Overview

Dataset statistics

Number of variables12
Number of observations10000
Missing cells48169
Missing cells (%)40.1%
Duplicate rows10
Duplicate rows (%)0.1%
Total size in memory1.0 MiB
Average record size in memory106.0 B

Variable types

Unsupported3
Text7
Categorical1
DateTime1

Dataset

Description한국세라믹기술원 세라믹소재정보은행의 카탈로그 정보입니다.
Author한국세라믹기술원
URLhttps://www.data.go.kr/data/15072101/fileData.do

Alerts

Dataset has 10 (0.1%) duplicate rowsDuplicates
생성자 is highly imbalanced (85.2%)Imbalance
영문회사명 has 8817 (88.2%) missing valuesMissing
회사홈페이지 has 107 (1.1%) missing valuesMissing
카탈로그설명 has 9890 (98.9%) missing valuesMissing
생성일자 has 9346 (93.5%) missing valuesMissing
수정자 has 10000 (100.0%) missing valuesMissing
수정일자 has 10000 (100.0%) missing valuesMissing
카탈로그 is an unsupported type, check if it needs cleaning or further analysisUnsupported
수정자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
수정일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2023-12-12 12:31:53.588352
Analysis finished2023-12-12 12:31:55.386379
Duration1.8 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

카탈로그
Unsupported

REJECTED  UNSUPPORTED 

Missing0
Missing (%)0.0%
Memory size156.2 KiB

제품명
Text

Distinct883
Distinct (%)8.8%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-12T21:31:55.692900image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length75
Median length65
Mean length28.6694
Min length1

Characters and Unicode

Total characters286694
Distinct characters152
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

Unique542 ?
Unique (%)5.4%

Sample

1st rowLAP-L
2nd rowCement resistors
3rd rowMultilayer ceramic capacitor
4th rowMultilayer ceramic capacitor
5th rowMiniature aluminum electrolytic capacitors(low profile)
ValueCountFrequency (%)
capacitor 3385
 
9.8%
ceramic 3256
 
9.4%
multilayer 3052
 
8.8%
resistors 2139
 
6.2%
film 2108
 
6.1%
chip 1133
 
3.3%
capacitors 920
 
2.7%
metallized 850
 
2.5%
and 729
 
2.1%
ac 709
 
2.0%
Other values (989) 16308
47.1%
2023-12-12T21:31:56.368615image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
i 26375
 
9.2%
24625
 
8.6%
r 24140
 
8.4%
a 23750
 
8.3%
e 23370
 
8.2%
c 20890
 
7.3%
l 17546
 
6.1%
t 17393
 
6.1%
o 14899
 
5.2%
s 14182
 
4.9%
Other values (142) 79524
27.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 237329
82.8%
Space Separator 24625
 
8.6%
Uppercase Letter 19179
 
6.7%
Close Punctuation 1463
 
0.5%
Open Punctuation 1463
 
0.5%
Decimal Number 1082
 
0.4%
Dash Punctuation 885
 
0.3%
Other Punctuation 331
 
0.1%
Other Letter 257
 
0.1%
Letter Number 55
 
< 0.1%
Other values (4) 25
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
질 15
 
5.8%
카 12
 
4.7%
쉬 11
 
4.3%
연 11
 
4.3%
러 11
 
4.3%
흑 11
 
4.3%
본 11
 
4.3%
브 11
 
4.3%
수 9
 
3.5%
탄 9
 
3.5%
Other values (53) 146
56.8%
Lowercase Letter
ValueCountFrequency (%)
i 26375
11.1%
r 24140
10.2%
a 23750
10.0%
e 23370
9.8%
c 20890
8.8%
l 17546
7.4%
t 17393
7.3%
o 14899
 
6.3%
s 14182
 
6.0%
p 12165
 
5.1%
Other values (18) 42619
18.0%
Uppercase Letter
ValueCountFrequency (%)
M 4230
22.1%
C 3621
18.9%
A 1459
 
7.6%
S 1441
 
7.5%
P 1001
 
5.2%
T 927
 
4.8%
L 804
 
4.2%
N 700
 
3.6%
I 680
 
3.5%
D 655
 
3.4%
Other values (16) 3661
19.1%
Decimal Number
ValueCountFrequency (%)
0 306
28.3%
5 146
13.5%
1 125
11.6%
2 117
 
10.8%
6 99
 
9.1%
3 72
 
6.7%
7 69
 
6.4%
8 62
 
5.7%
4 56
 
5.2%
9 30
 
2.8%
Other Punctuation
ValueCountFrequency (%)
. 140
42.3%
/ 89
26.9%
' 30
 
9.1%
, 29
 
8.8%
% 25
 
7.6%
? 15
 
4.5%
& 2
 
0.6%
# 1
 
0.3%
Letter Number
ValueCountFrequency (%)
Ⅱ 23
41.8%
Ⅲ 14
25.5%
Ⅳ 8
 
14.5%
Ⅰ 6
 
10.9%
Ⅴ 3
 
5.5%
Ⅵ 1
 
1.8%
Other Symbol
ValueCountFrequency (%)
® 10
58.8%
™ 4
 
23.5%
㎛ 3
 
17.6%
Other Number
ValueCountFrequency (%)
₃ 1
50.0%
₄ 1
50.0%
Space Separator
ValueCountFrequency (%)
24625
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1463
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1463
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 885
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 4
100.0%
Math Symbol
ValueCountFrequency (%)
+ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 256559
89.5%
Common 29874
 
10.4%
Hangul 257
 
0.1%
Greek 4
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
질 15
 
5.8%
카 12
 
4.7%
쉬 11
 
4.3%
연 11
 
4.3%
러 11
 
4.3%
흑 11
 
4.3%
본 11
 
4.3%
브 11
 
4.3%
수 9
 
3.5%
탄 9
 
3.5%
Other values (53) 146
56.8%
Latin
ValueCountFrequency (%)
i 26375
10.3%
r 24140
 
