Overview

Dataset statistics

Number of variables9
Number of observations48
Missing cells5
Missing cells (%)1.2%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory3.8 KiB
Average record size in memory80.8 B

Variable types

Categorical4
Numeric5

Dataset

Description지방세 비과감면율 현황 데이터로 과세년도, 세목명, 비과세금액, 감면금액, 부과금액, 비과세 감면율 등의 데이터를 제공합니다.
Author전라남도 장흥군
URLhttps://www.data.go.kr/data/15078662/fileData.do

Alerts

시도명 has constant value ""Constant
시군구명 has constant value ""Constant
자치단체코드 has constant value ""Constant
비과세금액 is highly overall correlated with 감면금액 and 1 other fieldsHigh correlation
감면금액 is highly overall correlated with 비과세금액 and 3 other fieldsHigh correlation
부과금액 is highly overall correlated with 감면금액 and 1 other fieldsHigh correlation
비과세감면율 is highly overall correlated with 비과세금액 and 2 other fieldsHigh correlation
세목명 is highly overall correlated with 감면금액 and 2 other fieldsHigh correlation
비과세금액 has 5 (10.4%) missing valuesMissing
감면금액 has unique valuesUnique
비과세금액 has 9 (18.8%) zerosZeros
부과금액 has 5 (10.4%) zerosZeros
비과세감면율 has 8 (16.7%) zerosZeros

Reproduction

Analysis started2024-04-21 01:48:13.885434
Analysis finished2024-04-21 01:48:17.750513
Duration3.87 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시도명
Categorical

CONSTANT 

Distinct1
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Memory size516.0 B
전라남도
48 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
전라남도 48
100.0%

Length

2024-04-21T10:48:17.810212image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T10:48:17.898221image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
전라남도 48
100.0%

시군구명
Categorical

CONSTANT 

Distinct1
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Memory size516.0 B
장흥군
48 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
장흥군 48
100.0%

Length

2024-04-21T10:48:17.985082image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T10:48:18.069819image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
장흥군 48
100.0%

자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Memory size516.0 B
46800
48 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row46800
2nd row46800
3rd row46800
4th row46800
5th row46800

Common Values

ValueCountFrequency (%)
46800 48
100.0%

Length

2024-04-21T10:48:18.161685image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T10:48:18.259328image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
46800 48
100.0%

세목명
Categorical

HIGH CORRELATION 

Distinct8
Distinct (%)16.7%
Missing0
Missing (%)0.0%
Memory size516.0 B
교육세
6 
등록세
6 
재산세
6 
주민세
6 
취득세
6 
Other values (3)
18 

Length

Max length7
Median length3
Mean length3.875
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
교육세 6
12.5%
등록세 6
12.5%
재산세 6
12.5%
주민세 6
12.5%
취득세 6
12.5%
자동차세 6
12.5%
등록면허세 6
12.5%
지역자원시설세 6
12.5%

Length

2024-04-21T10:48:18.384328image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T10:48:18.506811image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
교육세 6
12.5%
등록세 6
12.5%
재산세 6
12.5%
주민세 6
12.5%
취득세 6
12.5%
자동차세 6
12.5%
등록면허세 6
12.5%
지역자원시설세 6
12.5%

과세년도
Real number (ℝ)

Distinct6
Distinct (%)12.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2019.5
Minimum2017
Maximum2022
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size564.0 B
2024-04-21T10:48:18.610053image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

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

Descriptive statistics

Standard deviation1.7258979
Coefficient of variation (CV)0.00085461642
Kurtosis-1.2751304
Mean2019.5
Median Absolute Deviation (MAD)1.5
Skewness0
Sum96936
Variance2.9787234
MonotonicityIncreasing
2024-04-21T10:48:18.706754image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
2017 8
16.7%
2018 8
16.7%
2019 8
16.7%
2020 8
16.7%
2021 8
16.7%
2022 8
16.7%
ValueCountFrequency (%)
2017 8
16.7%
2018 8
16.7%
2019 8
16.7%
2020 8
16.7%
2021 8
16.7%
2022 8
16.7%
ValueCountFrequency (%)
2022 8
16.7%
2021 8
16.7%
2020 8
16.7%
2019 8
16.7%
2018 8
16.7%
2017 8
16.7%

비과세금액
Real number (ℝ)

HIGH CORRELATION  MISSING  ZEROS 

Distinct35
Distinct (%)81.4%
Missing5
Missing (%)10.4%
Infinite0
Infinite (%)0.0%
Mean3.0240079 × 108
Minimum0
Maximum2.056818 × 109
Zeros9
Zeros (%)18.8%
Negative0
Negative (%)0.0%
Memory size564.0 B
2024-04-21T10:48:18.815816image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q15459500
median50970000
Q32.316435 × 108
95-th percentile1.4588349 × 109
Maximum2.056818 × 109
Range2.056818 × 109
Interquartile range (IQR)2.26184 × 108

