Overview

Dataset statistics

Number of variables9
Number of observations28
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.3 KiB
Average record size in memory82.7 B

Variable types

Categorical6
Numeric3

Dataset

Description연도별 지방세 과세 및 비과세 현황 데이터로 세목명, 과세건수, 과세금액, 비과세건수, 비과세금액 등의 항목을 제공함
Author대구광역시
URLhttps://www.data.go.kr/data/15079120/fileData.do

Alerts

시도명 has constant value ""Constant
시군구명 has constant value ""Constant
자치단체코드 has constant value ""Constant
비과세건수 has constant value ""Constant
비과세금액 has constant value ""Constant
과세건수 has 4 (14.3%) zerosZeros
과세금액 has 4 (14.3%) zerosZeros

Reproduction

Analysis started2023-12-12 07:53:07.342158
Analysis finished2023-12-12 07:53:09.013536
Duration1.67 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시도명
Categorical

CONSTANT 

Distinct1
Distinct (%)3.6%
Missing0
Missing (%)0.0%
Memory size356.0 B
대구광역시
28 

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 28
100.0%

Length

2023-12-12T16:53:09.088785image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T16:53:09.177263image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
대구광역시 28
100.0%

시군구명
Categorical

CONSTANT 

Distinct1
Distinct (%)3.6%
Missing0
Missing (%)0.0%
Memory size356.0 B
대구광역시
28 

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 28
100.0%

Length

2023-12-12T16:53:09.284150image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T16:53:09.381910image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
대구광역시 28
100.0%

자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)3.6%
Missing0
Missing (%)0.0%
Memory size356.0 B
27000
28 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row27000
2nd row27000
3rd row27000
4th row27000
5th row27000

Common Values

ValueCountFrequency (%)
27000 28
100.0%

Length

2023-12-12T16:53:09.520720image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T16:53:09.661198image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
27000 28
100.0%

과세년도
Real number (ℝ)

Distinct6
Distinct (%)21.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2019.2143
Minimum2017
Maximum2022
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size384.0 B
2023-12-12T16:53:09.757936image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2017
5-th percentile2017
Q12018
median2019
Q32021
95-th percentile2022
Maximum2022
Range5
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.7713176
Coefficient of variation (CV)0.00087723113
Kurtosis-1.2948806
Mean2019.2143
Median Absolute Deviation (MAD)1.5
Skewness0.25309248
Sum56538
Variance3.1375661
MonotonicityIncreasing
2023-12-12T16:53:09.862365image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
2017 6
21.4%
2018 6
21.4%
2019 4
14.3%
2020 4
14.3%
2021 4
14.3%
2022 4
14.3%
ValueCountFrequency (%)
2017 6
21.4%
2018 6
21.4%
2019 4
14.3%
2020 4
14.3%
2021 4
14.3%
2022 4
14.3%
ValueCountFrequency (%)
2022 4
14.3%
2021 4
14.3%
2020 4
14.3%
2019 4
14.3%
2018 6
21.4%
2017 6
21.4%

세목명
Categorical

Distinct6
Distinct (%)21.4%
Missing0
Missing (%)0.0%
Memory size356.0 B
자동차세
6 
담배소비세
6 
지방소비세
6 
교육세
6 
취득세
2 

Length

Max length5
Median length4.5
Mean length4.2142857
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row취득세
2nd row자동차세
3rd row담배소비세
4th row지방소비세
5th row등록면허세

Common Values

ValueCountFrequency (%)
자동차세 6
21.4%
담배소비세 6
21.4%
지방소비세 6
21.4%
교육세 6
21.4%
취득세 2
 
7.1%
등록면허세 2
 
7.1%

Length

2023-12-12T16:53:10.000466image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T16:53:10.123842image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
자동차세 6
21.4%
담배소비세 6
21.4%
지방소비세 6
21.4%
교육세 6
21.4%
취득세 2
 
7.1%
등록면허세 2
 
7.1%

과세건수
Real number (ℝ)

ZEROS 

Distinct15
Distinct (%)53.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean127.57143
Minimum0
Maximum642
Zeros4
Zeros (%)14.3%
Negative0
Negative (%)0.0%
Memory size384.0 B
2023-12-12T16:53:10.235120image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q18.75
median12
Q3111
95-th percentile584.05
Maximum642
Range642
Interquartile range (IQR)102.25

Descriptive statistics

Standard deviation197.90073
Coefficient of variation (CV)1.5512935
Kurtosis1.8976196
Mean127.57143
Median Absolute Deviation (MAD)12
Skewness1.7415603
Sum3572
Variance39164.698
MonotonicityNot monotonic
2023-12-12T16:53:10.369205image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
12 6
21.4%
0 4
14.3%
111 2
 
7.1%
8 2
 
7.1%
103 2
 
7.1%
482 2
 
7.1%
10 2
 
7.1%
106 1
 
3.6%
108 1
 
3.6%
6 1
 
3.6%
Other values (5) 5
17.9%
ValueCountFrequency (%)
0 4
14.3%
6 1
 
3.6%
8 2
 
7.1%
9 1
 
3.6%
10 2
 
7.1%
12 6
21.4%
103 2
 
7.1%
106 1
 
3.6%
108 1
 
3.6%
111 2
 
7.1%
ValueCountFrequency (%)
642 1
 
3.6%
639 1
 
3.6%
482 2
 
7.1%
283 1
 
3.6%
279 1
 
3.6%
111 2
 
7.1%
108 1
 
3.6%
106 1
 
3.6%
103 2
 
7.1%
12 6
21.4%

과세금액
Real number (ℝ)

