Overview

Dataset statistics

Number of variables9
Number of observations34
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.6 KiB
Average record size in memory78.9 B

Variable types

Categorical6
Boolean1
Numeric1
DateTime1

Dataset

Description세목별(취득세, 재산세, 자동차세, 담배소비세, 지방소득세,등록면허세,지역자원시설세,주민세,재산세 )납세 인원에 현황을 제공
Author경상북도 청송군
URLhttps://www.data.go.kr/data/15078267/fileData.do

Alerts

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

Reproduction

Analysis started2024-05-04 08:28:08.955085
Analysis finished2024-05-04 08:28:10.598228
Duration1.64 second
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
경상북도
34 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
경상북도 34
100.0%

Length

2024-05-04T08:28:10.818874image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T08:28:11.143571image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
경상북도 34
100.0%

시군구명
Categorical

CONSTANT 

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

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
청송군 34
100.0%

Length

2024-05-04T08:28:11.501451image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T08:28:11.828417image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
청송군 34
100.0%

자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size404.0 B
47750
34 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row47750
2nd row47750
3rd row47750
4th row47750
5th row47750

Common Values

ValueCountFrequency (%)
47750 34
100.0%

Length

2024-05-04T08:28:12.158196image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T08:28:12.456557image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
47750 34
100.0%

과세년도
Categorical

CONSTANT 

Distinct1
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size404.0 B
2022
34 

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 34
100.0%

Length

2024-05-04T08:28:12.798386image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T08:28:13.118974image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2022 34
100.0%

세목명
Categorical

Distinct11
Distinct (%)32.4%
Missing0
Missing (%)0.0%
Memory size404.0 B
재산세
4 
주민세
4 
취득세
4 
자동차세
4 
등록면허세
4 
Other values (6)
14 

Length

Max length7
Median length6
Mean length4
Min length3

Unique

Unique1 ?
Unique (%)2.9%

Sample

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

Common Values

ValueCountFrequency (%)
재산세 4
11.8%
주민세 4
11.8%
취득세 4
11.8%
자동차세 4
11.8%
등록면허세 4
11.8%
지방소득세 4
11.8%
등록세 3
8.8%
레저세 2
5.9%
담배소비세 2
5.9%
지역자원시설세 2
5.9%

Length

2024-05-04T08:28:13.515890image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
재산세 4
11.8%
주민세 4
11.8%
취득세 4
11.8%
자동차세 4
11.8%
등록면허세 4
11.8%
지방소득세 4
11.8%
등록세 3
8.8%
레저세 2
5.9%
담배소비세 2
5.9%
지역자원시설세 2
5.9%

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 row개인
5th row법인

Common Values

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

Length

2024-05-04T08:28:13.947176image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T08:28:14.286184image/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
18 
True
16 
ValueCountFrequency (%)
False 18
52.9%
True 16
47.1%
2024-05-04T08:28:14.576505image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

납세자수
Real number (ℝ)

Distinct30
Distinct (%)88.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2454.0588
Minimum1
Maximum24009
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size438.0 B
2024-05-04T08:28:14.994816image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q158
median390
Q31240.75
95-th percentile13715.05
Maximum24009
Range24008
Interquartile range (IQR)1182.75

Descriptive statistics

Standard deviation5299.7052
Coefficient of variation (CV)2.1595673
Kurtosis8.8468065
Mean2454.0588
Median Absolute Deviation (MAD)387
Skewness2.9498748
Sum83438
Variance28086875
MonotonicityNot monotonic
2024-05-04T08:28:15.607278image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
1 3
 
8.8%
3 3
 
8.8%
272 1
 
2.9%
694 1
 
2.9%
417 1
 
2.9%
182 1
 
2.9%
3605 1
 
2.9%
642 1
 
2.9%
462 1
 
2.9%
363 1
 
2.9%
Other values (20) 20
58.8%
ValueCountFrequency (%)
1 3
8.8%
3 3
8.8%
6 1
 
2.9%
38 1
 
2.9%
49 1
 
2.9%
85 1
 
2.9%
115 1
 
2.9%
126 1
 
2.9%
182 1
 
2.9%
269 1
 
2.9%
ValueCountFrequency (%)
24009 1
2.9%
16083 1
2.9%
12440 1
2.9%
9538 1
2.9%
4393 1
2.9%
3605 1
2.9%
3129 1
2.9%
1496 1
2.9%
1317 1
2.9%
1012 1
2.9%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size404.0 B
Minimum2022-12-31 00:00:00
Maximum2022-12-31 00:00:00
2024-05-04T08:28:16.069974image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-04T08:28:16.439698image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2024-05-04T08:28:09.379630image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-05-04T08:28:16.658553image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
세목명납세자유형관내-관외납세자수
세목명1.0000.0000.0000.000
납세자유형0.0001.0000.0000.568
관내-관외0.0000.0001.0000.496
납세자수0.0000.5680.4961.000
2024-05-04T08:28:17.019357image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
세목명납세자유형관내-관외
세목명1.0000.0000.000
납세자유형0.0001.0000.000
관내-관외0.0000.0001.000
2024-05-04T08:28:17.285713image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
납세자수세목명납세자유형관내-관외
납세자수1.0000.0000.3800.329
세목명0.0001.0000.0000.000
납세자유형0.3800.0001.0000.000
관내-관외0.3290.0000.0001.000

Missing values

2024-05-04T08:28:09.842321image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-05-04T08:28:10.427134image/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-관외납세자수데이터기준일자
0경상북도청송군477502022등록세개인N2722022-12-31
1경상북도청송군477502022등록세개인Y2692022-12-31
2경상북도청송군477502022등록세법인Y62022-12-31
3경상북도청송군477502022레저세개인N12022-12-31
4경상북도청송군477502022레저세법인N32022-12-31
5경상북도청송군477502022재산세개인N240092022-12-31
6경상북도청송군477502022재산세개인Y160832022-12-31
7경상북도청송군477502022재산세법인N10122022-12-31
8경상북도청송군477502022재산세법인Y9392022-12-31
9경상북도청송군477502022주민세개인N5702022-12-31
시도명시군구명자치단체코드과세년도세목명납세자유형관내-관외납세자수데이터기준일자
24경상북도청송군477502022등록면허세개인Y43932022-12-31
25경상북도청송군477502022등록면허세법인N3632022-12-31
26경상북도청송군477502022등록면허세법인Y4622022-12-31
27경상북도청송군477502022지방소득세개인N6422022-12-31
28경상북도청송군477502022지방소득세개인Y36052022-12-31
29경상북도청송군477502022지방소득세법인N1822022-12-31
30경상북도청송군477502022지방소득세법인Y4172022-12-31
31경상북도청송군477502022지방소비세법인Y12022-12-31
32경상북도청송군477502022지역자원시설세법인N32022-12-31
33경상북도청송군477502022지역자원시설세법인Y12022-12-31