Overview

Dataset statistics

Number of variables9
Number of observations57
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory4.4 KiB
Average record size in memory78.3 B

Variable types

Categorical6
Numeric2
DateTime1

Dataset

Description제주특별자치도 본청의 연도별(2017~2019), 지방세 세목별로 과세의 세원이 되는 과세 대상 유형별 부과 건수 및 부과금액 현황을 제공합니다.
Author제주특별자치도
URLhttps://www.data.go.kr/data/15079859/fileData.do

Alerts

시도명 has constant value ""Constant
시군구명 has constant value ""Constant
자치단체코드 has constant value ""Constant
데이터기준일자 has constant value ""Constant
부과건수 is highly overall correlated with 부과금액 High correlation
부과금액 is highly overall correlated with 부과건수 and 2 other fieldsHigh correlation
세목명 is highly overall correlated with 부과금액 and 1 other fieldsHigh correlation
세원 유형명 is highly overall correlated with 부과금액 and 1 other fieldsHigh correlation
부과건수 has 36 (63.2%) zerosZeros
부과금액 has 36 (63.2%) zerosZeros

Reproduction

Analysis started2023-12-12 10:28:21.221085
Analysis finished2023-12-12 10:28:22.426936
Duration1.21 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시도명
Categorical

CONSTANT 

Distinct1
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Memory size588.0 B
제주특별자치도
57 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
제주특별자치도 57
100.0%

Length

2023-12-12T19:28:22.484986image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T19:28:22.570349image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
제주특별자치도 57
100.0%

시군구명
Categorical

CONSTANT 

Distinct1
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Memory size588.0 B
제주특별자치도
57 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
제주특별자치도 57
100.0%

Length

2023-12-12T19:28:22.659984image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T19:28:22.756219image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
제주특별자치도 57
100.0%

자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Memory size588.0 B
50000
57 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row50000
2nd row50000
3rd row50000
4th row50000
5th row50000

Common Values

ValueCountFrequency (%)
50000 57
100.0%

Length

2023-12-12T19:28:22.881370image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T19:28:22.975063image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
50000 57
100.0%

과세년도
Categorical

Distinct3
Distinct (%)5.3%
Missing0
Missing (%)0.0%
Memory size588.0 B
2017
19 
2018
19 
2019
19 

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 (%)
2017 19
33.3%
2018 19
33.3%
2019 19
33.3%

Length

2023-12-12T19:28:23.080076image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T19:28:23.166633image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2017 19
33.3%
2018 19
33.3%
2019 19
33.3%

세목명
Categorical

HIGH CORRELATION 

Distinct7
Distinct (%)12.3%
Missing0
Missing (%)0.0%
Memory size588.0 B
취득세
21 
자동차세
21 
등록면허세
3 
교육세
3 
체납
3 
Other values (2)
6 

Length

Max length5
Median length4
Mean length3.6315789
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
취득세 21
36.8%
자동차세 21
36.8%
등록면허세 3
 
5.3%
교육세 3
 
5.3%
체납 3
 
5.3%
담배소비세 3
 
5.3%
지방소비세 3
 
5.3%

Length

2023-12-12T19:28:23.267005image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T19:28:23.368066image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
취득세 21
36.8%
자동차세 21
36.8%
등록면허세 3
 
5.3%
교육세 3
 
5.3%
체납 3
 
5.3%
담배소비세 3
 
5.3%
지방소비세 3
 
5.3%

세원 유형명
Categorical

HIGH CORRELATION 

Distinct19
Distinct (%)33.3%
Missing0
Missing (%)0.0%
Memory size588.0 B
토지
 
3
건축물
 
3
선박
 
3
차량
 
3
기계장비
 
3
Other values (14)
42 

Length

Max length9
Median length8
Mean length3.4736842
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row토지
2nd row건축물
3rd row선박
4th row차량
5th row기계장비

Common Values

ValueCountFrequency (%)
토지 3
 
5.3%
건축물 3
 
5.3%
선박 3
 
5.3%
차량 3
 
5.3%
기계장비 3
 
5.3%
항공기 3
 
5.3%
기타 3
 
5.3%
등록면허세(등록) 3
 
5.3%
교육세 3
 
5.3%
승용 3
 
5.3%
Other values (9) 27
47.4%

Length

2023-12-12T19:28:23.505072image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
토지 3
 
5.3%
기타승용 3
 
5.3%
담배소비세 3
 
5.3%
체납 3
 
5.3%
자동차세(주행 3
 
5.3%
3륜이하 3
 
5.3%
특수 3
 
5.3%
화물 3
 
5.3%
승합 3
 
5.3%
승용 3
 
5.3%
Other values (9) 27
47.4%

부과건수
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct16
Distinct (%)28.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5277.1404
Minimum0
Maximum68127
Zeros36
Zeros (%)63.2%
Negative0
Negative (%)0.0%
Memory size645.0 B
2023-12-12T19:28:23.619210image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q3124
95-th percentile29211.8
Maximum68127
Range68127
Interquartile range (IQR)124

Descriptive statistics

Standard deviation14430.173
Coefficient of variation (CV)2.7344682
Kurtosis11.26581
Mean5277.1404
Median Absolute Deviation (MAD)0
Skewness3.2911276
Sum300797
Variance2.0822988 × 108
MonotonicityNot monotonic
2023-12-12T19:28:23.724620image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
0 36
63.2%
12 3
 
