Overview

Dataset statistics

Number of variables8
Number of observations173
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory11.4 KiB
Average record size in memory67.8 B

Variable types

Categorical6
Boolean1
Numeric1

Dataset

Description지방세가 과세된 세목별 납세 인원 현황을 제공 (시도명 시군구명 자치단체코드 과세년도 세목명 납세자유형 관내/관외납세자수)
URLhttps://www.data.go.kr/data/15079256/fileData.do

Alerts

시도명 has constant value ""Constant
시군구명 has constant value ""Constant
자치단체코드 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 05:08:45.404031
Analysis finished2023-12-12 05:08:46.041231
Duration0.64 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시도명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
경기도
173 

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 173
100.0%

Length

2023-12-12T14:08:46.117150image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T14:08:46.256107image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
경기도 173
100.0%

시군구명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
양주시
173 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
양주시 173
100.0%

Length

2023-12-12T14:08:46.397832image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T14:08:46.508710image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
양주시 173
100.0%

자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
41630
173 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row41630
2nd row41630
3rd row41630
4th row41630
5th row41630

Common Values

ValueCountFrequency (%)
41630 173
100.0%

Length

2023-12-12T14:08:46.623828image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T14:08:46.745271image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
41630 173
100.0%

과세년도
Categorical

Distinct5
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
2020
36 
2021
36 
2018
34 
2019
34 
2017
33 

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 (%)
2020 36
20.8%
2021 36
20.8%
2018 34
19.7%
2019 34
19.7%
2017 33
19.1%

Length

2023-12-12T14:08:46.936036image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T14:08:47.096647image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2020 36
20.8%
2021 36
20.8%
2018 34
19.7%
2019 34
19.7%
2017 33
19.1%

세목명
Categorical

Distinct10
Distinct (%)5.8%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
재산세
20 
주민세
20 
취득세
20 
자동차세
20 
등록면허세
20 
Other values (5)
73 

Length

Max length7
Median length5
Mean length4.2023121
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
재산세 20
11.6%
주민세 20
11.6%
취득세 20
11.6%
자동차세 20
11.6%
등록면허세 20
11.6%
지방소득세 20
11.6%
지역자원시설세 20
11.6%
등록세 19
11.0%
담배소비세 12
6.9%
지방소비세 2
 
1.2%

Length

2023-12-12T14:08:47.293814image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T14:08:47.499548image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
재산세 20
11.6%
주민세 20
11.6%
취득세 20
11.6%
자동차세 20
11.6%
등록면허세 20
11.6%
지방소득세 20
11.6%
지역자원시설세 20
11.6%
등록세 19
11.0%
담배소비세 12
6.9%
지방소비세 2
 
1.2%

납세자유형
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
법인
88 
개인
85 

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 (%)
법인 88
50.9%
개인 85
49.1%

Length

2023-12-12T14:08:47.672000image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T14:08:48.194873image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
법인 88
50.9%
개인 85
49.1%

관내-관외
Boolean

Distinct2
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size305.0 B
False
89 
True
84 
ValueCountFrequency (%)
False 89
51.4%
True 84
48.6%
2023-12-12T14:08:48.337145image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

납세자수
Real number (ℝ)

HIGH CORRELATION 

Distinct159
Distinct (%)91.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11189.809
Minimum1
Maximum87089
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2023-12-12T14:08:48.549405image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q1196
median1985
Q310817
95-th percentile61004.8
Maximum87089
Range87088
Interquartile range (IQR)10621

Descriptive statistics

Standard deviation20014.66
Coefficient of variation (CV)1.7886507
Kurtosis4.4660849
Mean11189.809
Median Absolute Deviation (MAD)1937
Skewness2.2781594
Sum1935837
Variance4.0058663 × 108
MonotonicityNot monotonic
2023-12-12T14:08:48.774168image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2 5
 
2.9%
1 5
 
2.9%
48 3
 
1.7%
5 2
 
1.2%
3 2
 
1.2%
9 2
 
1.2%
10 2
 
1.2%
71 1
 
0.6%
1133 1
 
0.6%
4460 1
 
0.6%
Other values (149) 149
86.1%
ValueCountFrequency (%)
1 5
2.9%
2 5
2.9%
3 2
 
1.2%
4 1
 
0.6%
5 2
 
1.2%
6 1
 
0.6%
9 2
 
1.2%
10 2
 
1.2%
13 1
 
0.6%
28 1
 
0.6%
ValueCountFrequency (%)
87089 1
0.6%
84581 1
0.6%
82100 1
0.6%
78862 1
0.6%
76254 1
0.6%
75864 1
0.6%
70635 1
0.6%
67754 1
0.6%
61945 1
0.6%
60378 1
0.6%

Interactions

2023-12-12T14:08:45.713768image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T14:08:48.949045image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
과세년도세목명납세자유형관내-관외납세자수
과세년도1.0000.0000.0000.0000.000
세목명0.0001.0000.0000.0000.660
납세자유형0.0000.0001.0000.0000.755
관내-관외0.0000.0000.0001.0000.614
납세자수0.0000.6600.7550.6141.000
2023-12-12T14:08:49.129997image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
과세년도납세자유형세목명관내-관외
과세년도1.0000.0000.0000.000
납세자유형0.0001.0000.0000.000
세목명0.0000.0001.0000.000
관내-관외0.0000.0000.0001.000
2023-12-12T14:08:49.290374image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
납세자수과세년도세목명납세자유형관내-관외
납세자수1.0000.0000.2560.5790.464
과세년도0.0001.0000.0000.0000.000
세목명0.2560.0001.0000.0000.000
납세자유형0.5790.0000.0001.0000.000
관내-관외0.4640.0000.0000.0001.000

Missing values

2023-12-12T14:08:45.841370image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T14:08:45.988322image/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
0경기도양주시416302017등록세개인N71
1경기도양주시416302017등록세개인Y73
2경기도양주시416302017등록세법인Y5
3경기도양주시416302017재산세개인N36355
4경기도양주시416302017재산세개인Y47347
5경기도양주시416302017재산세법인N928
6경기도양주시416302017재산세법인Y1809
7경기도양주시416302017주민세개인N16679
8경기도양주시416302017주민세개인Y70635
9경기도양주시416302017주민세법인N834
시도명시군구명자치단체코드과세년도세목명납세자유형관내-관외납세자수
163경기도양주시416302021등록면허세법인Y3771
164경기도양주시416302021지방소득세개인N10985
165경기도양주시416302021지방소득세개인Y44632
166경기도양주시416302021지방소득세법인N1450
167경기도양주시416302021지방소득세법인Y4219
168경기도양주시416302021지방소비세법인Y1
169경기도양주시416302021지역자원시설세개인N196
170경기도양주시416302021지역자원시설세개인Y280
171경기도양주시416302021지역자원시설세법인N49
172경기도양주시416302021지역자원시설세법인Y192