Overview

Dataset statistics

Number of variables32
Number of observations10000
Missing cells130538
Missing cells (%)40.8%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.6 MiB
Average record size in memory270.0 B

Variable types

Text16
Categorical10
DateTime3
Numeric1
Unsupported2

Dataset

Description한국세라믹기술원 세라믹소재정보은행의 소재 정보(소재명, 화학식, 출발물질 등)입니다.
Author한국세라믹기술원
URLhttps://www.data.go.kr/data/15072094/fileData.do

Alerts

수정자 is highly imbalanced (82.8%)Imbalance
에디터코멘트 is highly imbalanced (97.3%)Imbalance
유리품목 is highly imbalanced (88.7%)Imbalance
구분 is highly imbalanced (94.4%)Imbalance
임시 is highly imbalanced (56.5%)Imbalance
소재명 has 1782 (17.8%) missing valuesMissing
소재일련번호 has 8773 (87.7%) missing valuesMissing
화학식 has 1103 (11.0%) missing valuesMissing
생성자 has 2759 (27.6%) missing valuesMissing
비고 has 7153 (71.5%) missing valuesMissing
수정일시 has 8225 (82.2%) missing valuesMissing
입력자코멘트 has 9941 (99.4%) missing valuesMissing
책임자코멘트 has 9985 (99.9%) missing valuesMissing
신뢰도상태 has 101 (1.0%) missing valuesMissing
공정노트 has 6495 (65.0%) missing valuesMissing
소재그룹번호 has 7197 (72.0%) missing valuesMissing
노트 has 5620 (56.2%) missing valuesMissing
소재소스노트 has 10000 (100.0%) missing valuesMissing
승인일자 has 4915 (49.1%) missing valuesMissing
파일 has 9514 (95.1%) missing valuesMissing
출발물질 has 1889 (18.9%) missing valuesMissing
첨가물 has 6316 (63.2%) missing valuesMissing
키워드 has 9899 (99.0%) missing valuesMissing
has 10000 (100.0%) missing valuesMissing
소재구성 has 8789 (87.9%) missing valuesMissing
소재번호 has unique valuesUnique
소재소스노트 is an unsupported type, check if it needs cleaning or further analysisUnsupported
is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2023-12-12 20:56:02.419972
Analysis finished2023-12-12 20:56:04.853867
Duration2.43 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

소재번호
Text

UNIQUE 

Distinct10000
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-13T05:56:05.139466image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length7
Mean length6.9992
Min length3

Characters and Unicode

Total characters69992
Distinct characters12
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

Unique10000 ?
Unique (%)100.0%

Sample

1st rowM109438
2nd rowM102370
3rd rowM137546
4th rowM106087
5th rowM126130
ValueCountFrequency (%)
m109438 1
 
< 0.1%
m128551 1
 
< 0.1%
m129824 1
 
< 0.1%
m115022 1
 
< 0.1%
m133061 1
 
< 0.1%
m006020 1
 
< 0.1%
m110858 1
 
< 0.1%
m114370 1
 
< 0.1%
m127307 1
 
< 0.1%
m131322 1
 
< 0.1%
Other values (9990) 9990
99.9%
2023-12-13T05:56:05.904460image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 14778
21.1%
M 9899
14.1%
0 8826
12.6%
2 6641
9.5%
3 6108
8.7%
7 4122
 
5.9%
6 4062
 
5.8%
5 4013
 
5.7%
4 3998
 
5.7%
8 3876
 
5.5%
Other values (2) 3669
 
5.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 59992
85.7%
Uppercase Letter 10000
 
14.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 14778
24.6%
0 8826
14.7%
2 6641
11.1%
3 6108
10.2%
7 4122
 
6.9%
6 4062
 
6.8%
5 4013
 
6.7%
4 3998
 
6.7%
8 3876
 
6.5%
9 3568
 
5.9%
Uppercase Letter
ValueCountFrequency (%)
M 9899
99.0%
B 101
 
1.0%

Most occurring scripts

ValueCountFrequency (%)
Common 59992
85.7%
Latin 10000
 
14.3%

Most frequent character per script

Common
ValueCountFrequency (%)
1 14778
24.6%
0 8826
14.7%
2 6641
11.1%
3 6108
10.2%
7 4122
 
6.9%
6 4062
 
6.8%
5 4013
 
6.7%
4 3998
 
6.7%
8 3876
 
6.5%
9 3568
 
5.9%
Latin
ValueCountFrequency (%)
M 9899
99.0%
B 101
 
1.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 69992
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 14778
21.1%
M 9899
14.1%
0 8826
12.6%
2 6641
9.5%
3 6108
8.7%
7 4122
 
5.9%
6 4062
 
5.8%
5 4013
 
5.7%
4 3998
 
5.7%
8 3876
 
5.5%
Other values (2) 3669
 
5.2%

정보신뢰도
Categorical

Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
E
5092 
C
2790 
D
1883 
A
 
194
B
 
41

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowC
2nd rowC
3rd rowE
4th rowC
5th rowE

Common Values

ValueCountFrequency (%)
E 5092
50.9%
C 2790
27.9%
D 1883
 
18.8%
A 194
 
1.9%
B 41
 
0.4%

Length

2023-12-13T05:56:06.052751image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T05:56:06.163364image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
e 5092
50.9%
c 2790
27.9%
d 1883
 
18.8%
a 194
 
1.9%
b 41
 
0.4%

보안레벨
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
8271 
10
1729 

Length

Max length4
Median length4
Mean length3.6542
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 8271
82.7%
10 1729
 
17.3%

Length

2023-12-13T05:56:06.298417image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T05:56:06.410657image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 8271
82.7%
10 1729
 
17.3%

소재명
Text

MISSING 

Distinct2044
Distinct (%)24.9%
Missing1782
Missing (%)17.8%
Memory size156.2 KiB
2023-12-13T05:56:06.642869image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length100
Median length85
Mean length18.929667
Min length1

Characters and Unicode

Total characters155564
Distinct characters154
Distinct categories14 ?
Distinct scripts4 ?
Distinct blocks5 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1251 ?
Unique (%)15.2%

Sample

1st rowBrick No.4
2nd rowLead zirconate titanate >PZT
3rd rowNa, K, Li
4th rowAluminium titanate
5th rowNdxBi1-xFe0.95Co0.05O3
ValueCountFrequency (%)
955
 
5.3%
titanate 736
 
4.1%
ferrite 494
 
2.7%
oxide 460
 
2.5%
lead 443
 
2.4%
zirconate 351
 
1.9%
al2o3 270
 
1.5%
barium 251
 
1.4%
pzt 191
 
1.1%
si3n4 154
 
0.8%
Other values (2264) 13820
76.2%
2023-12-13T05:56:07.099219image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
i 10901
 
7.0%
10072
 
6.5%
e 9354
 
6.0%
a 8974
 
5.8%
t 7122
 
4.6%
r 5718
 
3.7%
n 5317
 
3.4%
O 5067
 
3.3%
o 4426
 
2.8%
0 4164
 
2.7%
Other values (144) 84449
54.3%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 79857
51.3%
Uppercase Letter 30480
 
19.6%
Decimal Number 17907
 
11.5%
Space Separator 10072
 
6.5%
Other Punctuation 6123
 
3.9%
Dash Punctuation 3296
 
2.1%
Open Punctuation 2854
 
1.8%
Close Punctuation 2805
 
1.8%
Math Symbol 1394
 
0.9%
Other Letter 713
 
0.5%
Other values (4) 63
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
123
17.3%
122
17.1%
120
16.8%
119
16.7%
92
12.9%
11
 
1.5%
11
 
1.5%
7
 
1.0%
7
 
1.0%
6
 
0.8%
Other values (41) 95
13.3%
Lowercase Letter
ValueCountFrequency (%)
i 10901
13.7%
e 9354
11.7%
a 8974
11.2%
t 7122
 
8.9%
r 5718
 
7.2%
n 5317
 
6.7%
o 4426
 
5.5%
l 3780
 
4.7%
m 3201
 
4.0%
d 2838
 
3.6%
Other values (21) 18226
22.8%
Uppercase Letter
ValueCountFrequency (%)
O 5067
16.6%
N 3491
11.5%
T 2943
9.7%
C 2878
9.4%
B 2402
7.9%
Z 2310
7.6%
S 2227
7.3%
L 1624
 
5.3%
M 1521
 
5.0%
P 1277
 
4.2%
Other values (17) 4740
15.6%
Other Punctuation
ValueCountFrequency (%)
. 3563
58.2%
, 1446
23.6%
% 486
 
7.9%
/ 287
 
4.7%
: 212
 
3.5%
· 82
 
1.3%
* 34
 
0.6%
; 7
 
0.1%
& 3
 
< 0.1%
" 2
 
< 0.1%
Decimal Number
ValueCountFrequency (%)
0 4164
23.3%
3 3417
19.1%
2 3275
18.3%
1 2139
11.9%
5 1820
10.2%
4 1005
 
5.6%
8 652
 
3.6%
9 503
 
2.8%
6 472
 
2.6%
7 460
 
2.6%
Math Symbol
ValueCountFrequency (%)
+ 959
68.8%
> 314
 
22.5%
= 77
 
5.5%
< 34
 
2.4%
5
 
0.4%
~ 3
 
0.2%
± 1
 
0.1%
1
 
0.1%
Open Punctuation
ValueCountFrequency (%)
( 2540
89.0%
[ 170
 
6.0%
{ 144
 
5.0%
Close Punctuation
ValueCountFrequency (%)
) 2491
88.8%
] 170
 
6.1%
} 144
 
5.1%
Other Number
ValueCountFrequency (%)
22
73.3%
4
 
13.3%
4
 
13.3%
Other Symbol
ValueCountFrequency (%)
5
45.5%
° 5
45.5%
1
 
9.1%
Space Separator
ValueCountFrequency (%)
10072
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3296
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 21
100.0%
Control
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 110129
70.8%
Common 44514
28.6%
Hangul 713
 
0.5%
Greek 208
 
0.1%

Most frequent character per script

Latin
ValueCountFrequency (%)
i 10901
 
9.9%
e 9354
 
8.5%
a 8974
 
8.1%
t 7122
 
6.5%
r 5718
 
5.2%
n 5317
 
4.8%
O 5067
 
4.6%
o 4426
 
4.0%
l 3780
 
3.4%
N 3491
 
3.2%
Other values (42) 45979
41.8%
Hangul
ValueCountFrequency (%)
123
17.3%
122
17.1%
120
16.8%
119
16.7%
92
12.9%
11
 
1.5%
11
 
1.5%
7
 
1.0%
7
 
1.0%
6
 
0.8%
Other values (41) 95
13.3%
Common
ValueCountFrequency (%)
10072
22.6%
0 4164
9.4%
. 3563
 
8.0%
3 3417
 
7.7%
- 3296
 
7.4%
2 3275
 
7.4%
( 2540
 
5.7%
) 2491
 
5.6%
1 2139
 
4.8%
5 1820
 
4.1%
Other values (35) 7737
17.4%
Greek
ValueCountFrequency (%)
δ 171
82.2%
α 16
 
7.7%
γ 14
 
6.7%
β 5
 
2.4%
Χ 1
 
0.5%
λ 1
 
0.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 154513
99.3%
Hangul 713
 
0.5%
None 327
 
0.2%
Letterlike Symbols 6
 
< 0.1%
Math Operators 5
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
i 10901
 
7.1%
10072
 
6.5%
e 9354
 
6.1%
a 8974
 
5.8%
t 7122
 
4.6%
r 5718
 
3.7%
n 5317
 
3.4%
O 5067
 
3.3%
o 4426
 
2.9%
0 4164
 
2.7%
Other values (77) 83398
54.0%
None
ValueCountFrequency (%)
δ 171
52.3%
· 82
25.1%
22
 
6.7%
α 16
 
4.9%
γ 14
 
4.3%
β 5
 
1.5%
° 5
 
1.5%
4
 
1.2%
4
 
1.2%
± 1
 
0.3%
Other values (3) 3
 
0.9%
Hangul
ValueCountFrequency (%)
123
17.3%
122
17.1%
120
16.8%
119
16.7%
92
12.9%
11
 
1.5%
11
 
1.5%
7
 
1.0%
7
 
1.0%
6
 
0.8%
Other values (41) 95
13.3%
Letterlike Symbols
ValueCountFrequency (%)
5
83.3%
1
 
16.7%
Math Operators
ValueCountFrequency (%)
5
100.0%

소재일련번호
Text

MISSING 

Distinct1064
Distinct (%)86.7%
Missing8773
Missing (%)87.7%
Memory size156.2 KiB
2023-12-13T05:56:07.491244image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length34
Median length23
Mean length7.6487368
Min length1

Characters and Unicode

Total characters9385
Distinct characters126
Distinct categories12 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique987 ?
Unique (%)80.4%

Sample

1st rowCeTZP-44
2nd rowPZT - PMS - PZN-4
3rd rowPZ-134
4th rowBT-160
5th rowPZ-A47
ValueCountFrequency (%)
aln 40
 
