Overview

Dataset statistics

Number of variables10
Number of observations234
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory19.6 KiB
Average record size in memory85.6 B

Variable types

Numeric3
Categorical7

Dataset

Description평창군 지방세 세원유형별 과세현황에 대한 데이터로, 과세년도,세목명, 세원 유형명, 부과건수, 부과금액을 제공합니다.(2017~2021)
Author강원도 평창군
URLhttps://www.data.go.kr/data/15080517/fileData.do

Alerts

시도명 has constant value ""Constant
시군구명 has constant value ""Constant
자치단체코드 has constant value ""Constant
데이터기준일자 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
순번 is highly overall correlated with 과세년도High 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
과세년도 is highly overall correlated with 순번High correlation
순번 has unique valuesUnique
부과건수 has 65 (27.8%) zerosZeros
부과금액 has 65 (27.8%) zerosZeros

Reproduction

Analysis started2023-12-12 21:59:39.537990
Analysis finished2023-12-12 21:59:40.878738
Duration1.34 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

순번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct234
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean117.5
Minimum1
Maximum234
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.2 KiB
2023-12-13T06:59:40.946952image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile12.65
Q159.25
median117.5
Q3175.75
95-th percentile222.35
Maximum234
Range233
Interquartile range (IQR)116.5

Descriptive statistics

Standard deviation67.694165
Coefficient of variation (CV)0.57612055
Kurtosis-1.2
Mean117.5
Median Absolute Deviation (MAD)58.5
Skewness0
Sum27495
Variance4582.5
MonotonicityStrictly increasing
2023-12-13T06:59:41.057081image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.4%
162 1
 
0.4%
150 1
 
0.4%
151 1
 
0.4%
152 1
 
0.4%
153 1
 
0.4%
154 1
 
0.4%
155 1
 
0.4%
156 1
 
0.4%
157 1
 
0.4%
Other values (224) 224
95.7%
ValueCountFrequency (%)
1 1
0.4%
2 1
0.4%
3 1
0.4%
4 1
0.4%
5 1
0.4%
6 1
0.4%
7 1
0.4%
8 1
0.4%
9 1
0.4%
10 1
0.4%
ValueCountFrequency (%)
234 1
0.4%
233 1
0.4%
232 1
0.4%
231 1
0.4%
230 1
0.4%
229 1
0.4%
228 1
0.4%
227 1
0.4%
226 1
0.4%
225 1
0.4%

시도명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
강원도
234 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
강원도 234
100.0%

Length

2023-12-13T06:59:41.164751image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T06:59:41.236543image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
강원도 234
100.0%

시군구명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
평창군
234 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
평창군 234
100.0%

Length

2023-12-13T06:59:41.323305image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T06:59:41.402130image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
평창군 234
100.0%

자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
42760
234 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row42760
2nd row42760
3rd row42760
4th row42760
5th row42760

Common Values

ValueCountFrequency (%)
42760 234
100.0%

Length

2023-12-13T06:59:41.506592image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T06:59:41.627977image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
42760 234
100.0%

과세년도
Categorical

HIGH CORRELATION 

Distinct5
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
2017
47 
2018
47 
2019
47 
2020
47 
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
20.1%
2018 47
20.1%
2019 47
20.1%
2020 47
20.1%
2021 46
19.7%

Length

2023-12-13T06:59:41.733301image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T06:59:41.837533image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2017 47
20.1%
2018 47
20.1%
2019 47
20.1%
2020 47
20.1%
2021 46
19.7%

세목명
Categorical

HIGH CORRELATION 

Distinct13
Distinct (%)5.6%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
취득세
45 
주민세
43 
자동차세
35 
재산세
25 
레저세
20 
Other values (8)
66 

Length

Max length7
Median length3
Mean length3.7008547
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
취득세 45
19.2%
주민세 43
18.4%
자동차세 35
15.0%
재산세 25
10.7%
레저세 20
8.5%
지방소득세 20
8.5%
지역자원시설세 11
 
