Overview

Dataset statistics

Number of variables9
Number of observations139
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory10.4 KiB
Average record size in memory76.9 B

Variable types

Categorical6
Numeric2
DateTime1

Dataset

Description인천광역시 중구에서 부과되는 지방세에 대한 데이터로 세목의 세원 유형별(건축물, 토지, 차량, 선박 등)로 분류하여 제공합니다.
Author인천광역시 중구
URLhttps://data.incheon.go.kr/findData/publicDataDetail?dataId=15079318&srcSe=7661IVAWM27C61E190

Alerts

시도명 has constant value ""Constant
시군구명 has constant value ""Constant
자치단체코드 has constant value ""Constant
데이터기준일 has constant value ""Constant
부과건수 is highly overall correlated with 부과금액 and 2 other fieldsHigh correlation
부과금액 is highly overall correlated with 부과건수High correlation
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 has 26 (18.7%) zerosZeros
부과금액 has 28 (20.1%) zerosZeros

Reproduction

Analysis started2024-01-28 13:51:39.524387
Analysis finished2024-01-28 13:51:40.217191
Duration0.69 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시도명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
인천광역시
139 

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 139
100.0%

Length

2024-01-28T22:51:40.278706image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-28T22:51:40.357338image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
인천광역시 139
100.0%

시군구명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
중구
139 

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 139
100.0%

Length

2024-01-28T22:51:40.448451image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-28T22:51:40.532968image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
중구 139
100.0%

자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
28110
139 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row28110
2nd row28110
3rd row28110
4th row28110
5th row28110

Common Values

ValueCountFrequency (%)
28110 139
100.0%

Length

2024-01-28T22:51:40.616624image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-28T22:51:40.703501image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
28110 139
100.0%

과세년도
Categorical

Distinct3
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
2020
47 
2021
46 
2022
46 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2020
2nd row2020
3rd row2020
4th row2020
5th row2020

Common Values

ValueCountFrequency (%)
2020 47
33.8%
2021 46
33.1%
2022 46
33.1%

Length

2024-01-28T22:51:40.790092image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-28T22:51:40.879063image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2020 47
33.8%
2021 46
33.1%
2022 46
33.1%

세목명
Categorical

HIGH CORRELATION 

Distinct13
Distinct (%)9.4%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
취득세
27 
주민세
23 
자동차세
21 
재산세
15 
지방소득세
12 
Other values (8)
41 

Length

Max length7
Median length3
Mean length3.7482014
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
취득세 27
19.4%
주민세 23
16.5%
자동차세 21
15.1%
재산세 15
10.8%
지방소득세 12
8.6%
레저세 12
8.6%
지역자원시설세 8
 
5.8%
등록면허세 6
 
4.3%
담배소비세 3
 
2.2%
교육세 3
 
2.2%
Other values (3) 9
 
6.5%

Length

2024-01-28T22:51:40.973314image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
취득세 27
19.4%
주민세 23
16.5%
자동차세 21
15.1%
재산세 15
10.8%
지방소득세 12
8.6%
레저세 12
8.6%
지역자원시설세 8
 
5.8%
등록면허세 6
 
4.3%
담배소비세 3
 
2.2%
교육세 3
 
2.2%
Other values (3) 9
 
6.5%

세원 유형명
Categorical

HIGH CORRELATION 

Distinct50
Distinct (%)36.0%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
담배소비세
 
3
주민세(종업원분)
 
3
재산세(토지)
 
3
기타승용
 
3
건축물
 
3
Other values (45)
124 

Length

Max length11
Median length8
Mean length6.028777
Min length2

Unique

Unique4 ?
Unique (%)2.9%

Sample

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

Common Values

ValueCountFrequency (%)
담배소비세 3
 
2.2%
주민세(종업원분) 3
 
2.2%
재산세(토지) 3
 
2.2%
기타승용 3
 
2.2%
건축물 3
 
2.2%
주택(개별) 3
 
2.2%
주택(단독) 3
 
2.2%
기타 3
 
2.2%
항공기 3
 
2.2%
기계장비 3
 
2.2%
Other values (40) 109
78.4%

Length

2024-01-28T22:51:41.083545image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
담배소비세 3
 
2.2%
도시계획세 3
 
2.2%
지역자원시설세(소방 3
 
2.2%
주민세(종업원분 3
 
2.2%
주민세(특별징수 3
 
2.2%
주민세(법인세분 3
 
2.2%
주민세(양도소득 3
 
2.2%
주민세(종합소득 3
 
2.2%
지방소비세 3
 
2.2%
체납 3
 
2.2%
Other values (40) 109
78.4%

부과건수
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct107
Distinct (%)77.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean24887.482
Minimum0
Maximum409139
Zeros26
Zeros (%)18.7%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2024-01-28T22:51:41.205367image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q19
median2281
Q323356.5
95-th percentile121720.3
Maximum409139
Range409139
Interquartile range (IQR)23347.5

Descriptive statistics

Standard deviation62081.155
Coefficient of variation (CV)2.4944731
Kurtosis23.762166
Mean24887.482
Median Absolute Deviation (MAD)2281
Skewness4.5697153
Sum3459360
Variance3.8540698 × 109
MonotonicityNot monotonic
2024-01-28T22:51:41.343534image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 26
 
