Overview

Dataset statistics

Number of variables6
Number of observations40
Missing cells30
Missing cells (%)12.5%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.0 KiB
Average record size in memory51.3 B

Variable types

Text5
Categorical1

Dataset

Description대전광역시 우수생활용품업체 현황에 대한 데이터로 상호, 주소, 전화번호, 주요생산품, 수상 등의 항목을 제공합니다.
Author대전광역시
URLhttps://www.data.go.kr/data/15062083/fileData.do

Alerts

수상 has 30 (75.0%) missing valuesMissing
상호 has unique valuesUnique
주소 has unique valuesUnique
전화번호 has unique valuesUnique
주요생산품 has unique valuesUnique

Reproduction

Analysis started2023-12-12 07:04:51.276276
Analysis finished2023-12-12 07:04:51.884945
Duration0.61 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

상호
Text

UNIQUE 

Distinct40
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size452.0 B
2023-12-12T16:04:52.030875image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length9
Mean length5.775
Min length2

Characters and Unicode

Total characters231
Distinct characters106
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique40 ?
Unique (%)100.0%

Sample

1st row한신타올공업
2nd row위더스 코리아㈜
3rd row㈜한국인삼공사
4th row㈜바이오뉴트리젠
5th row㈜리즈바이오텍
ValueCountFrequency (%)
한신타올공업 1
 
2.2%
㈜주신 1
 
2.2%
㈜나노기술 1
 
2.2%
㈜크로스윈텍 1
 
2.2%
㈜블루앤 1
 
2.2%
㈜우노코스 1
 
2.2%
주식회사 1
 
2.2%
코리아에네르 1
 
2.2%
고려공예 1
 
2.2%
명인목침 1
 
2.2%
Other values (35) 35
77.8%
2023-12-12T16:04:52.338402image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
㈜ 24
 
10.4%
이 9
 
3.9%
리 9
 
3.9%
아 7
 
3.0%
인 6
 
2.6%
오 6
 
2.6%
스 6
 
2.6%
바 6
 
2.6%
한 5
 
2.2%
텍 5
 
2.2%
Other values (96) 148
64.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 194
84.0%
Other Symbol 24
 
10.4%
Space Separator 5
 
2.2%
Lowercase Letter 4
 
1.7%
Uppercase Letter 3
 
1.3%
Other Punctuation 1
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 9
 
4.6%
리 9
 
4.6%
아 7
 
3.6%
인 6
 
3.1%
오 6
 
3.1%
스 6
 
3.1%
바 6
 
3.1%
한 5
 
2.6%
텍 5
 
2.6%
코 5
 
2.6%
Other values (86) 130
67.0%
Lowercase Letter
ValueCountFrequency (%)
o 1
25.0%
c 1
25.0%
b 1
25.0%
a 1
25.0%
Uppercase Letter
ValueCountFrequency (%)
L 1
33.3%
N 1
33.3%
S 1
33.3%
Other Symbol
ValueCountFrequency (%)
㈜ 24
100.0%
Space Separator
ValueCountFrequency (%)
5
100.0%
Other Punctuation
ValueCountFrequency (%)
. 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 218
94.4%
Latin 7
 
3.0%
Common 6
 
2.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
㈜ 24
 
11.0%
이 9
 
4.1%
리 9
 
4.1%
아 7
 
3.2%
인 6
 
2.8%
오 6
 
2.8%
스 6
 
2.8%
바 6
 
2.8%
한 5
 
2.3%
텍 5
 
2.3%
Other values (87) 135
61.9%
Latin
ValueCountFrequency (%)
L 1
14.3%
o 1
14.3%
c 1
14.3%
b 1
14.3%
a 1
14.3%
N 1
14.3%
S 1
14.3%
Common
ValueCountFrequency (%)
5
83.3%
. 1
 
16.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 194
84.0%
None 24
 
10.4%
ASCII 13
 
5.6%

Most frequent character per block

None
ValueCountFrequency (%)
㈜ 24
100.0%
Hangul
ValueCountFrequency (%)
이 9
 
4.6%
리 9
 
4.6%
아 7
 
3.6%
인 6
 
3.1%
오 6
 
3.1%
스 6
 
3.1%
바 6
 
3.1%
한 5
 
2.6%
텍 5
 
2.6%
코 5
 
2.6%
Other values (86) 130
67.0%
ASCII
ValueCountFrequency (%)
5
38.5%
L 1
 
7.7%
o 1
 
7.7%
c 1
 
7.7%
. 1
 
7.7%
b 1
 
7.7%
a 1
 
7.7%
N 1
 
7.7%
S 1
 
7.7%

주소
Text

UNIQUE 

Distinct40
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size452.0 B
2023-12-12T16:04:52.635277image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length40
Median length35.5
Mean length27.2
Min length16