4.7%
등록면허세 10
 
4.3%
담배소비세 5
 
2.1%
교육세 5
 
2.1%
Other values (3) 15
 
6.4%

Length

2023-12-13T06:59:41.978676image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
취득세 45
19.2%
주민세 43
18.4%
자동차세 35
15.0%
재산세 25
10.7%
레저세 20
8.5%
지방소득세 20
8.5%
지역자원시설세 11
 
4.7%
등록면허세 10
 
4.3%
담배소비세 5
 
2.1%
교육세 5
 
2.1%
Other values (3) 15
 
6.4%

세원 유형명
Categorical

HIGH CORRELATION 

Distinct50
Distinct (%)21.4%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
담배소비세
 
5
주민세(특별징수)
 
5
주택(단독)
 
5
승용
 
5
기계장비
 
5
Other values (45)
209 

Length

Max length11
Median length8
Mean length6.0384615
Min length2

Unique

Unique3 ?
Unique (%)1.3%

Sample

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

Common Values

ValueCountFrequency (%)
담배소비세 5
 
2.1%
주민세(특별징수) 5
 
2.1%
주택(단독) 5
 
2.1%
승용 5
 
2.1%
기계장비 5
 
2.1%
차량 5
 
2.1%
선박 5
 
2.1%
토지 5
 
2.1%
기타승용 5
 
2.1%
경정 5
 
2.1%
Other values (40) 184
78.6%

Length

2023-12-13T06:59:42.113065image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
담배소비세 5
 
2.1%
항공기 5
 
2.1%
지역자원시설세(특자 5
 
2.1%
주민세(특별징수 5
 
2.1%
주민세(법인세분 5
 
2.1%
주민세(양도소득 5
 
2.1%
주민세(종합소득 5
 
2.1%
지방소비세 5
 
2.1%
등록면허세(면허 5
 
2.1%
체납 5
 
2.1%
Other values (40) 184
78.6%

부과건수
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct162
Distinct (%)69.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10650.902
Minimum0
Maximum170930
Zeros65
Zeros (%)27.8%
Negative0
Negative (%)0.0%
Memory size2.2 KiB
2023-12-13T06:59:42.255749image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median693.5
Q38494
95-th percentile67313.1
Maximum170930
Range170930
Interquartile range (IQR)8494

Descriptive statistics

Standard deviation27631.621
Coefficient of variation (CV)2.5942987
Kurtosis20.17522
Mean10650.902
Median Absolute Deviation (MAD)693.5
Skewness4.2880821
Sum2492311
Variance7.6350646 × 108
MonotonicityNot monotonic
2023-12-13T06:59:42.488885image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 65
27.8%
12 5
 
2.1%
1033 2
 
0.9%
237 2
 
0.9%
1 2
 
0.9%
174 2
 
0.9%
56 1
 
0.4%
9609 1
 
0.4%
218 1
 
0.4%
4374 1
 
0.4%
Other values (152) 152
65.0%
ValueCountFrequency (%)
0 65
27.8%
1 2
 
0.9%
2 1
 
0.4%
6 1
 
0.4%
7 1
 
0.4%
10 1
 
0.4%
12 5
 
2.1%
20 1
 
0.4%
45 1
 
0.4%
51 1
 
0.4%
ValueCountFrequency (%)
170930 1
0.4%
168942 1
0.4%
165491 1
0.4%
163818 1
0.4%
162274 1
0.4%
75748 1
0.4%
74029 1
0.4%
73925 1
0.4%
71783 1
0.4%
71100 1
0.4%

부과금액
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct170
Distinct (%)72.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.828972 × 109
Minimum0
Maximum1.5234975 × 1010
Zeros65
Zeros (%)27.8%
Negative0
Negative (%)0.0%
Memory size2.2 KiB
2023-12-13T06:59:42.781104image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2.63815 × 108
Q32.1248642 × 109
95-th percentile9.6526285 × 109
Maximum1.5234975 × 1010
Range1.5234975 × 1010
Interquartile range (IQR)2.1248642 × 109

Descriptive statistics

Standard deviation3.0781907 × 109
Coefficient of variation (CV)1.6830168
Kurtosis5.7947987
Mean1.828972 × 109
Median Absolute Deviation (MAD)2.63815 × 108
Skewness2.4274745
Sum4.2797945 × 1011
Variance9.475258 × 1018
MonotonicityNot monotonic
2023-12-13T06:59:43.045454image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 65
27.8%
4869225000 1
 
