Overview

Dataset statistics

Number of variables9
Number of observations21
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.6 KiB
Average record size in memory79.3 B

Variable types

Categorical6
Text2
Numeric1

Dataset

Description제주특별자치도에서 제공하는 산학협력정보를 제공합니다.- 제주대학교 등 학계와 산업계 관련 정보, 기술개발 지원사업 정보 등
Author제주특별자치도
URLhttps://www.data.go.kr/data/15010591/fileData.do

Alerts

데이터기준일자 has constant value ""Constant
구분 is highly overall correlated with 도비지원액(천원) and 2 other fieldsHigh correlation
사업시작일 is highly overall correlated with 도비지원액(천원) and 3 other fieldsHigh correlation
사업종료일 is highly overall correlated with 도비지원액(천원) and 3 other fieldsHigh correlation
도비지원액(천원) is highly overall correlated with 구분 and 3 other fieldsHigh correlation
진행상태 is highly overall correlated with 도비지원액(천원) and 2 other fieldsHigh correlation
공동개발기관 is highly imbalanced (54.4%)Imbalance

Reproduction

Analysis started2024-01-14 13:48:53.244090
Analysis finished2024-01-14 13:48:54.052242
Duration0.81 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

구분
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)9.5%
Missing0
Missing (%)0.0%
Memory size300.0 B
첫걸음과제
11 
지역유망과제
10 

Length

Max length6
Median length5
Mean length5.4761905
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
첫걸음과제 11
52.4%
지역유망과제 10
47.6%

Length

2024-01-14T22:48:54.128715image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-14T22:48:54.237107image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
첫걸음과제 11
52.4%
지역유망과제 10
47.6%

진행상태
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)9.5%
Missing0
Missing (%)0.0%
Memory size300.0 B
계속과제
18 
신규과제
3 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
계속과제 18
85.7%
신규과제 3
 
14.3%

Length

2024-01-14T22:48:54.353062image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-14T22:48:54.505375image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
계속과제 18
85.7%
신규과제 3
 
14.3%

과제명
Text

Distinct18
Distinct (%)85.7%
Missing0
Missing (%)0.0%
Memory size300.0 B
2024-01-14T22:48:54.748463image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length47
Median length34
Mean length30.619048
Min length11

Characters and Unicode

Total characters643
Distinct characters183
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique15 ?
Unique (%)71.4%

Sample

1st row제주 레몬과 고삼에서 손상모발에 유용한 천연소재 및 헤어케어 제품 개발(기업부설)
2nd row제주산 비트 추출물의 유산균 발효를 통한 프리미엄 향장제품의 개발
3rd row풍력발전기 점검용 드론을 위한 상시 공급 전원장치 개발
4th row스마트모터기동반 개발
5th rowVTOL(수직이착륙기)개발 및 활용방안
ValueCountFrequency (%)
개발 12
 
8.1%
및 7
 
4.7%
기반 4
 
2.7%
시스템 4
 
2.7%
전력 4
 
2.7%
위한 4
 
2.7%
이용한 4
 
2.7%
지능형 3
 
2.0%
반려동물 2
 
1.4%
통한 2
 
1.4%
Other values (88) 102
68.9%
2024-01-14T22:48:55.184299image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
127
 
19.8%
발 21
 
3.3%
기 18
 
2.8%
개 16
 
2.5%
용 14
 
2.2%
한 13
 
2.0%
스 12
 
1.9%
제 11
 
1.7%
전 11
 
1.7%
력 8
 
1.2%
Other values (173) 392
61.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 470
73.1%
Space Separator 127
 
19.8%
Lowercase Letter 18
 
2.8%
Uppercase Letter 18
 
2.8%
Open Punctuation 4
 
0.6%
Close Punctuation 4
 
0.6%
Dash Punctuation 2
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
발 21
 