3.0%
17
 
1.3%
tio2-3 15
 
1.1%
mlptc-c-2 11
 
0.8%
sn-148 7
 
0.5%
sn-141 6
 
0.4%
ysz-01 6
 
0.4%
sn-147 6
 
0.4%
cas-1 6
 
0.4%
bs 5
 
0.4%
Other values (1082) 1227
91.2%
2023-12-13T05:56:08.092807image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 1636
17.4%
P 614
 
6.5%
1 585
 
6.2%
T 484
 
5.2%
Z 428
 
4.6%
N 423
 
4.5%
S 396
 
4.2%
2 355
 
3.8%
A 314
 
3.3%
3 284
 
3.0%
Other values (116) 3866
41.2%

Most occurring categories

ValueCountFrequency (%)
Uppercase Letter 4345
46.3%
Decimal Number 2361
25.2%
Dash Punctuation 1636
 
17.4%
Lowercase Letter 603
 
6.4%
Other Letter 213
 
2.3%
Space Separator 121
 
1.3%
Other Punctuation 38
 
0.4%
Open Punctuation 21
 
0.2%
Close Punctuation 21
 
0.2%
Connector Punctuation 18
 
0.2%
Other values (2) 8
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
22
 
10.3%
14
 
6.6%
14
 
6.6%
11
 
5.2%
10
 
4.7%
8
 
3.8%
7
 
3.3%
7
 
3.3%
7
 
3.3%
6
 
2.8%
Other values (49) 107
50.2%
Uppercase Letter
ValueCountFrequency (%)
P 614
14.1%
T 484
11.1%
Z 428
9.9%
N 423
9.7%
S 396
9.1%
A 314
7.2%
B 273
 
6.3%
C 269
 
6.2%
L 217
 
5.0%
O 171
 
3.9%
Other values (14) 756
17.4%
Lowercase Letter
ValueCountFrequency (%)
i 161
26.7%
l 104
17.2%
n 69
11.4%
e 49
 
8.1%
a 45
 
7.5%
o 34
 
5.6%
t 30
 
5.0%
s 27
 
4.5%
r 24
 
4.0%
u 9
 
1.5%
Other values (12) 51
 
8.5%
Decimal Number
ValueCountFrequency (%)
1 585
24.8%
2 355
15.0%
3 284
12.0%
0 276
11.7%
4 245
10.4%
5 159
 
6.7%
6 128
 
5.4%
7 121
 
5.1%
8 116
 
4.9%
9 92
 
3.9%
Other Punctuation
ValueCountFrequency (%)
/ 28
73.7%
. 6
 
15.8%
, 4
 
10.5%
Other Number
ValueCountFrequency (%)
5
71.4%
2
 
28.6%
Dash Punctuation
ValueCountFrequency (%)
- 1636
100.0%
Space Separator
ValueCountFrequency (%)
121
100.0%
Open Punctuation
ValueCountFrequency (%)
( 21
100.0%
Close Punctuation
ValueCountFrequency (%)
) 21
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 18
100.0%
Math Symbol
ValueCountFrequency (%)
+ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 4948
52.7%
Common 4224
45.0%
Hangul 213
 
2.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
22
 
10.3%
14
 
6.6%
14
 
6.6%
11
 
5.2%
10
 
4.7%
8
 
3.8%
7
 
3.3%
7
 
3.3%
7
 
3.3%
6
 
2.8%
Other values (49) 107
50.2%
Latin
ValueCountFrequency (%)
P 614
12.4%
T 484
 
9.8%
Z 428
 
8.6%
N 423
 
8.5%
S 396
 
8.0%
A 314
 
6.3%
B 273
 
5.5%
C 269
 
5.4%
L 217
 
4.4%
O 171
 
3.5%
Other values (36) 1359
27.5%
Common
ValueCountFrequency (%)
- 1636
38.7%
1 585
 
13.8%
2 355
 
8.4%
3 284
 
6.7%
0 276
 
6.5%
4 245
 
5.8%
5 159
 
3.8%
6 128
 
3.0%
7 121
 
2.9%
121
 
2.9%
Other values (11) 314
 
7.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 9165
97.7%
Hangul 213
 
2.3%
None 7
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 1636
17.9%
P 614
 
6.7%
1 585
 
6.4%
T 484
 
5.3%
Z 428
 
4.7%
N 423
 
4.6%
S 396
 
4.3%
2 355
 
3.9%
A 314
 
3.4%
3 284
 
3.1%
Other values (55) 3646
39.8%
Hangul
ValueCountFrequency (%)
22
 
10.3%
14
 
6.6%
14
 
6.6%
11
 
5.2%
10
 
4.7%
8
 
3.8%
7
 
3.3%
7
 
3.3%
7
 
3.3%
6
 
2.8%
Other values (49) 107
50.2%
None
ValueCountFrequency (%)
5
71.4%
2
 
28.6%

화학식
Text

MISSING 

Distinct5929
Distinct (%)66.6%
Missing1103
Missing (%)11.0%
Memory size156.2 KiB
2023-12-13T05:56:08.353892image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length780
Median length140
Mean length39.069012
Min length1

Characters and Unicode

Total characters347597
Distinct characters168
Distinct categories13 ?
Distinct scripts4 ?
Distinct blocks6 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique4843 ?
Unique (%)54.4%

Sample

1st row(MgO 85 C 10 )
2nd rowPb (Zr 0.54 Ti 0.46 )O 3 + Nb2O5 1wt% Cr2O3 2wt%
3rd row.84Al 2 O 3 +.16O 2 + MgO/CaO/Al2O3/SiO2 glass 2wt%
4th row1(Nd0.1Bi0.9)(Fe0.95Co0.05)O3
5th row(Pb 0.921 Sr 0.059 Bi 0.02 )(Zr 0.506 Ti 0.477 Ni 0.01 W 0.007 )O 3 + CdO 1.2wt% PbO 0.2wt% LiF 0.16wt%
ValueCountFrequency (%)
3157
 
8.6%
o 1193
 
3.2%
3 861
 
2.3%
ti 667
 
1.8%
wt 536
 
1.5%
sio2 436
 
1.2%
al2o3 434
 
1.2%
0.5 378
 
1.0%
2 338
 
0.9%
zr 328
 
0.9%
Other values (6927) 28479
77.4%
2023-12-13T05:56:08.782083image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 34101
 
9.8%
32894
 
9.5%
. 27977
 
8.0%
O 17215
 
5.0%
2 15974
 
4.6%
1 15757
 
4.5%
3 14879
 
4.3%
5 12012
 
3.5%
i 10366
 
3.0%
( 9110
 
2.6%
Other values (158) 157312
45.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 118325
34.0%
Lowercase Letter 65119
18.7%
Uppercase Letter 61742
17.8%
Other Punctuation 40162
 
11.6%
Space Separator 32894
 
9.5%
Open Punctuation 9372
 
2.7%
Close Punctuation 9365
 
2.7%
Math Symbol 8340
 
2.4%
Dash Punctuation 1107
 
0.3%
Other Letter 675
 
0.2%
Other values (3) 496
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
62
 
9.2%
57
 
8.4%
36
 
5.3%
36
 
5.3%
28
 
4.1%
28
 
4.1%
20
 
3.0%
18
 
2.7%
18
 
2.7%
18
 
2.7%
Other values (59) 354
52.4%
Lowercase Letter
ValueCountFrequency (%)
i 10366
15.9%
a 7428
11.4%
t 6008
9.2%
w 4867
7.5%
l 4633
7.1%
n 4620
7.1%
r 4521
6.9%
b 4364
6.7%
e 3913
 
6.0%
o 3685
 
5.7%
Other values (20) 10714
16.5%
Uppercase Letter
ValueCountFrequency (%)
O 17215
27.9%
C 6434
 
10.4%
N 5723
 
9.3%
T 4453
 
7.2%
S 4328
 
7.0%
B 3968
 
6.4%
Z 3622
 
5.9%
M 2743
 
4.4%
P 2096
 
3.4%
F 2008
 
3.3%
Other values (15) 9152
14.8%
Decimal Number
ValueCountFrequency (%)
0 34101
28.8%
2 15974
13.5%
1 15757
13.3%
3 14879
12.6%
5 12012
 
10.2%
4 7367
 
6.2%
9 5036
 
4.3%
8 4783
 
4.0%
6 4742
 
4.0%
7 3674
 
3.1%
Other Punctuation
ValueCountFrequency (%)
. 27977
69.7%
% 6765
 
16.8%
, 2591
 
6.5%
/ 1449
 
3.6%
: 1136
 
2.8%
; 90
 
0.2%
· 81
 
0.2%
& 42
 
0.1%
* 30
 
0.1%
# 1
 
< 0.1%
Math Symbol
ValueCountFrequency (%)
+ 7494
89.9%
= 774
 
9.3%
~ 57
 
0.7%
± 12
 
0.1%
| 2
 
< 0.1%
1
 
< 0.1%
Other Number
ValueCountFrequency (%)
206
44.3%
158
34.0%
½ 44
 
9.5%
22
 
4.7%
22
 
4.7%
13
 
2.8%
Open Punctuation
ValueCountFrequency (%)
( 9110
97.2%
[ 196
 
2.1%
{ 59
 
0.6%
7
 
0.1%
Close Punctuation
ValueCountFrequency (%)
) 9107
97.2%
] 192
 
2.1%
} 59
 
0.6%
7
 
0.1%
Space Separator
ValueCountFrequency (%)
32894
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1107
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 30
100.0%
Other Symbol
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 220061
63.3%
Latin 126818
36.5%
Hangul 675
 
0.2%
Greek 43
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
62
 
9.2%
57
 
8.4%
36
 
5.3%
36
 
5.3%
28
 
4.1%
28
 
4.1%
20
 
3.0%
18
 
2.7%
18
 
2.7%
18
 
2.7%
Other values (59) 354
52.4%
Latin
ValueCountFrequency (%)
O 17215
 
13.6%
i 10366
 
8.2%
a 7428
 
5.9%
C 6434
 
5.1%
t 6008
 
4.7%
N 5723
 
4.5%
w 4867
 
3.8%
l 4633
 
3.7%
n 4620
 
3.6%
r 4521
 
3.6%
Other values (41) 55003
43.4%
Common
ValueCountFrequency (%)
0 34101
15.5%
32894
14.9%
. 27977
12.7%
2 15974
 
7.3%
1 15757
 
7.2%
3 14879
 
6.8%
5 12012
 
5.5%
( 9110
 
4.1%
) 9107
 
4.1%
+ 7494
 
3.4%
Other values (34) 40756
18.5%
Greek
ValueCountFrequency (%)
α 19
44.2%
β 13
30.2%
γ 7
 
16.3%
μ 4
 
9.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 346305
99.6%
Hangul 675
 
0.2%
None 571
 
0.2%
Number Forms 44
 
< 0.1%
Arrows 1
 
< 0.1%
CJK Compat 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 34101
 
9.8%
32894
 
9.5%
. 27977
 
8.1%
O 17215
 
5.0%
2 15974
 
4.6%
1 15757
 
4.6%
3 14879
 
4.3%
5 12012
 
3.5%
i 10366
 
3.0%
( 9110
 
2.6%
Other values (73) 156020
45.1%
None
ValueCountFrequency (%)
206
36.1%
158
27.7%
· 81
 
14.2%
½ 44
 
7.7%
α 19
 
3.3%
β 13
 
2.3%
13
 
2.3%
± 12
 
2.1%
7
 
1.2%
7
 
1.2%
Other values (2) 11
 
1.9%
Hangul
ValueCountFrequency (%)
62
 
9.2%
57
 
8.4%
36
 
5.3%
36
 
5.3%
28
 
4.1%
28
 
4.1%
20
 
3.0%
18
 
2.7%
18
 
2.7%
18
 
2.7%
Other values (59) 354
52.4%
Number Forms
ValueCountFrequency (%)
22
50.0%
22
50.0%
Arrows
ValueCountFrequency (%)
1
100.0%
CJK Compat
ValueCountFrequency (%)
1
100.0%

생성자
Text

MISSING 

Distinct83
Distinct (%)1.1%
Missing2759
Missing (%)27.6%
Memory size156.2 KiB
2023-12-13T05:56:09.073330image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length22
Mean length18.953459
Min length7

Characters and Unicode

Total characters137242
Distinct characters50
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

1st rowchange150@hanmail.net
2nd rowkimchangil@hanmail.net
3rd rowk2dass@kyonggi.ac.kr
4th rowwptjddl24rka@kgu.ac.kr
5th rowmidoban00@kyonggi.ac.kr
ValueCountFrequency (%)
mynell@uos.ac.kr 427
 
5.9%
kingdom2470@kgu.ac.kr 400
 
5.5%
yjeo@kyonggi.ac.kr 371
 
5.1%
psy@kicet.re.kr 343
 
4.7%
ygchun@kier.re.kr 334
 
4.6%
200411197@kyonggi.ac.kr 302
 
4.2%
neoleader@kgu.ac.kr 282
 
3.9%
k2dass@kyonggi.ac.kr 281
 
3.9%
midoban00@kyonggi.ac.kr 260
 
3.6%
dhim@kyonggi.ac.kr 259
 
3.6%
Other values (72) 3982
55.0%
2023-12-13T05:56:09.526513image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
k 14483
 
