Overview

Dataset statistics

Number of variables8
Number of observations229
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory15.3 KiB
Average record size in memory68.6 B

Variable types

Categorical6
Numeric2

Dataset

Description대구광역시 중구의 연간 지방세 과세를 위해 세원이 되는 과세대상 유형별로 부과 현황을 제공하며, 세원 유형에 따른 부과건수, 부과금액 등의 데이터를 포함합니다. - 시도명,시군구명,자치단체코드,과세년도,세목명,세원,유형명,부과건수,부과금액
Author대구광역시 중구
URLhttps://www.data.go.kr/data/15079636/fileData.do

Alerts

시도명 has constant value ""Constant
시군구명 has constant value ""Constant
자치단체코드 has constant value ""Constant
세목명 is highly overall correlated with 부과건수 and 1 other fieldsHigh correlation
세원 유형명 is highly overall correlated with 부과건수 and 1 other fieldsHigh correlation
부과건수 is highly overall correlated with 부과금액 and 2 other fieldsHigh correlation
부과금액 is highly overall correlated with 부과건수High correlation
부과건수 has 63 (27.5%) zerosZeros
부과금액 has 63 (27.5%) zerosZeros

Reproduction

Analysis started2023-12-12 02:14:32.648215
Analysis finished2023-12-12 02:14:33.681406
Duration1.03 second
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
대구광역시
229 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
대구광역시 229
100.0%

Length

2023-12-12T11:14:34.065442image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T11:14:34.190571image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
대구광역시 229
100.0%

시군구명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
중구
229 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
중구 229
100.0%

Length

2023-12-12T11:14:34.287236image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T11:14:34.391498image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
중구 229
100.0%

자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
27110
229 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row27110
2nd row27110
3rd row27110
4th row27110
5th row27110

Common Values

ValueCountFrequency (%)
27110 229
100.0%

Length

2023-12-12T11:14:34.515236image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T11:14:34.631198image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
27110 229
100.0%

과세년도
Categorical

Distinct5
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
2019
47 
2018
47 
2020
47 
2021
46 
2017
42 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2019
2nd row2019
3rd row2019
4th row2019
5th row2019

Common Values

ValueCountFrequency (%)
2019 47
20.5%
2018 47
20.5%
2020 47
20.5%
2021 46
20.1%
2017 42
18.3%

Length

2023-12-12T11:14:34.760630image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T11:14:34.881752image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2019 47
20.5%
2018 47
20.5%
2020 47
20.5%
2021 46
20.1%
2017 42
18.3%

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)
61 

Length

Max length7
Median length3
Mean length3.7074236
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row자동차세
2nd row자동차세
3rd row주민세
4th row주민세
5th row주민세

Common Values

ValueCountFrequency (%)
취득세 45
19.7%
주민세 43
18.8%
자동차세 35
15.3%
재산세 25
10.9%
지방소득세 20
8.7%
레저세 16
 
7.0%
지역자원시설세 11
 
4.8%
등록면허세 10
 
4.4%
담배소비세 5
 
2.2%
체납 5
 
2.2%
Other values (3) 14
 
6.1%

Length

2023-12-12T11:14:35.046003image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
취득세 45
19.7%
주민세 43
18.8%
자동차세 35
15.3%
재산세 25
10.9%
지방소득세 20
8.7%
레저세 16
 
7.0%
지역자원시설세 11
 
4.8%
등록면허세 10
 
4.4%
담배소비세 5
 
2.2%
체납 5
 
2.2%
Other values (3) 14
 
6.1%

세원 유형명
Categorical

HIGH CORRELATION 

Distinct50
Distinct (%)21.8%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
기타승용
 
5
지방소득세(양도소득)
 
5
주택(개별)
 
5
지방소득세(종합소득)
 
5
등록면허세(등록)
 
5
Other values (45)
204 

Length

Max length11
Median length8
Mean length6.1091703
Min length2

Unique

Unique3 ?
Unique (%)1.3%

Sample

1st row기타승용
2nd row승용
3rd row주민세(재산분)
4th row주민세(종업원분)
5th row주민세(특별징수)

Common Values

ValueCountFrequency (%)
기타승용 5
 
2.2%
지방소득세(양도소득) 5
 
2.2%
주택(개별) 5
 
2.2%
지방소득세(종합소득) 5
 
2.2%
등록면허세(등록) 5
 
2.2%
교육세 5
 
2.2%
주민세(법인세분) 5
 
2.2%
주민세(양도소득) 5
 
2.2%
주민세(종합소득) 5
 
2.2%
등록면허세(면허) 5
 
2.2%
Other values (40) 179
78.2%

Length

2023-12-12T11:14:35.192684image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
기타승용 5
 
2.2%
주택(단독 5
 
2.2%
건축물 5
 
2.2%
승용 5
 
2.2%
특수 5
 
2.2%
지방소득세(양도소득 5
 
2.2%
항공기 5
 
2.2%
기계장비 5
 
2.2%
차량 5
 
2.2%
토지 5
 
2.2%
Other values (40) 179
78.2%

부과건수
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct160
Distinct (%)69.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean15162.188
Minimum0
Maximum256260
Zeros63
Zeros (%)27.5%
Negative0
Negative (%)0.0%
Memory size2.1 KiB
2023-12-12T11:14:35.353329image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1330
Q312029
95-th percentile77175.2
Maximum256260
Range256260
Interquartile range (IQR)12029

