Overview

Dataset statistics

Number of variables9
Number of observations217
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory16.0 KiB
Average record size in memory75.6 B

Variable types

Categorical5
Numeric2
Boolean1
DateTime1

Dataset

Description○ 세목별 납세 인원 현황을 제공(세목명, 납세자유형, 관내/관외, 납세자수)- 관외 납세자에 대한 부과징수 정책 수립시 기초자료로 활용
Author세종특별자치시
URLhttps://www.data.go.kr/data/15080307/fileData.do

Alerts

시도명 has constant value ""Constant
시군구명 has constant value ""Constant
자치단체코드 has constant value ""Constant
데이터기준일 has constant value ""Constant
납세자수 is highly overall correlated with 납세자유형High correlation
납세자유형 is highly overall correlated with 납세자수 High correlation

Reproduction

Analysis started2023-12-12 15:13:49.026638
Analysis finished2023-12-12 15:13:50.032154
Duration1.01 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시도명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
세종특별자치시
217 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
세종특별자치시 217
100.0%

Length

2023-12-13T00:13:50.103822image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T00:13:50.215805image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
세종특별자치시 217
100.0%

시군구명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
세종특별자치시
217 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
세종특별자치시 217
100.0%

Length

2023-12-13T00:13:50.331760image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T00:13:50.482833image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
세종특별자치시 217
100.0%

자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
36110
217 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row36110
2nd row36110
3rd row36110
4th row36110
5th row36110

Common Values

ValueCountFrequency (%)
36110 217
100.0%

Length

2023-12-13T00:13:50.583141image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T00:13:50.684090image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
36110 217
100.0%

과세년도
Real number (ℝ)

Distinct6
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2019.5346
Minimum2017
Maximum2022
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.0 KiB
2023-12-13T00:13:50.780033image/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 deviation1.7186218
Coefficient of variation (CV)0.00085099897
Kurtosis-1.269462
Mean2019.5346
Median Absolute Deviation (MAD)1
Skewness-0.026036578
Sum438239
Variance2.953661
MonotonicityIncreasing
2023-12-13T00:13:50.910048image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
2022 38
17.5%
2019 37
17.1%
2017 36
16.6%
2020 36
16.6%
2021 36
16.6%
2018 34
15.7%
ValueCountFrequency (%)
2017 36
16.6%
2018 34
15.7%
2019 37
17.1%
2020 36
16.6%
2021 36
16.6%
2022 38
17.5%
ValueCountFrequency (%)
2022 38
17.5%
2021 36
16.6%
2020 36
16.6%
2019 37
17.1%
2018 34
15.7%
2017 36
16.6%

세목명
Categorical

Distinct11
Distinct (%)5.1%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
재산세
24 
주민세
24 
취득세
24 
자동차세
24 
등록면허세
24 
Other values (6)
97 

Length

Max length7
Median length5
Mean length4.2165899
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
재산세 24
11.1%
주민세 24
11.1%
취득세 24
11.1%
자동차세 24
11.1%
등록면허세 24
11.1%
지방소득세 24
11.1%
지역자원시설세 24
11.1%
등록세 23
10.6%
담배소비세 18
8.3%
지방소비세 6
 
2.8%

Length

2023-12-13T00:13:51.078311image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
재산세 24
11.1%
주민세 24
11.1%
취득세 24
11.1%
자동차세 24
11.1%
등록면허세 24
11.1%
지방소득세 24
11.1%
지역자원시설세 24
11.1%
등록세 23
10.6%
담배소비세 18
8.3%
지방소비세 6
 
2.8%

납세자유형
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
법인
112 
개인
105 

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 112
51.6%
개인 105
48.4%

Length

2023-12-13T00:13:51.220042image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T00:13:51.326290image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
법인 112
51.6%
개인 105
48.4%

관내 및 관외
Boolean

Distinct2
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size349.0 B
True
110 
False
107 
ValueCountFrequency (%)
True 110
50.7%
False 107
49.3%
2023-12-13T00:13:51.433262image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

납세자수
Real number (ℝ)

HIGH CORRELATION 

Distinct167
Distinct (%)77.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean16867.493
Minimum1
Maximum135828
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.0 KiB
2023-12-13T00:13:51.567926image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q17
median2124
Q315816
95-th percentile102056.6
Maximum135828
Range135827
Interquartile range (IQR)15809

