Overview

Dataset statistics

Number of variables10
Number of observations32
Missing cells3
Missing cells (%)0.9%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.8 KiB
Average record size in memory90.1 B

Variable types

Categorical6
Numeric4

Dataset

Description강원도 춘천시의 비과세액과 감면액이 차지하는 비율 현황으로 시도명, 시군구명, 자치단체코드, 세목명, 과세년도, 비과세금액, 감면금액, 부과금액, 비과세감면율, 데이터기준일에 대한 자료.
Author강원도 춘천시
URLhttps://www.data.go.kr/data/15079775/fileData.do

Alerts

시도명 has constant value ""Constant
시군구명 has constant value ""Constant
자치단체코드 has constant value ""Constant
데이터기준일 has constant value ""Constant
비과세금액 is highly overall correlated with 감면금액 and 2 other fieldsHigh correlation
감면금액 is highly overall correlated with 비과세금액 and 3 other fieldsHigh correlation
부과금액 is highly overall correlated with 감면금액 and 1 other fieldsHigh correlation
비과세감면율 is highly overall correlated with 비과세금액 and 2 other fieldsHigh correlation
세목명 is highly overall correlated with 비과세금액 and 3 other fieldsHigh correlation
비과세금액 has 3 (9.4%) missing valuesMissing
비과세금액 has 5 (15.6%) zerosZeros
부과금액 has 3 (9.4%) zerosZeros
비과세감면율 has 6 (18.8%) zerosZeros

Reproduction

Analysis started2023-12-12 01:08:54.340410
Analysis finished2023-12-12 01:08:57.578074
Duration3.24 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시도명
Categorical

CONSTANT 

Distinct1
Distinct (%)3.1%
Missing0
Missing (%)0.0%
Memory size388.0 B
강원도
32 

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 32
100.0%

Length

2023-12-12T10:08:57.658919image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T10:08:57.776784image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
강원도 32
100.0%

시군구명
Categorical

CONSTANT 

Distinct1
Distinct (%)3.1%
Missing0
Missing (%)0.0%
Memory size388.0 B
춘천시
32 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
춘천시 32
100.0%

Length

2023-12-12T10:08:57.908838image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T10:08:58.054799image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
춘천시 32
100.0%

자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)3.1%
Missing0
Missing (%)0.0%
Memory size388.0 B
42110
32 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row42110
2nd row42110
3rd row42110
4th row42110
5th row42110

Common Values

ValueCountFrequency (%)
42110 32
100.0%

Length

2023-12-12T10:08:58.241450image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T10:08:58.358949image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
42110 32
100.0%

세목명
Categorical

HIGH CORRELATION 

Distinct8
Distinct (%)25.0%
Missing0
Missing (%)0.0%
Memory size388.0 B
교육세
4 
등록세
4 
재산세
4 
주민세
4 
취득세
4 
Other values (3)
12 

Length

Max length7
Median length3
Mean length3.875
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row교육세
2nd row등록세
3rd row재산세
4th row주민세
5th row취득세

Common Values

ValueCountFrequency (%)
교육세 4
12.5%
등록세 4
12.5%
재산세 4
12.5%
주민세 4
12.5%
취득세 4
12.5%
자동차세 4
12.5%
등록면허세 4
12.5%
지역자원시설세 4
12.5%

Length

2023-12-12T10:08:58.518064image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T10:08:58.753957image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
교육세 4
12.5%
등록세 4
12.5%
재산세 4
12.5%
주민세 4
12.5%
취득세 4
12.5%
자동차세 4
12.5%
등록면허세 4
12.5%
지역자원시설세 4
12.5%

과세년도
Categorical

Distinct4
Distinct (%)12.5%
Missing0
Missing (%)0.0%
Memory size388.0 B
2017
8 
2018
8 
2019
8 
2020
8 

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 8
25.0%
2018 8
25.0%
2019 8
25.0%
2020 8
25.0%

