Overview

Dataset statistics

Number of variables9
Number of observations28
Missing cells1
Missing cells (%)0.4%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.3 KiB
Average record size in memory82.7 B

Variable types

Categorical5
Numeric4

Dataset

Description과세액 중 비과세액과 감면액이 차지하는 비율 현황 제공(시도명,시군구명,자치단체코드,세목명,과세년도,비과세금액,감면금액,부과금액,비과세감면율)
URLhttps://www.data.go.kr/data/15080173/fileData.do

Alerts

시도명 has constant value ""Constant
과세년도 has constant value ""Constant
시군구명 is highly overall correlated with 자치단체코드High correlation
자치단체코드 is highly overall correlated with 시군구명High correlation
비과세금액 is highly overall correlated with 감면금액 and 1 other fieldsHigh correlation
감면금액 is highly overall correlated with 비과세금액 and 2 other fieldsHigh correlation
부과금액 is highly overall correlated with 감면금액High correlation
비과세감면율 is highly overall correlated with 비과세금액 and 1 other fieldsHigh correlation
비과세금액 has 1 (3.6%) missing valuesMissing
감면금액 has unique valuesUnique
부과금액 has unique valuesUnique
비과세금액 has 3 (10.7%) zerosZeros
부과금액 has 1 (3.6%) zerosZeros
비과세감면율 has 4 (14.3%) zerosZeros

Reproduction

Analysis started2023-12-12 14:05:27.636411
Analysis finished2023-12-12 14:05:29.521324
Duration1.88 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
경기도
28 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
경기도 28
100.0%

Length

2023-12-12T23:05:29.591321image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T23:05:29.701792image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
경기도 28
100.0%

시군구명
Categorical

HIGH CORRELATION 

Distinct4
Distinct (%)14.3%
Missing0
Missing (%)0.0%
Memory size356.0 B
수원시팔달구
8 
수원시장안구
7 
수원시권선구
7 
수원시영통구
6 

Length

Max length6
Median length6
Mean length6
Min length6

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
수원시팔달구 8
28.6%
수원시장안구 7
25.0%
수원시권선구 7
25.0%
수원시영통구 6
21.4%

Length

2023-12-12T23:05:29.823191image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T23:05:29.997470image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
수원시팔달구 8
28.6%
수원시장안구 7
25.0%
수원시권선구 7
25.0%
수원시영통구 6
21.4%

자치단체코드
Categorical

HIGH CORRELATION 

Distinct4
Distinct (%)14.3%
Missing0
Missing (%)0.0%
Memory size356.0 B
41115
8 
41111
7 
41113
7 
41117
6 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row41111
2nd row41111
3rd row41111
4th row41111
5th row41111

Common Values

ValueCountFrequency (%)
41115 8
28.6%
41111 7
25.0%
41113 7
25.0%
41117 6
21.4%

Length

2023-12-12T23:05:30.132965image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T23:05:30.263051image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
41115 8
28.6%
41111 7
25.0%
41113 7
25.0%
41117 6
21.4%

세목명
Categorical

Distinct8
Distinct (%)28.6%
Missing0
Missing (%)0.0%
Memory size356.0 B
재산세
4 
주민세
4 
취득세
4 
자동차세
4 
등록면허세
4 
Other values (3)
8 

Length

Max length7
Median length3
Mean length4
Min length3

Unique

Unique1 ?
Unique (%)3.6%

Sample

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

Common Values

ValueCountFrequency (%)
재산세 4
14.3%
주민세 4
14.3%
취득세 4
14.3%
자동차세 4
14.3%
등록면허세 4
14.3%
지역자원시설세 4
14.3%
교육세 3
10.7%
등록세 1
 
3.6%

Length

2023-12-12T23:05:30.407212image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T23:05:30.532258image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
재산세 4
14.3%
주민세 4
14.3%
취득세 4
14.3%
자동차세 4
14.3%
등록면허세 4
14.3%
지역자원시설세 4
14.3%
교육세 3
10.7%
등록세 1
 
