Overview

Dataset statistics

Number of variables10
Number of observations85
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory7.2 KiB
Average record size in memory86.6 B

Variable types

Categorical6
Boolean1
Numeric3

Dataset

Description부산광역시금정구_지방세납부현황_20221221
Author부산광역시 금정구
URLhttp://data.busan.go.kr/dataSet/detail.nm?contentId=10&publicdatapk=15079652

Alerts

시도명 has constant value ""Constant
시군구명 has constant value ""Constant
자치단체코드 has constant value ""Constant
납부년도 has constant value ""Constant
납부매체전자고지여부 is highly overall correlated with 납부매체High correlation
납부매체 is highly overall correlated with 납부매체전자고지여부High 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 5 (5.9%) zerosZeros

Reproduction

Analysis started2023-12-10 17:35:26.838083
Analysis finished2023-12-10 17:35:29.837527
Duration3 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시도명
Categorical

CONSTANT 

Distinct1
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size812.0 B
부산광역시
85 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
부산광역시 85
100.0%

Length

2023-12-11T02:35:29.983296image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T02:35:30.233869image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
부산광역시 85
100.0%

시군구명
Categorical

CONSTANT 

Distinct1
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size812.0 B
금정구
85 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
금정구 85
100.0%

Length

2023-12-11T02:35:30.472725image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T02:35:30.717707image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
금정구 85
100.0%

자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size812.0 B
26410
85 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row26410
2nd row26410
3rd row26410
4th row26410
5th row26410

Common Values

ValueCountFrequency (%)
26410 85
100.0%

Length

2023-12-11T02:35:30.966959image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T02:35:31.275037image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
26410 85
100.0%

납부년도
Categorical

CONSTANT 

Distinct1
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size812.0 B
2021
85 

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 85
100.0%

Length

2023-12-11T02:35:31.730912image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T02:35:32.292830image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2021 85
100.0%

세목명
Categorical

Distinct14
Distinct (%)16.5%
Missing0
Missing (%)0.0%
Memory size812.0 B
등록면허세
10 
자동차세
10 
재산세
10 
주민세
10 
지방소득세
9 
Other values (9)
36 

Length

Max length7
Median length5
Mean length4.1411765
Min length3

Unique

Unique3 ?
Unique (%)3.5%

Sample

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

Common Values

ValueCountFrequency (%)
등록면허세 10
11.8%
자동차세 10
11.8%
재산세 10
11.8%
주민세 10
11.8%
지방소득세 9
10.6%
지역자원시설세 9
10.6%
취득세 9
10.6%
등록세 5
5.9%
면허세 4
 
4.7%
종합토지세 4
 
4.7%
Other values (4) 5
5.9%

Length

2023-12-11T02:35:32.995730image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
등록면허세 10
11.8%
자동차세 10
11.8%
재산세 10
11.8%
주민세 10
11.8%
지방소득세 9
10.6%
지역자원시설세 9
10.6%
취득세 9
10.6%
등록세 5
5.9%
면허세 4
 
4.7%
종합토지세 4
 
4.7%
Other values (4) 5
5.9%

납부매체
Categorical

HIGH CORRELATION 

Distinct10
Distinct (%)11.8%
Missing0
Missing (%)0.0%
Memory size812.0 B
기타
11 
은행창구
11 
자동화기기
11 
이택스
10 
위택스
9 
Other values (5)
33 

Length

Max length5
Median length4
Mean length3.9058824
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
기타 11
12.9%
은행창구 11
12.9%
자동화기기 11
12.9%
이택스 10
11.8%
위택스 9
10.6%
인터넷지로 8
9.4%
가상계좌 7
8.2%
지자체방문 7
8.2%
페이사납부 7
8.2%
자동이체 4
 
4.7%

Length

2023-12-11T02:35:33.678208image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T02:35:34.017524image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
기타 11
12.9%
은행창구 11
12.9%
자동화기기 11
12.9%
이택스 10
11.8%
위택스 9
10.6%
인터넷지로 8
9.4%
가상계좌 7
8.2%
지자체방문 7
8.2%
페이사납부 7
8.2%
자동이체 4
 
