Overview

Dataset statistics

Number of variables10
Number of observations81
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory6.9 KiB
Average record size in memory86.6 B

Variable types

Categorical6
Boolean1
Numeric3

Dataset

Description지방세 납부현황(시도명, 시군구명, 자치단체코드, 납부년도, 세목명, 납부매체, 납부매체전자고지여부, 납부건수, 납부금액, 납부매체비율)
URLhttps://www.data.go.kr/data/15078242/fileData.do

Alerts

시도명 has constant value ""Constant
시군구명 has constant value ""Constant
자치단체코드 has constant value ""Constant
납부년도 has constant value ""Constant
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 납부매체전자고지여부High correlation
납부매체전자고지여부 is highly overall correlated with 납부매체High correlation
납부금액 has unique valuesUnique
납부매체비율 has 7 (8.6%) zerosZeros

Reproduction

Analysis started2023-12-12 13:04:19.487695
Analysis finished2023-12-12 13:04:20.931359
Duration1.44 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시도명
Categorical

CONSTANT 

Distinct1
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size780.0 B
전라남도
81 

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 81
100.0%

Length

2023-12-12T22:04:21.018699image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T22:04:21.143036image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
전라남도 81
100.0%

시군구명
Categorical

CONSTANT 

Distinct1
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size780.0 B
목포시
81 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
목포시 81
100.0%

Length

2023-12-12T22:04:21.289323image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T22:04:21.420042image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
목포시 81
100.0%

자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size780.0 B
46110
81 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row46110
2nd row46110
3rd row46110
4th row46110
5th row46110

Common Values

ValueCountFrequency (%)
46110 81
100.0%

Length

2023-12-12T22:04:21.552602image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T22:04:21.698491image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
46110 81
100.0%

납부년도
Categorical

CONSTANT 

Distinct1
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size780.0 B
2022
81 

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 81
100.0%

Length

2023-12-12T22:04:21.842672image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T22:04:21.972285image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2022 81
100.0%

세목명
Categorical

Distinct13
Distinct (%)16.0%
Missing0
Missing (%)0.0%
Memory size780.0 B
등록면허세
11 
자동차세
11 
재산세
11 
주민세
11 
취득세
9 
Other values (8)
28 

Length

Max length7
Median length5
Mean length4.0246914
Min length3

Unique

Unique2 ?
Unique (%)2.5%

Sample

1st row지역자원시설세
2nd row취득세
3rd row담배소비세
4th row등록면허세
5th row등록세

Common Values

ValueCountFrequency (%)
등록면허세 11
13.6%
자동차세 11
13.6%
재산세 11
13.6%
주민세 11
13.6%
취득세 9
11.1%
지방소득세 9
11.1%
지역자원시설세 5
6.2%
면허세 4
 
4.9%
등록세 3
 
3.7%
종합토지세 3
 
3.7%
Other values (3) 4
 
4.9%

Length

2023-12-12T22:04:22.126311image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
등록면허세 11
13.6%
자동차세 11
13.6%
재산세 11
13.6%
주민세 11
13.6%
취득세 9
11.1%
지방소득세 9
11.1%
지역자원시설세 5
6.2%
면허세 4
 
4.9%
등록세 3
 
3.7%
종합토지세 3
 
3.7%
Other values (3) 4
 
4.9%

납부매체
Categorical

HIGH CORRELATION 

Distinct10
Distinct (%)12.3%
Missing0
Missing (%)0.0%
Memory size780.0 B
ARS
12 
가상계좌
11 
위택스
10 
기타
8 
은행창구
8 
Other values (5)
32 

Length

Max length5
Median length4
Mean length3.8765432
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowARS
2nd rowARS
3rd row가상계좌
4th row가상계좌
5th row가상계좌

Common Values

ValueCountFrequency (%)
ARS 12
14.8%
가상계좌 11
13.6%
위택스 10
12.3%
기타 8
9.9%
은행창구 8
9.9%
자동화기기 8
9.9%
지자체방문 8
9.9%
인터넷지로 6
7.4%
페이사납부 6
7.4%
자동이체 4
 
4.9%

Length

2023-12-12T22:04:22.337878image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T22:04:22.531843image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
ars 12
14.8%
가상계좌 11
13.6%
위택스 10
12.3%
기타 8
9.9%
은행창구 8
9.9%
자동화기기 8
9.9%
지자체방문 8
9.9%
인터넷지로 6
7.4%
페이사납부 6
7.4%
자동이체 4
 
