Overview

Dataset statistics

Number of variables5
Number of observations300
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory12.4 KiB
Average record size in memory42.4 B

Variable types

Numeric2
Text2
DateTime1

Dataset

Description한국농업기술진흥원에서 지원하고 있는 농식품 분야 벤처 육성 기업 현황 정보로서 회사명 창업대상 사업 정보 등록일 조회수(관심도) 정보를 제공하고 있다.
Author한국농업기술진흥원
URLhttps://www.data.go.kr/data/15104647/fileData.do

Alerts

등록번호 has unique valuesUnique
회사명 has unique valuesUnique
창업대상 has unique valuesUnique
조회수 has 120 (40.0%) zerosZeros

Reproduction

Analysis started2023-12-12 09:28:48.166990
Analysis finished2023-12-12 09:28:49.463580
Duration1.3 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

등록번호
Real number (ℝ)

UNIQUE 

Distinct300
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean150.5
Minimum1
Maximum300
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2023-12-12T18:28:49.568283image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile15.95
Q175.75
median150.5
Q3225.25
95-th percentile285.05
Maximum300
Range299
Interquartile range (IQR)149.5

Descriptive statistics

Standard deviation86.746758
Coefficient of variation (CV)0.57639042
Kurtosis-1.2
Mean150.5
Median Absolute Deviation (MAD)75
Skewness0
Sum45150
Variance7525
MonotonicityStrictly increasing
2023-12-12T18:28:49.767650image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.3%
208 1
 
0.3%
206 1
 
0.3%
205 1
 
0.3%
204 1
 
0.3%
203 1
 
0.3%
202 1
 
0.3%
201 1
 
0.3%
200 1
 
0.3%
199 1
 
0.3%
Other values (290) 290
96.7%
ValueCountFrequency (%)
1 1
0.3%
2 1
0.3%
3 1
0.3%
4 1
0.3%
5 1
0.3%
6 1
0.3%
7 1
0.3%
8 1
0.3%
9 1
0.3%
10 1
0.3%
ValueCountFrequency (%)
300 1
0.3%
299 1
0.3%
298 1
0.3%
297 1
0.3%
296 1
0.3%
295 1
0.3%
294 1
0.3%
293 1
0.3%
292 1
0.3%
291 1
0.3%

회사명
Text

UNIQUE 

Distinct300
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size2.5 KiB
2023-12-12T18:28:50.174371image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length32
Median length21
Mean length10.526667
Min length3

Characters and Unicode

Total characters3158
Distinct characters365
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

Unique300 ?
Unique (%)100.0%

Sample

1st row농업회사법인 유한회사 바우어에너지
2nd row주식회사 디티아이
3rd row팜헬씨 주식회사
4th row크래프트 인조이 브루잉 컴퍼니
5th row농업회사법인 주식회사 젠틀파머스
ValueCountFrequency (%)
주식회사 153
28.2%
농업회사법인 57
 
10.5%
유한회사 7
 
1.3%
영농조합법인 2
 
0.4%
co.,ltd 2
 
0.4%
inc 2
 
0.4%
안성 1
 
0.2%
주)리부트라이프 1
 
0.2%
헬썸 1
 
0.2%
주)나우픽 1
 
0.2%
Other values (316) 316
58.2%
2023-12-12T18:28:50.708613image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
사 262
 
8.3%
회 259
 
8.2%
243
 
7.7%
주 217
 
6.9%
식 185
 
5.9%
인 92
 
2.9%
농 82
 
2.6%
이 79
 
2.5%
법 75
 
2.4%
업 73
 
2.3%
Other values (355) 1591
50.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2630
83.3%
Space Separator 243
 
7.7%
Lowercase Letter 97
 
3.1%
Open Punctuation 58
 
1.8%
Close Punctuation 58
 
1.8%
Uppercase Letter 50
 
1.6%
Other Punctuation 13
 
0.4%
Other Symbol 5
 
0.2%
Dash Punctuation 4
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
사 262
 
10.0%
회 259
 
9.8%
주 217
 
8.3%
식 185
 
7.0%
인 92
 
3.5%
농 82
 
3.1%
이 79
 
3.0%
법 75
 
2.9%
업 73
 
2.8%
스 65
 
2.5%
Other values (308) 1241
47.2%
Lowercase Letter
ValueCountFrequency (%)
o 12
12.4%
l 12
12.4%
e 9
9.3%
n 7
 