0.4%
9385000 1
 
0.4%
4367564000 1
 
0.4%
2341000 1
 
0.4%
13892926000 1
 
0.4%
1768558000 1
 
0.4%
2166000 1
 
0.4%
4428000 1
 
0.4%
266062000 1
 
0.4%
Other values (160) 160
68.4%
ValueCountFrequency (%)
0 65
27.8%
303000 1
 
0.4%
949000 1
 
0.4%
1027000 1
 
0.4%
1212000 1
 
0.4%
1598000 1
 
0.4%
1733000 1
 
0.4%
1917000 1
 
0.4%
2166000 1
 
0.4%
2341000 1
 
0.4%
ValueCountFrequency (%)
15234975000 1
0.4%
14092394000 1
0.4%
13892926000 1
0.4%
13826734000 1
0.4%
13218204000 1
0.4%
12363607000 1
0.4%
11385800000 1
0.4%
11242976000 1
0.4%
10799282000 1
0.4%
10336345000 1
0.4%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
2022-09-21
234 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2022-09-21
2nd row2022-09-21
3rd row2022-09-21
4th row2022-09-21
5th row2022-09-21

Common Values

ValueCountFrequency (%)
2022-09-21 234
100.0%

Length

2023-12-13T06:59:43.282489image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T06:59:43.437372image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2022-09-21 234
100.0%

Interactions

2023-12-13T06:59:40.383533image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:59:39.893830image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:59:40.118520image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:59:40.464417image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:59:39.962026image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:59:40.206190image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:59:40.551136image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:59:40.037972image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:59:40.293602image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T06:59:43.534503image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번과세년도세목명세원 유형명부과건수부과금액
순번1.0001.0000.5200.0000.0000.000
과세년도1.0001.0000.0000.0000.0000.000
세목명0.5200.0001.0001.0000.8470.746
세원 유형명0.0000.0001.0001.0000.9850.927
부과건수0.0000.0000.8470.9851.0000.905
부과금액0.0000.0000.7460.9270.9051.000
2023-12-13T06:59:43.693057image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
세원 유형명과세년도세목명
세원 유형명1.0000.0000.912
과세년도0.0001.0000.000
세목명0.9120.0001.000
2023-12-13T06:59:43.832765image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번부과건수부과금액과세년도세목명세원 유형명
순번1.0000.0610.0320.9780.2430.000
부과건수0.0611.0000.8010.0000.6590.769
부과금액0.0320.8011.0000.0000.4260.552
과세년도0.9780.0000.0001.0000.0000.000
세목명0.2430.6590.4260.0001.0000.912
세원 유형명0.0000.7690.5520.0000.9121.000

Missing values

2023-12-13T06:59:40.679060image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T06:59:40.817482image/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

순번시도명시군구명자치단체코드과세년도세목명세원 유형명부과건수부과금액데이터기준일자
01강원도평창군427602017담배소비세담배소비세5648692250002022-09-21
12강원도평창군427602017교육세교육세16227484827390002022-09-21
23강원도평창군427602017도시계획세도시계획세002022-09-21
34강원도평창군427602017취득세건축물3579123636070002022-09-21
45강원도평창군427602017취득세주택(개별)116020888370002022-09-21
56강원도평창군427602017취득세주택(단독)107718418000002022-09-21
67강원도평창군427602017취득세기타68814913940002022-09-21
78강원도평창군427602017취득세항공기002022-09-21
89강원도평창군427602017취득세기계장비1752268420002022-09-21
910강원도평창군427602017취득세차량406736309360002022-09-21
순번시도명시군구명자치단체코드과세년도세목명세원 유형명부과건수부과금액데이터기준일자
224225강원도평창군427602021지방소득세지방소득세(특별징수)932023357360002022-09-21
225226강원도평창군427602021지방소득세지방소득세(법인소득)100821158110002022-09-21
226227강원도평창군427602021지방소득세지방소득세(양도소득)117920529830002022-09-21
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