Overview

Dataset statistics

Number of variables8
Number of observations211
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory13.9 KiB
Average record size in memory67.6 B

Variable types

Categorical5
Numeric2
Boolean1

Dataset

Description2017년 세목별 납세자유형 및 납세자 수, 2018년 세목별 납세자유형 및 납세자 수, 2019년 세목별 납세자유형 및 납세자 수, 2020년, 2021년, 2022년 세목별 납세자유형 및 납세자 수에 대한 자료입니다.
URLhttps://www.data.go.kr/data/15079205/fileData.do

Alerts

시도명 has constant value ""Constant
시군구명 has constant value ""Constant
자치단체코드 has constant value ""Constant

Reproduction

Analysis started2023-12-12 14:40:30.978588
Analysis finished2023-12-12 14:40:31.925615
Duration0.95 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시도명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
경상남도
211 

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 211
100.0%

Length

2023-12-12T23:40:31.992130image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T23:40:32.087883image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
경상남도 211
100.0%

시군구명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
거창군
211 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
거창군 211
100.0%

Length

2023-12-12T23:40:32.192932image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T23:40:32.293252image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
거창군 211
100.0%

자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
48880
211 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row48880
2nd row48880
3rd row48880
4th row48880
5th row48880

Common Values

ValueCountFrequency (%)
48880 211
100.0%

Length

2023-12-12T23:40:32.408797image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T23:40:32.509943image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
48880 211
100.0%

과세년도
Real number (ℝ)

Distinct6
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2019.545
Minimum2017
Maximum2022
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.0 KiB
2023-12-12T23:40:32.609734image/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 deviation1.7131456
Coefficient of variation (CV)0.00084828296
Kurtosis-1.2652733
Mean2019.545
Median Absolute Deviation (MAD)1
Skewness-0.031449862
Sum426124
Variance2.934868
MonotonicityIncreasing
2023-12-12T23:40:32.725830image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
2022 37
17.5%
2020 36
17.1%
2019 35
16.6%
2021 35
16.6%
2017 34
16.1%
2018 34
16.1%
ValueCountFrequency (%)
2017 34
16.1%
2018 34
16.1%
2019 35
16.6%
2020 36
17.1%
2021 35
16.6%
2022 37
17.5%
ValueCountFrequency (%)
2022 37
17.5%
2021 35
16.6%
2020 36
17.1%
2019 35
16.6%
2018 34
16.1%
2017 34
16.1%

세목명
Categorical

Distinct11
Distinct (%)5.2%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
재산세
24 
주민세
24 
취득세
24 
자동차세
24 
등록면허세
24 
Other values (6)
91 

Length

Max length7
Median length5
Mean length4.1943128
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row등록세
2nd row등록세
3rd row등록세
4th row재산세
5th row재산세

Common Values

ValueCountFrequency (%)
재산세 24
11.4%
주민세 24
11.4%
취득세 24
11.4%
자동차세 24
11.4%
등록면허세 24
11.4%
지방소득세 24
11.4%
지역자원시설세 22
10.4%
등록세 21
10.0%
담배소비세 19
9.0%
지방소비세 3
 
1.4%

Length

2023-12-12T23:40:32.893255image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
재산세 24
11.4%
주민세 24
11.4%
취득세 24
11.4%
자동차세 24
11.4%
등록면허세 24
11.4%
지방소득세 24
11.4%
지역자원시설세 22
10.4%
등록세 21
10.0%
담배소비세 19
9.0%
지방소비세 3
 
1.4%

납세자유형
Categorical

Distinct2
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
개인
106 
법인
105 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row개인
2nd row개인
3rd row법인
4th row개인
5th row개인

Common Values

ValueCountFrequency (%)
개인 106
50.2%
법인 105
49.8%

Length

2023-12-12T23:40:33.029553image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T23:40:33.144190image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
개인 106
50.2%
법인 105
49.8%

