Overview

Dataset statistics

Number of variables8
Number of observations275
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory18.4 KiB
Average record size in memory68.5 B

Variable types

Categorical5
Numeric3

Dataset

Description○ 지방세 과세를 위해 세원이 되는 과세대상 유형별 부과된 현황을 제공(세목명, 세원유형명, 부과건수, 부과금액)- 물건 유형에 따른 세부담 수준의 형평성 검토 및 부동산 등 관련분야 규제정책 대상 확인 시 기초자료 활용
Author세종특별자치시
URLhttps://www.data.go.kr/data/15080317/fileData.do

Alerts

시도명 has constant value ""Constant
자치단체코드 has constant value ""Constant
데이터기준일 has constant value ""Constant
세목명 is highly overall correlated with 세원 유형명High correlation
세원 유형명 is highly overall correlated with 세목명High correlation
부과건수 is highly overall correlated with 부과금액 High correlation
부과금액 is highly overall correlated with 부과건수 High correlation
부과건수 has 59 (21.5%) zerosZeros
부과금액 has 59 (21.5%) zerosZeros

Reproduction

Analysis started2023-12-12 18:29:00.100768
Analysis finished2023-12-12 18:29:01.678900
Duration1.58 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
세종특별자치시
275 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
세종특별자치시 275
100.0%

Length

2023-12-13T03:29:01.772146image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T03:29:01.925548image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
세종특별자치시 275
100.0%

자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size2.3 KiB
36110
275 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row36110
2nd row36110
3rd row36110
4th row36110
5th row36110

Common Values

ValueCountFrequency (%)
36110 275
100.0%

Length

2023-12-13T03:29:02.053410image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T03:29:02.165932image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
36110 275
100.0%

과세년도
Real number (ℝ)

Distinct6
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2019.5127
Minimum2017
Maximum2022
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.5 KiB
2023-12-13T03:29:02.264306image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2017
5-th percentile2017
Q12018
median2020
Q32021
95-th percentile2022
Maximum2022
Range5
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.7116022
Coefficient of variation (CV)0.00084753225
Kurtosis-1.2575149
Mean2019.5127
Median Absolute Deviation (MAD)1
Skewness-0.024029498
Sum555366
Variance2.929582
MonotonicityDecreasing
2023-12-13T03:29:02.407459image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
2020 47
17.1%
2019 47
17.1%
2017 47
17.1%
2022 46
16.7%
2021 46
16.7%
2018 42
15.3%
ValueCountFrequency (%)
2017 47
17.1%
2018 42
15.3%
2019 47
17.1%
2020 47
17.1%
2021 46
16.7%
2022 46
16.7%
ValueCountFrequency (%)
2022 46
16.7%
2021 46
16.7%
2020 47
17.1%
2019 47
17.1%
2018 42
15.3%
2017 47
17.1%

세목명
Categorical

HIGH CORRELATION 

Distinct13
Distinct (%)4.7%
Missing0
Missing (%)0.0%
Memory size2.3 KiB
취득세
54 
주민세
50 
자동차세
42 
재산세
30 
지방소득세
24 
Other values (8)
75 

Length

Max length7
Median length3
Mean length3.72
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row등록면허세
2nd row등록면허세
3rd row지역자원시설세
4th row지역자원시설세
5th row지역자원시설세

Common Values

ValueCountFrequency (%)
취득세 54
19.6%
주민세 50
18.2%
자동차세 42
15.3%
재산세 30
10.9%
지방소득세 24
8.7%
레저세 20
 
7.3%
지역자원시설세 14
 
5.1%
등록면허세 12
 
4.4%
담배소비세 6
 
2.2%
교육세 6
 
2.2%
Other values (3) 17
 
6.2%

Length

2023-12-13T03:29:02.569158image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
취득세 54
19.6%
주민세 50
18.2%
자동차세 42
15.3%
재산세 30
10.9%
지방소득세 24
8.7%
레저세 20
 
7.3%
지역자원시설세 14
 
5.1%
등록면허세 12
 
4.4%
담배소비세 6
 
2.2%
교육세 6
 
2.2%
Other values (3) 17
 
6.2%

세원 유형명
Categorical

HIGH CORRELATION 

Distinct50
Distinct (%)18.2%
Missing0
Missing (%)0.0%
Memory size2.3 KiB
등록면허세(면허)
 
