Overview

Dataset statistics

Number of variables8
Number of observations221
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory14.6 KiB
Average record size in memory67.6 B

Variable types

Categorical6
Numeric2

Dataset

Description미추홀구 지방세 과세를 위해 세원이 되는 과세 대상 유형별 부과된 현황에 대한 데이터로 과세년도, 세목명, 세원유형명, 부과건수, 부과금액 등을 제공합니다.
Author인천광역시 미추홀구
URLhttps://data.incheon.go.kr/findData/publicDataDetail?dataId=15078885&srcSe=7661IVAWM27C61E190

Alerts

시도명 has constant value ""Constant
시군구명 has constant value ""Constant
자치단체코드 has constant value ""Constant
세원 유형명 is highly overall correlated with 부과건수 and 2 other fieldsHigh correlation
세목명 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 부과건수 and 1 other fieldsHigh correlation
부과건수 has 55 (24.9%) zerosZeros
부과금액 has 56 (25.3%) zerosZeros

Reproduction

Analysis started2024-01-28 09:10:40.056539
Analysis finished2024-01-28 09:10:40.714631
Duration0.66 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시도명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
인천광역시
221 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
인천광역시 221
100.0%

Length

2024-01-28T18:10:40.760341image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-28T18:10:40.832950image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
인천광역시 221
100.0%

시군구명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
미추홀구
221 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
미추홀구 221
100.0%

Length

2024-01-28T18:10:40.910041image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-28T18:10:40.983185image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
미추홀구 221
100.0%

자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
28177
221 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row28177
2nd row28177
3rd row28177
4th row28177
5th row28177

Common Values

ValueCountFrequency (%)
28177 221
100.0%

Length

2024-01-28T18:10:41.064273image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-28T18:10:41.139227image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
28177 221
100.0%

과세년도
Categorical

Distinct5
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
2019-12-31
47 
2018-12-31
47 
2022-12-31
46 
2017-12-31
43 
2020-12-31
38 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2022-12-31
2nd row2022-12-31
3rd row2022-12-31
4th row2022-12-31
5th row2022-12-31

Common Values

ValueCountFrequency (%)
2019-12-31 47
21.3%
2018-12-31 47
21.3%
2022-12-31 46
20.8%
2017-12-31 43
19.5%
2020-12-31 38
17.2%

Length

2024-01-28T18:10:41.220818image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-28T18:10:41.313629image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2019-12-31 47
21.3%
2018-12-31 47
21.3%
2022-12-31 46
20.8%
2017-12-31 43
19.5%
2020-12-31 38
17.2%

세목명
Categorical

HIGH CORRELATION 

Distinct13
Distinct (%)5.9%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
주민세
43 
취득세
39 
자동차세
34 
재산세
25 
레저세
20 
Other values (8)
60 

Length

Max length7
Median length3
Mean length3.6923077
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
주민세 43
19.5%
취득세 39
17.6%
자동차세 34
15.4%
재산세 25
11.3%
레저세 20
9.0%
지방소득세 20
9.0%
지역자원시설세 11
 
5.0%
등록면허세 10
 
4.5%
체납 5
 
2.3%
교육세 4
 
1.8%
Other values (3) 10
 
4.5%

Length

2024-01-28T18:10:41.420053image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
주민세 43
19.5%
취득세 39
17.6%
자동차세 34
15.4%
재산세 25
11.3%
레저세 20
9.0%
지방소득세 20
9.0%
지역자원시설세 11
 
5.0%
등록면허세 10
 
4.5%
체납 5
 
2.3%
교육세 4
 
1.8%
Other values (3) 10
 
4.5%

세원 유형명
Categorical

HIGH CORRELATION 

Distinct50
Distinct (%)22.6%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
승합
 
5
재산세(토지)
 
5
지방소득세(특별징수)
 
5
경마
 
5
경륜
 
5
Other values (45)
196 

Length

Max length11
Median length8
Mean length6.1221719
Min length2

Unique

Unique3 ?
Unique (%)1.4%

Sample

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

Common Values

ValueCountFrequency (%)
승합 5
 
2.3%
재산세(토지) 5
 
2.3%
지방소득세(특별징수) 5
 
2.3%
경마 5
 
2.3%
경륜 5
 
2.3%
경정 5
 
2.3%
소싸움 5
 
2.3%
토지 5
 
2.3%
기타승용 5
 
2.3%
재산세(주택) 5
 
2.3%
Other values (40) 171
77.4%

Length

2024-01-28T18:10:41.520303image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
승합 5
 
2.3%
재산세(선박 5
 
2.3%
지방소득세(양도소득 5
 
2.3%
지역자원시설세(소방 5
 
2.3%
등록면허세(등록 5
 
2.3%
등록면허세(면허 5
 
2.3%
지방소득세(종합소득 5
 
2.3%
재산세(항공기 5
 
2.3%
재산세(토지 5
 
2.3%
주민세(종업원분 5
 
2.3%
Other values (40) 171
77.4%

부과건수
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct161
Distinct (%)72.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean48748.923
Minimum0
Maximum846992
Zeros55
Zeros (%)24.9%
Negative0
Negative (%)0.0%
Memory size2.1 KiB
2024-01-28T18:10:41.630016image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q13
median2619
Q331846
95-th percentile257323
Maximum846992
Range846992
Interquartile range (IQR)31843

Descriptive statistics

Standard deviation124695.58
Coefficient of variation (CV)2.5579146
Kurtosis23.684419
Mean48748.923
Median Absolute Deviation (MAD)2619
Skewness4.4889447
Sum10773512
Variance1.5548989 × 1010
MonotonicityNot monotonic
2024-01-28T18:10:41.744682image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 55
 