9.4%
a 23750
 
9.3%
e 23370
 
9.1%
c 20890
 
8.1%
l 17546
 
6.8%
t 17393
 
6.8%
o 14899
 
5.8%
s 14182
 
5.5%
p 12165
 
4.7%
Other values (48) 61849
24.1%
Common
ValueCountFrequency (%)
24625
82.4%
) 1463
 
4.9%
( 1463
 
4.9%
- 885
 
3.0%
0 306
 
1.0%
5 146
 
0.5%
. 140
 
0.5%
1 125
 
0.4%
2 117
 
0.4%
6 99
 
0.3%
Other values (19) 505
 
1.7%
Greek
ValueCountFrequency (%)
α 3
75.0%
β 1
 
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 286359
99.9%
Hangul 257
 
0.1%
Number Forms 55
 
< 0.1%
None 16
 
< 0.1%
Letterlike Symbols 4
 
< 0.1%
CJK Compat 3
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
i 26375
 
9.2%
24625
 
8.6%
r 24140
 
8.4%
a 23750
 
8.3%
e 23370
 
8.2%
c 20890
 
7.3%
l 17546
 
6.1%
t 17393
 
6.1%
o 14899
 
5.2%
s 14182
 
5.0%
Other values (66) 79189
27.7%
Number Forms
ValueCountFrequency (%)
Ⅱ 23
41.8%
Ⅲ 14
25.5%
Ⅳ 8
 
14.5%
Ⅰ 6
 
10.9%
Ⅴ 3
 
5.5%
Ⅵ 1
 
1.8%
Hangul
ValueCountFrequency (%)
질 15
 
5.8%
카 12
 
4.7%
쉬 11
 
4.3%
연 11
 
4.3%
러 11
 
4.3%
흑 11
 
4.3%
본 11
 
4.3%
브 11
 
4.3%
수 9
 
3.5%
탄 9
 
3.5%
Other values (53) 146
56.8%
None
ValueCountFrequency (%)
® 10
62.5%
α 3
 
18.8%
β 1
 
6.2%
₃ 1
 
6.2%
₄ 1
 
6.2%
Letterlike Symbols
ValueCountFrequency (%)
™ 4
100.0%
CJK Compat
ValueCountFrequency (%)
㎛ 3
100.0%

분류코드
Text

Distinct158
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-12T21:31:56.651853image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length10
Mean length9.975
Min length4

Characters and Unicode

Total characters99750
Distinct characters11
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique79 ?
Unique (%)0.8%

Sample

1st row6000000000
2nd row1050101040
3rd row1040301010
4th row1040301010
5th row1040301030
ValueCountFrequency (%)
1040301010 3060
30.6%
1040301020 1187
 
11.9%
1020100000 671
 
6.7%
1050101050 627
 
6.3%
6000000000 574
 
5.7%
1050101060 470
 
4.7%
1020206000 452
 
4.5%
1040301030 407
 
4.1%
1050101022 373
 
3.7%
1040301060 354
 
3.5%
Other values (148) 1825
18.2%
2023-12-12T21:31:57.111560image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 54071
54.2%
1 23805
23.9%
3 6026
 
6.0%
4 5907
 
5.9%
2 4415
 
4.4%
5 3389
 
3.4%
6 1894
 
1.9%
7 127
 
0.1%
8 94
 
0.1%
9 20
 
< 0.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 99748
> 99.9%
Uppercase Letter 2
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 54071
54.2%
1 23805
23.9%
3 6026
 
6.0%
4 5907
 
5.9%
2 4415
 
4.4%
5 3389
 
3.4%
6 1894
 
1.9%
7 127
 
0.1%
8 94
 
0.1%
9 20
 
< 0.1%
Uppercase Letter
ValueCountFrequency (%)
A 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 99748
> 99.9%
Latin 2
 
< 0.1%

Most frequent character per script

Common
ValueCountFrequency (%)
0 54071
54.2%
1 23805
23.9%
3 6026
 
6.0%
4 5907
 
5.9%
2 4415
 
4.4%
5 3389
 
3.4%
6 1894
 
1.9%
7 127
 
0.1%
8 94
 
0.1%
9 20
 
< 0.1%
Latin
ValueCountFrequency (%)
A 2
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 99750
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 54071
54.2%
1 23805
23.9%
3 6026
 
6.0%
4 5907
 
5.9%
2 4415
 
4.4%
5 3389
 
3.4%
6 1894
 
1.9%
7 127
 
0.1%
8 94
 
0.1%
9 20
 
< 0.1%

영문회사명
Text

MISSING 

Distinct167
Distinct (%)14.1%
Missing8817
Missing (%)88.2%
Memory size156.2 KiB
2023-12-12T21:31:57.558259image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length50
Median length35
Mean length17.529163
Min length1

Characters and Unicode

Total characters20737
Distinct characters69
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique62 ?
Unique (%)5.2%

Sample

1st rowL-STONE
2nd rowSamsung Electro-Mechanics
3rd rowSamwha Capacitor
4th rowDure Materials Services
5th rowInno Chips Technology
ValueCountFrequency (%)
samsung 247
 
10.2%
electro-mechanics 247
 
10.2%
samwha 98
 
4.0%
capacitor 98
 
4.0%
technology 73
 
3.0%
refractories 62
 
2.6%
chosun 60
 
2.5%
co.,ltd 57
 
2.3%
materials 50
 
2.1%
dongil 46
 
1.9%
Other values (232) 1393
57.3%
2023-12-12T21:31:58.206242image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1597
 
7.7%
1301
 
6.3%
e 1252
 
6.0%
c 1209
 
5.8%
o 1157
 
5.6%
n 1090
 
5.3%
r 950
 
4.6%
s 841
 
4.1%
i 810
 
3.9%
t 779
 
3.8%
Other values (59) 9751
47.0%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 13406
64.6%
Uppercase Letter 5464
26.3%
Space Separator 1301
 
