Overview

Dataset statistics

Number of variables9
Number of observations1794
Missing cells869
Missing cells (%)5.4%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory126.3 KiB
Average record size in memory72.1 B

Variable types

Text7
DateTime1
Categorical1

Dataset

Description한국환경산업기술원의 국내 환경관련 기술, 정책정보 및 환경산업체 제품 정보 등을 제공(제품명, 모델명, 회사명, 홈페이지, 적용기술 등)
Author한국환경산업기술원
URLhttps://www.data.go.kr/data/3056737/fileData.do

Alerts

카테고리 is highly imbalanced (55.9%)Imbalance
제품명 has 22 (1.2%) missing valuesMissing
모델명 has 321 (17.9%) missing valuesMissing
홈페이지 has 61 (3.4%) missing valuesMissing
적용 기술 has 456 (25.4%) missing valuesMissing

Reproduction

Analysis started2023-12-12 06:15:56.638843
Analysis finished2023-12-12 06:15:57.993578
Duration1.35 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

제목
Text

Distinct1683
Distinct (%)93.8%
Missing0
Missing (%)0.0%
Memory size14.1 KiB
2023-12-12T15:15:58.270766image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length98
Median length69
Mean length25.815496
Min length3

Characters and Unicode

Total characters46313
Distinct characters81
Distinct categories13 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1609 ?
Unique (%)89.7%

Sample

1st rowDeodorizer (Removal of VOC and Odor) using microorganisms
2nd rowUV sterilization unit of supply water and sewerage using ultra fine vibrators and flowing..
3rd rowCyclone and Bagfilter
4th rowDust collector
5th rowSoil environment
ValueCountFrequency (%)
system 238
 
3.9%
water 145
 
2.4%
treatment 125
 
2.1%
filter 120
 
2.0%
air 75
 
1.2%
facility 74
 
1.2%
type 68
 
1.1%
meter 65
 
1.1%
for 63
 
1.0%
sludge 61
 
1.0%
Other values (1856) 5036
83.0%
2023-12-12T15:15:58.817523image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
e 4533
 
9.8%
4280
 
9.2%
t 3418
 
7.4%
i 3068
 
6.6%
r 3002
 
6.5%
a 2695
 
5.8%
o 2510
 
5.4%
n 2372
 
5.1%
l 1910
 
4.1%
s 1610
 
3.5%
Other values (71) 16915
36.5%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 34139
73.7%
Uppercase Letter 6665
 
14.4%
Space Separator 4280
 
9.2%
Decimal Number 347
 
0.7%
Dash Punctuation 290
 
0.6%
Other Punctuation 234
 
0.5%
Close Punctuation 171
 
0.4%
Open Punctuation 171
 
0.4%
Other Symbol 9
 
< 0.1%
Math Symbol 2
 
< 0.1%
Other values (3) 5
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 4533
13.3%
t 3418
10.0%
i 3068
 
9.0%
r 3002
 
8.8%
a 2695
 
7.9%
o 2510
 
7.4%
n 2372
 
6.9%
l 1910
 
5.6%
s 1610
 
4.7%
c 1340
 
3.9%
Other values (16) 7681
22.5%
Uppercase Letter
ValueCountFrequency (%)
S 757
 
11.4%
C 553
 
8.3%
F 446
 
6.7%
A 444
 
6.7%
P 437
 
6.6%
T 435
 
6.5%
M 405
 
6.1%
R 381
 
5.7%
E 369
 
5.5%
D 355
 
5.3%
Other values (16) 2083
31.3%
Decimal Number
ValueCountFrequency (%)
1 95
27.4%
0 91
26.2%
2 64
18.4%
8 39
11.2%
3 16
 
4.6%
6 11
 
3.2%
5 10
 
2.9%
7 8
 
2.3%
4 8
 
2.3%
9 5
 
1.4%
Other Punctuation
ValueCountFrequency (%)
& 77
32.9%
/ 37
15.8%
# 37
15.8%
; 37
15.8%
. 27
 
11.5%
, 17
 
7.3%
: 2
 
0.9%
Close Punctuation
ValueCountFrequency (%)
) 168
98.2%
] 3
 
1.8%
Open Punctuation
ValueCountFrequency (%)
( 168
98.2%
[ 3
 
1.8%
Other Number
ValueCountFrequency (%)
₂ 1
50.0%
₃ 1
50.0%
Space Separator
ValueCountFrequency (%)
4280
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 290
100.0%
Other Symbol
ValueCountFrequency (%)
® 9
100.0%
Math Symbol
ValueCountFrequency (%)
+ 2
100.0%
Final Punctuation
ValueCountFrequency (%)
’ 2
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 40804
88.1%
Common 5509
 
11.9%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 4533
 
11.1%
t 3418
 
8.4%
i 3068
 
7.5%
r 3002
 
7.4%
a 2695
 
6.6%
o 2510
 
6.2%
n 2372
 
5.8%
l 1910
 
4.7%
s 1610
 
3.9%
c 1340
 
3.3%
Other values (42) 14346
35.2%
Common
ValueCountFrequency (%)
4280
77.7%
- 290
 
5.3%
) 168
 
3.0%
( 168
 
3.0%
1 95
 
1.7%
0 91
 
1.7%
& 77
 
1.4%
2 64
 
1.2%
8 39
 
0.7%
/ 37
 
0.7%
Other values (19) 200
 
3.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 46300
> 99.9%
None 11
 
< 0.1%
Punctuation 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
e 4533
 
9.8%
4280
 
9.2%
t 3418
 
7.4%
i 3068
 
6.6%
r 3002
 
6.5%
a 2695
 
5.8%
o 2510
 
5.4%
n 2372
 
5.1%
l 1910
 
4.1%
s 1610
 
3.5%
Other values (67) 16902
36.5%
None
ValueCountFrequency (%)
® 9
81.8%
₂ 1
 
9.1%
₃ 1
 
9.1%
Punctuation
ValueCountFrequency (%)
’ 2
100.0%

제품명
Text

MISSING 

Distinct1677
Distinct (%)94.6%
Missing22
Missing (%)1.2%
Memory size14.1 KiB
2023-12-12T15:15:59.156826image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length99
Median length73
Mean length26.774266
Min length3

Characters and Unicode

Total characters47444
Distinct characters83
Distinct categories14 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1606 ?
Unique (%)90.6%

Sample

1st rowBIO-CAT
2nd rowUV sterilization unit of sewerage
3rd rowCyclone and Bagfilter
4th rowDust collector
5th rowBusiness of conserving soil environment
ValueCountFrequency (%)
system 256
 
4.1%
water 139
 
2.2%
filter 118
 
1.9%
treatment 116
 
1.9%
for 77
 
1.2%
air 75
 
1.2%
facility 74
 
1.2%
type 71
 
1.1%
meter 66
 
1.1%
and 58
 
0.9%
Other values (1933) 5187
83.2%
2023-12-12T15:15:59.679956image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
e 4614
 
9.7%
4468
 
9.4%
t 3444
 
7.3%
i 3132
 
6.6%
r 3072
 
6.5%
a 2729
 
5.8%
o 2578
 
5.4%
n 2430
 
5.1%
l 1943
 
4.1%
s 1665
 
3.5%
Other values (73) 17369
36.6%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 34913
73.6%
Uppercase Letter 6780
 
14.3%
Space Separator 4468
 
9.4%
Decimal Number 388
 
0.8%
Dash Punctuation 303
 
0.6%
Other Punctuation 245
 
0.5%
Open Punctuation 166
 
0.3%
Close Punctuation 166
 
0.3%
Other Symbol 7
 
< 0.1%
Math Symbol 2
 
< 0.1%
Other values (4) 6
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 4614
13.2%
t 3444
9.9%
i 3132
 
9.0%
r 3072
 
8.8%
a 2729
 
7.8%
o 2578
 
7.4%
n 2430
 
7.0%
l 1943
 
5.6%
s 1665
 
4.8%
c 1397
 
4.0%
Other values (16) 7909
22.7%
Uppercase Letter
ValueCountFrequency (%)
S 803
 
11.8%
C 553
 
8.2%
P 458
 
6.8%
A 457
 
6.7%
F 437
 
6.4%
T 431
 
6.4%
M 410
 
6.0%
R 382
 
5.6%
E 372
 
5.5%
D 366
 
5.4%
Other values (16) 2111
31.1%
Decimal Number
ValueCountFrequency (%)
0 111
28.6%
1 101
26.0%
2 64
16.5%
8 40
 
10.3%
5 18
 
4.6%
3 18
 
4.6%
4 13
 
3.4%
6 11
 
2.8%
7 7
 
1.8%
9 5
 
1.3%
Other Punctuation
ValueCountFrequency (%)
& 77
31.4%
/ 38
15.5%
# 38
15.5%
; 38
15.5%
. 28
 
