Overview

Dataset statistics

Number of variables8
Number of observations25
Missing cells25
Missing cells (%)12.5%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.8 KiB
Average record size in memory72.3 B

Variable types

Text4
Numeric1
Categorical2
Unsupported1

Dataset

Description산림과학기술정보서비스(FTIS) 시스템 성과관리(사업화)에 대한 데이터로 사업화명, 사업화 주체, 제품명 등의 정보를 제공합니다.
Author산림청
URLhttps://www.data.go.kr/data/15091880/fileData.do

Alerts

고용창출인원수 is highly overall correlated with 사업화주체_대표자명High correlation
사업화주체_대표자명 is highly overall correlated with 고용창출인원수High correlation
Unnamed: 7 has 25 (100.0%) missing valuesMissing
사업화내용 has unique valuesUnique
Unnamed: 7 is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2023-12-12 08:54:00.189859
Analysis finished2023-12-12 08:54:01.169434
Duration0.98 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

Distinct23
Distinct (%)92.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
2023-12-12T17:54:01.413145image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length34
Median length25
Mean length18.24
Min length3

Characters and Unicode

Total characters456
Distinct characters151
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique21 ?
Unique (%)84.0%

Sample

1st row헛개나무 잎의 사업화를 위한 임업기술 및 식품개발
2nd rowe-IoT 디바이스 외 납품
3rd row새만금 간척지 자원림 관리를 위한 미생물비료 판매
4th row데이터 모니터링 시스템
5th row어장 관리시스템
ValueCountFrequency (%)
판매 5
 
4.9%
e-iot 4
 
3.9%
lora 4
 
3.9%
제작 4
 
3.9%
게이트웨이_주식회사 3
 
2.9%
3
 
2.9%
위한 3
 
2.9%
새만금 2
 
2.0%
시제품 2
 
2.0%
미생물비료 2
 
2.0%
Other values (63) 70
68.6%
2023-12-12T17:54:01.938555image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
76
 
16.7%
16
 
3.5%
15
 
3.3%
o 11
 
2.4%
8
 
1.8%
8
 
1.8%
7
 
1.5%
a 7
 
1.5%
6
 
1.3%
6
 
1.3%
Other values (141) 296
64.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 304
66.7%
Space Separator 76
 
16.7%
Lowercase Letter 34
 
7.5%
Uppercase Letter 29
 
6.4%
Dash Punctuation 5
 
1.1%
Connector Punctuation 3
 
0.7%
Other Punctuation 1
 
0.2%
Close Punctuation 1
 
0.2%
Open Punctuation 1
 
0.2%
Control 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
16
 
5.3%
15
 
4.9%
8
 
2.6%
8
 
2.6%
7
 
2.3%
6
 
2.0%
6
 
2.0%
6
 
2.0%
6
 
2.0%
5
 
1.6%
Other values (110) 221
72.7%
Uppercase Letter
ValueCountFrequency (%)
L 5
17.2%
T 5
17.2%
I 5
17.2%
R 4
13.8%
P 2
 
6.9%
C 2
 
6.9%
A 1
 
3.4%
W 1
 
3.4%
D 1
 
3.4%
V 1
 
3.4%
Other values (2) 2
 
6.9%
Lowercase Letter
ValueCountFrequency (%)
o 11
32.4%
a 7
20.6%
e 5
14.7%
n 3
 
8.8%
t 2
 
5.9%
g 1
 
2.9%
m 1
 
2.9%
i 1
 
2.9%
p 1
 
2.9%
s 1
 
2.9%
Space Separator
ValueCountFrequency (%)
76
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 5
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 3
100.0%
Other Punctuation
ValueCountFrequency (%)
: 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Control
ValueCountFrequency (%)
1
100.0%
Decimal Number
ValueCountFrequency (%)
2 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 304
66.7%
Common 89
 
19.5%
Latin 63
 
13.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
16
 
5.3%
15
 
4.9%
8
 
2.6%
8
 
2.6%
7
 
2.3%
6
 
2.0%
6
 
2.0%
6
 
2.0%
6
 
2.0%
5
 
1.6%
Other values (110) 221
72.7%
Latin
ValueCountFrequency (%)
o 11
17.5%
a 7
11.1%
L 5
 