4.7%

납부매체전자고지여부
Boolean

HIGH CORRELATION 

Distinct2
Distinct (%)2.4%
Missing0
Missing (%)0.0%
Memory size217.0 B
True
45 
False
40 
ValueCountFrequency (%)
True 45
52.9%
False 40
47.1%
2023-12-11T02:35:34.327672image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

납부건수
Real number (ℝ)

HIGH CORRELATION 

Distinct75
Distinct (%)88.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7184.5059
Minimum1
Maximum111156
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size897.0 B
2023-12-11T02:35:34.596368image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q134
median818
Q36269
95-th percentile30187.4
Maximum111156
Range111155
Interquartile range (IQR)6235

Descriptive statistics

Standard deviation16668.697
Coefficient of variation (CV)2.3200896
Kurtosis21.497258
Mean7184.5059
Median Absolute Deviation (MAD)817
Skewness4.2891763
Sum610683
Variance2.7784546 × 108
MonotonicityNot monotonic
2023-12-11T02:35:34.913527image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 8
 
9.4%
7 3
 
3.5%
2305 2
 
2.4%
8788 1
 
1.2%
1218 1
 
1.2%
4563 1
 
1.2%
1124 1
 
1.2%
234 1
 
1.2%
336 1
 
1.2%
47 1
 
1.2%
Other values (65) 65
76.5%
ValueCountFrequency (%)
1 8
9.4%
3 1
 
1.2%
7 3
 
3.5%
9 1
 
1.2%
10 1
 
1.2%
11 1
 
1.2%
16 1
 
1.2%
18 1
 
1.2%
20 1
 
1.2%
21 1
 
1.2%
ValueCountFrequency (%)
111156 1
1.2%
78125 1
1.2%
51129 1
1.2%
44799 1
1.2%
31689 1
1.2%
24181 1
1.2%
22071 1
1.2%
19508 1
1.2%
15544 1
1.2%
15537 1
1.2%

납부금액
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct85
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.8091252 × 109
Minimum600
Maximum5.0643309 × 1010
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size897.0 B
2023-12-11T02:35:35.238321image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum600
5-th percentile78930
Q16106100
median3.2192756 × 108
Q32.1425911 × 109
95-th percentile1.171389 × 1010
Maximum5.0643309 × 1010
Range5.0643308 × 1010
Interquartile range (IQR)2.136485 × 109

Descriptive statistics

Standard deviation6.5918824 × 109
Coefficient of variation (CV)2.3465961
Kurtosis33.382356
Mean2.8091252 × 109
Median Absolute Deviation (MAD)3.2189921 × 108
Skewness5.0783816
Sum2.3877565 × 1011
Variance4.3452914 × 1019
MonotonicityNot monotonic
2023-12-11T02:35:35.553086image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
339584540 1
 
1.2%
906850 1
 
1.2%
638390940 1
 
1.2%
6106100 1
 
1.2%
321927560 1
 
1.2%
14898800 1
 
1.2%
737874130 1
 
1.2%
172495680 1
 
1.2%
74689600 1
 
1.2%
2142591070 1
 
1.2%
Other values (75) 75
88.2%
ValueCountFrequency (%)
600 1
1.2%
3420 1
1.2%
12160 1
1.2%
28350 1
1.2%
50430 1
1.2%
192930 1
1.2%
220500 1
1.2%
241920 1
1.2%
277350 1
1.2%
557550 1
1.2%
ValueCountFrequency (%)
50643309020 1
1.2%
21090817820 1
1.2%
12245495150 1
1.2%
12208170700 1
1.2%
11889986260 1
1.2%
11009503620 1
1.2%
10317462750 1
1.2%
9844219940 1
1.2%
9457383810 1
1.2%
9111404400 1
1.2%

납부매체비율
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct68
Distinct (%)80.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11.764824
Minimum0
Maximum69.39
Zeros5
Zeros (%)5.9%
Negative0
Negative (%)0.0%
Memory size897.0 B
2023-12-11T02:35:35.962323image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.002
Q10.1
median6.82
Q318.09
95-th percentile40.58
Maximum69.39
Range69.39
Interquartile range (IQR)17.99