10.6%
. 13451
 
9.8%
r 10551
 
7.7%
e 8941
 
6.5%
a 8280
 
6.0%
g 7422
 
5.4%
i 7302
 
5.3%
c 7096
 
5.2%
@ 7035
 
5.1%
n 6322
 
4.6%
Other values (40) 46359
33.8%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 103525
75.4%
Other Punctuation 20486
 
14.9%
Decimal Number 12116
 
8.8%
Uppercase Letter 1016
 
0.7%
Dash Punctuation 72
 
0.1%
Connector Punctuation 27
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
k 14483
14.0%
r 10551
10.2%
e 8941
 
8.6%
a 8280
 
8.0%
g 7422
 
7.2%
i 7302
 
7.1%
c 7096
 
6.9%
n 6322
 
6.1%
o 5461
 
5.3%
y 4398
 
4.2%
Other values (14) 23269
22.5%
Uppercase Letter
ValueCountFrequency (%)
C 137
13.5%
R 123
12.1%
B 112
11.0%
E 105
10.3%
S 105
10.3%
T 101
9.9%
A 101
9.9%
M 101
9.9%
L 34
 
3.3%
J 34
 
3.3%
Other values (2) 63
6.2%
Decimal Number
ValueCountFrequency (%)
0 3022
24.9%
1 2248
18.6%
2 1871
15.4%
4 996
 
8.2%
7 951
 
7.8%
5 900
 
7.4%
9 865
 
7.1%
8 777
 
6.4%
3 415
 
3.4%
6 71
 
0.6%
Other Punctuation
ValueCountFrequency (%)
. 13451
65.7%
@ 7035
34.3%
Dash Punctuation
ValueCountFrequency (%)
- 72
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 27
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 104541
76.2%
Common 32701
 
23.8%

Most frequent character per script

Latin
ValueCountFrequency (%)
k 14483
13.9%
r 10551
10.1%
e 8941
 
8.6%
a 8280
 
7.9%
g 7422
 
7.1%
i 7302
 
7.0%
c 7096
 
6.8%
n 6322
 
6.0%
o 5461
 
5.2%
y 4398
 
4.2%
Other values (26) 24285
23.2%
Common
ValueCountFrequency (%)
. 13451
41.1%
@ 7035
21.5%
0 3022
 
9.2%
1 2248
 
6.9%
2 1871
 
5.7%
4 996
 
3.0%
7 951
 
2.9%
5 900
 
2.8%
9 865
 
2.6%
8 777
 
2.4%
Other values (4) 585
 
1.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 137242
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
k 14483
 
10.6%
. 13451
 
9.8%
r 10551
 
7.7%
e 8941
 
6.5%
a 8280
 
6.0%
g 7422
 
5.4%
i 7302
 
5.3%
c 7096
 
5.2%
@ 7035
 
5.1%
n 6322
 
4.6%
Other values (40) 46359
33.8%

책임자
Categorical

Distinct44
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
eskim@kyonggi.ac.kr
2921 
khkim@kicet.re.kr
1544 
hjhwang@inha.ac.kr
802 
ywkim@uos.ac.kr
565 
wslee@keti.re.kr
459 
Other values (39)
3709 

Length

Max length23
Median length22
Mean length17.8172
Min length4

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

1st rowbsjun@kyungnam.ac.kr
2nd rowjhpaik@kicet.re.kr
3rd rowkhkim@kicet.re.kr
4th roweskim@kyonggi.ac.kr
5th roweskim@kyonggi.ac.kr

Common Values

ValueCountFrequency (%)
eskim@kyonggi.ac.kr 2921
29.2%
khkim@kicet.re.kr 1544
15.4%
hjhwang@inha.ac.kr 802
 
8.0%
ywkim@uos.ac.kr 565
 
5.7%
wslee@keti.re.kr 459
 
4.6%
jwmin@katech.re.kr 415
 
4.2%
jhpaik@kicet.re.kr 413
 
4.1%
ygchun@kier.re.kr 393
 
3.9%
bsjun@kyungnam.ac.kr 318
 
3.2%
goedc@kicet.re.kr 316
 
3.2%
Other values (34) 1854
18.5%

Length

2023-12-13T05:56:09.704443image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
eskim@kyonggi.ac.kr 2921
29.2%
khkim@kicet.re.kr 1544
15.4%
hjhwang@inha.ac.kr 802
 
8.0%
ywkim@uos.ac.kr 565
 
5.7%
wslee@keti.re.kr 459
 
4.6%
jwmin@katech.re.kr 415
 
4.2%
jhpaik@kicet.re.kr 413
 
4.1%
ygchun@kier.re.kr 393
 
3.9%
bsjun@kyungnam.ac.kr 318
 
3.2%
goedc@kicet.re.kr 316
 
3.2%
Other values (34) 1854
18.5%

비고
Text

MISSING 

Distinct1040
Distinct (%)36.5%
Missing7153
Missing (%)71.5%
Memory size156.2 KiB
2023-12-13T05:56:09.985353image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length1024
Median length188
Mean length34.361784
Min length1

Characters and Unicode

Total characters97828
Distinct characters254
Distinct categories13 ?
Distinct scripts4 ?
Distinct blocks6 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique697 ?
Unique (%)24.5%

Sample

1st rowAluminium titanate, MgOCaOSiO2Al2O3 glass
2nd rowaluminium, magnesium
3rd rowInvestigated SiO2 brick D = SiO2, CaO, Fe2O3
4th rowcopper, magnesium
5th rowSTBS = Al2O3+Graphite 83wt%, Novolac resin 6wt%, Hardener 0.6wt%, Si+SiO2+Na2B4O7+TiO2 11wt%
ValueCountFrequency (%)
863
 
6.4%
fe2o3 250
 
1.8%
sio2 198
 
1.5%
zno 194
 
1.4%
of 172
 
1.3%
al2o3 157
 
1.2%
mgo 141
 
1.0%
0.9<x<1.3 132
 
1.0%
0<y<0.1 132
 
1.0%
0<z<0.9 132
 
1.0%
Other values (2267) 11186
82.5%
2023-12-13T05:56:10.466854image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
10756
 
11.0%
e 5016
 
5.1%
i 4220
 
4.3%
a 4183
 
4.3%
t 3907
 
4.0%
, 3633
 
3.7%
O 3583
 
3.7%
0 3201
 
3.3%
o 3034
 
3.1%
n 2974
 
3.0%
Other values (244) 53321
54.5%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 43538
44.5%
Uppercase Letter 15160
 
15.5%
Decimal Number 13091
 
13.4%
Space Separator 10756
 
11.0%
Other Punctuation 7719
 
7.9%
Other Letter 2367
 
2.4%
Math Symbol 2303
 
2.4%
Open Punctuation 1028
 
1.1%
Close Punctuation 1027
 
1.0%
Dash Punctuation 791
 
0.8%
Other values (3) 48
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
196
 
8.3%
140
 
5.9%
131
 
5.5%
127
 
5.4%
90
 
3.8%
78
 
3.3%
72
 
3.0%
70
 
3.0%
70
 
3.0%
66
 
2.8%
Other values (144) 1327
56.1%
Lowercase Letter
ValueCountFrequency (%)
e 5016
11.5%
i 4220
 
9.7%
a 4183
 
9.6%
t 3907
 
9.0%
o 3034
 
7.0%
n 2974
 
6.8%
r 2500
 
5.7%
l 2226
 
5.1%
m 2037
 
4.7%
d 1633
 
3.8%
Other values (21) 11808
27.1%
Uppercase Letter
ValueCountFrequency (%)
O 3583
23.6%
C 2339
15.4%
S 1211
 
8.0%
N 1007
 
6.6%
B 851
 
5.6%
M 791
 
5.2%
T 761
 
5.0%
F 746
 
4.9%
A 701
 
4.6%
H 661
 
4.4%
Other values (16) 2509
16.6%
Other Punctuation
ValueCountFrequency (%)
, 3633
47.1%
. 2480
32.1%
% 1046
 
13.6%
/ 301
 
3.9%
: 196
 
2.5%
; 29
 
0.4%
· 22
 
0.3%
& 6
 
0.1%
' 3
 
< 0.1%
* 3
 
< 0.1%
Decimal Number
ValueCountFrequency (%)
0 3201
24.5%
2 2732
20.9%
3 2058
15.7%
1 1674
12.8%
5 1071
 
8.2%
9 704
 
5.4%
4 609
 
4.7%
6 412
 
3.1%
8 328
 
2.5%
7 302
 
2.3%
Math Symbol
ValueCountFrequency (%)
< 826
35.9%
= 765
33.2%
+ 540
23.4%
~ 101
 
4.4%
± 52
 
2.3%
18
 
0.8%
> 1
 
< 0.1%
Other Symbol
ValueCountFrequency (%)
11
35.5%
8
25.8%
° 6
19.4%
® 3
 
9.7%
2
 
6.5%
1
 
3.2%
Open Punctuation
ValueCountFrequency (%)
( 965
93.9%
[ 50
 
4.9%
{ 13
 
1.3%
Close Punctuation
ValueCountFrequency (%)
) 964
93.9%
] 50
 
4.9%
} 13
 
1.3%
Space Separator
ValueCountFrequency (%)
10756
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 791
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 15
100.0%
Control
ValueCountFrequency (%)
2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 58659
60.0%
Common 36763
37.6%
Hangul 2367
 
2.4%
Greek 39
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
196
 
8.3%
140
 
5.9%
131
 
5.5%
127
 
5.4%
90
 
3.8%
78
 
3.3%
72
 
3.0%
70
 
3.0%
70
 
3.0%
66
 
2.8%
Other values (144) 1327
56.1%
Latin
ValueCountFrequency (%)
e 5016
 
8.6%
i 4220
 
7.2%
a 4183
 
7.1%
t 3907
 
6.7%
O 3583
 
6.1%
o 3034
 
5.2%
n 2974
 
5.1%
r 2500
 
4.3%
C 2339
 
4.0%
l 2226
 
3.8%
Other values (43) 24677
42.1%
Common
ValueCountFrequency (%)
10756
29.3%
, 3633
 
9.9%
0 3201
 
8.7%
2 2732
 
7.4%
. 2480
 
6.7%
3 2058
 
5.6%
1 1674
 
4.6%
5 1071
 
2.9%
% 1046
 
2.8%
( 965
 
2.6%
Other values (33) 7147
19.4%
Greek
ValueCountFrequency (%)
δ 28
71.8%
α 9
 
23.1%
β 1
 
2.6%
λ 1
 
2.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 95298
97.4%
Hangul 2367
 
2.4%
None 123
 
0.1%
Math Operators 18
 
< 0.1%
CJK Compat 14
 
< 0.1%
Letterlike Symbols 8
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
10756
 
11.3%
e 5016
 
5.3%
i 4220
 
4.4%
a 4183
 
4.4%
t 3907
 
4.1%
, 3633
 
3.8%
O 3583
 
3.8%
0 3201
 
3.4%
o 3034
 
3.2%
n 2974
 
3.1%
Other values (76) 50791
53.3%
Hangul
ValueCountFrequency (%)
196
 
8.3%
140
 
5.9%
131
 
5.5%
127
 
5.4%
90
 
3.8%
78
 
3.3%
72
 
3.0%
70
 
3.0%
70
 
3.0%
66
 
2.8%
Other values (144) 1327
56.1%
None
ValueCountFrequency (%)
± 52
42.3%
δ 28
22.8%
· 22
17.9%
α 9
 
7.3%
° 6
 
4.9%
® 3
 
2.4%
ı 1
 
0.8%
β 1
 
0.8%
λ 1
 
0.8%
Math Operators
ValueCountFrequency (%)
18
100.0%
CJK Compat
ValueCountFrequency (%)
11
78.6%
2
 
14.3%
1
 
7.1%
Letterlike Symbols
ValueCountFrequency (%)
8
100.0%
Distinct830
Distinct (%)8.4%
Missing82
Missing (%)0.8%
Memory size156.2 KiB
Minimum2007-12-01 00:00:00
Maximum2019-01-10 00:00:00
2023-12-13T05:56:10.649515image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:56:10.843470image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

수정자
Categorical

IMBALANCE 

Distinct28
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
9032 
김경훈
 
200
조정호A
 
114
전영갑
 
97
백종후B
 
92
Other values (23)
 
465

Length

Max length8
Median length4
Mean length3.9431
Min length3

Unique

Unique4 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 9032
90.3%
김경훈 200
 
2.0%
조정호A 114
 
1.1%
전영갑 97
 
1.0%
백종후B 92
 
0.9%
전명표 65
 
0.7%
황종희 62
 
0.6%
admin 57
 
0.6%
임태영 54
 
0.5%
백종후A 52
 
0.5%
Other values (18) 175
 
1.8%

Length

2023-12-13T05:56:11.020093image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 9032
90.3%
김경훈 200
 
