Overview

Dataset statistics

Number of variables10
Number of observations376
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory31.3 KiB
Average record size in memory85.4 B

Variable types

Categorical6
Boolean1
Numeric3

Dataset

Description신용카드 가상계좌 등 지방세 납부매체별 납부 현황(가상계좌, 신용카드,지로,신용카드포인트 등)전자송달 시장 규모 및 편익 분석, 수수료 산정시 기초자료 활용
Author전북특별자치도 완주군
URLhttps://www.data.go.kr/data/15078404/fileData.do

Alerts

시도명 has constant value ""Constant
시군구명 has constant value ""Constant
자치단체코드 has constant value ""Constant
납부매체 is highly overall correlated with 납부매체전자고지여부High correlation
납부매체전자고지여부 is highly overall correlated with 납부매체High 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
납부금액 has unique valuesUnique
납부매체비율 has 10 (2.7%) zerosZeros

Reproduction

Analysis started2024-04-21 01:46:46.606805
Analysis finished2024-04-21 01:46:49.304677
Duration2.7 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시도명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size3.1 KiB
전라북도
376 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
전라북도 376
100.0%

Length

2024-04-21T10:46:49.390797image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T10:46:49.533371image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
전라북도 376
100.0%

시군구명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size3.1 KiB
완주군
376 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
완주군 376
100.0%

Length

2024-04-21T10:46:49.649128image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T10:46:49.747675image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
완주군 376
100.0%

자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size3.1 KiB
45710
376 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row45710
2nd row45710
3rd row45710
4th row45710
5th row45710

Common Values

ValueCountFrequency (%)
45710 376
100.0%

Length

2024-04-21T10:46:49.828205image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T10:46:49.911927image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
45710 376
100.0%

납부년도
Categorical

Distinct5
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size3.1 KiB
2021
82 
2019
79 
2020
79 
2018
70 
2017
66 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2017
2nd row2017
3rd row2017
4th row2017
5th row2017

Common Values

ValueCountFrequency (%)
2021 82
21.8%
2019 79
21.0%
2020 79
21.0%
2018 70
18.6%
2017 66
17.6%

Length

2024-04-21T10:46:49.998133image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T10:46:50.099049image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2021 82
21.8%
2019 79
21.0%
2020 79
21.0%
2018 70
18.6%
2017 66
17.6%

세목명
Categorical

Distinct12
Distinct (%)3.2%
Missing0
Missing (%)0.0%
Memory size3.1 KiB
자동차세
52 
재산세
52 
주민세
52 
등록면허세
49 
지방소득세
44 
Other values (7)
127 

Length

Max length7
Median length5
Mean length3.9680851
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
자동차세 52
13.8%
재산세 52
13.8%
주민세 52
13.8%
등록면허세 49
13.0%
지방소득세 44
11.7%
취득세 42
11.2%
등록세 32
8.5%
종합토지세 16
 
4.3%
지역자원시설세 16
 
4.3%
담배소비세 11
 
2.9%
Other values (2) 10
 
2.7%

Length

2024-04-21T10:46:50.231962image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
자동차세 52
13.8%
재산세 52
13.8%
주민세 52
13.8%
등록면허세 49
13.0%
지방소득세 44
11.7%
취득세 42
11.2%
등록세 32
8.5%
종합토지세 16
 
4.3%
지역자원시설세 16
 
4.3%
담배소비세 11
 
2.9%
Other values (2) 10
 
2.7%

납부매체
Categorical

HIGH CORRELATION 

Distinct10
Distinct (%)2.7%
Missing0
Missing (%)0.0%
Memory size3.1 KiB
은행창구
55 
ARS
47 
가상계좌
47 
위택스
41 
지자체방문
40 
Other values (5)
146 

Length

Max length5
Median length4
Mean length3.8962766
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
은행창구 55
14.6%
ARS 47
12.5%
가상계좌 47
12.5%
위택스 41
10.9%
지자체방문 40
10.6%
기타 39
10.4%
자동화기기 36
9.6%
인터넷지로 35
9.3%
자동이체 20
 
5.3%
페이사납부 16
 
4.3%

Length

2024-04-21T10:46:50.365713image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T10:46:50.482413image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
은행창구 55
14.6%
ars 47
12.5%
가상계좌 47
12.5%
위택스 41
10.9%
지자체방문 40
10.6%
기타 39
10.4%
자동화기기 36
9.6%
인터넷지로 35
9.3%
자동이체 20
 
