Overview

Dataset statistics

Number of variables9
Number of observations210
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory15.5 KiB
Average record size in memory75.6 B

Variable types

Categorical6
Numeric2
Boolean1

Dataset

Description지방세납세자에 대한 데이터로 세목별 납세 인원 현황을 제공한다9관외 납세자에 대한 부과징수 정책 수립시 기초자료로 활용)
Author전라남도 담양군
URLhttps://www.data.go.kr/data/15079500/fileData.do

Alerts

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

Reproduction

Analysis started2023-12-12 17:16:47.036553
Analysis finished2023-12-12 17:16:47.985165
Duration0.95 seconds
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
전라남도
210 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
전라남도 210
100.0%

Length

2023-12-13T02:16:48.058530image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T02:16:48.163116image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
전라남도 210
100.0%

시군구명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
담양군
210 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
담양군 210
100.0%

Length

2023-12-13T02:16:48.298371image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T02:16:48.422616image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
담양군 210
100.0%

자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
46710
210 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row46710
2nd row46710
3rd row46710
4th row46710
5th row46710

Common Values

ValueCountFrequency (%)
46710 210
100.0%

Length

2023-12-13T02:16:48.541802image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T02:16:48.640251image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
46710 210
100.0%

과세년도
Real number (ℝ)

Distinct6
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2019.5571
Minimum2017
Maximum2022
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.0 KiB
2023-12-13T02:16:48.733450image/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 deviation1.7137417
Coefficient of variation (CV)0.000848573
Kurtosis-1.2766515
Mean2019.5571
Median Absolute Deviation (MAD)1.5
Skewness-0.037685439
Sum424107
Variance2.9369105
MonotonicityIncreasing
2023-12-13T02:16:48.869438image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
2022 37
17.6%
2021 36
17.1%
2018 35
16.7%
2020 35
16.7%
2019 34
16.2%
2017 33
15.7%
ValueCountFrequency (%)
2017 33
15.7%
2018 35
16.7%
2019 34
16.2%
2020 35
16.7%
2021 36
17.1%
2022 37
17.6%
ValueCountFrequency (%)
2022 37
17.6%
2021 36
17.1%
2020 35
16.7%
2019 34
16.2%
2018 35
16.7%
2017 33
15.7%

세목명
Categorical

Distinct11
Distinct (%)5.2%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
등록세
24 
재산세
24 
주민세
24 
취득세
24 
자동차세
24 
Other values (6)
90 

Length

Max length7
Median length5
Mean length4.1428571
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
등록세 24
11.4%
재산세 24
11.4%
주민세 24
11.4%
취득세 24
11.4%
자동차세 24
11.4%
등록면허세 24
11.4%
지방소득세 24
11.4%
지역자원시설세 20
9.5%
담배소비세 17
8.1%
지방소비세 3
 
1.4%

Length

2023-12-13T02:16:49.041215image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
등록세 24
11.4%
재산세 24
11.4%
주민세 24
11.4%
취득세 24
11.4%
자동차세 24
11.4%
등록면허세 24
11.4%
지방소득세 24
11.4%
지역자원시설세 20
9.5%
담배소비세 17
8.1%
지방소비세 3
 
1.4%

납세자유형
Categorical

Distinct2
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
법인
108 
개인
102 

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 108
51.4%
개인 102
48.6%

Length

2023-12-13T02:16:49.207646image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T02:16:49.362122image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
법인 108
51.4%
개인 102
48.6%

관내유무
Boolean

Distinct2
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size342.0 B
False
105 
True
105 
ValueCountFrequency (%)
False 105
50.0%
True 105
50.0%
2023-12-13T02:16:49.543264image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

납세자수
Real number (ℝ)

Distinct173
Distinct (%)82.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3864.4857
Minimum1
Maximum39724
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.0 KiB
2023-12-13T02:16:49.683770image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q141.5
median1004.5
Q33137
95-th percentile21294.8
Maximum39724
Range39723
Interquartile range (IQR)3095.5

