Overview

Dataset statistics

Number of variables8
Number of observations37
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.5 KiB
Average record size in memory70.6 B

Variable types

Categorical6
Boolean1
Numeric1

Dataset

Description지방세 납세자현황(시도명, 시군구명, 자치단체코드, 과세년도, 세목명, 납세자유형, 관내/관외, 납세자수)
URLhttps://www.data.go.kr/data/15078237/fileData.do

Alerts

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

Reproduction

Analysis started2023-12-12 23:23:23.128844
Analysis finished2023-12-12 23:23:23.531188
Duration0.4 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시도명
Categorical

CONSTANT 

Distinct1
Distinct (%)2.7%
Missing0
Missing (%)0.0%
Memory size428.0 B
전라남도
37 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
전라남도 37
100.0%

Length

2023-12-13T08:23:23.579007image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T08:23:23.654541image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
전라남도 37
100.0%

시군구명
Categorical

CONSTANT 

Distinct1
Distinct (%)2.7%
Missing0
Missing (%)0.0%
Memory size428.0 B
목포시
37 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
목포시 37
100.0%

Length

2023-12-13T08:23:23.729510image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T08:23:23.800088image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
목포시 37
100.0%

자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)2.7%
Missing0
Missing (%)0.0%
Memory size428.0 B
46110
37 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row46110
2nd row46110
3rd row46110
4th row46110
5th row46110

Common Values

ValueCountFrequency (%)
46110 37
100.0%

Length

2023-12-13T08:23:23.881395image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T08:23:23.961324image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
46110 37
100.0%

과세년도
Categorical

CONSTANT 

Distinct1
Distinct (%)2.7%
Missing0
Missing (%)0.0%
Memory size428.0 B
2022
37 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2022
2nd row2022
3rd row2022
4th row2022
5th row2022

Common Values

ValueCountFrequency (%)
2022 37
100.0%

Length

2023-12-13T08:23:24.269328image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T08:23:24.344403image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2022 37
100.0%

세목명
Categorical

Distinct12
Distinct (%)32.4%
Missing0
Missing (%)0.0%
Memory size428.0 B
재산세
4 
주민세
4 
취득세
4 
자동차세
4 
등록면허세
4 
Other values (7)
17 

Length

Max length7
Median length5
Mean length4.1891892
Min length3

Unique

Unique2 ?
Unique (%)5.4%

Sample

1st row교육세
2nd row등록세
3rd row등록세
4th row레저세
5th row레저세

Common Values

ValueCountFrequency (%)
재산세 4
10.8%
주민세 4
10.8%
취득세 4
10.8%
자동차세 4
10.8%
등록면허세 4
10.8%
지방소득세 4
10.8%
지역자원시설세 4
10.8%
담배소비세 3
8.1%
등록세 2
5.4%
레저세 2
5.4%
Other values (2) 2
5.4%

Length

2023-12-13T08:23:24.427236image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
재산세 4
10.8%
주민세 4
10.8%
취득세 4
10.8%
자동차세 4
10.8%
등록면허세 4
10.8%
지방소득세 4
10.8%
지역자원시설세 4
10.8%
담배소비세 3
8.1%
등록세 2
5.4%
레저세 2
5.4%
Other values (2) 2
5.4%

납세자유형
Categorical

Distinct2
Distinct (%)5.4%
Missing0
Missing (%)0.0%
Memory size428.0 B
개인
19 
법인
18 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
개인 19
51.4%
법인 18
48.6%

Length

2023-12-13T08:23:24.527932image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T08:23:24.601510image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
개인 19
51.4%
법인 18
48.6%

관내/관외
Boolean

Distinct2
Distinct (%)5.4%
Missing0
Missing (%)0.0%
Memory size169.0 B
False
20 
True
17 
ValueCountFrequency (%)
False 20
54.1%
True 17
45.9%
2023-12-13T08:23:24.672366image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

납세자수
Real number (ℝ)

Distinct32
Distinct (%)86.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10188.514
Minimum1
Maximum87151
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size465.0 B
2023-12-13T08:23:24.752204image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q15
median838
Q35581
95-th percentile64529.8
Maximum87151
Range87150
Interquartile range (IQR)5576

Descriptive statistics

Standard deviation21168.726
Coefficient of variation (CV)2.0777051
Kurtosis6.0315412
Mean10188.514
Median Absolute Deviation (MAD)837
Skewness2.5726674
Sum376975
Variance4.4811496 × 108
MonotonicityNot monotonic
2023-12-13T08:23:24.842418image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=32)
ValueCountFrequency (%)
1 5
 
13.5%
3 2
 
5.4%
16 1
 
2.7%
5 1
 
2.7%
17 1
 
2.7%
2 1
 
2.7%
2808 1
 
2.7%
804 1
 
2.7%
2059 1
 
2.7%
7764 1
 
2.7%
Other values (22) 22
59.5%
ValueCountFrequency (%)
1 5
13.5%
2 1
 
2.7%
3 2
 
5.4%
4 1
 
2.7%
5 1
 
2.7%
16 1
 
2.7%
17 1
 
2.7%
36 1
 
2.7%
181 1
 
2.7%
391 1
 
2.7%
ValueCountFrequency (%)
87151 1
2.7%
70009 1
2.7%
63160 1
2.7%
39699 1
2.7%
27862 1
2.7%
25559 1
2.7%
15854 1
2.7%
7764 1
2.7%
7463 1
2.7%
5581 1
2.7%

Interactions

2023-12-13T08:23:23.291555image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T08:23:24.903065image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
세목명납세자유형관내/관외납세자수
세목명1.0000.0000.0000.000
납세자유형0.0001.0000.0000.264
관내/관외0.0000.0001.0000.339
납세자수0.0000.2640.3391.000
2023-12-13T08:23:24.976026image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
관내/관외세목명납세자유형
관내/관외1.0000.0000.000
세목명0.0001.0000.000
납세자유형0.0000.0001.000
2023-12-13T08:23:25.041773image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
납세자수세목명납세자유형관내/관외
납세자수1.0000.0000.1650.221
세목명0.0001.0000.0000.000
납세자유형0.1650.0001.0000.000
관내/관외0.2210.0000.0001.000

Missing values

2023-12-13T08:23:23.391021image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T08:23:23.492869image/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
0전라남도목포시461102022교육세법인N1
1전라남도목포시461102022등록세개인N1
2전라남도목포시461102022등록세개인Y3
3전라남도목포시461102022레저세개인N1
4전라남도목포시461102022레저세법인N3
5전라남도목포시461102022재산세개인N27862
6전라남도목포시461102022재산세개인Y63160
7전라남도목포시461102022재산세법인N838
8전라남도목포시461102022재산세법인Y1255
9전라남도목포시461102022주민세개인N5564
시도명시군구명자치단체코드과세년도세목명납세자유형관내/관외납세자수
27전라남도목포시461102022등록면허세법인Y2734
28전라남도목포시461102022지방소득세개인N7764
29전라남도목포시461102022지방소득세개인Y39699
30전라남도목포시461102022지방소득세법인N804
31전라남도목포시461102022지방소득세법인Y2808
32전라남도목포시461102022지방소비세개인Y1
33전라남도목포시461102022지역자원시설세개인N2
34전라남도목포시461102022지역자원시설세개인Y17
35전라남도목포시461102022지역자원시설세법인N5
36전라남도목포시461102022지역자원시설세법인Y16