7.9%
e 5
 
7.9%
T 5
 
7.9%
I 5
 
7.9%
R 4
 
6.3%
n 3
 
4.8%
P 2
 
3.2%
t 2
 
3.2%
Other values (13) 14
22.2%
Common
ValueCountFrequency (%)
76
85.4%
- 5
 
5.6%
_ 3
 
3.4%
: 1
 
1.1%
) 1
 
1.1%
( 1
 
1.1%
1
 
1.1%
2 1
 
1.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 304
66.7%
ASCII 152
33.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
76
50.0%
o 11
 
7.2%
a 7
 
4.6%
L 5
 
3.3%
e 5
 
3.3%
T 5
 
3.3%
I 5
 
3.3%
- 5
 
3.3%
R 4
 
2.6%
n 3
 
2.0%
Other values (21) 26
 
17.1%
Hangul
ValueCountFrequency (%)
16
 
5.3%
15
 
4.9%
8
 
2.6%
8
 
2.6%
7
 
2.3%
6
 
2.0%
6
 
2.0%
6
 
2.0%
6
 
2.0%
5
 
1.6%
Other values (110) 221
72.7%

사업화년도
Real number (ℝ)

Distinct6
Distinct (%)24.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2018
Minimum2010
Maximum2020
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size357.0 B
2023-12-12T17:54:02.082408image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2010
5-th percentile2016
Q12017
median2018
Q32019
95-th percentile2020
Maximum2020
Range10
Interquartile range (IQR)2

Descriptive statistics

Standard deviation2.0412415
Coefficient of variation (CV)0.0010115171
Kurtosis9.5459289
Mean2018
Median Absolute Deviation (MAD)1
Skewness-2.619889
Sum50450
Variance4.1666667
MonotonicityNot monotonic
2023-12-12T17:54:02.197398image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
2019 8
32.0%
2018 6
24.0%
2020 4
16.0%
2017 4
16.0%
2016 2
 
8.0%
2010 1
 
4.0%
ValueCountFrequency (%)
2010 1
 
4.0%
2016 2
 
8.0%
2017 4
16.0%
2018 6
24.0%
2019 8
32.0%
2020 4
16.0%
ValueCountFrequency (%)
2020 4
16.0%
2019 8
32.0%
2018 6
24.0%
2017 4
16.0%
2016 2
 
8.0%
2010 1
 
4.0%

사업화내용
Text

UNIQUE 

Distinct25
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
2023-12-12T17:54:02.510282image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length111
Median length39
Mean length33.72
Min length3

Characters and Unicode

Total characters843
Distinct characters195
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique25 ?
Unique (%)100.0%

Sample

1st row유효성분이 강화된 헛개나무 잎을 이용한 사업화를 통한 제품 생산 진행중
2nd rowLoRa 게이트웨이 사업화 성공으로 주식회사 코어텍으로 e-IoT 디바이스 납품
3rd row새만금 간척지 자원림 관리를 위한 미생물비료 판매 성공(서부지방산림청 정읍국유림관리소)
4th row통신을 이용한 데이터 모니터링 S/W 모듈 납품
5th row통신 및 관리시스템 구축
ValueCountFrequency (%)
lora 8
 
4.2%
게이트웨이 8
 
4.2%
7
 
3.7%
납품 6
 
3.1%
판매 5
 
2.6%
주식회사 5
 
2.6%
사업화 5
 
2.6%
e-iot 4
 
2.1%
성공으로 4
 
2.1%
제작 4
 
2.1%
Other values (113) 135
70.7%
2023-12-12T17:54:02.972872image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
169
 
20.0%
29
 
3.4%
17
 
2.0%
16
 
1.9%
15
 
1.8%
o 15
 
1.8%
12
 
1.4%
11
 
1.3%
a 11
 
1.3%
10
 
1.2%
Other values (185) 538
63.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 583
69.2%
Space Separator 169
 