6.3%
Dash Punctuation 303
 
1.5%
Other Punctuation 241
 
1.2%
Other Letter 13
 
0.1%
Decimal Number 7
 
< 0.1%
Other Symbol 2
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 1597
11.9%
e 1252
9.3%
c 1209
9.0%
o 1157
 
8.6%
n 1090
 
8.1%
r 950
 
7.1%
s 841
 
6.3%
i 810
 
6.0%
t 779
 
5.8%
h 699
 
5.2%
Other values (15) 3022
22.5%
Uppercase Letter
ValueCountFrequency (%)
S 681
12.5%
E 565
10.3%
C 563
10.3%
M 487
8.9%
A 390
 
7.1%
T 385
 
7.0%
N 333
 
6.1%
I 318
 
5.8%
L 283
 
5.2%
O 257
 
4.7%
Other values (15) 1202
22.0%
Other Letter
ValueCountFrequency (%)
중 2
15.4%
국 2
15.4%
언 1
7.7%
노 1
7.7%
미 1
7.7%
루 1
7.7%
텍 1
7.7%
이 1
7.7%
사 1
7.7%
웰 1
7.7%
Other Punctuation
ValueCountFrequency (%)
. 146
60.6%
, 76
31.5%
& 19
 
7.9%
Other Symbol
ValueCountFrequency (%)
™ 1
50.0%
® 1
50.0%
Space Separator
ValueCountFrequency (%)
1301
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 303
100.0%
Decimal Number
ValueCountFrequency (%)
4 7
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 18870
91.0%
Common 1854
 
8.9%
Hangul 13
 
0.1%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 1597
 
8.5%
e 1252
 
6.6%
c 1209
 
6.4%
o 1157
 
6.1%
n 1090
 
5.8%
r 950
 
5.0%
s 841
 
4.5%
i 810
 
4.3%
t 779
 
4.1%
h 699
 
3.7%
Other values (40) 8486
45.0%
Hangul
ValueCountFrequency (%)
중 2
15.4%
국 2
15.4%
언 1
7.7%
노 1
7.7%
미 1
7.7%
루 1
7.7%
텍 1
7.7%
이 1
7.7%
사 1
7.7%
웰 1
7.7%
Common
ValueCountFrequency (%)
1301
70.2%
- 303
 
16.3%
. 146
 
7.9%
, 76
 
4.1%
& 19
 
1.0%
4 7
 
0.4%
™ 1
 
0.1%
® 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 20722
99.9%
Hangul 13
 
0.1%
Letterlike Symbols 1
 
< 0.1%
None 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1597
 
7.7%
1301
 
6.3%
e 1252
 
6.0%
c 1209
 
5.8%
o 1157
 
5.6%
n 1090
 
5.3%
r 950
 
4.6%
s 841
 
4.1%
i 810
 
3.9%
t 779
 
3.8%
Other values (46) 9736
47.0%
Hangul
ValueCountFrequency (%)
중 2
15.4%
국 2
15.4%
언 1
7.7%
노 1
7.7%
미 1
7.7%
루 1
7.7%
텍 1
7.7%
이 1
7.7%
사 1
7.7%
웰 1
7.7%
Letterlike Symbols
ValueCountFrequency (%)
™ 1
100.0%
None
ValueCountFrequency (%)
® 1
100.0%

국문회사명
Text

Distinct196
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-12T21:31:58.652309image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length50
Median length5
Mean length5.9046
Min length1

Characters and Unicode

Total characters59046
Distinct characters230
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique60 ?
Unique (%)0.6%

Sample

1st row엘스톤
2nd row스마트전자㈜
3rd row필코전자㈜
4th row필코전자㈜
5th row삼영전자공업(주)
ValueCountFrequency (%)
필코전자㈜ 4328
41.5%
스마트전자㈜ 1364
 
13.1%
한륙전자㈜ 611
 
5.9%
삼화전자공업㈜ 482
 
4.6%
삼영전자공업(주 407
 
3.9%
에스아이알㈜ 354
 
3.4%
삼화전기㈜ 284
 
2.7%
아비코전자㈜ 282
 
2.7%
삼성전기 185
 
1.8%
㈜쎄라텍 182
 
1.7%
Other values (241) 1939
18.6%
2023-12-12T21:31:59.183642image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
㈜ 8297
14.1%
전 8080
13.7%
자 7551
 
12.8%
코 4642
 
7.9%
필 4328
 
7.3%
스 1858
 
3.1%
삼 1540
 
2.6%
트 1435
 
2.4%
마 1403
 
2.4%
화 970
 
1.6%
Other values (220) 18942
32.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 43784
74.2%
Other Symbol 8299
 
14.1%
Lowercase Letter 3035
 
5.1%
Uppercase Letter 1425
 
2.4%
Space Separator 945
 
1.6%
Open Punctuation 714
 
1.2%
Close Punctuation 714
 
1.2%
Other Punctuation 101
 
0.2%
Dash Punctuation 23
 
< 0.1%
Decimal Number 6
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
전 8080
18.5%
자 7551
17.2%
코 4642
10.6%
필 4328
 
9.9%
스 1858
 
4.2%
삼 1540
 
3.5%
트 1435
 
3.3%
마 1403
 
3.2%
화 970
 
2.2%
업 900
 
2.1%
Other values (160) 11077
25.3%
Lowercase Letter
ValueCountFrequency (%)
a 397
13.1%
e 320
10.5%
r 255
 
8.4%
n 242
 
8.0%
i 222
 
7.3%
t 220
 
7.2%
o 198
 
6.5%
l 187
 
6.2%
c 168
 
5.5%
m 108
 
3.6%
Other values (15) 718
23.7%
Uppercase Letter
ValueCountFrequency (%)
S 180
12.6%
A 166
11.6%
I 117
 