Length

2023-12-12T10:08:58.976816image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T10:08:59.146291image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2017 8
25.0%
2018 8
25.0%
2019 8
25.0%
2020 8
25.0%

비과세금액
Real number (ℝ)

HIGH CORRELATION  MISSING  ZEROS 

Distinct25
Distinct (%)86.2%
Missing3
Missing (%)9.4%
Infinite0
Infinite (%)0.0%
Mean5.8655299 × 109
Minimum0
Maximum3.2927489 × 1010
Zeros5
Zeros (%)15.6%
Negative0
Negative (%)0.0%
Memory size420.0 B
2023-12-12T10:08:59.324646image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q133569000
median7.61477 × 108
Q35.472423 × 109
95-th percentile3.0585103 × 1010
Maximum3.2927489 × 1010
Range3.2927489 × 1010
Interquartile range (IQR)5.438854 × 109

Descriptive statistics

Standard deviation1.0300656 × 1010
Coefficient of variation (CV)1.756134
Kurtosis2.5848902
Mean5.8655299 × 109
Median Absolute Deviation (MAD)7.61477 × 108
Skewness1.9932172
Sum1.7010037 × 1011
Variance1.0610352 × 1020
MonotonicityNot monotonic
2023-12-12T10:08:59.560294image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
0 5
 
15.6%
4183836000 1
 
3.1%
5472423000 1
 
3.1%
816987000 1
 
3.1%
33569000 1
 
3.1%
193195000 1
 
3.1%
5880312000 1
 
3.1%
4279216000 1
 
3.1%
32927489000 1
 
3.1%
804839000 1
 
3.1%
Other values (15) 15
46.9%
(Missing) 3
 
9.4%
ValueCountFrequency (%)
0 5
15.6%
9332000 1
 
3.1%
31526000 1
 
3.1%
33569000 1
 
3.1%
46107000 1
 
3.1%
193195000 1
 
3.1%
193795000 1
 
3.1%
332266000 1
 
3.1%
340442000 1
 
3.1%
700892000 1
 
3.1%
ValueCountFrequency (%)
32927489000 1
3.1%
31336365000 1
3.1%
29458209000 1
3.1%
27652791000 1
3.1%
8645835000 1
3.1%
7471386000 1
3.1%
5880312000 1
3.1%
5472423000 1
3.1%
4324978000 1
3.1%
4279216000 1
3.1%

감면금액
Real number (ℝ)

HIGH CORRELATION 

Distinct31
Distinct (%)96.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.4240774 × 109
Minimum5000
Maximum1.3374098 × 1010
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size420.0 B
2023-12-12T10:08:59.776039image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5000
5-th percentile6100
Q12.076935 × 108
median6.57184 × 108
Q32.038279 × 109
95-th percentile1.2661552 × 1010
Maximum1.3374098 × 1010
Range1.3374093 × 1010
Interquartile range (IQR)1.8305855 × 109

Descriptive statistics

Standard deviation4.0889374 × 109
Coefficient of variation (CV)1.6868015
Kurtosis2.6961708
Mean2.4240774 × 109
Median Absolute Deviation (MAD)5.570755 × 108
Skewness1.9836462
Sum7.7570478 × 1010
Variance1.6719409 × 1019
MonotonicityNot monotonic
2023-12-12T10:09:00.013301image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
5000 2
 
6.2%
3647000 1
 
3.1%
4383254000 1
 
3.1%
286171000 1
 
3.1%
213193000 1
 
3.1%
1039318000 1
 
3.1%
10930582000 1
 
3.1%
1345815000 1
 
3.1%
4454924000 1
 
3.1%
9022000 1
 
3.1%
Other values (21) 21
65.6%
ValueCountFrequency (%)
5000 2
6.2%
7000 1
3.1%
3329000 1
3.1%
3559000 1
3.1%
3647000 1
3.1%
9022000 1
3.1%
191195000 1
3.1%
213193000 1
3.1%
253128000 1
3.1%
264561000 1
3.1%
ValueCountFrequency (%)
13374098000 1
3.1%
13239257000 1
3.1%
12188885000 1
3.1%
10930582000 1
3.1%
4454924000 1
3.1%
4412667000 1
3.1%
4383254000 1
3.1%
4115671000 1
3.1%
1345815000 1
3.1%
1039318000 1
3.1%