24.9%
60 2
 
0.9%
215 2
 
0.9%
12 2
 
0.9%
44 2
 
0.9%
15 2
 
0.9%
13 2
 
0.9%
233569 1
 
0.5%
281 1
 
0.5%
110016 1
 
0.5%
Other values (151) 151
68.3%
ValueCountFrequency (%)
0 55
24.9%
3 1
 
0.5%
4 1
 
0.5%
7 1
 
0.5%
11 1
 
0.5%
12 2
 
0.9%
13 2
 
0.9%
15 2
 
0.9%
20 1
 
0.5%
29 1
 
0.5%
ValueCountFrequency (%)
846992 1
0.5%
819007 1
0.5%
791605 1
0.5%
784028 1
0.5%
281328 1
0.5%
273692 1
0.5%
269026 1
0.5%
266711 1
0.5%
262845 1
0.5%
259569 1
0.5%

부과금액
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct166
Distinct (%)75.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.3843576 × 109
Minimum0
Maximum6.7851801 × 1010
Zeros56
Zeros (%)25.3%
Negative0
Negative (%)0.0%
Memory size2.1 KiB
2024-01-28T18:10:41.851495image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median8.72585 × 108
Q31.0102896 × 1010
95-th percentile3.2979185 × 1010
Maximum6.7851801 × 1010
Range6.7851801 × 1010
Interquartile range (IQR)1.0102896 × 1010

Descriptive statistics

Standard deviation1.3309803 × 1010
Coefficient of variation (CV)1.5874565
Kurtosis4.4339319
Mean8.3843576 × 109
Median Absolute Deviation (MAD)8.72585 × 108
Skewness2.0373852
Sum1.852943 × 1012
Variance1.7715085 × 1020
MonotonicityNot monotonic
2024-01-28T18:10:42.206691image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 56
 
25.3%
2611000 1
 
0.5%
4355297000 1
 
0.5%
25133992000 1
 
0.5%
25269816000 1
 
0.5%
990000 1
 
0.5%
8588295000 1
 
0.5%
10841000 1
 
0.5%
85174000 1
 
0.5%
583567000 1
 
0.5%
Other values (156) 156
70.6%
ValueCountFrequency (%)
0 56
25.3%
302000 1
 
0.5%
990000 1
 
0.5%
1607000 1
 
0.5%
1896000 1
 
0.5%
1982000 1
 
0.5%
2069000 1
 
0.5%
2376000 1
 
0.5%
2611000 1
 
0.5%
2741000 1
 
0.5%
ValueCountFrequency (%)
67851801000 1
0.5%
65545557000 1
0.5%
62773956000 1
0.5%
57433160000 1
0.5%
47355110000 1
0.5%
44729308000 1
0.5%
42725147000 1
0.5%
41191142000 1
0.5%
34692941000 1
0.5%
34449333000 1
0.5%

Interactions

2024-01-28T18:10:40.395083image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T18:10:40.247062image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T18:10:40.474765image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T18:10:40.319684image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-01-28T18:10:42.287887image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
과세년도세목명세원 유형명부과건수부과금액
과세년도1.0000.0000.0000.0000.000
세목명0.0001.0001.0000.8180.632
세원 유형명0.0001.0001.0000.9730.907
부과건수0.0000.8180.9731.0000.533
부과금액0.0000.6320.9070.5331.000
2024-01-28T18:10:42.369066image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
세원 유형명세목명과세년도
세원 유형명1.0000.9070.000
세목명0.9071.0000.000
과세년도0.0000.0001.000
2024-01-28T18:10:42.442422image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
부과건수부과금액과세년도세목명세원 유형명
부과건수1.0000.8340.0000.6120.723
부과금액0.8341.0000.0000.3300.552
과세년도0.0000.0001.0000.0000.000
세목명0.6120.3300.0001.0000.907
세원 유형명0.7230.5520.0000.9071.000

Missing values

2024-01-28T18:10:40.574567image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-01-28T18:10:40.675165image/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
0인천광역시미추홀구281772022-12-31담배소비세담배소비세00
1인천광역시미추홀구281772022-12-31교육세교육세84699234692941000
2인천광역시미추홀구281772022-12-31도시계획세도시계획세00
3인천광역시미추홀구281772022-12-31취득세건축물407644729308000
4인천광역시미추홀구281772022-12-31취득세주택(개별)18539578159000
5인천광역시미추홀구281772022-12-31취득세주택(단독)1138647355110000
6인천광역시미추홀구281772022-12-31취득세기타40256417000
7인천광역시미추홀구281772022-12-31취득세항공기00
8인천광역시미추홀구281772022-12-31취득세기계장비9402937632000
9인천광역시미추홀구281772022-12-31취득세차량2802041191142000
시도명시군구명자치단체코드과세년도세목명세원 유형명부과건수부과금액
211인천광역시미추홀구281772017-12-31주민세주민세(재산분)1802687135000
212인천광역시미추홀구281772017-12-31주민세주민세(종업원분)16823062690000
213인천광역시미추홀구281772017-12-31주민세주민세(특별징수)00
214인천광역시미추홀구281772017-12-31주민세주민세(법인세분)00
215인천광역시미추홀구281772017-12-31주민세주민세(양도소득)00
216인천광역시미추홀구281772017-12-31주민세주민세(종합소득)00
217인천광역시미추홀구281772017-12-31주민세주민세(법인균등)3693355350000
218인천광역시미추홀구281772017-12-31주민세주민세(개인사업)10996830525000
219인천광역시미추홀구281772017-12-31주민세주민세(개인균등)1687081704940000
220인천광역시미추홀구281772017-12-31체납체납27369223023420000