Overview

Dataset statistics

Number of variables8
Number of observations31
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.2 KiB
Average record size in memory71.3 B

Variable types

Categorical6
Boolean1
Numeric1

Dataset

Description경기도 과천시의 세목별 납세 인원 현황이며, 세목명, 납세자유형, 관내 유무, 납세자수 등의 데이터를 제공합니다.
URLhttps://www.data.go.kr/data/15078713/fileData.do

Alerts

시도명 has constant value ""Constant
시군구명 has constant value ""Constant
자치단체코드 has constant value ""Constant
과세년도 has constant value ""Constant
납세자수 is highly overall correlated with 납세자유형High correlation
납세자유형 is highly overall correlated with 납세자수High correlation

Reproduction

Analysis started2023-12-12 11:58:50.607526
Analysis finished2023-12-12 11:58:51.222769
Duration0.62 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시도명
Categorical

CONSTANT 

Distinct1
Distinct (%)3.2%
Missing0
Missing (%)0.0%
Memory size380.0 B
경기도
31 

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 31
100.0%

Length

2023-12-12T20:58:51.314952image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T20:58:51.423470image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
경기도 31
100.0%

시군구명
Categorical

CONSTANT 

Distinct1
Distinct (%)3.2%
Missing0
Missing (%)0.0%
Memory size380.0 B
과천시
31 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
과천시 31
100.0%

Length

2023-12-12T20:58:51.549809image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T20:58:51.656681image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
과천시 31
100.0%

자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)3.2%
Missing0
Missing (%)0.0%
Memory size380.0 B
41290
31 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row41290
2nd row41290
3rd row41290
4th row41290
5th row41290

Common Values

ValueCountFrequency (%)
41290 31
100.0%

Length

2023-12-12T20:58:51.772480image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T20:58:51.886563image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
41290 31
100.0%

과세년도
Categorical

CONSTANT 

Distinct1
Distinct (%)3.2%
Missing0
Missing (%)0.0%
Memory size380.0 B
2022
31 

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 31
100.0%

Length

2023-12-12T20:58:51.996973image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T20:58:52.104858image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2022 31
100.0%

세목명
Categorical

Distinct11
Distinct (%)35.5%
Missing0
Missing (%)0.0%
Memory size380.0 B
재산세
4 
주민세
4 
취득세
4 
자동차세
4 
등록면허세
4 
Other values (6)
11 

Length

Max length7
Median length5
Mean length3.9677419
Min length3

Unique

Unique3 ?
Unique (%)9.7%

Sample

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

Common Values

ValueCountFrequency (%)
재산세 4
12.9%
주민세 4
12.9%
취득세 4
12.9%
자동차세 4
12.9%
등록면허세 4
12.9%
지방소득세 4
12.9%
등록세 2
6.5%
담배소비세 2
6.5%
레저세 1
 
3.2%
지방소비세 1
 
3.2%

Length

2023-12-12T20:58:52.282169image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
재산세 4
12.9%
주민세 4
12.9%
취득세 4
12.9%
자동차세 4
12.9%
등록면허세 4
12.9%
지방소득세 4
12.9%
등록세 2
6.5%
담배소비세 2
6.5%
레저세 1
 
3.2%
지방소비세 1
 
3.2%

납세자유형
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)6.5%
Missing0
Missing (%)0.0%
Memory size380.0 B
개인
16 
법인
15 

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 16
51.6%
법인 15
48.4%

Length

2023-12-12T20:58:52.455485image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T20:58:52.567037image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
개인 16
51.6%
법인 15
48.4%

관내_관외
Boolean

Distinct2
Distinct (%)6.5%
Missing0
Missing (%)0.0%
Memory size163.0 B
False
16 
True
15 
ValueCountFrequency (%)
False 16
51.6%
True 15
48.4%
2023-12-12T20:58:52.666878image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

납세자수
Real number (ℝ)

HIGH CORRELATION 

Distinct28
Distinct (%)90.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3907.5484
Minimum1
Maximum24589
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size411.0 B
2023-12-12T20:58:52.784328image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q193.5
median778
Q34315
95-th percentile18384
Maximum24589
Range24588
Interquartile range (IQR)4221.5

Descriptive statistics

Standard deviation6598.523
Coefficient of variation (CV)1.6886606
Kurtosis3.1643582
Mean3907.5484
Median Absolute Deviation (MAD)777
Skewness2.0173448
Sum121134
Variance43540506
MonotonicityNot monotonic
2023-12-12T20:58:52.942173image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
1 4
 
12.9%
5 1
 
3.2%
18837 1
 
3.2%
821 1
 
3.2%
424 1
 
3.2%
9692 1
 
3.2%
2377 1
 
3.2%
805 1
 
3.2%
788 1
 
3.2%
5698 1
 
3.2%
Other values (18) 18
58.1%
ValueCountFrequency (%)
1 4
12.9%
4 1
 
3.2%
5 1
 
3.2%
37 1
 
3.2%
70 1
 
3.2%
117 1
 
3.2%
173 1
 
3.2%
185 1
 
3.2%
236 1
 
3.2%
314 1
 
3.2%
ValueCountFrequency (%)
24589 1
3.2%
18837 1
3.2%
17931 1
3.2%
16634 1
3.2%
9692 1
3.2%
5725 1
3.2%
5698 1
3.2%
4657 1
3.2%
3973 1
3.2%
2867 1
3.2%

Interactions

2023-12-12T20:58:50.829531image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T20:58:53.065581image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
세목명납세자유형관내_관외납세자수
세목명1.0000.0000.0000.000
납세자유형0.0001.0000.0000.587
관내_관외0.0000.0001.0000.425
납세자수0.0000.5870.4251.000
2023-12-12T20:58:53.219493image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
세목명관내_관외납세자유형
세목명1.0000.0000.000
관내_관외0.0001.0000.000
납세자유형0.0000.0001.000
2023-12-12T20:58:53.376942image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
납세자수세목명납세자유형관내_관외
납세자수1.0000.0000.5710.408
세목명0.0001.0000.0000.000
납세자유형0.5710.0001.0000.000
관내_관외0.4080.0000.0001.000

Missing values

2023-12-12T20:58:50.967508image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T20:58:51.158450image/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
0경기도과천시412902022등록세개인N5
1경기도과천시412902022등록세개인Y1
2경기도과천시412902022레저세법인Y1
3경기도과천시412902022재산세개인N16634
4경기도과천시412902022재산세개인Y17931
5경기도과천시412902022재산세법인N236
6경기도과천시412902022재산세법인Y173
7경기도과천시412902022주민세개인N4657
8경기도과천시412902022주민세개인Y24589
9경기도과천시412902022주민세법인N314
시도명시군구명자치단체코드과세년도세목명납세자유형관내_관외납세자수
21경기도과천시412902022등록면허세개인N2847
22경기도과천시412902022등록면허세개인Y5698
23경기도과천시412902022등록면허세법인N788
24경기도과천시412902022등록면허세법인Y805
25경기도과천시412902022지방소득세개인N2377
26경기도과천시412902022지방소득세개인Y9692
27경기도과천시412902022지방소득세법인N424
28경기도과천시412902022지방소득세법인Y821
29경기도과천시412902022지방소비세법인Y1
30경기도과천시412902022지역자원시설세개인N1