Overview

Dataset statistics

Number of variables8
Number of observations163
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory10.8 KiB
Average record size in memory67.8 B

Variable types

Categorical6
Boolean1
Numeric1

Dataset

Description경상북도 군위군의 지방세를 납부하는 납세자 현황에 대한 데이터로 연도별 세목명, 납세자유형, 관내/관외 여부, 납세자수의 항목을 제공합니다.
Author경상북도 군위군
URLhttps://www.data.go.kr/data/15078314/fileData.do

Alerts

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

Reproduction

Analysis started2023-12-12 10:28:30.879454
Analysis finished2023-12-12 10:28:31.497007
Duration0.62 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시도명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
경상북도
163 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
경상북도 163
100.0%

Length

2023-12-12T19:28:31.571929image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T19:28:31.684047image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
경상북도 163
100.0%

시군구명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
군위군
163 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
군위군 163
100.0%

Length

2023-12-12T19:28:31.818064image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T19:28:31.929244image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
군위군 163
100.0%

자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
47720
163 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row47720
2nd row47720
3rd row47720
4th row47720
5th row47720

Common Values

ValueCountFrequency (%)
47720 163
100.0%

Length

2023-12-12T19:28:32.068691image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T19:28:32.221251image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
47720 163
100.0%

과세년도
Categorical

Distinct5
Distinct (%)3.1%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
2020
34 
2021
34 
2019
33 
2017
31 
2018
31 

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 34
20.9%
2021 34
20.9%
2019 33
20.2%
2017 31
19.0%
2018 31
19.0%

Length

2023-12-12T19:28:32.344016image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T19:28:32.459632image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2020 34
20.9%
2021 34
20.9%
2019 33
20.2%
2017 31
19.0%
2018 31
19.0%

세목명
Categorical

Distinct10
Distinct (%)6.1%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
등록세
20 
재산세
20 
주민세
20 
취득세
20 
자동차세
20 
Other values (5)
63 

Length

Max length7
Median length5
Mean length4.006135
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
등록세 20
12.3%
재산세 20
12.3%
주민세 20
12.3%
취득세 20
12.3%
자동차세 20
12.3%
등록면허세 20
12.3%
지방소득세 20
12.3%
담배소비세 12
7.4%
지역자원시설세 9
5.5%
지방소비세 2
 
1.2%

Length

2023-12-12T19:28:32.588016image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T19:28:32.729531image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
등록세 20
12.3%
재산세 20
12.3%
주민세 20
12.3%
취득세 20
12.3%
자동차세 20
12.3%
등록면허세 20
12.3%
지방소득세 20
12.3%
담배소비세 12
7.4%
지역자원시설세 9
5.5%
지방소비세 2
 
1.2%

납세자유형
Categorical

Distinct2
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
법인
85 
개인
78 

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 85
52.1%
개인 78
47.9%

Length

2023-12-12T19:28:32.873672image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T19:28:32.969978image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
법인 85
52.1%
개인 78
47.9%

관내/관외 여부
Boolean

Distinct2
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size295.0 B
True
86 
False
77 
ValueCountFrequency (%)
True 86
52.8%
False 77
47.2%
2023-12-12T19:28:33.061982image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

납세자수
Real number (ℝ)

Distinct135
Distinct (%)82.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2621.2515
Minimum1
Maximum27770
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2023-12-12T19:28:33.182803image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q1103
median503
Q32014.5
95-th percentile17694.2
Maximum27770
Range27769
Interquartile range (IQR)1911.5

Descriptive statistics

Standard deviation5686.522
Coefficient of variation (CV)2.1693919
Kurtosis9.0067257
Mean2621.2515
Median Absolute Deviation (MAD)498
Skewness3.0528798
Sum427264
Variance32336532
MonotonicityNot monotonic
2023-12-12T19:28:33.594224image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 15
 
9.2%
5 6
 
3.7%
2 4
 
2.5%
3 2
 
1.2%
4 2
 
1.2%
557 2
 
1.2%
503 2
 
1.2%
7 2
 
1.2%
2071 2
 
1.2%
848 1
 
0.6%
Other values (125) 125
76.7%
ValueCountFrequency (%)
1 15
9.2%
2 4
 
2.5%
3 2
 
1.2%
4 2
 
1.2%
5 6
 
3.7%
7 2
 
1.2%
29 1
 
0.6%
52 1
 
0.6%
60 1
 
0.6%
65 1
 
0.6%
ValueCountFrequency (%)
27770 1
0.6%
26884 1
0.6%
26612 1
0.6%
26115 1
0.6%
25530 1
0.6%
18020 1
0.6%
17868 1
0.6%
17813 1
0.6%
17699 1
0.6%
17651 1
0.6%

Interactions

2023-12-12T19:28:31.138426image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T19:28:33.710435image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
과세년도세목명납세자유형관내/관외 여부납세자수
과세년도1.0000.0000.0000.0000.000
세목명0.0001.0000.0000.1440.601
납세자유형0.0000.0001.0000.0000.403
관내/관외 여부0.0000.1440.0001.0000.342
납세자수0.0000.6010.4030.3421.000
2023-12-12T19:28:33.821918image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
세목명관내/관외 여부과세년도납세자유형
세목명1.0000.1060.0000.000
관내/관외 여부0.1061.0000.0000.000
과세년도0.0000.0001.0000.000
납세자유형0.0000.0000.0001.000
2023-12-12T19:28:33.928300image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
납세자수과세년도세목명납세자유형관내/관외 여부
납세자수1.0000.0000.3540.4250.360
과세년도0.0001.0000.0000.0000.000
세목명0.3540.0001.0000.0000.106
납세자유형0.4250.0000.0001.0000.000
관내/관외 여부0.3600.0000.1060.0001.000

Missing values

2023-12-12T19:28:31.273355image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T19:28:31.440976image/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/관외 여부납세자수
0경상북도군위군477202017등록세개인N187
1경상북도군위군477202017등록세개인Y107
2경상북도군위군477202017등록세법인N4
3경상북도군위군477202017등록세법인Y1
4경상북도군위군477202017재산세개인N25530
5경상북도군위군477202017재산세개인Y17651
6경상북도군위군477202017재산세법인N487
7경상북도군위군477202017재산세법인Y1096
8경상북도군위군477202017주민세개인N1537
9경상북도군위군477202017주민세개인Y11419
시도명시군구명자치단체코드과세년도세목명납세자유형관내/관외 여부납세자수
153경상북도군위군477202021등록면허세개인Y3723
154경상북도군위군477202021등록면허세법인N693
155경상북도군위군477202021등록면허세법인Y526
156경상북도군위군477202021지방소득세개인N581
157경상북도군위군477202021지방소득세개인Y3010
158경상북도군위군477202021지방소득세법인N191
159경상북도군위군477202021지방소득세법인Y525
160경상북도군위군477202021지방소비세법인Y1
161경상북도군위군477202021지역자원시설세개인Y1
162경상북도군위군477202021지역자원시설세법인Y5