Overview

Dataset statistics

Number of variables10
Number of observations72
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory6.1 KiB
Average record size in memory86.8 B

Variable types

Categorical6
Boolean1
Numeric3

Dataset

Description부산광역시 수영구_지방세 납부현황(납부년도, 세목명, 납부매체, 납부건수, 납부금액, 납부매체비율) 관련 정보를 제공합니다
URLhttps://www.data.go.kr/data/15078635/fileData.do

Alerts

시도명 has constant value ""Constant
시군구명 has constant value ""Constant
자치단체코드 has constant value ""Constant
납부년도 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 2 (2.8%) zerosZeros

Reproduction

Analysis started2023-12-12 21:01:41.696000
Analysis finished2023-12-12 21:01:43.388212
Duration1.69 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시도명
Categorical

CONSTANT 

Distinct1
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size708.0 B
부산광역시
72 

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 72
100.0%

Length

2023-12-13T06:01:43.444962image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T06:01:43.525500image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
부산광역시 72
100.0%

시군구명
Categorical

CONSTANT 

Distinct1
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size708.0 B
수영구
72 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
수영구 72
100.0%

Length

2023-12-13T06:01:43.616321image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T06:01:43.704774image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
수영구 72
100.0%

자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size708.0 B
26500
72 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row26500
2nd row26500
3rd row26500
4th row26500
5th row26500

Common Values

ValueCountFrequency (%)
26500 72
100.0%

Length

2023-12-13T06:01:43.804035image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T06:01:43.893447image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
26500 72
100.0%

납부년도
Categorical

CONSTANT 

Distinct1
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size708.0 B
2021
72 

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 72
100.0%

Length

2023-12-13T06:01:43.987763image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T06:01:44.075181image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2021 72
100.0%

세목명
Categorical

Distinct11
Distinct (%)15.3%
Missing0
Missing (%)0.0%
Memory size708.0 B
재산세
10 
주민세
10 
등록면허세
10 
자동차세
10 
지방소득세
9 
Other values (6)
23 

Length

Max length7
Median length5
Mean length4.0833333
Min length3

Unique

Unique2 ?
Unique (%)2.8%

Sample

1st row재산세
2nd row주민세
3rd row지방소득세
4th row지역자원시설세
5th row취득세

Common Values

ValueCountFrequency (%)
재산세 10
13.9%
주민세 10
13.9%
등록면허세 10
13.9%
자동차세 10
13.9%
지방소득세 9
12.5%
취득세 9
12.5%
지역자원시설세 6
8.3%
면허세 4
 
5.6%
종합토지세 2
 
2.8%
등록세 1
 
1.4%

Length

2023-12-13T06:01:44.183971image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
재산세 10
13.9%
주민세 10
13.9%
등록면허세 10
13.9%
자동차세 10
13.9%
지방소득세 9
12.5%
취득세 9
12.5%
지역자원시설세 6
8.3%
면허세 4
 
5.6%
종합토지세 2
 
2.8%
등록세 1
 
1.4%

납부매체
Categorical

HIGH CORRELATION 

Distinct10
Distinct (%)13.9%
Missing0
Missing (%)0.0%
Memory size708.0 B
이택스
10 
은행창구
9 
가상계좌
8 
위택스
7 
인터넷지로
7 
Other values (5)
31 

Length

Max length5
Median length4
Mean length3.9444444
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
이택스 10
13.9%
은행창구 9
12.5%
가상계좌 8
11.1%
위택스 7
9.7%
인터넷지로 7
9.7%
자동화기기 7
9.7%
지자체방문 7
9.7%
기타 7
9.7%
페이사납부 6
8.3%
자동이체 4
 
5.6%

Length

2023-12-13T06:01:44.309786image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T06:01:44.439136image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
이택스 10
13.9%
은행창구 9
12.5%
가상계좌 8
11.1%
위택스 7
9.7%
인터넷지로 7
9.7%
자동화기기 7
9.7%
지자체방문 7
9.7%
기타 7
9.7%
페이사납부 6
8.3%
자동이체 4
 