Characters and Unicode

Total characters1088
Distinct characters144
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique40 ?
Unique (%)100.0%

Sample

1st row대전광역시 대덕구 평촌동 274
2nd row대전광역시 유성구 봉명동 656-6, 5층
3rd row대전광역시 서구 둔산동 926
4th row대전광역시 유성구 어은동 52 한국생명공학연구원 BVC 207호
5th row대전광역시 유성구 어은동 52 한국생명공학연구원 BVC 202호
ValueCountFrequency (%)
대전광역시 40
 
18.2%
유성구 16
 
7.3%
서구 10
 
4.5%
대덕구 7
 
3.2%
어은동 4
 
1.8%
동구 4
 
1.8%
중구 3
 
1.4%
52 3
 
1.4%
탑립동 2
 
0.9%
신일동 2
 
0.9%
Other values (120) 129
58.6%
2023-12-12T16:04:53.099487image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
180
 
16.5%
대 56
 
5.1%
구 47
 
4.3%
전 46
 
4.2%
동 46
 
4.2%
광 40
 
3.7%
역 40
 
3.7%
시 40
 
3.7%
1 35
 
3.2%
2 34
 
3.1%
Other values (134) 524
48.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 665
61.1%
Decimal Number 199
 
18.3%
Space Separator 180
 
16.5%
Dash Punctuation 22
 
2.0%
Uppercase Letter 21
 
1.9%
Other Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
대 56
 
8.4%
구 47
 
7.1%
전 46
 
6.9%
동 46
 
6.9%
광 40
 
6.0%
역 40
 
6.0%
시 40
 
6.0%
성 17
 
2.6%
유 16
 
2.4%
호 16
 
2.4%
Other values (113) 301
45.3%
Decimal Number
ValueCountFrequency (%)
1 35
17.6%
2 34
17.1%
3 27
13.6%
0 27
13.6%
6 22
11.1%
5 14
 
7.0%
9 13
 
6.5%
4 10
 
5.0%
8 9
 
4.5%
7 8
 
4.0%
Uppercase Letter
ValueCountFrequency (%)
I 4
19.0%
T 3
14.3%
B 3
14.3%
C 3
14.3%
K 2
9.5%
A 2
9.5%
S 2
9.5%
V 2
9.5%
Space Separator
ValueCountFrequency (%)
180
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 22
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 665
61.1%
Common 402
36.9%
Latin 21
 
1.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
대 56
 
8.4%
구 47
 
7.1%
전 46
 
6.9%
동 46
 
6.9%
광 40
 
6.0%
역 40
 
6.0%
시 40
 
6.0%
성 17
 
2.6%
유 16
 
2.4%
호 16
 
2.4%
Other values (113) 301
45.3%
Common
ValueCountFrequency (%)
180
44.8%
1 35
 
8.7%
2 34
 
8.5%
3 27
 
6.7%
0 27
 
6.7%
6 22
 
5.5%
- 22
 
5.5%
5 14
 
3.5%
9 13
 
3.2%
4 10
 
2.5%
Other values (3) 18
 
4.5%
Latin
ValueCountFrequency (%)
I 4
19.0%
T 3
14.3%
B 3
14.3%
C 3
14.3%
K 2
9.5%
A 2
9.5%
S 2
9.5%
V 2
9.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 665
61.1%
ASCII 423
38.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
180
42.6%
1 35
 
8.3%
2 34
 
8.0%
3 27
 
6.4%
0 27
 
6.4%
6 22
 
5.2%
- 22
 
5.2%
5 14
 
3.3%
9 13
 
3.1%
4 10
 
2.4%
Other values (11) 39
 
9.2%
Hangul
ValueCountFrequency (%)
대 56
 
8.4%
구 47
 
7.1%
전 46
 
6.9%
동 46
 
6.9%
광 40
 
6.0%
역 40
 
6.0%
시 40
 
6.0%
성 17
 
2.6%
유 16
 
2.4%
호 16
 
2.4%
Other values (113) 301
45.3%

전화번호
Text

UNIQUE 

Distinct40
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size452.0 B
2023-12-12T16:04:53.315768image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length11.8
Min length9