11.4%
, 23
 
9.4%
: 2
 
0.8%
% 1
 
0.4%
Open Punctuation
ValueCountFrequency (%)
( 165
99.4%
[ 1
 
0.6%
Close Punctuation
ValueCountFrequency (%)
) 165
99.4%
] 1
 
0.6%
Other Number
ValueCountFrequency (%)
₂ 1
50.0%
₃ 1
50.0%
Space Separator
ValueCountFrequency (%)
4468
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 303
100.0%
Other Symbol
ValueCountFrequency (%)
® 7
100.0%
Math Symbol
ValueCountFrequency (%)
+ 2
100.0%
Final Punctuation
ValueCountFrequency (%)
’ 2
100.0%
Modifier Symbol
ValueCountFrequency (%)
` 1
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 41693
87.9%
Common 5751
 
12.1%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 4614
 
11.1%
t 3444
 
8.3%
i 3132
 
7.5%
r 3072
 
7.4%
a 2729
 
6.5%
o 2578
 
6.2%
n 2430
 
5.8%
l 1943
 
4.7%
s 1665
 
4.0%
c 1397
 
3.4%
Other values (42) 14689
35.2%
Common
ValueCountFrequency (%)
4468
77.7%
- 303
 
5.3%
( 165
 
2.9%
) 165
 
2.9%
0 111
 
1.9%
1 101
 
1.8%
& 77
 
1.3%
2 64
 
1.1%
8 40
 
0.7%
/ 38
 
0.7%
Other values (21) 219
 
3.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 47433
> 99.9%
None 9
 
< 0.1%
Punctuation 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
e 4614
 
9.7%
4468
 
9.4%
t 3444
 
7.3%
i 3132
 
6.6%
r 3072
 
6.5%
a 2729
 
5.8%
o 2578
 
5.4%
n 2430
 
5.1%
l 1943
 
4.1%
s 1665
 
3.5%
Other values (69) 17358
36.6%
None
ValueCountFrequency (%)
® 7
77.8%
₂ 1
 
11.1%
₃ 1
 
11.1%
Punctuation
ValueCountFrequency (%)
’ 2
100.0%

모델명
Text

MISSING 

Distinct1433
Distinct (%)97.3%
Missing321
Missing (%)17.9%
Memory size14.1 KiB
2023-12-12T15:16:00.021156image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length100
Median length72
Mean length23.098439
Min length2

Characters and Unicode

Total characters34024
Distinct characters82
Distinct categories14 ?
Distinct scripts2 ?
Distinct blocks5 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1402 ?
Unique (%)95.2%

Sample

1st rowHK-BC
2nd rowUV sterilization unit of sewerage
3rd rowCYBAGFILTER
4th rowEB-Deduster
5th rowSoil environment
ValueCountFrequency (%)
system 184
 
3.9%
filter 96
 
2.1%
water 80
 
1.7%
for 66
 
1.4%
treatment 63
 
1.3%
type 62
 
1.3%
59
 
1.3%
and 46
 
1.0%
air 39
 
0.8%
series 37
 
0.8%
Other values (2037) 3937
84.3%
2023-12-12T15:16:00.540976image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3199
 
9.4%
e 3005
 
8.8%
t 2108
 
6.2%
i 2047
 
6.0%
r 1979
 
5.8%
a 1754
 
5.2%
o 1627
 
4.8%
n 1595
 
4.7%
l 1225
 
3.6%
s 1120
 
3.3%
Other values (72) 14365
42.2%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 22450
66.0%
Uppercase Letter 6396
 
18.8%
Space Separator 3199
 
9.4%
Decimal Number 1033
 
3.0%
Dash Punctuation 419
 
1.2%
Other Punctuation 242
 
0.7%
Close Punctuation 126
 
0.4%
Open Punctuation 126
 
0.4%
Other Symbol 15
 
< 0.1%
Math Symbol 12
 
< 0.1%
Other values (4) 6
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 3005
13.4%
t 2108
9.4%
i 2047
9.1%
r 1979
 
8.8%
a 1754
 
7.8%
o 1627
 
7.2%
n 1595
 
7.1%
l 1225
 
5.5%
s 1120
 
5.0%
c 884
 
3.9%
Other values (16) 5106
22.7%
Uppercase Letter
ValueCountFrequency (%)
S 759
 
11.9%
C 470
 
7.3%
P 427
 
6.7%
A 424
 
6.6%
T 416
 
6.5%
E 383
 
6.0%
R 375
 
5.9%
D 365
 
5.7%
M 360
 
5.6%
F 346
 
5.4%
Other values (16) 2071
32.4%
Decimal Number
ValueCountFrequency (%)
0 452
43.8%
1 152
 
14.7%
2 119
 
11.5%
5 80
 
7.7%
3 70
 
6.8%
4 40
 
3.9%
6 39
 
3.8%
8 34
 
3.3%
7 29
 
2.8%
9 18
 
1.7%
Other Punctuation
ValueCountFrequency (%)
, 85
35.1%
/ 50
20.7%
& 38
15.7%
. 37
15.3%
; 15
 
6.2%
# 14
 
5.8%
: 3
 
1.2%
Math Symbol
ValueCountFrequency (%)
~ 9
75.0%
+ 2
 
16.7%
∑ 1
 
8.3%
Other Symbol
ValueCountFrequency (%)
® 13
86.7%
™ 2
 
13.3%
Space Separator
ValueCountFrequency (%)
3199
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 419
100.0%
Close Punctuation
ValueCountFrequency (%)
) 126
100.0%
Open Punctuation
ValueCountFrequency (%)
( 126
100.0%
Final Punctuation
ValueCountFrequency (%)
’ 2
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 2
100.0%
Initial Punctuation
ValueCountFrequency (%)
‘ 1
100.0%
Modifier Symbol
ValueCountFrequency (%)
` 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 28846
84.8%
Common 5178
 
15.2%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 3005
 
10.4%
t 2108
 
7.3%
i 2047
 
7.1%
r 1979
 
6.9%
a 1754
 
6.1%
o 1627
 
5.6%
n 1595
 
5.5%
l 1225
 
4.2%
s 1120
 
3.9%
c 884
 
3.1%
Other values (42) 11502
39.9%
Common
ValueCountFrequency (%)
3199
61.8%
0 452
 
8.7%
- 419
 
8.1%
1 152
 
2.9%
) 126
 
2.4%
( 126
 
2.4%
2 119
 
2.3%
, 85
 
1.6%
5 80
 
1.5%
3 70
 
1.4%
Other values (20) 350
 
6.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 34005
99.9%
None 13
 
< 0.1%
Punctuation 3
 
< 0.1%
Letterlike Symbols 2
 
< 0.1%
Math Operators 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3199
 
9.4%
e 3005
 
8.8%
t 2108
 
6.2%
i 2047
 
6.0%
r 1979
 
5.8%
a 1754
 
5.2%
o 1627
 
4.8%
n 1595
 
4.7%
l 1225
 
3.6%
s 1120
 
3.3%
Other values (67) 14346
42.2%
None
ValueCountFrequency (%)
® 13
100.0%
Letterlike Symbols
ValueCountFrequency (%)
™ 2
100.0%
Punctuation
ValueCountFrequency (%)
’ 2
66.7%
‘ 1
33.3%
Math Operators
ValueCountFrequency (%)
∑ 1
100.0%

회사명
Text

Distinct1093
Distinct (%)61.1%
Missing5
Missing (%)0.3%
Memory size14.1 KiB
2023-12-12T15:16:00.860612image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length59
Median length42
Mean length21.877585
Min length3

Characters and Unicode

Total characters39139
Distinct characters69
Distinct categories10 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique760 ?
Unique (%)42.5%

Sample

1st rowHanki Industries Co., Ltd.
2nd rowJesagi Hankook
3rd rowCF Tech
4th rowCF Tech
5th rowDongmyeong Enterprise
ValueCountFrequency (%)
ltd 1247
 
19.5%
co 1240
 
19.4%
engineering 161
 
2.5%
inc 136
 
2.1%
tech 109
 
1.7%
environment 81
 
1.3%
technology 71
 
1.1%
korea 69
 
1.1%
environmental 67
 
1.1%
eng 66
 
1.0%
Other values (1008) 3133
49.1%
2023-12-12T15:16:01.300075image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4592
 
11.7%
. 2641
 
6.7%
o 2628
 
6.7%
n 2609
 
6.7%
t 1952
 
5.0%
e 1888
 
4.8%
C 1857
 
4.7%
L 1471
 
3.8%
d 1356
 
3.5%
i 1300
 
3.3%
Other values (59) 16845
43.0%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 19143
48.9%
Uppercase Letter 11268
28.8%
Space Separator 4592
 
11.7%
Other Punctuation 3997
 
10.2%
Dash Punctuation 93
 
0.2%
Decimal Number 26
 
0.1%
Open Punctuation 7
 
< 0.1%
Close Punctuation 7
 
< 0.1%
Final Punctuation 5
 
< 0.1%
Connector Punctuation 1
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
o 2628
13.7%
n 2609
13.6%
t 1952
10.2%
e 1888
9.9%
d 1356
 
7.1%
i 1300
 
6.8%
r 1032
 
5.4%
a 1016
 
5.3%
g 861
 
4.5%
c 838
 
4.4%
Other values (16) 3663
19.1%
Uppercase Letter
ValueCountFrequency (%)
C 1857
16.5%
L 1471
13.1%
E 1202
10.7%
T 806
 
