Overview

Dataset statistics

Number of variables8
Number of observations24
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.7 KiB
Average record size in memory73.3 B

Variable types

Numeric2
Categorical5
Boolean1

Dataset

Description부산광역시 세목별(등록면허세, 지방소득세, 등록세, 주민세, 취득세, 자동차세 등) 납세자 유형(법인, 개인)에 따른 인원 현황(관내/관외)을 제공하는 자료임(2021년)
Author부산광역시
URLhttps://www.data.go.kr/data/15079372/fileData.do

Alerts

시도명 has constant value ""Constant
자치단체코드 has constant value ""Constant
과세년도 has constant value ""Constant
연번 is highly overall correlated with 세목명High correlation
세목명 is highly overall correlated with 연번High correlation
연번 has unique valuesUnique

Reproduction

Analysis started2024-03-14 18:54:14.538722
Analysis finished2024-03-14 18:54:16.337078
Duration1.8 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct24
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12.5
Minimum1
Maximum24
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size344.0 B
2024-03-15T03:54:16.528429image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2.15
Q16.75
median12.5
Q318.25
95-th percentile22.85
Maximum24
Range23
Interquartile range (IQR)11.5

Descriptive statistics

Standard deviation7.0710678
Coefficient of variation (CV)0.56568542
Kurtosis-1.2
Mean12.5
Median Absolute Deviation (MAD)6
Skewness0
Sum300
Variance50
MonotonicityStrictly increasing
2024-03-15T03:54:16.781396image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
1 1
 
4.2%
14 1
 
4.2%
24 1
 
4.2%
23 1
 
4.2%
22 1
 
4.2%
21 1
 
4.2%
20 1
 
4.2%
19 1
 
4.2%
18 1
 
4.2%
17 1
 
4.2%
Other values (14) 14
58.3%
ValueCountFrequency (%)
1 1
4.2%
2 1
4.2%
3 1
4.2%
4 1
4.2%
5 1
4.2%
6 1
4.2%
7 1
4.2%
8 1
4.2%
9 1
4.2%
10 1
4.2%
ValueCountFrequency (%)
24 1
4.2%
23 1
4.2%
22 1
4.2%
21 1
4.2%
20 1
4.2%
19 1
4.2%
18 1
4.2%
17 1
4.2%
16 1
4.2%
15 1
4.2%

시도명
Categorical

CONSTANT 

Distinct1
Distinct (%)4.2%
Missing0
Missing (%)0.0%
Memory size320.0 B
부산광역시
24 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
부산광역시 24
100.0%

Length

2024-03-15T03:54:17.064981image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T03:54:17.359957image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
부산광역시 24
100.0%

자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)4.2%
Missing0
Missing (%)0.0%
Memory size320.0 B
26000
24 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row26000
2nd row26000
3rd row26000
4th row26000
5th row26000

Common Values

ValueCountFrequency (%)
26000 24
100.0%

Length

2024-03-15T03:54:17.699201image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T03:54:17.901014image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
26000 24
100.0%

과세년도
Categorical

CONSTANT 

Distinct1
Distinct (%)4.2%
Missing0
Missing (%)0.0%
Memory size320.0 B
2022
24 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2022
2nd row2022
3rd row2022
4th row2022
5th row2022

Common Values

ValueCountFrequency (%)
2022 24
100.0%

Length

2024-03-15T03:54:18.107910image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T03:54:18.399241image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2022 24
100.0%

세목명
Categorical

HIGH CORRELATION 

Distinct8
Distinct (%)33.3%
Missing0
Missing (%)0.0%
Memory size320.0 B
취득세
4 
자동차세
4 
담배소비세
4 
지방소득세
4 
주민세
3 
Other values (3)
5 

Length

Max length5
Median length4.5
Mean length4.1666667
Min length3

Unique

Unique2 ?
Unique (%)8.3%

Sample

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

Common Values

ValueCountFrequency (%)
취득세 4
16.7%
자동차세 4
16.7%
담배소비세 4
16.7%
지방소득세 4
16.7%
주민세 3
12.5%
등록면허세 3
12.5%
등록세 1
 
4.2%
지방소비세 1
 
4.2%

Length

2024-03-15T03:54:18.701783image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T03:54:19.011111image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
취득세 4
16.7%
자동차세 4
16.7%
담배소비세 4
16.7%
지방소득세 4
16.7%
주민세 3
12.5%
등록면허세 3
12.5%
등록세 1
 
