Overview

Dataset statistics

Number of variables8
Number of observations102
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory6.8 KiB
Average record size in memory68.3 B

Variable types

Categorical6
Boolean1
Numeric1

Dataset

Description세목별 납세 인원 현황을 제공합니다.관외 납세자에 대한 부과징수 정책 수립시 기초자료로 활용(과세년도, 세목명, 납세자 유형, 관내/관외, 납세자수 등의 데이터 제공)
Author인천광역시
URLhttps://data.incheon.go.kr/findData/publicDataDetail?dataId=15079748&srcSe=7661IVAWM27C61E190

Alerts

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

Reproduction

Analysis started2024-01-28 06:24:33.837865
Analysis finished2024-01-28 06:24:34.283798
Duration0.45 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시도명
Categorical

CONSTANT 

Distinct1
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size948.0 B
인천광역시
102 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
인천광역시 102
100.0%

Length

2024-01-28T15:24:34.328162image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-28T15:24:34.393391image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
인천광역시 102
100.0%

시군구명
Categorical

CONSTANT 

Distinct1
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size948.0 B
인천광역시
102 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
인천광역시 102
100.0%

Length

2024-01-28T15:24:34.461164image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-28T15:24:34.526989image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
인천광역시 102
100.0%

자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size948.0 B
28000
102 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row28000
2nd row28000
3rd row28000
4th row28000
5th row28000

Common Values

ValueCountFrequency (%)
28000 102
100.0%

Length

2024-01-28T15:24:34.628858image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-28T15:24:34.713752image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
28000 102
100.0%

과세년도
Categorical

Distinct4
Distinct (%)3.9%
Missing0
Missing (%)0.0%
Memory size948.0 B
2020
26 
2021
26 
2018
25 
2019
25 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2018
2nd row2018
3rd row2018
4th row2018
5th row2018

Common Values

ValueCountFrequency (%)
2020 26
25.5%
2021 26
25.5%
2018 25
24.5%
2019 25
24.5%

Length

2024-01-28T15:24:34.810780image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-28T15:24:34.903830image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2020 26
25.5%
2021 26
25.5%
2018 25
24.5%
2019 25
24.5%

세목명
Categorical

Distinct9
Distinct (%)8.8%
Missing0
Missing (%)0.0%
Memory size948.0 B
주민세
16 
취득세
16 
담배소비세
16 
등록면허세
16 
지방소득세
16 
Other values (4)
22 

Length

Max length7
Median length5
Mean length4.5686275
Min length3

Unique

Unique1 ?
Unique (%)1.0%

Sample

1st row주민세
2nd row주민세
3rd row주민세
4th row주민세
5th row취득세

Common Values

ValueCountFrequency (%)
주민세 16
15.7%
취득세 16
15.7%
담배소비세 16
15.7%
등록면허세 16
15.7%
지방소득세 16
15.7%
지역자원시설세 13
12.7%
자동차세 4
 
3.9%
지방소비세 4
 
3.9%
등록세 1
 
1.0%

Length

2024-01-28T15:24:35.023543image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-28T15:24:35.148618image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
주민세 16
15.7%
취득세 16
15.7%
담배소비세 16
15.7%
등록면허세 16
15.7%
지방소득세 16
15.7%
지역자원시설세 13
12.7%
자동차세 4
 
3.9%
지방소비세 4
 
3.9%
등록세 1
 
1.0%

납세자유형
Categorical

Distinct2
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size948.0 B
법인
53 
개인
49 

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 53
52.0%
개인 49
48.0%

Length

2024-01-28T15:24:35.282962image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-28T15:24:35.380456image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
법인 53
52.0%
개인 49
48.0%

관내_관외
Boolean

Distinct2
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size234.0 B
True
57 
False
45 
ValueCountFrequency (%)
True 57
55.9%
False 45
44.1%
2024-01-28T15:24:35.468775image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

납세자수
Real number (ℝ)