부과금액
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct30
Distinct (%)93.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.0229863 × 1010
Minimum0
Maximum1.1319309 × 1011
Zeros3
Zeros (%)9.4%
Negative0
Negative (%)0.0%
Memory size420.0 B
2023-12-12T10:09:00.229343image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q15.8374838 × 109
median1.7543544 × 1010
Q34.650753 × 1010
95-th percentile9.8975617 × 1010
Maximum1.1319309 × 1011
Range1.1319309 × 1011
Interquartile range (IQR)4.0670046 × 1010

Descriptive statistics

Standard deviation3.2224771 × 1010
Coefficient of variation (CV)1.0659913
Kurtosis0.75073092
Mean3.0229863 × 1010
Median Absolute Deviation (MAD)1.5609448 × 1010
Skewness1.2124539
Sum9.6735562 × 1011
Variance1.0384359 × 1021
MonotonicityNot monotonic
2023-12-12T10:09:00.378896image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
0 3
 
9.4%
27166034000 1
 
3.1%
48210553000 1
 
3.1%
7921053000 1
 
3.1%
7805353000 1
 
3.1%
42067362000 1
 
3.1%
113193088000 1
 
3.1%
6319198000 1
 
3.1%
50537098000 1
 
3.1%
77280000 1
 
3.1%
Other values (20) 20
62.5%
ValueCountFrequency (%)
0 3
9.4%
77280000 1
 
3.1%
5414760000 1
 
3.1%
5622919000 1
 
3.1%
5712509000 1
 
3.1%
5824361000 1
 
3.1%
5841858000 1
 
3.1%
6101778000 1
 
3.1%
6319198000 1
 
3.1%
7289678000 1
 
3.1%
ValueCountFrequency (%)
113193088000 1
3.1%
105903866000 1
3.1%
93307049000 1
3.1%
83428379000 1
3.1%
51126231000 1
3.1%
50968243000 1
3.1%
50537098000 1
3.1%
48210553000 1
3.1%
45939855000 1
3.1%
44892983000 1
3.1%

비과세감면율
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct27
Distinct (%)84.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean25.882187
Minimum0
Maximum92.89
Zeros6
Zeros (%)18.8%
Negative0
Negative (%)0.0%
Memory size420.0 B
2023-12-12T10:09:00.553101image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12.4225
median12.8
Q335.115
95-th percentile88.8835
Maximum92.89
Range92.89
Interquartile range (IQR)32.6925

Descriptive statistics

Standard deviation33.576853
Coefficient of variation (CV)1.2972958
Kurtosis-0.50128143
Mean25.882187
Median Absolute Deviation (MAD)10.395
Skewness1.1262923
Sum828.23
Variance1127.405
MonotonicityNot monotonic
2023-12-12T10:09:00.721932image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
0.0 6
 
18.8%
0.01 1
 
3.1%
13.93 1
 
3.1%
3.16 1
 
3.1%
2.93 1
 
3.1%
14.85 1
 
3.1%
89.01 1
 
3.1%
73.97 1
 
3.1%
11.67 1
 
3.1%
14.52 1
 
3.1%
Other values (17) 17
53.1%
ValueCountFrequency (%)
0.0 6
18.8%
0.01 1
 
3.1%
2.37 1
 
3.1%
2.44 1
 
3.1%
2.76 1
 
3.1%
2.93 1
 
3.1%
3.16 1
 
3.1%
4.07 1
 
3.1%
4.67 1
 
3.1%
5.09 1
 
3.1%
ValueCountFrequency (%)
92.89 1
3.1%
89.01 1
3.1%
88.78 1
3.1%
85.34 1
3.1%
75.45 1
3.1%
74.09 1
3.1%
73.97 1
3.1%
73.17 1
3.1%
22.43 1
3.1%
22.34 1
3.1%

