Overview

Dataset statistics

Number of variables5
Number of observations42
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.8 KiB
Average record size in memory44.0 B

Variable types

Categorical3
Text2

Dataset

Description농림식품 관련 RnD 혁신제품 지정 정보. 혁신제품 지정 연도, 업체명, 혁신명, 지정기간 시작일, 지정기간 종료일 등으로 구성
Author농림식품기술기획평가원
URLhttps://www.data.go.kr/data/15126300/fileData.do

Alerts

연도 is highly overall correlated with 지정 기간 시작일 and 1 other fieldsHigh correlation
지정 기간 시작일 is highly overall correlated with 연도 and 1 other fieldsHigh correlation
지정 기간 종료일 is highly overall correlated with 연도 and 1 other fieldsHigh correlation
혁신명 has unique valuesUnique

Reproduction

Analysis started2024-03-14 18:56:37.923435
Analysis finished2024-03-14 18:56:38.898908
Duration0.98 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연도
Categorical

HIGH CORRELATION 

Distinct4
Distinct (%)9.5%
Missing0
Missing (%)0.0%
Memory size464.0 B
2022
20 
2021
13 
2023
2020

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2020
2nd row2020
3rd row2020
4th row2021
5th row2021

Common Values

ValueCountFrequency (%)
2022 20
47.6%
2021 13
31.0%
2023 6
 
14.3%
2020 3
 
7.1%

Length

2024-03-15T03:56:39.147900image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T03:56:39.514809image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2022 20
47.6%
2021 13
31.0%
2023 6
 
14.3%
2020 3
 
7.1%
Distinct40
Distinct (%)95.2%
Missing0
Missing (%)0.0%
Memory size464.0 B
2024-03-15T03:56:40.165425image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length11
Mean length7.3809524
Min length4

Characters and Unicode

Total characters310
Distinct characters105
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique38 ?
Unique (%)90.5%

Sample

1st row㈜스마트지오텍
2nd row㈜퓨어스페이스
3rd row㈜가이아
4th row세진이앤피 주식회사
5th row수생태복원㈜/한국농어촌공사
ValueCountFrequency (%)
주식회사 15
25.9%
성부산업 2
 
3.4%
㈜수프로 2
 
3.4%
보란파마 1
 
1.7%
팜프로 1
 
1.7%
그린씨에스㈜ 1
 
1.7%
㈜스마트지오텍 1
 
1.7%
모든솔라 1
 
1.7%
한국축산데이터 1
 
1.7%
㈜더파워브레인스 1
 
1.7%
Other values (32) 32
55.2%
2024-03-15T03:56:41.345085image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
20
 
6.5%
18
 
5.8%
17
 
5.5%
16
 
5.2%
16
 
5.2%
16
 
5.2%
16
 
5.2%
11
 
3.5%
10
 
3.2%
6
 
1.9%
Other values (95) 164
52.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 273
88.1%
Other Symbol 20
 
6.5%
Space Separator 16
 
5.2%
Other Punctuation 1
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
18
 
6.6%
17
 
6.2%
16
 
5.9%
16
 
5.9%
16
 
5.9%
11
 
4.0%
10
 
3.7%
6
 
2.2%
5
 
1.8%
5
 
1.8%
Other values (92) 153
56.0%
Other Symbol
ValueCountFrequency (%)
20
100.0%
Space Separator
ValueCountFrequency (%)
16
100.0%
Other Punctuation
ValueCountFrequency (%)
/ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 293
94.5%
Common 17
 