18.7%
3 3
 
2.2%
1 3
 
2.2%
98 2
 
1.4%
12 2
 
1.4%
4 2
 
1.4%
10956 1
 
0.7%
26972 1
 
0.7%
12399 1
 
0.7%
90574 1
 
0.7%
Other values (97) 97
69.8%
ValueCountFrequency (%)
0 26
18.7%
1 3
 
2.2%
3 3
 
2.2%
4 2
 
1.4%
7 1
 
0.7%
11 1
 
0.7%
12 2
 
1.4%
13 1
 
0.7%
22 1
 
0.7%
23 1
 
0.7%
ValueCountFrequency (%)
409139 1
0.7%
380362 1
0.7%
369984 1
0.7%
133318 1
0.7%
127116 1
0.7%
123640 1
0.7%
123028 1
0.7%
121575 1
0.7%
118264 1
0.7%
95269 1
0.7%

부과금액
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct112
Distinct (%)80.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.1941984 × 1010
Minimum0
Maximum1.1350257 × 1011
Zeros28
Zeros (%)20.1%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2024-01-28T22:51:41.468764image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q144969000
median1.169 × 109
Q31.4060818 × 1010
95-th percentile6.7224444 × 1010
Maximum1.1350257 × 1011
Range1.1350257 × 1011
Interquartile range (IQR)1.4015848 × 1010

Descriptive statistics

Standard deviation2.2535885 × 1010
Coefficient of variation (CV)1.887114
Kurtosis6.7610402
Mean1.1941984 × 1010
Median Absolute Deviation (MAD)1.169 × 109
Skewness2.6387086
Sum1.6599357 × 1012
Variance5.078661 × 1020
MonotonicityNot monotonic
2024-01-28T22:51:41.583089image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 28
 
20.1%
50088000 1
 
0.7%
82080656000 1
 
0.7%
15560243000 1
 
0.7%
577424000 1
 
0.7%
1137058000 1
 
0.7%
25583115000 1
 
0.7%
5590401000 1
 
0.7%
113502568000 1
 
0.7%
48344497000 1
 
0.7%
Other values (102) 102
73.4%
ValueCountFrequency (%)
0 28
20.1%
1625000 1
 
0.7%
5509000 1
 
0.7%
6719000 1
 
0.7%
7720000 1
 
0.7%
21321000 1
 
0.7%
33129000 1
 
0.7%
39976000 1
 
0.7%
49962000 1
 
0.7%
50088000 1
 
0.7%
ValueCountFrequency (%)
113502568000 1
0.7%
94003821000 1
0.7%
93699258000 1
0.7%
92045883000 1
0.7%
82635939000 1
0.7%
82080656000 1
0.7%
80431467000 1
0.7%
65756997000 1
0.7%
65359366000 1
0.7%
52429201000 1
0.7%

데이터기준일
Date

CONSTANT 

Distinct1
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
Minimum2023-08-10 00:00:00
Maximum2023-08-10 00:00:00
2024-01-28T22:51:41.675280image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T22:51:41.759130image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2024-01-28T22:51:39.894807image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T22:51:39.769295image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T22:51:39.957990image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T22:51:39.829201image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-01-28T22:51:41.829823image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
과세년도세목명세원 유형명부과건수부과금액
과세년도1.0000.0000.0000.0000.000
세목명0.0001.0001.0000.8210.508
세원 유형명0.0001.0001.0000.9890.842
부과건수0.0000.8210.9891.0000.620
부과금액0.0000.5080.8420.6201.000
2024-01-28T22:51:41.913744image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
세원 유형명세목명과세년도
세원 유형명1.0000.8400.000
세목명0.8401.0000.000
과세년도0.0000.0001.000
2024-01-28T22:51:41.985644image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
부과건수부과금액과세년도세목명세원 유형명
부과건수1.0000.7720.0000.6100.714
부과금액0.7721.0000.0000.2410.407
과세년도0.0000.0001.0000.0000.000
세목명0.6100.2410.0001.0000.840
세원 유형명0.7140.4070.0000.8401.000

Missing values

2024-01-28T22:51:40.056240image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-01-28T22:51:40.170134image/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 유형명부과건수부과금액데이터기준일
0인천광역시중구281102020담배소비세담배소비세002023-08-10
1인천광역시중구281102020교육세교육세369984349937530002023-08-10
2인천광역시중구281102020도시계획세도시계획세002023-08-10
3인천광역시중구281102020취득세건축물6214447619100002023-08-10
4인천광역시중구281102020취득세주택(개별)64142745810002023-08-10
5인천광역시중구281102020취득세주택(단독)4793139616450002023-08-10
6인천광역시중구281102020취득세기타2214543730002023-08-10
7인천광역시중구281102020취득세항공기002023-08-10
8인천광역시중구281102020취득세기계장비3223833530002023-08-10
9인천광역시중구281102020취득세차량13118142374720002023-08-10
시도명시군구명자치단체코드과세년도세목명세원 유형명부과건수부과금액데이터기준일
129인천광역시중구281102022지역자원시설세지역자원시설세(특자)20316250002023-08-10
130인천광역시중구281102022지방소득세지방소득세(특별징수)52634376004250002023-08-10
131인천광역시중구281102022지방소득세지방소득세(법인소득)3363653593660002023-08-10
132인천광역시중구281102022지방소득세지방소득세(양도소득)257070939040002023-08-10
133인천광역시중구281102022지방소득세지방소득세(종합소득)3972352426390002023-08-10
134인천광역시중구281102022레저세소싸움002023-08-10
135인천광역시중구281102022레저세경정2313136340002023-08-10
136인천광역시중구281102022레저세경륜7118114530002023-08-10
137인천광역시중구281102022레저세경마1228204680002023-08-10
138인천광역시중구281102022체납체납127116175247450002023-08-10