Overview

Dataset statistics

Number of variables9
Number of observations234
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory17.5 KiB
Average record size in memory76.6 B

Variable types

Categorical6
Numeric2
DateTime1

Dataset

Description해당자료는 경기도 구리시의 세원 유형별 2019년기준 2018년기준 2017년 기 준 현황 자료(시도명, 시군구명, 자치단체코드, 과세년도, 세목명, 세원유형, 부과건수, 부과금액)에 대한 제공 입니다.
URLhttps://www.data.go.kr/data/15080557/fileData.do

Alerts

시도명 has constant value ""Constant
시군구명 has constant value ""Constant
자치단체코드 has constant value ""Constant
데이터기준일자 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 2 other fieldsHigh correlation
부과건수 is highly overall correlated with 부과금액 and 2 other fieldsHigh correlation
부과금액 is highly overall correlated with 부과건수 and 1 other fieldsHigh correlation
부과건수 has 49 (20.9%) zerosZeros
부과금액 has 49 (20.9%) zerosZeros

Reproduction

Analysis started2023-12-11 23:32:07.404844
Analysis finished2023-12-11 23:32:08.084889
Duration0.68 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시도명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
경기도
234 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
경기도 234
100.0%

Length

2023-12-12T08:32:08.137096image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T08:32:08.210005image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
경기도 234
100.0%

시군구명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
구리시
234 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
구리시 234
100.0%

Length

2023-12-12T08:32:08.300739image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T08:32:08.396725image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
구리시 234
100.0%

자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
41310
234 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row41310
2nd row41310
3rd row41310
4th row41310
5th row41310

Common Values

ValueCountFrequency (%)
41310 234
100.0%

Length

2023-12-12T08:32:08.521851image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T08:32:08.601705image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
41310 234
100.0%

과세년도
Categorical

Distinct5
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
2019
47 
2017
47 
2018
47 
2020
47 
2021
46 

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
20.1%
2017 47
20.1%
2018 47
20.1%
2020 47
20.1%
2021 46
19.7%

Length

2023-12-12T08:32:08.728960image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T08:32:08.833022image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2019 47
20.1%
2017 47
20.1%
2018 47
20.1%
2020 47
20.1%
2021 46
19.7%

세목명
Categorical

HIGH CORRELATION 

Distinct13
Distinct (%)5.6%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
취득세
45 
주민세
43 
자동차세
35 
재산세
25 
지방소득세
20 
Other values (8)
66 

Length

Max length7
Median length3
Mean length3.7008547
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
취득세 45
19.2%
주민세 43
18.4%
자동차세 35
15.0%
재산세 25
10.7%
지방소득세 20
8.5%
레저세 20
8.5%
지역자원시설세 11
 
4.7%
등록면허세 10
 
4.3%
지방소비세 5
 
2.1%
체납 5
 
2.1%
Other values (3) 15
 
6.4%

Length

2023-12-12T08:32:08.976003image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
취득세 45
19.2%
주민세 43
18.4%
자동차세 35
15.0%
재산세 25
10.7%
지방소득세 20
8.5%
레저세 20
8.5%
지역자원시설세 11
 
4.7%
등록면허세 10
 
4.3%
지방소비세 5
 
2.1%
체납 5
 
2.1%
Other values (3) 15
 
6.4%

세원 유형명
Categorical

HIGH CORRELATION 

Distinct50
Distinct (%)21.4%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
기타
 
5
화물
 
5
주민세(특별징수)
 
5
경정
 
5
주민세(양도소득)
 
5
Other values (45)
209 

Length

Max length11
Median length8
Mean length6.0384615
Min length2

Unique

Unique3 ?
Unique (%)1.3%

Sample

1st row주민세(재산분)
2nd row주민세(종업원분)
3rd row주민세(특별징수)
4th row주민세(법인세분)
5th row주민세(양도소득)

Common Values

ValueCountFrequency (%)
기타 5
 
2.1%
화물 5
 
2.1%
주민세(특별징수) 5
 
2.1%
경정 5
 
2.1%
주민세(양도소득) 5
 
2.1%
주민세(종합소득) 5
 
2.1%
승용 5
 
2.1%
기타승용 5
 
2.1%
승합 5
 
2.1%
지방소비세 5
 
2.1%
Other values (40) 184
78.6%

Length

2023-12-12T08:32:09.107074image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
기타 5
 
2.1%
주민세(법인세분 5
 
2.1%
경륜 5
 
2.1%
화물 5
 
2.1%
주민세(종업원분 5
 
2.1%
항공기 5
 
2.1%
기계장비 5
 
2.1%
차량 5
 
2.1%
선박 5
 
2.1%
주택(개별 5
 
2.1%
Other values (40) 184
78.6%

부과건수
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct170
Distinct (%)72.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean23035.671
Minimum0
Maximum372827
Zeros49
Zeros (%)20.9%
Negative0
Negative (%)0.0%
Memory size2.2 KiB
2023-12-12T08:32:09.238408image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q14.5
median849
Q312868
95-th percentile125728.4
Maximum372827
Range372827
Interquartile range (IQR)12863.5

Descriptive statistics

Standard deviation59825.403
Coefficient of variation (CV)2.5970766
Kurtosis19.205009
Mean23035.671
Median Absolute Deviation (MAD)849
Skewness4.1494916
Sum5390347
Variance3.5790788 × 109
MonotonicityNot monotonic
2023-12-12T08:32:09.387359image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 49
 