4.9%

납부매체전자고지여부
Boolean

HIGH CORRELATION 

Distinct2
Distinct (%)2.5%
Missing0
Missing (%)0.0%
Memory size213.0 B
True
41 
False
40 
ValueCountFrequency (%)
True 41
50.6%
False 40
49.4%
2023-12-12T22:04:22.707131image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

납부건수
Real number (ℝ)

HIGH CORRELATION 

Distinct69
Distinct (%)85.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6546.679
Minimum1
Maximum91963
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size861.0 B
2023-12-12T22:04:22.843874image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q122
median1376
Q35761
95-th percentile27147
Maximum91963
Range91962
Interquartile range (IQR)5739

Descriptive statistics

Standard deviation14928.262
Coefficient of variation (CV)2.2802802
Kurtosis17.751489
Mean6546.679
Median Absolute Deviation (MAD)1373
Skewness3.9923706
Sum530281
Variance2.2285301 × 108
MonotonicityNot monotonic
2023-12-12T22:04:22.981080image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 5
 
6.2%
3 3
 
3.7%
5 3
 
3.7%
2 3
 
3.7%
760 2
 
2.5%
16 2
 
2.5%
26890 1
 
1.2%
319 1
 
1.2%
8759 1
 
1.2%
36 1
 
1.2%
Other values (59) 59
72.8%
ValueCountFrequency (%)
1 5
6.2%
2 3
3.7%
3 3
3.7%
5 3
3.7%
6 1
 
1.2%
7 1
 
1.2%
8 1
 
1.2%
10 1
 
1.2%
16 2
 
2.5%
22 1
 
1.2%
ValueCountFrequency (%)
91963 1
1.2%
68806 1
1.2%
59612 1
1.2%
28909 1
1.2%
27147 1
1.2%
26890 1
1.2%
18941 1
1.2%
17112 1
1.2%
16022 1
1.2%
15331 1
1.2%

납부금액
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct81
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.657915 × 109
Minimum10500
Maximum2.7705966 × 1010
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size861.0 B
2023-12-12T22:04:23.140115image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum10500
5-th percentile47240
Q13121190
median2.783699 × 108
Q31.5421949 × 109
95-th percentile1.5523537 × 1010
Maximum2.7705966 × 1010
Range2.7705955 × 1010
Interquartile range (IQR)1.5390738 × 109

Descriptive statistics

Standard deviation5.5272214 × 109
Coefficient of variation (CV)2.0795328
Kurtosis7.3198625
Mean2.657915 × 109
Median Absolute Deviation (MAD)2.7831583 × 108
Skewness2.7155327
Sum2.1529111 × 1011
Variance3.0550177 × 1019
MonotonicityNot monotonic
2023-12-12T22:04:23.278244image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
59010 1
 
1.2%
15280 1
 
1.2%
509957680 1
 
1.2%
10500 1
 
1.2%
5817940 1
 
1.2%
21842819370 1
 
1.2%
470780 1
 
1.2%
858228650 1
 
1.2%
278369900 1
 
1.2%
5114973230 1
 
1.2%
Other values (71) 71
87.7%
ValueCountFrequency (%)
10500 1
1.2%
15280 1
1.2%
15360 1
1.2%
15750 1
1.2%
47240 1
1.2%
53750 1
1.2%
54070 1
1.2%
59010 1
1.2%
97560 1
1.2%
160470 1
1.2%
ValueCountFrequency (%)
27705965790 1
1.2%
21842819370 1
1.2%
19353985680 1
1.2%
17877780320 1
1.2%
15523537120 1
1.2%
14089126150 1
1.2%
11422189690 1
1.2%
10364765460 1
1.2%
9639826290 1
1.2%
9420500430 1
1.2%

납부매체비율
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct68
Distinct (%)84.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12.345309
Minimum0
Maximum58.45
Zeros7
Zeros (%)8.6%
Negative0
Negative (%)0.0%
Memory size861.0 B
2023-12-12T22:04:23.432801image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.08
median9.18
Q323.54
95-th percentile33.63
Maximum58.45
Range58.45
Interquartile range (IQR)23.46