20.0%
Lowercase Letter 42
 
5.0%
Uppercase Letter 35
 
4.2%
Other Punctuation 5
 
0.6%
Dash Punctuation 4
 
0.5%
Close Punctuation 2
 
0.2%
Open Punctuation 2
 
0.2%
Decimal Number 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
29
 
5.0%
17
 
2.9%
16
 
2.7%
15
 
2.6%
12
 
2.1%
11
 
1.9%
10
 
1.7%
10
 
1.7%
10
 
1.7%
10
 
1.7%
Other values (157) 443
76.0%
Lowercase Letter
ValueCountFrequency (%)
o 15
35.7%
a 11
26.2%
e 5
 
11.9%
n 3
 
7.1%
t 2
 
4.8%
m 1
 
2.4%
s 1
 
2.4%
g 1
 
2.4%
i 1
 
2.4%
p 1
 
2.4%
Uppercase Letter
ValueCountFrequency (%)
L 9
25.7%
R 8
22.9%
T 5
14.3%
I 5
14.3%
P 2
 
5.7%
W 2
 
5.7%
D 1
 
2.9%
C 1
 
2.9%
A 1
 
2.9%
S 1
 
2.9%
Other Punctuation
ValueCountFrequency (%)
, 4
80.0%
/ 1
 
20.0%
Space Separator
ValueCountFrequency (%)
169
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Decimal Number
ValueCountFrequency (%)
2 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 583
69.2%
Common 183
 
21.7%
Latin 77
 
9.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
29
 
5.0%
17
 
2.9%
16
 
2.7%
15
 
2.6%
12
 
2.1%
11
 
1.9%
10
 
1.7%
10
 
1.7%
10
 
1.7%
10
 
1.7%
Other values (157) 443
76.0%
Latin
ValueCountFrequency (%)
o 15
19.5%
a 11
14.3%
L 9
11.7%
R 8
10.4%
T 5
 
6.5%
e 5
 
6.5%
I 5
 
6.5%
n 3
 
3.9%
P 2
 
2.6%
t 2
 
2.6%
Other values (11) 12
15.6%
Common
ValueCountFrequency (%)
169
92.3%
, 4
 
2.2%
- 4
 
2.2%
) 2
 
1.1%
( 2
 
1.1%
2 1
 
0.5%
/ 1
 
0.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 583
69.2%
ASCII 260
30.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
169
65.0%
o 15
 
5.8%
a 11
 
4.2%
L 9
 
3.5%
R 8
 
3.1%
T 5
 
1.9%
e 5
 
1.9%
I 5
 
1.9%
, 4
 
1.5%
- 4
 
1.5%
Other values (18) 25
 
9.6%
Hangul
ValueCountFrequency (%)
29
 
5.0%
17
 
2.9%
16
 
2.7%
15
 
2.6%
12
 
2.1%
11
 
1.9%
10
 
1.7%
10
 
1.7%
10
 
1.7%
10
 
1.7%
Other values (157) 443
76.0%

고용창출인원수
Categorical

HIGH CORRELATION 

Distinct4
Distinct (%)16.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
0
19 
2
4
1
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)4.0%

Sample

1st row2
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 19
76.0%
2 3
 
12.0%
4 2
 
8.0%
1 1
 
4.0%

Length

2023-12-12T17:54:03.117026image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T17:54:03.239931image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 19
76.0%
2 3
 
12.0%
4 2
 
8.0%
1 1
 
4.0%
Distinct14
Distinct (%)56.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
2023-12-12T17:54:03.418484image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length14
Mean length8.12
Min length5

Characters and Unicode

Total characters203
Distinct characters57
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique11 ?
Unique (%)44.0%

Sample

1st row맑은산영농조합법인
2nd row주식회사 코어텍
3rd row(주)프르네
4th row주식회사 알씨엔
5th row전라남도 해양수산과학원
ValueCountFrequency (%)
주식회사 12
30.8%
엘시스 8
20.5%
주)푸르네 4
 
10.3%
주)수프로 2
 
5.1%
주)오상킨섹트 1
 
2.6%
에코다인 1
 
2.6%
보성파워텍 1
 
2.6%
한국인스팜(주 1
 
2.6%
기쁨농원 1
 
2.6%
농업회사법인 1
 
2.6%
Other values (7) 7
17.9%
2023-12-12T17:54:03.774724image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
22
 
10.8%
15
 
7.4%
15
 
7.4%
14
 
6.9%
13
 
6.4%
9
 
4.4%
( 9
 
4.4%
) 9
 
4.4%
8
 
3.9%
8
 
3.9%
Other values (47) 81
39.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 171
84.2%
Space Separator 14
 