8.2%
N 115
 
8.1%
M 101
 
7.1%
C 99
 
6.9%
T 88
 
6.2%
L 84
 
5.9%
G 74
 
5.2%
H 68
 
4.8%
Other values (14) 333
23.4%
Other Symbol
ValueCountFrequency (%)
㈜ 8297
> 99.9%
™ 1
 
< 0.1%
® 1
 
< 0.1%
Other Punctuation
ValueCountFrequency (%)
. 74
73.3%
, 14
 
13.9%
& 13
 
12.9%
Space Separator
ValueCountFrequency (%)
945
100.0%
Open Punctuation
ValueCountFrequency (%)
( 714
100.0%
Close Punctuation
ValueCountFrequency (%)
) 714
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 23
100.0%
Decimal Number
ValueCountFrequency (%)
1 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 52081
88.2%
Latin 4460
 
7.6%
Common 2505
 
4.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
㈜ 8297
15.9%
전 8080
15.5%
자 7551
14.5%
코 4642
 
8.9%
필 4328
 
8.3%
스 1858
 
3.6%
삼 1540
 
3.0%
트 1435
 
2.8%
마 1403
 
2.7%
화 970
 
1.9%
Other values (161) 11977
23.0%
Latin
ValueCountFrequency (%)
a 397
 
8.9%
e 320
 
7.2%
r 255
 
5.7%
n 242
 
5.4%
i 222
 
5.0%
t 220
 
4.9%
o 198
 
4.4%
l 187
 
4.2%
S 180
 
4.0%
c 168
 
3.8%
Other values (39) 2071
46.4%
Common
ValueCountFrequency (%)
945
37.7%
( 714
28.5%
) 714
28.5%
. 74
 
3.0%
- 23
 
0.9%
, 14
 
0.6%
& 13
 
0.5%
1 6
 
0.2%
™ 1
 
< 0.1%
® 1
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 43784
74.2%
None 8298
 
14.1%
ASCII 6963
 
11.8%
Letterlike Symbols 1
 
< 0.1%

Most frequent character per block

None
ValueCountFrequency (%)
㈜ 8297
> 99.9%
® 1
 
< 0.1%
Hangul
ValueCountFrequency (%)
전 8080
18.5%
자 7551
17.2%
코 4642
10.6%
필 4328
 
9.9%
스 1858
 
4.2%
삼 1540
 
3.5%
트 1435
 
3.3%
마 1403
 
3.2%
화 970
 
2.2%
업 900
 
2.1%
Other values (160) 11077
25.3%
ASCII
ValueCountFrequency (%)
945
 
13.6%
( 714
 
10.3%
) 714
 
10.3%
a 397
 
5.7%
e 320
 
4.6%
r 255
 
3.7%
n 242
 
3.5%
i 222
 
3.2%
t 220
 
3.2%
o 198
 
2.8%
Other values (47) 2736
39.3%
Letterlike Symbols
ValueCountFrequency (%)
™ 1
100.0%

제조사모델번호
Text

Distinct9965
Distinct (%)99.7%
Missing9
Missing (%)0.1%
Memory size156.2 KiB
2023-12-12T21:31:59.503516image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length42
Median length40
Mean length12.057252
Min length1

Characters and Unicode

Total characters120464
Distinct characters97
Distinct categories14 ?
Distinct scripts3 ?
Distinct blocks7 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique9946 ?
Unique (%)99.5%

Sample

1st rowLAP-L40
2nd rowRWS02AR039K
3rd row0805N152K250LT
4th row0603N180J101CT
5th rowGSA10VB100M
ValueCountFrequency (%)
grade 12
 
0.1%
metco 10
 
0.1%
martoxid 8
 
0.1%
7
 
0.1%
f 7
 
0.1%
cab-o-sil® 7
 
0.1%
a 7
 
0.1%
woka 6
 
0.1%
size 5
 
< 0.1%
c 5
 
< 0.1%
Other values (10092) 10240
99.3%
2023-12-12T21:31:59.971474image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 15526
 
12.9%
1 13103
 
10.9%
2 11267
 
9.4%
3 5667
 
4.7%
5 5573
 
4.6%
T 5198
 
4.3%
8 4437
 
3.7%
6 4388
 
3.6%
R 4196
 
3.5%
C 3875
 
3.2%
Other values (87) 47234
39.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 66755
55.4%
Uppercase Letter 47755
39.6%
Other Symbol 1872
 
1.6%
Dash Punctuation 1661
 
1.4%
Lowercase Letter 914
 
0.8%
Other Punctuation 683
 
0.6%
Space Separator 399
 
0.3%
Math Symbol 174
 
0.1%
Open Punctuation 75
 
0.1%
Connector Punctuation 75
 
0.1%
Other values (4) 101
 
0.1%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
T 5198
 
10.9%
R 4196
 
8.8%
C 3875
 
8.1%
M 3537
 
7.4%
N 3141
 
6.6%
J 2870
 
6.0%
K 2866
 
6.0%
L 2795
 
5.9%
B 2662
 
5.6%
P 2629
 
5.5%
Other values (16) 13986
29.3%
Lowercase Letter
ValueCountFrequency (%)
e 117
12.8%
i 105
11.5%
a 88
9.6%
r 86
9.4%
o 70
 
7.7%
d 56
 
6.1%
t 52
 
5.7%
c 52
 
5.7%
l 48
 
5.3%
n 44
 
4.8%
Other values (14) 196
21.4%
Other Letter
ValueCountFrequency (%)
ㅁ 3
20.0%
월 2
13.3%
일 2
13.3%
액 1
 
6.7%
상 1
 
6.7%
규 1
 
6.7%
산 1
 
6.7%
나 1
 
6.7%
트 1
 
6.7%
륨 1
 
6.7%
Decimal Number
ValueCountFrequency (%)
0 15526
23.3%
1 13103
19.6%
2 11267
16.9%
3 5667
 