Descriptive statistics

Standard deviation5.3798118 × 108
Coefficient of variation (CV)1.7790336
Kurtosis2.7146431
Mean3.0240079 × 108
Median Absolute Deviation (MAD)50970000
Skewness1.9462875
Sum1.3003234 × 1010
Variance2.8942375 × 1017
MonotonicityNot monotonic
2024-04-21T10:48:19.083731image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=35)
ValueCountFrequency (%)
0 9
 
18.8%
15390000 1
 
2.1%
50970000 1
 
2.1%
282554000 1
 
2.1%
45270000 1
 
2.1%
16996000 1
 
2.1%
102117000 1
 
2.1%
1461347000 1
 
2.1%
180733000 1
 
2.1%
9633000 1
 
2.1%
Other values (25) 25
52.1%
(Missing) 5
 
10.4%
ValueCountFrequency (%)
0 9
18.8%
150000 1
 
2.1%
4701000 1
 
2.1%
6218000 1
 
2.1%
7339000 1
 
2.1%
9617000 1
 
2.1%
9633000 1
 
2.1%
15390000 1
 
2.1%
15420000 1
 
2.1%
16640000 1
 
2.1%
ValueCountFrequency (%)
2056818000 1
2.1%
1686008000 1
2.1%
1461347000 1
2.1%
1436226000 1
2.1%
1139134000 1
2.1%
1111054000 1
2.1%
1069635000 1
2.1%
830890000 1
2.1%
362606000 1
2.1%
356310000 1
2.1%

감면금액
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct48
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.293769 × 108
Minimum56000
Maximum2.370747 × 109
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size564.0 B
2024-04-21T10:48:19.215550image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum56000
5-th percentile478950
Q14590250
median46331500
Q32.5693175 × 108
95-th percentile1.9856269 × 109
Maximum2.370747 × 109
Range2.370691 × 109
Interquartile range (IQR)2.523415 × 108

Descriptive statistics

Standard deviation6.421566 × 108
Coefficient of variation (CV)1.9496103
Kurtosis4.3821671
Mean3.293769 × 108
Median Absolute Deviation (MAD)45381500
Skewness2.3563575
Sum1.5810091 × 1010
Variance4.123651 × 1017
MonotonicityNot monotonic
2024-04-21T10:48:19.342395image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=48)
ValueCountFrequency (%)
4258000 1
 
2.1%
1383000 1
 
2.1%
3246000 1
 
2.1%
2119146000 1
 
2.1%
198777000 1
 
2.1%
101913000 1
 
2.1%
16453000 1
 
2.1%
67000 1
 
2.1%
4516000 1
 
2.1%
413787000 1
 
2.1%
Other values (38) 38
79.2%
ValueCountFrequency (%)
56000 1
2.1%
62000 1
2.1%
67000 1
2.1%
1244000 1
2.1%
1270000 1
2.1%
1383000 1
2.1%
1761000 1
2.1%
3246000 1
2.1%
3334000 1
2.1%
3447000 1
2.1%
ValueCountFrequency (%)
2370747000 1
2.1%
2364319000 1
2.1%
2119146000 1
2.1%
1737663000 1
2.1%
1634828000 1
2.1%
1426491000 1
2.1%
451567000 1
2.1%
413787000 1
2.1%
371435000 1
2.1%
363051000 1
2.1%

부과금액
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct44
Distinct (%)91.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.799801 × 109
Minimum0
Maximum1.0054297 × 1010
Zeros5
Zeros (%)10.4%
Negative0
Negative (%)0.0%
Memory size564.0 B
2024-04-21T10:48:19.514459image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q14.729955 × 108
median1.679227 × 109
Q33.6859402 × 109
95-th percentile8.5660028 × 109
Maximum1.0054297 × 1010
Range1.0054297 × 1010
Interquartile range (IQR)3.2129448 × 109

Descriptive statistics

Standard deviation2.9957587 × 109
Coefficient of variation (CV)1.0699899
Kurtosis0.044783308
Mean2.799801 × 109
Median Absolute Deviation (MAD)1.3289315 × 109
Skewness1.0895059
Sum1.3439045 × 1011
Variance8.9745703 × 1018
MonotonicityNot monotonic
2024-04-21T10:48:19.647339image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=44)
ValueCountFrequency (%)
0 5
 
10.4%
9791156000 1
 
2.1%
2973224000 1
 
2.1%
586640000 1
 
2.1%
8577794000 1
 
2.1%
8382543000 1
 
2.1%
862883000 1
 
2.1%
423784000 1
 
2.1%
3159172000 1
 
2.1%
3112590000 1
 
2.1%
Other values (34) 34
70.8%
ValueCountFrequency (%)
0 5
10.4%
25208000 1
 
2.1%
340284000 1
 
2.1%
360307000 1
 
2.1%
401003000 1
 
2.1%
423784000 1
 
2.1%
458851000 1
 
2.1%
459647000 1
 
2.1%
477445000 1
 
2.1%
558378000 1
 
2.1%
ValueCountFrequency (%)
10054297000 1
2.1%
9791156000 1
2.1%
8577794000 1
2.1%
8544105000 1
2.1%
8497572000 1
2.1%
8382543000 1
2.1%
6941549000 1
2.1%
6345513000 1
2.1%
5706777000 1
2.1%
5551262000 1
2.1%