관내/관외
Boolean

Distinct2
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size343.0 B
True
107 
False
104 
ValueCountFrequency (%)
True 107
50.7%
False 104
49.3%
2023-12-12T23:40:33.257192image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

납세자수
Real number (ℝ)

Distinct171
Distinct (%)81.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4240.3981
Minimum1
Maximum32727
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.0 KiB
2023-12-12T23:40:33.410928image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q141
median566
Q32107.5
95-th percentile30385
Maximum32727
Range32726
Interquartile range (IQR)2066.5

Descriptive statistics

Standard deviation8772.3237
Coefficient of variation (CV)2.06875
Kurtosis4.3104642
Mean4240.3981
Median Absolute Deviation (MAD)559
Skewness2.3817491
Sum894724
Variance76953663
MonotonicityNot monotonic
2023-12-12T23:40:33.607480image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 9
 
4.3%
3 5
 
2.4%
4 5
 
2.4%
2 5
 
2.4%
6 4
 
1.9%
7 4
 
1.9%
5 4
 
1.9%
11 3
 
1.4%
40 2
 
0.9%
201 2
 
0.9%
Other values (161) 168
79.6%
ValueCountFrequency (%)
1 9
4.3%
2 5
2.4%
3 5
2.4%
4 5
2.4%
5 4
1.9%
6 4
1.9%
7 4
1.9%
9 2
 
0.9%
10 2
 
0.9%
11 3
 
1.4%
ValueCountFrequency (%)
32727 1
0.5%
32518 1
0.5%
32349 1
0.5%
32173 1
0.5%
32151 1
0.5%
32102 1
0.5%
32073 1
0.5%
31691 1
0.5%
31548 1
0.5%
31193 1
0.5%

Interactions

2023-12-12T23:40:31.472440image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:40:31.225955image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:40:31.584632image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:40:31.346174image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T23:40:34.050882image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
과세년도세목명납세자유형관내/관외납세자수
과세년도1.0000.0000.0000.0000.000
세목명0.0001.0000.0000.0000.608
납세자유형0.0000.0001.0000.0000.619
관내/관외0.0000.0000.0001.0000.486
납세자수0.0000.6080.6190.4861.000
2023-12-12T23:40:34.184237image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
납세자유형관내/관외세목명
납세자유형1.0000.0000.000
관내/관외0.0001.0000.000
세목명0.0000.0001.000
2023-12-12T23:40:34.288140image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
과세년도납세자수세목명납세자유형관내/관외
과세년도1.0000.0010.0000.0000.000
납세자수0.0011.0000.3400.4620.360
세목명0.0000.3401.0000.0000.000
납세자유형0.0000.4620.0001.0000.000
관내/관외0.0000.3600.0000.0001.000

Missing values

2023-12-12T23:40:31.724338image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T23:40:31.876421image/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

시도명시군구명자치단체코드과세년도세목명납세자유형관내/관외납세자수
0경상남도거창군488802017등록세개인N231
1경상남도거창군488802017등록세개인Y216
2경상남도거창군488802017등록세법인Y10
3경상남도거창군488802017재산세개인N30032
4경상남도거창군488802017재산세개인Y31548
5경상남도거창군488802017재산세법인N497
6경상남도거창군488802017재산세법인Y2521
7경상남도거창군488802017주민세개인N2234
8경상남도거창군488802017주민세개인Y26512
9경상남도거창군488802017주민세법인N134
시도명시군구명자치단체코드과세년도세목명납세자유형관내/관외납세자수
201경상남도거창군488802022등록면허세법인Y943
202경상남도거창군488802022지방소득세개인N1565
203경상남도거창군488802022지방소득세개인Y9779
204경상남도거창군488802022지방소득세법인N298
205경상남도거창군488802022지방소득세법인Y945
206경상남도거창군488802022지방소비세법인Y1
207경상남도거창군488802022지역자원시설세개인N5
208경상남도거창군488802022지역자원시설세개인Y34
209경상남도거창군488802022지역자원시설세법인N3
210경상남도거창군488802022지역자원시설세법인Y11