3.6%

과세년도
Categorical

CONSTANT 

Distinct1
Distinct (%)3.6%
Missing0
Missing (%)0.0%
Memory size356.0 B
2022
28 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2022
2nd row2022
3rd row2022
4th row2022
5th row2022

Common Values

ValueCountFrequency (%)
2022 28
100.0%

Length

2023-12-12T23:05:30.665200image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T23:05:30.751987image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2022 28
100.0%

비과세금액
Real number (ℝ)

HIGH CORRELATION  MISSING  ZEROS 

Distinct25
Distinct (%)92.6%
Missing1
Missing (%)3.6%
Infinite0
Infinite (%)0.0%
Mean6.1777854 × 109
Minimum0
Maximum5.2470377 × 1010
Zeros3
Zeros (%)10.7%
Negative0
Negative (%)0.0%
Memory size384.0 B
2023-12-12T23:05:30.842139image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q19248000
median2.14844 × 108
Q34.423414 × 109
95-th percentile3.2575488 × 1010
Maximum5.2470377 × 1010
Range5.2470377 × 1010
Interquartile range (IQR)4.414166 × 109

Descriptive statistics

Standard deviation1.2874694 × 1010
Coefficient of variation (CV)2.0840306
Kurtosis6.6257438
Mean6.1777854 × 109
Median Absolute Deviation (MAD)2.14844 × 108
Skewness2.5733135
Sum1.6680021 × 1011
Variance1.6575775 × 1020
MonotonicityNot monotonic
2023-12-12T23:05:31.319485image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
0 3
 
10.7%
19670271000 1
 
3.6%
834317000 1
 
3.6%
22648000 1
 
3.6%
93673000 1
 
3.6%
9611042000 1
 
3.6%
2150000 1
 
3.6%
37556535000 1
 
3.6%
269925000 1
 
3.6%
10248000 1
 
3.6%
Other values (15) 15
53.6%
ValueCountFrequency (%)
0 3
10.7%
1406000 1
 
3.6%
2150000 1
 
3.6%
8023000 1
 
3.6%
8248000 1
 
3.6%
10248000 1
 
3.6%
22648000 1
 
3.6%
41260000 1
 
3.6%
93673000 1
 
3.6%
146646000 1
 
3.6%
ValueCountFrequency (%)
52470377000 1
3.6%
37556535000 1
3.6%
20953044000 1
3.6%
19670271000 1
3.6%
14488071000 1
3.6%
9611042000 1
3.6%
6378196000 1
3.6%
2468632000 1
3.6%
834317000 1
3.6%
560949000 1
3.6%

감면금액
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct28
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.3800084 × 1010
Minimum4000
Maximum2.8058822 × 1011
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size384.0 B
2023-12-12T23:05:31.454878image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4000
5-th percentile6750
Q162349000
median2.598805 × 108
Q36.3036375 × 109
95-th percentile2.6373538 × 1010
Maximum2.8058822 × 1011
Range2.8058821 × 1011
Interquartile range (IQR)6.2412885 × 109

Descriptive statistics

Standard deviation5.278417 × 1010
Coefficient of variation (CV)3.8249164
Kurtosis26.834703
Mean1.3800084 × 1010
Median Absolute Deviation (MAD)2.59873 × 108
Skewness5.1383756
Sum3.8640236 × 1011
Variance2.7861686 × 1021
MonotonicityNot monotonic
2023-12-12T23:05:31.594112image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
10000 1
 
