Overview

Dataset statistics

Number of variables4
Number of observations91
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory3.2 KiB
Average record size in memory35.5 B

Variable types

Numeric2
Categorical2

Dataset

Description투융자복합금융 스케일업금융의 기업형태별(외감,유가증권,코스닥) 지원현황에 대한 데이터를 제공합니다. 형태에 따른 업종 및 지원금액이 포함되어 있습니다.
Author중소벤처기업진흥공단
URLhttps://www.data.go.kr/data/15107085/fileData.do

Alerts

번호 is highly overall correlated with 지원금액_백만원High correlation
지원금액_백만원 is highly overall correlated with 번호High correlation
기업형태 is highly imbalanced (78.1%)Imbalance
번호 has unique valuesUnique

Reproduction

Analysis started2023-12-12 13:05:39.435297
Analysis finished2023-12-12 13:05:40.123764
Duration0.69 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct91
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean46
Minimum1
Maximum91
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size951.0 B
2023-12-12T22:05:40.194609image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile5.5
Q123.5
median46
Q368.5
95-th percentile86.5
Maximum91
Range90
Interquartile range (IQR)45

Descriptive statistics

Standard deviation26.41338
Coefficient of variation (CV)0.57420392
Kurtosis-1.2
Mean46
Median Absolute Deviation (MAD)23
Skewness0
Sum4186
Variance697.66667
MonotonicityStrictly increasing
2023-12-12T22:05:40.315493image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
1.1%
59 1
 
1.1%
68 1
 
1.1%
67 1
 
1.1%
66 1
 
1.1%
65 1
 
1.1%
64 1
 
1.1%
63 1
 
1.1%
62 1
 
1.1%
61 1
 
1.1%
Other values (81) 81
89.0%
ValueCountFrequency (%)
1 1
1.1%
2 1
1.1%
3 1
1.1%
4 1
1.1%
5 1
1.1%
6 1
1.1%
7 1
1.1%
8 1
1.1%
9 1
1.1%
10 1
1.1%
ValueCountFrequency (%)
91 1
1.1%
90 1
1.1%
89 1
1.1%
88 1
1.1%
87 1
1.1%
86 1
1.1%
85 1
1.1%
84 1
1.1%
83 1
1.1%
82 1
1.1%

기업형태
Categorical

IMBALANCE 

Distinct3
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size860.0 B
외감
86 
코넥스
 
4
코스닥
 
1

Length

Max length3
Median length2
Mean length2.0549451
Min length2

Unique

Unique1 ?
Unique (%)1.1%

Sample

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

Common Values

ValueCountFrequency (%)
외감 86
94.5%
코넥스 4
 
4.4%
코스닥 1
 
1.1%

Length

2023-12-12T22:05:40.423590image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T22:05:40.509441image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
외감 86
94.5%
코넥스 4
 
4.4%
코스닥 1
 
1.1%

업종
Categorical

Distinct11
Distinct (%)12.1%
Missing0
Missing (%)0.0%
Memory size860.0 B
기계
31 
금속
14 
화공
14 
식료
9 
정보
5 
Other values (6)
18 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique1 ?
Unique (%)1.1%

Sample

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

Common Values

ValueCountFrequency (%)
기계 31
34.1%
금속 14
15.4%
화공 14
15.4%
식료 9
 
9.9%
정보 5
 
5.5%
잡화 5
 
5.5%
전자 4
 
4.4%
기타 3
 
3.3%
전기 3
 
3.3%
유통 2
 
2.2%

Length

2023-12-12T22:05:40.607356image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
기계 31
34.1%
금속 14
15.4%
화공 14
15.4%
식료 9
 
9.9%
정보 5
 
5.5%
잡화 5
 
5.5%
전자 4
 
4.4%
기타 3
 
3.3%
전기 3
 
3.3%
유통 2
 
2.2%

지원금액_백만원
Real number (ℝ)

HIGH CORRELATION 

Distinct31
Distinct (%)34.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean659.27473
Minimum215
Maximum1790
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size951.0 B
2023-12-12T22:05:40.705273image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum215
5-th percentile310
Q1354.5
median477
Q3895
95-th percentile1271.5
Maximum1790
Range1575
Interquartile range (IQR)540.5

Descriptive statistics

Standard deviation366.23335
Coefficient of variation (CV)0.55550947
Kurtosis0.46299327
Mean659.27473
Median Absolute Deviation (MAD)155
Skewness1.0512003
Sum59994
Variance134126.87
MonotonicityNot monotonic
2023-12-12T22:05:40.836829image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
338 14
15.4%
403 9
 
9.9%
746 8
 
8.8%
895 7
 
7.7%
1044 5
 
5.5%
1194 5
 
5.5%
322 4
 
4.4%
388 4
 
4.4%
477 3
 
3.3%
1080 3
 
3.3%
Other values (21) 29
31.9%
ValueCountFrequency (%)
215 1
 
1.1%
263 1
 
1.1%
288 1
 
1.1%
298 2
 
2.2%
322 4
 
4.4%
338 14
15.4%
371 1
 
1.1%
388 4
 
4.4%
403 9
9.9%
418 2
 
2.2%
ValueCountFrequency (%)
1790 2
 
2.2%
1492 1
 
1.1%
1343 2
 
2.2%
1200 2
 
2.2%
1194 5
5.5%
1080 3
 
3.3%
1044 5
5.5%
902 1
 
1.1%
895 7
7.7%
746 8
8.8%

Interactions

2023-12-12T22:05:39.742164image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:05:39.569203image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:05:39.836571image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:05:39.651056image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T22:05:40.926303image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
번호기업형태업종지원금액_백만원
번호1.0000.0000.0000.786
기업형태0.0001.0000.0620.000
업종0.0000.0621.0000.000
지원금액_백만원0.7860.0000.0001.000
2023-12-12T22:05:41.029090image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
업종기업형태
업종1.0000.000
기업형태0.0001.000
2023-12-12T22:05:41.115700image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
번호지원금액_백만원기업형태업종
번호1.000-0.5840.0000.000
지원금액_백만원-0.5841.0000.0000.000
기업형태0.0000.0001.0000.000
업종0.0000.0000.0001.000

Missing values

2023-12-12T22:05:39.999763image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T22:05:40.086265image/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

번호기업형태업종지원금액_백만원
01외감기계895
12외감식료895
23외감기타388
34외감금속895
45외감화공298
56외감금속1044
67외감정보1044
78외감기계388
89외감식료418
910외감금속298
번호기업형태업종지원금액_백만원
8182외감섬유338
8283외감기계338
8384외감전자338
8485코넥스정보338
8586외감기계338
8687외감금속338
8788외감기계338
8889외감화공263
8990외감화공338
9091외감식료338