Overview

Dataset statistics

Number of variables6
Number of observations27
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.4 KiB
Average record size in memory54.9 B

Variable types

Numeric1
Text1
Categorical4

Dataset

Description중소벤처기업진흥공단의 수출지원사업을 통한 원전협력기업 지원현황입니다. 지원사업명, 수출규모, 지원 연월 등을 확인 하실 수 있습니다.
URLhttps://www.data.go.kr/data/15116282/fileData.do

Alerts

지원연도 has constant value ""Constant
연번 has unique valuesUnique

Reproduction

Analysis started2023-12-13 00:15:58.857646
Analysis finished2023-12-13 00:15:59.242170
Duration0.38 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct27
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean14
Minimum1
Maximum27
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size375.0 B
2023-12-13T09:15:59.287628image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2.3
Q17.5
median14
Q320.5
95-th percentile25.7
Maximum27
Range26
Interquartile range (IQR)13

Descriptive statistics

Standard deviation7.9372539
Coefficient of variation (CV)0.56694671
Kurtosis-1.2
Mean14
Median Absolute Deviation (MAD)7
Skewness0
Sum378
Variance63
MonotonicityStrictly increasing
2023-12-13T09:15:59.376233image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
1 1
 
3.7%
2 1
 
3.7%
27 1
 
3.7%
26 1
 
3.7%
25 1
 
3.7%
24 1
 
3.7%
23 1
 
3.7%
22 1
 
3.7%
21 1
 
3.7%
20 1
 
3.7%
Other values (17) 17
63.0%
ValueCountFrequency (%)
1 1
3.7%
2 1
3.7%
3 1
3.7%
4 1
3.7%
5 1
3.7%
6 1
3.7%
7 1
3.7%
8 1
3.7%
9 1
3.7%
10 1
3.7%
ValueCountFrequency (%)
27 1
3.7%
26 1
3.7%
25 1
3.7%
24 1
3.7%
23 1
3.7%
22 1
3.7%
21 1
3.7%
20 1
3.7%
19 1
3.7%
18 1
3.7%

기업명
Text

Distinct20
Distinct (%)74.1%
Missing0
Missing (%)0.0%
Memory size348.0 B
2023-12-13T09:15:59.498957image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length5
Median length5
Mean length5
Min length5

Characters and Unicode

Total characters135
Distinct characters21
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique15 ?
Unique (%)55.6%

Sample

1st row유****
2nd row성****
3rd row고****
4th row삼****
5th row비****
ValueCountFrequency (%)
비 3
 
11.1%
동 3
 
11.1%
삼 2
 
7.4%
정 2
 
7.4%
케 2
 
7.4%
파 1
 
3.7%
유 1
 
3.7%
디 1
 
3.7%
세 1
 
3.7%
코 1
 
3.7%
Other values (10) 10
37.0%
2023-12-13T09:15:59.716975image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 108
80.0%
비 3
 
2.2%
동 3
 
2.2%
삼 2
 
1.5%
정 2
 
1.5%
케 2
 
1.5%
파 1
 
0.7%
유 1
 
0.7%
디 1
 
0.7%
세 1
 
0.7%
Other values (11) 11
 
8.1%

Most occurring categories

ValueCountFrequency (%)
Other Punctuation 108
80.0%
Other Letter 27
 
20.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
비 3
 
11.1%
동 3
 
11.1%
삼 2
 
7.4%
정 2
 
7.4%
케 2
 
7.4%
파 1
 
3.7%
유 1
 
3.7%
디 1
 
3.7%
세 1
 
3.7%
코 1
 
3.7%
Other values (10) 10
37.0%
Other Punctuation
ValueCountFrequency (%)
* 108
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 108
80.0%
Hangul 27
 
20.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
비 3
 
11.1%
동 3
 
11.1%
삼 2
 
7.4%
정 2
 
7.4%
케 2
 
7.4%
파 1
 
3.7%
유 1
 
3.7%
디 1
 
3.7%
세 1
 
3.7%
코 1
 
3.7%
Other values (10) 10
37.0%
Common
ValueCountFrequency (%)
* 108
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 108
80.0%
Hangul 27
 
20.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 108
100.0%
Hangul
ValueCountFrequency (%)
비 3
 
11.1%
동 3
 
11.1%
삼 2
 
7.4%
정 2
 
7.4%
케 2
 
7.4%
파 1
 
3.7%
유 1
 
3.7%
디 1
 
3.7%
세 1
 
3.7%
코 1
 
3.7%
Other values (10) 10
37.0%

지원사업명
Categorical

Distinct6
Distinct (%)22.2%
Missing0
Missing (%)0.0%
Memory size348.0 B
수출바우처
12 
수출BI
4 
온라인수출플랫폼
4 
물류전용 수출바우처
3 
무역사절단
2 

Length

Max length12
Median length5
Mean length6.3703704
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row수출BI
2nd row수출바우처
3rd row수출바우처
4th row무역사절단
5th row온라인수출플랫폼

