Overview

Dataset statistics

Number of variables4
Number of observations33
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.3 KiB
Average record size in memory39.0 B

Variable types

Categorical2
Numeric2

Dataset

Description중소벤처기업진흥공단의 청년전용창업자금 관련 데이터로 업종별로 자금 지원금액과 지원건수를 확인할 수 있습니다.
Author중소벤처기업진흥공단
URLhttps://www.data.go.kr/data/15124434/fileData.do

Alerts

지원금액_백만원 is highly overall correlated with 지원건수High correlation
지원건수 is highly overall correlated with 지원금액_백만원High correlation
지원금액_백만원 has unique valuesUnique

Reproduction

Analysis started2023-12-12 20:57:18.836080
Analysis finished2023-12-12 20:57:19.421227
Duration0.59 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

지원연도
Categorical

Distinct3
Distinct (%)9.1%
Missing0
Missing (%)0.0%
Memory size396.0 B
2020
11 
2021
11 
2022
11 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2020
2nd row2020
3rd row2020
4th row2020
5th row2020

Common Values

ValueCountFrequency (%)
2020 11
33.3%
2021 11
33.3%
2022 11
33.3%

Length

2023-12-13T05:57:19.495291image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T05:57:19.605348image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2020 11
33.3%
2021 11
33.3%
2022 11
33.3%

업종
Categorical

Distinct11
Distinct (%)33.3%
Missing0
Missing (%)0.0%
Memory size396.0 B
금속
3 
기계
3 
기타
3 
섬유
3 
식료
3 
Other values (6)
18 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row금속
2nd row기계
3rd row기타
4th row섬유
5th row식료

Common Values

ValueCountFrequency (%)
금속 3
9.1%
기계 3
9.1%
기타 3
9.1%
섬유 3
9.1%
식료 3
9.1%
유통 3
9.1%
잡화 3
9.1%
전기 3
9.1%
전자 3
9.1%
정보 3
9.1%

Length

2023-12-13T05:57:19.717567image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
금속 3
9.1%
기계 3
9.1%
기타 3
9.1%
섬유 3
9.1%
식료 3
9.1%
유통 3
9.1%
잡화 3
9.1%
전기 3
9.1%
전자 3
9.1%
정보 3
9.1%

지원금액_백만원
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct33
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean17575.758
Minimum7070
Maximum38160
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size429.0 B
2023-12-13T05:57:19.817277image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum7070
5-th percentile8148
Q112810
median17046
Q320460
95-th percentile30696
Maximum38160
Range31090
Interquartile range (IQR)7650

Descriptive statistics

Standard deviation7229.9673
Coefficient of variation (CV)0.41136021
Kurtosis1.3816986
Mean17575.758
Median Absolute Deviation (MAD)4234
Skewness0.98270874
Sum580000
Variance52272427
MonotonicityNot monotonic
2023-12-13T05:57:19.934747image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=33)
ValueCountFrequency (%)
18474 1
 
3.0%
15610 1
 
3.0%
10140 1
 
3.0%
38160 1
 
3.0%
19781 1
 
3.0%
19807 1
 
3.0%
16068 1
 
3.0%
21280 1
 
3.0%
25527 1
 
3.0%
17046 1
 
3.0%
Other values (23) 23
69.7%
ValueCountFrequency (%)
7070 1
3.0%
7770 1
3.0%
8400 1
3.0%
9200 1
3.0%
9500 1
3.0%
10140 1
3.0%
10300 1
3.0%
12150 1
3.0%
12810 1
3.0%
13360 1
3.0%
ValueCountFrequency (%)
38160 1
3.0%
35190 1
3.0%
27700 1
3.0%
25527 1
3.0%
24100 1
3.0%
23490 1
3.0%
21740 1
3.0%
21280 1
3.0%
20460 1
3.0%
19807 1
3.0%

지원건수
Real number (ℝ)

HIGH CORRELATION 

Distinct31
Distinct (%)93.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean180.78788
Minimum71
Maximum415
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size429.0 B
2023-12-13T05:57:20.050776image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum71
5-th percentile82.8
Q1134
median174
Q3209
95-th percentile336.4
Maximum415
Range344
Interquartile range (IQR)75

Descriptive statistics

Standard deviation79.611854
Coefficient of variation (CV)0.44036058
Kurtosis1.8443211
Mean180.78788
Median Absolute Deviation (MAD)40
Skewness1.1908922
Sum5966
Variance6338.0473
MonotonicityNot monotonic
2023-12-13T05:57:20.188774image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
189 2
 
6.1%
186 2
 
6.1%
178 1
 
3.0%
153 1
 
3.0%
161 1
 
3.0%
379 1
 
3.0%
95 1
 
3.0%
75 1
 
3.0%
261 1
 
3.0%
246 1
 
3.0%
Other values (21) 21
63.6%
ValueCountFrequency (%)
71 1
3.0%
75 1
3.0%
88 1
3.0%
93 1
3.0%
94 1
3.0%
95 1
3.0%
104 1
3.0%
130 1
3.0%
134 1
3.0%
146 1
3.0%
ValueCountFrequency (%)
415 1
3.0%
379 1
3.0%
308 1
3.0%
261 1
3.0%
257 1
3.0%
246 1
3.0%
230 1
3.0%
227 1
3.0%
209 1
3.0%
189 2
6.1%

Interactions

2023-12-13T05:57:19.088597image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:57:18.952193image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:57:19.189259image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:57:19.016877image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T05:57:20.286831image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
지원연도업종지원금액_백만원지원건수
지원연도1.0000.0000.2040.000
업종0.0001.0000.7240.736
지원금액_백만원0.2040.7241.0000.953
지원건수0.0000.7360.9531.000
2023-12-13T05:57:20.384696image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
업종지원연도
업종1.0000.000
지원연도0.0001.000
2023-12-13T05:57:20.498388image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
지원금액_백만원지원건수지원연도업종
지원금액_백만원1.0000.9790.0000.433
지원건수0.9791.0000.0000.419
지원연도0.0000.0001.0000.000
업종0.4330.4190.0001.000

Missing values

2023-12-13T05:57:19.308561image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T05:57:19.380088image/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

지원연도업종지원금액_백만원지원건수
02020금속18474178
12020기계17046166
22020기타16750188
32020섬유840093
42020식료12810130
52020유통15940174
62020잡화13360150
72020전기707071
82020전자10300104
92020정보27700308
지원연도업종지원금액_백만원지원건수
232022기계16068148
242022기타21280230
252022섬유15610156
262022식료25527246
272022유통24100261
282022잡화17978186
292022전기777075
302022전자950095
312022정보35190379
322022화공17170161