Descriptive statistics

Standard deviation31945.51
Coefficient of variation (CV)1.8939098
Kurtosis4.0816824
Mean16867.493
Median Absolute Deviation (MAD)2121
Skewness2.2638165
Sum3660246
Variance1.0205156 × 109
MonotonicityNot monotonic
2023-12-13T00:13:52.007426image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 17
 
7.8%
2 11
 
5.1%
3 9
 
4.1%
5 6
 
2.8%
6 4
 
1.8%
7 4
 
1.8%
4 4
 
1.8%
998 2
 
0.9%
2045 2
 
0.9%
3958 1
 
0.5%
Other values (157) 157
72.4%
ValueCountFrequency (%)
1 17
7.8%
2 11
5.1%
3 9
4.1%
4 4
 
1.8%
5 6
 
2.8%
6 4
 
1.8%
7 4
 
1.8%
8 1
 
0.5%
9 1
 
0.5%
10 1
 
0.5%
ValueCountFrequency (%)
135828 1
0.5%
133690 1
0.5%
127649 1
0.5%
126872 1
0.5%
114522 1
0.5%
113733 1
0.5%
113008 1
0.5%
110310 1
0.5%
108173 1
0.5%
105792 1
0.5%

데이터기준일
Date

CONSTANT 

Distinct1
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
Minimum2022-12-31 00:00:00
Maximum2022-12-31 00:00:00
2023-12-13T00:13:52.143861image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:13:52.248405image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2023-12-13T00:13:49.553888image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:13:49.316864image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:13:49.664065image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:13:49.422884image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T00:13:52.359015image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
과세년도세목명납세자유형관내 및 관외납세자수
과세년도1.0000.0000.0000.0000.000
세목명0.0001.0000.0000.0000.429
납세자유형0.0000.0001.0000.0000.782
관내 및 관외0.0000.0000.0001.0000.496
납세자수0.0000.4290.7820.4961.000
2023-12-13T00:13:52.508381image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
납세자유형관내 및 관외세목명
납세자유형1.0000.0000.000
관내 및 관외0.0001.0000.000
세목명0.0000.0001.000
2023-12-13T00:13:52.597754image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
과세년도납세자수세목명납세자유형관내 및 관외
과세년도1.0000.0160.0000.0000.000
납세자수0.0161.0000.1970.6060.374
세목명0.0000.1971.0000.0000.000
납세자유형0.0000.6060.0001.0000.000
관내 및 관외0.0000.3740.0000.0001.000

Missing values

2023-12-13T00:13:49.792375image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T00:13:49.976986image/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 및 관외납세자수데이터기준일
0세종특별자치시세종특별자치시361102017등록세개인N1732022-12-31
1세종특별자치시세종특별자치시361102017등록세개인Y1822022-12-31
2세종특별자치시세종특별자치시361102017등록세법인N22022-12-31
3세종특별자치시세종특별자치시361102017등록세법인Y92022-12-31
4세종특별자치시세종특별자치시361102017재산세개인N683192022-12-31
5세종특별자치시세종특별자치시361102017재산세개인Y650232022-12-31
6세종특별자치시세종특별자치시361102017재산세법인N16412022-12-31
7세종특별자치시세종특별자치시361102017재산세법인Y29142022-12-31
8세종특별자치시세종특별자치시361102017주민세개인N186082022-12-31
9세종특별자치시세종특별자치시361102017주민세개인Y856572022-12-31
시도명시군구명자치단체코드과세년도세목명납세자유형관내 및 관외납세자수데이터기준일
207세종특별자치시세종특별자치시361102022등록면허세법인Y41222022-12-31
208세종특별자치시세종특별자치시361102022지방소득세개인N187072022-12-31
209세종특별자치시세종특별자치시361102022지방소득세개인Y741682022-12-31
210세종특별자치시세종특별자치시361102022지방소득세법인N24062022-12-31
211세종특별자치시세종특별자치시361102022지방소득세법인Y46752022-12-31
212세종특별자치시세종특별자치시361102022지방소비세법인Y12022-12-31
213세종특별자치시세종특별자치시361102022지역자원시설세개인N32022-12-31
214세종특별자치시세종특별자치시361102022지역자원시설세개인Y72022-12-31
215세종특별자치시세종특별자치시361102022지역자원시설세법인N22022-12-31
216세종특별자치시세종특별자치시361102022지역자원시설세법인Y72022-12-31