3.6%
614000 1
 
3.6%
310757000 1
 
3.6%
91788000 1
 
3.6%
681896000 1
 
3.6%
15326984000 1
 
3.6%
33246000 1
 
3.6%
12465244000 1
 
3.6%
115579000 1
 
3.6%
34284000 1
 
3.6%
Other values (18) 18
64.3%
ValueCountFrequency (%)
4000 1
3.6%
5000 1
3.6%
10000 1
3.6%
614000 1
3.6%
14819000 1
3.6%
33246000 1
3.6%
34284000 1
3.6%
71704000 1
3.6%
89062000 1
3.6%
91788000 1
3.6%
ValueCountFrequency (%)
280588216000 1
3.6%
32321682000 1
3.6%
15326984000 1
3.6%
12465244000 1
3.6%
11970228000 1
3.6%
11534885000 1
3.6%
6530589000 1
3.6%
6227987000 1
3.6%
5900102000 1
3.6%
681896000 1
3.6%

부과금액
Real number (ℝ)

HIGH CORRELATION  UNIQUE  ZEROS 

Distinct28
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.7724189 × 1010
Minimum0
Maximum2.0560439 × 1011
Zeros1
Zeros (%)3.6%
Negative0
Negative (%)0.0%
Memory size384.0 B
2023-12-12T23:05:31.722936image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile4.3263997 × 109
Q18.7094442 × 109
median2.7341608 × 1010
Q35.7656749 × 1010
95-th percentile1.7461033 × 1011
Maximum2.0560439 × 1011
Range2.0560439 × 1011
Interquartile range (IQR)4.8947305 × 1010

Descriptive statistics

Standard deviation5.5807269 × 1010
Coefficient of variation (CV)1.1693707
Kurtosis2.4711301
Mean4.7724189 × 1010
Median Absolute Deviation (MAD)2.1179464 × 1010
Skewness1.7184547
Sum1.3362773 × 1012
Variance3.1144512 × 1021
MonotonicityNot monotonic
2023-12-12T23:05:31.918378image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
21446213000 1
 
3.6%
0 1
 
3.6%
15315684000 1
 
3.6%
11990228000 1
 
3.6%
35622474000 1
 
3.6%
205604394000 1
 
3.6%
44837718000 1
 
3.6%
134433260000 1
 
3.6%
6464193000 1
 
3.6%
4930511000 1
 
3.6%
Other values (18) 18
64.3%
ValueCountFrequency (%)
0 1
3.6%
4001109000 1
3.6%
4930511000 1
3.6%
5134892000 1
3.6%
6464193000 1
3.6%
6672498000 1
3.6%
7498579000 1
3.6%
9113066000 1
3.6%
9438879000 1
3.6%
11990228000 1
3.6%
ValueCountFrequency (%)
205604394000 1
3.6%
196244143000 1
3.6%
134433260000 1
3.6%
112330423000 1
3.6%
99326319000 1
3.6%
79130392000 1
3.6%
71347163000 1
3.6%
53093278000 1
3.6%
50573470000 1
3.6%
48823122000 1
3.6%

비과세감면율
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct25
Distinct (%)89.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean18.973214
Minimum0
Maximum146.23
Zeros4
Zeros (%)14.3%
Negative0
Negative (%)0.0%
Memory size384.0 B
2023-12-12T23:05:32.045025image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.8475
median4.945
Q327.3925
95-th percentile66.7565
Maximum146.23
Range146.23
Interquartile range (IQR)26.545

Descriptive statistics

Standard deviation31.96434
Coefficient of variation (CV)1.6847088
Kurtosis8.8671896
Mean18.973214
Median Absolute Deviation (MAD)4.905
Skewness2.7270323
Sum531.25
Variance1021.7191
MonotonicityNot monotonic
2023-12-12T23:05:32.196966image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
0.0 4
 