6.9%
Open Punctuation 9
 
4.4%
Close Punctuation 9
 
4.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
22
 
12.9%
15
 
8.8%
15
 
8.8%
13
 
7.6%
9
 
5.3%
8
 
4.7%
8
 
4.7%
5
 
2.9%
5
 
2.9%
5
 
2.9%
Other values (44) 66
38.6%
Space Separator
ValueCountFrequency (%)
14
100.0%
Open Punctuation
ValueCountFrequency (%)
( 9
100.0%
Close Punctuation
ValueCountFrequency (%)
) 9
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 171
84.2%
Common 32
 
15.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
22
 
12.9%
15
 
8.8%
15
 
8.8%
13
 
7.6%
9
 
5.3%
8
 
4.7%
8
 
4.7%
5
 
2.9%
5
 
2.9%
5
 
2.9%
Other values (44) 66
38.6%
Common
ValueCountFrequency (%)
14
43.8%
( 9
28.1%
) 9
28.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 171
84.2%
ASCII 32
 
15.8%

Most frequent character per block

Hangul
ValueCountFrequency (%)
22
 
12.9%
15
 
8.8%
15
 
8.8%
13
 
7.6%
9
 
5.3%
8
 
4.7%
8
 
4.7%
5
 
2.9%
5
 
2.9%
5
 
2.9%
Other values (44) 66
38.6%
ASCII
ValueCountFrequency (%)
14
43.8%
( 9
28.1%
) 9
28.1%

사업화주체_대표자명
Categorical

HIGH CORRELATION 

Distinct12
Distinct (%)48.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
양*형
박*석
채*
김*희
리*수
Other values (7)

Length

Max length3
Median length3
Mean length2.92
Min length2

Unique

Unique8 ?
Unique (%)32.0%

Sample

1st row리*수
2nd row김*빈
3rd row박*석
4th row임*식
5th row최*수

Common Values

ValueCountFrequency (%)
양*형 8
32.0%
박*석 5
20.0%
채* 2
 
8.0%
김*희 2
 
8.0%
리*수 1
 
4.0%
김*빈 1
 
4.0%
임*식 1
 
4.0%
최*수 1
 
4.0%
이*석 1
 
4.0%
오*환 1
 
4.0%
Other values (2) 2
 
8.0%

Length

2023-12-12T17:54:03.947177image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
양*형 8
32.0%
박*석 5
20.0%
2
 
8.0%
김*희 2
 
8.0%
리*수 1
 
4.0%
김*빈 1
 
4.0%
임*식 1
 
4.0%
최*수 1
 
4.0%
이*석 1
 
4.0%
오*환 1
 
4.0%
Other values (2) 2
 
8.0%
Distinct21
Distinct (%)84.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
2023-12-12T17:54:04.209370image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length31
Median length15
Mean length10.48
Min length3

Characters and Unicode

Total characters262
Distinct characters117
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique18 ?
Unique (%)72.0%

Sample

1st row헛개이슈
2nd rowe-IoT 디바이스 외 납품
3rd row비료(미생물지킴이) 및 플러스
4th row데이터 모니터링 시스템
5th row어장 관리시스템
ValueCountFrequency (%)
e-iot 4
 
7.4%
게이트웨이 4
 
7.4%
lora 4
 
7.4%
플러스1000 2
 
3.7%
테이블소스류 2
 
3.7%
2
 
3.7%
빅데이터 1
 
1.9%
iot 1
 
1.9%
적용 1
 
1.9%
산소발생기 1
 
1.9%
Other values (32) 32
59.3%
2023-12-12T17:54:04.705843image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
29
 
11.1%
17
 
6.5%
o 11
 
4.2%
9
 
3.4%
a 7
 
2.7%
0 6
 
2.3%
- 6
 
2.3%
e 5
 
1.9%
T 5
 
1.9%
L 5
 
1.9%
Other values (107) 162
61.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 152
58.0%
Lowercase Letter 34
 