7.2%
I 722
 
6.4%
N 653
 
5.8%
S 536
 
4.8%
O 509
 
4.5%
D 442
 
3.9%
A 389
 
3.5%
Other values (16) 2681
23.8%
Decimal Number
ValueCountFrequency (%)
2 11
42.3%
1 9
34.6%
3 2
 
7.7%
0 2
 
7.7%
5 1
 
3.8%
4 1
 
3.8%
Other Punctuation
ValueCountFrequency (%)
. 2641
66.1%
, 1247
31.2%
& 106
 
2.7%
/ 2
 
0.1%
: 1
 
< 0.1%
Space Separator
ValueCountFrequency (%)
4592
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 93
100.0%
Open Punctuation
ValueCountFrequency (%)
( 7
100.0%
Close Punctuation
ValueCountFrequency (%)
) 7
100.0%
Final Punctuation
ValueCountFrequency (%)
’ 5
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 30411
77.7%
Common 8728
 
22.3%

Most frequent character per script

Latin
ValueCountFrequency (%)
o 2628
 
8.6%
n 2609
 
8.6%
t 1952
 
6.4%
e 1888
 
6.2%
C 1857
 
6.1%
L 1471
 
4.8%
d 1356
 
4.5%
i 1300
 
4.3%
E 1202
 
4.0%
r 1032
 
3.4%
Other values (42) 13116
43.1%
Common
ValueCountFrequency (%)
4592
52.6%
. 2641
30.3%
, 1247
 
14.3%
& 106
 
1.2%
- 93
 
1.1%
2 11
 
0.1%
1 9
 
0.1%
( 7
 
0.1%
) 7
 
0.1%
’ 5
 
0.1%
Other values (7) 10
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 39134
> 99.9%
Punctuation 5
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4592
 
11.7%
. 2641
 
6.7%
o 2628
 
6.7%
n 2609
 
6.7%
t 1952
 
5.0%
e 1888
 
4.8%
C 1857
 
4.7%
L 1471
 
3.8%
d 1356
 
3.5%
i 1300
 
3.3%
Other values (58) 16840
43.0%
Punctuation
ValueCountFrequency (%)
’ 5
100.0%

홈페이지
Text

MISSING 

Distinct854
Distinct (%)49.3%
Missing61
Missing (%)3.4%
Memory size14.1 KiB
2023-12-12T15:16:01.511304image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length68
Median length47
Mean length23.315638
Min length7

Characters and Unicode

Total characters40406
Distinct characters69
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

Unique500 ?
Unique (%)28.9%

Sample

1st rowhttp://www.hanki.co.kr
2nd rowhttp://www.jesagi.co.kr
3rd rowhttp://www.cftch.co.kr
4th rowhttp://www.cftch.co.kr
5th rowhttp://www.dm-ent.co.kr
ValueCountFrequency (%)
http://www.dyeco.co.kr 21
 
1.2%
http://www.e-kine.com 18
 
1.0%
http://cheonbo.co.kr 18
 
1.0%
http://www.kiflow.co.kr 16
 
0.9%
http://www.yucheon.co.kr 14
 
0.8%
http://www.sgenv.kr 12
 
0.7%
http://www.gana1.co.kr 10
 
0.6%
http://www.hy-tech.co.kr 10
 
0.6%
http://www.enetcom.co.kr 9
 
0.5%
http://www 9
 
0.5%
Other values (803) 1612
92.2%
2023-12-12T15:16:01.865536image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
w 4926
12.2%
. 4358
 
10.8%
t 3987
 
9.9%
/ 3725
 
9.2%
o 2572
 
6.4%
c 2395
 
5.9%
h 2185
 
5.4%
p 1875
 
4.6%
r 1713
 
4.2%
e 1693
 
4.2%
Other values (59) 10977
27.2%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 29961
74.1%
Other Punctuation 9699
 
24.0%
Decimal Number 422
 
1.0%
Dash Punctuation 254
 
0.6%
Uppercase Letter 34
 
0.1%
Space Separator 16
 
< 0.1%
Connector Punctuation 10
 
< 0.1%
Other Letter 6
 
< 0.1%
Math Symbol 4
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
w 4926
16.4%
t 3987
13.3%
o 2572
8.6%
c 2395
8.0%
h 2185
 
7.3%
p 1875
 
6.3%
r 1713
 
5.7%
e 1693
 
5.7%
k 1454
 
4.9%
n 1312
 
4.4%
Other values (16) 5849
19.5%
Uppercase Letter
ValueCountFrequency (%)
E 6
17.6%
W 4
11.8%
A 3
8.8%
C 3
8.8%
V 2
 
5.9%
J 2
 
5.9%
N 2
 
5.9%
M 2
 
5.9%
L 2
 
5.9%
D 2
 
5.9%
Other values (6) 6
17.6%
Decimal Number
ValueCountFrequency (%)
1 116
27.5%
2 109
25.8%
0 44
 
10.4%
3 40
 
9.5%
8 31
 
7.3%
4 28
 
6.6%
9 22
 
5.2%
7 14
 
3.3%
5 13
 
3.1%
6 5
 
1.2%
Other Punctuation
ValueCountFrequency (%)
. 4358
44.9%
/ 3725
38.4%
: 1612
 
16.6%
@ 2
 
< 0.1%
& 1
 
< 0.1%
? 1
 
< 0.1%
Other Letter
ValueCountFrequency (%)
신 1
16.7%
술 1
16.7%
기 1
16.7%
경 1
16.7%
환 1
16.7%
광 1
16.7%
Math Symbol
ValueCountFrequency (%)
~ 2
50.0%
= 2
50.0%
Dash Punctuation
ValueCountFrequency (%)
- 254
100.0%
Space Separator
ValueCountFrequency (%)
16
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 10
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 29995
74.2%
Common 10405
 
25.8%
Hangul 6
 
< 0.1%

Most frequent character per script

Latin
ValueCountFrequency (%)
w 4926
16.4%
t 3987
13.3%
o 2572
8.6%
c 2395
8.0%
h 2185
 
7.3%
p 1875
 
6.3%
r 1713
 
5.7%
e 1693
 
5.6%
k 1454
 
4.8%
n 1312
 
4.4%
Other values (32) 5883
19.6%
Common
ValueCountFrequency (%)
. 4358
41.9%
/ 3725
35.8%
: 1612
 
15.5%
- 254
 
2.4%
1 116
 
1.1%
2 109
 
1.0%
0 44
 
0.4%
3 40
 
0.4%
8 31
 
0.3%
4 28
 
0.3%
Other values (11) 88
 
0.8%
Hangul
ValueCountFrequency (%)
신 1
16.7%
술 1
16.7%
기 1
16.7%
경 1
16.7%
환 1
16.7%
광 1
16.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 40400
> 99.9%
Hangul 6
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
w 4926
12.2%
. 4358
 
10.8%
t 3987
 
9.9%
/ 3725
 
9.2%
o 2572
 
6.4%
c 2395
 
5.9%
h 2185
 
5.4%
p 1875
 
4.6%
r 1713
 
4.2%
e 1693
 
4.2%
Other values (53) 10971
27.2%
Hangul
ValueCountFrequency (%)
신 1
16.7%
술 1
16.7%
기 1
16.7%
경 1
16.7%
환 1
16.7%
광 1
16.7%

등록일
Date

Distinct597
Distinct (%)33.3%
Missing0
Missing (%)0.0%
Memory size14.1 KiB
Minimum2004-02-20 00:00:00
Maximum2020-08-25 00:00:00
2023-12-12T15:16:02.001981image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T15:16:02.129584image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

내용
Text

Distinct1790
Distinct (%)100.0%
Missing4
Missing (%)0.2%
Memory size14.1 KiB
2023-12-12T15:16:02.473637image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length1024
Median length1024
Mean length919.40112
Min length49

Characters and Unicode

Total characters1645728
Distinct characters225
Distinct categories19 ?
Distinct scripts5 ?
Distinct blocks14 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1790 ?
Unique (%)100.0%

