Overview

Dataset statistics

Number of variables10
Number of observations228
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory18.4 KiB
Average record size in memory82.6 B

Variable types

Categorical8
Text2

Dataset

Description울산 동구 세원유형별과세현황으로써 시도명, 시군구명, 자치단체코드, 과세년도, 세목명, 세원유형, 부과건수, 부과금액 등의 항목을 제공합니다.
URLhttps://www.data.go.kr/data/15078732/fileData.do

Alerts

시도명 has constant value ""Constant
시군구명 has constant value ""Constant
자치단체코드 has constant value ""Constant
운영기관명 has constant value ""Constant
운영기관전화번호 has constant value ""Constant
세목명 is highly overall correlated with 세원 유형명High correlation
세원 유형명 is highly overall correlated with 세목명High correlation

Reproduction

Analysis started2023-12-12 09:05:52.183933
Analysis finished2023-12-12 09:05:52.800751
Duration0.62 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시도명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
울산광역시
228 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
울산광역시 228
100.0%

Length

2023-12-12T18:05:52.887543image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T18:05:53.011078image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
울산광역시 228
100.0%

시군구명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
동구
228 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
동구 228
100.0%

Length

2023-12-12T18:05:53.528252image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T18:05:53.658593image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
동구 228
100.0%

자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
31170
228 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row31170
2nd row31170
3rd row31170
4th row31170
5th row31170

Common Values

ValueCountFrequency (%)
31170 228
100.0%

Length

2023-12-12T18:05:53.796152image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T18:05:53.918089image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
31170 228
100.0%

과세년도
Categorical

Distinct5
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
2018
47 
2019
47 
2020
47 
2021
46 
2017
41 

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 (%)
2018 47
20.6%
2019 47
20.6%
2020 47
20.6%
2021 46
20.2%
2017 41
18.0%

Length

2023-12-12T18:05:54.022572image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T18:05:54.155902image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2018 47
20.6%
2019 47
20.6%
2020 47
20.6%
2021 46
20.2%
2017 41
18.0%

세목명
Categorical

HIGH CORRELATION 

Distinct13
Distinct (%)5.7%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
취득세
45 
주민세
43 
자동차세
35 
재산세
25 
지방소득세
20 
Other values (8)
60 

Length

Max length7
Median length3
Mean length3.7017544
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row주민세
2nd row교육세
3rd row도시계획세
4th row취득세
5th row취득세

Common Values

ValueCountFrequency (%)
취득세 45
19.7%
주민세 43
18.9%
자동차세 35
15.4%
재산세 25
11.0%
지방소득세 20
8.8%
레저세 16
 
7.0%
지역자원시설세 11
 
4.8%
등록면허세 10
 
4.4%
교육세 5
 
2.2%
도시계획세 5
 
2.2%
Other values (3) 13
 
5.7%

Length

2023-12-12T18:05:54.310256image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
취득세 45
19.7%
주민세 43
18.9%
자동차세 35
15.4%
재산세 25
11.0%
지방소득세 20
8.8%
레저세 16
 
7.0%
지역자원시설세 11
 
4.8%
등록면허세 10
 
4.4%
교육세 5
 
2.2%
도시계획세 5
 
2.2%
Other values (3) 13
 
5.7%

세원 유형명
Categorical

HIGH CORRELATION 

Distinct50
Distinct (%)21.9%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
등록면허세(등록)
 
5
차량
 
5
선박
 
5
도시계획세
 
5
건축물
 
5
Other values (45)
203 

Length

Max length11
Median length8
Mean length6.1140351
Min length2

Unique

Unique3 ?
Unique (%)1.3%

Sample

1st row주민세(개인균등)
2nd row교육세
3rd row도시계획세
4th row건축물
5th row주택(개별)

Common Values

ValueCountFrequency (%)
등록면허세(등록) 5
 
2.2%
차량 5
 
2.2%
선박 5
 
2.2%
도시계획세 5
 
2.2%
건축물 5
 
2.2%
주택(개별) 5
 
2.2%
지방소득세(법인소득) 5
 
2.2%
기타 5
 
2.2%
항공기 5
 
2.2%
기계장비 5
 
2.2%
Other values (40) 178
78.1%

Length

2023-12-12T18:05:54.450585image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
등록면허세(등록 5
 
