Overview

Dataset statistics

Number of variables12
Number of observations89
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory9.0 KiB
Average record size in memory103.5 B

Variable types

Numeric4
Categorical6
Boolean1
DateTime1

Dataset

Description충청북도 음성군 지방세 납부 현황에 대한 데이터로 과세년도 2021년 지방세 세목별 납부 건수, 금액에 대해 안내합니다.
URLhttps://www.data.go.kr/data/15080042/fileData.do

Alerts

시도명 has constant value ""Constant
시군구명 has constant value ""Constant
자치단체코드 has constant value ""Constant
납부년도 has constant value ""Constant
데이터기준일자 has constant value ""Constant
연번 is highly overall correlated with 납부매체 and 1 other fieldsHigh correlation
납부건수 is highly overall correlated with 납부금액 and 1 other fieldsHigh correlation
납부금액 is highly overall correlated with 납부건수 and 1 other fieldsHigh correlation
납부매체비율 is highly overall correlated with 납부건수 and 1 other fieldsHigh correlation
납부매체 is highly overall correlated with 연번 and 1 other fieldsHigh correlation
납부매체전자고지여부 is highly overall correlated with 연번 and 1 other fieldsHigh correlation
연번 has unique valuesUnique
납부금액 has unique valuesUnique
납부매체비율 has 2 (2.2%) zerosZeros

Reproduction

Analysis started2023-12-12 13:53:26.202017
Analysis finished2023-12-12 13:53:28.978846
Duration2.78 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct89
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean45
Minimum1
Maximum89
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size933.0 B
2023-12-12T22:53:29.074940image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile5.4
Q123
median45
Q367
95-th percentile84.6
Maximum89
Range88
Interquartile range (IQR)44

Descriptive statistics

Standard deviation25.836021
Coefficient of variation (CV)0.57413381
Kurtosis-1.2
Mean45
Median Absolute Deviation (MAD)22
Skewness0
Sum4005
Variance667.5
MonotonicityStrictly increasing
2023-12-12T22:53:29.239419image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
1.1%
68 1
 
1.1%
66 1
 
1.1%
65 1
 
1.1%
64 1
 
1.1%
63 1
 
1.1%
62 1
 
1.1%
61 1
 
1.1%
60 1
 
1.1%
59 1
 
1.1%
Other values (79) 79
88.8%
ValueCountFrequency (%)
1 1
1.1%
2 1
1.1%
3 1
1.1%
4 1
1.1%
5 1
1.1%
6 1
1.1%
7 1
1.1%
8 1
1.1%
9 1
1.1%
10 1
1.1%
ValueCountFrequency (%)
89 1
1.1%
88 1
1.1%
87 1
1.1%
86 1
1.1%
85 1
1.1%
84 1
1.1%
83 1
1.1%
82 1
1.1%
81 1
1.1%
80 1
1.1%

시도명
Categorical

CONSTANT 

Distinct1
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size844.0 B
충청북도
89 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
충청북도 89
100.0%

Length

2023-12-12T22:53:29.383787image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T22:53:29.533278image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
충청북도 89
100.0%

시군구명
Categorical

CONSTANT 

Distinct1
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size844.0 B
음성군
89 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
음성군 89
100.0%

Length

2023-12-12T22:53:29.663440image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T22:53:29.797567image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
음성군 89
100.0%

자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size844.0 B
43770
89 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row43770
2nd row43770
3rd row43770
4th row43770
5th row43770

Common Values

ValueCountFrequency (%)
43770 89
100.0%

Length

2023-12-12T22:53:29.917102image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T22:53:30.064557image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
43770 89
100.0%

납부년도
Categorical

CONSTANT 

Distinct1
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size844.0 B
2021
89 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2021
2nd row2021
3rd row2021
4th row2021
5th row2021

Common Values

ValueCountFrequency (%)
2021 89
100.0%

Length

2023-12-12T22:53:30.182932image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T22:53:30.277684image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2021 89
100.0%