Sample

1st row1. Outline 1) Microorganisms that oxidize and decompose odor materials and VOCs form bioflims in media that are filled in the reactor. 2) The odor materials and VOCs that are transported to BIO-CAT are adsorbed and absorbed on the surfaces of biofilms. The microorganisms decompose. by oxidation reactions. them into CO2. H2O. and materials that are harmless to human body. 2. Advantages 1) Possible to simultaneously treat odor and VOCs 2) Fast discomposing and minimization of pressure loss 3) Strong durability and low cost of maintenance 4) Maximization of removal efficiency by selecting microorganisms according to odor and VOCs materials 5) Fully automatic operation method 3. Application fields 1) Sewerage. wastewater. and night soil treatment facilities 2) Food waste treatment facilities 3) Fish and meat processing factories 4) Painting and ink processes of automobiles and electronic products 5) Manufacturing processes of solvents. adherents. and synthetic fibers 6) Plastic manufacturing pr
2nd row1. Outline The unit sterilizes E. Coli and other germs in water. using UV lamp that emits rays of 230 ~ 270 nm. 2. Introduction Generation of fine vibration in the inflow water increases the possibility that UV rays contact germs. thereby maximizing sterilization. In particular. pulse vibrator (patented) is used to maximize sterilization(See Fig1). 3. Characteristics 1) Easy maintenance - Easy to maintain: Possible to separate and substitute lamp by opening the top cover only. - Prevent the attachment of foreign materials to quartz sleeves of UV lamp and the formation of scale. 2) Contacting tank of flowing and floating - The plate to lead water flow is of the S character shape. which increases the opportunity for germs to contact UV rays. Thus the sterilization opportunity is increased. 3) The unit can be installed in any places. - The installation area is half of the horizontal type and can be easily installed even in the prior contacting tanks of chlorine sterilization. -Possible to insta
3rd row1. Outline The facility is an integrated dust collector that has a bagfilter at the top portion ad a cyclone at the bottom. 2. Introduction 1) Performance of Cybagfilter We developed a cyclone shape of high efficiency by computational analysis using CFD(Computational Fluid Dynamic). Cybagfilter collects 70% of dusts with sub-micron (less than 1 mm) and 95% of dusts with more than 10 mm at the cyclone part. 2) De-dusting system of bagfilter in Cybagfilter - Air line pulse jet is used for de-dusting. - Our company developed various types of air line spray nozzles to improve the de-dusting function. which are most optimal for de-dusting systems. 3. Characteristics 1) The structure is simple and it is possible to install them in a limited space. 2) The dust load in filtration cloth is reduced. 3) It is possible to extend the de-dusting interval 4) We possess the design technology of Compact Hybrid Dust Collector 5) The operation. maintenance. and installation costs are reduced compared to t
4th row1. Outline EB-Deduster is a dust collector that adopts the advantages of electric dust collection and bag filtering. EB-Deduster is developed to maintain the dust collection efficiency by using the advantages and to reduce the operation cost. 2. Introduction In the entrance of EB-Deduster. a corona discharging area is installed for dusts to be charged with negative charges. The charged particles are collected on the surface of filtration clothes by electrostatic attraction. The density reduction of the dust layer formed there reduces the pressure loss. Thus. the density reduction increases the dust collection efficiency of fine dusts with less than 1 mm. 3. Characteristics 1) The remnant pressure loss is reduced by 30% 2) The de-dusting interval is extended by more than twice 3) The life time of filtration cloths is extended by more than twice. 4) It is possible to save the energy consumption by about 15%. 5) The dust collection efficiency of fine dust particles is improved by about 5% 6) I
5th row1. Outline Restoration of contaminated soil using microorganisms treat contaminated soil biologically without incinerating the soil contaminated with oil or bringing soil from other places. 2. Introduction Biological decomposition processes of contaminated soil using microorganisms 3. Characteristics 1) Restoration using microorganisms allow in-situ treatment. Thus wide contaminated areas can be treated economically and effectively. 2) The soil restoration period can be minimized. 3) Biological reaction by microorganisms is continuous and accelerated. Thus. when this method is used repeatedly. the treatment speed is increased and the secondary contamination can be prevented. 4) Since restoration can occur as the underground water flows. there is the effect of additional restoration. 4. Application Oil-contaminated soil
ValueCountFrequency (%)
the 9360
 
4.1%
9025
 
4.0%
and 8171
 
3.6%
of 7288
 
3.2%
a 4311
 
1.9%
is 4250
 
1.9%
to 4206
 
1.9%
in 3002
 
1.3%
water 2457
 
1.1%
by 2340
 
1.0%
Other values (16096) 171424
75.9%
2023-12-12T15:16:02.984668image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
266488
16.2%
e 136178
 
8.3%
t 114085
 
6.9%
i 102753
 
6.2%
a 99193
 
6.0%
n 87709
 
5.3%
o 83694
 
5.1%
r 81249
 
4.9%
s 71794
 
4.4%
c 56940
 
3.5%
Other values (215) 545645
33.2%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 1202091
73.0%
Space Separator 266490
 
16.2%
Other Punctuation 55080
 
3.3%
Uppercase Letter 45869
 
2.8%
Decimal Number 39038
 
2.4%
Dash Punctuation 15413
 
0.9%
Math Symbol 13753
 
0.8%
Close Punctuation 2692
 
0.2%
Open Punctuation 2238
 
0.1%
Connector Punctuation 1748
 
0.1%
Other values (9) 1316
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
ㆍ 231
46.5%
고 29
 
5.8%
딕 29
 
5.8%
바 22
 
4.4%
탕 22
 
4.4%
은 20
 
4.0%
맑 20
 
4.0%
수 10
 
2.0%
모 9
 
1.8%
던 9
 
1.8%
Other values (47) 96
19.3%
Lowercase Letter
ValueCountFrequency (%)
e 136178
11.3%
t 114085
 
9.5%
i 102753
 
8.5%
a 99193
 
8.3%
n 87709
 
7.3%
o 83694
 
7.0%
r 81249
 
6.8%
s 71794
 
6.0%
c 56940
 
4.7%
l 51700
 
4.3%
Other values (23) 316796
26.4%
Uppercase Letter
ValueCountFrequency (%)
I 4396
 
9.6%
C 4175
 
9.1%
P 4158
 
9.1%
T 3614
 
7.9%
A 3346
 
7.3%
O 3311
 
7.2%
S 3310
 
7.2%
M 3170
 
6.9%
E 2044
 
4.5%
D 1736
 
3.8%
Other values (21) 12609
27.5%
Other Symbol
ValueCountFrequency (%)
℃ 84
25.9%
㎛ 42
13.0%
㎥ 28
 
8.6%
° 27
 
8.3%
® 23
 
7.1%
㎠ 17
 
5.2%
■ 15
 
4.6%
● 11
 
3.4%
㎜ 9
 
2.8%
㎲ 9
 
2.8%
Other values (16) 59
18.2%
Other Punctuation
ValueCountFrequency (%)
. 27956
50.8%
/ 13175
23.9%
; 3441
 
6.2%
: 3134
 
5.7%
& 3038
 
5.5%
# 2066
 
3.8%
" 931
 
1.7%
' 530
 
1.0%
% 513
 
0.9%
? 153
 
0.3%
Other values (9) 143
 
0.3%
Math Symbol
ValueCountFrequency (%)
< 5650
41.1%
> 5619
40.9%
= 1991
 
14.5%
~ 277
 
2.0%
+ 107
 
0.8%
→ 38
 
0.3%
× 27
 
0.2%
± 18
 
0.1%
∼ 14
 
0.1%
⇒ 5
 
< 0.1%
Other values (4) 7
 
0.1%
Decimal Number
ValueCountFrequency (%)
0 9786
25.1%
2 9530
24.4%
1 6210
15.9%
3 3251
 
8.3%
8 2636
 
6.8%
6 2540
 
6.5%
4 2167
 
5.6%
5 1451
 
3.7%
9 890
 
2.3%
7 577
 
1.5%
Other Number
ValueCountFrequency (%)
① 29
19.0%
₂ 27
17.6%
² 26
17.0%
② 26
17.0%
③ 14
9.2%
³ 12
7.8%
₃ 7
 
4.6%
④ 6
 
3.9%
⑤ 4
 
2.6%
⑥ 2
 
1.3%
Close Punctuation
ValueCountFrequency (%)
) 2666
99.0%
] 21
 
0.8%
} 3
 
0.1%
） 2
 
0.1%
Open Punctuation
ValueCountFrequency (%)
( 2213
98.9%
[ 20
 
0.9%
{ 3
 
0.1%
（ 2
 
0.1%
Modifier Symbol
ValueCountFrequency (%)
˚ 11
73.3%
` 2
 
13.3%
´ 1
 
6.7%
^ 1
 
6.7%
Space Separator
ValueCountFrequency (%)
266488
> 99.9%
　 2
 
< 0.1%
Final Punctuation
ValueCountFrequency (%)
’ 210
80.5%
” 51
 
19.5%
Initial Punctuation
ValueCountFrequency (%)
“ 44
77.2%
‘ 13
 
22.8%
Letter Number
ValueCountFrequency (%)
Ⅲ 2
50.0%
Ⅱ 2
50.0%
Currency Symbol
ValueCountFrequency (%)
$ 2
66.7%
￠ 1
33.3%
Dash Punctuation
ValueCountFrequency (%)
- 15413
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 1748
100.0%
Control
ValueCountFrequency (%)
 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 1247925
75.8%
Common 397284
 
24.1%
Hangul 484
 
< 0.1%
Greek 23
 
< 0.1%
Han 12
 
< 0.1%

Most frequent character per script

Common
ValueCountFrequency (%)
266488
67.1%
. 27956
 
7.0%
- 15413
 
3.9%
/ 13175
 
3.3%
0 9786
 
2.5%
2 9530
 
2.4%
1 6210
 
1.6%
< 5650
 
1.4%
> 5619
 
1.4%
; 3441
 
0.9%
Other values (93) 34016
 
8.6%
Latin
ValueCountFrequency (%)
e 136178
 
10.9%
t 114085
 
9.1%
i 102753
 
8.2%
a 99193
 
7.9%
n 87709
 
7.0%
o 83694
 
6.7%
r 81249
 
6.5%
s 71794
 
5.8%
c 56940
 
4.6%
l 51700
 
4.1%
Other values (49) 362630
29.1%
Hangul
ValueCountFrequency (%)
ㆍ 231
47.7%
고 29
 