5.6%

납부매체전자고지여부
Boolean

HIGH CORRELATION 

Distinct2
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Memory size204.0 B
True
42 
False
30 
ValueCountFrequency (%)
True 42
58.3%
False 30
41.7%
2023-12-13T06:01:44.559559image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

납부건수
Real number (ℝ)

HIGH CORRELATION 

Distinct69
Distinct (%)95.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6793.3889
Minimum2
Maximum87366
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size780.0 B
2023-12-13T06:01:44.672979image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile4.55
Q169.5
median1723.5
Q35990
95-th percentile28989.05
Maximum87366
Range87364
Interquartile range (IQR)5920.5

Descriptive statistics

Standard deviation14050.938
Coefficient of variation (CV)2.0683252
Kurtosis17.308947
Mean6793.3889
Median Absolute Deviation (MAD)1717
Skewness3.8407213
Sum489124
Variance1.9742885 × 108
MonotonicityNot monotonic
2023-12-13T06:01:44.813174image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
62 2
 
2.8%
2 2
 
2.8%
5 2
 
2.8%
20636 1
 
1.4%
18 1
 
1.4%
3267 1
 
1.4%
5674 1
 
1.4%
4179 1
 
1.4%
547 1
 
1.4%
35 1
 
1.4%
Other values (59) 59
81.9%
ValueCountFrequency (%)
2 2
2.8%
3 1
1.4%
4 1
1.4%
5 2
2.8%
6 1
1.4%
7 1
1.4%
12 1
1.4%
13 1
1.4%
18 1
1.4%
19 1
1.4%
ValueCountFrequency (%)
87366 1
1.4%
58642 1
1.4%
43022 1
1.4%
34604 1
1.4%
24395 1
1.4%
21693 1
1.4%
20636 1
1.4%
20424 1
1.4%
12638 1
1.4%
12252 1
1.4%

납부금액
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct72
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.3536171 × 109
Minimum67400
Maximum6.586942 × 1010
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size780.0 B
2023-12-13T06:01:44.937531image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum67400
5-th percentile162886.5
Q16379315
median4.4865138 × 108
Q32.7881519 × 109
95-th percentile1.0600055 × 1010
Maximum6.586942 × 1010
Range6.5869353 × 1010
Interquartile range (IQR)2.7817725 × 109

Descriptive statistics

Standard deviation8.7789374 × 109
Coefficient of variation (CV)2.6177518
Kurtosis37.124492
Mean3.3536171 × 109
Median Absolute Deviation (MAD)4.4769207 × 108
Skewness5.5661779
Sum2.4146043 × 1011
Variance7.7069742 × 1019
MonotonicityNot monotonic
2023-12-13T06:01:45.061675image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
8293815560 1
 
1.4%
7234721230 1
 
1.4%
6635980 1
 
1.4%
42525670 1
 
1.4%
1006933530 1
 
1.4%
735011280 1
 
1.4%
21488080 1
 
1.4%
35817820 1
 
1.4%
5583480 1
 
1.4%
1937320 1
 
1.4%
Other values (62) 62
86.1%
ValueCountFrequency (%)
67400 1
1.4%
98110 1
1.4%
113400 1
1.4%
154510 1
1.4%
169740 1
1.4%
325210 1
1.4%
436750 1
1.4%
732330 1
1.4%
921010 1
1.4%
997610 1
1.4%
ValueCountFrequency (%)
65869420110 1
1.4%
24932900790 1
1.4%
20853943700 1
1.4%
10960186690 1
1.4%
10305402340 1
1.4%
9632963610 1
1.4%
9533931340 1
1.4%
8293815560 1
1.4%
8113032960 1
1.4%
8077917060 1
1.4%

납부매체비율
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct65
Distinct (%)90.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean13.888472
Minimum0
Maximum69.26
Zeros2
Zeros (%)2.8%
Negative0
Negative (%)0.0%
Memory size780.0 B
2023-12-13T06:01:45.182920image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.021
Q11.1325
median8.61
Q319.1625
95-th percentile44.062
Maximum69.26
Range69.26
Interquartile range (IQR)18.03