Descriptive statistics

Standard deviation13.68621
Coefficient of variation (CV)1.1086163
Kurtosis0.89868221
Mean12.345309
Median Absolute Deviation (MAD)9.13
Skewness1.133184
Sum999.97
Variance187.31235
MonotonicityNot monotonic
2023-12-12T22:04:23.566152image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 7
 
8.6%
0.05 3
 
3.7%
0.02 3
 
3.7%
0.03 2
 
2.5%
0.07 2
 
2.5%
0.01 2
 
2.5%
33.63 1
 
1.2%
49.51 1
 
1.2%
5.84 1
 
1.2%
10.96 1
 
1.2%
Other values (58) 58
71.6%
ValueCountFrequency (%)
0.0 7
8.6%
0.01 2
 
2.5%
0.02 3
3.7%
0.03 2
 
2.5%
0.04 1
 
1.2%
0.05 3
3.7%
0.07 2
 
2.5%
0.08 1
 
1.2%
0.09 1
 
1.2%
0.14 1
 
1.2%
ValueCountFrequency (%)
58.45 1
1.2%
49.51 1
1.2%
46.44 1
1.2%
42.81 1
1.2%
33.63 1
1.2%
33.0 1
1.2%
32.36 1
1.2%
29.29 1
1.2%
29.17 1
1.2%
28.47 1
1.2%

Interactions

2023-12-12T22:04:20.336291image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:04:19.780831image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:04:20.049596image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:04:20.422018image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:04:19.850572image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:04:20.140401image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:04:20.530677image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:04:19.926222image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:04:20.236214image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T22:04:23.660789image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
세목명납부매체납부매체전자고지여부납부건수납부금액납부매체비율
세목명1.0000.0000.0000.0000.5110.154
납부매체0.0001.0000.9920.1900.0000.047
납부매체전자고지여부0.0000.9921.0000.0000.0000.000
납부건수0.0000.1900.0001.0000.6470.482
납부금액0.5110.0000.0000.6471.0000.044
납부매체비율0.1540.0470.0000.4820.0441.000
2023-12-12T22:04:23.770048image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
납부매체전자고지여부납부매체세목명
납부매체전자고지여부1.0000.8750.000
납부매체0.8751.0000.000
세목명0.0000.0001.000
2023-12-12T22:04:23.883436image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
납부건수납부금액납부매체비율세목명납부매체납부매체전자고지여부
납부건수1.0000.8310.8340.0000.0870.000
납부금액0.8311.0000.6730.2520.0000.000
납부매체비율0.8340.6731.0000.0460.0000.000
세목명0.0000.2520.0461.0000.0000.000
납부매체0.0870.0000.0000.0001.0000.875
납부매체전자고지여부0.0000.0000.0000.0000.8751.000

Missing values

2023-12-12T22:04:20.671424image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T22:04:20.850249image/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

시도명시군구명자치단체코드납부년도세목명납부매체납부매체전자고지여부납부건수납부금액납부매체비율
0전라남도목포시461102022지역자원시설세ARSN3590100.03
1전라남도목포시461102022취득세ARSN8409320200.07
2전라남도목포시461102022담배소비세가상계좌Y3975600.0
3전라남도목포시461102022등록면허세가상계좌Y271476057763209.74
4전라남도목포시461102022등록세가상계좌Y11664600.0
5전라남도목포시461102022면허세가상계좌Y5537500.0
6전라남도목포시461102022자동차세가상계좌Y919631408912615033.0
7전라남도목포시461102022재산세가상계좌Y688061552353712024.69
8전라남도목포시461102022종합토지세가상계좌Y59131400.0
9전라남도목포시461102022주민세가상계좌Y59612195582107021.39
시도명시군구명자치단체코드납부년도세목명납부매체납부매체전자고지여부납부건수납부금액납부매체비율
71전라남도목포시461102022등록면허세ARSN31153873602.73
72전라남도목포시461102022등록면허세ARSY3540700.03
73전라남도목포시461102022면허세ARSN1157500.01
74전라남도목포시461102022자동차세ARSN6652144657419058.45
75전라남도목포시461102022자동차세ARSY108794100.09
76전라남도목포시461102022재산세ARSN293961755668025.83
77전라남도목포시461102022재산세ARSY63577500.05
78전라남도목포시461102022주민세ARSN12852136488011.29
79전라남도목포시461102022주민세ARSY162214800.14
80전라남도목포시461102022지방소득세ARSN146279756201.28