Descriptive statistics

Standard deviation39940.564
Coefficient of variation (CV)2.6342217
Kurtosis23.976042
Mean15162.188
Median Absolute Deviation (MAD)1330
Skewness4.649932
Sum3472141
Variance1.5952486 × 109
MonotonicityNot monotonic
2023-12-12T11:14:35.567345image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 63
27.5%
1 3
 
1.3%
1658 2
 
0.9%
13 2
 
0.9%
49 2
 
0.9%
9 2
 
0.9%
8 2
 
0.9%
20621 1
 
0.4%
2228 1
 
0.4%
22 1
 
0.4%
Other values (150) 150
65.5%
ValueCountFrequency (%)
0 63
27.5%
1 3
 
1.3%
5 1
 
0.4%
6 1
 
0.4%
7 1
 
0.4%
8 2
 
0.9%
9 2
 
0.9%
13 2
 
0.9%
14 1
 
0.4%
18 1
 
0.4%
ValueCountFrequency (%)
256260 1
0.4%
253236 1
0.4%
250785 1
0.4%
246557 1
0.4%
239186 1
0.4%
88256 1
0.4%
85861 1
0.4%
85429 1
0.4%
83960 1
0.4%
81974 1
0.4%

부과금액
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct167
Distinct (%)72.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.201463 × 109
Minimum-31000
Maximum4.4996039 × 1010
Zeros63
Zeros (%)27.5%
Negative1
Negative (%)0.4%
Memory size2.1 KiB
2023-12-12T11:14:35.746086image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-31000
5-th percentile0
Q10
median1.67269 × 108
Q36.047971 × 109
95-th percentile2.3793324 × 1010
Maximum4.4996039 × 1010
Range4.499607 × 1010
Interquartile range (IQR)6.047971 × 109

Descriptive statistics

Standard deviation8.7585745 × 109
Coefficient of variation (CV)1.6838675
Kurtosis4.1581511
Mean5.201463 × 109
Median Absolute Deviation (MAD)1.67269 × 108
Skewness2.064228
Sum1.191135 × 1012
Variance7.6712627 × 1019
MonotonicityNot monotonic
2023-12-12T11:14:35.914090image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 63
27.5%
28865000 1
 
0.4%
560000 1
 
0.4%
12819742000 1
 
0.4%
48774000 1
 
0.4%
55242000 1
 
0.4%
37586925000 1
 
0.4%
59000 1
 
0.4%
41567552000 1
 
0.4%
7828008000 1
 
0.4%
Other values (157) 157
68.6%
ValueCountFrequency (%)
-31000 1
 
0.4%
0 63
27.5%
59000 1
 
0.4%
61000 1
 
0.4%
259000 1
 
0.4%
329000 1
 
0.4%
351000 1
 
0.4%
449000 1
 
0.4%
560000 1
 
0.4%
580000 1
 
0.4%
ValueCountFrequency (%)
44996039000 1
0.4%
41567552000 1
0.4%
37586925000 1
0.4%
35955840000 1
0.4%
31874179000 1
0.4%
30587790000 1
0.4%
29386357000 1
0.4%
28484390000 1
0.4%
25156675000 1
0.4%
24553267000 1
0.4%

Interactions

2023-12-12T11:14:33.164465image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T11:14:32.964898image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T11:14:33.283164image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T11:14:33.047765image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T11:14:36.035475image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
과세년도세목명세원 유형명부과건수부과금액
과세년도1.0000.0000.0000.0000.000
세목명0.0001.0001.0000.8380.481
세원 유형명0.0001.0001.0000.9980.870
부과건수0.0000.8380.9981.0000.650
부과금액0.0000.4810.8700.6501.000
2023-12-12T11:14:36.168194image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
세목명과세년도세원 유형명
세목명1.0000.0000.910
과세년도0.0001.0000.000
세원 유형명0.9100.0001.000
2023-12-12T11:14:36.264212image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
부과건수부과금액과세년도세목명세원 유형명
부과건수1.0000.8500.0000.6450.847
부과금액0.8501.0000.0000.2210.445
과세년도0.0000.0001.0000.0000.000
세목명0.6450.2210.0001.0000.910
세원 유형명0.8470.4450.0000.9101.000

Missing values

2023-12-12T11:14:33.466298image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T11:14:33.622757image/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
0대구광역시중구271102019자동차세기타승용43428865000
1대구광역시중구271102019자동차세승용8197416350516000
2대구광역시중구271102019주민세주민세(재산분)1558546128000
3대구광역시중구271102019주민세주민세(종업원분)16363777377000
4대구광역시중구271102019주민세주민세(특별징수)00
5대구광역시중구271102019주민세주민세(법인세분)00
6대구광역시중구271102019주민세주민세(양도소득)00
7대구광역시중구271102019주민세주민세(종합소득)00
8대구광역시중구271102019주민세주민세(법인균등)4290299368000
9대구광역시중구271102019주민세주민세(개인사업)9009453470000
시도명시군구명자치단체코드과세년도세목명세원 유형명부과건수부과금액
219대구광역시중구271102021주민세주민세(양도소득)00
220대구광역시중구271102021주민세주민세(종합소득)00
221대구광역시중구271102021지방소비세지방소비세74858553000
222대구광역시중구271102021등록면허세등록면허세(면허)20117844081000
223대구광역시중구271102021등록면허세등록면허세(등록)214924609191000
224대구광역시중구271102021지역자원시설세지역자원시설세(소방)616405146159000
225대구광역시중구271102021지역자원시설세지역자원시설세(시설)00
226대구광역시중구271102021지역자원시설세지역자원시설세(특자)1558763000
227대구광역시중구271102021담배소비세담배소비세00
228대구광역시중구271102021체납체납650364155799000