4.5%
기 18
 
3.8%
개 16
 
3.4%
용 14
 
3.0%
한 13
 
2.8%
스 12
 
2.6%
제 11
 
2.3%
전 11
 
2.3%
력 8
 
1.7%
을 8
 
1.7%
Other values (150) 338
71.9%
Uppercase Letter
ValueCountFrequency (%)
T 4
22.2%
I 3
16.7%
L 2
11.1%
A 2
11.1%
H 2
11.1%
R 1
 
5.6%
O 1
 
5.6%
V 1
 
5.6%
S 1
 
5.6%
C 1
 
5.6%
Lowercase Letter
ValueCountFrequency (%)
o 5
27.8%
d 3
16.7%
c 2
 
11.1%
r 2
 
11.1%
e 2
 
11.1%
a 1
 
5.6%
v 1
 
5.6%
u 1
 
5.6%
l 1
 
5.6%
Space Separator
ValueCountFrequency (%)
127
100.0%
Open Punctuation
ValueCountFrequency (%)
( 4
100.0%
Close Punctuation
ValueCountFrequency (%)
) 4
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 470
73.1%
Common 137
 
21.3%
Latin 36
 
5.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
발 21
 
4.5%
기 18
 
3.8%
개 16
 
3.4%
용 14
 
3.0%
한 13
 
2.8%
스 12
 
2.6%
제 11
 
2.3%
전 11
 
2.3%
력 8
 
1.7%
을 8
 
1.7%
Other values (150) 338
71.9%
Latin
ValueCountFrequency (%)
o 5
13.9%
T 4
11.1%
d 3
 
8.3%
I 3
 
8.3%
L 2
 
5.6%
A 2
 
5.6%
c 2
 
5.6%
H 2
 
5.6%
r 2
 
5.6%
e 2
 
5.6%
Other values (9) 9
25.0%
Common
ValueCountFrequency (%)
127
92.7%
( 4
 
2.9%
) 4
 
2.9%
- 2
 
1.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 470
73.1%
ASCII 173
 
26.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
127
73.4%
o 5
 
2.9%
T 4
 
2.3%
( 4
 
2.3%
) 4
 
2.3%
d 3
 
1.7%
I 3
 
1.7%
L 2
 
1.2%
A 2
 
1.2%
c 2
 
1.2%
Other values (13) 17
 
9.8%
Hangul
ValueCountFrequency (%)
발 21
 
4.5%
기 18
 
3.8%
개 16
 
3.4%
용 14
 
3.0%
한 13
 
2.8%
스 12
 
2.6%
제 11
 
2.3%
전 11
 
2.3%
력 8
 
1.7%
을 8
 
1.7%
Other values (150) 338
71.9%

업체명
Text

Distinct19
Distinct (%)90.5%
Missing0
Missing (%)0.0%
Memory size300.0 B
2024-01-14T22:48:55.467226image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length11
Mean length7
Min length2

Characters and Unicode

Total characters147
Distinct characters63
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique17 ?
Unique (%)81.0%

Sample

1st row씨앤케이바이오
2nd row(주)제이메디슨 제주지점
3rd row윈디텍
4th row대한시스템
5th row제주도드론
ValueCountFrequency (%)
주식회사 3
 
10.7%
㈜ 3
 
10.7%
㈜글로비트 2
 
7.1%
숨비 2
 
7.1%
대한축산유통 1
 
3.6%
씨앤케이바이오 1
 
3.6%
주)타디스테크놀로지 1
 
3.6%
주)비케이바이오 1
 
3.6%
헬리오스 1
 
3.6%
주)지엘인터내셔날 1
 
3.6%
Other values (12) 12
42.9%
2024-01-14T22:48:56.609877image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 11
 
7.5%
이 9
 
6.1%
지 7
 
4.8%
7
 
4.8%
㈜ 6
 
4.1%
) 5
 
3.4%
비 5
 
3.4%
오 4
 
2.7%
제 4
 
2.7%
스 4
 
2.7%
Other values (53) 85
57.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 125
85.0%
Space Separator 7
 
