCountFrequency (%)
13598700000 1
0.4%
9641700000 1
0.4%
9574777000 1
0.4%
5292319000 1
0.4%
5142599000 1
0.4%
4837949000 1
0.4%
4405005000 1
0.4%
4401072000 1
0.4%
4245493000 1
0.4%
4196324000 1
0.4%

Interactions

2023-12-11T09:44:26.185127image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T09:44:25.524336image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T09:44:25.849139image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T09:44:26.285883image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T09:44:25.627312image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T09:44:25.961901image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T09:44:26.397058image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T09:44:25.739636image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T09:44:26.068509image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T09:44:28.966970image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
과세년도세목명세원 유형명부과건수부과금액
과세년도1.0000.0000.0000.0000.000
세목명0.0001.0001.0000.7920.707
세원 유형명0.0001.0001.0000.9790.913
부과건수0.0000.7920.9791.0000.430
부과금액0.0000.7070.9130.4301.000
2023-12-11T09:44:29.057391image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
세원 유형명세목명
세원 유형명1.0000.928
세목명0.9281.000
2023-12-11T09:44:29.144800image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
과세년도부과건수부과금액세목명세원 유형명
과세년도1.0000.0170.0420.0000.000
부과건수0.0171.0000.7530.5790.763
부과금액0.0420.7531.0000.4420.623
세목명0.0000.5790.4421.0000.928
세원 유형명0.0000.7630.6230.9281.000

Missing values

2023-12-11T09:44:26.530296image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T09:44:26.670850image/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
0경상남도합천군488902017지방소득세지방소득세(특별징수)39701496751000
1경상남도합천군488902017지방소득세지방소득세(법인소득)6361408062000
2경상남도합천군488902017지방소득세지방소득세(양도소득)882603986000
3경상남도합천군488902017지방소득세지방소득세(종합소득)2175569873000
4경상남도합천군488902017담배소비세담배소비세1072710312000
5경상남도합천군488902017교육세교육세1350133442916000
6경상남도합천군488902017도시계획세도시계획세00
7경상남도합천군488902017취득세건축물7571308760000
8경상남도합천군488902017취득세주택(개별)1282974384000
9경상남도합천군488902017취득세주택(단독)3271361662000
시도명시군구명자치단체코드과세년도세목명세원 유형명부과건수부과금액
270경상남도합천군488902022주민세주민세(법인세분)00
271경상남도합천군488902022주민세주민세(양도소득)00
272경상남도합천군488902022주민세주민세(종합소득)00
273경상남도합천군488902022등록면허세등록면허세(면허)9531161560000
274경상남도합천군488902022등록면허세등록면허세(등록)9734672170000
275경상남도합천군488902022지역자원시설세지역자원시설세(소방)11986499670000
276경상남도합천군488902022지역자원시설세지역자원시설세(시설)00
277경상남도합천군488902022지역자원시설세지역자원시설세(특자)133159598000
278경상남도합천군488902022지방소비세지방소비세913598700000
279경상남도합천군488902022체납체납196391135114000