Overview

Dataset statistics

Number of variables8
Number of observations95
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory6.3 KiB
Average record size in memory67.4 B

Variable types

Categorical6
Boolean1
Text1

Dataset

Description지방세 세목별 납세 인원 현황을 제공함으로써 관외 납세자에 대한 부과와 징수 정책 수립시 기초자료로 활용하고 관내 납세자의 세목별 확인
Author전라남도 완도군
URLhttps://www.data.go.kr/data/15078453/fileData.do

Alerts

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

Reproduction

Analysis started2023-12-12 01:57:05.681701
Analysis finished2023-12-12 01:57:06.118532
Duration0.44 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시도명
Categorical

CONSTANT 

Distinct1
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size892.0 B
전라남도
95 

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 95
100.0%

Length

2023-12-12T10:57:06.187428image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T10:57:06.281742image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
전라남도 95
100.0%

시군구명
Categorical

CONSTANT 

Distinct1
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size892.0 B
완도군
95 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
완도군 95
100.0%

Length

2023-12-12T10:57:06.381549image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T10:57:06.475426image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
완도군 95
100.0%

자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size892.0 B
46890
95 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row46890
2nd row46890
3rd row46890
4th row46890
5th row46890

Common Values

ValueCountFrequency (%)
46890 95
100.0%

Length

2023-12-12T10:57:06.567029image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T10:57:06.672908image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
46890 95
100.0%

과세년도
Categorical

Distinct3
Distinct (%)3.2%
Missing0
Missing (%)0.0%
Memory size892.0 B
2019
33 
2017
31 
2018
31 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2017
2nd row2017
3rd row2017
4th row2017
5th row2017

Common Values

ValueCountFrequency (%)
2019 33
34.7%
2017 31
32.6%
2018 31
32.6%

Length

2023-12-12T10:57:06.803308image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T10:57:06.905262image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2019 33
34.7%
2017 31
32.6%
2018 31
32.6%

세목명
Categorical

Distinct9
Distinct (%)9.5%
Missing0
Missing (%)0.0%
Memory size892.0 B
재산세
12 
주민세
12 
취득세
12 
자동차세
12 
등록면허세
12 
Other values (4)
35 

Length

Max length7
Median length5
Mean length4.0315789
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
재산세 12
12.6%
주민세 12
12.6%
취득세 12
12.6%
자동차세 12
12.6%
등록면허세 12
12.6%
지방소득세 12
12.6%
등록세 10
10.5%
담배소비세 7
7.4%
지역자원시설세 6
6.3%

Length

2023-12-12T10:57:07.307334image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T10:57:07.446702image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
재산세 12
12.6%
주민세 12
12.6%
취득세 12
12.6%
자동차세 12
12.6%
등록면허세 12
12.6%
지방소득세 12
12.6%
등록세 10
10.5%
담배소비세 7
7.4%
지역자원시설세 6
6.3%

납세자유형
Categorical

Distinct2
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Memory size892.0 B
법인
52 
개인
43 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
법인 52
54.7%
개인 43
45.3%

Length

2023-12-12T10:57:07.599274image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T10:57:07.711354image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
법인 52
54.7%
개인 43
45.3%

관내/관외
Boolean

Distinct2
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Memory size227.0 B
True
48 
False
47 
ValueCountFrequency (%)
True 48
50.5%
False 47
49.5%
2023-12-12T10:57:07.817351image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

납세자수
Text

Distinct80
Distinct (%)84.2%
Missing0
Missing (%)0.0%
Memory size892.0 B
2023-12-12T10:57:08.060665image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length7
Mean length5.4315789
Min length3

Characters and Unicode

Total characters516
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique75 ?
Unique (%)78.9%

Sample

1st row 145
2nd row 164
3rd row 7
4th row 26,129
5th row 24,712
ValueCountFrequency (%)
1 11
 
11.6%
7 3
 
3.2%
11 2
 
2.1%
144 2
 
2.1%
77 2
 
2.1%
2,147 1
 
1.1%
246 1
 
1.1%
321 1
 
1.1%
25,037 1
 
1.1%
26,771 1
 
1.1%
Other values (70) 70
73.7%
2023-12-12T10:57:08.483428image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
190
36.8%
1 50
 
9.7%
2 40
 
7.8%
7 34
 
6.6%
, 33
 
6.4%
4 32
 
6.2%
9 28
 
5.4%
6 25
 
4.8%
3 24
 
4.7%
0 21
 
4.1%
Other values (2) 39
 
7.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 293
56.8%
Space Separator 190
36.8%
Other Punctuation 33
 
6.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 50
17.1%
2 40
13.7%
7 34
11.6%
4 32
10.9%
9 28
9.6%
6 25
8.5%
3 24
8.2%
0 21
7.2%
5 21
7.2%
8 18
 
6.1%
Space Separator
ValueCountFrequency (%)
190
100.0%
Other Punctuation
ValueCountFrequency (%)
, 33
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 516
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
190
36.8%
1 50
 
9.7%
2 40
 
7.8%
7 34
 
6.6%
, 33
 
6.4%
4 32
 
6.2%
9 28
 
5.4%
6 25
 
4.8%
3 24
 
4.7%
0 21
 
4.1%
Other values (2) 39
 
7.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 516
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
190
36.8%
1 50
 
9.7%
2 40
 
7.8%
7 34
 
6.6%
, 33
 
6.4%
4 32
 
6.2%
9 28
 
5.4%
6 25
 
4.8%
3 24
 
4.7%
0 21
 
4.1%
Other values (2) 39
 
7.6%

Correlations

2023-12-12T10:57:08.622520image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
과세년도세목명납세자유형관내/관외납세자수
과세년도1.0000.0000.0000.0000.000
세목명0.0001.0000.1180.0000.861
납세자유형0.0000.1181.0000.0000.968
관내/관외0.0000.0000.0001.0000.547
납세자수0.0000.8610.9680.5471.000
2023-12-12T10:57:08.765951image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
세목명관내/관외과세년도납세자유형
세목명1.0000.0000.0000.109
관내/관외0.0001.0000.0000.000
과세년도0.0000.0001.0000.000
납세자유형0.1090.0000.0001.000
2023-12-12T10:57:08.878123image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
과세년도세목명납세자유형관내/관외
과세년도1.0000.0000.0000.000
세목명0.0001.0000.1090.000
납세자유형0.0000.1091.0000.000
관내/관외0.0000.0000.0001.000

Missing values

2023-12-12T10:57:05.944016image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T10:57:06.070751image/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
0전라남도완도군468902017등록세개인N145
1전라남도완도군468902017등록세개인Y164
2전라남도완도군468902017등록세법인Y7
3전라남도완도군468902017재산세개인N26,129
4전라남도완도군468902017재산세개인Y24,712
5전라남도완도군468902017재산세법인N300
6전라남도완도군468902017재산세법인Y903
7전라남도완도군468902017주민세개인N3,053
8전라남도완도군468902017주민세개인Y23,671
9전라남도완도군468902017주민세법인N193
시도명시군구명자치단체코드과세년도세목명납세자유형관내/관외납세자수
85전라남도완도군468902019등록면허세개인N2,091
86전라남도완도군468902019등록면허세개인Y8,248
87전라남도완도군468902019등록면허세법인N480
88전라남도완도군468902019등록면허세법인Y991
89전라남도완도군468902019지방소득세개인N794
90전라남도완도군468902019지방소득세개인Y5,162
91전라남도완도군468902019지방소득세법인N280
92전라남도완도군468902019지방소득세법인Y759
93전라남도완도군468902019지역자원시설세법인N1
94전라남도완도군468902019지역자원시설세법인Y1