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

Description세목별 납세인원 현황을 제공하며, 관외 납세자에 대한 부과징수 정책 수립시 기초자료로 활용하여 데이터를 제공합니다.
Author경상북도 성주군
URLhttps://www.data.go.kr/data/15078613/fileData.do

Alerts

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

Reproduction

Analysis started2023-12-12 13:58:53.078923
Analysis finished2023-12-12 13:58:53.549607
Duration0.47 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
경상북도
95 

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 95
100.0%

Length

2023-12-12T22:58:53.644897image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T22:58:53.731466image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
경상북도 95
100.0%

시군구명
Categorical

CONSTANT 

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

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
성주군 95
100.0%

Length

2023-12-12T22:58:53.818815image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T22:58:53.901435image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
성주군 95
100.0%

자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size892.0 B
47840
95 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row47840
2nd row47840
3rd row47840
4th row47840
5th row47840

Common Values

ValueCountFrequency (%)
47840 95
100.0%

Length

2023-12-12T22:58:53.997205image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T22:58:54.102569image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
47840 95
100.0%

과세년도
Categorical

Distinct3
Distinct (%)3.2%
Missing0
Missing (%)0.0%
Memory size892.0 B
2017
32 
2018
32 
2019
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 (%)
2017 32
33.7%
2018 32
33.7%
2019 31
32.6%

Length

2023-12-12T22:58:54.208849image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T22:58:54.316018image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2017 32
33.7%
2018 32
33.7%
2019 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 length4.0736842
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row등록세
2nd row등록세
3rd row등록세
4th row등록세
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 11
11.6%
지역자원시설세 9
9.5%
담배소비세 3
 
3.2%

Length

2023-12-12T22:58:54.436211image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T22:58:54.577017image/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 11
11.6%
지역자원시설세 9
9.5%
담배소비세 3
 
3.2%

납세자유형
Categorical

Distinct2
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Memory size892.0 B
개인
48 
법인
47 

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 (%)
개인 48
50.5%
법인 47
49.5%

Length

2023-12-12T22:58:54.719370image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T22:58:54.825287image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
개인 48
50.5%
법인 47
49.5%

관내/관외
Boolean

Distinct2
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Memory size227.0 B
False
48 
True
47 
ValueCountFrequency (%)
False 48
50.5%
True 47
49.5%
2023-12-12T22:58:54.932413image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

납세자수
Text

Distinct84
Distinct (%)88.4%
Missing0
Missing (%)0.0%
Memory size892.0 B
2023-12-12T22:58:55.173105image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length7
Mean length5.7578947
Min length3

Characters and Unicode

Total characters547
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

Unique79 ?
Unique (%)83.2%

Sample

1st row 150
2nd row 89
3rd row 1
4th row 1
5th row 37,204
ValueCountFrequency (%)
1 5
 
5.3%
2 5
 
5.3%
134 2
 
2.1%
13 2
 
2.1%
7 2
 
2.1%
330 1
 
1.1%
21,992 1
 
1.1%
38,360 1
 
1.1%
85 1
 
1.1%
130 1
 
1.1%
Other values (74) 74
77.9%
2023-12-12T22:58:55.682217image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
190
34.7%
1 65
 
11.9%
, 47
 
8.6%
3 44
 
8.0%
2 32
 
5.9%
9 29
 
5.3%
4 27
 
4.9%
7 26
 
4.8%
8 26
 
4.8%
6 22
 
4.0%
Other values (2) 39
 
7.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 310
56.7%
Space Separator 190
34.7%
Other Punctuation 47
 
8.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 65
21.0%
3 44
14.2%
2 32
10.3%
9 29
9.4%
4 27
8.7%
7 26
 
8.4%
8 26
 
8.4%
6 22
 
7.1%
0 21
 
6.8%
5 18
 
5.8%
Space Separator
ValueCountFrequency (%)
190
100.0%
Other Punctuation
ValueCountFrequency (%)
, 47
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 547
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
190
34.7%
1 65
 
11.9%
, 47
 
8.6%
3 44
 
8.0%
2 32
 
5.9%
9 29
 
5.3%
4 27
 
4.9%
7 26
 
4.8%
8 26
 
4.8%
6 22
 
4.0%
Other values (2) 39
 
7.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 547
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
190
34.7%
1 65
 
11.9%
, 47
 
8.6%
3 44
 
8.0%
2 32
 
5.9%
9 29
 
5.3%
4 27
 
4.9%
7 26
 
4.8%
8 26
 
4.8%
6 22
 
4.0%
Other values (2) 39
 
7.1%

Correlations

2023-12-12T22:58:55.807950image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
과세년도세목명납세자유형관내/관외납세자수
과세년도1.0000.0000.0000.0000.000
세목명0.0001.0000.0000.0000.966
납세자유형0.0000.0001.0000.0000.900
관내/관외0.0000.0000.0001.0000.556
납세자수0.0000.9660.9000.5561.000
2023-12-12T22:58:55.922031image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
과세년도관내/관외납세자유형세목명
과세년도1.0000.0000.0000.000
관내/관외0.0001.0000.0000.000
납세자유형0.0000.0001.0000.000
세목명0.0000.0000.0001.000
2023-12-12T22:58:56.040136image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
과세년도세목명납세자유형관내/관외
과세년도1.0000.0000.0000.000
세목명0.0001.0000.0000.000
납세자유형0.0000.0001.0000.000
관내/관외0.0000.0000.0001.000

Missing values

2023-12-12T22:58:53.371822image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T22:58:53.502673image/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
0경상북도성주군478402017등록세개인N150
1경상북도성주군478402017등록세개인Y89
2경상북도성주군478402017등록세법인N1
3경상북도성주군478402017등록세법인Y1
4경상북도성주군478402017재산세개인N37,204
5경상북도성주군478402017재산세개인Y21,627
6경상북도성주군478402017재산세법인N693
7경상북도성주군478402017재산세법인Y1,650
8경상북도성주군478402017주민세개인N3,396
9경상북도성주군478402017주민세개인Y18,707
시도명시군구명자치단체코드과세년도세목명납세자유형관내/관외납세자수
85경상북도성주군478402019등록면허세개인Y6,467
86경상북도성주군478402019등록면허세법인N857
87경상북도성주군478402019등록면허세법인Y1,189
88경상북도성주군478402019지방소득세개인N1,226
89경상북도성주군478402019지방소득세개인Y4,383
90경상북도성주군478402019지방소득세법인N333
91경상북도성주군478402019지방소득세법인Y1,067
92경상북도성주군478402019지역자원시설세개인N2
93경상북도성주군478402019지역자원시설세개인Y7
94경상북도성주군478402019지역자원시설세법인Y2