Distinct72
Distinct (%)70.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5764.9216
Minimum1
Maximum141916
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2024-01-28T15:24:35.579582image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q18
median38
Q3852.75
95-th percentile14450.25
Maximum141916
Range141915
Interquartile range (IQR)844.75

Descriptive statistics

Standard deviation23086.137
Coefficient of variation (CV)4.0045882
Kurtosis23.058221
Mean5764.9216
Median Absolute Deviation (MAD)37
Skewness4.8595493
Sum588022
Variance5.3296971 × 108
MonotonicityNot monotonic
2024-01-28T15:24:35.698037image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 12
 
11.8%
3 3
 
2.9%
31 3
 
2.9%
29 3
 
2.9%
8 3
 
2.9%
12 3
 
2.9%
7 3
 
2.9%
6 2
 
2.0%
5 2
 
2.0%
25 2
 
2.0%
Other values (62) 66
64.7%
ValueCountFrequency (%)
1 12
11.8%
2 1
 
1.0%
3 3
 
2.9%
4 1
 
1.0%
5 2
 
2.0%
6 2
 
2.0%
7 3
 
2.9%
8 3
 
2.9%
11 1
 
1.0%
12 3
 
2.9%
ValueCountFrequency (%)
141916 1
1.0%
122494 1
1.0%
108388 1
1.0%
96118 1
1.0%
14594 1
1.0%
14458 1
1.0%
14303 1
1.0%
13904 1
1.0%
10956 1
1.0%
5121 1
1.0%

Interactions

2024-01-28T15:24:34.038050image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-01-28T15:24:35.804015image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
과세년도세목명납세자유형관내_관외납세자수
과세년도1.0000.0000.0000.0000.000
세목명0.0001.0000.1290.0650.000
납세자유형0.0000.1291.0000.0000.250
관내_관외0.0000.0650.0001.0000.136
납세자수0.0000.0000.2500.1361.000
2024-01-28T15:24:35.888032image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
세목명납세자유형과세년도관내_관외
세목명1.0000.1210.0000.056
납세자유형0.1211.0000.0000.000
과세년도0.0000.0001.0000.000
관내_관외0.0560.0000.0001.000
2024-01-28T15:24:35.957916image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
납세자수과세년도세목명납세자유형관내_관외
납세자수1.0000.0000.0000.1750.094
과세년도0.0001.0000.0000.0000.000
세목명0.0000.0001.0000.1210.056
납세자유형0.1750.0000.1211.0000.000
관내_관외0.0940.0000.0560.0001.000

Missing values

2024-01-28T15:24:34.143960image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-01-28T15:24:34.249170image/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
0인천광역시인천광역시280002018주민세개인N10956
1인천광역시인천광역시280002018주민세개인Y141916
2인천광역시인천광역시280002018주민세법인N1372
3인천광역시인천광역시280002018주민세법인Y4379
4인천광역시인천광역시280002018취득세개인N72
5인천광역시인천광역시280002018취득세개인Y489
6인천광역시인천광역시280002018취득세법인N30
7인천광역시인천광역시280002018취득세법인Y48
8인천광역시인천광역시280002018자동차세법인Y1
9인천광역시인천광역시280002018담배소비세개인N2
시도명시군구명자치단체코드과세년도세목명납세자유형관내_관외납세자수
92인천광역시인천광역시280002021등록면허세법인Y26
93인천광역시인천광역시280002021지방소득세개인N600
94인천광역시인천광역시280002021지방소득세개인Y14594
95인천광역시인천광역시280002021지방소득세법인N929
96인천광역시인천광역시280002021지방소득세법인Y2135
97인천광역시인천광역시280002021지방소비세법인Y1
98인천광역시인천광역시280002021지역자원시설세개인N1
99인천광역시인천광역시280002021지역자원시설세개인Y31
100인천광역시인천광역시280002021지역자원시설세법인N1
101인천광역시인천광역시280002021지역자원시설세법인Y3