Overview

Dataset statistics

Number of variables10
Number of observations23
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.1 KiB
Average record size in memory91.7 B

Variable types

Categorical5
Numeric4
DateTime1

Dataset

Description인천광역시 중구에서 부과되는 지방세 비과/감면에 대한 데이터로 과세년도, 비과세금액, 감면금액, 감면율 등을 제공합니다.
Author인천광역시 중구
URLhttps://data.incheon.go.kr/findData/publicDataDetail?dataId=15079322&srcSe=7661IVAWM27C61E190

Alerts

시도명 has constant value ""Constant
시군구명 has constant value ""Constant
자치단체코드 has constant value ""Constant
데이터기준일 has constant value ""Constant
비과세금액 is highly overall correlated with 감면금액 and 3 other fieldsHigh correlation
감면금액 is highly overall correlated with 비과세금액 and 3 other fieldsHigh correlation
부과금액 is highly overall correlated with 비과세금액 and 2 other fieldsHigh correlation
비과세감면율 is highly overall correlated with 비과세금액 and 2 other fieldsHigh correlation
세목명 is highly overall correlated with 비과세금액 and 3 other fieldsHigh correlation
감면금액 has unique valuesUnique
비과세금액 has 7 (30.4%) zerosZeros
부과금액 has 2 (8.7%) zerosZeros
비과세감면율 has 4 (17.4%) zerosZeros

Reproduction

Analysis started2024-01-28 12:14:39.681208
Analysis finished2024-01-28 12:14:41.627584
Duration1.95 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시도명
Categorical

CONSTANT 

Distinct1
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Memory size316.0 B
인천광역시
23 

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 23
100.0%

Length

2024-01-28T21:14:41.678332image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-28T21:14:41.750782image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
인천광역시 23
100.0%

시군구명
Categorical

CONSTANT 

Distinct1
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Memory size316.0 B
중구
23 

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 23
100.0%

Length

2024-01-28T21:14:41.825924image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-28T21:14:41.897107image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
중구 23
100.0%

자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Memory size316.0 B
28110
23 

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 23
100.0%

Length

2024-01-28T21:14:41.971412image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-28T21:14:42.050893image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
28110 23
100.0%

세목명
Categorical

HIGH CORRELATION 

Distinct8
Distinct (%)34.8%
Missing0
Missing (%)0.0%
Memory size316.0 B
등록세
3 
재산세
3 
주민세
3 
취득세
3 
자동차세
3 
Other values (3)
8 

Length

Max length7
Median length3
Mean length3.9130435
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row등록세
2nd row재산세
3rd row주민세
4th row취득세
5th row자동차세

Common Values

ValueCountFrequency (%)
등록세 3
13.0%
재산세 3
13.0%
주민세 3
13.0%
취득세 3
13.0%
자동차세 3
13.0%
등록면허세 3
13.0%
지역자원시설세 3
13.0%
교육세 2
8.7%

Length

2024-01-28T21:14:42.138910image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-28T21:14:42.247742image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
등록세 3
13.0%
재산세 3
13.0%
주민세 3
13.0%
취득세 3
13.0%
자동차세 3
13.0%
등록면허세 3
13.0%
지역자원시설세 3
13.0%
교육세 2
8.7%

과세년도
Categorical

Distinct3
Distinct (%)13.0%
Missing0
Missing (%)0.0%
Memory size316.0 B
2021
8 
2022
8 
2020
7 

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 (%)
2021 8
34.8%
2022 8
34.8%
2020 7
30.4%

Length

2024-01-28T21:14:42.359394image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-28T21:14:42.437397image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2021 8
34.8%
2022 8
34.8%
2020 7
30.4%

비과세금액
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct17
Distinct (%)73.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.9936942 × 109
Minimum0
Maximum4.1845984 × 1010
Zeros7
Zeros (%)30.4%
Negative0
Negative (%)0.0%
Memory size339.0 B
2024-01-28T21:14:42.517687image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median87033000
Q32.5961575 × 109
95-th percentile4.0135197 × 1010
Maximum4.1845984 × 1010
Range4.1845984 × 1010
Interquartile range (IQR)2.5961575 × 109

Descriptive statistics

Standard deviation1.3650706 × 1010
Coefficient of variation (CV)2.2775112
Kurtosis3.6959568
Mean5.9936942 × 109
Median Absolute Deviation (MAD)87033000
Skewness2.2892977
Sum1.3785497 × 1011
Variance1.8634176 × 1020
MonotonicityNot monotonic
2024-01-28T21:14:42.613808image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
0 7
30.4%
38337372000 1
 