2.0%
조정호a 114
 
1.1%
전영갑 97
 
1.0%
백종후b 92
 
0.9%
전명표 65
 
0.7%
황종희 62
 
0.6%
admin 57
 
0.6%
임태영 54
 
0.5%
백종후a 52
 
0.5%
Other values (18) 175
 
1.8%

수정일시
Date

MISSING 

Distinct25
Distinct (%)1.4%
Missing8225
Missing (%)82.2%
Memory size156.2 KiB
Minimum2010-01-01 00:00:00
Maximum2017-07-02 00:00:00
2023-12-13T05:56:11.146222image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:56:11.262011image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)

입력자코멘트
Text

MISSING 

Distinct59
Distinct (%)100.0%
Missing9941
Missing (%)99.4%
Memory size156.2 KiB
2023-12-13T05:56:11.463272image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length16
Mean length16
Min length16

Characters and Unicode

Total characters944
Distinct characters12
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique59 ?
Unique (%)100.0%

Sample

1st row수정20110324171710
2nd row수정20110728124235
3rd row수정20110728133424
4th row수정20110221132157
5th row수정20110324110554
ValueCountFrequency (%)
수정20110324171710 1
 
1.7%
수정20110728154531 1
 
1.7%
수정20110728154439 1
 
1.7%
수정20110307155237 1
 
1.7%
수정20110324170841 1
 
1.7%
수정20101021145556 1
 
1.7%
수정20110406113255 1
 
1.7%
수정20110728124810 1
 
1.7%
수정20110620163855 1
 
1.7%
수정20110324155838 1
 
1.7%
Other values (49) 49
83.1%
2023-12-13T05:56:11.856534image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 211
22.4%
0 167
17.7%
2 159
16.8%
3 77
 
8.2%
59
 
6.2%
59
 
6.2%
4 54
 
5.7%
5 52
 
5.5%
7 42
 
4.4%
8 33
 
3.5%
Other values (2) 31
 
3.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 826
87.5%
Other Letter 118
 
12.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 211
25.5%
0 167
20.2%
2 159
19.2%
3 77
 
9.3%
4 54
 
6.5%
5 52
 
6.3%
7 42
 
5.1%
8 33
 
4.0%
6 18
 
2.2%
9 13
 
1.6%
Other Letter
ValueCountFrequency (%)
59
50.0%
59
50.0%

Most occurring scripts

ValueCountFrequency (%)
Common 826
87.5%
Hangul 118
 
12.5%

Most frequent character per script

Common
ValueCountFrequency (%)
1 211
25.5%
0 167
20.2%
2 159
19.2%
3 77
 
9.3%
4 54
 
6.5%
5 52
 
6.3%
7 42
 
5.1%
8 33
 
4.0%
6 18
 
2.2%
9 13
 
1.6%
Hangul
ValueCountFrequency (%)
59
50.0%
59
50.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 826
87.5%
Hangul 118
 
12.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 211
25.5%
0 167
20.2%
2 159
19.2%
3 77
 
9.3%
4 54
 
6.5%
5 52
 
6.3%
7 42
 
5.1%
8 33
 
4.0%
6 18
 
2.2%
9 13
 
1.6%
Hangul
ValueCountFrequency (%)
59
50.0%
59
50.0%

책임자코멘트
Text

MISSING 

Distinct8
Distinct (%)53.3%
Missing9985
Missing (%)99.9%
Memory size156.2 KiB
2023-12-13T05:56:12.078982image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length60
Median length52
Mean length17.2
Min length4

Characters and Unicode

Total characters258
Distinct characters94
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique5 ?
Unique (%)33.3%

Sample

1st rowABO3에 맞춰서 수정
2nd row물성값 X, Y 축 값이 바뀐것 같습니다. 공정에 공정값은 없나요
3rd row출발물질 기입요망
4th row출발물질 기입요망
5th rowTest
ValueCountFrequency (%)
abo3에 5
 
8.1%
수정 5
 
8.1%
맞춰서 5
 
8.1%
출발물질 3
 
4.8%
기입요망 3
 
4.8%
소결시간은 2
 
3.2%
2
 
3.2%
cazro3 1
 
1.6%
원자 1
 
1.6%
위치를 1
 
1.6%
Other values (34) 34
54.8%
2023-12-13T05:56:12.423383image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
50
 
19.4%
9
 
3.5%
O 8
 
3.1%
3 7
 
2.7%
6
 
2.3%
6
 
2.3%
A 5
 
1.9%
5
 
1.9%
B 5
 
1.9%
5
 
1.9%
Other values (84) 152
58.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 141
54.7%
Space Separator 50
 
19.4%
Uppercase Letter 33
 
12.8%
Lowercase Letter 16
 
6.2%
Decimal Number 11
 
4.3%
Other Punctuation 6
 
2.3%
Control 1
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
9
 
6.4%
6
 
4.3%
6
 
4.3%
5
 
3.5%
5
 
3.5%
5
 
3.5%
5
 
3.5%
4
 
2.8%
4
 
2.8%
4
 
2.8%
Other values (58) 88
62.4%
Uppercase Letter
ValueCountFrequency (%)
O 8
24.2%
A 5
15.2%
B 5
15.2%
C 4
12.1%
P 3
 
9.1%
T 2
 
6.1%
Z 1
 
3.0%
J 1
 
3.0%
X 1
 
3.0%
Y 1
 
3.0%
Other values (2) 2
 
6.1%
Lowercase Letter
ValueCountFrequency (%)
a 4
25.0%
e 3
18.8%
s 3
18.8%
i 2
12.5%
t 2
12.5%
r 1
 
6.2%
h 1
 
6.2%
Decimal Number
ValueCountFrequency (%)
3 7
63.6%
2 3
27.3%
7 1
 
9.1%
Other Punctuation
ValueCountFrequency (%)
. 4
66.7%
, 2
33.3%
Space Separator
ValueCountFrequency (%)
50
100.0%
Control
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 141
54.7%
Common 68
26.4%
Latin 49
 
19.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
9
 
6.4%
6
 
4.3%
6
 
4.3%
5
 
3.5%
5
 
3.5%
5
 
3.5%
5
 
3.5%
4
 
2.8%
4
 
2.8%
4
 
2.8%
Other values (58) 88
62.4%
Latin
ValueCountFrequency (%)
O 8
16.3%
A 5
10.2%
B 5
10.2%
C 4
 
8.2%
a 4
 
8.2%
e 3
 
6.1%
s 3
 
6.1%
P 3
 
6.1%
i 2
 
4.1%
t 2
 
4.1%
Other values (9) 10
20.4%
Common
ValueCountFrequency (%)
50
73.5%
3 7
 
10.3%
. 4
 
5.9%
2 3
 
4.4%
, 2
 
2.9%
1
 
1.5%
7 1
 
1.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 141
54.7%
ASCII 117
45.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
50
42.7%
O 8
 
6.8%
3 7
 
6.0%
A 5
 
4.3%
B 5
 
4.3%
. 4
 
3.4%
C 4
 
3.4%
a 4
 
3.4%
2 3
 
2.6%
e 3
 
2.6%
Other values (16) 24
20.5%
Hangul
ValueCountFrequency (%)
9
 
6.4%
6
 
4.3%
6
 
4.3%
5
 
3.5%
5
 
3.5%
5
 
3.5%
5
 
3.5%
4
 
2.8%
4
 
2.8%
4
 
2.8%
Other values (58) 88
62.4%

에디터
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
5080 
kjk
4920 

Length

Max length4
Median length4
Mean length3.508
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowkjk
2nd rowkjk
3rd row<NA>
4th rowkjk
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 5080
50.8%
kjk 4920
49.2%

Length

2023-12-13T05:56:12.572368image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T05:56:12.668173image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 5080
50.8%
kjk 4920
49.2%

에디터코멘트
Categorical

IMBALANCE 

Distinct39
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
9883 
server의 문제로 pdf 파일이 다운되지 않습니다. 다시 올려주십시오.
 
39
patent No 앞 한글 "특"자 삭제  특허는 등록, 공개, 출원 의 번호 중 어느 것인지를 기입하는 것이 더욱 중요하며. 기입 시 영문표시 Usage가 그냥 "ceramics" 는 아니며, 압전체 세라믹중 어느 용도나 응용분야인지를 기입.
 
9
molding Pressure 물성명만 있고 data 가 없네요. data 있다면 넣어 주시고, 없다면 물성명 삭제바랍니다.
 
6
Process Note "singering" 오타 "sintering" 으로 정정바람.
 
5
Other values (34)
 
58

Length

Max length328
Median length4
Mean length4.8258
Min length4

Unique

Unique20 ?
Unique (%)0.2%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 9883
98.8%
server의 문제로 pdf 파일이 다운되지 않습니다. 다시 올려주십시오. 39
 
0.4%
patent No 앞 한글 "특"자 삭제  특허는 등록, 공개, 출원 의 번호 중 어느 것인지를 기입하는 것이 더욱 중요하며. 기입 시 영문표시 Usage가 그냥 "ceramics" 는 아니며, 압전체 세라믹중 어느 용도나 응용분야인지를 기입. 9
 
0.1%
molding Pressure 물성명만 있고 data 가 없네요. data 있다면 넣어 주시고, 없다면 물성명 삭제바랍니다. 6
 
0.1%
Process Note "singering" 오타 "sintering" 으로 정정바람. 5
 
0.1%
patentee 영문(임기조 라면 발음 영문으로 기입, starting materials 배합비 수치 있으면 기입하시고, 없으면 화학식도 삭제 바람. 5
 
0.1%
source, patentee, patent No. 한글을 영문표기 usage의 "ceramics"는 이상함. 압전체 중의 어느 용도, 응용분얋 표기바람. 5
 
0.1%
mixing time 물성명만 있고 data는 없네요. data 가 있다면 넣어주시고, 없다면 물성명 삭제바랍니다. 4
 
< 0.1%
patent No  한글" 특" 자 삭제 3
 
< 0.1%
Phase coefficient 1 에 1, A-site 에 In 2, X-site O 3, Phase coefficient 2 에 1, A-site 에 Sn 1, X-site O 2 3
 
< 0.1%
Other values (29) 38
 
0.4%

Length

2023-12-13T05:56:12.792254image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 9885
84.7%
1 44
 
0.4%
올려주십시오 40
 
0.3%
pdf 40
 
0.3%
파일이 40
 
0.3%
다운되지 40
 
0.3%
않습니다 40
 
0.3%
다시 40
 
0.3%
server의 39
 
0.3%
문제로 39
 
0.3%
Other values (393) 1418
 
12.2%

신뢰도상태
Real number (ℝ)

MISSING 

Distinct7
Distinct (%)0.1%
Missing101
Missing (%)1.0%
Infinite0
Infinite (%)0.0%
Mean525.43691
Minimum100
Maximum900
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-13T05:56:12.892990image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum100
5-th percentile200
Q1200
median800
Q3800
95-th percentile900
Maximum900
Range800
Interquartile range (IQR)600

Descriptive statistics

Standard deviation304.69734
Coefficient of variation (CV)0.5798933
Kurtosis-1.8810392
Mean525.43691
Median Absolute Deviation (MAD)100
Skewness-0.044172001
Sum5201300
Variance92840.471
MonotonicityNot monotonic
2023-12-13T05:56:12.994852image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
800 3837
38.4%
200 3070
30.7%
300 1404
 
14.0%
900 1152
 
11.5%
100 395
 
4.0%
500 38
 
0.4%
400 3
 
< 0.1%
(Missing) 101
 
1.0%
ValueCountFrequency (%)
100 395
 
4.0%
200 3070
30.7%
300 1404
 
14.0%
400 3
 
< 0.1%
500 38
 
0.4%
800 3837
38.4%
900 1152
 
11.5%
ValueCountFrequency (%)
900 1152
 
11.5%
800 3837
38.4%
500 38
 
0.4%
400 3
 
< 0.1%
300 1404
 
14.0%
200 3070
30.7%
100 395
 
4.0%

공정노트
Text

MISSING 

Distinct932
Distinct (%)26.6%
Missing6495
Missing (%)65.0%
Memory size156.2 KiB
2023-12-13T05:56:13.277950image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length986
Median length430
Mean length134.38174
Min length2

Characters and Unicode

Total characters471008
Distinct characters280
Distinct categories17 ?
Distinct scripts5 ?
Distinct blocks10 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique476 ?
Unique (%)13.6%

Sample

1st rowmixing and milling, drying, calcinatin, milling, drying, adding PVA, pressing, sintering, electroding, poling
2nd rowBrick
3rd rowMixing - Drying - Calcining - Mixing(CuO) - Drying - Forming(diameter 18mm, thickness 1.5mm) - Sintering - Electrode - Polarization
4th rowBall(6190g), Ball size(5pi,15pi), powder weight(640g)
5th rowelectrochemical deposition method
ValueCountFrequency (%)
4465
 
7.5%
and 786
 
1.3%
sintering 757
 
1.3%
milling 657
 
1.1%
the 655
 
1.1%
drying 646
 
1.1%
ball 620
 
1.0%
dry 562
 
0.9%
mixing 552
 
0.9%
electrode 509
 
0.9%
Other values (3530) 49195
82.8%
2023-12-13T05:56:13.722789image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
56217
 