8.5%
5 5573
 
8.3%
8 4437
 
6.6%
6 4388
 
6.6%
4 3107
 
4.7%
7 1955
 
2.9%
9 1732
 
2.6%
Other Punctuation
ValueCountFrequency (%)
/ 388
56.8%
. 189
27.7%
? 46
 
6.7%
* 23
 
3.4%
, 19
 
2.8%
# 8
 
1.2%
: 7
 
1.0%
% 3
 
0.4%
Other Symbol
ValueCountFrequency (%)
□ 1769
94.5%
○ 47
 
2.5%
△ 42
 
2.2%
® 9
 
0.5%
■ 4
 
0.2%
™ 1
 
0.1%
Math Symbol
ValueCountFrequency (%)
× 172
98.9%
~ 1
 
0.6%
+ 1
 
0.6%
Other Number
ValueCountFrequency (%)
₄ 1
33.3%
₃ 1
33.3%
₂ 1
33.3%
Dash Punctuation
ValueCountFrequency (%)
- 1661
100.0%
Space Separator
ValueCountFrequency (%)
399
100.0%
Open Punctuation
ValueCountFrequency (%)
( 75
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 75
100.0%
Close Punctuation
ValueCountFrequency (%)
) 74
100.0%
Letter Number
ValueCountFrequency (%)
ⅹ 9
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 71771
59.6%
Latin 48678
40.4%
Hangul 15
 
< 0.1%

Most frequent character per script

Latin
ValueCountFrequency (%)
T 5198
 
10.7%
R 4196
 
8.6%
C 3875
 
8.0%
M 3537
 
7.3%
N 3141
 
6.5%
J 2870
 
5.9%
K 2866
 
5.9%
L 2795
 
5.7%
B 2662
 
5.5%
P 2629
 
5.4%
Other values (41) 14909
30.6%
Common
ValueCountFrequency (%)
0 15526
21.6%
1 13103
18.3%
2 11267
15.7%
3 5667
 
7.9%
5 5573
 
7.8%
8 4437
 
6.2%
6 4388
 
6.1%
4 3107
 
4.3%
7 1955
 
2.7%
□ 1769
 
2.5%
Other values (25) 4979
 
6.9%
Hangul
ValueCountFrequency (%)
ㅁ 3
20.0%
월 2
13.3%
일 2
13.3%
액 1
 
6.7%
상 1
 
6.7%
규 1
 
6.7%
산 1
 
6.7%
나 1
 
6.7%
트 1
 
6.7%
륨 1
 
6.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 118393
98.3%
Geometric Shapes 1862
 
1.5%
None 184
 
0.2%
Hangul 12
 
< 0.1%
Number Forms 9
 
< 0.1%
Compat Jamo 3
 
< 0.1%
Letterlike Symbols 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 15526
 
13.1%
1 13103
 
11.1%
2 11267
 
9.5%
3 5667
 
4.8%
5 5573
 
4.7%
T 5198
 
4.4%
8 4437
 
3.7%
6 4388
 
3.7%
R 4196
 
3.5%
C 3875
 
3.3%
Other values (65) 45163
38.1%
Geometric Shapes
ValueCountFrequency (%)
□ 1769
95.0%
○ 47
 
2.5%
△ 42
 
2.3%
■ 4
 
0.2%
None
ValueCountFrequency (%)
× 172
93.5%
® 9
 
4.9%
₄ 1
 
0.5%
₃ 1
 
0.5%
₂ 1
 
0.5%
Number Forms
ValueCountFrequency (%)
ⅹ 9
100.0%
Compat Jamo
ValueCountFrequency (%)
ㅁ 3
100.0%
Hangul
ValueCountFrequency (%)
월 2
16.7%
일 2
16.7%
액 1
8.3%
상 1
8.3%
규 1
8.3%
산 1
8.3%
나 1
8.3%
트 1
8.3%
륨 1
8.3%
호 1
8.3%
Letterlike Symbols
ValueCountFrequency (%)
™ 1
100.0%

회사홈페이지
Text

MISSING 

Distinct194
Distinct (%)2.0%
Missing107
Missing (%)1.1%
Memory size156.2 KiB
2023-12-12T21:32:00.284063image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length50
Median length40
Mean length21.620641
Min length1

Characters and Unicode

Total characters213893
Distinct characters70
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

Unique49 ?
Unique (%)0.5%

Sample

1st rowwww.lstone.co.kr
2nd rowhttp://www.smart-ele.co.kr
3rd rowwww.pilkor.co.kr
4th rowwww.pilkor.co.kr
5th rowhttp://www.samyoung.co.kr
ValueCountFrequency (%)
www.pilkor.co.kr 3932
38.3%
http://www.smart-ele.co.kr 1364
 
13.3%
http://www.h-ohmpage.co.kr 611
 
6.0%
http://www.samwha.co.kr/electronics 482
 
4.7%
http://www.samyoung.co.kr 407
 
4.0%
http://www.pilkor.co.kr 396
 
3.9%
www.jokwang.com 354
 
3.4%
316
 
3.1%
www.samwha.co.kr 284
 
2.8%
http://www.abco.co.kr 282
 
2.7%
Other values (188) 1840
17.9%
2023-12-12T21:32:00.771172image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
w 30435
14.2%
. 29112
13.6%
o 17258
 
8.1%
r 16071
 
7.5%
k 13909
 
6.5%
c 12454
 
5.8%
t 12339
 
5.8%
/ 11209
 
5.2%
p 10277
 
4.8%
h 7528
 
3.5%
Other values (60) 53301
24.9%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 163844
76.6%
Other Punctuation 45385
 