5.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
20
 
6.8%
18
 
6.1%
17
 
5.8%
16
 
5.5%
16
 
5.5%
16
 
5.5%
11
 
3.8%
10
 
3.4%
6
 
2.0%
5
 
1.7%
Other values (93) 158
53.9%
Common
ValueCountFrequency (%)
16
94.1%
/ 1
 
5.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 273
88.1%
None 20
 
6.5%
ASCII 17
 
5.5%

Most frequent character per block

None
ValueCountFrequency (%)
20
100.0%
Hangul
ValueCountFrequency (%)
18
 
6.6%
17
 
6.2%
16
 
5.9%
16
 
5.9%
16
 
5.9%
11
 
4.0%
10
 
3.7%
6
 
2.2%
5
 
1.8%
5
 
1.8%
Other values (92) 153
56.0%
ASCII
ValueCountFrequency (%)
16
94.1%
/ 1
 
5.9%

혁신명
Text

UNIQUE 

Distinct42
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size464.0 B
2024-03-15T03:56:42.493472image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length63
Median length40
Mean length28.547619
Min length10

Characters and Unicode

Total characters1199
Distinct characters312
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique42 ?
Unique (%)100.0%

Sample

1st row산사태 방지 스마트 붕괴 경보 시스템
2nd row농작물 신선도 유지 장치
3rd row스마트 음식물 쓰레기 건조 처리기
4th row미생물 발호로 인한 변질을 억제하여 내용물의 신선도를 유지시키는 신선도 유지제
5th row막힘 현상 없이 반영구적으로 사용가능한 친환경 수질정화용 바이오스톤볼 담체
ValueCountFrequency (%)
가능한 6
 
2.2%
5
 
1.8%
시스템 4
 
1.4%
기반 4
 
1.4%
스마트 3
 
1.1%
신선도 3
 
1.1%
친환경 3
 
1.1%
장치 3
 
1.1%
전동 2
 
0.7%
iot 2
 
0.7%
Other values (232) 243
87.4%
2024-03-15T03:56:44.261758image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
238
 
19.8%
23
 
1.9%
22
 
1.8%
16
 
1.3%
15
 
1.3%
15
 
1.3%
14
 
1.2%
14
 
1.2%
13
 
1.1%
13
 
1.1%
Other values (302) 816
68.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 865
72.1%
Space Separator 238
 
19.8%
Uppercase Letter 28
 
2.3%
Lowercase Letter 26
 
2.2%
Other Punctuation 14
 
1.2%
Open Punctuation 9
 
0.8%
Close Punctuation 9
 
0.8%
Decimal Number 7
 
0.6%
Dash Punctuation 3
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
23
 
2.7%
22
 
2.5%
16
 
1.8%
15
 
1.7%
15
 
1.7%
14
 
1.6%
14
 
1.6%
13
 
1.5%
13
 
1.5%
13
 
1.5%
Other values (261) 707
81.7%
Uppercase Letter
ValueCountFrequency (%)
I 4
14.3%
T 4
14.3%
A 3
10.7%
R 2
 
7.1%
M 2
 
7.1%
E 2
 
7.1%
P 2
 
7.1%
O 2
 
7.1%
C 1
 
3.6%
F 1
 
3.6%
Other values (5) 5
17.9%
Lowercase Letter
ValueCountFrequency (%)
e 4
15.4%
i 3
11.5%
m 3
11.5%
o 2
 
7.7%
v 2
 
7.7%
n 2
 
7.7%
l 2
 
7.7%
t 1
 
3.8%
a 1
 
3.8%
r 1
 
3.8%
Other values (5) 5
19.2%
Other Punctuation
ValueCountFrequency (%)
, 10
71.4%
/ 2
 
14.3%
· 1
 
7.1%
. 1
 
7.1%
Decimal Number
ValueCountFrequency (%)
0 3
42.9%
2 3
42.9%
1 1
 
14.3%
Space Separator
ValueCountFrequency (%)
238
100.0%
Open Punctuation
ValueCountFrequency (%)
( 9
100.0%
Close Punctuation
ValueCountFrequency (%)
) 9
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 865
72.1%
Common 280
 