Descriptive statistics

Standard deviation16.221237
Coefficient of variation (CV)1.1679641
Kurtosis2.3535392
Mean13.888472
Median Absolute Deviation (MAD)8.46
Skewness1.5811623
Sum999.97
Variance263.12852
MonotonicityNot monotonic
2023-12-13T06:01:45.314229image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.03 3
 
4.2%
0.08 2
 
2.8%
0.05 2
 
2.8%
17.46 2
 
2.8%
0.01 2
 
2.8%
0.0 2
 
2.8%
4.41 1
 
1.4%
23.78 1
 
1.4%
41.31 1
 
1.4%
30.42 1
 
1.4%
Other values (55) 55
76.4%
ValueCountFrequency (%)
0.0 2
2.8%
0.01 2
2.8%
0.03 3
4.2%
0.04 1
 
1.4%
0.05 2
2.8%
0.08 2
2.8%
0.09 1
 
1.4%
0.12 1
 
1.4%
0.18 1
 
1.4%
0.36 1
 
1.4%
ValueCountFrequency (%)
69.26 1
1.4%
66.55 1
1.4%
56.6 1
1.4%
44.59 1
1.4%
43.63 1
1.4%
41.31 1
1.4%
38.79 1
1.4%
36.83 1
1.4%
35.91 1
1.4%
33.8 1
1.4%

Interactions

2023-12-13T06:01:42.543541image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:01:41.973612image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:01:42.235143image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:01:42.669529image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:01:42.047354image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:01:42.339025image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:01:42.760442image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:01:42.133116image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:01:42.428171image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T06:01:45.407254image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
세목명납부매체납부매체전자고지여부납부건수납부금액납부매체비율
세목명1.0000.0000.0000.0000.0000.571
납부매체0.0001.0001.0000.0000.2970.000
납부매체전자고지여부0.0001.0001.0000.0000.1300.197
납부건수0.0000.0000.0001.0000.6170.757
납부금액0.0000.2970.1300.6171.0000.176
납부매체비율0.5710.0000.1970.7570.1761.000
2023-12-13T06:01:45.511960image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
납부매체납부매체전자고지여부세목명
납부매체1.0000.9410.000
납부매체전자고지여부0.9411.0000.000
세목명0.0000.0001.000
2023-12-13T06:01:45.597944image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
납부건수납부금액납부매체비율세목명납부매체납부매체전자고지여부
납부건수1.0000.7720.7890.0000.0000.000
납부금액0.7721.0000.5610.0000.1760.085
납부매체비율0.7890.5611.0000.2930.0000.182
세목명0.0000.0000.2931.0000.0000.000
납부매체0.0000.1760.0000.0001.0000.941
납부매체전자고지여부0.0000.0850.1820.0000.9411.000

Missing values

2023-12-13T06:01:42.905411image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T06:01:43.055245image/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
0부산광역시수영구265002021재산세위택스Y20636829381556028.49
1부산광역시수영구265002021주민세위택스Y514211465234307.1
2부산광역시수영구265002021지방소득세위택스Y79981096018669011.04
3부산광역시수영구265002021지역자원시설세위택스Y229976100.03
4부산광역시수영구265002021취득세위택스Y4969658694201106.86
5부산광역시수영구265002021등록면허세은행창구N805849641371014.73
6부산광역시수영구265002021면허세은행창구N194367500.03
7부산광역시수영구265002021자동차세은행창구N608680968638011.12
8부산광역시수영구265002021재산세은행창구N24395720529228044.59
9부산광역시수영구265002021종합토지세은행창구N69210100.01
시도명시군구명자치단체코드납부년도세목명납부매체납부매체전자고지여부납부건수납부금액납부매체비율
62부산광역시수영구265002021취득세가상계좌Y12441172357900.36
63부산광역시수영구265002021등록면허세기타N21246906203.4
64부산광역시수영구265002021자동차세기타N10423198065016.71
65부산광역시수영구265002021재산세기타N19745207603.16
66부산광역시수영구265002021주민세기타N458196414507.34
67부산광역시수영구265002021지방소득세기타N4320667215438069.26
68부산광역시수영구265002021지방소비세기타N328540000000.05
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