6
지방소득세(양도소득)
 
6
지역자원시설세(소방)
 
6
체납
 
6
지역자원시설세(특자)
 
6
Other values (45)
245 

Length

Max length11
Median length8
Mean length6.0945455
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row등록면허세(면허)
2nd row등록면허세(등록)
3rd row지역자원시설세(소방)
4th row지역자원시설세(시설)
5th row지역자원시설세(특자)

Common Values

ValueCountFrequency (%)
등록면허세(면허) 6
 
2.2%
지방소득세(양도소득) 6
 
2.2%
지역자원시설세(소방) 6
 
2.2%
체납 6
 
2.2%
지역자원시설세(특자) 6
 
2.2%
재산세(항공기) 6
 
2.2%
교육세 6
 
2.2%
지방소득세(특별징수) 6
 
2.2%
지방소득세(법인소득) 6
 
2.2%
지방소득세(종합소득) 6
 
2.2%
Other values (40) 215
78.2%

Length

2023-12-13T03:29:02.735409image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
등록면허세(면허 6
 
2.2%
주민세(법인세분 6
 
2.2%
토지 6
 
2.2%
주민세(양도소득 6
 
2.2%
선박 6
 
2.2%
지방소득세(양도소득 6
 
2.2%
등록면허세(등록 6
 
2.2%
재산세(주택 6
 
2.2%
재산세(토지 6
 
2.2%
주민세(종업원분 6
 
2.2%
Other values (40) 215
78.2%

부과건수
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct205
Distinct (%)74.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean44854.273
Minimum0
Maximum875681
Zeros59
Zeros (%)21.5%
Negative0
Negative (%)0.0%
Memory size2.5 KiB
2023-12-13T03:29:02.919834image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q112
median2095
Q327844.5
95-th percentile196360.7
Maximum875681
Range875681
Interquartile range (IQR)27832.5

Descriptive statistics

Standard deviation120802.76
Coefficient of variation (CV)2.6932276
Kurtosis26.77832
Mean44854.273
Median Absolute Deviation (MAD)2095
Skewness4.86438
Sum12334925
Variance1.4593308 × 1010
MonotonicityNot monotonic
2023-12-13T03:29:03.139401image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 59
 
21.5%
12 6
 
2.2%
11 3
 
1.1%
8 2
 
0.7%
10 2
 
0.7%
16 2
 
0.7%
86 2
 
0.7%
6690 2
 
0.7%
78115 1
 
0.4%
208890 1
 
0.4%
Other values (195) 195
70.9%
ValueCountFrequency (%)
0 59
21.5%
6 1
 
0.4%
8 2
 
0.7%
9 1
 
0.4%
10 2
 
0.7%
11 3
 
1.1%
12 6
 
2.2%
14 1
 
0.4%
16 2
 
0.7%
18 1
 
0.4%
ValueCountFrequency (%)
875681 1
0.4%
848287 1
0.4%
799860 1
0.4%
725668 1
0.4%
673490 1
0.4%
602815 1
0.4%
279505 1
0.4%
250818 1
0.4%
248687 1
0.4%
242765 1
0.4%

부과금액
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct215
Distinct (%)78.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.7298 × 1010
Minimum0
Maximum2.33 × 1011
Zeros59
Zeros (%)21.5%
Negative0
Negative (%)0.0%
Memory size2.5 KiB
2023-12-13T03:29:03.323301image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q14614500
median9.83535 × 108
Q32.27039 × 1010
95-th percentile7.6116073 × 1010
Maximum2.33 × 1011
Range2.33 × 1011
Interquartile range (IQR)2.2699286 × 1010

Descriptive statistics

Standard deviation3.1241944 × 1010
Coefficient of variation (CV)1.8061015
Kurtosis12.861856
Mean1.7298 × 1010
Median Absolute Deviation (MAD)9.83535 × 108
Skewness3.1300195
Sum4.75695 × 1012
Variance9.7605904 × 1020
MonotonicityNot monotonic
2023-12-13T03:29:03.513939image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 59
 
