Overview

Dataset statistics

Number of variables8
Number of observations174
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory11.5 KiB
Average record size in memory67.8 B

Variable types

Categorical5
Numeric2
Boolean1

Dataset

Description부산광역시 동래구 지방세 납세자 현황(2017년~2022년)에 대한 데이터로 자치단체코드, 과세연도, 세목명, 납세자 유형, 관내관외 여부, 납세자수 등에 대한 항목을 제공합니다.
URLhttps://www.data.go.kr/data/15087055/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 22:07:00.596511
Analysis finished2023-12-12 22:07:01.309027
Duration0.71 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시도명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
부산광역시
174 

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 174
100.0%

Length

2023-12-13T07:07:01.367776image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T07:07:01.458513image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
부산광역시 174
100.0%

시군구명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
동래구
174 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
동래구 174
100.0%

Length

2023-12-13T07:07:01.594560image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T07:07:01.738390image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
동래구 174
100.0%

자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
26260
174 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row26260
2nd row26260
3rd row26260
4th row26260
5th row26260

Common Values

ValueCountFrequency (%)
26260 174
100.0%

Length

2023-12-13T07:07:01.827721image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T07:07:01.928941image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
26260 174
100.0%

과세년도
Real number (ℝ)

Distinct6
Distinct (%)3.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2019.5517
Minimum2017
Maximum2022
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.7 KiB
2023-12-13T07:07:02.012527image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2017
5-th percentile2017
Q12018
median2020
Q32021
95-th percentile2022
Maximum2022
Range5
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.7187078
Coefficient of variation (CV)0.00085103431
Kurtosis-1.2732534
Mean2019.5517
Median Absolute Deviation (MAD)1.5
Skewness-0.033485085
Sum351402
Variance2.9539565
MonotonicityIncreasing
2023-12-13T07:07:02.113368image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
2022 31
17.8%
2019 29
16.7%
2020 29
16.7%
2021 29
16.7%
2017 28
16.1%
2018 28
16.1%
ValueCountFrequency (%)
2017 28
16.1%
2018 28
16.1%
2019 29
16.7%
2020 29
16.7%
2021 29
16.7%
2022 31
17.8%
ValueCountFrequency (%)
2022 31
17.8%
2021 29
16.7%
2020 29
16.7%
2019 29
16.7%
2018 28
16.1%
2017 28
16.1%

세목명
Categorical

Distinct10
Distinct (%)5.7%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
재산세
24 
주민세
24 
취득세
24 
자동차세
24 
등록면허세
24 
Other values (5)
54 

Length

Max length7
Median length5
Mean length4.2758621
Min length3

Unique

Unique1 ?
Unique (%)0.6%

Sample

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

Common Values

ValueCountFrequency (%)
재산세 24
13.8%
주민세 24
13.8%
취득세 24
13.8%
자동차세 24
13.8%
등록면허세 24
13.8%
지방소득세 24
13.8%
지역자원시설세 24
13.8%
지방소비세 3
 
1.7%
레저세 2
 
1.1%
등록세 1
 
0.6%

Length

2023-12-13T07:07:02.259341image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T07:07:02.412621image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
재산세 24
13.8%
주민세 24
13.8%
취득세 24
13.8%
자동차세 24
13.8%
등록면허세 24
13.8%
지방소득세 24
13.8%
지역자원시설세 24
13.8%
지방소비세 3
 
1.7%
레저세 2
 
1.1%
등록세 1
 
0.6%

납세자유형
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
법인
89 
개인
85 

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 89
51.1%
개인 85
48.9%

Length

2023-12-13T07:07:02.546657image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T07:07:02.657992image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
법인 89
51.1%
개인 85
48.9%

관내-관외
Boolean

Distinct2
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size306.0 B
False
87 
True
87 
ValueCountFrequency (%)
False 87
50.0%
True 87
50.0%
2023-12-13T07:07:02.762651image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

납세자수
Real number (ℝ)