6.0%
딕 29
 
6.0%
바 22
 
4.5%
탕 22
 
4.5%
은 20
 
4.1%
맑 20
 
4.1%
수 10
 
2.1%
모 9
 
1.9%
던 9
 
1.9%
Other values (34) 83
 
17.1%
Han
ValueCountFrequency (%)
遂 1
8.3%
發 1
8.3%
開 1
8.3%
意 1
8.3%
創 1
8.3%
結 1
8.3%
完 1
8.3%
任 1
8.3%
人 1
8.3%
和 1
8.3%
Other values (2) 2
16.7%
Greek
ValueCountFrequency (%)
μ 12
52.2%
Φ 3
 
13.0%
α 3
 
13.0%
γ 2
 
8.7%
φ 1
 
4.3%
β 1
 
4.3%
Ω 1
 
4.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1644211
99.9%
Punctuation 337
 
< 0.1%
Hangul 248
 
< 0.1%
Compat Jamo 236
 
< 0.1%
None 230
 
< 0.1%
CJK Compat 143
 
< 0.1%
Letterlike Symbols 117
 
< 0.1%
Enclosed Alphanum 84
 
< 0.1%
Arrows 43
 
< 0.1%
Geometric Shapes 32
 
< 0.1%
Other values (4) 47
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
266488
16.2%
e 136178
 
8.3%
t 114085
 
6.9%
i 102753
 
6.2%
a 99193
 
6.0%
n 87709
 
5.3%
o 83694
 
5.1%
r 81249
 
4.9%
s 71794
 
4.4%
c 56940
 
3.5%
Other values (83) 544128
33.1%
Compat Jamo
ValueCountFrequency (%)
ㆍ 231
97.9%
ㄴ 3
 
1.3%
ㄷ 1
 
0.4%
ㄱ 1
 
0.4%
Punctuation
ValueCountFrequency (%)
’ 210
62.3%
” 51
 
15.1%
“ 44
 
13.1%
‘ 13
 
3.9%
″ 12
 
3.6%
※ 4
 
1.2%
… 3
 
0.9%
Letterlike Symbols
ValueCountFrequency (%)
℃ 84
71.8%
ℓ 17
 
14.5%
™ 8
 
6.8%
℉ 4
 
3.4%
Å 4
 
3.4%
CJK Compat
ValueCountFrequency (%)
㎛ 42
29.4%
㎥ 28
19.6%
㎠ 17
11.9%
㎜ 9
 
6.3%
㎲ 9
 
6.3%
㎡ 8
 
5.6%
㎏ 8
 
5.6%
㎧ 6
 
4.2%
㎎ 5
 
3.5%
㎝ 3
 
2.1%
Other values (4) 8
 
5.6%
Arrows
ValueCountFrequency (%)
→ 38
88.4%
⇒ 5
 
11.6%
Enclosed Alphanum
ValueCountFrequency (%)
① 29
34.5%
② 26
31.0%
③ 14
16.7%
④ 6
 
7.1%
⑤ 4
 
4.8%
⑥ 2
 
2.4%
ⓒ 1
 
1.2%
ⓐ 1
 
1.2%
ⓑ 1
 
1.2%
Hangul
ValueCountFrequency (%)
고 29
11.7%
딕 29
11.7%
바 22
 
8.9%
탕 22
 
8.9%
은 20
 
8.1%
맑 20
 
8.1%
수 10
 
4.0%
모 9
 
3.6%
던 9
 
3.6%
굴 8
 
3.2%
Other values (30) 70
28.2%
None
ValueCountFrequency (%)
° 27
11.7%
₂ 27
11.7%
× 27
11.7%
² 26
11.3%
® 23
10.0%
± 18
7.8%
· 16
7.0%
μ 12
 
5.2%
³ 12
 
5.2%
₃ 7
 
3.0%
Other values (18) 35
15.2%
Geometric Shapes
ValueCountFrequency (%)
■ 15
46.9%
● 11
34.4%
□ 3
 
9.4%
▶ 3
 
9.4%
Math Operators
ValueCountFrequency (%)
∼ 14
70.0%
∑ 3
 
15.0%
≤ 2
 
10.0%
≥ 1
 
5.0%
Modifier Letters
ValueCountFrequency (%)
˚ 11
100.0%
Number Forms
ValueCountFrequency (%)
Ⅲ 2
50.0%
Ⅱ 2
50.0%
CJK
ValueCountFrequency (%)
遂 1
8.3%
發 1
8.3%
開 1
8.3%
意 1
8.3%
創 1
8.3%
結 1
8.3%
完 1
8.3%
任 1
8.3%
人 1
8.3%
和 1
8.3%
Other values (2) 2
16.7%

카테고리
Categorical

IMBALANCE 

Distinct16
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size14.1 KiB
Equipment
1137 
Technology & Process
341 
Instrument & Chemicals
123 
Eco-Friendly Products
 
87
Energy
 
24
Other values (11)
 
82

Length

Max length27
Median length9
Mean length12.787068
Min length3

Unique

Unique1 ?
Unique (%)0.1%

Sample

1st rowEquipment
2nd rowEquipment
3rd rowEquipment
4th rowEquipment
5th rowTechnology & Process

Common Values

ValueCountFrequency (%)
Equipment 1137
63.4%
Technology & Process 341
 
19.0%
Instrument & Chemicals 123
 
6.9%
Eco-Friendly Products 87
 
4.8%
Energy 24
 
1.3%
Air Treatment 22
 
1.2%
Water Treatment 19
 
1.1%
Evaluation & Analysis 16
 
0.9%
Operating Agents 6
 
0.3%
Recyling 5
 
0.3%
Other values (6) 14
 
0.8%

Length

2023-12-12T15:16:03.150751image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
equipment 1137
39.3%
482
16.6%
process 341
 
11.8%
technology 341
 
11.8%
instrument 123
 
4.2%
chemicals 123
 
4.2%
eco-friendly 87
 
3.0%
products 87
 
3.0%
treatment 41
 
1.4%
energy 24
 
0.8%
Other values (15) 109
 
3.8%

적용 기술
Text

MISSING 

Distinct1183
Distinct (%)88.4%
Missing456
Missing (%)25.4%
Memory size14.1 KiB
2023-12-12T15:16:03.465690image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length195
Median length114
Mean length31.818386
Min length3

Characters and Unicode

Total characters42573
Distinct characters76
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1085 ?
Unique (%)81.1%

Sample

1st rowSterilization of supply water and sewerage
2nd rowFactories to install dust collectors, etc.
3rd rowFactories to install dust collectors, etc.
4th rowOil-contaminated soil
5th rowWaste glasses are reutilized for asphalt, materials for roads after mixing with cement, etc.
ValueCountFrequency (%)
of 300
 
5.2%
treatment 229
 
4.0%
water 216
 
3.8%
and 198
 
3.5%
wastewater 104
 
1.8%
removal 76
 
1.3%
sludge 69
 
1.2%
the 68
 
1.2%
gas 67
 
1.2%
sewage 66
 
1.2%
Other values (1395) 4331
75.7%
2023-12-12T15:16:03.972830image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4395
 
10.3%
e 4321
 
10.1%
t 3523
 
8.3%
a 3214
 
7.5%
i 2782
 
6.5%
n 2772
 
6.5%
r 2659
 
6.2%
o 2577
 
6.1%
s 1826
 
4.3%
l 1688
 
4.0%
Other values (66) 12816
30.1%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 34544
81.1%
Space Separator 4395
 
10.3%
Uppercase Letter 2959
 
7.0%
Other Punctuation 434
 
1.0%
Dash Punctuation 105
 
0.2%
Decimal Number 78
 
0.2%
Close Punctuation 26
 
0.1%
Open Punctuation 26
 
0.1%
Other Letter 2
 
< 0.1%
Final Punctuation 2
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 4321
12.5%
t 3523
10.2%
a 3214
9.3%
i 2782
 
8.1%
n 2772
 
8.0%
r 2659
 
7.7%
o 2577
 
7.5%
s 1826
 
5.3%
l 1688
 
4.9%
c 1272
 
3.7%
Other values (16) 7910
22.9%
Uppercase Letter
ValueCountFrequency (%)
S 302
 
10.2%
C 235
 
7.9%
P 235
 
7.9%
T 224
 
7.6%
M 217
 
7.3%
W 194
 
6.6%
R 192
 
6.5%
A 192
 
6.5%
F 188
 
6.4%
D 151
 
5.1%
Other values (16) 829
28.0%
Decimal Number
ValueCountFrequency (%)
0 21
26.9%
2 17
21.8%
1 15
19.2%
7 8
 