11.9%
i 34159
 
7.3%
n 27013
 
5.7%
e 26832
 
5.7%
t 21532
 
4.6%
r 20990
 
4.5%
l 17605
 
3.7%
a 17325
 
3.7%
, 15778
 
3.3%
o 15471
 
3.3%
Other values (270) 218086
46.3%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 285357
60.6%
Space Separator 56217
 
11.9%
Decimal Number 42230
 
9.0%
Other Punctuation 23012
 
4.9%
Uppercase Letter 20490
 
4.4%
Open Punctuation 9322
 
2.0%
Close Punctuation 9322
 
2.0%
Math Symbol 7349
 
1.6%
Other Letter 7024
 
1.5%
Dash Punctuation 6467
 
1.4%
Other values (7) 4218
 
0.9%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
381
 
5.4%
269
 
3.8%
231
 
3.3%
218
 
3.1%
190
 
2.7%
175
 
2.5%
155
 
2.2%
149
 
2.1%
148
 
2.1%
148
 
2.1%
Other values (146) 4960
70.6%
Lowercase Letter
ValueCountFrequency (%)
i 34159
12.0%
n 27013
 
9.5%
e 26832
 
9.4%
t 21532
 
7.5%
r 20990
 
7.4%
l 17605
 
6.2%
a 17325
 
6.1%
o 15471
 
5.4%
g 14966
 
5.2%
s 14565
 
5.1%
Other values (24) 74899
26.2%
Uppercase Letter
ValueCountFrequency (%)
P 3026
14.8%
C 2568
12.5%
A 1983
9.7%
V 1519
 
7.4%
S 1230
 
6.0%
T 1189
 
5.8%
D 1141
 
5.6%
O 1097
 
5.4%
M 1041
 
5.1%
N 885
 
4.3%
Other values (19) 4811
23.5%
Other Punctuation
ValueCountFrequency (%)
, 15778
68.6%
. 2457
 
10.7%
: 1608
 
7.0%
/ 1583
 
6.9%
% 838
 
3.6%
* 237
 
1.0%
& 212
 
0.9%
; 198
 
0.9%
· 49
 
0.2%
" 31
 
0.1%
Other values (2) 21
 
0.1%
Other Symbol
ValueCountFrequency (%)
2198
55.5%
898
22.7%
267
 
6.7%
198
 
5.0%
143
 
3.6%
92
 
2.3%
° 61
 
1.5%
45
 
1.1%
39
 
1.0%
18
 
0.5%
Other values (2) 4
 
0.1%
Decimal Number
ValueCountFrequency (%)
0 15203
36.0%
1 8508
20.1%
2 4946
 
11.7%
5 4734
 
11.2%
3 3036
 
7.2%
4 1961
 
4.6%
6 1266
 
3.0%
8 1009
 
2.4%
7 807
 
1.9%
9 760
 
1.8%
Math Symbol
ValueCountFrequency (%)
~ 2386
32.5%
> 2256
30.7%
= 1464
19.9%
+ 1203
16.4%
× 27
 
0.4%
9
 
0.1%
< 3
 
< 0.1%
1
 
< 0.1%
Open Punctuation
ValueCountFrequency (%)
( 9148
98.1%
[ 93
 
1.0%
{ 80
 
0.9%
1
 
< 0.1%
Close Punctuation
ValueCountFrequency (%)
) 9147
98.1%
] 93
 
1.0%
} 80
 
0.9%
2
 
< 0.1%
Modifier Symbol
ValueCountFrequency (%)
^ 193
99.5%
˚ 1
 
0.5%
Other Number
ValueCountFrequency (%)
6
66.7%
¼ 3
33.3%
Final Punctuation
ValueCountFrequency (%)
1
50.0%
1
50.0%
Space Separator
ValueCountFrequency (%)
56217
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 6467
100.0%
Control
ValueCountFrequency (%)
43
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 6
100.0%
Initial Punctuation
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 305800
64.9%
Common 158149
33.6%
Hangul 7024
 
1.5%
Greek 33
 
< 0.1%
Cyrillic 2
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
381
 
5.4%
269
 
3.8%
231
 
3.3%
218
 
3.1%
190
 
2.7%
175
 
2.5%
155
 
2.2%
149
 
2.1%
148
 
2.1%
148
 
2.1%
Other values (146) 4960
70.6%
Common
ValueCountFrequency (%)
56217
35.5%
, 15778
 
10.0%
0 15203
 
9.6%
( 9148
 
5.8%
) 9147
 
5.8%
1 8508
 
5.4%
- 6467
 
4.1%
2 4946
 
3.1%
5 4734
 
3.0%
3 3036
 
1.9%
Other values (52) 24965
15.8%
Latin
ValueCountFrequency (%)
i 34159
 
11.2%
n 27013
 
8.8%
e 26832
 
8.8%
t 21532
 
7.0%
r 20990
 
6.9%
l 17605
 
5.8%
a 17325
 
5.7%
o 15471
 
5.1%
g 14966
 
4.9%
s 14565
 
4.8%
Other values (45) 95342
31.2%
Greek
ValueCountFrequency (%)
Φ 19
57.6%
μ 5
 
15.2%
α 3
 
9.1%
β 3
 
9.1%
φ 2
 
6.1%
δ 1
 
3.0%
Cyrillic
ValueCountFrequency (%)
Ф 2
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 459862
97.6%
Hangul 7022
 
1.5%
Letterlike Symbols 2210
 
0.5%
CJK Compat 1704
 
0.4%
None 192
 
< 0.1%
Math Operators 10
 
< 0.1%
Punctuation 3
 
< 0.1%
Compat Jamo 2
 
< 0.1%
Cyrillic 2
 
< 0.1%
Modifier Letters 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
56217
 
12.2%
i 34159
 
7.4%
n 27013
 
5.9%
e 26832
 
5.8%
t 21532
 
4.7%
r 20990
 
4.6%
l 17605
 
3.8%
a 17325
 
3.8%
, 15778
 
3.4%
o 15471
 
3.4%
Other values (79) 206940
45.0%
Letterlike Symbols
ValueCountFrequency (%)
2198
99.5%
12
 
0.5%
CJK Compat
ValueCountFrequency (%)
898
52.7%
267
 
15.7%
198
 
11.6%
143
 
8.4%
92
 
5.4%
45
 
2.6%
39
 
2.3%
18
 
1.1%
2
 
0.1%
2
 
0.1%
Hangul
ValueCountFrequency (%)
381
 
5.4%
269
 
3.8%
231
 
3.3%
218
 
3.1%
190
 
2.7%
175
 
2.5%
155
 
2.2%
149
 
2.1%
148
 
2.1%
148
 
2.1%
Other values (145) 4958
70.6%
None
ValueCountFrequency (%)
° 61
31.8%
· 49
25.5%
× 27
14.1%
Φ 19
 
9.9%
ø 6
 
3.1%
6
 
3.1%
μ 5
 
2.6%
α 3
 
1.6%
β 3
 
1.6%
¼ 3
 
1.6%
Other values (6) 10
 
5.2%
Math Operators
ValueCountFrequency (%)
9
90.0%
1
 
10.0%
Compat Jamo
ValueCountFrequency (%)
2
100.0%
Cyrillic
ValueCountFrequency (%)
Ф 2
100.0%
Punctuation
ValueCountFrequency (%)
1
33.3%
1
33.3%
1
33.3%
Modifier Letters
ValueCountFrequency (%)
˚ 1
100.0%

소재그룹번호
Text

MISSING 

Distinct681
Distinct (%)24.3%
Missing7197
Missing (%)72.0%
Memory size156.2 KiB
2023-12-13T05:56:14.033700image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length16
Mean length6.9896539
Min length1

Characters and Unicode

Total characters19592
Distinct characters70
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique361 ?
Unique (%)12.9%

Sample

1st rowKPE-A54
2nd rowSGN-36
3rd rowCYR-10-2002-0069973
4th row80
5th row2015-16
ValueCountFrequency (%)
1.02e+12 102
 
3.5%
pgj-7 82
 
2.8%
d 71
 
2.4%
cyr-10-2002-0069973 56
 
1.9%
565 49
 
1.7%
1 46
 
1.6%
cyr-10-2001-0086415 44
 
1.5%
j.am.ceram.soc.86 44
 
1.5%
4 41
 
1.4%
3 39
 
1.3%
Other values (605) 2375
80.5%
2023-12-13T05:56:14.481510image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 2533
 
12.9%
1 2267
 
11.6%
- 1805
 
9.2%
2 1640
 
8.4%
3 811
 
4.1%
6 730
 
3.7%
4 707
 
3.6%
7 699
 
3.6%
5 673
 
3.4%
. 566
 
2.9%
Other values (60) 7161
36.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 11076
56.5%
Uppercase Letter 4229
 
21.6%
Dash Punctuation 1811
 
9.2%
Lowercase Letter 1519
 
7.8%
Other Punctuation 579
 
3.0%
Space Separator 147
 
0.8%
Math Symbol 102
 
0.5%
Connector Punctuation 55
 
0.3%
Open Punctuation 27
 
0.1%
Close Punctuation 27
 
0.1%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
J 535
12.7%
C 517
12.2%
P 456
10.8%
G 452
10.7%
S 411
9.7%
E 217
 
5.1%
Y 209
 
4.9%
R 193
 
4.6%
D 146
 
3.5%
M 137
 
3.2%
Other values (14) 956
22.6%
Lowercase Letter
ValueCountFrequency (%)
r 206
13.6%
e 190
12.5%
m 180
11.8%
a 154
10.1%
i 152
10.0%
c 135
8.9%
t 96
6.3%
o 96
6.3%
n 52
 
3.4%
b 38
 
2.5%
Other values (12) 220
14.5%
Decimal Number
ValueCountFrequency (%)
0 2533
22.9%
1 2267
20.5%
2 1640
14.8%
3 811
 
7.3%
6 730
 
6.6%
4 707
 
6.4%
7 699
 
6.3%
5 673
 
6.1%
8 516
 
4.7%
9 500
 
4.5%
Other Punctuation
ValueCountFrequency (%)
. 566
97.8%
, 12
 
2.1%
/ 1
 
0.2%
Dash Punctuation
ValueCountFrequency (%)
- 1805
99.7%
6
 
0.3%
Open Punctuation
ValueCountFrequency (%)
( 18
66.7%
[ 9
33.3%
Close Punctuation
ValueCountFrequency (%)
) 18
66.7%
] 9
33.3%
Other Letter
ValueCountFrequency (%)
10
50.0%
10
50.0%
Space Separator
ValueCountFrequency (%)
147
100.0%
Math Symbol
ValueCountFrequency (%)
+ 102
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 55
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 13824
70.6%
Latin 5748
29.3%
Hangul 20
 
0.1%

Most frequent character per script

Latin
ValueCountFrequency (%)
J 535
 
9.3%
C 517
 
9.0%
P 456
 
7.9%
G 452
 
7.9%
S 411
 
7.2%
E 217
 
3.8%
Y 209
 
3.6%
r 206
 
3.6%
R 193
 
3.4%
e 190
 
3.3%
Other values (36) 2362
41.1%
Common
ValueCountFrequency (%)
0 2533
18.3%
1 2267
16.4%
- 1805
13.1%
2 1640
11.9%
3 811
 
5.9%
6 730
 
5.3%
4 707
 
5.1%
7 699
 
5.1%
5 673
 
4.9%
. 566
 
4.1%
Other values (12) 1393
10.1%
Hangul
ValueCountFrequency (%)
10
50.0%
10
50.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 19566
99.9%
Hangul 20
 
0.1%
None 6
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 2533
 
12.9%
1 2267
 
11.6%
- 1805
 
9.2%
2 1640
 
8.4%
3 811
 
4.1%
6 730
 
3.7%
4 707
 
3.6%
7 699
 
3.6%
5 673
 
3.4%
. 566
 
2.9%
Other values (57) 7135
36.5%
Hangul
ValueCountFrequency (%)
10
50.0%
10
50.0%
None
ValueCountFrequency (%)
6
100.0%

노트
Text

MISSING 

Distinct2219
Distinct (%)50.7%
Missing5620
Missing (%)56.2%
Memory size156.2 KiB
2023-12-13T05:56:14.784743image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length76
Median length44
Mean length10.865982
Min length1

Characters and Unicode

Total characters47593
Distinct characters119
Distinct categories14 ?
Distinct scripts4 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1939 ?
Unique (%)44.3%

Sample

1st row102실시예17-1
2nd row80
3rd rowVeritas
4th rowG-14
5th row1020090125279-21
ValueCountFrequency (%)
nitride 222
 
3.4%
cathode 187
 
2.9%
1.02e+12 160
 
2.5%
oxide 160
 
2.5%
silicon 155
 
2.4%
sofc 141
 
2.2%
electrolyte 134
 
2.1%
titanate 133
 
2.0%
lead 127
 
2.0%
aluminum 126
 
1.9%
Other values (2299) 4953
76.2%
2023-12-13T05:56:15.295675image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
i 2914
 
