Overview

Dataset statistics

Number of variables5
Number of observations32
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.4 KiB
Average record size in memory46.1 B

Variable types

Numeric2
Categorical2
DateTime1

Dataset

Description경상북도 울진군 귀농정책별 지원 현황 자료(연도, 시군명, 사업명(귀농정착지원사업, 주택수리비 등), 총지원액 등)를 제공합니다.
Author경상북도 울진군
URLhttps://www.data.go.kr/data/15025268/fileData.do

Alerts

시군명 has constant value ""Constant
데이터기준일자 has constant value ""Constant

Reproduction

Analysis started2023-12-12 20:48:17.804800
Analysis finished2023-12-12 20:48:18.444784
Duration0.64 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연도
Real number (ℝ)

Distinct13
Distinct (%)40.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2015.7188
Minimum2010
Maximum2022
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size420.0 B
2023-12-13T05:48:18.504475image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2010
5-th percentile2010.55
Q12013.75
median2015
Q32018.25
95-th percentile2021.45
Maximum2022
Range12
Interquartile range (IQR)4.5

Descriptive statistics

Standard deviation3.4848462
Coefficient of variation (CV)0.0017288355
Kurtosis-0.84476045
Mean2015.7188
Median Absolute Deviation (MAD)2.5
Skewness0.23688756
Sum64503
Variance12.144153
MonotonicityIncreasing
2023-12-13T05:48:18.636641image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
2014 5
15.6%
2015 5
15.6%
2010 2
 
6.2%
2011 2
 
6.2%
2012 2
 
6.2%
2013 2
 
6.2%
2016 2
 
6.2%
2017 2
 
6.2%
2018 2
 
6.2%
2019 2
 
6.2%
Other values (3) 6
18.8%
ValueCountFrequency (%)
2010 2
 
6.2%
2011 2
 
6.2%
2012 2
 
6.2%
2013 2
 
6.2%
2014 5
15.6%
2015 5
15.6%
2016 2
 
6.2%
2017 2
 
6.2%
2018 2
 
6.2%
2019 2
 
6.2%
ValueCountFrequency (%)
2022 2
 
6.2%
2021 2
 
6.2%
2020 2
 
6.2%
2019 2
 
6.2%
2018 2
 
6.2%
2017 2
 
6.2%
2016 2
 
6.2%
2015 5
15.6%
2014 5
15.6%
2013 2
 
6.2%

시군명
Categorical

CONSTANT 

Distinct1
Distinct (%)3.1%
Missing0
Missing (%)0.0%
Memory size388.0 B
경상북도 울진군
32 

Length

Max length8
Median length8
Mean length8
Min length8

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row경상북도 울진군
2nd row경상북도 울진군
3rd row경상북도 울진군
4th row경상북도 울진군
5th row경상북도 울진군

Common Values

ValueCountFrequency (%)
경상북도 울진군 32
100.0%

Length

2023-12-13T05:48:18.767526image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T05:48:18.856057image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
경상북도 32
50.0%
울진군 32
50.0%

사업명
Categorical

Distinct8
Distinct (%)25.0%
Missing0
Missing (%)0.0%
Memory size388.0 B
주택수리비 지원사업
11 
귀농 정착지원사업
11 
귀농인 농업인턴사업
2 
귀농인아이디어공모사업
2 
귀농인이주비용
2 
Other values (3)
4 

Length

Max length11
Median length10
Mean length9.3125
Min length7

Unique

Unique2 ?
Unique (%)6.2%

Sample

1st row귀농정착지원사업
2nd row주택수리비 지원사업
3rd row귀농정착 지원사업
4th row귀농인 농업인턴사업
5th row귀농 정착지원사업

Common Values

ValueCountFrequency (%)
주택수리비 지원사업 11
34.4%
귀농 정착지원사업 11
34.4%
귀농인 농업인턴사업 2
 
6.2%
귀농인아이디어공모사업 2
 
6.2%
귀농인이주비용 2
 
6.2%
귀농인주택설계비 2
 
6.2%
귀농정착지원사업 1
 
3.1%
귀농정착 지원사업 1
 
3.1%

Length

2023-12-13T05:48:18.962985image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T05:48:19.157579image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
지원사업 12
21.1%
주택수리비 11
19.3%
귀농 11
19.3%
정착지원사업 11
19.3%
귀농인 2
 