14.3%
53.66 1
 
3.6%
7.48 1
 
3.6%
0.95 1
 
3.6%
2.18 1
 
3.6%
12.13 1
 
3.6%
0.08 1
 
3.6%
37.21 1
 
3.6%
5.96 1
 
3.6%
0.9 1
 
3.6%
Other values (15) 15
53.6%
ValueCountFrequency (%)
0.0 4
14.3%
0.08 1
 
3.6%
0.18 1
 
3.6%
0.69 1
 
3.6%
0.9 1
 
3.6%
0.95 1
 
3.6%
1.1 1
 
3.6%
1.2 1
 
3.6%
2.18 1
 
3.6%
2.46 1
 
3.6%
ValueCountFrequency (%)
146.23 1
3.6%
73.76 1
3.6%
53.75 1
3.6%
53.66 1
3.6%
37.21 1
3.6%
36.16 1
3.6%
30.97 1
3.6%
26.2 1
3.6%
18.62 1
3.6%
12.13 1
3.6%

Interactions

2023-12-12T23:05:28.923075image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:05:27.903135image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:05:28.219070image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:05:28.554534image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:05:29.005834image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:05:27.972788image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:05:28.296392image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:05:28.673775image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:05:29.107459image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:05:28.048522image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:05:28.378946image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:05:28.758770image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:05:29.208438image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:05:28.138350image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:05:28.454763image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:05:28.839507image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T23:05:32.354768image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
시군구명자치단체코드세목명비과세금액감면금액부과금액비과세감면율
시군구명1.0001.0000.0000.0000.0270.0000.104
자치단체코드1.0001.0000.0000.0000.0270.0000.104
세목명0.0000.0001.0000.5800.0000.8050.326
비과세금액0.0000.0000.5801.0000.5320.9330.973
감면금액0.0270.0270.0000.5321.0000.8520.960
부과금액0.0000.0000.8050.9330.8521.0000.790
비과세감면율0.1040.1040.3260.9730.9600.7901.000
2023-12-12T23:05:32.514182image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
시군구명자치단체코드세목명
시군구명1.0001.0000.000
자치단체코드1.0001.0000.000
세목명0.0000.0001.000
2023-12-12T23:05:32.625157image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
비과세금액감면금액부과금액비과세감면율시군구명자치단체코드세목명
비과세금액1.0000.8720.4790.9470.0000.0000.372
감면금액0.8721.0000.6310.8980.0000.0000.000
부과금액0.4790.6311.0000.4540.0000.0000.377
비과세감면율0.9470.8980.4541.0000.0000.0000.145
시군구명0.0000.0000.0000.0001.0001.0000.000
자치단체코드0.0000.0000.0000.0001.0001.0000.000
세목명0.3720.0000.3770.1450.0000.0001.000

Missing values

2023-12-12T23:05:29.341483image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T23:05:29.466210image/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
0경기도수원시장안구41111교육세2022010000214462130000.0
1경기도수원시장안구41111재산세20221967027100065305890004882312200053.66
2경기도수원시장안구41111주민세202219232800022165100051348920008.06
3경기도수원시장안구41111취득세202214488071000115348850009932631900026.2
4경기도수원시장안구41111자동차세2022214844000655475000221272770003.93
5경기도수원시장안구41111등록면허세202282480007170400066724980001.2
6경기도수원시장안구41111지역자원시설세2022446899000298110000400110900018.62
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9경기도수원시권선구41113주민세202214060001481900091130660000.18
시도명시군구명자치단체코드세목명과세년도비과세금액감면금액부과금액비과세감면율
18경기도수원시팔달구41115취득세202224686320003232168200011233042300030.97
19경기도수원시팔달구41115자동차세2022146646000637563000713471630001.1
20경기도수원시팔달구41115등록면허세2022102480003428400049305110000.9
21경기도수원시팔달구41115지역자원시설세202226992500011557900064641930005.96
22경기도수원시영통구41117재산세2022375565350001246524400013443326000037.21
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24경기도수원시영통구41117취득세202296110420001532698400020560439400012.13
25경기도수원시영통구41117자동차세202293673000681896000356224740002.18
26경기도수원시영통구41117등록면허세20222264800091788000119902280000.95
27경기도수원시영통구41117지역자원시설세2022834317000310757000153156840007.48