4.3%
627109000 1
 
4.3%
36586000 1
 
4.3%
96572000 1
 
4.3%
5595107000 1
 
4.3%
41845984000 1
 
4.3%
575495000 1
 
4.3%
61818000 1
 
4.3%
91547000 1
 
4.3%
Other values (7) 7
30.4%
ValueCountFrequency (%)
0 7
30.4%
10875000 1
 
4.3%
27846000 1
 
4.3%
36586000 1
 
4.3%
61818000 1
 
4.3%
87033000 1
 
4.3%
91547000 1
 
4.3%
96572000 1
 
4.3%
575495000 1
 
4.3%
582648000 1
 
4.3%
ValueCountFrequency (%)
41845984000 1
4.3%
40334955000 1
4.3%
38337372000 1
4.3%
5595107000 1
4.3%
4978814000 1
4.3%
4565206000 1
4.3%
627109000 1
4.3%
582648000 1
4.3%
575495000 1
4.3%
96572000 1
4.3%

감면금액
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct23
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.4828633 × 109
Minimum1000
Maximum1.2217299 × 1010
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size339.0 B
2024-01-28T21:14:42.717887image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1000
5-th percentile357400
Q135003000
median1.05291 × 108
Q33.052803 × 109
95-th percentile1.1919558 × 1010
Maximum1.2217299 × 1010
Range1.2217298 × 1010
Interquartile range (IQR)3.0178 × 109

Descriptive statistics

Standard deviation4.3175259 × 109
Coefficient of variation (CV)1.7389302
Kurtosis0.81684793
Mean2.4828633 × 109
Median Absolute Deviation (MAD)1.01897 × 108
Skewness1.5271493
Sum5.7105855 × 1010
Variance1.864103 × 1019
MonotonicityNot monotonic
2024-01-28T21:14:42.835611image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
3413000 1
 
4.3%
5671400000 1
 
4.3%
109158000 1
 
4.3%
30825000 1
 
4.3%
429896000 1
 
4.3%
11978696000 1
 
4.3%
52825000 1
 
4.3%
7228879000 1
 
4.3%
9081000 1
 
4.3%
20000 1
 
4.3%
Other values (13) 13
56.5%
ValueCountFrequency (%)
1000 1
4.3%
20000 1
4.3%
3394000 1
4.3%
3413000 1
4.3%
9081000 1
4.3%
30825000 1
4.3%
39181000 1
4.3%
52825000 1
4.3%
55898000 1
4.3%
71295000 1
4.3%
ValueCountFrequency (%)
12217299000 1
4.3%
11978696000 1
4.3%
11387312000 1
4.3%
7228879000 1
4.3%
6665820000 1
4.3%
5671400000 1
4.3%
434206000 1
4.3%
429896000 1
4.3%
429622000 1
4.3%
109158000 1
4.3%

부과금액
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct22
Distinct (%)95.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.5021343 × 1010
Minimum0
Maximum2.4403146 × 1011
Zeros2
Zeros (%)8.7%
Negative0
Negative (%)0.0%
Memory size339.0 B
2024-01-28T21:14:42.937308image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1911500
Q11.242168 × 1010
median1.8732424 × 1010
Q38.6035969 × 1010
95-th percentile2.1909447 × 1011
Maximum2.4403146 × 1011
Range2.4403146 × 1011
Interquartile range (IQR)7.361429 × 1010

Descriptive statistics

Standard deviation7.2752945 × 1010
Coefficient of variation (CV)1.3222677
Kurtosis1.5839678
Mean5.5021343 × 1010
Median Absolute Deviation (MAD)9.059959 × 109
Skewness1.5982304
Sum1.2654909 × 1012
Variance5.292991 × 1021
MonotonicityNot monotonic
2024-01-28T21:14:43.033441image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
0 2
 
8.7%
19115000 1
 
4.3%
13166770000 1
 
4.3%
16262713000 1
 
4.3%
11998687000 1
 
4.3%
13905334000 1
 
4.3%
244031465000 1
 
4.3%
21173359000 1
 
4.3%
135711109000 1
 
4.3%
48344497000 1
 
4.3%
Other values (12) 12
52.2%
ValueCountFrequency (%)
0 2
8.7%
19115000 1
4.3%
9672465000 1
4.3%
11486880000 1
4.3%
11998687000 1
4.3%
12844672000 1
4.3%
13166770000 1
4.3%
13905334000 1
4.3%
14291256000 1
4.3%
16262713000 1
4.3%
ValueCountFrequency (%)
244031465000 1
4.3%
228359288000 1
4.3%
135711109000 1
4.3%
131082377000 1
4.3%
127771505000 1
4.3%
123727441000 1
4.3%
48344497000 1
4.3%
42731909000 1
4.3%
21173359000 1
4.3%
21068158000 1
4.3%