Common Values

ValueCountFrequency (%)
수출바우처 12
44.4%
수출BI 4
 
14.8%
온라인수출플랫폼 4
 
14.8%
물류전용 수출바우처 3
 
11.1%
무역사절단 2
 
7.4%
글로벌강소기업 육성사업 2
 
7.4%

Length

2023-12-13T09:15:59.823192image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T09:15:59.915009image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
수출바우처 15
46.9%
수출bi 4
 
12.5%
온라인수출플랫폼 4
 
12.5%
물류전용 3
 
9.4%
무역사절단 2
 
6.2%
글로벌강소기업 2
 
6.2%
육성사업 2
 
6.2%

지원연도
Categorical

CONSTANT 

Distinct1
Distinct (%)3.7%
Missing0
Missing (%)0.0%
Memory size348.0 B
2022
27 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2022
2nd row2022
3rd row2022
4th row2022
5th row2022

Common Values

ValueCountFrequency (%)
2022 27
100.0%

Length

2023-12-13T09:16:00.009291image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T09:16:00.087917image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2022 27
100.0%

소재지
Categorical

Distinct10
Distinct (%)37.0%
Missing0
Missing (%)0.0%
Memory size348.0 B
부산
10 
경기
4 
울산
3 
충남
2 
대전
2 
Other values (5)
6 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique4 ?
Unique (%)14.8%

Sample

1st row부산
2nd row부산
3rd row경기
4th row충남
5th row대전

Common Values

ValueCountFrequency (%)
부산 10
37.0%
경기 4
 
14.8%
울산 3
 
11.1%
충남 2
 
7.4%
대전 2
 
7.4%
경남 2
 
7.4%
충북 1
 
3.7%
인천 1
 
3.7%
경북 1
 
3.7%
전남 1
 
3.7%

Length

2023-12-13T09:16:00.159001image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T09:16:00.250586image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
부산 10
37.0%
경기 4
 
14.8%
울산 3
 
11.1%
충남 2
 
7.4%
대전 2
 
7.4%
경남 2
 
7.4%
충북 1
 
3.7%
인천 1
 
3.7%
경북 1
 
3.7%
전남 1
 
3.7%

수출규모
Categorical

Distinct6
Distinct (%)22.2%
Missing0
Missing (%)0.0%
Memory size348.0 B
500만불 미만
11 
5000만불 미만
6 
100만불 미만
4 
10만불 미만
4 
1000만불 미만
 
1

Length

Max length9
Median length8
Mean length8.0740741
Min length7

Unique

Unique2 ?
Unique (%)7.4%

Sample

1st row100만불 미만
2nd row5000만불 미만
3rd row10만불 미만
4th row5000만불 미만
5th row10만불 미만

Common Values

ValueCountFrequency (%)
500만불 미만 11
40.7%
5000만불 미만 6
22.2%
100만불 미만 4
 
14.8%
10만불 미만 4
 
14.8%
1000만불 미만 1
 
3.7%
5천만불 이상 1
 
3.7%

Length

2023-12-13T09:16:00.358411image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T09:16:00.455258image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
미만 26
48.1%
500만불 11
20.4%
5000만불 6
 
11.1%
100만불 4
 
7.4%
10만불 4
 
7.4%
1000만불 1
 
1.9%
5천만불 1
 
1.9%
이상 1
 
1.9%

Interactions

2023-12-13T09:15:59.037474image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T09:16:00.514534image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번기업명지원사업명소재지수출규모
연번1.0000.5940.0000.7180.156
기업명0.5941.0000.6500.7420.000
지원사업명0.0000.6501.0000.2030.000
소재지0.7180.7420.2031.0000.198
수출규모0.1560.0000.0000.1981.000
2023-12-13T09:16:00.587749image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
지원사업명소재지수출규모
지원사업명1.0000.0000.000
소재지0.0001.0000.000
수출규모0.0000.0001.000
2023-12-13T09:16:00.651718image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번지원사업명소재지수출규모
연번1.0000.0000.2650.000
지원사업명0.0001.0000.0000.000
소재지0.2650.0001.0000.000
수출규모0.0000.0000.0001.000

Missing values

2023-12-13T09:15:59.131702image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T09:15:59.211513image/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

연번기업명지원사업명지원연도소재지수출규모
01유****수출BI2022부산100만불 미만
12성****수출바우처2022부산5000만불 미만
23고****수출바우처2022경기10만불 미만
34삼****무역사절단2022충남5000만불 미만
45비****온라인수출플랫폼2022대전10만불 미만
56정****수출바우처2022충남5000만불 미만
67비****수출바우처2022경남500만불 미만
78소****수출바우처2022충북10만불 미만
89아****수출BI2022인천5000만불 미만
910비****수출바우처2022경기500만불 미만
연번기업명지원사업명지원연도소재지수출규모
1718두****수출바우처2022경기500만불 미만
1819파****수출BI2022경남500만불 미만
1920중****수출바우처2022울산500만불 미만
2021케****수출바우처2022대전100만불 미만
2122케****온라인수출플랫폼2022경기500만불 미만
2223코****글로벌강소기업 육성사업2022부산500만불 미만
2324동****수출바우처2022부산1000만불 미만
2425세****물류전용 수출바우처2022부산500만불 미만
2526동****수출바우처2022부산500만불 미만
2627펠****수출BI2022부산5천만불 이상