21.2%
Space Separator 2139
 
1.0%
Dash Punctuation 2127
 
1.0%
Other Letter 179
 
0.1%
Decimal Number 127
 
0.1%
Uppercase Letter 54
 
< 0.1%
Connector Punctuation 20
 
< 0.1%
Close Punctuation 9
 
< 0.1%
Open Punctuation 9
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
코 26
14.5%
아 13
 
7.3%
신 13
 
7.3%
리 13
 
7.3%
상 12
 
6.7%
사 12
 
6.7%
라 8
 
4.5%
영 8
 
4.5%
이 8
 
4.5%
세 8
 
4.5%
Other values (16) 58
32.4%
Lowercase Letter
ValueCountFrequency (%)
w 30435
18.6%
o 17258
10.5%
r 16071
9.8%
k 13909
8.5%
c 12454
7.6%
t 12339
7.5%
p 10277
 
6.3%
h 7528
 
4.6%
l 6600
 
4.0%
e 6372
 
3.9%
Other values (15) 30601
18.7%
Uppercase Letter
ValueCountFrequency (%)
T 15
27.8%
C 13
24.1%
F 12
22.2%
A 9
16.7%
W 3
 
5.6%
S 2
 
3.7%
Other Punctuation
ValueCountFrequency (%)
. 29112
64.1%
/ 11209
 
24.7%
: 4780
 
10.5%
? 283
 
0.6%
@ 1
 
< 0.1%
Decimal Number
ValueCountFrequency (%)
2 63
49.6%
1 57
44.9%
4 7
 
5.5%
Space Separator
ValueCountFrequency (%)
2139
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2127
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 20
100.0%
Close Punctuation
ValueCountFrequency (%)
) 9
100.0%
Open Punctuation
ValueCountFrequency (%)
( 9
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 163898
76.6%
Common 49816
 
23.3%
Hangul 179
 
0.1%

Most frequent character per script

Latin
ValueCountFrequency (%)
w 30435
18.6%
o 17258
10.5%
r 16071
9.8%
k 13909
8.5%
c 12454
7.6%
t 12339
7.5%
p 10277
 
6.3%
h 7528
 
4.6%
l 6600
 
4.0%
e 6372
 
3.9%
Other values (21) 30655
18.7%
Hangul
ValueCountFrequency (%)
코 26
14.5%
아 13
 
7.3%
신 13
 
7.3%
리 13
 
7.3%
상 12
 
6.7%
사 12
 
6.7%
라 8
 
4.5%
영 8
 
4.5%
이 8
 
4.5%
세 8
 
4.5%
Other values (16) 58
32.4%
Common
ValueCountFrequency (%)
. 29112
58.4%
/ 11209
 
22.5%
: 4780
 
9.6%
2139
 
4.3%
- 2127
 
4.3%
? 283
 
0.6%
2 63
 
0.1%
1 57
 
0.1%
_ 20
 
< 0.1%
) 9
 
< 0.1%
Other values (3) 17
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 213714
99.9%
Hangul 179
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
w 30435
14.2%
. 29112
13.6%
o 17258
 
8.1%
r 16071
 
7.5%
k 13909
 
6.5%
c 12454
 
5.8%
t 12339
 
5.8%
/ 11209
 
5.2%
p 10277
 
4.8%
h 7528
 
3.5%
Other values (34) 53122
24.9%
Hangul
ValueCountFrequency (%)
코 26
14.5%
아 13
 
7.3%
신 13
 
7.3%
리 13
 
7.3%
상 12
 
6.7%
사 12
 
6.7%
라 8
 
4.5%
영 8
 
4.5%
이 8
 
4.5%
세 8
 
4.5%
Other values (16) 58
32.4%

카탈로그설명
Text

MISSING 

Distinct78
Distinct (%)70.9%
Missing9890
Missing (%)98.9%
Memory size156.2 KiB
2023-12-12T21:32:01.128702image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length115
Median length53
Mean length22.1
Min length3

Characters and Unicode

Total characters2431
Distinct characters85
Distinct categories11 ?
Distinct scripts4 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique59 ?
Unique (%)53.6%

Sample

1st rowAnti-plasma, Dielectric property
2nd rowNarrow Gap Filling type
3rd row* Including a maximum of 2.5% HfO3, counted as ZrO2.
4th rowDy2O3
5th rowYb2O3
ValueCountFrequency (%)
17
 
4.5%
type 12
 
3.2%
al2o3 8
 
2.1%
zro2 7
 
1.8%
as 7
 
1.8%
standard 7
 
1.8%
counted 6
 
1.6%
hf 6
 
1.6%
for 5
 
1.3%
filling 5
 
1.3%
Other values (168) 299
78.9%
2023-12-12T21:32:01.681532image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
273
 
11.2%
a 161
 
6.6%
i 137
 
5.6%
e 137
 
5.6%
t 112
 
4.6%
n 105
 
4.3%
o 104
 
4.3%
l 100
 
4.1%
r 97
 
4.0%
s 89
 
3.7%
Other values (75) 1116
45.9%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 1544
63.5%
Uppercase Letter 314
 
12.9%
Space Separator 273
 
11.2%
Decimal Number 124
 
5.1%
Other Punctuation 87
 
3.6%
Other Letter 35
 
1.4%
Close Punctuation 17
 
0.7%
Open Punctuation 17
 
0.7%
Math Symbol 9
 
0.4%
Dash Punctuation 8
 
0.3%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 161
 
10.4%
i 137
 
8.9%
e 137
 
8.9%
t 112
 
7.3%
n 105
 
6.8%
o 104
 
6.7%
l 100
 
6.5%
r 97
 
6.3%
s 89
 
5.8%
p 73
 
4.7%
Other values (15) 429
27.8%
Uppercase Letter
ValueCountFrequency (%)
O 59
18.8%
A 44
14.0%
C 40
12.7%
S 35
11.1%
H 22
 