5.3%
124 2
 
3.5%
8 2
 
3.5%
519 2
 
3.5%
137 2
 
3.5%
68127 1
 
1.8%
6 1
 
1.8%
27015 1
 
1.8%
20972 1
 
1.8%
Other values (6) 6
 
10.5%
ValueCountFrequency (%)
0 36
63.2%
6 1
 
1.8%
8 2
 
3.5%
12 3
 
5.3%
124 2
 
3.5%
137 2
 
3.5%
519 2
 
3.5%
17702 1
 
1.8%
18687 1
 
1.8%
20947 1
 
1.8%
ValueCountFrequency (%)
68127 1
1.8%
66703 1
1.8%
37999 1
1.8%
27015 1
1.8%
21027 1
1.8%
20972 1
1.8%
20947 1
1.8%
18687 1
1.8%
17702 1
1.8%
519 2
3.5%

부과금액
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct22
Distinct (%)38.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.104161 × 1010
Minimum0
Maximum2.2163035 × 1011
Zeros36
Zeros (%)63.2%
Negative0
Negative (%)0.0%
Memory size645.0 B
2023-12-12T19:28:23.833784image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q32.6142671 × 1010
95-th percentile9.3615521 × 1010
Maximum2.2163035 × 1011
Range2.2163035 × 1011
Interquartile range (IQR)2.6142671 × 1010

Descriptive statistics

Standard deviation4.2404114 × 1010
Coefficient of variation (CV)2.0152504
Kurtosis9.3462367
Mean2.104161 × 1010
Median Absolute Deviation (MAD)0
Skewness2.8251105
Sum1.1993718 × 1012
Variance1.7981089 × 1021
MonotonicityNot monotonic
2023-12-12T19:28:23.963336image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
0 36
63.2%
23427739000 1
 
1.8%
221630347000 1
 
1.8%
57097935000 1
 
1.8%
32388401000 1
 
1.8%
59079394000 1
 
1.8%
25117308000 1
 
1.8%
379262000 1
 
1.8%
82356316000 1
 
1.8%
142235344000 1
 
1.8%
Other values (12) 12
 
21.1%
ValueCountFrequency (%)
0 36
63.2%
379262000 1
 
1.8%
385075000 1
 
1.8%
424021000 1
 
1.8%
17856975000 1
 
1.8%
23427739000 1
 
1.8%
25117308000 1
 
1.8%
26142671000 1
 
1.8%
27015870000 1
 
1.8%
32388401000 1
 
1.8%
ValueCountFrequency (%)
221630347000 1
1.8%
142235344000 1
1.8%
132169464000 1
1.8%
83977035000 1
1.8%
82356316000 1
1.8%
62867490000 1
1.8%
59428876000 1
1.8%
59079394000 1
1.8%
57097935000 1
1.8%
52938726000 1
1.8%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Memory size588.0 B
Minimum2019-12-31 00:00:00
Maximum2019-12-31 00:00:00
2023-12-12T19:28:24.053596image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T19:28:24.136487image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2023-12-12T19:28:21.677450image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T19:28:21.472258image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T19:28:21.772485image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T19:28:21.580377image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T19:28:24.206429image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
과세년도세목명세원 유형명부과건수부과금액
과세년도1.0000.0000.0000.1290.000
세목명0.0001.0001.0000.5910.911
세원 유형명0.0001.0001.0000.7720.859
부과건수0.1290.5910.7721.0000.653
부과금액0.0000.9110.8590.6531.000
2023-12-12T19:28:24.299180image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
세목명과세년도세원 유형명
세목명1.0000.0000.872
과세년도0.0001.0000.000
세원 유형명0.8720.0001.000
2023-12-12T19:28:24.391957image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
부과건수부과금액과세년도세목명세원 유형명
부과건수1.0000.9070.0880.4220.439
부과금액0.9071.0000.0000.5580.528
과세년도0.0880.0001.0000.0000.000
세목명0.4220.5580.0001.0000.872
세원 유형명0.4390.5280.0000.8721.000

Missing values

2023-12-12T19:28:21.884881image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T19:28:22.359586image/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

시도명시군구명자치단체코드과세년도세목명세원 유형명부과건수부과금액데이터기준일자
0제주특별자치도제주특별자치도500002017취득세토지002019-12-31
1제주특별자치도제주특별자치도500002017취득세건축물002019-12-31
2제주특별자치도제주특별자치도500002017취득세선박002019-12-31
3제주특별자치도제주특별자치도500002017취득세차량37999529387260002019-12-31
4제주특별자치도제주특별자치도500002017취득세기계장비002019-12-31
5제주특별자치도제주특별자치도500002017취득세항공기002019-12-31
6제주특별자치도제주특별자치도500002017취득세기타002019-12-31
7제주특별자치도제주특별자치도500002017등록면허세등록면허세(등록)177023850750002019-12-31
8제주특별자치도제주특별자치도500002017교육세교육세124270158700002019-12-31
9제주특별자치도제주특별자치도500002017자동차세승용002019-12-31
시도명시군구명자치단체코드과세년도세목명세원 유형명부과건수부과금액데이터기준일자
47제주특별자치도제주특별자치도500002019자동차세승용002019-12-31
48제주특별자치도제주특별자치도500002019자동차세기타승용002019-12-31
49제주특별자치도제주특별자치도500002019자동차세승합002019-12-31
50제주특별자치도제주특별자치도500002019자동차세화물002019-12-31
51제주특별자치도제주특별자치도500002019자동차세특수002019-12-31
52제주특별자치도제주특별자치도500002019자동차세3륜이하002019-12-31
53제주특별자치도제주특별자치도500002019자동차세자동차세(주행)12590793940002019-12-31
54제주특별자치도제주특별자치도500002019체납체납27015323884010002019-12-31
55제주특별자치도제주특별자치도500002019담배소비세담배소비세519570979350002019-12-31
56제주특별자치도제주특별자치도500002019지방소비세지방소비세62216303470002019-12-31