비과세감면율
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct20
Distinct (%)87.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.8873913
Minimum0
Maximum37.99
Zeros4
Zeros (%)17.4%
Negative0
Negative (%)0.0%
Memory size339.0 B
2024-01-28T21:14:43.123442image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.345
median3.79
Q37.275
95-th percentile35.988
Maximum37.99
Range37.99
Interquartile range (IQR)6.93

Descriptive statistics

Standard deviation12.041764
Coefficient of variation (CV)1.5267106
Kurtosis2.2299204
Mean7.8873913
Median Absolute Deviation (MAD)3.54
Skewness1.8539892
Sum181.41
Variance145.00407
MonotonicityNot monotonic
2024-01-28T21:14:43.217303image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
0.0 4
 
17.4%
17.86 1
 
4.3%
3.96 1
 
4.3%
4.53 1
 
4.3%
0.56 1
 
4.3%
3.79 1
 
4.3%
7.2 1
 
4.3%
0.25 1
 
4.3%
36.16 1
 
4.3%
4.76 1
 
4.3%
Other values (10) 10
43.5%
ValueCountFrequency (%)
0.0 4
17.4%
0.21 1
 
4.3%
0.25 1
 
4.3%
0.44 1
 
4.3%
0.56 1
 
4.3%
1.02 1
 
4.3%
1.07 1
 
4.3%
3.27 1
 
4.3%
3.79 1
 
4.3%
3.96 1
 
4.3%
ValueCountFrequency (%)
37.99 1
4.3%
36.16 1
4.3%
34.44 1
4.3%
17.86 1
4.3%
12.49 1
4.3%
7.35 1
4.3%
7.2 1
4.3%
4.76 1
4.3%
4.53 1
4.3%
4.06 1
4.3%

데이터기준일
Date

CONSTANT 

Distinct1
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Memory size316.0 B
Minimum2023-08-17 00:00:00
Maximum2023-08-17 00:00:00
2024-01-28T21:14:43.324476image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T21:14:43.412389image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2024-01-28T21:14:41.124331image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T21:14:39.930843image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T21:14:40.509678image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T21:14:40.792116image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T21:14:41.195787image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T21:14:39.999848image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T21:14:40.575782image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T21:14:40.864489image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T21:14:41.268798image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T21:14:40.080267image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T21:14:40.649897image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T21:14:40.942380image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T21:14:41.342579image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T21:14:40.161126image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T21:14:40.717289image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T21:14:41.010703image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-01-28T21:14:43.473136image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
세목명과세년도비과세금액감면금액부과금액비과세감면율
세목명1.0000.0001.0000.9530.9910.746
과세년도0.0001.0000.0000.0000.0000.000
비과세금액1.0000.0001.0001.0000.7850.805
감면금액0.9530.0001.0001.0000.9300.681
부과금액0.9910.0000.7850.9301.0000.631
비과세감면율0.7460.0000.8050.6810.6311.000
2024-01-28T21:14:43.556195image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
세목명과세년도
세목명1.0000.000
과세년도0.0001.000
2024-01-28T21:14:43.628413image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
비과세금액감면금액부과금액비과세감면율세목명과세년도
비과세금액1.0000.9060.5930.8350.8660.000
감면금액0.9061.0000.5860.7920.6350.000
부과금액0.5930.5861.0000.4370.7720.000
비과세감면율0.8350.7920.4371.0000.5230.000
세목명0.8660.6350.7720.5231.0000.000
과세년도0.0000.0000.0000.0000.0001.000

Missing values

2024-01-28T21:14:41.447290image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-01-28T21:14:41.578044image/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

시도명시군구명자치단체코드세목명과세년도비과세금액감면금액부과금액비과세감면율데이터기준일
0인천광역시중구28110등록세2020034130001911500017.862023-08-17
1인천광역시중구28110재산세202038337372000567140000012777150500034.442023-08-17
2인천광역시중구28110주민세20201087500071295000187324240000.442023-08-17
3인천광역시중구28110취득세202049788140001138731200013108237700012.492023-08-17
4인천광역시중구28110자동차세202087033000434206000128446720004.062023-08-17
5인천광역시중구28110등록면허세2020278460007550600096724650001.072023-08-17
6인천광역시중구28110지역자원시설세2020582648000106837000210681580003.272023-08-17
7인천광역시중구28110교육세202101000427319090000.02023-08-17
8인천광역시중구28110등록세20210339400000.02023-08-17
9인천광역시중구28110재산세202140334955000666582000012372744100037.992023-08-17
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