7.0%
N 12
 
3.8%
L 11
 
3.5%
P 11
 
3.5%
I 11
 
3.5%
T 11
 
3.5%
Other values (12) 58
18.5%
Other Letter
ValueCountFrequency (%)
수 5
14.3%
흑 5
14.3%
품 5
14.3%
제 5
14.3%
특 5
14.3%
연 5
14.3%
처 1
 
2.9%
재 1
 
2.9%
합 1
 
2.9%
복 1
 
2.9%
Decimal Number
ValueCountFrequency (%)
2 52
41.9%
3 35
28.2%
5 9
 
7.3%
4 7
 
5.6%
8 6
 
4.8%
7 6
 
4.8%
0 4
 
3.2%
1 4
 
3.2%
9 1
 
0.8%
Other Punctuation
ValueCountFrequency (%)
, 32
36.8%
. 20
23.0%
% 15
17.2%
/ 7
 
8.0%
* 6
 
6.9%
: 5
 
5.7%
? 1
 
1.1%
@ 1
 
1.1%
Math Symbol
ValueCountFrequency (%)
~ 4
44.4%
< 2
22.2%
+ 2
22.2%
= 1
 
11.1%
Other Symbol
ValueCountFrequency (%)
㎛ 2
66.7%
㎡ 1
33.3%
Space Separator
ValueCountFrequency (%)
273
100.0%
Close Punctuation
ValueCountFrequency (%)
) 17
100.0%
Open Punctuation
ValueCountFrequency (%)
( 17
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 8
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 1857
76.4%
Common 538
 
22.1%
Hangul 35
 
1.4%
Greek 1
 
< 0.1%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 161
 
8.7%
i 137
 
7.4%
e 137
 
7.4%
t 112
 
6.0%
n 105
 
5.7%
o 104
 
5.6%
l 100
 
5.4%
r 97
 
5.2%
s 89
 
4.8%
p 73
 
3.9%
Other values (36) 742
40.0%
Common
ValueCountFrequency (%)
273
50.7%
2 52
 
9.7%
3 35
 
6.5%
, 32
 
5.9%
. 20
 
3.7%
) 17
 
3.2%
( 17
 
3.2%
% 15
 
2.8%
5 9
 
1.7%
- 8
 
1.5%
Other values (17) 60
 
11.2%
Hangul
ValueCountFrequency (%)
수 5
14.3%
흑 5
14.3%
품 5
14.3%
제 5
14.3%
특 5
14.3%
연 5
14.3%
처 1
 
2.9%
재 1
 
2.9%
합 1
 
2.9%
복 1
 
2.9%
Greek
ValueCountFrequency (%)
β 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2392
98.4%
Hangul 35
 
1.4%
CJK Compat 3
 
0.1%
None 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
273
 
11.4%
a 161
 
6.7%
i 137
 
5.7%
e 137
 
5.7%
t 112
 
4.7%
n 105
 
4.4%
o 104
 
4.3%
l 100
 
4.2%
r 97
 
4.1%
s 89
 
3.7%
Other values (61) 1077
45.0%
Hangul
ValueCountFrequency (%)
수 5
14.3%
흑 5
14.3%
품 5
14.3%
제 5
14.3%
특 5
14.3%
연 5
14.3%
처 1
 
2.9%
재 1
 
2.9%
합 1
 
2.9%
복 1
 
2.9%
CJK Compat
ValueCountFrequency (%)
㎛ 2
66.7%
㎡ 1
33.3%
None
ValueCountFrequency (%)
β 1
100.0%

생성자
Categorical

IMBALANCE 

Distinct10
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
9346 
supercools@jntp.or.kr
 
270
rainbow@jntp.or.kr
 
150
skp0202@jntp.or.kr
 
147
jazzchorus@naver.com
 
33
Other values (5)
 
54

Length

Max length21
Median length4
Mean length4.9723
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowskp0202@jntp.or.kr
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 9346
93.5%
supercools@jntp.or.kr 270
 
2.7%
rainbow@jntp.or.kr 150
 
1.5%
skp0202@jntp.or.kr 147
 
1.5%
jazzchorus@naver.com 33
 
0.3%
cbmaster 17
 
0.2%
yjy7527@yonsei.ac.kr 16
 
0.2%
ceramicdb 12
 
0.1%
support 6
 
0.1%
joy604@yonsei.ac.kr 3
 
< 0.1%

Length

2023-12-12T21:32:01.898814image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T21:32:02.075161image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 9346
93.5%
supercools@jntp.or.kr 270
 
2.7%
rainbow@jntp.or.kr 150
 
1.5%
skp0202@jntp.or.kr 147
 
1.5%
jazzchorus@naver.com 33
 
0.3%
cbmaster 17
 
0.2%
yjy7527@yonsei.ac.kr 16
 
0.2%
ceramicdb 12
 
0.1%
support 6
 
0.1%
joy604@yonsei.ac.kr 3
 
< 0.1%

생성일자
Date

MISSING 

Distinct32
Distinct (%)4.9%
Missing9346
Missing (%)93.5%
Memory size156.2 KiB
Minimum2013-05-30 00:00:00
Maximum2015-02-06 00:00:00
2023-12-12T21:32:02.283907image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:32:02.474917image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=32)

수정자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing10000
Missing (%)100.0%
Memory size166.0 KiB

수정일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing10000
Missing (%)100.0%
Memory size166.0 KiB

Correlations

2023-12-12T21:32:02.589400image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
카탈로그설명생성자생성일자
카탈로그설명1.0001.0000.999
생성자1.0001.0000.977
생성일자0.9990.9771.000

Missing values

2023-12-12T21:31:54.765030image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T21:31:55.037148image/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.
2023-12-12T21:31:55.264463image/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