Characters and Unicode

Total characters472
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique40 ?
Unique (%)100.0%

Sample

1st row042-932-8181
2nd row042-825-9454
3rd row1588-2304
4th row042-861-0637
5th row042-862-5016
ValueCountFrequency (%)
042-932-8181 1
 
2.5%
042-825-9454 1
 
2.5%
042-862-0673 1
 
2.5%
042-867-3866 1
 
2.5%
042-861-6999 1
 
2.5%
042-936-8884 1
 
2.5%
042-625-3334 1
 
2.5%
042-932-5837 1
 
2.5%
042-581-3131 1
 
2.5%
042-546-5050 1
 
2.5%
Other values (30) 30
75.0%
2023-12-12T16:04:53.691819image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 77
16.3%
2 66
14.0%
0 61
12.9%
4 54
11.4%
8 43
9.1%
3 39
8.3%
6 37
7.8%
5 33
7.0%
7 25
 
5.3%
1 22
 
4.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 395
83.7%
Dash Punctuation 77
 
16.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 66
16.7%
0 61
15.4%
4 54
13.7%
8 43
10.9%
3 39
9.9%
6 37
9.4%
5 33
8.4%
7 25
 
6.3%
1 22
 
5.6%
9 15
 
3.8%
Dash Punctuation
ValueCountFrequency (%)
- 77
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 472
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 77
16.3%
2 66
14.0%
0 61
12.9%
4 54
11.4%
8 43
9.1%
3 39
8.3%
6 37
7.8%
5 33
7.0%
7 25
 
5.3%
1 22
 
4.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 472
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 77
16.3%
2 66
14.0%
0 61
12.9%
4 54
11.4%
8 43
9.1%
3 39
8.3%
6 37
7.8%
5 33
7.0%
7 25
 
5.3%
1 22
 
4.7%

주요생산품
Text

UNIQUE 

Distinct40
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size452.0 B
2023-12-12T16:04:54.001944image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length70
Median length20.5
Mean length15.7
Min length3

Characters and Unicode

Total characters628
Distinct characters234
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique40 ?
Unique (%)100.0%

Sample

1st row유기농 목화 타올, 대나무 섬유 타올
2nd rowDUCT TAPE, EASYTEAR TAPE
3rd row홍삼정, 홍삼톤마일드
4th rowJBB20을 위하여, SLIM
5th row리즈썬슬림
ValueCountFrequency (%)
jnh 2
 
1.7%
tape 2
 
1.7%
측정기 2
 
1.7%
혈당 2
 
1.7%
프로비 2
 
1.7%
타올 2
 
1.7%
롤브라인드 1
 
0.9%
고사목경침 1
 
0.9%
태극경두침 1
 
0.9%
찬합 1
 
0.9%
Other values (99) 99
86.1%
2023-12-12T16:04:54.484893image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
75
 
11.9%
, 31
 
4.9%
기 13
 
2.1%
스 11
 
1.8%
e 10
 
1.6%
r 8
 
1.3%
드 8
 
1.3%
A 7
 
1.1%
i 7
 
1.1%
n 7
 
1.1%
Other values (224) 451
71.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 335
53.3%
Uppercase Letter 81
 
12.9%
Space Separator 75
 
11.9%
Lowercase Letter 74
 
11.8%
Other Punctuation 34
 
5.4%
Decimal Number 15
 
2.4%
Dash Punctuation 5
 
0.8%
Open Punctuation 4
 
0.6%
Close Punctuation 4
 
0.6%
Math Symbol 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
기 13
 
3.9%
스 11
 
3.3%
드 8
 
2.4%
이 7
 
2.1%
프 7
 
2.1%
전 6
 
1.8%
비 5
 
1.5%
로 5
 
1.5%
트 5
 
1.5%
리 5
 
1.5%
Other values (169) 263
78.5%
Uppercase Letter
ValueCountFrequency (%)
A 7
 
8.6%
M 7
 
8.6%
E 6
 
7.4%
S 6
 
7.4%
C 5
 
6.2%
L 5
 
6.2%
N 5
 
6.2%
I 4
 
4.9%
D 4
 
4.9%
P 4
 
4.9%
Other values (11) 28
34.6%
Lowercase Letter
ValueCountFrequency (%)
e 10
13.5%
r 8
10.8%
i 7
9.5%
n 7
9.5%
o 7
9.5%
a 7
9.5%
m 6
8.1%
t 4
 