HIGH CORRELATION 

Distinct167
Distinct (%)96.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean13948.862
Minimum1
Maximum101396
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.7 KiB
2023-12-13T07:07:02.915478image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile7.3
Q1352
median2072
Q314245.75
95-th percentile74384.85
Maximum101396
Range101395
Interquartile range (IQR)13893.75

Descriptive statistics

Standard deviation24213.041
Coefficient of variation (CV)1.7358434
Kurtosis3.5394918
Mean13948.862
Median Absolute Deviation (MAD)2033.5
Skewness2.1200246
Sum2427102
Variance5.8627133 × 108
MonotonicityNot monotonic
2023-12-13T07:07:03.090519image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 5
 
2.9%
4 2
 
1.1%
15 2
 
1.1%
290 2
 
1.1%
31248 1
 
0.6%
902 1
 
0.6%
38 1
 
0.6%
111 1
 
0.6%
6 1
 
0.6%
32234 1
 
0.6%
Other values (157) 157
90.2%
ValueCountFrequency (%)
1 5
2.9%
3 1
 
0.6%
4 2
 
1.1%
6 1
 
0.6%
8 1
 
0.6%
9 1
 
0.6%
10 1
 
0.6%
15 2
 
1.1%
16 1
 
0.6%
17 1
 
0.6%
ValueCountFrequency (%)
101396 1
0.6%
97305 1
0.6%
93638 1
0.6%
91743 1
0.6%
90365 1
0.6%
85819 1
0.6%
81239 1
0.6%
77200 1
0.6%
76654 1
0.6%
73163 1
0.6%

Interactions

2023-12-13T07:07:00.969943image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:07:00.821772image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:07:01.046896image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:07:00.892933image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T07:07:03.201713image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
과세년도세목명납세자유형관내-관외납세자수
과세년도1.0000.0000.0000.0000.000
세목명0.0001.0000.0000.0000.577
납세자유형0.0000.0001.0000.0000.843
관내-관외0.0000.0000.0001.0000.509
납세자수0.0000.5770.8430.5091.000
2023-12-13T07:07:03.336725image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
관내-관외납세자유형세목명
관내-관외1.0000.0000.000
납세자유형0.0001.0000.000
세목명0.0000.0001.000
2023-12-13T07:07:03.462680image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
과세년도납세자수세목명납세자유형관내-관외
과세년도1.000-0.0360.0000.0000.000
납세자수-0.0361.0000.2090.6590.382
세목명0.0000.2091.0000.0000.000
납세자유형0.0000.6590.0001.0000.000
관내-관외0.0000.3820.0000.0001.000

Missing values

2023-12-13T07:07:01.158351image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T07:07:01.268436image/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
0부산광역시동래구262602017재산세개인N31248
1부산광역시동래구262602017재산세개인Y64963
2부산광역시동래구262602017재산세법인N471
3부산광역시동래구262602017재산세법인Y556
4부산광역시동래구262602017주민세개인N25564
5부산광역시동래구262602017주민세개인Y85819
6부산광역시동래구262602017주민세법인N880
7부산광역시동래구262602017주민세법인Y2479
8부산광역시동래구262602017취득세개인N3733
9부산광역시동래구262602017취득세개인Y6777
시도명시군구명자치단체코드과세년도세목명납세자유형관내-관외납세자수
164부산광역시동래구262602022등록면허세법인Y2069
165부산광역시동래구262602022지방소득세개인N14535
166부산광역시동래구262602022지방소득세개인Y54618
167부산광역시동래구262602022지방소득세법인N1105
168부산광역시동래구262602022지방소득세법인Y2361
169부산광역시동래구262602022지방소비세법인Y1
170부산광역시동래구262602022지역자원시설세개인N32
171부산광역시동래구262602022지역자원시설세개인Y112
172부산광역시동래구262602022지역자원시설세법인N4
173부산광역시동래구262602022지역자원시설세법인Y17