카탈로그제품명분류코드영문회사명국문회사명제조사모델번호회사홈페이지카탈로그설명생성자생성일자수정자수정일자
668201000006646LAP-L6000000000L-STONE엘스톤LAP-L40www.lstone.co.kr<NA>skp0202@jntp.or.kr10-Jun-14<NA><NA>
628021.0501E+13Cement resistors1050101040<NA>스마트전자㈜RWS02AR039Khttp://www.smart-ele.co.kr<NA><NA><NA><NA><NA>
101101.0403E+13Multilayer ceramic capacitor1040301010<NA>필코전자㈜0805N152K250LTwww.pilkor.co.kr<NA><NA><NA><NA><NA>
174191.0403E+13Multilayer ceramic capacitor1040301010<NA>필코전자㈜0603N180J101CTwww.pilkor.co.kr<NA><NA><NA><NA><NA>
345811.0403E+12Miniature aluminum electrolytic capacitors(low profile)1040301030<NA>삼영전자공업(주)GSA10VB100Mhttp://www.samyoung.co.kr<NA><NA><NA><NA><NA>
337201.0403E+13AC and pulse metallized polypropylene film capacitors1040301020<NA>필코전자㈜PCMP37123305www.pilkor.co.kr<NA><NA><NA><NA><NA>
653331000002422MLCC(Medium-High Voltage Capacitors-X7R)1040304000Samsung Electro-Mechanics삼성전기CL32B154KEJNNNhttp://www.sem.samsung.co.kr/index.jsp<NA><NA><NA><NA><NA>
173691.0403E+13Multilayer ceramic capacitor1040301010<NA>필코전자㈜0603N150G101LTwww.pilkor.co.kr<NA><NA><NA><NA><NA>
647881000000157Chip Ferrite Beads1020100000Samwha Capacitor삼화콘덴서CB1005GK221http://www.samwha.co.kr/capacitor/<NA><NA><NA><NA><NA>
165091.0403E+14Multilayer ceramic capacitor1040301010<NA>필코전자㈜1206B391M250LTwww.pilkor.co.kr<NA><NA><NA><NA><NA>
카탈로그제품명분류코드영문회사명국문회사명제조사모델번호회사홈페이지카탈로그설명생성자생성일자수정자수정일자
64381.0201E+13Micro inductors1020100000<NA>㈜쎄라텍MI-I0603-39NSJBhttp://www.ceratech.co.kr<NA><NA><NA><NA><NA>
429401.0501E+12precision metal film resistors1050101022<NA>스마트전자㈜RN96□□R560Ghttp://www.smart-ele.co.kr<NA><NA><NA><NA><NA>
237041.0403E+14Multilayer ceramic capacitor1040301010<NA>필코전자㈜1206F104M201CTwww.pilkor.co.kr<NA><NA><NA><NA><NA>
197341.0403E+14Multilayer ceramic capacitor1040301010<NA>필코전자㈜1206B221K500CTwww.pilkor.co.kr<NA><NA><NA><NA><NA>
260851.0403E+13Metallized polyester film capacitors1040301020<NA>필코전자㈜PCMT36541333www.pilkor.co.kr<NA><NA><NA><NA><NA>
424731.0501E+13Chip resistors1050101050<NA>스마트전자㈜RC92TR56R0Fhttp://www.smart-ele.co.kr<NA><NA><NA><NA><NA>
565001.02021E+13E cores1020206000<NA>삼화전자공업㈜PL-7EI1916Shttp://www.samwha.co.kr/electronics<NA><NA><NA><NA><NA>
179181.0403E+14Multilayer ceramic capacitor1040301010<NA>필코전자㈜0805B123M500CTwww.pilkor.co.kr<NA><NA><NA><NA><NA>
627611.0501E+13Cement resistors1050101040<NA>스마트전자㈜PSR05SP2K70Jhttp://www.smart-ele.co.kr<NA><NA><NA><NA><NA>
53181.0201E+13Ceramic chip inductors1020100000<NA>㈜쎄라텍CI-B1608-100JJLhttp://www.ceratech.co.kr<NA><NA><NA><NA><NA>

Duplicate rows

Most frequently occurring

제품명분류코드영문회사명국문회사명제조사모델번호회사홈페이지카탈로그설명생성자생성일자# duplicates
4DC HIGH VOLTAGE CERAMIC CAPACITORS1040301010DONGIL ELECTRONICS동일전자(주)CK3D△△□□□△□□http://www.dong-il.net/<NA><NA><NA>3
6DC HIGH VOLTAGE CERAMIC CAPACITORS1040301010DONGIL ELECTRONICS동일전자(주)CK4B△△□□□△□□http://www.dong-il.net/<NA><NA><NA>3
0C.R MULTIPLE(Safety Standard Recognized)1040301010DONGIL ELECTRONICS동일전자(주)DN C131,R1-2Mhttp://www.dong-il.net/<NA><NA><NA>2
1Chip resistors1050101050<NA>필코전자㈜WR12X2872FThttp://www.pilkor.co.kr<NA><NA><NA>2
2Chip resistors1050101050<NA>필코전자㈜WR12X3322FThttp://www.pilkor.co.kr<NA><NA><NA>2
3Chip resistors1050101050<NA>필코전자㈜WR12X7322FThttp://www.pilkor.co.kr<NA><NA><NA>2
5DC HIGH VOLTAGE CERAMIC CAPACITORS1040301010DONGIL ELECTRONICS동일전자(주)CK3F△△□□□△□□http://www.dong-il.net/<NA><NA><NA>2
7Multilayer ceramic capacitor1040301010<NA>필코전자㈜1206B225M100CTwww.pilkor.co.kr<NA><NA><NA>2
8Safety Standard Recognized AC Ceramic Capacitors1040301010DONGIL ELECTRONICS동일전자(주)DA2G△△□□□△□□http://www.dong-il.net/<NA><NA><NA>2
9silver(Ⅰ) selenide30102001<NA>우정무역AGI03GB<NA><NA><NA><NA>2