6.1%
e 2828
 
5.9%
1 2720
 
5.7%
- 2689
 
5.6%
0 2584
 
5.4%
t 2237
 
4.7%
2123
 
4.5%
2 2037
 
4.3%
a 2005
 
4.2%
n 1625
 
3.4%
Other values (109) 23831
50.1%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 22596
47.5%
Decimal Number 12474
26.2%
Uppercase Letter 6303
 
13.2%
Dash Punctuation 2695
 
5.7%
Space Separator 2123
 
4.5%
Other Letter 602
 
1.3%
Other Punctuation 305
 
0.6%
Math Symbol 175
 
0.4%
Close Punctuation 111
 
0.2%
Open Punctuation 111
 
0.2%
Other values (4) 98
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
57
 
9.5%
54
 
9.0%
54
 
9.0%
32
 
5.3%
32
 
5.3%
32
 
5.3%
32
 
5.3%
32
 
5.3%
32
 
5.3%
32
 
5.3%
Other values (21) 213
35.4%
Lowercase Letter
ValueCountFrequency (%)
i 2914
12.9%
e 2828
12.5%
t 2237
9.9%
a 2005
8.9%
n 1625
 
7.2%
o 1580
 
7.0%
r 1362
 
6.0%
l 1327
 
5.9%
c 1190
 
5.3%
d 1178
 
5.2%
Other values (19) 4350
19.3%
Uppercase Letter
ValueCountFrequency (%)
C 867
13.8%
P 538
 
8.5%
A 485
 
7.7%
S 464
 
7.4%
R 363
 
5.8%
Y 328
 
5.2%
O 322
 
5.1%
E 283
 
4.5%
F 258
 
4.1%
N 255
 
4.0%
Other values (16) 2140
34.0%
Decimal Number
ValueCountFrequency (%)
1 2720
21.8%
0 2584
20.7%
2 2037
16.3%
3 1128
9.0%
4 814
 
6.5%
7 781
 
6.3%
5 640
 
5.1%
9 599
 
4.8%
8 590
 
4.7%
6 581
 
4.7%
Other Punctuation
ValueCountFrequency (%)
. 238
78.0%
/ 28
 
9.2%
, 13
 
4.3%
" 12
 
3.9%
% 8
 
2.6%
; 3
 
1.0%
& 2
 
0.7%
# 1
 
0.3%
Other Number
ValueCountFrequency (%)
5
45.5%
4
36.4%
2
 
18.2%
Dash Punctuation
ValueCountFrequency (%)
- 2689
99.8%
6
 
0.2%
Math Symbol
ValueCountFrequency (%)
+ 165
94.3%
= 10
 
5.7%
Close Punctuation
ValueCountFrequency (%)
) 102
91.9%
] 9
 
8.1%
Open Punctuation
ValueCountFrequency (%)
( 102
91.9%
[ 9
 
8.1%
Space Separator
ValueCountFrequency (%)
2123
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 85
100.0%
Modifier Symbol
ValueCountFrequency (%)
^ 1
100.0%
Control
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 28890
60.7%
Common 18092
38.0%
Hangul 602
 
1.3%
Greek 9
 
< 0.1%

Most frequent character per script

Latin
ValueCountFrequency (%)
i 2914
 
10.1%
e 2828
 
9.8%
t 2237
 
7.7%
a 2005
 
6.9%
n 1625
 
5.6%
o 1580
 
5.5%
r 1362
 
4.7%
l 1327
 
4.6%
c 1190
 
4.1%
d 1178
 
4.1%
Other values (41) 10644
36.8%
Common
ValueCountFrequency (%)
1 2720
15.0%
- 2689
14.9%
0 2584
14.3%
2123
11.7%
2 2037
11.3%
3 1128
6.2%
4 814
 
4.5%
7 781
 
4.3%
5 640
 
3.5%
9 599
 
3.3%
Other values (23) 1977
10.9%
Hangul
ValueCountFrequency (%)
57
 
9.5%
54
 
9.0%
54
 
9.0%
32
 
5.3%
32
 
5.3%
32
 
5.3%
32
 
5.3%
32
 
5.3%
32
 
5.3%
32
 
5.3%
Other values (21) 213
35.4%
Greek
ValueCountFrequency (%)
α 4
44.4%
δ 3
33.3%
λ 1
 
11.1%
γ 1
 
11.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 46965
98.7%
Hangul 602
 
1.3%
None 26
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
i 2914
 
6.2%
e 2828
 
6.0%
1 2720
 
5.8%
- 2689
 
5.7%
0 2584
 
5.5%
t 2237
 
4.8%
2123
 
4.5%
2 2037
 
4.3%
a 2005
 
4.3%
n 1625
 
3.5%
Other values (70) 23203
49.4%
Hangul
ValueCountFrequency (%)
57
 
9.5%
54
 
9.0%
54
 
9.0%
32
 
5.3%
32
 
5.3%
32
 
5.3%
32
 
5.3%
32
 
5.3%
32
 
5.3%
32
 
5.3%
Other values (21) 213
35.4%
None
ValueCountFrequency (%)
6
23.1%
5
19.2%
α 4
15.4%
4
15.4%
δ 3
11.5%
2
 
7.7%
λ 1
 
3.8%
γ 1
 
3.8%

유리품목
Categorical

IMBALANCE 

Distinct33
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
9347 
S2999000
 
219
S2002002
 
86
S2003001
 
62
S1999000
 
59
Other values (28)
 
227

Length

Max length18
Median length4
Mean length4.2665
Min length4

Unique

Unique8 ?
Unique (%)0.1%

Sample

1st rowS2003001
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 9347
93.5%
S2999000 219
 
2.2%
S2002002 86
 
0.9%
S2003001 62
 
0.6%
S1999000 59
 
0.6%
S1001000 52
 
0.5%
S2001003 27
 
0.3%
30000000 24
 
0.2%
S1002000 18
 
0.2%
S1004000 16
 
0.2%
Other values (23) 90
 
0.9%

Length

2023-12-13T05:56:15.449641image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 9347
93.5%
s2999000 219
 
2.2%
s2002002 86
 
0.9%
s2003001 62
 
0.6%
s1999000 59
 
0.6%
s1001000 52
 
0.5%
s2001003 27
 
0.3%
30000000 24
 
0.2%
s1002000 18
 
0.2%
s1004000 16
 
0.2%
Other values (24) 92
 
0.9%

소재소스노트
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

승인일자
Date

MISSING 

Distinct284
Distinct (%)5.6%
Missing4915
Missing (%)49.1%
Memory size156.2 KiB
Minimum2007-12-01 00:00:00
Maximum2020-05-08 00:00:00
2023-12-13T05:56:15.591427image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:56:15.766550image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

소재레벨
Categorical

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
B
7603 
A
2283 
<NA>
 
114

Length

Max length4
Median length1
Mean length1.0342
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowB
2nd rowA
3rd rowB
4th rowB
5th rowB

Common Values

ValueCountFrequency (%)
B 7603
76.0%
A 2283
 
22.8%
<NA> 114
 
1.1%

Length

2023-12-13T05:56:15.956609image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T05:56:16.092128image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
b 7603
76.0%
a 2283
 
22.8%
na 114
 
1.1%

구분
Categorical

IMBALANCE 

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
1
9893 
2
 
101
<NA>
 
6

Length

Max length4
Median length1
Mean length1.0018
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row1
3rd row1
4th row1
5th row1

Common Values

ValueCountFrequency (%)
1 9893
98.9%
2 101
 
1.0%
<NA> 6
 
0.1%

Length

2023-12-13T05:56:16.564929image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T05:56:16.685290image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 9893
98.9%
2 101
 
1.0%
na 6
 
0.1%

파일
Text

MISSING 

Distinct92
Distinct (%)18.9%
Missing9514
Missing (%)95.1%
Memory size156.2 KiB
2023-12-13T05:56:16.939193image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length108
Median length94
Mean length19.372428
Min length5

Characters and Unicode

Total characters9415
Distinct characters70
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique42 ?
Unique (%)8.6%

Sample

1st row[]1020100093777.pdf
2nd row10201370157291.pdf
3rd row1020040014223.pdf
4th row1020060120341.pdf
5th row1020020076213.pdf
ValueCountFrequency (%)
1020100093777.pdf 67
 
10.5%
10201101313101.pdf 48
 
7.5%
1020040014223.pdf 34
 
5.3%
1020057022516.pdf 24
 
3.8%
1020000021259.pdf 19
 
3.0%
1020060120341.pdf 18
 
2.8%
10201370157291.pdf 18
 
2.8%
10200870091801.pdf 17
 
2.7%
of 16
 
2.5%
10201370292401.pdf 15
 
2.3%
Other values (124) 363
56.8%
2023-12-13T05:56:17.394780image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 1717
18.2%
1 1265
13.4%
2 744
 
7.9%
p 545
 
5.8%
. 531
 
5.6%
7 458
 
4.9%
f 430
 
4.6%
d 417
 
4.4%
3 331
 
3.5%
9 244
 
2.6%
Other values (60) 2733
29.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 5290
56.2%
Lowercase Letter 2759
29.3%
Other Punctuation 545
 
5.8%
Uppercase Letter 280
 
3.0%
Space Separator 153
 
1.6%
Close Punctuation 121
 
1.3%
Open Punctuation 121
 
1.3%
Dash Punctuation 113
 
1.2%
Connector Punctuation 20
 
0.2%
Other Letter 10
 
0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
p 545
19.8%
f 430
15.6%
d 417
15.1%
e 175
 
6.3%
s 134
 
4.9%
r 132
 
4.8%
c 108
 
3.9%
o 104
 
3.8%
i 101
 
3.7%
g 91
 
3.3%
Other values (14) 522
18.9%
Uppercase Letter
ValueCountFrequency (%)
S 37
13.2%
C 30
10.7%
K 27
9.6%
J 26
9.3%
N 25
8.9%
O 18
 
6.4%
P 17
 
6.1%
A 15
 
5.4%
T 15
 
5.4%
G 13
 
4.6%
Other values (9) 57
20.4%
Decimal Number
ValueCountFrequency (%)
0 1717
32.5%
1 1265
23.9%
2 744
14.1%
7 458
 
8.7%
3 331
 
6.3%
9 244
 
4.6%
5 179
 
3.4%
4 140
 
2.6%
6 115
 
2.2%
8 97
 
1.8%
Other Letter
ValueCountFrequency (%)
2
20.0%
2
20.0%
2
20.0%
2
20.0%
1
10.0%
1
10.0%
Other Punctuation
ValueCountFrequency (%)
. 531
97.4%
, 12
 
2.2%
% 2
 
0.4%
Close Punctuation
ValueCountFrequency (%)
] 109
90.1%
) 12
 
9.9%
Open Punctuation
ValueCountFrequency (%)
[ 109
90.1%
( 12
 
9.9%
Space Separator
ValueCountFrequency (%)
153
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 113
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 20
100.0%
Math Symbol
ValueCountFrequency (%)
+ 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 6366
67.6%
Latin 3039
32.3%
Hangul 10
 
0.1%

Most frequent character per script

Latin
ValueCountFrequency (%)
p 545
17.9%
f 430
14.1%
d 417
13.7%
e 175
 
5.8%
s 134
 
4.4%
r 132
 
4.3%
c 108
 
3.6%
o 104
 
3.4%
i 101
 
3.3%
g 91
 
3.0%
Other values (33) 802
26.4%
Common
ValueCountFrequency (%)
0 1717
27.0%
1 1265
19.9%
2 744
11.7%
. 531
 
8.3%
7 458
 
7.2%
3 331
 
5.2%
9 244
 
3.8%
5 179
 
2.8%
153
 
2.4%
4 140
 
2.2%
Other values (11) 604
 
9.5%
Hangul
ValueCountFrequency (%)
2
20.0%
2
20.0%
2
20.0%
2
20.0%
1
10.0%
1
10.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 9405
99.9%
Hangul 10
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 1717
18.3%
1 1265
13.5%
2 744
 
7.9%
p 545
 
5.8%
. 531
 
5.6%
7 458
 
4.9%
f 430
 
4.6%
d 417
 
4.4%
3 331
 
3.5%
9 244
 
2.6%
Other values (54) 2723
29.0%
Hangul
ValueCountFrequency (%)
2
20.0%
2
20.0%
2
20.0%
2
20.0%
1
10.0%
1
10.0%

출발물질
Text

MISSING 

Distinct2849
Distinct (%)35.1%
Missing1889
Missing (%)18.9%
Memory size156.2 KiB
2023-12-13T05:56:17.775462image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length246
Median length146
Mean length42.473924
Min length1

Characters and Unicode

Total characters344506
Distinct characters312
Distinct categories16 ?
Distinct scripts4 ?
Distinct blocks9 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1743 ?
Unique (%)21.5%