23.4%
Latin 54
 
4.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
23
 
2.7%
22
 
2.5%
16
 
1.8%
15
 
1.7%
15
 
1.7%
14
 
1.6%
14
 
1.6%
13
 
1.5%
13
 
1.5%
13
 
1.5%
Other values (261) 707
81.7%
Latin
ValueCountFrequency (%)
I 4
 
7.4%
e 4
 
7.4%
T 4
 
7.4%
A 3
 
5.6%
i 3
 
5.6%
m 3
 
5.6%
R 2
 
3.7%
M 2
 
3.7%
o 2
 
3.7%
E 2
 
3.7%
Other values (20) 25
46.3%
Common
ValueCountFrequency (%)
238
85.0%
, 10
 
3.6%
( 9
 
3.2%
) 9
 
3.2%
- 3
 
1.1%
0 3
 
1.1%
2 3
 
1.1%
/ 2
 
0.7%
· 1
 
0.4%
1 1
 
0.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 865
72.1%
ASCII 333
 
27.8%
None 1
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
238
71.5%
, 10
 
3.0%
( 9
 
2.7%
) 9
 
2.7%
I 4
 
1.2%
e 4
 
1.2%
T 4
 
1.2%
- 3
 
0.9%
0 3
 
0.9%
A 3
 
0.9%
Other values (30) 46
 
13.8%
Hangul
ValueCountFrequency (%)
23
 
2.7%
22
 
2.5%
16
 
1.8%
15
 
1.7%
15
 
1.7%
14
 
1.6%
14
 
1.6%
13
 
1.5%
13
 
1.5%
13
 
1.5%
Other values (261) 707
81.7%
None
ValueCountFrequency (%)
· 1
100.0%

지정 기간 시작일
Categorical

HIGH CORRELATION 

Distinct9
Distinct (%)21.4%
Missing0
Missing (%)0.0%
Memory size464.0 B
2022-03-25
2022-09-27
2023-07-31
2021-06-01
2022-12-26
Other values (4)
14 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2020-10-29
2nd row2020-10-29
3rd row2020-10-29
4th row2021-06-01
5th row2021-06-01

Common Values

ValueCountFrequency (%)
2022-03-25 6
14.3%
2022-09-27 6
14.3%
2023-07-31 6
14.3%
2021-06-01 5
11.9%
2022-12-26 5
11.9%
2021-09-24 4
9.5%
2021-12-24 4
9.5%
2020-10-29 3
7.1%
2022-06-29 3
7.1%

Length

2024-03-15T03:56:44.549783image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T03:56:44.763980image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2022-03-25 6
14.3%
2022-09-27 6
14.3%
2023-07-31 6
14.3%
2021-06-01 5
11.9%
2022-12-26 5
11.9%
2021-09-24 4
9.5%
2021-12-24 4
9.5%
2020-10-29 3
7.1%
2022-06-29 3
7.1%

지정 기간 종료일
Categorical

HIGH CORRELATION 

Distinct9
Distinct (%)21.4%
Missing0
Missing (%)0.0%
Memory size464.0 B
2025-03-24
2025-09-26
2026-07-30
2024-05-31
2025-12-25
Other values (4)
14 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023-10-28
2nd row2023-10-28
3rd row2023-10-28
4th row2024-05-31
5th row2024-05-31

Common Values

ValueCountFrequency (%)
2025-03-24 6
14.3%
2025-09-26 6
14.3%
2026-07-30 6
14.3%
2024-05-31 5
11.9%
2025-12-25 5
11.9%
2024-09-23 4
9.5%
2024-12-23 4
9.5%
2023-10-28 3
7.1%
2025-06-28 3
7.1%

Length

2024-03-15T03:56:45.096556image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T03:56:45.364896image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2025-03-24 6
14.3%
2025-09-26 6
14.3%
2026-07-30 6
14.3%
2024-05-31 5
11.9%
2025-12-25 5
11.9%
2024-09-23 4
9.5%
2024-12-23 4
9.5%
2023-10-28 3
7.1%
2025-06-28 3
7.1%