Descriptive statistics

Standard deviation14.995123
Coefficient of variation (CV)1.2745727
Kurtosis3.3214161
Mean11.764824
Median Absolute Deviation (MAD)6.81
Skewness1.7345584
Sum1000.01
Variance224.85371
MonotonicityNot monotonic
2023-12-11T02:35:36.830188image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.01 6
 
7.1%
0.0 5
 
5.9%
0.28 2
 
2.4%
0.13 2
 
2.4%
0.02 2
 
2.4%
0.05 2
 
2.4%
0.03 2
 
2.4%
0.1 2
 
2.4%
0.08 2
 
2.4%
3.28 2
 
2.4%
Other values (58) 58
68.2%
ValueCountFrequency (%)
0.0 5
5.9%
0.01 6
7.1%
0.02 2
 
2.4%
0.03 2
 
2.4%
0.04 1
 
1.2%
0.05 2
 
2.4%
0.08 2
 
2.4%
0.1 2
 
2.4%
0.13 2
 
2.4%
0.14 1
 
1.2%
ValueCountFrequency (%)
69.39 1
1.2%
63.92 1
1.2%
54.01 1
1.2%
42.53 1
1.2%
40.89 1
1.2%
39.34 1
1.2%
32.95 1
1.2%
32.8 1
1.2%
31.15 1
1.2%
30.25 1
1.2%

Interactions

2023-12-11T02:35:28.656664image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T02:35:27.454645image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T02:35:28.051880image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T02:35:28.861118image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T02:35:27.640552image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T02:35:28.255394image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T02:35:29.028030image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T02:35:27.824620image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T02:35:28.448970image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T02:35:37.026113image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
세목명납부매체납부매체전자고지여부납부건수납부금액납부매체비율
세목명1.0000.0000.0000.0000.0600.415
납부매체0.0001.0001.0000.0000.2270.000
납부매체전자고지여부0.0001.0001.0000.0000.0140.216
납부건수0.0000.0000.0001.0000.6930.810
납부금액0.0600.2270.0140.6931.0000.614
납부매체비율0.4150.0000.2160.8100.6141.000
2023-12-11T02:35:37.236660image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
납부매체전자고지여부납부매체세목명
납부매체전자고지여부1.0000.9510.000
납부매체0.9511.0000.000
세목명0.0000.0001.000
2023-12-11T02:35:37.448833image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
납부건수납부금액납부매체비율세목명납부매체납부매체전자고지여부
납부건수1.0000.7860.8480.0000.0000.000
납부금액0.7861.0000.6370.0360.0890.019
납부매체비율0.8480.6371.0000.1770.0000.204
세목명0.0000.0360.1771.0000.0000.000
납부매체0.0000.0890.0000.0001.0000.951
납부매체전자고지여부0.0000.0190.2040.0000.9511.000

Missing values

2023-12-11T02:35:29.307987image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T02:35:29.680129image/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
0부산광역시금정구264102021등록면허세가상계좌Y878833958454019.2
1부산광역시금정구264102021자동차세가상계좌Y7191125280524015.71
2부산광역시금정구264102021재산세가상계좌Y13846398081084030.25
3부산광역시금정구264102021주민세가상계좌Y580372417702012.68
4부산광역시금정구264102021지방소득세가상계좌Y9914576826224021.66
5부산광역시금정구264102021지역자원시설세가상계좌Y6211685300.14
6부산광역시금정구264102021취득세가상계좌Y1699254363300.37
7부산광역시금정구264102021등록면허세기타N24043825602.66
8부산광역시금정구264102021면허세기타N72205000.08
9부산광역시금정구264102021자동차세기타N846542138209.36
시도명시군구명자치단체코드납부년도세목명납부매체납부매체전자고지여부납부건수납부금액납부매체비율
75부산광역시금정구264102021지방소득세지자체방문N34737942003.28
76부산광역시금정구264102021지역자원시설세지자체방문N11929300.1
77부산광역시금정구264102021취득세지자체방문N141275922631013.6
78부산광역시금정구264102021등록면허세페이사납부Y592231133304.28
79부산광역시금정구264102021자동차세페이사납부Y456078842068032.95
80부산광역시금정구264102021재산세페이사납부Y565986938249040.89
81부산광역시금정구264102021주민세페이사납부Y29644227172021.42
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