4.2%
지방소비세 1
 
4.2%

납세자유형
Categorical

Distinct2
Distinct (%)8.3%
Missing0
Missing (%)0.0%
Memory size320.0 B
개인
13 
법인
11 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row개인
2nd row개인
3rd row개인
4th row법인
5th row개인

Common Values

ValueCountFrequency (%)
개인 13
54.2%
법인 11
45.8%

Length

2024-03-15T03:54:19.404857image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T03:54:19.709180image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
개인 13
54.2%
법인 11
45.8%

관내
Boolean

Distinct2
Distinct (%)8.3%
Missing0
Missing (%)0.0%
Memory size152.0 B
True
13 
False
11 
ValueCountFrequency (%)
True 13
54.2%
False 11
45.8%
2024-03-15T03:54:20.159889image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

납세자수
Real number (ℝ)

Distinct20
Distinct (%)83.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7030.5417
Minimum1
Maximum121581
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size344.0 B
2024-03-15T03:54:20.322160image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12.75
median32
Q3129.75
95-th percentile32127.65
Maximum121581
Range121580
Interquartile range (IQR)127

Descriptive statistics

Standard deviation25526.228
Coefficient of variation (CV)3.6307627
Kurtosis19.570352
Mean7030.5417
Median Absolute Deviation (MAD)31
Skewness4.3393343
Sum168733
Variance6.5158833 × 108
MonotonicityNot monotonic
2024-03-15T03:54:20.534882image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
1 4
 
16.7%
2 2
 
8.3%
43 1
 
4.2%
120 1
 
4.2%
49 1
 
4.2%
483 1
 
4.2%
44 1
 
4.2%
4 1
 
4.2%
6 1
 
4.2%
19 1
 
4.2%
Other values (10) 10
41.7%
ValueCountFrequency (%)
1 4
16.7%
2 2
8.3%
3 1
 
4.2%
4 1
 
4.2%
5 1
 
4.2%
6 1
 
4.2%
19 1
 
4.2%
21 1
 
4.2%
43 1
 
4.2%
44 1
 
4.2%
ValueCountFrequency (%)
121581 1
4.2%
36458 1
4.2%
7589 1
4.2%
1949 1
4.2%
483 1
4.2%
156 1
4.2%
121 1
4.2%
120 1
4.2%
74 1
4.2%
49 1
4.2%

Interactions

2024-03-15T03:54:15.200938image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T03:54:14.844656image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T03:54:15.407928image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T03:54:15.056546image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-15T03:54:20.740554image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번세목명납세자유형관내납세자수
연번1.0000.8410.6310.0000.561
세목명0.8411.0000.0000.0000.000
납세자유형0.6310.0001.0000.0000.000
관내0.0000.0000.0001.0000.022
납세자수0.5610.0000.0000.0221.000
2024-03-15T03:54:20.905584image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
관내납세자유형세목명
관내1.0000.0000.000
납세자유형0.0001.0000.000
세목명0.0000.0001.000
2024-03-15T03:54:21.079272image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번납세자수세목명납세자유형관내
연번1.000-0.1980.5600.3730.000
납세자수-0.1981.0000.0000.0000.000
세목명0.5600.0001.0000.0000.000
납세자유형0.3730.0000.0001.0000.000
관내0.0000.0000.0000.0001.000

Missing values

2024-03-15T03:54:15.755216image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-15T03:54:16.176226image/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

연번시도명자치단체코드과세년도세목명납세자유형관내납세자수
01부산광역시260002022등록세개인Y2
12부산광역시260002022주민세개인N5
23부산광역시260002022주민세개인Y156
34부산광역시260002022주민세법인N1
45부산광역시260002022취득세개인N36458
56부산광역시260002022취득세개인Y121581
67부산광역시260002022취득세법인N1949
78부산광역시260002022취득세법인Y7589
89부산광역시260002022자동차세개인N3
910부산광역시260002022자동차세개인Y121
연번시도명자치단체코드과세년도세목명납세자유형관내납세자수
1415부산광역시260002022담배소비세법인N2
1516부산광역시260002022담배소비세법인Y6
1617부산광역시260002022등록면허세개인N1
1718부산광역시260002022등록면허세개인Y4
1819부산광역시260002022등록면허세법인Y1
1920부산광역시260002022지방소득세개인N44
2021부산광역시260002022지방소득세개인Y483
2122부산광역시260002022지방소득세법인N49
2223부산광역시260002022지방소득세법인Y120
2324부산광역시260002022지방소비세법인Y1