3.5%
농업인턴사업 2
 
3.5%
귀농인아이디어공모사업 2
 
3.5%
귀농인이주비용 2
 
3.5%
귀농인주택설계비 2
 
3.5%
귀농정착지원사업 1
 
1.8%

총지원액(백만원 단위)
Real number (ℝ)

Distinct16
Distinct (%)50.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean22
Minimum3
Maximum69
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size420.0 B
2023-12-13T05:48:19.285829image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile3.55
Q114.25
median20
Q324
95-th percentile57
Maximum69
Range66
Interquartile range (IQR)9.75

Descriptive statistics

Standard deviation16.354934
Coefficient of variation (CV)0.7434061
Kurtosis2.5594567
Mean22
Median Absolute Deviation (MAD)5
Skewness1.5484292
Sum704
Variance267.48387
MonotonicityNot monotonic
2023-12-13T05:48:19.714653image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
20 6
18.8%
16 5
15.6%
24 4
12.5%
5 2
 
6.2%
32 2
 
6.2%
15 2
 
6.2%
3 2
 
6.2%
12 1
 
3.1%
10 1
 
3.1%
69 1
 
3.1%
Other values (6) 6
18.8%
ValueCountFrequency (%)
3 2
 
6.2%
4 1
 
3.1%
5 2
 
6.2%
7 1
 
3.1%
10 1
 
3.1%
12 1
 
3.1%
15 2
 
6.2%
16 5
15.6%
20 6
18.8%
24 4
12.5%
ValueCountFrequency (%)
69 1
 
3.1%
68 1
 
3.1%
48 1
 
3.1%
44 1
 
3.1%
36 1
 
3.1%
32 2
 
6.2%
24 4
12.5%
20 6
18.8%
16 5
15.6%
15 2
 
6.2%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)3.1%
Missing0
Missing (%)0.0%
Memory size388.0 B
Minimum2022-12-31 00:00:00
Maximum2022-12-31 00:00:00
2023-12-13T05:48:19.839346image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:48:19.945386image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2023-12-13T05:48:18.061269image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:48:17.899919image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:48:18.171027image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:48:17.977933image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T05:48:20.019119image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연도사업명총지원액(백만원 단위)
연도1.0000.0000.000
사업명0.0001.0000.266
총지원액(백만원 단위)0.0000.2661.000
2023-12-13T05:48:20.116489image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연도총지원액(백만원 단위)사업명
연도1.0000.3050.000
총지원액(백만원 단위)0.3051.0000.108
사업명0.0000.1081.000

Missing values

2023-12-13T05:48:18.296052image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T05:48:18.402882image/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

연도시군명사업명총지원액(백만원 단위)데이터기준일자
02010경상북도 울진군귀농정착지원사업162022-12-31
12010경상북도 울진군주택수리비 지원사업152022-12-31
22011경상북도 울진군귀농정착 지원사업122022-12-31
32011경상북도 울진군귀농인 농업인턴사업52022-12-31
42012경상북도 울진군귀농 정착지원사업162022-12-31
52012경상북도 울진군귀농인 농업인턴사업52022-12-31
62013경상북도 울진군귀농 정착지원사업242022-12-31
72013경상북도 울진군주택수리비 지원사업102022-12-31
82014경상북도 울진군귀농인아이디어공모사업322022-12-31
92014경상북도 울진군귀농 정착지원사업692022-12-31
연도시군명사업명총지원액(백만원 단위)데이터기준일자
222018경상북도 울진군귀농 정착지원사업362022-12-31
232018경상북도 울진군주택수리비 지원사업242022-12-31
242019경상북도 울진군귀농 정착지원사업162022-12-31
252019경상북도 울진군주택수리비 지원사업242022-12-31
262020경상북도 울진군귀농 정착지원사업162022-12-31
272020경상북도 울진군주택수리비 지원사업242022-12-31
282021경상북도 울진군귀농 정착지원사업42022-12-31
292021경상북도 울진군주택수리비 지원사업202022-12-31
302022경상북도 울진군귀농 정착지원사업202022-12-31
312022경상북도 울진군주택수리비 지원사업202022-12-31