2.2%
지방소득세(특별징수 5
 
2.2%
지방소득세(양도소득 5
 
2.2%
기타승용 5
 
2.2%
체납 5
 
2.2%
등록면허세(면허 5
 
2.2%
차량 5
 
2.2%
지역자원시설세(소방 5
 
2.2%
지역자원시설세(특자 5
 
2.2%
승용 5
 
2.2%
Other values (40) 178
78.1%

부과건수
Text

Distinct163
Distinct (%)71.5%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
2023-12-12T18:05:54.865896image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length4
Mean length3.2236842
Min length1

Characters and Unicode

Total characters735
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique157 ?
Unique (%)68.9%

Sample

1st row63745
2nd row288908
3rd row
4th row499
5th row342
ValueCountFrequency (%)
0 27
 
14.1%
3 2
 
1.0%
33 2
 
1.0%
281 2
 
1.0%
399 2
 
1.0%
8662 1
 
0.5%
63745 1
 
0.5%
602 1
 
0.5%
25 1
 
0.5%
275 1
 
0.5%
Other values (152) 152
79.2%
2023-12-12T18:05:55.418104image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 107
14.6%
2 89
12.1%
0 88
12.0%
72
9.8%
3 70
9.5%
5 61
8.3%
8 54
7.3%
6 53
7.2%
7 49
6.7%
9 48
6.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 663
90.2%
Space Separator 72
 
9.8%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 107
16.1%
2 89
13.4%
0 88
13.3%
3 70
10.6%
5 61
9.2%
8 54
8.1%
6 53
8.0%
7 49
7.4%
9 48
7.2%
4 44
6.6%
Space Separator
ValueCountFrequency (%)
72
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 735
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 107
14.6%
2 89
12.1%
0 88
12.0%
72
9.8%
3 70
9.5%
5 61
8.3%
8 54
7.3%
6 53
7.2%
7 49
6.7%
9 48
6.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 735
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 107
14.6%
2 89
12.1%
0 88
12.0%
72
9.8%
3 70
9.5%
5 61
8.3%
8 54
7.3%
6 53
7.2%
7 49
6.7%
9 48
6.5%

부과금액
Text

Distinct167
Distinct (%)73.2%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
2023-12-12T18:05:55.693297image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length9
Mean length7.2236842
Min length1

Characters and Unicode

Total characters1647
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique165 ?
Unique (%)72.4%

Sample

1st row642896000
2nd row9798983000
3rd row
4th row6030291000
5th row2412972000
ValueCountFrequency (%)
0 27
 
14.1%
6033376000 1
 
0.5%
1966873000 1
 
0.5%
642896000 1
 
0.5%
8311000 1
 
0.5%
248968000 1
 
0.5%
69643000 1
 
0.5%
13698445000 1
 
0.5%
9576891000 1
 
0.5%
9609574000 1
 
0.5%
Other values (156) 156
81.2%
2023-12-12T18:05:56.127620image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 597
36.2%
1 142
 
8.6%
2 125
 
7.6%
9 118
 
7.2%
3 116
 
7.0%
8 107
 
6.5%
7 97
 
5.9%
6 95
 
5.8%
4 92
 
5.6%
5 86
 
5.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1575
95.6%
Space Separator 72
 
4.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 597
37.9%
1 142
 
9.0%
2 125
 
7.9%
9 118
 
7.5%
3 116
 
7.4%
8 107
 
6.8%
7 97
 
6.2%
6 95
 
6.0%
4 92
 
5.8%
5 86
 
5.5%
Space Separator
ValueCountFrequency (%)
72
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1647
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 597
36.2%
1 142
 
8.6%
2 125
 
7.6%
9 118
 
7.2%
3 116
 
7.0%
8 107
 
6.5%
7 97
 
5.9%
6 95
 
5.8%
4 92
 
5.6%
5 86
 
5.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1647
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 597
36.2%
1 142
 