5.4%
g 4
 
5.4%
p 3
 
4.1%
Other values (8) 11
14.9%
Decimal Number
ValueCountFrequency (%)
0 7
46.7%
1 2
 
13.3%
7 2
 
13.3%
4 1
 
6.7%
3 1
 
6.7%
5 1
 
6.7%
2 1
 
6.7%
Other Punctuation
ValueCountFrequency (%)
, 31
91.2%
/ 1
 
2.9%
& 1
 
2.9%
. 1
 
2.9%
Space Separator
ValueCountFrequency (%)
75
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 5
100.0%
Open Punctuation
ValueCountFrequency (%)
( 4
100.0%
Close Punctuation
ValueCountFrequency (%)
) 4
100.0%
Math Symbol
ValueCountFrequency (%)
+ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 335
53.3%
Latin 155
24.7%
Common 138
22.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
기 13
 
3.9%
스 11
 
3.3%
드 8
 
2.4%
이 7
 
2.1%
프 7
 
2.1%
전 6
 
1.8%
비 5
 
1.5%
로 5
 
1.5%
트 5
 
1.5%
리 5
 
1.5%
Other values (169) 263
78.5%
Latin
ValueCountFrequency (%)
e 10
 
6.5%
r 8
 
5.2%
A 7
 
4.5%
i 7
 
4.5%
n 7
 
4.5%
o 7
 
4.5%
a 7
 
4.5%
M 7
 
4.5%
E 6
 
3.9%
S 6
 
3.9%
Other values (29) 83
53.5%
Common
ValueCountFrequency (%)
75
54.3%
, 31
22.5%
0 7
 
5.1%
- 5
 
3.6%
( 4
 
2.9%
) 4
 
2.9%
1 2
 
1.4%
7 2
 
1.4%
4 1
 
0.7%
+ 1
 
0.7%
Other values (6) 6
 
4.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 335
53.3%
ASCII 293
46.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
75
25.6%
, 31
 
10.6%
e 10
 
3.4%
r 8
 
2.7%
A 7
 
2.4%
i 7
 
2.4%
n 7
 
2.4%
o 7
 
2.4%
0 7
 
2.4%
a 7
 
2.4%
Other values (45) 127
43.3%
Hangul
ValueCountFrequency (%)
기 13
 
3.9%
스 11
 
3.3%
드 8
 
2.4%
이 7
 
2.1%
프 7
 
2.1%
전 6
 
1.8%
비 5
 
1.5%
로 5
 
1.5%
트 5
 
1.5%
리 5
 
1.5%
Other values (169) 263
78.5%

수상
Text

MISSING 

Distinct10
Distinct (%)100.0%
Missing30
Missing (%)75.0%
Memory size452.0 B
2023-12-12T16:04:54.751131image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length70
Median length57
Mean length33.7
Min length10

Characters and Unicode

Total characters337
Distinct characters100
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

Unique10 ?
Unique (%)100.0%

Sample

1st row산자부장관상, 산업포장 대통령상
2nd row발명의 날 석탑산업훈장 대통령상
3rd row우수창업기업(산자부장관표창)
4th row여성발명경진대회 산업자원부장관상
5th row대한민국 특허대전 동상(한국여성발명회), 대한민국 특허대전 동상(한국특허정보원), ESH 가치경영대상 수상(보건복지부 위원장)
ValueCountFrequency (%)
수상 3
 
5.6%
대한민국 3
 
5.6%
대통령상 2
 
3.7%
수출의 2
 
3.7%
탑 2
 
3.7%
특허대전 2
 
3.7%
산자부장관상 1
 
1.9%
표창 1
 
1.9%
삼백만불 1
 
1.9%
이천만물 1
 
1.9%
Other values (36) 36
66.7%
2023-12-12T16:04:55.230369image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
44
 
13.1%
상 22
 
6.5%
대 14
 
4.2%
업 13
 
3.9%
수 10
 
3.0%
, 10
 
3.0%
산 8
 
2.4%
부 8
 
2.4%
장 8
 
2.4%
정 7
 
2.1%
Other values (90) 193
57.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 253
75.1%
Space Separator 44
 
