Overview

Dataset statistics

Number of variables8
Number of observations34
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.4 KiB
Average record size in memory70.9 B

Variable types

Categorical6
Boolean1
Numeric1

Dataset

Description부산광역시부산진구_지방세납세자현황_20211231
Author부산광역시 부산진구
URLhttp://data.busan.go.kr/dataSet/detail.nm?contentId=10&publicdatapk=15079274

Alerts

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

Reproduction

Analysis started2023-12-10 16:35:15.592057
Analysis finished2023-12-10 16:35:16.096331
Duration0.5 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시도명
Categorical

CONSTANT 

Distinct1
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size404.0 B
부산광역시
34 

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 34
100.0%

Length

2023-12-11T01:35:16.207465image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T01:35:16.385995image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
부산광역시 34
100.0%

시군구명
Categorical

CONSTANT 

Distinct1
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size404.0 B
부산진구
34 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
부산진구 34
100.0%

Length

2023-12-11T01:35:16.482493image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T01:35:16.640162image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
부산진구 34
100.0%

자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size404.0 B
26230
34 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row26230
2nd row26230
3rd row26230
4th row26230
5th row26230

Common Values

ValueCountFrequency (%)
26230 34
100.0%

Length

2023-12-11T01:35:16.760634image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T01:35:16.909084image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
26230 34
100.0%

과세년도
Categorical

CONSTANT 

Distinct1
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size404.0 B
2021
34 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2021
2nd row2021
3rd row2021
4th row2021
5th row2021

Common Values

ValueCountFrequency (%)
2021 34
100.0%

Length

2023-12-11T01:35:17.032384image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T01:35:17.161539image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2021 34
100.0%

세목명
Categorical

Distinct10
Distinct (%)29.4%
Missing0
Missing (%)0.0%
Memory size404.0 B
등록세
4 
재산세
4 
주민세
4 
취득세
4 
자동차세
4 
Other values (5)
14 

Length

Max length7
Median length6
Mean length4.1176471
Min length3

Unique

Unique2 ?
Unique (%)5.9%

Sample

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

Common Values

ValueCountFrequency (%)
등록세 4
11.8%
재산세 4
11.8%
주민세 4
11.8%
취득세 4
11.8%
자동차세 4
11.8%
등록면허세 4
11.8%
지방소득세 4
11.8%
지역자원시설세 4
11.8%
레저세 1
 
2.9%
지방소비세 1
 
2.9%

Length

2023-12-11T01:35:17.316947image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T01:35:17.509428image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
등록세 4
11.8%
재산세 4
11.8%
주민세 4
11.8%
취득세 4
11.8%
자동차세 4
11.8%
등록면허세 4
11.8%
지방소득세 4
11.8%
지역자원시설세 4
11.8%
레저세 1
 
2.9%
지방소비세 1
 
2.9%

납세자유형
Categorical

Distinct2
Distinct (%)5.9%
Missing0
Missing (%)0.0%
Memory size404.0 B
법인
18 
개인
16 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
법인 18
52.9%
개인 16
47.1%

Length

2023-12-11T01:35:17.710929image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T01:35:17.849421image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
법인 18
52.9%
개인 16
47.1%

관내/관외
Boolean

Distinct2
Distinct (%)5.9%
Missing0
Missing (%)0.0%
Memory size166.0 B
False
17 
True
17 
ValueCountFrequency (%)
False 17
50.0%
True 17
50.0%
2023-12-11T01:35:17.978056image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

납세자수
Real number (ℝ)

Distinct33
Distinct (%)97.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean17063.5
Minimum1
Maximum137142
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size438.0 B
2023-12-11T01:35:18.119724image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1.65
Q193
median2358.5
Q315356
95-th percentile93890.95
Maximum137142
Range137141
Interquartile range (IQR)15263

Descriptive statistics

Standard deviation33031.461
Coefficient of variation (CV)1.9357964
Kurtosis5.60045
Mean17063.5
Median Absolute Deviation (MAD)2318.5
Skewness2.4469287
Sum580159
Variance1.0910774 × 109
MonotonicityNot monotonic
2023-12-11T01:35:18.290867image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=33)
ValueCountFrequency (%)
1 2
 
5.9%
85 1
 
2.9%
58547 1
 
2.9%
2510 1
 
2.9%
21308 1
 
2.9%
31648 1
 
2.9%
3073 1
 
2.9%
3484 1
 
2.9%
17593 1
 
2.9%
2025 1
 
2.9%
Other values (23) 23
67.6%
ValueCountFrequency (%)
1 2
5.9%
2 1
2.9%
3 1
2.9%
15 1
2.9%
65 1
2.9%
69 1
2.9%
77 1
2.9%
85 1
2.9%
117 1
2.9%
280 1
2.9%
ValueCountFrequency (%)
137142 1
2.9%
100051 1
2.9%
90574 1
2.9%
58547 1
2.9%
55643 1
2.9%
31648 1
2.9%
21308 1
2.9%
17593 1
2.9%
16809 1
2.9%
10997 1
2.9%

Interactions

2023-12-11T01:35:15.775530image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T01:35:18.416572image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
세목명납세자유형관내/관외납세자수
세목명1.0000.0000.0000.000
납세자유형0.0001.0000.0000.491
관내/관외0.0000.0001.0000.180
납세자수0.0000.4910.1801.000
2023-12-11T01:35:18.557975image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
납세자유형세목명관내/관외
납세자유형1.0000.0000.000
세목명0.0001.0000.000
관내/관외0.0000.0001.000
2023-12-11T01:35:18.661329image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
납세자수세목명납세자유형관내/관외
납세자수1.0000.0000.4800.161
세목명0.0001.0000.0000.000
납세자유형0.4800.0001.0000.000
관내/관외0.1610.0000.0001.000

Missing values

2023-12-11T01:35:15.901476image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T01:35:16.039244image/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
0부산광역시부산진구262302021등록세개인N85
1부산광역시부산진구262302021등록세개인Y65
2부산광역시부산진구262302021등록세법인N2
3부산광역시부산진구262302021등록세법인Y1
4부산광역시부산진구262302021레저세법인N3
5부산광역시부산진구262302021재산세개인N55643
6부산광역시부산진구262302021재산세개인Y100051
7부산광역시부산진구262302021재산세법인N1178
8부산광역시부산진구262302021재산세법인Y1038
9부산광역시부산진구262302021주민세개인N16809
시도명시군구명자치단체코드과세년도세목명납세자유형관내/관외납세자수
24부산광역시부산진구262302021등록면허세법인Y3484
25부산광역시부산진구262302021지방소득세개인N17593
26부산광역시부산진구262302021지방소득세개인Y58547
27부산광역시부산진구262302021지방소득세법인N2025
28부산광역시부산진구262302021지방소득세법인Y3440
29부산광역시부산진구262302021지방소비세법인Y1
30부산광역시부산진구262302021지역자원시설세개인N69
31부산광역시부산진구262302021지역자원시설세개인Y117
32부산광역시부산진구262302021지역자원시설세법인N15
33부산광역시부산진구262302021지역자원시설세법인Y77