4.8%
Other Symbol 6
 
4.1%
Close Punctuation 5
 
3.4%
Open Punctuation 4
 
2.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 11
 
8.8%
이 9
 
7.2%
지 7
 
5.6%
비 5
 
4.0%
오 4
 
3.2%
제 4
 
3.2%
스 4
 
3.2%
회 3
 
2.4%
로 3
 
2.4%
바 3
 
2.4%
Other values (49) 72
57.6%
Space Separator
ValueCountFrequency (%)
7
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 6
100.0%
Close Punctuation
ValueCountFrequency (%)
) 5
100.0%
Open Punctuation
ValueCountFrequency (%)
( 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 131
89.1%
Common 16
 
10.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 11
 
8.4%
이 9
 
6.9%
지 7
 
5.3%
㈜ 6
 
4.6%
비 5
 
3.8%
오 4
 
3.1%
제 4
 
3.1%
스 4
 
3.1%
회 3
 
2.3%
로 3
 
2.3%
Other values (50) 75
57.3%
Common
ValueCountFrequency (%)
7
43.8%
) 5
31.2%
( 4
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 125
85.0%
ASCII 16
 
10.9%
None 6
 
4.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 11
 
8.8%
이 9
 
7.2%
지 7
 
5.6%
비 5
 
4.0%
오 4
 
3.2%
제 4
 
3.2%
스 4
 
3.2%
회 3
 
2.4%
로 3
 
2.4%
바 3
 
2.4%
Other values (49) 72
57.6%
ASCII
ValueCountFrequency (%)
7
43.8%
) 5
31.2%
( 4
25.0%
None
ValueCountFrequency (%)
㈜ 6
100.0%

공동개발기관
Categorical

IMBALANCE 

Distinct3
Distinct (%)14.3%
Missing0
Missing (%)0.0%
Memory size300.0 B
제주대
18 
제주한라대
2 
한국폴리텍Ⅰ대학제주캠퍼스
 
1

Length

Max length13
Median length3
Mean length3.6666667
Min length3

Unique

Unique1 ?
Unique (%)4.8%

Sample

1st row제주대
2nd row제주대
3rd row제주대
4th row제주대
5th row한국폴리텍Ⅰ대학제주캠퍼스

Common Values

ValueCountFrequency (%)
제주대 18
85.7%
제주한라대 2
 
9.5%
한국폴리텍Ⅰ대학제주캠퍼스 1
 
4.8%

Length

2024-01-14T22:48:57.002987image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-14T22:48:57.179910image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
제주대 18
85.7%
제주한라대 2
 
9.5%
한국폴리텍ⅰ대학제주캠퍼스 1
 
4.8%

사업시작일
Categorical

HIGH CORRELATION 

Distinct3
Distinct (%)14.3%
Missing0
Missing (%)0.0%
Memory size300.0 B
2018-12-01
11 
2018-06-01
6 
2017-06-01
4 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2018-12-01
2nd row2018-12-01
3rd row2018-12-01
4th row2018-12-01
5th row2018-12-01

Common Values

ValueCountFrequency (%)
2018-12-01 11
52.4%
2018-06-01 6
28.6%
2017-06-01 4
 
19.0%

Length

2024-01-14T22:48:57.374709image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-14T22:48:57.550859image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2018-12-01 11
52.4%
2018-06-01 6
28.6%
2017-06-01 4
 
19.0%

사업종료일
Categorical

HIGH CORRELATION 

Distinct3
Distinct (%)14.3%
Missing0
Missing (%)0.0%
Memory size300.0 B
2019-11-30
11 
2020-05-31
6 
2019-05-31
4 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2019-11-30
2nd row2019-11-30
3rd row2019-11-30
4th row2019-11-30
5th row2019-11-30

Common Values

ValueCountFrequency (%)
2019-11-30 11
52.4%
2020-05-31 6
28.6%
2019-05-31 4
 
19.0%

Length

2024-01-14T22:48:57.699105image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-14T22:48:57.815066image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2019-11-30 11
52.4%
2020-05-31 6
28.6%
2019-05-31 4
 