13.1%
Uppercase Letter 15
 
4.5%
Other Punctuation 11
 
3.3%
Close Punctuation 6
 
1.8%
Open Punctuation 6
 
1.8%
Dash Punctuation 1
 
0.3%
Decimal Number 1
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
상 22
 
8.7%
대 14
 
5.5%
업 13
 
5.1%
수 10
 
4.0%
산 8
 
3.2%
부 8
 
3.2%
장 8
 
3.2%
정 7
 
2.8%
통 7
 
2.8%
보 6
 
2.4%
Other values (74) 150
59.3%
Uppercase Letter
ValueCountFrequency (%)
S 3
20.0%
G 2
13.3%
O 2
13.3%
D 2
13.3%
E 2
13.3%
I 1
 
6.7%
N 1
 
6.7%
W 1
 
6.7%
H 1
 
6.7%
Other Punctuation
ValueCountFrequency (%)
, 10
90.9%
/ 1
 
9.1%
Space Separator
ValueCountFrequency (%)
44
100.0%
Close Punctuation
ValueCountFrequency (%)
) 6
100.0%
Open Punctuation
ValueCountFrequency (%)
( 6
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%
Decimal Number
ValueCountFrequency (%)
3 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 253
75.1%
Common 69
 
20.5%
Latin 15
 
4.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
상 22
 
8.7%
대 14
 
5.5%
업 13
 
5.1%
수 10
 
4.0%
산 8
 
3.2%
부 8
 
3.2%
장 8
 
3.2%
정 7
 
2.8%
통 7
 
2.8%
보 6
 
2.4%
Other values (74) 150
59.3%
Latin
ValueCountFrequency (%)
S 3
20.0%
G 2
13.3%
O 2
13.3%
D 2
13.3%
E 2
13.3%
I 1
 
6.7%
N 1
 
6.7%
W 1
 
6.7%
H 1
 
6.7%
Common
ValueCountFrequency (%)
44
63.8%
, 10
 
14.5%
) 6
 
8.7%
( 6
 
8.7%
- 1
 
1.4%
/ 1
 
1.4%
3 1
 
1.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 253
75.1%
ASCII 84
 
24.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
44
52.4%
, 10
 
11.9%
) 6
 
7.1%
( 6
 
7.1%
S 3
 
3.6%
G 2
 
2.4%
O 2
 
2.4%
D 2
 
2.4%
E 2
 
2.4%
I 1
 
1.2%
Other values (6) 6
 
7.1%
Hangul
ValueCountFrequency (%)
상 22
 
8.7%
대 14
 
5.5%
업 13
 
5.1%
수 10
 
4.0%
산 8
 
3.2%
부 8
 
3.2%
장 8
 
3.2%
정 7
 
2.8%
통 7
 
2.8%
보 6
 
2.4%
Other values (74) 150
59.3%

비고
Categorical

Distinct9
Distinct (%)22.5%
Missing0
Missing (%)0.0%
Memory size452.0 B
<NA>
21 
벤처기업, 이노비즈
6 
벤처기업
3 
대전시유망중소기업, 벤처기업
 
2
이노비즈
 
2
Other values (4)
6 

Length

Max length26
Median length4
Mean length6.875
Min length4

Unique

Unique2 ?
Unique (%)5.0%

Sample

1st row대전시유망중소기업, 벤처기업
2nd row<NA>
3rd row<NA>
4th row대전시유망중소기업, 벤처기업
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 21
52.5%
벤처기업, 이노비즈 6
 
15.0%
벤처기업 3
 
7.5%
대전시유망중소기업, 벤처기업 2
 
5.0%
이노비즈 2
 
5.0%
대전시유망중소기업 2
 
5.0%
수출유망중소기업 2
 
5.0%
한국원자력연구원 연구소기업, 벤처기업, 이노비즈 1
 
2.5%
대전시유망중소기업, 벤처기업, 이노비즈 1
 
2.5%

Length

2023-12-12T16:04:55.371025image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T16:04:55.491422image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 21
39.6%
벤처기업 13
24.5%
이노비즈 10
18.9%
대전시유망중소기업 5
 