13.0%
Space Separator 29
 
11.1%
Uppercase Letter 29
 
11.1%
Decimal Number 10
 
3.8%
Dash Punctuation 6
 
2.3%
Close Punctuation 1
 
0.4%
Open Punctuation 1
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
17
 
11.2%
9
 
5.9%
4
 
2.6%
4
 
2.6%
4
 
2.6%
4
 
2.6%
3
 
2.0%
3
 
2.0%
3
 
2.0%
3
 
2.0%
Other values (77) 98
64.5%
Uppercase Letter
ValueCountFrequency (%)
T 5
17.2%
L 5
17.2%
I 5
17.2%
R 4
13.8%
P 2
 
6.9%
C 2
 
6.9%
W 1
 
3.4%
D 1
 
3.4%
A 1
 
3.4%
G 1
 
3.4%
Other values (2) 2
 
6.9%
Lowercase Letter
ValueCountFrequency (%)
o 11
32.4%
a 7
20.6%
e 5
14.7%
n 3
 
8.8%
t 2
 
5.9%
r 1
 
2.9%
i 1
 
2.9%
p 1
 
2.9%
m 1
 
2.9%
g 1
 
2.9%
Decimal Number
ValueCountFrequency (%)
0 6
60.0%
1 3
30.0%
2 1
 
10.0%
Space Separator
ValueCountFrequency (%)
29
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 6
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 152
58.0%
Latin 63
24.0%
Common 47
 
17.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
17
 
11.2%
9
 
5.9%
4
 
2.6%
4
 
2.6%
4
 
2.6%
4
 
2.6%
3
 
2.0%
3
 
2.0%
3
 
2.0%
3
 
2.0%
Other values (77) 98
64.5%
Latin
ValueCountFrequency (%)
o 11
17.5%
a 7
11.1%
e 5
 
7.9%
T 5
 
7.9%
L 5
 
7.9%
I 5
 
7.9%
R 4
 
6.3%
n 3
 
4.8%
t 2
 
3.2%
P 2
 
3.2%
Other values (13) 14
22.2%
Common
ValueCountFrequency (%)
29
61.7%
0 6
 
12.8%
- 6
 
12.8%
1 3
 
6.4%
) 1
 
2.1%
( 1
 
2.1%
2 1
 
2.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 152
58.0%
ASCII 110
42.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
29
26.4%
o 11
 
10.0%
a 7
 
6.4%
0 6
 
5.5%
- 6
 
5.5%
e 5
 
4.5%
T 5
 
4.5%
L 5
 
4.5%
I 5
 
4.5%
R 4
 
3.6%
Other values (20) 27
24.5%
Hangul
ValueCountFrequency (%)
17
 
11.2%
9
 
5.9%
4
 
2.6%
4
 
2.6%
4
 
2.6%
4
 
2.6%
3
 
2.0%
3
 
2.0%
3
 
2.0%
3
 
2.0%
Other values (77) 98
64.5%

Unnamed: 7
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing25
Missing (%)100.0%
Memory size357.0 B

Interactions

2023-12-12T17:54:00.768465image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T17:54:05.150462image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
사업화명사업화년도사업화내용고용창출인원수사업화주체_업체명사업화주체_대표자명제품명
사업화명1.0000.9171.0001.0000.9151.0001.000
사업화년도0.9171.0001.0000.4070.8380.7310.969
사업화내용1.0001.0001.0001.0001.0001.0001.000
고용창출인원수1.0000.4071.0001.0000.9620.9951.000
사업화주체_업체명0.9150.8381.0000.9621.0001.0000.975
사업화주체_대표자명1.0000.7311.0000.9951.0001.0001.000
제품명1.0000.9691.0001.0000.9751.0001.000
2023-12-12T17:54:05.266620image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
고용창출인원수사업화주체_대표자명
고용창출인원수1.0000.708
사업화주체_대표자명0.7081.000
2023-12-12T17:54:05.358456image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
사업화년도고용창출인원수사업화주체_대표자명
사업화년도1.0000.4550.354
고용창출인원수0.4551.0000.708
사업화주체_대표자명0.3540.7081.000

Missing values

2023-12-12T17:54:00.904608image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T17:54:01.083229image/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