20.9%
3 7
 
3.0%
12 6
 
2.6%
4 2
 
0.9%
8 2
 
0.9%
362 2
 
0.9%
35209 2
 
0.9%
13 2
 
0.9%
2459 1
 
0.4%
216 1
 
0.4%
Other values (160) 160
68.4%
ValueCountFrequency (%)
0 49
20.9%
1 1
 
0.4%
3 7
 
3.0%
4 2
 
0.9%
6 1
 
0.4%
8 2
 
0.9%
9 1
 
0.4%
11 1
 
0.4%
12 6
 
2.6%
13 2
 
0.9%
ValueCountFrequency (%)
372827 1
0.4%
363621 1
0.4%
361351 1
0.4%
351048 1
0.4%
329470 1
0.4%
182087 1
0.4%
180101 1
0.4%
165793 1
0.4%
145730 1
0.4%
139377 1
0.4%

부과금액
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct186
Distinct (%)79.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.6856193 × 109
Minimum0
Maximum4.2437171 × 1010
Zeros49
Zeros (%)20.9%
Negative0
Negative (%)0.0%
Memory size2.2 KiB
2023-12-12T08:32:09.555931image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q1863000
median4.55877 × 108
Q39.7471285 × 109
95-th percentile2.3342066 × 1010
Maximum4.2437171 × 1010
Range4.2437171 × 1010
Interquartile range (IQR)9.7462655 × 109

Descriptive statistics

Standard deviation8.4330514 × 109
Coefficient of variation (CV)1.4832248
Kurtosis3.7408445
Mean5.6856193 × 109
Median Absolute Deviation (MAD)4.55877 × 108
Skewness1.865932
Sum1.3304349 × 1012
Variance7.1116355 × 1019
MonotonicityNot monotonic
2023-12-12T08:32:09.714350image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 49
 
20.9%
258326000 1
 
0.4%
14121131000 1
 
0.4%
15762146000 1
 
0.4%
1382000 1
 
0.4%
42437171000 1
 
0.4%
944620000 1
 
0.4%
22610653000 1
 
0.4%
17167434000 1
 
0.4%
86000 1
 
0.4%
Other values (176) 176
75.2%
ValueCountFrequency (%)
0 49
20.9%
69000 1
 
0.4%
86000 1
 
0.4%
88000 1
 
0.4%
106000 1
 
0.4%
139000 1
 
0.4%
388000 1
 
0.4%
506000 1
 
0.4%
520000 1
 
0.4%
601000 1
 
0.4%
ValueCountFrequency (%)
42437171000 1
0.4%
41590031000 1
0.4%
37781182000 1
0.4%
35033412000 1
0.4%
34424175000 1
0.4%
27303513000 1
0.4%
26712805000 1
0.4%
25892671000 1
0.4%
25651703000 1
0.4%
23966914000 1
0.4%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
Minimum2023-06-21 00:00:00
Maximum2023-06-21 00:00:00
2023-12-12T08:32:09.835125image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T08:32:09.921448image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2023-12-12T08:32:07.768482image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T08:32:07.615451image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T08:32:07.854715image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T08:32:07.693780image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T08:32:10.004953image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
과세년도세목명세원 유형명부과건수부과금액
과세년도1.0000.0000.0000.0000.000
세목명0.0001.0001.0000.8230.717
세원 유형명0.0001.0001.0000.9390.915
부과건수0.0000.8230.9391.0000.590
부과금액0.0000.7170.9150.5901.000
2023-12-12T08:32:10.132794image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
세목명세원 유형명과세년도
세목명1.0000.9120.000
세원 유형명0.9121.0000.000
과세년도0.0000.0001.000
2023-12-12T08:32:10.240697image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
부과건수부과금액과세년도세목명세원 유형명
부과건수1.0000.7740.0000.5620.652
부과금액0.7741.0000.0000.4070.574
과세년도0.0000.0001.0000.0000.000
세목명0.5620.4070.0001.0000.912
세원 유형명0.6520.5740.0000.9121.000

Missing values

2023-12-12T08:32:07.938890image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T08:32:08.041364image/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 유형명부과건수부과금액데이터기준일자
0경기도구리시413102019주민세주민세(재산분)7982583260002023-06-21
1경기도구리시413102019주민세주민세(종업원분)107918177140002023-06-21
2경기도구리시413102019주민세주민세(특별징수)002023-06-21
3경기도구리시413102019주민세주민세(법인세분)002023-06-21
4경기도구리시413102019주민세주민세(양도소득)002023-06-21
5경기도구리시413102019주민세주민세(종합소득)002023-06-21
6경기도구리시413102019주민세주민세(법인균등)39742415590002023-06-21
7경기도구리시413102019주민세주민세(개인사업)78473923910002023-06-21
8경기도구리시413102019주민세주민세(개인균등)723167290560002023-06-21
9경기도구리시413102019지방소비세지방소비세002023-06-21
시도명시군구명자치단체코드과세년도세목명세원 유형명부과건수부과금액데이터기준일자
224경기도구리시413102021등록면허세등록면허세(면허)232705042690002023-06-21
225경기도구리시413102021등록면허세등록면허세(등록)3520952355230002023-06-21
226경기도구리시413102021지역자원시설세지역자원시설세(소방)12958640149760002023-06-21
227경기도구리시413102021지역자원시설세지역자원시설세(시설)002023-06-21
228경기도구리시413102021지역자원시설세지역자원시설세(특자)14340890002023-06-21
229경기도구리시413102021지방소득세지방소득세(특별징수)39060103284280002023-06-21
230경기도구리시413102021지방소득세지방소득세(법인소득)309076962010002023-06-21
231경기도구리시413102021지방소득세지방소득세(양도소득)3281164884820002023-06-21
232경기도구리시413102021지방소득세지방소득세(종합소득)4102365751060002023-06-21
233경기도구리시413102021체납체납139377144710900002023-06-21