8.6%
2 125
 
7.6%
9 118
 
7.2%
3 116
 
7.0%
8 107
 
6.5%
7 97
 
5.9%
6 95
 
5.8%
4 92
 
5.6%
5 86
 
5.2%

운영기관명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
울산광역시 동구 세무1과
228 

Length

Max length13
Median length13
Mean length13
Min length13

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row울산광역시 동구 세무1과
2nd row울산광역시 동구 세무1과
3rd row울산광역시 동구 세무1과
4th row울산광역시 동구 세무1과
5th row울산광역시 동구 세무1과

Common Values

ValueCountFrequency (%)
울산광역시 동구 세무1과 228
100.0%

Length

2023-12-12T18:05:56.310102image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T18:05:56.452646image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
울산광역시 228
33.3%
동구 228
33.3%
세무1과 228
33.3%

운영기관전화번호
Categorical

CONSTANT 

Distinct1
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
052-209-3264
228 

Length

Max length12
Median length12
Mean length12
Min length12

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row052-209-3264
2nd row052-209-3264
3rd row052-209-3264
4th row052-209-3264
5th row052-209-3264

Common Values

ValueCountFrequency (%)
052-209-3264 228
100.0%

Length

2023-12-12T18:05:56.566900image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T18:05:56.684665image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
052-209-3264 228
100.0%

Correlations

2023-12-12T18:05:56.752834image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
과세년도세목명세원 유형명
과세년도1.0000.0000.000
세목명0.0001.0001.000
세원 유형명0.0001.0001.000
2023-12-12T18:05:56.865978image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
세목명과세년도세원 유형명
세목명1.0000.0000.910
과세년도0.0001.0000.000
세원 유형명0.9100.0001.000
2023-12-12T18:05:56.971136image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
과세년도세목명세원 유형명
과세년도1.0000.0000.000
세목명0.0001.0000.910
세원 유형명0.0000.9101.000

Missing values

2023-12-12T18:05:52.517052image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T18:05:52.735938image/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

시도명시군구명자치단체코드과세년도세목명세원 유형명부과건수부과금액운영기관명운영기관전화번호
0울산광역시동구311702017주민세주민세(개인균등)63745642896000울산광역시 동구 세무1과052-209-3264
1울산광역시동구311702017교육세교육세2889089798983000울산광역시 동구 세무1과052-209-3264
2울산광역시동구311702017도시계획세도시계획세울산광역시 동구 세무1과052-209-3264
3울산광역시동구311702017취득세건축물4996030291000울산광역시 동구 세무1과052-209-3264
4울산광역시동구311702017취득세주택(개별)3422412972000울산광역시 동구 세무1과052-209-3264
5울산광역시동구311702017취득세주택(단독)25348627869000울산광역시 동구 세무1과052-209-3264
6울산광역시동구311702017취득세기타21353152000울산광역시 동구 세무1과052-209-3264
7울산광역시동구311702017취득세항공기울산광역시 동구 세무1과052-209-3264
8울산광역시동구311702017취득세기계장비3330395000울산광역시 동구 세무1과052-209-3264
9울산광역시동구311702017취득세차량2696187744000울산광역시 동구 세무1과052-209-3264
시도명시군구명자치단체코드과세년도세목명세원 유형명부과건수부과금액운영기관명운영기관전화번호
218울산광역시동구311702021지방소득세지방소득세(양도소득)23152913781000울산광역시 동구 세무1과052-209-3264
219울산광역시동구311702021지방소득세지방소득세(종합소득)198741829252000울산광역시 동구 세무1과052-209-3264
220울산광역시동구311702021주민세주민세(사업소분)49191170905000울산광역시 동구 세무1과052-209-3264
221울산광역시동구311702021주민세주민세(개인분)59672598992000울산광역시 동구 세무1과052-209-3264
222울산광역시동구311702021주민세주민세(종업원분)303612843223000울산광역시 동구 세무1과052-209-3264
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