10.3%
6 4
 
5.1%
4 4
 
5.1%
5 4
 
5.1%
3 3
 
3.8%
8 2
 
2.6%
Other Punctuation
ValueCountFrequency (%)
, 298
68.7%
. 63
 
14.5%
/ 33
 
7.6%
& 21
 
4.8%
@ 15
 
3.5%
: 2
 
0.5%
# 1
 
0.2%
; 1
 
0.2%
Space Separator
ValueCountFrequency (%)
4395
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 105
100.0%
Close Punctuation
ValueCountFrequency (%)
) 26
100.0%
Open Punctuation
ValueCountFrequency (%)
( 26
100.0%
Other Letter
ValueCountFrequency (%)
ㆍ 2
100.0%
Final Punctuation
ValueCountFrequency (%)
’ 2
100.0%
Other Symbol
ValueCountFrequency (%)
® 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 37503
88.1%
Common 5068
 
11.9%
Hangul 2
 
< 0.1%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 4321
 
11.5%
t 3523
 
9.4%
a 3214
 
8.6%
i 2782
 
7.4%
n 2772
 
7.4%
r 2659
 
7.1%
o 2577
 
6.9%
s 1826
 
4.9%
l 1688
 
4.5%
c 1272
 
3.4%
Other values (42) 10869
29.0%
Common
ValueCountFrequency (%)
4395
86.7%
, 298
 
5.9%
- 105
 
2.1%
. 63
 
1.2%
/ 33
 
0.7%
) 26
 
0.5%
( 26
 
0.5%
0 21
 
0.4%
& 21
 
0.4%
2 17
 
0.3%
Other values (13) 63
 
1.2%
Hangul
ValueCountFrequency (%)
ㆍ 2
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 42567
> 99.9%
Compat Jamo 2
 
< 0.1%
Punctuation 2
 
< 0.1%
None 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4395
 
10.3%
e 4321
 
10.2%
t 3523
 
8.3%
a 3214
 
7.6%
i 2782
 
6.5%
n 2772
 
6.5%
r 2659
 
6.2%
o 2577
 
6.1%
s 1826
 
4.3%
l 1688
 
4.0%
Other values (63) 12810
30.1%
Compat Jamo
ValueCountFrequency (%)
ㆍ 2
100.0%
Punctuation
ValueCountFrequency (%)
’ 2
100.0%
None
ValueCountFrequency (%)
® 2
100.0%

Missing values

2023-12-12T15:15:57.646055image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T15:15:57.803619image/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.
2023-12-12T15:15:57.920778image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