Descriptive statistics

Standard deviation7860.8467
Coefficient of variation (CV)2.0341249
Kurtosis8.6672091
Mean3864.4857
Median Absolute Deviation (MAD)996.5
Skewness2.947504
Sum811542
Variance61792911
MonotonicityNot monotonic
2023-12-13T02:16:49.874009image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 13
 
6.2%
2 7
 
3.3%
7 6
 
2.9%
4 5
 
2.4%
8 5
 
2.4%
5 3
 
1.4%
10 3
 
1.4%
239 2
 
1.0%
9 2
 
1.0%
19414 1
 
0.5%
Other values (163) 163
77.6%
ValueCountFrequency (%)
1 13
6.2%
2 7
3.3%
3 1
 
0.5%
4 5
 
2.4%
5 3
 
1.4%
7 6
2.9%
8 5
 
2.4%
9 2
 
1.0%
10 3
 
1.4%
11 1
 
0.5%
ValueCountFrequency (%)
39724 1
0.5%
39435 1
0.5%
37926 1
0.5%
36970 1
0.5%
36183 1
0.5%
35603 1
0.5%
22416 1
0.5%
22176 1
0.5%
21437 1
0.5%
21415 1
0.5%

데이터기준일
Categorical

CONSTANT 

Distinct1
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
2023-09-26
210 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023-09-26
2nd row2023-09-26
3rd row2023-09-26
4th row2023-09-26
5th row2023-09-26

Common Values

ValueCountFrequency (%)
2023-09-26 210
100.0%

Length

2023-12-13T02:16:50.024437image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T02:16:50.140188image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023-09-26 210
100.0%

Interactions

2023-12-13T02:16:47.504397image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T02:16:47.295677image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T02:16:47.600376image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T02:16:47.397224image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T02:16:50.218644image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
과세년도세목명납세자유형관내유무납세자수
과세년도1.0000.0000.0000.0000.000
세목명0.0001.0000.0000.0000.537
납세자유형0.0000.0001.0000.0000.460
관내유무0.0000.0000.0001.0000.397
납세자수0.0000.5370.4600.3971.000
2023-12-13T02:16:50.347126image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
납세자유형관내유무세목명
납세자유형1.0000.0000.000
관내유무0.0001.0000.000
세목명0.0000.0001.000
2023-12-13T02:16:50.463199image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
과세년도납세자수세목명납세자유형관내유무
과세년도1.000-0.0090.0000.0000.000
납세자수-0.0091.0000.2970.4870.420
세목명0.0000.2971.0000.0000.000
납세자유형0.0000.4870.0001.0000.000
관내유무0.0000.4200.0000.0001.000

Missing values

2023-12-13T02:16:47.745209image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T02:16:47.916006image/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

시도명시군구명자치단체코드과세년도세목명납세자유형관내유무납세자수데이터기준일
0전라남도담양군467102017등록세개인N2392023-09-26
1전라남도담양군467102017등록세개인Y2252023-09-26
2전라남도담양군467102017등록세법인N12023-09-26
3전라남도담양군467102017등록세법인Y42023-09-26
4전라남도담양군467102017재산세개인N356032023-09-26
5전라남도담양군467102017재산세개인Y211582023-09-26
6전라남도담양군467102017재산세법인N10492023-09-26
7전라남도담양군467102017재산세법인Y21352023-09-26
8전라남도담양군467102017주민세개인N35952023-09-26
9전라남도담양군467102017주민세개인Y194142023-09-26
시도명시군구명자치단체코드과세년도세목명납세자유형관내유무납세자수데이터기준일
200전라남도담양군467102022등록면허세법인N9022023-09-26
201전라남도담양군467102022등록면허세법인Y14172023-09-26
202전라남도담양군467102022지방소득세개인N17332023-09-26
203전라남도담양군467102022지방소득세개인Y77672023-09-26
204전라남도담양군467102022지방소득세법인N4472023-09-26
205전라남도담양군467102022지방소득세법인Y14432023-09-26
206전라남도담양군467102022지방소비세법인Y12023-09-26
207전라남도담양군467102022지역자원시설세개인N52023-09-26
208전라남도담양군467102022지역자원시설세개인Y82023-09-26
209전라남도담양군467102022지역자원시설세법인Y92023-09-26