5.3%
페이사납부 16
 
4.3%

납부매체전자고지여부
Boolean

HIGH CORRELATION 

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size508.0 B
False
202 
True
174 
ValueCountFrequency (%)
False 202
53.7%
True 174
46.3%
2024-04-21T10:46:50.589906image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

납부건수
Real number (ℝ)

HIGH CORRELATION 

Distinct294
Distinct (%)78.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4234.266
Minimum1
Maximum49857
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.4 KiB
2024-04-21T10:46:50.688010image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q124.5
median689
Q34720.75
95-th percentile19407
Maximum49857
Range49856
Interquartile range (IQR)4696.25

Descriptive statistics

Standard deviation8055.6093
Coefficient of variation (CV)1.9024807
Kurtosis10.881167
Mean4234.266
Median Absolute Deviation (MAD)685
Skewness3.1111415
Sum1592084
Variance64892841
MonotonicityNot monotonic
2024-04-21T10:46:50.817024image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 11
 
2.9%
12 10
 
2.7%
5 9
 
2.4%
2 9
 
2.4%
4 8
 
2.1%
6 8
 
2.1%
3 6
 
1.6%
7 5
 
1.3%
9 5
 
1.3%
10 4
 
1.1%
Other values (284) 301
80.1%
ValueCountFrequency (%)
1 11
2.9%
2 9
2.4%
3 6
1.6%
4 8
2.1%
5 9
2.4%
6 8
2.1%
7 5
1.3%
8 3
 
0.8%
9 5
1.3%
10 4
 
1.1%
ValueCountFrequency (%)
49857 1
0.3%
46830 1
0.3%
44422 1
0.3%
41776 1
0.3%
40735 1
0.3%
39324 1
0.3%
37546 1
0.3%
36843 1
0.3%
35534 1
0.3%
34393 1
0.3%

납부금액
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct376
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.9839909 × 109
Minimum3300
Maximum2.7943498 × 1010
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.4 KiB
2024-04-21T10:46:50.937366image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3300
5-th percentile56037.5
Q18686410
median1.9994298 × 108
Q31.5547695 × 109
95-th percentile1.0787747 × 1010
Maximum2.7943498 × 1010
Range2.7943495 × 1010
Interquartile range (IQR)1.5460831 × 109

Descriptive statistics

Standard deviation4.2685126 × 109
Coefficient of variation (CV)2.1514779
Kurtosis11.929489
Mean1.9839909 × 109
Median Absolute Deviation (MAD)1.9985556 × 108
Skewness3.2986143
Sum7.4598057 × 1011
Variance1.82202 × 1019
MonotonicityNot monotonic
2024-04-21T10:46:51.052258image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
85980 1
 
0.3%
18622037000 1
 
0.3%
651750640 1
 
0.3%
96400 1
 
0.3%
3572477070 1
 
0.3%
23648623440 1
 
0.3%
14488110 1
 
0.3%
532256560 1
 
0.3%
3755633870 1
 
0.3%
17729693240 1
 
0.3%
Other values (366) 366
97.3%
ValueCountFrequency (%)
3300 1
0.3%
3330 1
0.3%
4000 1
0.3%
9270 1
0.3%
15780 1
0.3%
16710 1
0.3%
18600 1
0.3%
21590 1
0.3%
23100 1
0.3%
23880 1
0.3%
ValueCountFrequency (%)
27943498400 1
0.3%
24225314860 1
0.3%
23648623440 1
0.3%
21327141400 1
0.3%
21299356000 1
0.3%
20085817940 1
0.3%
19701294920 1
0.3%
18664903720 1
0.3%
18622037000 1
0.3%
17729693240 1
0.3%

납부매체비율
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct292
Distinct (%)77.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12.765718
Minimum0
Maximum84.73
Zeros10
Zeros (%)2.7%
Negative0
Negative (%)0.0%
Memory size3.4 KiB
2024-04-21T10:46:51.172574image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.01
Q10.32
median7.345
Q318.255
95-th percentile45.0525
Maximum84.73
Range84.73
Interquartile range (IQR)17.935