데이터기준일
Categorical

CONSTANT 

Distinct1
Distinct (%)3.1%
Missing0
Missing (%)0.0%
Memory size388.0 B
2022-06-20
32 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2022-06-20
2nd row2022-06-20
3rd row2022-06-20
4th row2022-06-20
5th row2022-06-20

Common Values

ValueCountFrequency (%)
2022-06-20 32
100.0%

Length

2023-12-12T10:09:00.916186image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T10:09:01.040196image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2022-06-20 32
100.0%

Interactions

2023-12-12T10:08:56.676561image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T10:08:54.681812image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T10:08:55.248346image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T10:08:55.831518image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T10:08:56.797462image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T10:08:54.835129image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T10:08:55.406684image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T10:08:56.333905image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T10:08:56.924708image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T10:08:54.978911image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T10:08:55.555921image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T10:08:56.448704image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T10:08:57.054929image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T10:08:55.107538image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T10:08:55.701116image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T10:08:56.554187image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T10:09:01.116749image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
세목명과세년도비과세금액감면금액부과금액비과세감면율
세목명1.0000.0000.8090.7920.8130.901
과세년도0.0001.0000.0000.0000.0000.000
비과세금액0.8090.0001.0000.9320.7470.862
감면금액0.7920.0000.9321.0000.7080.815
부과금액0.8130.0000.7470.7081.0000.638
비과세감면율0.9010.0000.8620.8150.6381.000
2023-12-12T10:09:01.233659image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
과세년도세목명
과세년도1.0000.000
세목명0.0001.000
2023-12-12T10:09:01.342249image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
비과세금액감면금액부과금액비과세감면율세목명과세년도
비과세금액1.0000.8670.4350.8250.6240.000
감면금액0.8671.0000.6420.6700.6140.000
부과금액0.4350.6421.0000.1600.5950.000
비과세감면율0.8250.6700.1601.0000.7440.000
세목명0.6240.6140.5950.7441.0000.000
과세년도0.0000.0000.0000.0000.0001.000

Missing values

2023-12-12T10:08:57.254681image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T10:08:57.484025image/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

시도명시군구명자치단체코드세목명과세년도비과세금액감면금액부과금액비과세감면율데이터기준일
0강원도춘천시42110교육세201703647000271660340000.012022-06-20
1강원도춘천시42110등록세2017<NA>332900000.02022-06-20
2강원도춘천시42110재산세20172765279100041156710004341567900073.172022-06-20
3강원도춘천시42110주민세20174183836000845971000541476000092.892022-06-20
4강원도춘천시42110취득세20175472423000132392570008342837900022.432022-06-20
5강원도춘천시42110자동차세2017332266000936995000459398550002.762022-06-20
6강원도춘천시42110등록면허세2017933200025312800056229190004.672022-06-20
7강원도춘천시42110지역자원시설세2017700892000324489000728967800014.072022-06-20
8강원도춘천시42110교육세201805000280945480000.02022-06-20
9강원도춘천시42110등록세2018<NA>355900000.02022-06-20
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23강원도춘천시42110지역자원시설세2019804839000264561000736726500014.522022-06-20
24강원도춘천시42110교육세202007000312961760000.02022-06-20
25강원도춘천시42110등록세2020090220007728000011.672022-06-20
26강원도춘천시42110재산세20203292748900044549240005053709800073.972022-06-20
27강원도춘천시42110주민세202042792160001345815000631919800089.012022-06-20
28강원도춘천시42110취득세202058803120001093058200011319308800014.852022-06-20
29강원도춘천시42110자동차세20201931950001039318000420673620002.932022-06-20
30강원도춘천시42110등록면허세20203356900021319300078053530003.162022-06-20
31강원도춘천시42110지역자원시설세2020816987000286171000792105300013.932022-06-20