ZEROS 

Distinct25
Distinct (%)89.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0071151 × 1011
Minimum0
Maximum1.00658 × 1012
Zeros4
Zeros (%)14.3%
Negative0
Negative (%)0.0%
Memory size384.0 B
2023-12-12T16:53:10.511100image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q16.036188 × 1010
median1.349435 × 1011
Q31.7454825 × 1011
95-th percentile6.9872875 × 1011
Maximum1.00658 × 1012
Range1.00658 × 1012
Interquartile range (IQR)1.1418637 × 1011

Descriptive statistics

Standard deviation2.3868238 × 1011
Coefficient of variation (CV)1.1891813
Kurtosis4.5384972
Mean2.0071151 × 1011
Median Absolute Deviation (MAD)7.422639 × 1010
Skewness2.1235162
Sum5.6199224 × 1012
Variance5.696928 × 1022
MonotonicityNot monotonic
2023-12-12T16:53:10.661631image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
0 4
 
14.3%
179811000000 1
 
3.6%
60846577000 1
 
3.6%
1006580000000 1
 
3.6%
138319000000 1
 
3.6%
122355000000 1
 
3.6%
59684587000 1
 
3.6%
759788000000 1
 
3.6%
135678000000 1
 
3.6%
160127000000 1
 
3.6%
Other values (15) 15
53.6%
ValueCountFrequency (%)
0 4
14.3%
57362197000 1
 
3.6%
59038497000 1
 
3.6%
59684587000 1
 
3.6%
60587644000 1
 
3.6%
60846577000 1
 
3.6%
61919886000 1
 
3.6%
122355000000 1
 
3.6%
129130000000 1
 
3.6%
130398000000 1
 
3.6%
ValueCountFrequency (%)
1006580000000 1
3.6%
759788000000 1
3.6%
585333000000 1
3.6%
415800000000 1
3.6%
376652000000 1
3.6%
374549000000 1
3.6%
179811000000 1
3.6%
172794000000 1
3.6%
160127000000 1
3.6%
157604000000 1
3.6%

비과세건수
Categorical

CONSTANT 

Distinct1
Distinct (%)3.6%
Missing0
Missing (%)0.0%
Memory size356.0 B
0
28 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 28
100.0%

Length

2023-12-12T16:53:10.795938image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T16:53:10.899593image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 28
100.0%

비과세금액
Categorical

CONSTANT 

Distinct1
Distinct (%)3.6%
Missing0
Missing (%)0.0%
Memory size356.0 B
0
28 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 28
100.0%

Length

2023-12-12T16:53:11.008759image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T16:53:11.104210image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 28
100.0%

Interactions

2023-12-12T16:53:08.202340image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:53:07.488793image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:53:07.780410image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:53:08.309271image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:53:07.563198image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:53:07.936198image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:53:08.404473image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:53:07.675936image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:53:08.065377image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T16:53:11.155523image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
과세년도세목명과세건수과세금액
과세년도1.0000.0000.8430.000
세목명0.0001.0000.4130.676
과세건수0.8430.4131.0000.000
과세금액0.0000.6760.0001.000
2023-12-12T16:53:11.263494image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
과세년도과세건수과세금액세목명
과세년도1.0000.4110.2010.000
과세건수0.4111.000-0.0750.276
과세금액0.201-0.0751.0000.467
세목명0.0000.2760.4671.000

Missing values

2023-12-12T16:53:08.799078image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T16:53:08.957516image/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

시도명시군구명자치단체코드과세년도세목명과세건수과세금액비과세건수비과세금액
0대구광역시대구광역시270002017취득세0000
1대구광역시대구광역시270002017자동차세1217981100000000
2대구광역시대구광역시270002017담배소비세11114362600000000
3대구광역시대구광역시270002017지방소비세837665200000000
4대구광역시대구광역시270002017등록면허세0000
5대구광역시대구광역시270002017교육세1116191988600000
6대구광역시대구광역시270002018취득세0000
7대구광역시대구광역시270002018자동차세1217279400000000
8대구광역시대구광역시270002018담배소비세10613420900000000
9대구광역시대구광역시270002018지방소비세837454900000000
시도명시군구명자치단체코드과세년도세목명과세건수과세금액비과세건수비과세금액
18대구광역시대구광역시270002020지방소비세941580000000000
19대구광역시대구광역시270002020교육세2796058764400000
20대구광역시대구광역시270002021자동차세1216012700000000
21대구광역시대구광역시270002021담배소비세48213567800000000
22대구광역시대구광역시270002021지방소비세1075978800000000
23대구광역시대구광역시270002021교육세4825968458700000
24대구광역시대구광역시270002022자동차세1212235500000000
25대구광역시대구광역시270002022담배소비세64213831900000000
26대구광역시대구광역시270002022지방소비세10100658000000000
27대구광역시대구광역시270002022교육세6396084657700000