Overview

Dataset statistics

Number of variables8
Number of observations39
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.7 KiB
Average record size in memory70.4 B

Variable types

Categorical6
Boolean1
Numeric1

Dataset

Description세목별(재산세, 취득세, 지방소득세 등) 납세 인원 현황(관내, 관외 여부 및 납세자수 등)을 제공하는 정보입니다.
URLhttps://www.data.go.kr/data/15079411/fileData.do

Alerts

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

Reproduction

Analysis started2023-12-12 15:00:55.668249
Analysis finished2023-12-12 15:00:56.223838
Duration0.56 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시도명
Categorical

CONSTANT 

Distinct1
Distinct (%)2.6%
Missing0
Missing (%)0.0%
Memory size444.0 B
경기도
39 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
경기도 39
100.0%

Length

2023-12-13T00:00:56.287506image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T00:00:56.390337image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
경기도 39
100.0%

시군구명
Categorical

CONSTANT 

Distinct1
Distinct (%)2.6%
Missing0
Missing (%)0.0%
Memory size444.0 B
하남시
39 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
하남시 39
100.0%

Length

2023-12-13T00:00:56.499397image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T00:00:56.894567image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
하남시 39
100.0%

자체단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)2.6%
Missing0
Missing (%)0.0%
Memory size444.0 B
41450
39 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row41450
2nd row41450
3rd row41450
4th row41450
5th row41450

Common Values

ValueCountFrequency (%)
41450 39
100.0%

Length

2023-12-13T00:00:56.990927image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T00:00:57.098343image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
41450 39
100.0%

과세년도
Categorical

CONSTANT 

Distinct1
Distinct (%)2.6%
Missing0
Missing (%)0.0%
Memory size444.0 B
2022
39 

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 39
100.0%

Length

2023-12-13T00:00:57.214867image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T00:00:57.328897image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2022 39
100.0%

세목명
Categorical

Distinct11
Distinct (%)28.2%
Missing0
Missing (%)0.0%
Memory size444.0 B
등록세
4 
재산세
4 
주민세
4 
취득세
4 
자동차세
4 
Other values (6)
19 

Length

Max length7
Median length5
Mean length4.1794872
Min length3

Unique

Unique1 ?
Unique (%)2.6%

Sample

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

Common Values

ValueCountFrequency (%)
등록세 4
10.3%
재산세 4
10.3%
주민세 4
10.3%
취득세 4
10.3%
자동차세 4
10.3%
담배소비세 4
10.3%
등록면허세 4
10.3%
지방소득세 4
10.3%
지역자원시설세 4
10.3%
레저세 2
5.1%

Length

2023-12-13T00:00:57.466455image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
등록세 4
10.3%
재산세 4
10.3%
주민세 4
10.3%
취득세 4
10.3%
자동차세 4
10.3%
담배소비세 4
10.3%
등록면허세 4
10.3%
지방소득세 4
10.3%
지역자원시설세 4
10.3%
레저세 2
5.1%

납세자유형
Categorical

Distinct2
Distinct (%)5.1%
Missing0
Missing (%)0.0%
Memory size444.0 B
법인
20 
개인
19 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
법인 20
51.3%
개인 19
48.7%

Length

2023-12-13T00:00:57.607823image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T00:00:57.742563image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
법인 20
51.3%
개인 19
48.7%

관내-관외
Boolean

Distinct2
Distinct (%)5.1%
Missing0
Missing (%)0.0%
Memory size171.0 B
False
20 
True
19 
ValueCountFrequency (%)
False 20
51.3%
True 19
48.7%
2023-12-13T00:00:57.830767image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

납세자수
Real number (ℝ)

Distinct33
Distinct (%)84.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean15802.872
Minimum1
Maximum120670
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size483.0 B
2023-12-13T00:00:57.955521image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1.9
Q18.5
median1779
Q312849.5
95-th percentile91668.8
Maximum120670
Range120669
Interquartile range (IQR)12841

Descriptive statistics

Standard deviation30739.104
Coefficient of variation (CV)1.9451594
Kurtosis4.5485626
Mean15802.872
Median Absolute Deviation (MAD)1777
Skewness2.3408561
Sum616312
Variance9.4489254 × 108
MonotonicityNot monotonic
2023-12-13T00:00:58.093095image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=33)
ValueCountFrequency (%)
3 3
 
7.7%
2 3
 
7.7%
1 2
 
5.1%
7 2
 
5.1%
25 1
 
2.6%
5670 1
 
2.6%
32 1
 
2.6%
20620 1
 
2.6%
28386 1
 
2.6%
3942 1
 
2.6%
Other values (23) 23
59.0%
ValueCountFrequency (%)
1 2
5.1%
2 3
7.7%
3 3
7.7%
7 2
5.1%
10 1
 
2.6%
17 1
 
2.6%
25 1
 
2.6%
29 1
 
2.6%
32 1
 
2.6%
764 1
 
2.6%
ValueCountFrequency (%)
120670 1
2.6%
101063 1
2.6%
90625 1
2.6%
77469 1
2.6%
63319 1
2.6%
28386 1
2.6%
21823 1
2.6%
20620 1
2.6%
18658 1
2.6%
15771 1
2.6%

Interactions

2023-12-13T00:00:55.865861image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T00:00:58.191918image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
세목명납세자유형관내-관외납세자수
세목명1.0000.0000.0000.000
납세자유형0.0001.0000.0000.624
관내-관외0.0000.0001.0000.127
납세자수0.0000.6240.1271.000
2023-12-13T00:00:58.307762image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
관내-관외세목명납세자유형
관내-관외1.0000.0000.000
세목명0.0001.0000.000
납세자유형0.0000.0001.000
2023-12-13T00:00:58.408039image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
납세자수세목명납세자유형관내-관외
납세자수1.0000.0000.4280.053
세목명0.0001.0000.0000.000
납세자유형0.4280.0001.0000.000
관내-관외0.0530.0000.0001.000

Missing values

2023-12-13T00:00:56.008258image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T00:00:56.179693image/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

시도명시군구명자체단체코드과세년도세목명납세자유형관내-관외납세자수
0경기도하남시414502022등록세개인N25
1경기도하남시414502022등록세개인Y29
2경기도하남시414502022등록세법인N1
3경기도하남시414502022등록세법인Y3
4경기도하남시414502022레저세개인N2
5경기도하남시414502022레저세법인N3
6경기도하남시414502022재산세개인N63319
7경기도하남시414502022재산세개인Y77469
8경기도하남시414502022재산세법인N1779
9경기도하남시414502022재산세법인Y1573
시도명시군구명자체단체코드과세년도세목명납세자유형관내-관외납세자수
29경기도하남시414502022등록면허세법인Y5670
30경기도하남시414502022지방소득세개인N18658
31경기도하남시414502022지방소득세개인Y90625
32경기도하남시414502022지방소득세법인N3182
33경기도하남시414502022지방소득세법인Y6411
34경기도하남시414502022지방소비세법인Y1
35경기도하남시414502022지역자원시설세개인N7
36경기도하남시414502022지역자원시설세개인Y17
37경기도하남시414502022지역자원시설세법인N2
38경기도하남시414502022지역자원시설세법인Y10