사업화명사업화년도사업화내용고용창출인원수사업화주체_업체명사업화주체_대표자명제품명Unnamed: 7
0헛개나무 잎의 사업화를 위한 임업기술 및 식품개발2020유효성분이 강화된 헛개나무 잎을 이용한 사업화를 통한 제품 생산 진행중2맑은산영농조합법인리*수헛개이슈<NA>
1e-IoT 디바이스 외 납품2018LoRa 게이트웨이 사업화 성공으로 주식회사 코어텍으로 e-IoT 디바이스 납품0주식회사 코어텍김*빈e-IoT 디바이스 외 납품<NA>
2새만금 간척지 자원림 관리를 위한 미생물비료 판매2016새만금 간척지 자원림 관리를 위한 미생물비료 판매 성공(서부지방산림청 정읍국유림관리소)0(주)프르네박*석비료(미생물지킴이) 및 플러스<NA>
3데이터 모니터링 시스템2018통신을 이용한 데이터 모니터링 S/W 모듈 납품0주식회사 알씨엔임*식데이터 모니터링 시스템<NA>
4어장 관리시스템2018통신 및 관리시스템 구축0전라남도 해양수산과학원최*수어장 관리시스템<NA>
5상품화2018상품화0(주)오상킨섹트이*석곤충전시챔버<NA>
6컨테이너 조경수 판매(파주)2020평화의숲 조성사업에 컨테이너 조경수 납품0(주)수프로채*이팝나무외<NA>
7동남아시아 및 국내시장 소스관련제품2020본 사업과 관련된 동남아시아 시장 진출용 채식소스 및 테이블 소스류 상품, 표고분말제품 등4농업회사법인 주식회사 기쁨농원김*희테이블소스류<NA>
8친환경 미생물제제 판매2018친환경 미생물제제 판매0(주)푸르네박*석플러스1000<NA>
9친환경 미생물제제 판매2019친환경 미생물제제 판매 성공0(주)푸르네박*석플러스1000<NA>
사업화명사업화년도사업화내용고용창출인원수사업화주체_업체명사업화주체_대표자명제품명Unnamed: 7
15e-IoT LoRa 게이트웨이_주식회사 유티소프트2017LoRa 게이트웨이 사업화 성공으로 주식회사 유티소프트로 e-IoT LoRa 게이트웨이 납품0주식회사 엘시스양*형e-IoT LoRa 게이트웨이<NA>
16새만금 간척지 바이오에너지림 유충 방제를 위한 미생물비료 판매2017새만금 간척지 바이오에너지림(이태리 포플러)에 발생한 유충 방제를 위한 미생물비료 판매 및 효과 입증2(주)푸르네박*석푸르네-1<NA>
17산림기반 정책감축사업 활성화2019본 연구개발성과로 도출된 산림부문 정책감축사업 모델을 활용하여, 산림탄소상쇄사업 등록 및 관리에 대한 컨설팅 서비스를 제공하기 위하여, 연구책임자에 의한 직접창업 에코다인 주식회사 설립을 추진하였음2에코다인 주식회사장*민상쇄사업 컨설팅 서비스<NA>
18IoT 적용 산소발생기 프로그램 개발2019IoT 적용 산소발생기 프로그램 개발0주식회사 엘시스양*형IoT 적용 산소발생기 프로그램<NA>
19LPWA 다채널 게이트웨이 제작 기법2019LPWA 다채널 게이트웨이 제작 기법0주식회사 엘시스양*형LPWA 다채널 게이트웨이<NA>
20빅데이터 분석용 Data Parsing Component2019빅데이터 분석용 Data Parsing Component0주식회사 엘시스양*형빅데이터 분석용 Data Parsing Component<NA>
21기상데이터 수집장치 제작2019기상데이터 수집장치 제작0주식회사 엘시스양*형기상데이터 수집장치<NA>
22LoRa 통신모듈2019LoRa 통신모듈 상품화 및 사업화0주식회사 엘시스양*형LoRa 통신모듈<NA>
23컨테이너조경수 판매2020경기도 하남시 미사강변2차푸르지오아파트 컨테이너조경수 판매0(주)수프로채*에메랄드그린 외<NA>
24동남아시아 및 국내시장 소스관련제품2010본 사업과 관련된 동남아시아 시장 진출용 채식소스 및 테이블 소스류 상품, 표고분말제품 등4농업회사법인주식회사기쁨농원김*희테이블소스류<NA>