세목명
Categorical

Distinct12
Distinct (%)13.5%
Missing0
Missing (%)0.0%
Memory size844.0 B
자동차세
11 
재산세
11 
주민세
11 
등록면허세
11 
지방소득세
9 
Other values (7)
36 

Length

Max length7
Median length5
Mean length4.1348315
Min length3

Unique

Unique1 ?
Unique (%)1.1%

Sample

1st row자동차세
2nd row재산세
3rd row종합토지세
4th row주민세
5th row지방소득세

Common Values

ValueCountFrequency (%)
자동차세 11
12.4%
재산세 11
12.4%
주민세 11
12.4%
등록면허세 11
12.4%
지방소득세 9
10.1%
취득세 9
10.1%
지역자원시설세 8
9.0%
등록세 7
7.9%
종합토지세 5
5.6%
담배소비세 3
 
3.4%
Other values (2) 4
 
4.5%

Length

2023-12-12T22:53:30.382972image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
자동차세 11
12.4%
재산세 11
12.4%
주민세 11
12.4%
등록면허세 11
12.4%
지방소득세 9
10.1%
취득세 9
10.1%
지역자원시설세 8
9.0%
등록세 7
7.9%
종합토지세 5
5.6%
담배소비세 3
 
3.4%
Other values (2) 4
 
4.5%

납부매체
Categorical

HIGH CORRELATION 

Distinct10
Distinct (%)11.2%
Missing0
Missing (%)0.0%
Memory size844.0 B
ARS
12 
은행창구
11 
위택스
10 
지자체방문
10 
가상계좌
10 
Other values (5)
36 

Length

Max length5
Median length4
Mean length3.9550562
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
ARS 12
13.5%
은행창구 11
12.4%
위택스 10
11.2%
지자체방문 10
11.2%
가상계좌 10
11.2%
자동화기기 9
10.1%
기타 8
9.0%
인터넷지로 8
9.0%
페이사납부 7
7.9%
자동이체 4
 
4.5%

Length

2023-12-12T22:53:30.533817image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T22:53:30.731146image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
ars 12
13.5%
은행창구 11
12.4%
위택스 10
11.2%
지자체방문 10
11.2%
가상계좌 10
11.2%
자동화기기 9
10.1%
기타 8
9.0%
인터넷지로 8
9.0%
페이사납부 7
7.9%
자동이체 4
 
4.5%

납부매체전자고지여부
Boolean

HIGH CORRELATION 

Distinct2
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Memory size221.0 B
False
46 
True
43 
ValueCountFrequency (%)
False 46
51.7%
True 43
48.3%
2023-12-12T22:53:30.896650image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

납부건수
Real number (ℝ)

HIGH CORRELATION 

Distinct75
Distinct (%)84.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4287.7079
Minimum1
Maximum49348
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size933.0 B
2023-12-12T22:53:31.034113image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q112
median951
Q33997
95-th percentile23203.2
Maximum49348
Range49347
Interquartile range (IQR)3985

Descriptive statistics

Standard deviation9103.5007
Coefficient of variation (CV)2.1231625
Kurtosis13.40804
Mean4287.7079
Median Absolute Deviation (MAD)947
Skewness3.5202327
Sum381606
Variance82873725
MonotonicityNot monotonic
2023-12-12T22:53:31.196573image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 7
 
7.9%
4 4
 
4.5%
10 3
 
3.4%
6 2
 
2.2%
12 2
 
2.2%
15 2
 
2.2%
503 1
 
1.1%
1524 1
 
1.1%
989 1
 
1.1%
139 1
 
1.1%
Other values (65) 65
73.0%
ValueCountFrequency (%)
1 7
7.9%
2 1
 
1.1%
3 1
 
1.1%
4 4
4.5%
5 1
 
1.1%
6 2
 
2.2%
7 1
 
1.1%
9 1
 
1.1%
10 3
3.4%
12 2
 
2.2%
ValueCountFrequency (%)
49348 1
1.1%
49062 1
1.1%
31477 1
1.1%
27826 1
1.1%
25160 1
1.1%
20268 1
1.1%
19459 1
1.1%
11391 1
1.1%
10378 1
1.1%
8851 1
1.1%