Sample

제목제품명모델명회사명홈페이지등록일내용카테고리적용 기술
0Deodorizer (Removal of VOC and Odor) using microorganismsBIO-CATHK-BCHanki Industries Co., Ltd.http://www.hanki.co.kr2004-02-201. Outline 1) Microorganisms that oxidize and decompose odor materials and VOCs form bioflims in media that are filled in the reactor. 2) The odor materials and VOCs that are transported to BIO-CAT are adsorbed and absorbed on the surfaces of biofilms. The microorganisms decompose. by oxidation reactions. them into CO2. H2O. and materials that are harmless to human body. 2. Advantages 1) Possible to simultaneously treat odor and VOCs 2) Fast discomposing and minimization of pressure loss 3) Strong durability and low cost of maintenance 4) Maximization of removal efficiency by selecting microorganisms according to odor and VOCs materials 5) Fully automatic operation method 3. Application fields 1) Sewerage. wastewater. and night soil treatment facilities 2) Food waste treatment facilities 3) Fish and meat processing factories 4) Painting and ink processes of automobiles and electronic products 5) Manufacturing processes of solvents. adherents. and synthetic fibers 6) Plastic manufacturing prEquipment<NA>
1UV sterilization unit of supply water and sewerage using ultra fine vibrators and flowing..UV sterilization unit of sewerageUV sterilization unit of sewerageJesagi Hankookhttp://www.jesagi.co.kr2004-03-021. Outline The unit sterilizes E. Coli and other germs in water. using UV lamp that emits rays of 230 ~ 270 nm. 2. Introduction Generation of fine vibration in the inflow water increases the possibility that UV rays contact germs. thereby maximizing sterilization. In particular. pulse vibrator (patented) is used to maximize sterilization(See Fig1). 3. Characteristics 1) Easy maintenance - Easy to maintain: Possible to separate and substitute lamp by opening the top cover only. - Prevent the attachment of foreign materials to quartz sleeves of UV lamp and the formation of scale. 2) Contacting tank of flowing and floating - The plate to lead water flow is of the S character shape. which increases the opportunity for germs to contact UV rays. Thus the sterilization opportunity is increased. 3) The unit can be installed in any places. - The installation area is half of the horizontal type and can be easily installed even in the prior contacting tanks of chlorine sterilization. -Possible to instaEquipmentSterilization of supply water and sewerage
2Cyclone and BagfilterCyclone and BagfilterCYBAGFILTERCF Techhttp://www.cftch.co.kr2004-03-101. Outline The facility is an integrated dust collector that has a bagfilter at the top portion ad a cyclone at the bottom. 2. Introduction 1) Performance of Cybagfilter We developed a cyclone shape of high efficiency by computational analysis using CFD(Computational Fluid Dynamic). Cybagfilter collects 70% of dusts with sub-micron (less than 1 mm) and 95% of dusts with more than 10 mm at the cyclone part. 2) De-dusting system of bagfilter in Cybagfilter - Air line pulse jet is used for de-dusting. - Our company developed various types of air line spray nozzles to improve the de-dusting function. which are most optimal for de-dusting systems. 3. Characteristics 1) The structure is simple and it is possible to install them in a limited space. 2) The dust load in filtration cloth is reduced. 3) It is possible to extend the de-dusting interval 4) We possess the design technology of Compact Hybrid Dust Collector 5) The operation. maintenance. and installation costs are reduced compared to tEquipmentFactories to install dust collectors, etc.
3Dust collectorDust collectorEB-DedusterCF Techhttp://www.cftch.co.kr2004-03-101. Outline EB-Deduster is a dust collector that adopts the advantages of electric dust collection and bag filtering. EB-Deduster is developed to maintain the dust collection efficiency by using the advantages and to reduce the operation cost. 2. Introduction In the entrance of EB-Deduster. a corona discharging area is installed for dusts to be charged with negative charges. The charged particles are collected on the surface of filtration clothes by electrostatic attraction. The density reduction of the dust layer formed there reduces the pressure loss. Thus. the density reduction increases the dust collection efficiency of fine dusts with less than 1 mm. 3. Characteristics 1) The remnant pressure loss is reduced by 30% 2) The de-dusting interval is extended by more than twice 3) The life time of filtration cloths is extended by more than twice. 4) It is possible to save the energy consumption by about 15%. 5) The dust collection efficiency of fine dust particles is improved by about 5% 6) IEquipmentFactories to install dust collectors, etc.
4Soil environmentBusiness of conserving soil environmentSoil environmentDongmyeong Enterprisehttp://www.dm-ent.co.kr2004-03-111. Outline Restoration of contaminated soil using microorganisms treat contaminated soil biologically without incinerating the soil contaminated with oil or bringing soil from other places. 2. Introduction Biological decomposition processes of contaminated soil using microorganisms 3. Characteristics 1) Restoration using microorganisms allow in-situ treatment. Thus wide contaminated areas can be treated economically and effectively. 2) The soil restoration period can be minimized. 3) Biological reaction by microorganisms is continuous and accelerated. Thus. when this method is used repeatedly. the treatment speed is increased and the secondary contamination can be prevented. 4) Since restoration can occur as the underground water flows. there is the effect of additional restoration. 4. Application Oil-contaminated soilTechnology & ProcessOil-contaminated soil
5Waste glass recycling systemWaste glass recycling systemWaste glass recycling systemE and Rhttp://www.enr21.com2004-03-111. Outline The apparatus uses waste glasses or various glasses that are mixed with other materials to make round-edged glass powder or chips using several processes.(See Fig.1) 2. Introduction Metals. plastics. and papers are removed without manual works (the size range is 1 to 10 mm). The particles that are went through the processes are used for glassphalt. filtration. drainage. Abrasives. landscaping. etc. 3. Characteristics 1) Flexible impact mechanism - Prevent wear and abrasion of the part related to the grinder (patented technology) 2) Heavy duty bearing - They are isolated from other parts and closed in a case. The wearing parts can be easily substituted. 3) Each of glass pulverizer. two conveyors. and trommel separator includes metering surge hopper. 4) Pulverization system of high shock - Different from other facilities. this system makes other grinding processes unnecessary. Also since the system generates round-edged glass particles. it is easy to apply the final products for variEquipmentWaste glasses are reutilized for asphalt, materials for roads after mixing with cement, etc.
6PVC dual pipePVC dual pipePVC dual pipeNuvotec. Co., Ltd.http://www.nuvotec.co.kr2004-03-121. Outline PVC dual pipe having a rubber ring inserted into a pipe. This product is used for public sewage pipes or sewage and rainwater pipes for apartment. etc. 2. Introduction(See Figure) 3. Characteristics 1) Good strength: Have the highest pipe stiffness as a ductility sewage pipe (over 8kgf/cm² in case of PVC dual wall pipe 5% change on the basis of KS) 2) Good constructability 3) Good water tightness: Guarantee water tightness with a rubber ring joint. 4) Suitable for environmental protection: Prevent introduction of underground water and contamination of soil. Can be recycled as pure plastic products. 5) Chemical-resistant: Resistant to various chemicals such as acid. alkali. etc.. impossible bacteria inhabitation. 6) Creep properties: PVC dual wall pipe is very low in the creep property compared to HDPE. Thus. PVC dual wall pipe has almost no transformation even after a long time. but HDPE is weak in a long-tern weight and is easily transformed. 7) Rubber ring: EPDM material of gooEquipmentSewage and rainwater tributary pipes for public sewage, etc.
7Advanced oxidization processAdvanced oxidization processTANK MANDOOHAP CLEANTECH CO.LTDhttp://www.doohap.co.kr2004-03-15Water treatment apparatus through advanced oxidization process &amp;#8211; using ozone and ultraviolet 1. Outline The apparatus removes difficult-to-decompose contaminants in water by oxidative decomposition by using intermediate products called the OH radical that are formed by the reaction of ozone with UV. The present apparatus performs water purification while floating on the surface of the storage tank. and forms a water purification unit integrally with the ozone filter. 2. Introduction TANK MAN&amp;reg; is an apparatus for enhancing an inefficient production power of OH radicals that are generated by an existing AOP in which air is blown in a minute bubble state from the bottom in a state where an ultraviolet rays lamp is simply put into a water tank. Fine bubble containing ozone is blown into the bottom of the apparatus that is floated. Air bubbles that are floated upwardly are then introduced into a reactor of a tunnel shape and are brought into contact with ultraviolet rays illuminated fromEquipmentApartments, school, emergency water supply, public facilities and the like, etc.
8PCF FILTERPore control fiber filterPCF FILTERRAPHATECH CO.http://www.env2000.co.kr2004-03-151. Outline It means the pore control fiber filter. It is made by compressing micro-soft fiber bundles with a rotary unit or compression packs to make pores small. which is then filtered. Afterward. its pores are made large by making it relaxed to back-wash with pressured air or water. It is a new filter that combines the precision filtration function of cartridge and the back-washing function of sandfilter. 2. Introduction(See fig 1. table 1) 3. Characteristics 1) High efficiency and good water quality - Active sludge-treated water base. efficiency: over 95% and water quality: 5ppm or less 2) Subminiature. light weight and cheap - volume 1/5 or less. weight (including filter medium) 1/10 or less compared to rapid S.F 3) Long Back-wash time and less back-wash water - Back-wash time: 2~5 minutes. the quantity of back-wash: around 2~5% 4) Long filter medium life and easy exchange - pp. Nylon material. Exchange within ten minutes of filter module 5) Automatic product - When reaching a set pressEquipmentFiltering of sewage/foul water/wastewater, and heavy water-treated recycled water, etc.
9AIR BAG FILTERAIR BAG FILTERPULSE AIR BAG FILTERSAMTOP ENGINEERING CO., LTD.http://www.hisamtop.co.kr2004-03-171. Outline Structure: The air containing dust is introduced into the inside of the housing through the duct by compression or absorption and dusts are attached to the surface of the filtration tube and the filtered clean air pass through the inside of the filtration tube to be discharged through the exit on the top of the tube. 2. Introduction Structure: vapor is introduced into a housing through a duct by means of sending or inhalation. Dust is adhered on the surface of the filtration tube. The filtered clean air passes through the filtration tube and is the exhausted through an upper exit. Dust adhered on the surface of the filtration tube is automatically consecutively cleaned by a cleaning device of a pulse-jet mode. Dust is collected on a lower hopper and is then exhausted through an exhaust device. As the filter is not changed in pressure and airflow due to instant cleaning (0.005 ~ 0.1 second). it can consecutively move in a stable state. The operating principle of the pulsejet mode: AirEquipmentDust collecting equipment