7.2%
t 7
 
7.2%
r 7
 
7.2%
a 6
 
6.2%
m 5
 
5.2%
c 5
 
5.2%
d 5
 
5.2%
Other values (10) 22
22.7%
Uppercase Letter
ValueCountFrequency (%)
L 7
14.0%
C 7
14.0%
I 5
10.0%
A 4
 
8.0%
G 4
 
8.0%
D 3
 
6.0%
O 3
 
6.0%
N 3
 
6.0%
E 2
 
4.0%
R 2
 
4.0%
Other values (9) 10
20.0%
Other Punctuation
ValueCountFrequency (%)
. 8
61.5%
, 4
30.8%
* 1
 
7.7%
Space Separator
ValueCountFrequency (%)
243
100.0%
Open Punctuation
ValueCountFrequency (%)
( 58
100.0%
Close Punctuation
ValueCountFrequency (%)
) 58
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 5
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2635
83.4%
Common 376
 
11.9%
Latin 147
 
4.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
사 262
 
9.9%
회 259
 
9.8%
주 217
 
8.2%
식 185
 
7.0%
인 92
 
3.5%
농 82
 
3.1%
이 79
 
3.0%
법 75
 
2.8%
업 73
 
2.8%
스 65
 
2.5%
Other values (309) 1246
47.3%
Latin
ValueCountFrequency (%)
o 12
 
8.2%
l 12
 
8.2%
e 9
 
6.1%
n 7
 
4.8%
t 7
 
4.8%
r 7
 
4.8%
L 7
 
4.8%
C 7
 
4.8%
a 6
 
4.1%
m 5
 
3.4%
Other values (29) 68
46.3%
Common
ValueCountFrequency (%)
243
64.6%
( 58
 
15.4%
) 58
 
15.4%
. 8
 
2.1%
- 4
 
1.1%
, 4
 
1.1%
* 1
 
0.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2630
83.3%
ASCII 523
 
16.6%
None 5
 
0.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
사 262
 
10.0%
회 259
 
9.8%
주 217
 
8.3%
식 185
 
7.0%
인 92
 
3.5%
농 82
 
3.1%
이 79
 
3.0%
법 75
 
2.9%
업 73
 
2.8%
스 65
 
2.5%
Other values (308) 1241
47.2%
ASCII
ValueCountFrequency (%)
243
46.5%
( 58
 
11.1%
) 58
 
11.1%
o 12
 
2.3%
l 12
 
2.3%
e 9
 
1.7%
. 8
 
1.5%
n 7
 
1.3%
t 7
 
1.3%
r 7
 
1.3%
Other values (36) 102
19.5%
None
ValueCountFrequency (%)
㈜ 5
100.0%

창업대상
Text

UNIQUE 

Distinct300
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size2.5 KiB
2023-12-12T18:28:51.040197image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length92
Median length48
Mean length28.773333
Min length3

Characters and Unicode

Total characters8632
Distinct characters595
Distinct categories14 ?
Distinct scripts4 ?
Distinct blocks6 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique300 ?
Unique (%)100.0%

Sample

1st row시설하우스 재배의 일반 DUCT개선을 통한 수확량 증수 및 에너지절감기술 상용화
2nd row국내산 쪽 염료를 이용한 Direct To Garment
3rd row블랙더덕, 느와르더덕 Tea
4th row지역농산물을 활용한 국산 밀맥주 브랜드 개발
5th row로컬푸드/비품농산물을 활용한 실버푸드 구독서비스
ValueCountFrequency (%)
및 86
 
4.2%
개발 79
 
3.9%
이용한 58
 
2.8%
활용한 45
 
2.2%
판매 24
 
1.2%
기능성 20
 
1.0%
위한 20
 
1.0%
생산 20
 
1.0%
제조 18
 
0.9%
지역 16
 
0.8%
Other values (1229) 1663
81.2%
2023-12-12T18:28:51.494613image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1754
 
