Overview

Dataset statistics

Number of variables8
Number of observations46
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory3.2 KiB
Average record size in memory70.9 B

Variable types

Categorical5
Text1
Numeric2

Dataset

Description부산광역시 연제구 세원 유형별 과세 현황에 대한 데이터로 세원유형, 부과건수, 부과연도, 금액 등 항목의 데이터를 제공합니다.
Author부산광역시 연제구
URLhttps://www.data.go.kr/data/15079129/fileData.do

Alerts

시도명 has constant value ""Constant
시군구명 has constant value ""Constant
자치단체코드 has constant value ""Constant
과세년도 has constant value ""Constant
부과건수 is highly overall correlated with 부과금액 and 1 other fieldsHigh correlation
부과금액 is highly overall correlated with 부과건수High correlation
세목명 is highly overall correlated with 부과건수High correlation
세원 유형명 has unique valuesUnique
부과건수 has 11 (23.9%) zerosZeros
부과금액 has 11 (23.9%) zerosZeros

Reproduction

Analysis started2023-12-12 19:52:31.076153
Analysis finished2023-12-12 19:52:31.936534
Duration0.86 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시도명
Categorical

CONSTANT 

Distinct1
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Memory size500.0 B
부산광역시
46 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
부산광역시 46
100.0%

Length

2023-12-13T04:52:31.988982image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T04:52:32.068857image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
부산광역시 46
100.0%

시군구명
Categorical

CONSTANT 

Distinct1
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Memory size500.0 B
연제구
46 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
연제구 46
100.0%

Length

2023-12-13T04:52:32.155101image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T04:52:32.226588image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
연제구 46
100.0%

자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Memory size500.0 B
26470
46 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row26470
2nd row26470
3rd row26470
4th row26470
5th row26470

Common Values

ValueCountFrequency (%)
26470 46
100.0%

Length

2023-12-13T04:52:32.301740image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T04:52:32.374337image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
26470 46
100.0%

과세년도
Categorical

CONSTANT 

Distinct1
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Memory size500.0 B
2022
46 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2022
2nd row2022
3rd row2022
4th row2022
5th row2022

Common Values

ValueCountFrequency (%)
2022 46
100.0%

Length

2023-12-13T04:52:32.457754image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T04:52:32.537617image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2022 46
100.0%

세목명
Categorical

HIGH CORRELATION 

Distinct13
Distinct (%)28.3%
Missing0
Missing (%)0.0%
Memory size500.0 B
취득세
9 
자동차세
7 
주민세
7 
재산세
5 
지방소득세
4 
Other values (8)
14 

Length

Max length7
Median length3
Mean length3.7826087
Min length2

Unique

Unique5 ?
Unique (%)10.9%

Sample

1st row지방소득세
2nd row지방소득세
3rd row지방소득세
4th row지방소득세
5th row지방소비세

Common Values

ValueCountFrequency (%)
취득세 9
19.6%
자동차세 7
15.2%
주민세 7
15.2%
재산세 5
10.9%
지방소득세 4
8.7%
레저세 4
8.7%
지역자원시설세 3
 
6.5%
등록면허세 2
 
4.3%
지방소비세 1
 
2.2%
담배소비세 1
 
2.2%
Other values (3) 3
 
6.5%

Length

2023-12-13T04:52:32.638482image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
취득세 9
19.6%
자동차세 7
15.2%
주민세 7
15.2%
재산세 5
10.9%
지방소득세 4
8.7%
레저세 4
8.7%
지역자원시설세 3
 
6.5%
등록면허세 2
 
4.3%
지방소비세 1
 
2.2%
담배소비세 1
 
2.2%
Other values (3) 3
 
6.5%

세원 유형명
Text

UNIQUE 

Distinct46
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size500.0 B
2023-12-13T04:52:32.855616image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length8
Mean length6.0217391
Min length2

Characters and Unicode

Total characters277
Distinct characters73
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique46 ?
Unique (%)100.0%

Sample

1st row지방소득세(특별징수)
2nd row지방소득세(법인소득)
3rd row지방소득세(양도소득)
4th row지방소득세(종합소득)
5th row지방소비세
ValueCountFrequency (%)
지방소득세(특별징수 1
 