제목제품명모델명회사명홈페이지등록일내용카테고리적용 기술
1784Oxidation Flushing TypeOxidation Flushing TypeOxidation Flushing TypeMAThttp://www.mat.co.kr/2018-12-28<h2 class="prod_h2"><span class="h2Top">Oxidation Flushing Type</span><br /> MAT507BW&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </h2> <div class="prodInfo"> <ul class="smell01List"> <li>Thermal-Wet system with compact design</li> <li>Redundant Heating System with high performance</li> <li>Good solubility with long gas path design for wet chamber down-up<br />gas flow </li> <li>Burn/Wet chamber easy separation device</li> <li>Easy Operation and Maintenance with PM &amp; Cleaning</li> <li>Automatic PLC control with Touch screen</li> <li>Certified CE Mark. “S” Mark. Semi S2</li></ul></div> <div>&nbsp;</div> <div class="prodArea03"> <div class="prodArea03_txt"> <ul class="smell01List"> <li><strong>Power :</strong> A/C 200~240V. 1phase. 60Amp</li> <li><strong>CDA :</strong> 4~7kgf/cm²(60slm). 3/8″Tube</li> <li><strong>N₂: </strong> 4~7kgf/cm²(30slm). 1/4″Tube(Optional)</li> <li><strong>PCW :</strong> 3~5kgf/cm²(4ℓ/min). 1/2″Tube(Optional)</li> <li><strong>City Water :</strong> 3~5kgf/cm²(3ℓ/min).Air Treatment<NA>
1785Flushing Type MAT403WFlushing Type MAT403WFlushing Type MAT403WMAThttp://www.mat.co.kr2018-12-28<h3 class="prod_h3">&nbsp;</h3> <ul class="smell01List"> <li>Wet type system</li> <li>Inlet anti clogging System</li> <li>Safety design with metal core frame and reinforced plastic</li> <li>Dual path design with high efficiency for Wet Chamber</li> <li>PLC control with Automatic system</li> <li>Certified Semi S2 Mark</li></ul> <div>&nbsp;</div> <div>&nbsp;</div> <li><strong>Power : </strong>A/C 200~240V. 3phase. 15Amp</li> <li><strong>N₂:</strong> 4~7kgf/cm²(20slm). 1/4″Tube(Optional)</li> <li><strong>City Water : </strong>3~5kgf/cm²(3ℓ/min). 3/8″Tube</li> <li><strong>Gas Inlet : </strong>NW50 Flange 4ports</li> <li><strong>Drain : </strong>Acid Drain <strong>1)</strong> Natural Drain : 40A PVC Pipe <strong class="left110">2)</strong> Power Drain : 26mm PVC Pipe</li> <li><strong>Gas Exhaust :</strong> -50~-100mmH<sub><font size="2">2</font></sub>O. 1m³/min. 76mm PVC Pipe</li> <li><strong>Cabinet Exhaust :</strong> -50mmH<sub><font size="2">2</font></sub>O. 1m³/min. Φ100mm(OptionAir Treatment<NA>
1786Semi-dry Type MAT551SDESemi-dry Type MAT551SDESemi-dry Type MAT551SDEMAThttp://www.mat.co.kr2018-12-28<li>Semi-Dry type with Ion Exchange Fiber</li> <li>Minimal of water consumption and waste water generation</li> <li>Non-consumable capacity</li> <li>No mist system from duct corrosion and wetting zone</li> <li>Certified Semi S2 Mark</li> <div>&nbsp;</div> <li><strong>Power :</strong> A/C 200~240V. 1phase. 10Amp</li> <li><strong>CDA : </strong>4~7kgf/cm² (Drain Pump Activation. 3/8”Tube)</li> <li><strong>City Water :</strong> 3~5kgf/cm². 1/2″Tube (500ℓ/month)</li> <li><strong>Gas Inlet : </strong> NW50 Flange(up to 4ports)</li> <li><strong>Drain :</strong> PT 3/4”. Acid Drain</li> <li><strong>Gas Exhaust : </strong>-50~-100mmH<sub><font size="2">2</font></sub>O. 1m³/min . 65A PVC Pipe</li> <div>&nbsp;</div>Air Treatment<NA>
1787Flushing Type MAT502WFlushing Type MAT502WFlushing Type MAT502WMAThttp://www.mat.co.kr/2018-12-28<div>&nbsp;</div> <li>Wet type Scrubber for Epi Process</li> <li>4 Chamber in system with multi-stage Treatment</li> <li>Venturi water nozzle system with long gas pass (Wetting zone) design</li> <li>Inlet anti clogging System</li> <li>Automatic PLC control with Touch screen</li> <li>Certified CE Mark</li> <div>&nbsp;</div> <li><strong>Power : </strong>A/C 200~240V. 3phase. 15Amp</li> <li><strong>N₂:</strong> 4~7kgf/cm²(15slm). 1/4″Swagelok. Inlet Purge</li> <li><strong>City Water :</strong> 3~5kgf/cm²(8ℓ/min). 1/2″PVC Pipe</li> <li><strong>Gas Inlet :</strong> NW50 Flange NW40</li> <li><strong>Drain :</strong> Acid Drain&nbsp; &nbsp;<strong> 1)</strong> Natural Drain : 40A PVC Pipe &nbsp; <strong class="left110">2)</strong> Power Drain : 26mm PVC Pipe</li> <li><strong>Gas Exhaust : </strong>-50~-100mmH<sub><font size="2">2</font></sub>O. 1m³/min. 50mm PVC Pipe</li> <li><strong>Cabinet Exhaust :</strong> -50mmH<sub><font size="2">2</font></sub>O. 1m³/min. 75mm PVC Pipe</li> <div>&nbsp;</div>Air Treatment<NA>
1788FCTO700WFCTO700WFCTO700WMAThttp://www.mat.co.kr/2018-12-28<li>Flameless Catalytic Thermal Oxidizer</li> <li>Minimize NOx emission and Carbon dioxide</li> <li>Increased efficiency for NF<sub><font size="2">3</font></sub>. SF<sub><font size="2">6</font></sub> of PFC Gas</li> <li>High temperature accumulate at catalyst<br /> (Stable gas removal efficiency vs. Flow rate fluctuation)</li> <li>Excellent for 2nd byproducts of odors</li> <li>Self heat recovery system makes Energy Saving with low running cost</li> <li>Easy Maintenance with PM and Cleaning. No need to chamber open</li> <li>Automatic PLC control with Touch screen </li> <li>Certified CE Mark</li> <div>&nbsp;</div> <div>&nbsp;</div> <li><strong>Power :</strong> A/C 200~240V. 1phase. 60Amp </li> <li><strong>CDA :</strong> 4~7kgf/cm²(200slm). 1/2″Tube</li> <li><strong>N₂: </strong>4~7kgf/cm²(30slm). 1/4″Tube</li> <li><strong>LNG : </strong>1~3 kgf/cm²(5ℓ/min). 3/8″Tube</li> <li><strong>City Water : </strong>3~5 kgf/cm²(2ℓ/min). 3/8″Tube</li> <li><strong>Gas Inlet : </strong>NW50 FlangeAir Treatment<NA>
1789Centrifugal PumpDouble Suction Volume PumpSGD - Double Suction Volute PumpShin Gwang Co. Ltdwww.en.sgpumpco.com2019-08-01<div style="line-height: 14.4px; text-indent: 0in; margin-top: 0pt; margin-bottom: 0pt; margin-left: 0in; vertical-align: middle; unicode-bidi: embed; direction: ltr"><span style='letter-spacing: 0pt; font-family: &quot;Rix모던고딕 B&quot;; font-size: 8pt; vertical-align: baseline'>1. PRODUCT&nbsp;</span><span style='letter-spacing: 0pt; font-family: &quot;Rix모던고딕 B&quot;; font-size: 8pt; vertical-align: baseline'>DESIGN &amp; CHARACTERISTICS</span><span style='letter-spacing: 0pt; font-family: &quot;Rix모던고딕 L&quot;; font-size: 8pt; vertical-align: baseline'><br /></span><span style='letter-spacing: 0pt; font-family: &quot;Rix모던고딕 L&quot;; font-size: 8pt; vertical-align: baseline'>&nbsp;&nbsp;&nbsp;-&nbsp;</span><span style='letter-spacing: 0pt; font-family: &quot;Rix모던고딕 L&quot;; font-size: 8pt; vertical-align: baseline'>High Efficiency Pump(Max 90%)<br /></span><span style='letter-spacing: 0pt; font-family: &quot;Rix모던고딕 L&quot;; font-size: 8pt; vertical-align: baseline'>&nbsp;&nbsp;&nbsp;-&nbsp;</span><span stWater TreatmentPower Plant, Water Intake Plant, Waste Water treatment, Papermaking Plant, Petrochemical Plant, Waste Water Treatment Plant, Desalination Plant, Drainage Pump, Flood Control, Irrigation Pump
1790Water Filter Total AgencyHigh Capacity Reverse Osmosis SystemSYRO-7, SYRO-10, SYRO-20, SYRO-40, SYRO-60, SYRO-80, SYRO-100Suyeon Technology Co. Ltdwww.myfilter.co.kr2019-08-07<div style="text-align: left; line-height: 120%; text-indent: 0in; margin-top: 0pt; margin-bottom: 0pt; margin-left: 0in; vertical-align: middle; unicode-bidi: embed; direction: ltr; language: ko; mso-line-break-override: none; punctuation-wrap: hanging"><span style='color: black; letter-spacing: 0pt; font-family: &quot;Rix모던고딕 B&quot;; font-size: 8pt; font-weight: normal; vertical-align: baseline; language: en-US; mso-ascii-font-family: &quot;Rix모던고딕 B&quot;; mso-fareast-font-family: &quot;Rix모던고딕 B&quot;; mso-bidi-font-family: +mn-cs; mso-bidi-theme-font: minor-bidi; mso-color-index: 1; mso-font-kerning: 1.0pt; mso-text-raise: 0%; mso-style-textoutline-type: solid; mso-style-textoutline-fill-themecolor: accent1; mso-style-textoutline-fill-color: #41719C; mso-style-textoutline-fill-alpha: 0%; mso-style-textoutline-outlinestyle-dash: solid; mso-style-textoutline-outlinestyle-join: round; mso-style-textoutline-outlinestyle-dpiwidth: .75pt; mso-style-textoutline-outlinestyle-linecap: flat; mso-style-textoutlineWater TreatmentConstruction, household water purification, machinery/electronics, chemical/pharmaceutical, hotel, school etc.
1791Fertilizers for cropsSpecial grade yeast fertilizer<NA>Hanbat Fertilizer Co., Ltdwww.hanbatbr.co.kr2020-08-21<div><span style="font-size: 12px"><b>&nbsp;1. PRODUCT DESIGN &amp; CHARACTERISTIC</b></span></div> <div><span style="font-size: 12px">&nbsp; - This product decreases the acidity levels of the soil and dissolves remaining pesticides and fertilizers</span></div> <div><span style="font-size: 12px">&nbsp; - Not advisable to be mixed with pesticides</span></div> <div><span style="font-size: 12px">&nbsp; - Must be applied 8 to 10 days prior to planting if used for greenhouse plants</span></div> <div><br /></div> <div><span style="font-size: 12px"><b>&nbsp;2. PERFORMANCE OF RANGE</b></span></div> <div><span style="font-size: 12px">&nbsp;- Ingredient content: Cow manure 25%. poultry manure 20%. pig manure 6%.&nbsp;</span></div> <div><span style="font-size: 12px">&nbsp; &nbsp;sawdust 25%. tree bark 15%. palm oil meal 5%. mushroom medium 3%.</span></div> <div><span style="font-size: 12px">&nbsp; &nbsp;microorganism product 1%</span></div> <div><br /></div> <div><b>&nbsp;3. STRONG POINT</b></div> <div><spanEco-Friendly ProductsVegetable, fruit, tree, shrubbery, flower
1792Polypropylene(PP) CompoundTechnology for recycling PP/GF20% for the production of external car parts<NA>Greenpol Ltd.www.greenpol.co.kr2020-08-21<div><b>1. PRODUCT DESIGN &amp; CHARACTERISTIC</b></div> <div>1) Polypropylene(PP) Compound</div> <div>- Technology for recycling household packaging waste using solvent with particle disintegrating technology</div> <div>- Development of deodorizing compounds for recycled polyolefin&nbsp;</div> <div>- Development of electrically-conductive PP material</div> <div>- Recycling technology for discarded vehicle bumper</div> <div>- Production of vehicle accessory materials using plastic PP waste</div> <div>- PP / GF compound</div> <div><br /></div> <div><b><br /></b></div> <div><b>2. PERFORMANCE OF RANGE</b></div> <div>- PP Resin with adjusted MFR rates (MFR: 10 ~ 15)</div> <div>- High MI PP Resin (MFR&gt; 20)</div> <div>- Multiple PP for exterior automotive parts: resin for bumper (TPO)</div> <div>- PP / Talc compound</div> <div>- PP / GF compound</div> <div><br /></div> <div><b><br /></b></div> <div><b>3. STRONG POINT</b></div> <div>-&nbsp;Outstanding plastic recycling technology </div> <div>-Waste ManagementBumper coating, Mud Guard, Bumper bracket, Heater case, Inlet and exhaust box, chair
1793Odor Measurement and Monitoring Field-type SensorAWMS-2000<NA>ACEN Co., Ltd.www.e-acen.com2020-08-25<div><b>1. PRODUCT DESIGN &amp; CHARACTERISTIC</b></div> <div>&nbsp;- AWMS-2000 is a monitoring system that utilizes a built-in substance analyzer</div> <div>&nbsp;- Built-in sensor and analyzer are capable of 24 hrs monitoring and analyzing operation&nbsp;</div> <div>&nbsp;- Applicable for the simultaneous field monitoring and control of major odor causing substances</div> <div>&nbsp;- Provides real time measurement of the odor source and more detailed information</div> <div><br /></div> <div><br /></div> <div><b>&nbsp;2. PERFORMANCE OF RANGE</b></div> <div>&nbsp;- Connection: Cable / CDMA wireless communication</div> <div>&nbsp;- Screen size: 8" Touch operating type(Tablet PC)</div> <div>&nbsp;- Temperature operation range: -20℃ ~ 65℃</div> <div>&nbsp;- Dimensions (W×H×D): 630×1.700×550 mm</div> <div><br /></div> <div>&nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp;</div> <div><b>&nbsp;3. STRONG POINT</b></div> <div>&nbsp;- Real time measurement of both digital sensor and analyzer provides more accuAir Treatmentodor measurement & analysis equipment