19.0%

도비지원액(천원)
Real number (ℝ)

HIGH CORRELATION 

Distinct13
Distinct (%)61.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20170.952
Minimum11979
Maximum48352
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size321.0 B
2024-01-14T22:48:57.968306image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum11979
5-th percentile12088
Q115417
median16594
Q316625
95-th percentile48352
Maximum48352
Range36373
Interquartile range (IQR)1208

Descriptive statistics

Standard deviation11846.816
Coefficient of variation (CV)0.58732061
Kurtosis2.9121791
Mean20170.952
Median Absolute Deviation (MAD)344
Skewness2.1070344
Sum423590
Variance1.4034705 × 108
MonotonicityNot monotonic
2024-01-14T22:48:58.149322image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
16625 5
23.8%
16250 3
14.3%
48352 2
 
9.5%
12088 2
 
9.5%
14708 1
 
4.8%
16512 1
 
4.8%
16666 1
 
4.8%
47917 1
 
4.8%
17500 1
 
4.8%
16594 1
 
4.8%
Other values (3) 3
14.3%
ValueCountFrequency (%)
11979 1
 
4.8%
12088 2
 
9.5%
13542 1
 
4.8%
14708 1
 
4.8%
15417 1
 
4.8%
16250 3
14.3%
16512 1
 
4.8%
16594 1
 
4.8%
16625 5
23.8%
16666 1
 
4.8%
ValueCountFrequency (%)
48352 2
 
9.5%
47917 1
 
4.8%
17500 1
 
4.8%
16666 1
 
4.8%
16625 5
23.8%
16594 1
 
4.8%
16512 1
 
4.8%
16250 3
14.3%
15417 1
 
4.8%
14708 1
 
4.8%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)4.8%
Missing0
Missing (%)0.0%
Memory size300.0 B
2020-06-30
21 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2020-06-30
2nd row2020-06-30
3rd row2020-06-30
4th row2020-06-30
5th row2020-06-30

Common Values

ValueCountFrequency (%)
2020-06-30 21
100.0%

Length

2024-01-14T22:48:58.296717image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-14T22:48:58.435708image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2020-06-30 21
100.0%

Interactions

2024-01-14T22:48:53.702954image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-01-14T22:48:58.573162image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
구분진행상태과제명업체명공동개발기관사업시작일사업종료일도비지원액(천원)
구분1.0000.3071.0001.0000.1511.0001.0000.428
진행상태0.3071.0000.0000.0000.0870.3760.3761.000
과제명1.0000.0001.0001.0001.0001.0001.0000.000
업체명1.0000.0001.0001.0001.0001.0001.0000.000
공동개발기관0.1510.0871.0001.0001.0000.5640.5640.718
사업시작일1.0000.3761.0001.0000.5641.0001.0000.884
사업종료일1.0000.3761.0001.0000.5641.0001.0000.884
도비지원액(천원)0.4281.0000.0000.0000.7180.8840.8841.000
2024-01-14T22:48:58.729741image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
구분사업시작일공동개발기관사업종료일진행상태
구분1.0000.9730.2330.9730.193
사업시작일0.9731.0000.2351.0000.577
공동개발기관0.2330.2351.0000.2350.122
사업종료일0.9731.0000.2351.0000.577
진행상태0.1930.5770.1220.5771.000
2024-01-14T22:48:58.904994image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
도비지원액(천원)구분진행상태공동개발기관사업시작일사업종료일
도비지원액(천원)1.0000.6670.9730.2420.5640.564
구분0.6671.0000.1930.2330.9730.973
진행상태0.9730.1931.0000.1220.5770.577
공동개발기관0.2420.2330.1221.0000.2350.235
사업시작일0.5640.9730.5770.2351.0001.000
사업종료일0.5640.9730.5770.2351.0001.000

Missing values

2024-01-14T22:48:53.840912image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-01-14T22:48:53.997510image/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