21.5%
116000000000 3
 
1.1%
973903000 1
 
0.4%
50820553000 1
 
0.4%
22223725000 1
 
0.4%
761233000 1
 
0.4%
12217147000 1
 
0.4%
11117721000 1
 
0.4%
733937000 1
 
0.4%
15661992000 1
 
0.4%
Other values (205) 205
74.5%
ValueCountFrequency (%)
0 59
21.5%
112000 1
 
0.4%
212000 1
 
0.4%
417000 1
 
0.4%
805000 1
 
0.4%
986000 1
 
0.4%
1009000 1
 
0.4%
2026000 1
 
0.4%
2071000 1
 
0.4%
3460000 1
 
0.4%
ValueCountFrequency (%)
233000000000 1
 
0.4%
174000000000 1
 
0.4%
162000000000 1
 
0.4%
119000000000 1
 
0.4%
118000000000 1
 
0.4%
116000000000 3
1.1%
115000000000 1
 
0.4%
109000000000 1
 
0.4%
95907571000 1
 
0.4%
94569260000 1
 
0.4%

데이터기준일
Categorical

CONSTANT 

Distinct1
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size2.3 KiB
2022-12-31
275 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2022-12-31
2nd row2022-12-31
3rd row2022-12-31
4th row2022-12-31
5th row2022-12-31

Common Values

ValueCountFrequency (%)
2022-12-31 275
100.0%

Length

2023-12-13T03:29:03.692919image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T03:29:03.833647image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2022-12-31 275
100.0%

Interactions

2023-12-13T03:29:01.066996image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T03:29:00.391293image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T03:29:00.744830image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T03:29:01.178033image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T03:29:00.515447image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T03:29:00.845612image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T03:29:01.300431image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T03:29:00.624119image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T03:29:00.947736image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T03:29:03.923319image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
과세년도세목명세원 유형명부과건수부과금액
과세년도1.0000.0000.0000.0000.000
세목명0.0001.0001.0000.7120.679
세원 유형명0.0001.0001.0000.8270.842
부과건수0.0000.7120.8271.0000.435
부과금액0.0000.6790.8420.4351.000
2023-12-13T03:29:04.045485image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
세목명세원 유형명
세목명1.0000.927
세원 유형명0.9271.000
2023-12-13T03:29:04.155395image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
과세년도부과건수부과금액세목명세원 유형명
과세년도1.0000.0080.0350.0000.000
부과건수0.0081.0000.7150.4190.450
부과금액0.0350.7151.0000.3700.455
세목명0.0000.4190.3701.0000.927
세원 유형명0.0000.4500.4550.9271.000

Missing values

2023-12-13T03:29:01.455845image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T03:29:01.619720image/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

시도명자치단체코드과세년도세목명세원 유형명부과건수부과금액데이터기준일
0세종특별자치시361102022등록면허세등록면허세(면허)565789739030002022-12-31
1세종특별자치시361102022등록면허세등록면허세(등록)80478130485140002022-12-31
2세종특별자치시361102022지역자원시설세지역자원시설세(소방)279505138276390002022-12-31
3세종특별자치시361102022지역자원시설세지역자원시설세(시설)119139250002022-12-31
4세종특별자치시361102022지역자원시설세지역자원시설세(특자)88720620002022-12-31
5세종특별자치시361102022담배소비세담배소비세639175585010002022-12-31
6세종특별자치시361102022교육세교육세875681534953510002022-12-31
7세종특별자치시361102022지방소득세지방소득세(특별징수)72410395720330002022-12-31
8세종특별자치시361102022지방소득세지방소득세(법인소득)5486453598450002022-12-31
9세종특별자치시361102022지방소득세지방소득세(양도소득)7388217834040002022-12-31
시도명자치단체코드과세년도세목명세원 유형명부과건수부과금액데이터기준일
265세종특별자치시361102017주민세주민세(재산분)15599782180002022-12-31
266세종특별자치시361102017주민세주민세(종업원분)191355164640002022-12-31
267세종특별자치시361102017주민세주민세(특별징수)002022-12-31
268세종특별자치시361102017주민세주민세(법인세분)002022-12-31
269세종특별자치시361102017주민세주민세(양도소득)002022-12-31
270세종특별자치시361102017주민세주민세(종합소득)002022-12-31
271세종특별자치시361102017주민세주민세(법인균등)43672992110002022-12-31
272세종특별자치시361102017주민세주민세(개인사업)53482660610002022-12-31
273세종특별자치시361102017주민세주민세(개인균등)992557002070002022-12-31
274세종특별자치시361102017체납체납158110204029020002022-12-31