20.3%
한 183
 
2.1%
용 182
 
2.1%
이 152
 
1.8%
기 142
 
1.6%
산 128
 
1.5%
물 123
 
1.4%
스 120
 
1.4%
발 114
 
1.3%
식 111
 
1.3%
Other values (585) 5623
65.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 6283
72.8%
Space Separator 1754
 
20.3%
Lowercase Letter 159
 
1.8%
Uppercase Letter 151
 
1.7%
Other Punctuation 101
 
1.2%
Close Punctuation 61
 
0.7%
Open Punctuation 60
 
0.7%
Decimal Number 32
 
0.4%
Dash Punctuation 8
 
0.1%
Initial Punctuation 8
 
0.1%
Other values (4) 15
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
한 183
 
2.9%
용 182
 
2.9%
이 152
 
2.4%
기 142
 
2.3%
산 128
 
2.0%
물 123
 
2.0%
스 120
 
1.9%
발 114
 
1.8%
식 111
 
1.8%
개 108
 
1.7%
Other values (512) 4920
78.3%
Lowercase Letter
ValueCountFrequency (%)
e 24
15.1%
o 16
 
10.1%
n 15
 
9.4%
a 15
 
9.4%
i 12
 
7.5%
t 9
 
5.7%
m 9
 
5.7%
l 6
 
3.8%
r 6
 
3.8%
d 6
 
3.8%
Other values (13) 41
25.8%
Uppercase Letter
ValueCountFrequency (%)
I 25
16.6%
T 22
14.6%
A 15
9.9%
C 12
7.9%
R 12
7.9%
O 11
7.3%
M 10
 
6.6%
D 10
 
6.6%
H 7
 
4.6%
F 4
 
2.6%
Other values (9) 23
15.2%
Other Punctuation
ValueCountFrequency (%)
, 64
63.4%
/ 15
 
14.9%
' 6
 
5.9%
. 4
 
4.0%
· 4
 
4.0%
& 4
 
4.0%
% 2
 
2.0%
: 1
 
1.0%
" 1
 
1.0%
Decimal Number
ValueCountFrequency (%)
3 6
18.8%
0 6
18.8%
1 6
18.8%
5 4
12.5%
8 3
9.4%
2 2
 
6.2%
4 2
 
6.2%
6 2
 
6.2%
9 1
 
3.1%
Math Symbol
ValueCountFrequency (%)
+ 3
42.9%
< 2
28.6%
> 2
28.6%
Initial Punctuation
ValueCountFrequency (%)
‘ 6
75.0%
“ 2
 
25.0%
Final Punctuation
ValueCountFrequency (%)
’ 4
66.7%
” 2
33.3%
Space Separator
ValueCountFrequency (%)
1754
100.0%
Close Punctuation
ValueCountFrequency (%)
) 61
100.0%
Open Punctuation
ValueCountFrequency (%)
( 60
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 8
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 1
100.0%
Other Symbol
ValueCountFrequency (%)
℃ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 6279
72.7%
Common 2039
 
23.6%
Latin 310
 
3.6%
Han 4
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
한 183
 
2.9%
용 182
 
2.9%
이 152
 
2.4%
기 142
 
2.3%
산 128
 
2.0%
물 123
 
2.0%
스 120
 
1.9%
발 114
 
1.8%
식 111
 
1.8%
개 108
 
1.7%
Other values (508) 4916
78.3%
Latin
ValueCountFrequency (%)
I 25
 
8.1%
e 24
 
7.7%
T 22
 
7.1%
o 16
 
5.2%
A 15
 
4.8%
n 15
 
4.8%
a 15
 
4.8%
C 12
 
3.9%
R 12
 
3.9%
i 12
 
3.9%
Other values (32) 142
45.8%
Common
ValueCountFrequency (%)
1754
86.0%
, 64
 
3.1%
) 61
 
3.0%
( 60
 
2.9%
/ 15
 
0.7%
- 8
 
0.4%
' 6
 
0.3%
3 6
 
0.3%
‘ 6
 
0.3%
0 6
 
0.3%
Other values (21) 53
 
2.6%
Han
ValueCountFrequency (%)
茶 1
25.0%
醬 1
25.0%
家 1
25.0%
孫 1
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 6279
72.7%
ASCII 2330
 