Sample

1st rowPbO 1 mol%/ ZrO2 .54 mol%/ TiO2 .46 mol%/
2nd row(Na0.54K0.46)0.96LI0.04Nb0.7Ta0.1Sb0.2)O3
3rd rowAl2O3 84 mol%/ TiO2 16 mol%/
4th rowBi(NO3)3, Nd(NO3)3, Co(NO3)2, Fe(NO3)3
5th rowPbO, SrCO3, BaCO3, Bi2O3 50 mol%/ NiO, WO3, ZrO2, TiO2 50 mol%/
ValueCountFrequency (%)
tio2 1770
 
3.9%
mol 1619
 
3.6%
1281
 
2.8%
nb2o5 1204
 
2.6%
zro2 1009
 
2.2%
zno 992
 
2.2%
wt 927
 
2.0%
pbo 837
 
1.8%
baco3 792
 
1.7%
na2co3 779
 
1.7%
Other values (3819) 34313
75.4%
2023-12-13T05:56:18.317391image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
59338
17.2%
O 30646
 
8.9%
, 22856
 
6.6%
2 20108
 
5.8%
3 17573
 
5.1%
C 12096
 
3.5%
i 11749
 
3.4%
a 9961
 
2.9%
N 6880
 
2.0%
e 6592
 
1.9%
Other values (302) 146707
42.6%

Most occurring categories

ValueCountFrequency (%)
Uppercase Letter 85228
24.7%
Lowercase Letter 81352
23.6%
Decimal Number 62848
18.2%
Space Separator 59338
17.2%
Other Punctuation 37385
10.9%
Open Punctuation 5973
 
1.7%
Close Punctuation 5954
 
1.7%
Other Letter 2127
 
0.6%
Math Symbol 1560
 
0.5%
Dash Punctuation 1548
 
0.4%
Other values (6) 1193
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
110
 
5.2%
109
 
5.1%
65
 
3.1%
64
 
3.0%
64
 
3.0%
54
 
2.5%
54
 
2.5%
50
 
2.4%
49
 
2.3%
46
 
2.2%
Other values (199) 1462
68.7%
Lowercase Letter
ValueCountFrequency (%)
i 11749
14.4%
a 9961
12.2%
e 6592
8.1%
r 6360
 
7.8%
n 6172
 
7.6%
l 5743
 
7.1%
o 5368
 
6.6%
t 5187
 
6.4%
b 4248
 
5.2%
m 3731
 
4.6%
Other values (21) 16241
20.0%
Uppercase Letter
ValueCountFrequency (%)
O 30646
36.0%
C 12096
 
14.2%
N 6880
 
8.1%
S 4852
 
5.7%
T 4455
 
5.2%
B 3810
 
4.5%
H 3699
 
4.3%
Z 3590
 
4.2%
M 2743
 
3.2%
F 2154
 
2.5%
Other values (16) 10303
 
12.1%
Other Punctuation
ValueCountFrequency (%)
, 22856
61.1%
. 4849
 
13.0%
% 4509
 
12.1%
/ 3534
 
9.5%
· 831
 
2.2%
: 496
 
1.3%
* 257
 
0.7%
; 33
 
0.1%
& 11
 
< 0.1%
" 5
 
< 0.1%
Decimal Number
ValueCountFrequency (%)
2 20108
32.0%
3 17573
28.0%
5 5385
 
8.6%
0 4440
 
7.1%
1 3881
 
6.2%
9 3716
 
5.9%
4 3065
 
4.9%
6 2269
 
3.6%
8 1380
 
2.2%
7 1031
 
1.6%
Math Symbol
ValueCountFrequency (%)
+ 761
48.8%
= 496
31.8%
~ 142
 
9.1%
> 109
 
7.0%
< 25
 
1.6%
21
 
1.3%
6
 
0.4%
Open Punctuation
ValueCountFrequency (%)
( 5932
99.3%
[ 29
 
0.5%
{ 12
 
0.2%
Close Punctuation
ValueCountFrequency (%)
) 5913
99.3%
] 29
 
0.5%
} 12
 
0.2%
Other Number
ValueCountFrequency (%)
885
80.9%
179
 
16.4%
30
 
2.7%
Other Symbol
ValueCountFrequency (%)
72
87.8%
10
 
12.2%
Modifier Symbol
ValueCountFrequency (%)
^ 3
75.0%
` 1
 
25.0%
Space Separator
ValueCountFrequency (%)
59338
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1548
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 8
100.0%
Final Punctuation
ValueCountFrequency (%)
3
100.0%
Letter Number
ValueCountFrequency (%)
2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 175797
51.0%
Latin 166204
48.2%
Hangul 2127
 
0.6%
Greek 378
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
110
 
5.2%
109
 
5.1%
65
 
3.1%
64
 
3.0%
64
 
3.0%
54
 
2.5%
54
 
2.5%
50
 
2.4%
49
 
2.3%
46
 
2.2%
Other values (199) 1462
68.7%
Latin
ValueCountFrequency (%)
O 30646
18.4%
C 12096
 
7.3%
i 11749
 
7.1%
a 9961
 
6.0%
N 6880
 
4.1%
e 6592
 
4.0%
r 6360
 
3.8%
n 6172
 
3.7%
l 5743
 
3.5%
o 5368
 
3.2%
Other values (43) 64637
38.9%
Common
ValueCountFrequency (%)
59338
33.8%
, 22856
 
13.0%
2 20108
 
11.4%
3 17573
 
10.0%
( 5932
 
3.4%
) 5913
 
3.4%
5 5385
 
3.1%
. 4849
 
2.8%
% 4509
 
2.6%
0 4440
 
2.5%
Other values (35) 24894
14.2%
Greek
ValueCountFrequency (%)
α 142
37.6%
μ 117
31.0%
β 102
27.0%
δ 11
 
2.9%
γ 6
 
1.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 339962
98.7%
None 2303
 
0.7%
Hangul 2115
 
0.6%
CJK Compat 72
 
< 0.1%
Math Operators 27
 
< 0.1%
Compat Jamo 12
 
< 0.1%
Letterlike Symbols 10
 
< 0.1%
Punctuation 3
 
< 0.1%
Number Forms 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
59338
17.5%
O 30646
 
9.0%
, 22856
 
6.7%
2 20108
 
5.9%
3 17573
 
5.2%
C 12096
 
3.6%
i 11749
 
3.5%
a 9961
 
2.9%
N 6880
 
2.0%
e 6592
 
1.9%
Other values (78) 142163
41.8%
None
ValueCountFrequency (%)
885
38.4%
· 831
36.1%
179
 
7.8%
α 142
 
6.2%
μ 117
 
5.1%
β 102
 
4.4%
30
 
1.3%
δ 11
 
0.5%
γ 6
 
0.3%
Hangul
ValueCountFrequency (%)
110
 
5.2%
109
 
5.2%
65
 
3.1%
64
 
3.0%
64
 
3.0%
54
 
2.6%
54
 
2.6%
50
 
2.4%
49
 
2.3%
46
 
2.2%
Other values (198) 1450
68.6%
CJK Compat
ValueCountFrequency (%)
72
100.0%
Math Operators
ValueCountFrequency (%)
21
77.8%
6
 
22.2%
Compat Jamo
ValueCountFrequency (%)
12
100.0%
Letterlike Symbols
ValueCountFrequency (%)
10
100.0%
Punctuation
ValueCountFrequency (%)
3
100.0%
Number Forms
ValueCountFrequency (%)
2
100.0%

첨가물
Text

MISSING 

Distinct2230
Distinct (%)60.5%
Missing6316
Missing (%)63.2%
Memory size156.2 KiB
2023-12-13T05:56:18.633020image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length100
Median length81
Mean length26.378393
Min length1

Characters and Unicode

Total characters97178
Distinct characters100
Distinct categories12 ?
Distinct scripts4 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1724 ?
Unique (%)46.8%

Sample

1st rowNb2O5 1wt% Cr2O3 2wt%
2nd rowMgO/CaO/Al2O3/SiO2 glass 2wt%
3rd rowCdO 1.2wt% PbO 0.2wt% LiF 0.16wt%
4th row5.0 mol% CuO
5th row0.005mol% TaO5
ValueCountFrequency (%)
674
 
4.8%
wt 459
 
3.3%
mn 344
 
2.5%
y2o3 231
 
1.6%
cuo 202
 
1.4%
2wt 198
 
1.4%
sio2 196
 
1.4%
al2o3 182
 
1.3%
1wt 172
 
1.2%
1mol 147
 
1.0%
Other values (1736) 11199
80.0%
2023-12-13T05:56:19.113261image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
12945
 
13.3%
0 6428
 
6.6%
% 5462
 
5.6%
. 5081
 
5.2%
t 4962
 
5.1%
2 4573
 
4.7%
O 4572
 
4.7%
w 4043
 
4.2%
3 3243
 
3.3%
1 2853
 
2.9%
Other values (90) 43016
44.3%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 30158
31.0%
Decimal Number 22382
23.0%
Uppercase Letter 14953
15.4%
Space Separator 12945
13.3%
Other Punctuation 12933
13.3%
Math Symbol 1533
 
1.6%
Open Punctuation 941
 
1.0%
Close Punctuation 940
 
1.0%
Dash Punctuation 231
 
0.2%
Other Letter 130
 
0.1%
Other values (2) 32
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
t 4962
16.5%
w 4043
13.4%
l 2777
9.2%
i 2665
8.8%
o 2477
8.2%
a 1882
 
6.2%
m 1822
 
6.0%
n 1644
 
5.5%
e 1505
 
5.0%
r 1054
 
3.5%
Other values (19) 5327
17.7%
Uppercase Letter
ValueCountFrequency (%)
O 4572
30.6%
C 2220
14.8%
M 995
 
6.7%
S 934
 
6.2%
B 896
 
6.0%
N 843
 
5.6%
H 741
 
5.0%
A 586
 
3.9%
L 472
 
3.2%
Y 450
 
3.0%
Other values (15) 2244
15.0%
Other Letter
ValueCountFrequency (%)
26
20.0%
26
20.0%
10
 
7.7%
7
 
5.4%
7
 
5.4%
7
 
5.4%
7
 
5.4%
7
 
5.4%
7
 
5.4%
7
 
5.4%
Other values (4) 19
14.6%
Decimal Number
ValueCountFrequency (%)
0 6428
28.7%
2 4573
20.4%
3 3243
14.5%
1 2853
12.7%
5 2234
 
10.0%
4 932
 
4.2%
6 733
 
3.3%
8 579
 
2.6%
9 423
 
1.9%
7 384
 
1.7%
Other Punctuation
ValueCountFrequency (%)
% 5462
42.2%
. 5081
39.3%
, 1860
 
14.4%
/ 253
 
2.0%
: 167
 
1.3%
· 65
 
0.5%
* 30
 
0.2%
; 12
 
0.1%
& 3
 
< 0.1%
Math Symbol
ValueCountFrequency (%)
+ 1152
75.1%
= 346
 
22.6%
~ 35
 
2.3%
Open Punctuation
ValueCountFrequency (%)
( 847
90.0%
[ 63
 
6.7%
{ 31
 
3.3%
Close Punctuation
ValueCountFrequency (%)
) 846
90.0%
] 63
 
6.7%
} 31
 
3.3%
Space Separator
ValueCountFrequency (%)
12945
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 231
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 31
100.0%
Other Symbol
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 51937
53.4%
Latin 45105
46.4%
Hangul 130
 
0.1%
Greek 6
 
< 0.1%

Most frequent character per script

Latin
ValueCountFrequency (%)
t 4962
 
11.0%
O 4572
 
10.1%
w 4043
 
9.0%
l 2777
 
6.2%
i 2665
 
5.9%
o 2477
 
5.5%
C 2220
 
4.9%
a 1882
 
4.2%
m 1822
 
4.0%
n 1644
 
3.6%
Other values (41) 16041
35.6%
Common
ValueCountFrequency (%)
12945
24.9%
0 6428
12.4%
% 5462
10.5%
. 5081
 
9.8%
2 4573
 
8.8%
3 3243
 
6.2%
1 2853
 
5.5%
5 2234
 
4.3%
, 1860
 
3.6%
+ 1152
 
2.2%
Other values (22) 6106
11.8%
Hangul
ValueCountFrequency (%)
26
20.0%
26
20.0%
10
 
7.7%
7
 
5.4%
7
 
5.4%
7
 
5.4%
7
 
5.4%
7
 
5.4%
7
 
5.4%
7
 
5.4%
Other values (4) 19
14.6%
Greek
ValueCountFrequency (%)
μ 4
66.7%
α 1
 
16.7%
β 1
 
16.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 96976
99.8%
Hangul 130
 
0.1%
None 71
 
0.1%
CJK Compat 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
12945
 
13.3%
0 6428
 
6.6%
% 5462
 
5.6%
. 5081
 
5.2%
t 4962
 
5.1%
2 4573
 
4.7%
O 4572
 
4.7%
w 4043
 
4.2%
3 3243
 
3.3%
1 2853
 
2.9%
Other values (71) 42814
44.1%
None
ValueCountFrequency (%)
· 65
91.5%
μ 4
 
5.6%
α 1
 
1.4%
β 1
 
1.4%
Hangul
ValueCountFrequency (%)
26
20.0%
26
20.0%
10
 
7.7%
7
 
5.4%
7
 
5.4%
7
 
5.4%
7
 
5.4%
7
 
5.4%
7
 
5.4%
7
 
5.4%
Other values (4) 19
14.6%
CJK Compat
ValueCountFrequency (%)
1
100.0%

키워드
Text

MISSING 

Distinct89
Distinct (%)88.1%
Missing9899
Missing (%)99.0%
Memory size156.2 KiB
2023-12-13T05:56:19.369113image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length8
Mean length7.8910891
Min length7