구분진행상태과제명업체명공동개발기관사업시작일사업종료일도비지원액(천원)데이터기준일자
0첫걸음과제계속과제제주 레몬과 고삼에서 손상모발에 유용한 천연소재 및 헤어케어 제품 개발(기업부설)씨앤케이바이오제주대2018-12-012019-11-30162502020-06-30
1첫걸음과제계속과제제주산 비트 추출물의 유산균 발효를 통한 프리미엄 향장제품의 개발(주)제이메디슨 제주지점제주대2018-12-012019-11-30166252020-06-30
2첫걸음과제계속과제풍력발전기 점검용 드론을 위한 상시 공급 전원장치 개발윈디텍제주대2018-12-012019-11-30166252020-06-30
3첫걸음과제계속과제스마트모터기동반 개발대한시스템제주대2018-12-012019-11-30166252020-06-30
4첫걸음과제계속과제VTOL(수직이착륙기)개발 및 활용방안제주도드론한국폴리텍Ⅰ대학제주캠퍼스2018-12-012019-11-30147082020-06-30
5첫걸음과제계속과제LoRa 기반 스마트 도어락 플랫폼(기업부설)주식회사 제주청년피앤씨제주대2018-12-012019-11-30166252020-06-30
6첫걸음과제계속과제붉바리 종자 친화적인 사육수 미생물의 조성기법 개발씨알제주대2018-12-012019-11-30162502020-06-30
7첫걸음과제계속과제고온살균을 이용한 가축분뇨처리 및 발효액비 제조기술 개발건영축산제주대2018-12-012019-11-30165122020-06-30
8첫걸음과제계속과제수산양식용 생균보조사료 개발주식회사 지에스엘바이오제주대2018-12-012019-11-30166252020-06-30
9첫걸음과제계속과제식육숙성과 풍미향상을 위한 최신숙성기법개발(기업부설)대한축산유통제주대2018-12-012019-11-30166662020-06-30
구분진행상태과제명업체명공동개발기관사업시작일사업종료일도비지원액(천원)데이터기준일자
11지역유망과제신규과제스마트팜 전력 사용분석을 위한 지능형 전력량계와 전력 IT시스템㈜ 숨비제주대2018-06-012020-05-31483522020-06-30
12지역유망과제신규과제심탄도를 이용한 반려동물 응급상황 모니터링㈜ 에이치알지제주대2018-06-012020-05-31483522020-06-30
13지역유망과제신규과제Ad-Hoc 무선 네트워크 기반 피플카운팅 시스템 개발㈜글로비트제주한라대2018-06-012020-05-31479172020-06-30
14지역유망과제계속과제딥러닝 기반 주차관제 및 주차패턴 분석을 통한 지능형 고객 서비스 시스템 개발(주)이지정보기술제주대2017-06-012019-05-31175002020-06-30
15지역유망과제계속과제대용량 분해능력을 갖는 IoT 융합형 음식폐기물 감량기 개발주)지엘인터내셔날제주대2017-06-012019-05-31165942020-06-30
16지역유망과제계속과제제주 전통발효기술이 적용된 화장품 원료 및 스킨케어 제품 개발주식회사 헬리오스제주대2017-06-012019-05-31154172020-06-30
17지역유망과제계속과제용암해수와 제주산 과채류 부산물을 이용한 건강기능성 식품개발 및 산업화(주)비케이바이오제주대2017-06-012019-05-31135422020-06-30
18지역유망과제계속과제스마트팜 전력 사용분석을 위한 지능형 전력량계와 전력 IT시스템㈜ 숨비제주대2018-06-012020-05-31120882020-06-30
19지역유망과제계속과제심탄도를 이용한 반려동물 응급상황 모니터링㈜에이치알지제주대2018-06-012020-05-31120882020-06-30
20지역유망과제계속과제Ad-Hoc 무선 네트워크 기반 피플카운팅 시스템 개발㈜글로비트제주한라대2018-06-012020-05-31119792020-06-30