Descriptive statistics

Standard deviation15.499252
Coefficient of variation (CV)1.2141308
Kurtosis2.6845458
Mean12.765718
Median Absolute Deviation (MAD)7.235
Skewness1.595678
Sum4799.91
Variance240.22681
MonotonicityNot monotonic
2024-04-21T10:46:51.328081image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.01 21
 
5.6%
0.0 10
 
2.7%
0.03 7
 
1.9%
0.06 6
 
1.6%
0.11 6
 
1.6%
0.02 5
 
1.3%
0.05 5
 
1.3%
0.27 4
 
1.1%
0.04 4
 
1.1%
0.32 4
 
1.1%
Other values (282) 304
80.9%
ValueCountFrequency (%)
0.0 10
2.7%
0.01 21
5.6%
0.02 5
 
1.3%
0.03 7
 
1.9%
0.04 4
 
1.1%
0.05 5
 
1.3%
0.06 6
 
1.6%
0.07 3
 
0.8%
0.09 1
 
0.3%
0.1 1
 
0.3%
ValueCountFrequency (%)
84.73 1
0.3%
80.01 1
0.3%
73.02 1
0.3%
65.93 1
0.3%
65.36 1
0.3%
58.45 1
0.3%
55.4 1
0.3%
54.51 1
0.3%
50.0 1
0.3%
49.85 1
0.3%

Interactions

2024-04-21T10:46:48.710902image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:46:48.078436image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:46:48.483072image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:46:48.800026image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:46:48.212193image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:46:48.558979image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:46:48.881607image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:46:48.410909image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:46:48.633761image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-04-21T10:46:51.575932image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
납부년도세목명납부매체납부매체전자고지여부납부건수납부금액납부매체비율
납부년도1.0000.0000.0000.0000.0000.0000.000
세목명0.0001.0000.0630.0000.3220.3890.590
납부매체0.0000.0631.0000.9960.5620.5120.615
납부매체전자고지여부0.0000.0000.9961.0000.1760.1140.343
납부건수0.0000.3220.5620.1761.0000.6990.689
납부금액0.0000.3890.5120.1140.6991.0000.428
납부매체비율0.0000.5900.6150.3430.6890.4281.000
2024-04-21T10:46:51.667533image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
납부매체납부매체전자고지여부납부년도세목명
납부매체1.0000.9320.0000.025
납부매체전자고지여부0.9321.0000.0000.000
납부년도0.0000.0001.0000.000
세목명0.0250.0000.0001.000
2024-04-21T10:46:51.768152image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
납부건수납부금액납부매체비율납부년도세목명납부매체납부매체전자고지여부
납부건수1.0000.7970.8280.0000.1400.2020.134
납부금액0.7971.0000.5830.0000.1740.1790.088
납부매체비율0.8280.5831.0000.0000.2950.2300.260
납부년도0.0000.0000.0001.0000.0000.0000.000
세목명0.1400.1740.2950.0001.0000.0250.000
납부매체0.2020.1790.2300.0000.0251.0000.932
납부매체전자고지여부0.1340.0880.2600.0000.0000.9321.000

Missing values

2024-04-21T10:46:49.020329image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-04-21T10:46:49.193972image/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
0전라북도완주군457102017등록면허세ARSN8859800.59
1전라북도완주군457102017자동차세ARSN79215117883058.45
2전라북도완주군457102017재산세ARSN4155128568030.63
3전라북도완주군457102017주민세ARSN11915794408.78
4전라북도완주군457102017지방소득세ARSN2024185901.48
5전라북도완주군457102017취득세ARSN19473200.07
6전라북도완주군457102017등록면허세가상계좌Y88922124086908.74
7전라북도완주군457102017등록세가상계좌Y1011367100.01
8전라북도완주군457102017자동차세가상계좌Y34393506111094033.82
9전라북도완주군457102017재산세가상계좌Y36843526648374036.22
시도명시군구명자치단체코드납부년도세목명납부매체납부매체전자고지여부납부건수납부금액납부매체비율
366전라북도완주군457102021종합토지세기타N7728000.18
367전라북도완주군457102021주민세기타N4116049218010.58
368전라북도완주군457102021지방소득세기타N2540313032735065.36
369전라북도완주군457102021지방소비세기타N12463150000.03
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375전라북도완주군457102021재산세위택스Y5597487300373012.3