비과세감면율
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct41
Distinct (%)85.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean17.455208
Minimum0
Maximum76.22
Zeros8
Zeros (%)16.7%
Negative0
Negative (%)0.0%
Memory size564.0 B
2024-04-21T10:48:19.762311image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11.1425
median6.735
Q326.7675
95-th percentile65.584
Maximum76.22
Range76.22
Interquartile range (IQR)25.625

Descriptive statistics

Standard deviation21.335906
Coefficient of variation (CV)1.2223232
Kurtosis1.0740736
Mean17.455208
Median Absolute Deviation (MAD)6.735
Skewness1.3939413
Sum837.85
Variance455.2209
MonotonicityNot monotonic
2024-04-21T10:48:19.888250image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
0.0 8
 
16.7%
0.16 1
 
2.1%
26.06 1
 
2.1%
48.47 1
 
2.1%
0.58 1
 
2.1%
28.0 1
 
2.1%
2.91 1
 
2.1%
13.78 1
 
2.1%
27.98 1
 
2.1%
60.24 1
 
2.1%
Other values (31) 31
64.6%
ValueCountFrequency (%)
0.0 8
16.7%
0.04 1
 
2.1%
0.15 1
 
2.1%
0.16 1
 
2.1%
0.58 1
 
2.1%
1.33 1
 
2.1%
1.45 1
 
2.1%
2.91 1
 
2.1%
3.51 1
 
2.1%
3.67 1
 
2.1%
ValueCountFrequency (%)
76.22 1
2.1%
70.96 1
2.1%
67.81 1
2.1%
61.45 1
2.1%
60.24 1
2.1%
48.47 1
2.1%
41.0 1
2.1%
37.0 1
2.1%
30.18 1
2.1%
28.0 1
2.1%

Interactions

2024-04-21T10:48:17.089632image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:48:15.342453image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:48:15.897337image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:48:16.288476image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:48:16.681009image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:48:17.176548image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:48:15.470391image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:48:15.988141image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:48:16.375243image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:48:16.757140image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:48:17.263689image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:48:15.668449image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:48:16.069465image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:48:16.451249image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:48:16.838909image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:48:17.363256image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:48:15.735146image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:48:16.138046image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:48:16.520537image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:48:16.922248image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:48:17.445104image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:48:15.808534image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:48:16.209696image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:48:16.599086image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:48:17.001535image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-04-21T10:48:19.995805image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
세목명과세년도비과세금액감면금액부과금액비과세감면율
세목명1.0000.0000.6640.7500.8950.831
과세년도0.0001.0000.0000.0000.0000.000
비과세금액0.6640.0001.0000.8740.7500.921
감면금액0.7500.0000.8741.0000.7440.891
부과금액0.8950.0000.7500.7441.0000.667
비과세감면율0.8310.0000.9210.8910.6671.000
2024-04-21T10:48:20.094391image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
과세년도비과세금액감면금액부과금액비과세감면율세목명
과세년도1.000-0.043-0.0410.127-0.0580.000
비과세금액-0.0431.0000.8210.3270.8750.268
감면금액-0.0410.8211.0000.6280.7590.530
부과금액0.1270.3270.6281.0000.2590.513
비과세감면율-0.0580.8750.7590.2591.0000.578
세목명0.0000.2680.5300.5130.5781.000

Missing values

2024-04-21T10:48:17.576056image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-04-21T10:48:17.701330image/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

시도명시군구명자치단체코드세목명과세년도비과세금액감면금액부과금액비과세감면율
0전라남도장흥군46800교육세20170425800026217290000.16
1전라남도장흥군46800등록세2017<NA>461500000.0
2전라남도장흥군46800재산세20171111054000363051000239870500061.45
3전라남도장흥군46800주민세20171539000033340004588510004.08
4전라남도장흥군46800취득세20178308900001737663000694154900037.0
5전라남도장흥군46800자동차세20179043000019745900055512620005.19
6전라남도장흥군46800등록면허세201762180007378800055837800014.33
7전라남도장흥군46800지역자원시설세2017707650002089700034028400026.94
8전라남도장흥군46800교육세20180467000030753810000.15
9전라남도장흥군46800등록세2018<NA>1776100000.0
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39전라남도장흥군46800지역자원시설세2021925870001722000045964700023.89
40전라남도장흥군46800교육세202206200031693120000.0
41전라남도장흥군46800등록세2022<NA>124400000.0
42전라남도장흥군46800재산세20222056818000451567000329081600076.22
43전라남도장흥군46800주민세2022091110006281250001.45
44전라남도장흥군46800취득세202211391340002364319000854410500041.0
45전라남도장흥군46800자동차세20225131800016904600049971640004.41
46전라남도장흥군46800등록면허세20224701000698010009533920007.81
47전라남도장흥군46800지역자원시설세20221094360001806900047744500026.71