Correlations

2024-03-15T03:56:45.601641image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연도업체명혁신명지정 기간 시작일지정 기간 종료일
연도1.0000.9781.0001.0001.000
업체명0.9781.0001.0000.9650.965
혁신명1.0001.0001.0001.0001.000
지정 기간 시작일1.0000.9651.0001.0001.000
지정 기간 종료일1.0000.9651.0001.0001.000
2024-03-15T03:56:45.772619image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연도지정 기간 시작일지정 기간 종료일
연도1.0000.9320.932
지정 기간 시작일0.9321.0001.000
지정 기간 종료일0.9321.0001.000
2024-03-15T03:56:45.924550image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연도지정 기간 시작일지정 기간 종료일
연도1.0000.9320.932
지정 기간 시작일0.9321.0001.000
지정 기간 종료일0.9321.0001.000

Missing values

2024-03-15T03:56:38.450608image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-15T03:56:38.770140image/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

연도업체명혁신명지정 기간 시작일지정 기간 종료일
02020㈜스마트지오텍산사태 방지 스마트 붕괴 경보 시스템2020-10-292023-10-28
12020㈜퓨어스페이스농작물 신선도 유지 장치2020-10-292023-10-28
22020㈜가이아스마트 음식물 쓰레기 건조 처리기2020-10-292023-10-28
32021세진이앤피 주식회사미생물 발호로 인한 변질을 억제하여 내용물의 신선도를 유지시키는 신선도 유지제2021-06-012024-05-31
42021수생태복원㈜/한국농어촌공사막힘 현상 없이 반영구적으로 사용가능한 친환경 수질정화용 바이오스톤볼 담체2021-06-012024-05-31
52021㈜수프로건축물 벽면에 토양과 같은 식물 생장이 가능한 도심 녹지공간 확보 제품2021-06-012024-05-31
62021㈜수프로뿌리발달이 우수한 컨테이너 조경수2021-06-012024-05-31
72021주식회사 엔퓨텍거점소독시설에서 2분 이내의 짧은 시간에 소독효능을 높일 수 있는 새로운 기술력2021-06-012024-05-31
82021㈜지디티결합잔류 염소 제어 및 수인성 병원균 살균 All-in-One System2021-09-242024-09-23
92021주식회사 이도하천의 홍수 및 가뭄재해 저감 등 다목적 이/치수 기능이 가능한 공압식 가동보2021-09-242024-09-23
연도업체명혁신명지정 기간 시작일지정 기간 종료일
322022㈜블루비에스전기촉매 복합여과 담수화 장치2022-12-262025-12-25
332022㈜이레아이에스배지함수율 측정장치(알엠팜)2022-12-262025-12-25
342022인플랩 주식회사가축질병 예방·대응역량 강화를 위한 시리어스게임 팜데믹(Farmdemic) v1.02022-12-262025-12-25
352022주식회사 푸르고팜순수 전기분해 이산화염소 발생 기술이 적용된 농산물 신선도 유지장치2022-12-262025-12-25
362023농업회사법인 ㈜와이앤바이오축산 악취 저감 보조사료(악취싹)2023-07-312026-07-30
372023보란파마잔디의 주요 식물병 방제용 미생물제제2023-07-312026-07-30
382023㈜마이웰에프앤에프열용융압출 기술을 적용한 자돈 설사예방 및 분뇨 부숙도 개선용 사료 첨가제(징크솔)2023-07-312026-07-30
392023주식회사 진시스템낭충봉아부패병 실시간 유전자진단키트2023-07-312026-07-30
402023㈜대성미생물연구소근육주사, 경구 투여가 가능한 돼지 유행성설사병 바이러스 예방 생백신(G2b)(대성 PED-Q Lvie 피그백주)2023-07-312026-07-30
412023주식회사 나눔바이오아로니아 농축액과 아로니아 발효식초로 만든 발효 음료2023-07-312026-07-30