Overview

Dataset statistics

Number of variables5
Number of observations32
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.5 KiB
Average record size in memory47.1 B

Variable types

Categorical2
Numeric3

Dataset

Description한국수력원자력(주) 주요 사회공헌사업 연도별 출연액에 대한 자료입니다. 각 사업별 지원 종류, 지원금액 등의 내용을 포함합니다.
URLhttps://www.data.go.kr/data/15061813/fileData.do

Alerts

지원수량(대_곳_본) is highly overall correlated with 지원예산(원) and 1 other fieldsHigh correlation
지원예산(원) is highly overall correlated with 지원수량(대_곳_본)High correlation
구분 is highly overall correlated with 지원종류High correlation
지원종류 is highly overall correlated with 지원수량(대_곳_본) and 1 other fieldsHigh correlation

Reproduction

Analysis started2023-12-12 07:07:41.632908
Analysis finished2023-12-12 07:07:42.922105
Duration1.29 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

구분
Categorical

HIGH CORRELATION 

Distinct4
Distinct (%)12.5%
Missing0
Missing (%)0.0%
Memory size388.0 B
행복더함 희망나래
18 
안심가로등
9 
지역아동센터 행복나눔
4 
안심카플러스
 
1

Length

Max length11
Median length9
Mean length8.03125
Min length5

Unique

Unique1 ?
Unique (%)3.1%

Sample

1st row행복더함 희망나래
2nd row행복더함 희망나래
3rd row행복더함 희망나래
4th row행복더함 희망나래
5th row행복더함 희망나래

Common Values

ValueCountFrequency (%)
행복더함 희망나래 18
56.2%
안심가로등 9
28.1%
지역아동센터 행복나눔 4
 
12.5%
안심카플러스 1
 
3.1%

Length

2023-12-12T16:07:42.999350image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T16:07:43.140743image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
행복더함 18
33.3%
희망나래 18
33.3%
안심가로등 9
16.7%
지역아동센터 4
 
7.4%
행복나눔 4
 
7.4%
안심카플러스 1
 
1.9%

지원종류
Categorical

HIGH CORRELATION 

Distinct7
Distinct (%)21.9%
Missing0
Missing (%)0.0%
Memory size388.0 B
안심카
11 
희망나래도서관
9 
태양광
4 
태양광(하이브리드 10본 포함)
4 
생각발전소 도서관
2 
Other values (2)
2 

Length

Max length17
Median length9
Mean length7.125
Min length3

Unique

Unique2 ?
Unique (%)6.2%

Sample

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

Common Values

ValueCountFrequency (%)
안심카 11
34.4%
희망나래도서관 9
28.1%
태양광 4
 
12.5%
태양광(하이브리드 10본 포함) 4
 
12.5%
생각발전소 도서관 2
 
6.2%
기지원 안심카 아동통학차량 튜닝 1
 
3.1%
태양광(하이브리드 12본 포함) 1
 
3.1%

Length

2023-12-12T16:07:43.300347image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T16:07:43.461347image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
안심카 12
25.5%
희망나래도서관 9
19.1%
태양광(하이브리드 5
10.6%
포함 5
10.6%
태양광 4
 
8.5%
10본 4
 
8.5%
생각발전소 2
 
4.3%
도서관 2
 
4.3%
기지원 1
 
2.1%
아동통학차량 1
 
2.1%
Other values (2) 2
 
4.3%

지원수량(대_곳_본)
Real number (ℝ)

HIGH CORRELATION 

Distinct26
Distinct (%)81.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean133.59375
Minimum9
Maximum507
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size420.0 B
2023-12-12T16:07:43.599117image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum9
5-th percentile12.75
Q126.5
median52.5
Q3269
95-th percentile409.55
Maximum507
Range498
Interquartile range (IQR)242.5

Descriptive statistics

Standard deviation156.04732
Coefficient of variation (CV)1.1680735
Kurtosis-0.28526554
Mean133.59375
Median Absolute Deviation (MAD)32.5
Skewness1.1467394
Sum4275
Variance24350.765
MonotonicityNot monotonic
2023-12-12T16:07:43.758701image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
30 3
 
9.4%
20 2
 
6.2%
332 2
 
6.2%
85 2
 
6.2%
16 2
 
6.2%
420 1
 
3.1%
399 1
 
3.1%
363 1
 
3.1%
401 1
 
3.1%
317 1
 
3.1%
Other values (16) 16
50.0%
ValueCountFrequency (%)
9 1
 
3.1%
10 1
 
3.1%
15 1
 
3.1%
16 2
6.2%
20 2
6.2%
25 1
 
3.1%
27 1
 
3.1%
30 3
9.4%
32 1
 
3.1%
37 1
 
3.1%
ValueCountFrequency (%)
507 1
3.1%
420 1
3.1%
401 1
3.1%
399 1
3.1%
363 1
3.1%
332 2
6.2%
317 1
3.1%
253 1
3.1%
95 1
3.1%
85 2
6.2%

년도
Real number (ℝ)

Distinct11
Distinct (%)34.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2017.4062
Minimum2012
Maximum2022
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size420.0 B
2023-12-12T16:07:43.897522image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2012
5-th percentile2012.55
Q12015
median2017.5
Q32020
95-th percentile2022
Maximum2022
Range10
Interquartile range (IQR)5