납부금액
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct89
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.7468474 × 109
Minimum2160
Maximum3.9664506 × 1010
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size933.0 B
2023-12-12T22:53:31.380481image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2160
5-th percentile10220
Q13154300
median1.4081469 × 108
Q32.2641094 × 109
95-th percentile1.4543338 × 1010
Maximum3.9664506 × 1010
Range3.9664504 × 1010
Interquartile range (IQR)2.2609551 × 109

Descriptive statistics

Standard deviation6.1053607 × 109
Coefficient of variation (CV)2.2226792
Kurtosis16.194081
Mean2.7468474 × 109
Median Absolute Deviation (MAD)1.408099 × 108
Skewness3.6054886
Sum2.4446942 × 1011
Variance3.727543 × 1019
MonotonicityNot monotonic
2023-12-12T22:53:31.571796image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
13022390 1
 
1.1%
27800 1
 
1.1%
20376370 1
 
1.1%
2160 1
 
1.1%
702720 1
 
1.1%
6704920 1
 
1.1%
98275270 1
 
1.1%
174914430 1
 
1.1%
1356310 1
 
1.1%
3391053690 1
 
1.1%
Other values (79) 79
88.8%
ValueCountFrequency (%)
2160 1
1.1%
4520 1
1.1%
4730 1
1.1%
4790 1
1.1%
6300 1
1.1%
16100 1
1.1%
20600 1
1.1%
27800 1
1.1%
56700 1
1.1%
84620 1
1.1%
ValueCountFrequency (%)
39664505920 1
1.1%
23659588670 1
1.1%
17494212000 1
1.1%
17059102800 1
1.1%
15823874760 1
1.1%
12622532150 1
1.1%
12006206650 1
1.1%
11965642000 1
1.1%
11699718410 1
1.1%
9853946980 1
1.1%

납부매체비율
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct73
Distinct (%)82.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11.23573
Minimum0
Maximum64.65
Zeros2
Zeros (%)2.2%
Negative0
Negative (%)0.0%
Memory size933.0 B
2023-12-12T22:53:31.778602image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.01
Q10.08
median7.34
Q317.5
95-th percentile38.162
Maximum64.65
Range64.65
Interquartile range (IQR)17.42

Descriptive statistics

Standard deviation13.365908
Coefficient of variation (CV)1.1895896
Kurtosis2.3955115
Mean11.23573
Median Absolute Deviation (MAD)7.3
Skewness1.4895578
Sum999.98
Variance178.64749
MonotonicityNot monotonic
2023-12-12T22:53:31.965598image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.01 8
 