27.0%
Punctuation 14
 
0.2%
None 4
 
< 0.1%
CJK 4
 
< 0.1%
Letterlike Symbols 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1754
75.3%
, 64
 
2.7%
) 61
 
2.6%
( 60
 
2.6%
I 25
 
1.1%
e 24
 
1.0%
T 22
 
0.9%
o 16
 
0.7%
/ 15
 
0.6%
A 15
 
0.6%
Other values (57) 274
 
11.8%
Hangul
ValueCountFrequency (%)
한 183
 
2.9%
용 182
 
2.9%
이 152
 
2.4%
기 142
 
2.3%
산 128
 
2.0%
물 123
 
2.0%
스 120
 
1.9%
발 114
 
1.8%
식 111
 
1.8%
개 108
 
1.7%
Other values (508) 4916
78.3%
Punctuation
ValueCountFrequency (%)
‘ 6
42.9%
’ 4
28.6%
” 2
 
14.3%
“ 2
 
14.3%
None
ValueCountFrequency (%)
· 4
100.0%
CJK
ValueCountFrequency (%)
茶 1
25.0%
醬 1
25.0%
家 1
25.0%
孫 1
25.0%
Letterlike Symbols
ValueCountFrequency (%)
℃ 1
100.0%

등록일
Date

Distinct5
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size2.5 KiB
Minimum2020-07-23 00:00:00
Maximum2023-02-06 00:00:00
2023-12-12T18:28:51.607569image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:28:51.711054image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)

조회수
Real number (ℝ)

ZEROS 

Distinct62
Distinct (%)20.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean51.28
Minimum0
Maximum175
Zeros120
Zeros (%)40.0%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2023-12-12T18:28:51.854174image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median77
Q388
95-th percentile108
Maximum175
Range175
Interquartile range (IQR)88

Descriptive statistics

Standard deviation44.680751
Coefficient of variation (CV)0.87130949
Kurtosis-1.5636869
Mean51.28
Median Absolute Deviation (MAD)28
Skewness-0.075985476
Sum15384
Variance1996.3695
MonotonicityNot monotonic
2023-12-12T18:28:51.993336image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 120
40.0%
88 12
 
4.0%
87 11
 
3.7%
84 11
 
3.7%
80 9
 
3.0%
82 7
 
2.3%
90 6
 
2.0%
100 6
 
2.0%
86 6
 
2.0%
96 6
 
2.0%
Other values (52) 106
35.3%
ValueCountFrequency (%)
0 120
40.0%
2 1
 
0.3%
42 1
 
0.3%
43 2
 
0.7%
45 1
 
0.3%
46 1
 
0.3%
47 1
 
0.3%
48 3
 
1.0%
49 5
 
1.7%
50 2
 
0.7%
ValueCountFrequency (%)
175 1
0.3%
140 1
0.3%
127 1
0.3%
126 1
0.3%
125 1
0.3%
123 1
0.3%
120 1
0.3%
118 1
0.3%
117 1
0.3%
111 2
0.7%

Interactions

2023-12-12T18:28:49.006238image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:28:48.754333image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:28:49.140115image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:28:48.869107image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T18:28:52.088361image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
등록번호등록일조회수
등록번호1.0000.8470.619
등록일0.8471.0000.514
조회수0.6190.5141.000
2023-12-12T18:28:52.196898image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
등록번호조회수
등록번호1.0000.408
조회수0.4081.000

Missing values

2023-12-12T18:28:49.275922image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T18:28:49.404333image/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

등록번호회사명창업대상등록일조회수
01농업회사법인 유한회사 바우어에너지시설하우스 재배의 일반 DUCT개선을 통한 수확량 증수 및 에너지절감기술 상용화2023-02-060
12주식회사 디티아이국내산 쪽 염료를 이용한 Direct To Garment2021-08-200
23팜헬씨 주식회사블랙더덕, 느와르더덕 Tea2021-06-160
34크래프트 인조이 브루잉 컴퍼니지역농산물을 활용한 국산 밀맥주 브랜드 개발2021-06-160
45농업회사법인 주식회사 젠틀파머스로컬푸드/비품농산물을 활용한 실버푸드 구독서비스2021-06-16126
56주식회사 이소닉스빅데이터를 기반 식품 불량 검출장비 개발2021-06-1665
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