2.2%
주민세(법인세분 1
 
2.2%
경마 1
 
2.2%
화물 1
 
2.2%
승합 1
 
2.2%
기타승용 1
 
2.2%
승용 1
 
2.2%
주민세(사업소분 1
 
2.2%
주민세(개인분 1
 
2.2%
주민세(종업원분 1
 
2.2%
Other values (36) 36
78.3%
2023-12-13T04:52:33.163446image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
세 27
 
9.7%
( 24
 
8.7%
) 24
 
8.7%
소 14
 
5.1%
주 11
 
4.0%
지 10
 
3.6%
득 9
 
3.2%
민 7
 
2.5%
방 6
 
2.2%
기 5
 
1.8%
Other values (63) 140
50.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 228
82.3%
Open Punctuation 24
 
8.7%
Close Punctuation 24
 
8.7%
Decimal Number 1
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
세 27
 
11.8%
소 14
 
6.1%
주 11
 
4.8%
지 10
 
4.4%
득 9
 
3.9%
민 7
 
3.1%
방 6
 
2.6%
기 5
 
2.2%
산 5
 
2.2%
시 5
 
2.2%
Other values (60) 129
56.6%
Open Punctuation
ValueCountFrequency (%)
( 24
100.0%
Close Punctuation
ValueCountFrequency (%)
) 24
100.0%
Decimal Number
ValueCountFrequency (%)
3 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 228
82.3%
Common 49
 
17.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
세 27
 
11.8%
소 14
 
6.1%
주 11
 
4.8%
지 10
 
4.4%
득 9
 
3.9%
민 7
 
3.1%
방 6
 
2.6%
기 5
 
2.2%
산 5
 
2.2%
시 5
 
2.2%
Other values (60) 129
56.6%
Common
ValueCountFrequency (%)
( 24
49.0%
) 24
49.0%
3 1
 
2.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 228
82.3%
ASCII 49
 
17.7%

Most frequent character per block

Hangul
ValueCountFrequency (%)
세 27
 
11.8%
소 14
 
6.1%
주 11
 
4.8%
지 10
 
4.4%
득 9
 
3.9%
민 7
 
3.1%
방 6
 
2.6%
기 5
 
2.2%
산 5
 
2.2%
시 5
 
2.2%
Other values (60) 129
56.6%
ASCII
ValueCountFrequency (%)
( 24
49.0%
) 24
49.0%
3 1
 
2.0%

부과건수
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct35
Distinct (%)76.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean26931.413
Minimum0
Maximum429249
Zeros11
Zeros (%)23.9%
Negative0
Negative (%)0.0%
Memory size546.0 B
2023-12-13T04:52:33.277378image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q14
median932
Q315208.5
95-th percentile129177.5
Maximum429249
Range429249
Interquartile range (IQR)15204.5

Descriptive statistics

Standard deviation71140.342
Coefficient of variation (CV)2.6415377
Kurtosis23.259006
Mean26931.413
Median Absolute Deviation (MAD)932
Skewness4.4483385
Sum1238845
Variance5.0609483 × 109
MonotonicityNot monotonic
2023-12-13T04:52:33.392010image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=35)
ValueCountFrequency (%)
0 11
23.9%
903 2
 
4.3%
42234 1
 
2.2%
24561 1
 
2.2%
2650 1
 
2.2%
961 1
 
2.2%
108059 1
 
2.2%
11529 1
 
2.2%
80663 1
 
2.2%
2239 1
 
2.2%
Other values (25) 25
54.3%
ValueCountFrequency (%)
0 11
23.9%
3 1
 
2.2%
7 1
 
2.2%
11 1
 
2.2%
12 1
 
2.2%
30 1
 
2.2%
34 1
 
2.2%
58 1
 
2.2%
157 1
 
2.2%
414 1
 
2.2%
ValueCountFrequency (%)
429249 1
2.2%
155449 1
2.2%
136217 1
2.2%
108059 1
2.2%
91706 1
2.2%
80663 1
2.2%
48064 1
2.2%
44859 1
2.2%
42234 1
2.2%
24561 1
2.2%