9.0%
0.03 4
 
4.5%
0.02 3
 
3.4%
0.07 2
 
2.2%
0.0 2
 
2.2%
15.47 2
 
2.2%
0.04 2
 
2.2%
20.91 1
 
1.1%
35.04 1
 
1.1%
37.88 1
 
1.1%
Other values (63) 63
70.8%
ValueCountFrequency (%)
0.0 2
 
2.2%
0.01 8
9.0%
0.02 3
 
3.4%
0.03 4
4.5%
0.04 2
 
2.2%
0.06 1
 
1.1%
0.07 2
 
2.2%
0.08 1
 
1.1%
0.09 1
 
1.1%
0.1 1
 
1.1%
ValueCountFrequency (%)
64.65 1
1.1%
48.08 1
1.1%
44.27 1
1.1%
40.24 1
1.1%
38.35 1
1.1%
37.88 1
1.1%
35.04 1
1.1%
31.38 1
1.1%
29.93 1
1.1%
27.44 1
1.1%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size844.0 B
Minimum2021-12-31 00:00:00
Maximum2021-12-31 00:00:00
2023-12-12T22:53:32.103328image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:53:32.216823image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2023-12-12T22:53:28.258718image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:53:26.907882image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:53:27.330232image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:53:27.782345image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:53:28.353169image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:53:26.994299image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:53:27.443477image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:53:27.893389image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:53:28.443406image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:53:27.095990image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:53:27.543030image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:53:28.014019image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:53:28.564966image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:53:27.214878image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:53:27.679268image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:53:28.150310image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T22:53:32.313138image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번세목명납부매체납부매체전자고지여부납부건수납부금액납부매체비율
연번1.0000.0000.9820.7780.3770.0000.247
세목명0.0001.0000.0000.0000.0000.3210.249
납부매체0.9820.0001.0000.9940.3300.1770.374
납부매체전자고지여부0.7780.0000.9941.0000.2670.0640.000
납부건수0.3770.0000.3300.2671.0000.5660.700
납부금액0.0000.3210.1770.0640.5661.0000.000
납부매체비율0.2470.2490.3740.0000.7000.0001.000
2023-12-12T22:53:32.424994image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
납부매체납부매체전자고지여부세목명
납부매체1.0000.8870.000
납부매체전자고지여부0.8871.0000.000
세목명0.0000.0001.000
2023-12-12T22:53:32.530644image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번납부건수납부금액납부매체비율세목명납부매체납부매체전자고지여부
연번1.000-0.059-0.210-0.0660.0000.7600.576
납부건수-0.0591.0000.8360.8700.0000.1580.191
납부금액-0.2100.8361.0000.7160.1580.0900.045
납부매체비율-0.0660.8700.7161.0000.0980.1750.000
세목명0.0000.0000.1580.0981.0000.0000.000
납부매체0.7600.1580.0900.1750.0001.0000.887
납부매체전자고지여부0.5760.1910.0450.0000.0000.8871.000

Missing values

2023-12-12T22:53:28.702706image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T22:53:28.901852image/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

연번시도명시군구명자치단체코드납부년도세목명납부매체납부매체전자고지여부납부건수납부금액납부매체비율데이터기준일자
01충청북도음성군437702021자동차세기타N5031302239010.892021-12-31
12충청북도음성군437702021재산세기타N48314081469010.462021-12-31
23충청북도음성군437702021종합토지세기타N10128487200.222021-12-31
34충청북도음성군437702021주민세기타N4281804153009.272021-12-31
45충청북도음성군437702021지방소득세기타N2986275096750064.652021-12-31
56충청북도음성군437702021지방소비세기타N7119656420000.152021-12-31
67충청북도음성군437702021취득세기타N1299316100.262021-12-31
78충청북도음성군437702021담배소비세위택스Y466170591028000.822021-12-31
89충청북도음성군437702021등록면허세위택스Y25160594379274044.272021-12-31
910충청북도음성군437702021등록세위택스Y312849092900.552021-12-31
연번시도명시군구명자치단체코드납부년도세목명납부매체납부매체전자고지여부납부건수납부금액납부매체비율데이터기준일자
7980충청북도음성군437702021등록면허세가상계좌Y1945952528190010.822021-12-31
8081충청북도음성군437702021등록세가상계좌Y1220091000.012021-12-31
8182충청북도음성군437702021자동차세가상계좌Y49062730360243027.282021-12-31
8283충청북도음성군437702021재산세가상계좌Y493481582387476027.442021-12-31
8384충청북도음성군437702021종합토지세가상계좌Y147300.02021-12-31
8485충청북도음성군437702021주민세가상계좌Y31477398083948017.52021-12-31
8586충청북도음성군437702021지방소득세가상계좌Y278262365958867015.472021-12-31
8687충청북도음성군437702021지역자원시설세가상계좌Y6236734600.032021-12-31
8788충청북도음성군437702021취득세가상계좌Y257398539469801.432021-12-31
8889충청북도음성군437702021등록면허세기타N19023045304.112021-12-31