Overview

Dataset statistics

Number of variables8
Number of observations159
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory10.5 KiB
Average record size in memory67.8 B

Variable types

Categorical6
Boolean1
Numeric1

Dataset

Description대전광역시 중구의 각 세목별로 납세자유형을 개인과 법인으로 나누어 관내/관외에 따른 지방세 납세자수의 현황을 확인할 수 있습니다.
URLhttps://www.data.go.kr/data/15078546/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 04:24:31.621251
Analysis finished2023-12-12 04:24:32.141646
Duration0.52 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
대전광역시
159 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
대전광역시 159
100.0%

Length

2023-12-12T13:24:32.199938image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T13:24:32.307779image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
대전광역시 159
100.0%

시군구명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
중구
159 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
중구 159
100.0%

Length

2023-12-12T13:24:32.399789image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T13:24:32.507219image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
중구 159
100.0%

자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
30140
159 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row30140
2nd row30140
3rd row30140
4th row30140
5th row30140

Common Values

ValueCountFrequency (%)
30140 159
100.0%

Length

2023-12-12T13:24:32.614510image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T13:24:32.746068image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
30140 159
100.0%

과세연도
Categorical

Distinct5
Distinct (%)3.1%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
2020
33 
2021
33 
2017
31 
2018
31 
2019
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 33
20.8%
2021 33
20.8%
2017 31
19.5%
2018 31
19.5%
2019 31
19.5%

Length

2023-12-12T13:24:32.864908image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T13:24:32.977596image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2020 33
20.8%
2021 33
20.8%
2017 31
19.5%
2018 31
19.5%
2019 31
19.5%

세목명
Categorical

Distinct9
Distinct (%)5.7%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
재산세
20 
주민세
20 
취득세
20 
자동차세
20 
등록면허세
20 
Other values (4)
59 

Length

Max length7
Median length5
Mean length4.1572327
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
재산세 20
12.6%
주민세 20
12.6%
취득세 20
12.6%
자동차세 20
12.6%
등록면허세 20
12.6%
지방소득세 20
12.6%
지역자원시설세 20
12.6%
등록세 17
10.7%
지방소비세 2
 
1.3%

Length

2023-12-12T13:24:33.133530image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T13:24:33.355745image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
재산세 20
12.6%
주민세 20
12.6%
취득세 20
12.6%
자동차세 20
12.6%
등록면허세 20
12.6%
지방소득세 20
12.6%
지역자원시설세 20
12.6%
등록세 17
10.7%
지방소비세 2
 
1.3%

납세자유형
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
개인
80 
법인
79 

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 80
50.3%
법인 79
49.7%

Length

2023-12-12T13:24:33.524932image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T13:24:33.639287image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
개인 80
50.3%
법인 79
49.7%

관내_관외
Boolean

Distinct2
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size291.0 B
False
80 
True
79 
ValueCountFrequency (%)
False 80
50.3%
True 79
49.7%
2023-12-12T13:24:33.743458image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

납세자수
Real number (ℝ)

HIGH CORRELATION 

Distinct144
Distinct (%)90.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11603.031
Minimum1
Maximum88678
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.5 KiB
2023-12-12T13:24:33.895728image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3.9
Q1116.5
median1893
Q312666
95-th percentile63504.9
Maximum88678
Range88677
Interquartile range (IQR)12549.5

Descriptive statistics

Standard deviation21055.054
Coefficient of variation (CV)1.8146167
Kurtosis4.3740122
Mean11603.031
Median Absolute Deviation (MAD)1842
Skewness2.2709346
Sum1844882
Variance4.433153 × 108
MonotonicityNot monotonic
2023-12-12T13:24:34.046051image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
46 4
 
2.5%
65 3
 
1.9%
3 3
 
1.9%
1 3
 
1.9%
1115 2
 
1.3%
2 2
 
1.3%
69 2
 
1.3%
29 2
 
1.3%
43 2
 
1.3%
57 2
 
1.3%
Other values (134) 134
84.3%
ValueCountFrequency (%)
1 3
1.9%
2 2
1.3%
3 3
1.9%
4 1
 
0.6%
23 1
 
0.6%
25 1
 
0.6%
28 1
 
0.6%
29 2
1.3%
35 1
 
0.6%
43 2
1.3%
ValueCountFrequency (%)
88678 1
0.6%
86708 1
0.6%
86658 1
0.6%
82709 1
0.6%
81779 1
0.6%
71150 1
0.6%
67400 1
0.6%
66969 1
0.6%
63120 1
0.6%
61973 1
0.6%

Interactions

2023-12-12T13:24:31.861575image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T13:24:34.146547image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
과세연도세목명납세자유형관내_관외납세자수
과세연도1.0000.0000.0000.0000.000
세목명0.0001.0000.0000.0000.702
납세자유형0.0000.0001.0000.0000.624
관내_관외0.0000.0000.0001.0000.400
납세자수0.0000.7020.6240.4001.000
2023-12-12T13:24:34.269034image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
세목명관내_관외납세자유형과세연도
세목명1.0000.0000.0000.000
관내_관외0.0001.0000.0000.000
납세자유형0.0000.0001.0000.000
과세연도0.0000.0000.0001.000
2023-12-12T13:24:34.379082image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
납세자수과세연도세목명납세자유형관내_관외
납세자수1.0000.0000.2920.6150.391
과세연도0.0001.0000.0000.0000.000
세목명0.2920.0001.0000.0000.000
납세자유형0.6150.0000.0001.0000.000
관내_관외0.3910.0000.0000.0001.000

Missing values

2023-12-12T13:24:31.969314image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T13:24:32.095189image/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

시도명시군구명자치단체코드과세연도세목명납세자유형관내_관외납세자수
0대전광역시중구301402017등록세개인N67
1대전광역시중구301402017등록세개인Y70
2대전광역시중구301402017등록세법인N4
3대전광역시중구301402017재산세개인N31383
4대전광역시중구301402017재산세개인Y57064
5대전광역시중구301402017재산세법인N574
6대전광역시중구301402017재산세법인Y738
7대전광역시중구301402017주민세개인N24863
8대전광역시중구301402017주민세개인Y81779
9대전광역시중구301402017주민세법인N951
시도명시군구명자치단체코드과세연도세목명납세자유형관내_관외납세자수
149대전광역시중구301402021등록면허세법인Y2211
150대전광역시중구301402021지방소득세개인N9984
151대전광역시중구301402021지방소득세개인Y36857
152대전광역시중구301402021지방소득세법인N1115
153대전광역시중구301402021지방소득세법인Y2354
154대전광역시중구301402021지방소비세법인Y1
155대전광역시중구301402021지역자원시설세개인N51
156대전광역시중구301402021지역자원시설세개인Y57
157대전광역시중구301402021지역자원시설세법인N29
158대전광역시중구301402021지역자원시설세법인Y46