9.4%
수출유망중소기업 2
 
3.8%
한국원자력연구원 1
 
1.9%
연구소기업 1
 
1.9%

Correlations

2023-12-12T16:04:55.596373image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
상호주소전화번호주요생산품수상비고
상호1.0001.0001.0001.0001.0001.000
주소1.0001.0001.0001.0001.0001.000
전화번호1.0001.0001.0001.0001.0001.000
주요생산품1.0001.0001.0001.0001.0001.000
수상1.0001.0001.0001.0001.0001.000
비고1.0001.0001.0001.0001.0001.000

Missing values

2023-12-12T16:04:51.737644image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T16:04:51.846219image/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

상호주소전화번호주요생산품수상비고
0한신타올공업대전광역시 대덕구 평촌동 274042-932-8181유기농 목화 타올, 대나무 섬유 타올산자부장관상, 산업포장 대통령상대전시유망중소기업, 벤처기업
1위더스 코리아㈜대전광역시 유성구 봉명동 656-6, 5층042-825-9454DUCT TAPE, EASYTEAR TAPE<NA><NA>
2㈜한국인삼공사대전광역시 서구 둔산동 9261588-2304홍삼정, 홍삼톤마일드<NA><NA>
3㈜바이오뉴트리젠대전광역시 유성구 어은동 52 한국생명공학연구원 BVC 207호042-861-0637JBB20을 위하여, SLIM발명의 날 석탑산업훈장 대통령상대전시유망중소기업, 벤처기업
4㈜리즈바이오텍대전광역시 유성구 어은동 52 한국생명공학연구원 BVC 202호042-862-5016리즈썬슬림<NA><NA>
5㈜안지오랩대전광역시 유성구 도룡동 3-1 엑스포과학공원 바이오진단융합센터042-867-5786Ob-X DF<NA>벤처기업, 이노비즈
6㈜대덕바이오대전광역시 유성구 궁동 220 충남대학교 농업생명공학관 411호042-823-4696구증구포흑삼, 기능성쌀 Rice-UP<NA>벤처기업, 이노비즈
7㈜한국앤더슨대전광역시 서구 만년동 308 리더스타운 C동 403호1577-7556플래티늄스포츠썬크림, 주름기능성핸드크림<NA><NA>
8㈜한생화장품대전광역시 서구 관저동 610-7080-542-5670한방화장품<NA><NA>
9대덕 Lab.co대전광역시 유성구 과학로 335 KAIST 신기술창업관 6106호042-867-9246JNH 쌩얼지우개, JNH Cell Regeneration Program<NA>벤처기업, 이노비즈
상호주소전화번호주요생산품수상비고
30주식회자 미건의료기대전광역시 동구 용전동 68-21042-222-3340HY-7000, MG7000세계일류상품인증서, 금탑산업훈장, 삼백만불 수출의 탑, 이천만물 수출의 탑, GOOD DESIGN-우수산업디자인상품선정이노비즈
31㈜아이소텍대전광역시 유성구 관평동 692042-934-1105레이저 혈당 측정기, 카드형 혈당 측정기<NA>벤처기업, 이노비즈
32디지털브레인대전광역시 대덕구 비래동 560-9 동부상가 108호042-482-4300자가발전 손전등<NA><NA>
33인이즈대전광역시 서구 갈마동 315 나동 202호042-633-1942아이리스 무한잉크 공급기<NA>벤처기업
34㈜비트코대전광역시 중구 태평동 262-2042-629-5723다기능 랜턴<NA><NA>
35아도니아대전광역시 동구 용운동 산27 대전대학교 창업보육센터 108호042-283-3115비비라이너<NA><NA>
36㈜케이엔텍대전광역시 대덕구 오정동 103-3042-633-4851아로마센스(Aroma Sense)김대중 대통령 표창수출유망중소기업
37㈜쓰리에버대전광역시 유성구 탑립동 694 IT전용벤처타운 321호042-824-8555LCD정보디스플레이어우수디자인상품상 수상<NA>
38씨엔로봇㈜대전광역시 서구 도안동 목원길 21 목원대학교 인터넷창업보육센터 306호042-536-2266CNR-14MI<NA><NA>
39㈜한국인식기술대전광역시 서구 탄방동 606 중도벤처타운 501호070-8277-2233SUF신S/W 상품대상(정보통신부장관상), 유망중소정보통신기업 선정(정보통신부), 제3회 정보통신기업 디지털 대상 특별상벤처기업, 이노비즈