부과금액
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct36
Distinct (%)78.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.0877324 × 109
Minimum0
Maximum2.3393227 × 1010
Zeros11
Zeros (%)23.9%
Negative0
Negative (%)0.0%
Memory size546.0 B
2023-12-13T04:52:33.502708image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q13799750
median2.905385 × 108
Q38.2030285 × 109
95-th percentile1.966973 × 1010
Maximum2.3393227 × 1010
Range2.3393227 × 1010
Interquartile range (IQR)8.1992288 × 109

Descriptive statistics

Standard deviation7.2463414 × 109
Coefficient of variation (CV)1.4242772
Kurtosis0.25660573
Mean5.0877324 × 109
Median Absolute Deviation (MAD)2.905385 × 108
Skewness1.2767756
Sum2.3403569 × 1011
Variance5.2509464 × 1019
MonotonicityNot monotonic
2023-12-13T04:52:33.613528image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=36)
ValueCountFrequency (%)
0 11
23.9%
20351107000 1
 
2.2%
909815000 1
 
2.2%
265031000 1
 
2.2%
132041000 1
 
2.2%
50813000 1
 
2.2%
15745310000 1
 
2.2%
1305753000 1
 
2.2%
808216000 1
 
2.2%
3931400000 1
 
2.2%
Other values (26) 26
56.5%
ValueCountFrequency (%)
0 11
23.9%
1441000 1
 
2.2%
10876000 1
 
2.2%
11166000 1
 
2.2%
21368000 1
 
2.2%
32492000 1
 
2.2%
37045000 1
 
2.2%
50813000 1
 
2.2%
59825000 1
 
2.2%
81929000 1
 
2.2%
ValueCountFrequency (%)
23393227000 1
2.2%
20351107000 1
2.2%
19729913000 1
2.2%
19489183000 1
2.2%
18616460000 1
2.2%
18475217000 1
2.2%
17653382000 1
2.2%
15745310000 1
2.2%
9814687000 1
2.2%
9119775000 1
2.2%

Interactions

2023-12-13T04:52:31.375092image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T04:52:31.243531image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T04:52:31.445775image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T04:52:31.309299image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T04:52:33.685145image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
세목명세원 유형명부과건수부과금액
세목명1.0001.0000.7830.152
세원 유형명1.0001.0001.0001.000
부과건수0.7831.0001.0000.753
부과금액0.1521.0000.7531.000
2023-12-13T04:52:33.763762image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
부과건수부과금액세목명
부과건수1.0000.7900.511
부과금액0.7901.0000.000
세목명0.5110.0001.000

Missing values

2023-12-13T04:52:31.545923image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T04:52:31.893524image/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 유형명부과건수부과금액
0부산광역시연제구264702022지방소득세지방소득세(특별징수)4223420351107000
1부산광역시연제구264702022지방소득세지방소득세(법인소득)254118475217000
2부산광역시연제구264702022지방소득세지방소득세(양도소득)29208917061000
3부산광역시연제구264702022지방소득세지방소득세(종합소득)448598261035000
4부산광역시연제구264702022지방소비세지방소비세78029009000
5부산광역시연제구264702022담배소비세담배소비세00
6부산광역시연제구264702022교육세교육세42924918616460000
7부산광역시연제구264702022도시계획세도시계획세00
8부산광역시연제구264702022취득세건축물9039814687000
9부산광역시연제구264702022취득세주택(개별)8129119775000
시도명시군구명자치단체코드과세년도세목명세원 유형명부과건수부과금액
36부산광역시연제구264702022등록면허세등록면허세(면허)24561909815000
37부산광역시연제구264702022등록면허세등록면허세(등록)480644544515000
38부산광역시연제구264702022지역자원시설세지역자원시설세(소방)1554495039901000
39부산광역시연제구264702022지역자원시설세지역자원시설세(시설)00
40부산광역시연제구264702022지역자원시설세지역자원시설세(특자)41421368000
41부산광역시연제구264702022레저세소싸움00
42부산광역시연제구264702022레저세경정1132492000
43부산광역시연제구264702022레저세경륜3481929000
44부산광역시연제구264702022레저세경마125569586000
45부산광역시연제구264702022체납체납1362177601320000