Overview

Dataset statistics

Number of variables8
Number of observations93
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory6.2 KiB
Average record size in memory68.4 B

Variable types

Categorical6
Boolean1
Numeric1

Dataset

Description2017년부터 2022년까지 서천군 지방세 세목별 납세자유형(개인, 법인을 구분함), 관내/관외 구분, 납세자수에 대한 과세자료를 제공합니다.
Author충청남도
URLhttps://alldam.chungnam.go.kr/index.chungnam?menuCd=DOM_000000201001001001&st=&cds=&orgCd=&apiType=&isOpen=Y&pageIndex=347&beforeMenuCd=DOM_000000201001001000&publicdatapk=15080476

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 started2024-01-09 21:30:25.851806
Analysis finished2024-01-09 21:30:26.312507
Duration0.46 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시도명
Categorical

CONSTANT 

Distinct1
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size876.0 B
충청남도
93 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
충청남도 93
100.0%

Length

2024-01-10T06:30:26.371403image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T06:30:26.451818image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
충청남도 93
100.0%

시군구명
Categorical

CONSTANT 

Distinct1
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size876.0 B
서천군
93 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
서천군 93
100.0%

Length

2024-01-10T06:30:26.523482image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T06:30:26.594514image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
서천군 93
100.0%

자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size876.0 B
44770
93 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row44770
2nd row44770
3rd row44770
4th row44770
5th row44770

Common Values

ValueCountFrequency (%)
44770 93
100.0%

Length

2024-01-10T06:30:26.667469image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T06:30:26.730668image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
44770 93
100.0%

과세년도
Categorical

Distinct3
Distinct (%)3.2%
Missing0
Missing (%)0.0%
Memory size876.0 B
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 (%)
2017 31
33.3%
2018 31
33.3%
2019 31
33.3%

Length

2024-01-10T06:30:26.799348image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T06:30:26.868142image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2017 31
33.3%
2018 31
33.3%
2019 31
33.3%

세목명
Categorical

Distinct9
Distinct (%)9.7%
Missing0
Missing (%)0.0%
Memory size876.0 B
재산세
12 
주민세
12 
취득세
12 
자동차세
12 
등록면허세
12 
Other values (4)
33 

Length

Max length7
Median length3
Mean length3.8817204
Min length3

Unique

Unique1 ?
Unique (%)1.1%

Sample

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

Common Values

ValueCountFrequency (%)
재산세 12
12.9%
주민세 12
12.9%
취득세 12
12.9%
자동차세 12
12.9%
등록면허세 12
12.9%
지방소득세 12
12.9%
등록세 11
11.8%
담배소비세 9
9.7%
지역자원시설세 1
 
1.1%

Length

2024-01-10T06:30:26.953901image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T06:30:27.047992image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
재산세 12
12.9%
주민세 12
12.9%
취득세 12
12.9%
자동차세 12
12.9%
등록면허세 12
12.9%
지방소득세 12
12.9%
등록세 11
11.8%
담배소비세 9
9.7%
지역자원시설세 1
 
1.1%

납세자유형
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Memory size876.0 B
법인
48 
개인
45 

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 48
51.6%
개인 45
48.4%

Length

2024-01-10T06:30:27.154464image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T06:30:27.226592image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
법인 48
51.6%
개인 45
48.4%

관내/관외
Boolean

Distinct2
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Memory size225.0 B
False
48 
True
45 
ValueCountFrequency (%)
False 48
51.6%
True 45
48.4%
2024-01-10T06:30:27.289963image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

납세자수
Real number (ℝ)

HIGH CORRELATION 

Distinct85
Distinct (%)91.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4503.0538
Minimum1
Maximum36498
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size969.0 B
2024-01-10T06:30:27.378947image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1.6
Q1140
median662
Q32668
95-th percentile24905.4
Maximum36498
Range36497
Interquartile range (IQR)2528

Descriptive statistics

Standard deviation8720.313
Coefficient of variation (CV)1.9365332
Kurtosis4.9980852
Mean4503.0538
Median Absolute Deviation (MAD)656
Skewness2.4115213
Sum418784
Variance76043859
MonotonicityNot monotonic
2024-01-10T06:30:27.492723image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 5
 
5.4%
707 2
 
2.2%
6 2
 
2.2%
9 2
 
2.2%
3 2
 
2.2%
24873 1
 
1.1%
36498 1
 
1.1%
2 1
 
1.1%
139 1
 
1.1%
133 1
 
1.1%
Other values (75) 75
80.6%
ValueCountFrequency (%)
1 5
5.4%
2 1
 
1.1%
3 2
 
2.2%
4 1
 
1.1%
6 2
 
2.2%
7 1
 
1.1%
8 1
 
1.1%
9 2
 
2.2%
41 1
 
1.1%
45 1
 
1.1%
ValueCountFrequency (%)
36498 1
1.1%
36105 1
1.1%
35556 1
1.1%
25087 1
1.1%
24954 1
1.1%
24873 1
1.1%
24775 1
1.1%
24121 1
1.1%
23811 1
1.1%
16728 1
1.1%

Interactions

2024-01-10T06:30:26.055125image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-01-10T06:30:27.566644image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
과세년도세목명납세자유형관내/관외납세자수
과세년도1.0000.0000.0000.0000.000
세목명0.0001.0000.0000.0000.625
납세자유형0.0000.0001.0000.0000.708
관내/관외0.0000.0000.0001.0000.659
납세자수0.0000.6250.7080.6591.000
2024-01-10T06:30:27.645772image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
과세년도세목명관내/관외납세자유형
과세년도1.0000.0000.0000.000
세목명0.0001.0000.0000.000
관내/관외0.0000.0001.0000.000
납세자유형0.0000.0000.0001.000
2024-01-10T06:30:27.719876image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
납세자수과세년도세목명납세자유형관내/관외
납세자수1.0000.0000.3610.5090.471
과세년도0.0001.0000.0000.0000.000
세목명0.3610.0001.0000.0000.000
납세자유형0.5090.0000.0001.0000.000
관내/관외0.4710.0000.0000.0001.000

Missing values

2024-01-10T06:30:26.146404image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-01-10T06:30:26.264888image/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
0충청남도서천군447702017등록세개인N156
1충청남도서천군447702017등록세개인Y148
2충청남도서천군447702017등록세법인Y4
3충청남도서천군447702017재산세개인N35556
4충청남도서천군447702017재산세개인Y24954
5충청남도서천군447702017재산세법인N645
6충청남도서천군447702017재산세법인Y2580
7충청남도서천군447702017주민세개인N2510
8충청남도서천군447702017주민세개인Y23811
9충청남도서천군447702017주민세법인N140
시도명시군구명자치단체코드과세년도세목명납세자유형관내/관외납세자수
83충청남도서천군447702019담배소비세법인N9
84충청남도서천군447702019담배소비세법인Y1
85충청남도서천군447702019등록면허세개인N2668
86충청남도서천군447702019등록면허세개인Y10034
87충청남도서천군447702019등록면허세법인N662
88충청남도서천군447702019등록면허세법인Y707
89충청남도서천군447702019지방소득세개인N790
90충청남도서천군447702019지방소득세개인Y5577
91충청남도서천군447702019지방소득세법인N262
92충청남도서천군447702019지방소득세법인Y744