Descriptive statistics

Standard deviation3.1093965
Coefficient of variation (CV)0.0015412843
Kurtosis-1.1619435
Mean2017.4062
Median Absolute Deviation (MAD)2.5
Skewness-0.13096945
Sum64557
Variance9.6683468
MonotonicityNot monotonic
2023-12-12T16:07:44.059237image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
2021 4
12.5%
2014 3
9.4%
2015 3
9.4%
2016 3
9.4%
2017 3
9.4%
2018 3
9.4%
2019 3
9.4%
2020 3
9.4%
2022 3
9.4%
2012 2
6.2%
ValueCountFrequency (%)
2012 2
6.2%
2013 2
6.2%
2014 3
9.4%
2015 3
9.4%
2016 3
9.4%
2017 3
9.4%
2018 3
9.4%
2019 3
9.4%
2020 3
9.4%
2021 4
12.5%
ValueCountFrequency (%)
2022 3
9.4%
2021 4
12.5%
2020 3
9.4%
2019 3
9.4%
2018 3
9.4%
2017 3
9.4%
2016 3
9.4%
2015 3
9.4%
2014 3
9.4%
2013 2
6.2%

지원예산(원)
Real number (ℝ)

HIGH CORRELATION 

Distinct24
Distinct (%)75.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.6660938 × 109
Minimum1.55 × 108
Maximum4 × 109
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size420.0 B
2023-12-12T16:07:44.225700image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1.55 × 108
5-th percentile2.73 × 108
Q15.725 × 108
median1.425 × 109
Q32.6 × 109
95-th percentile4 × 109
Maximum4 × 109
Range3.845 × 109
Interquartile range (IQR)2.0275 × 109

Descriptive statistics

Standard deviation1.2879546 × 109
Coefficient of variation (CV)0.77303848
Kurtosis-0.98869215
Mean1.6660938 × 109
Median Absolute Deviation (MAD)1 × 109
Skewness0.56305784
Sum5.3315 × 1010
Variance1.658827 × 1018
MonotonicityNot monotonic
2023-12-12T16:07:44.383227image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
4000000000 4
 
12.5%
3000000000 3
 
9.4%
680000000 3
 
9.4%
2000000000 2
 
6.2%
360000000 1
 
3.1%
240000000 1
 
3.1%
300000000 1
 
3.1%
600000000 1
 
3.1%
320000000 1
 
3.1%
490000000 1
 
3.1%
Other values (14) 14
43.8%
ValueCountFrequency (%)
155000000 1
3.1%
240000000 1
3.1%
300000000 1
3.1%
320000000 1
3.1%
330000000 1
3.1%
360000000 1
3.1%
400000000 1
3.1%
490000000 1
3.1%
600000000 1
3.1%
640000000 1
3.1%
ValueCountFrequency (%)
4000000000 4
12.5%
3000000000 3
9.4%
2720000000 1
 
3.1%
2560000000 1
 
3.1%
2400000000 1
 
3.1%
2350000000 1
 
3.1%
2150000000 1
 
3.1%
2000000000 2
6.2%
1620000000 1
 
3.1%
1480000000 1
 
3.1%

Interactions

2023-12-12T16:07:42.446703image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:07:41.832850image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:07:42.148239image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:07:42.537353image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:07:41.932588image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:07:42.244579image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:07:42.633722image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:07:42.032865image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:07:42.332230image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T16:07:44.496043image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
구분지원종류지원수량(대_곳_본)년도지원예산(원)
구분1.0000.8050.6270.3720.707
지원종류0.8051.0000.9190.0000.504
지원수량(대_곳_본)0.6270.9191.0000.0000.857
년도0.3720.0000.0001.0000.000
지원예산(원)0.7070.5040.8570.0001.000
2023-12-12T16:07:44.597795image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
구분지원종류
구분1.0000.663
지원종류0.6631.000
2023-12-12T16:07:45.037457image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
지원수량(대_곳_본)년도지원예산(원)구분지원종류
지원수량(대_곳_본)1.0000.2640.9060.4550.574
년도0.2641.0000.3550.2530.000
지원예산(원)0.9060.3551.0000.4840.279
구분0.4550.2530.4841.0000.663
지원종류0.5740.0000.2790.6631.000

Missing values

2023-12-12T16:07:42.790689image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T16:07:42.886036image/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

구분지원종류지원수량(대_곳_본)년도지원예산(원)
0행복더함 희망나래안심카152012360000000
1행복더함 희망나래안심카252013640000000
2행복더함 희망나래안심카6020141620000000
3행복더함 희망나래안심카5020151370000000
4행복더함 희망나래안심카9520162560000000
5행복더함 희망나래안심카8020172150000000
6행복더함 희망나래안심카8420182350000000
7행복더함 희망나래안심카8520192400000000
8행복더함 희망나래안심카8520202720000000
9지역아동센터 행복나눔기지원 안심카 아동통학차량 튜닝50720211480000000
구분지원종류지원수량(대_곳_본)년도지원예산(원)
22지역아동센터 행복나눔생각발전소 도서관202022600000000
23안심가로등태양광372014300000000
24안심가로등태양광25320152000000000
25안심가로등태양광31720163000000000
26안심가로등태양광40120174000000000
27안심가로등태양광(하이브리드 10본 포함)36320184000000000
28안심가로등태양광(하이브리드 10본 포함)33220193000000000
29안심가로등태양광(하이브리드 10본 포함)33220203000000000
30안심가로등태양광(하이브리드 12본 포함)39920214000000000
31안심가로등태양광(하이브리드 10본 포함)42020224000000000