Characters and Unicode

Total characters797
Distinct characters36
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique77 ?
Unique (%)76.2%

Sample

1st rowTi+and+I
2nd rowNb+and+C
3rd rowZr+and+S
4th rowPr+and+S
5th rowBe+and+F
ValueCountFrequency (%)
pr+and+o 2
 
2.0%
nb+and+n 2
 
2.0%
in+and+s 2
 
2.0%
ce+and+o 2
 
2.0%
na+and+o 2
 
2.0%
v+and+n 2
 
2.0%
v+and+o 2
 
2.0%
mo+and+s 2
 
2.0%
v+and+i 2
 
2.0%
mn+and+c 2
 
2.0%
Other values (79) 81
80.2%
2023-12-13T05:56:19.729035image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
+ 202
25.3%
a 111
13.9%
n 111
13.9%
d 105
13.2%
S 31
 
3.9%
O 30
 
3.8%
C 28
 
3.5%
N 17
 
2.1%
I 13
 
1.6%
B 13
 
1.6%
Other values (26) 136
17.1%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 393
49.3%
Math Symbol 202
25.3%
Uppercase Letter 202
25.3%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
S 31
15.3%
O 30
14.9%
C 28
13.9%
N 17
8.4%
I 13
6.4%
B 13
6.4%
F 12
 
5.9%
M 11
 
5.4%
T 9
 
4.5%
V 8
 
4.0%
Other values (9) 30
14.9%
Lowercase Letter
ValueCountFrequency (%)
a 111
28.2%
n 111
28.2%
d 105
26.7%
r 12
 
3.1%
e 11
 
2.8%
o 8
 
2.0%
i 8
 
2.0%
u 7
 
1.8%
g 7
 
1.8%
b 4
 
1.0%
Other values (6) 9
 
2.3%
Math Symbol
ValueCountFrequency (%)
+ 202
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 595
74.7%
Common 202
 
25.3%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 111
18.7%
n 111
18.7%
d 105
17.6%
S 31
 
5.2%
O 30
 
5.0%
C 28
 
4.7%
N 17
 
2.9%
I 13
 
2.2%
B 13
 
2.2%
F 12
 
2.0%
Other values (25) 124
20.8%
Common
ValueCountFrequency (%)
+ 202
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 797
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
+ 202
25.3%
a 111
13.9%
n 111
13.9%
d 105
13.2%
S 31
 
3.9%
O 30
 
3.8%
C 28
 
3.5%
N 17
 
2.1%
I 13
 
1.6%
B 13
 
1.6%
Other values (26) 136
17.1%

임시
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
6766 
10000000000000
3069 
20000000000000
 
152
40000000000000
 
12
30000000000000
 
1

Length

Max length14
Median length4
Mean length7.234
Min length4

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

1st row10000000000000
2nd row10000000000000
3rd row<NA>
4th row10000000000000
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 6766
67.7%
10000000000000 3069
30.7%
20000000000000 152
 
1.5%
40000000000000 12
 
0.1%
30000000000000 1
 
< 0.1%

Length

2023-12-13T05:56:19.864227image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T05:56:19.996604image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 6766
67.7%
10000000000000 3069
30.7%
20000000000000 152
 
1.5%
40000000000000 12
 
0.1%
30000000000000 1
 
< 0.1%


Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

소재구성
Text

MISSING 

Distinct885
Distinct (%)73.1%
Missing8789
Missing (%)87.9%
Memory size156.2 KiB
2023-12-13T05:56:20.283298image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length143
Median length97
Mean length50.580512
Min length5

Characters and Unicode

Total characters61253
Distinct characters67
Distinct categories9 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique706 ?
Unique (%)58.3%

Sample

1st row(MgO 85 C 10 )
2nd rowPb (Zr 0.54 Ti 0.46 )O 3 + Nb2O5 1wt% Cr2O3 2wt%
3rd row.84Al 2 O 3 +.16O 2 + MgO/CaO/Al2O3/SiO2 glass 2wt%
4th row(Pb 0.921 Sr 0.059 Bi 0.02 )(Zr 0.506 Ti 0.477 Ni 0.01 W 0.007 )O 3 + CdO 1.2wt% PbO 0.2wt% LiF 0.16wt%
5th row.35(Al 0.5 Ta 0.5 )O 2 +.65Mg 0.333 Ta 0.667 O 2
ValueCountFrequency (%)
o 1318
 
9.2%
3 956
 
6.7%
701
 
4.9%
ti 693
 
4.8%
0.5 368
 
2.6%
nb 366
 
2.6%
2 298
 
2.1%
zr 292
 
2.0%
pb 247
 
1.7%
mg 195
 
1.4%
Other values (1024) 8879
62.0%
2023-12-13T05:56:20.709358image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
17704
28.9%
0 5081
 
8.3%
. 4382
 
7.2%
O 3024
 
4.9%
2 2533
 
4.1%
3 2422
 
4.0%
5 1887
 
3.1%
i 1623
 
2.6%
1 1445
 
2.4%
( 1293
 
2.1%
Other values (57) 19859
32.4%

Most occurring categories

ValueCountFrequency (%)
Space Separator 17704
28.9%
Decimal Number 16839
27.5%
Uppercase Letter 9474
15.5%
Lowercase Letter 8338
13.6%
Other Punctuation 5444
 
8.9%
Open Punctuation 1297
 
2.1%
Close Punctuation 1291
 
2.1%
Math Symbol 795
 
1.3%
Dash Punctuation 71
 
0.1%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
O 3024
31.9%
T 967
 
10.2%
N 848
 
9.0%
C 687
 
7.3%
B 607
 
6.4%
Z 578
 
6.1%
P 514
 
5.4%
S 478
 
5.0%
M 430
 
4.5%
L 341
 
3.6%
Other values (13) 1000
 
10.6%
Lowercase Letter
ValueCountFrequency (%)
i 1623
19.5%
a 1012
12.1%
b 919
11.0%
t 720
8.6%
w 679
8.1%
r 585
 
7.0%
l 553
 
6.6%
n 427
 
5.1%
o 384
 
4.6%
m 339
 
4.1%
Other values (12) 1097
13.2%
Decimal Number
ValueCountFrequency (%)
0 5081
30.2%
2 2533
15.0%
3 2422
14.4%
5 1887
 
11.2%
1 1445
 
8.6%
4 922
 
5.5%
6 704
 
4.2%
9 686
 
4.1%
8 581
 
3.5%
7 578
 
3.4%
Other Punctuation
ValueCountFrequency (%)
. 4382
80.5%
% 977
 
17.9%
/ 83
 
1.5%
, 1
 
< 0.1%
· 1
 
< 0.1%
Open Punctuation
ValueCountFrequency (%)
( 1293
99.7%
[ 4
 
0.3%
Close Punctuation
ValueCountFrequency (%)
) 1287
99.7%
] 4
 
0.3%
Space Separator
ValueCountFrequency (%)
17704
100.0%
Math Symbol
ValueCountFrequency (%)
+ 795
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 71
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 43441
70.9%
Latin 17812
29.1%

Most frequent character per script

Latin
ValueCountFrequency (%)
O 3024
17.0%
i 1623
 
9.1%
a 1012
 
5.7%
T 967
 
5.4%
b 919
 
5.2%
N 848
 
4.8%
t 720
 
4.0%
C 687
 
3.9%
w 679
 
3.8%
B 607
 
3.4%
Other values (35) 6726
37.8%
Common
ValueCountFrequency (%)
17704
40.8%
0 5081
 
11.7%
. 4382
 
10.1%
2 2533
 
5.8%
3 2422
 
5.6%
5 1887
 
4.3%
1 1445
 
3.3%
( 1293
 
3.0%
) 1287
 
3.0%
% 977
 
2.2%
Other values (12) 4430
 
10.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 61252
> 99.9%
None 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
17704
28.9%
0 5081
 
8.3%
. 4382
 
7.2%
O 3024
 
4.9%
2 2533
 
4.1%
3 2422
 
4.0%
5 1887
 
3.1%
i 1623
 
2.6%
1 1445
 
2.4%
( 1293
 
2.1%
Other values (56) 19858
32.4%
None
ValueCountFrequency (%)
· 1
100.0%

Sample

소재번호정보신뢰도보안레벨소재명소재일련번호화학식생성자책임자비고생성일시수정자수정일시입력자코멘트책임자코멘트에디터에디터코멘트신뢰도상태공정노트소재그룹번호노트유리품목소재소스노트승인일자소재레벨구분파일출발물질첨가물키워드임시소재구성
17909M109438C<NA>Brick No.4<NA>(MgO 85 C 10 )change150@hanmail.netbsjun@kyungnam.ac.kr<NA>2011-07-18<NA><NA><NA><NA>kjk<NA>800<NA><NA><NA>S2003001<NA>2011-07-22B1<NA><NA><NA><NA>10000000000000<NA>(MgO 85 C 10 )
17269M102370C<NA>Lead zirconate titanate >PZT<NA>Pb (Zr 0.54 Ti 0.46 )O 3 + Nb2O5 1wt% Cr2O3 2wt%kimchangil@hanmail.netjhpaik@kicet.re.kr<NA>2010-10-22<NA><NA><NA><NA>kjk<NA>800<NA>KPE-A54<NA><NA><NA>2010-10-22A1<NA>PbO 1 mol%/ ZrO2 .54 mol%/ TiO2 .46 mol%/Nb2O5 1wt% Cr2O3 2wt%<NA>10000000000000<NA>Pb (Zr 0.54 Ti 0.46 )O 3 + Nb2O5 1wt% Cr2O3 2wt%
35827M137546E<NA>Na, K, Li<NA><NA><NA>khkim@kicet.re.kr<NA>2018-12-11<NA><NA><NA><NA><NA><NA>100<NA><NA><NA><NA><NA><NA>B1<NA>(Na0.54K0.46)0.96LI0.04Nb0.7Ta0.1Sb0.2)O3<NA><NA><NA><NA><NA>
17406M106087C<NA>Aluminium titanate<NA>.84Al 2 O 3 +.16O 2 + MgO/CaO/Al2O3/SiO2 glass 2wt%k2dass@kyonggi.ac.kreskim@kyonggi.ac.krAluminium titanate, MgOCaOSiO2Al2O3 glass2011-02-24<NA>2011-05-25<NA><NA>kjk<NA>800<NA>SGN-36<NA><NA><NA>2011-02-24B1<NA>Al2O3 84 mol%/ TiO2 16 mol%/MgO/CaO/Al2O3/SiO2 glass 2wt%<NA>10000000000000<NA>.84Al 2 O 3 +.16O 2 + MgO/CaO/Al2O3/SiO2 glass 2wt%
27895M126130E<NA>NdxBi1-xFe0.95Co0.05O3<NA>1(Nd0.1Bi0.9)(Fe0.95Co0.05)O3wptjddl24rka@kgu.ac.kreskim@kyonggi.ac.kr<NA>2015-01-22<NA><NA><NA><NA><NA><NA>300<NA><NA><NA><NA><NA><NA>B1<NA>Bi(NO3)3, Nd(NO3)3, Co(NO3)2, Fe(NO3)3<NA><NA><NA><NA><NA>
6991M106022C<NA>Lead zirconate titanate<NA>(Pb 0.921 Sr 0.059 Bi 0.02 )(Zr 0.506 Ti 0.477 Ni 0.01 W 0.007 )O 3 + CdO 1.2wt% PbO 0.2wt% LiF 0.16wt%midoban00@kyonggi.ac.kreskim@kyonggi.ac.kr<NA>2011-02-23<NA>2011-05-25<NA><NA>kjk<NA>800mixing and milling, drying, calcinatin, milling, drying, adding PVA, pressing, sintering, electroding, polingCYR-10-2002-0069973102실시예17-1<NA><NA>2011-02-23B1<NA>PbO, SrCO3, BaCO3, Bi2O3 50 mol%/ NiO, WO3, ZrO2, TiO2 50 mol%/CdO 1.2wt% PbO 0.2wt% LiF 0.16wt%<NA>10000000000000<NA>(Pb 0.921 Sr 0.059 Bi 0.02 )(Zr 0.506 Ti 0.477 Ni 0.01 W 0.007 )O 3 + CdO 1.2wt% PbO 0.2wt% LiF 0.16wt%
5732M108959E<NA>aluminium tantalate<NA>.35(Al 0.5 Ta 0.5 )O 2 +.65Mg 0.333 Ta 0.667 O 2dhim@kyonggi.ac.kreskim@kyonggi.ac.kraluminium, magnesium2011-06-24<NA><NA><NA><NA>kjk<NA>200<NA>8080<NA><NA><NA>B1<NA>Al2O3 .0875 mol/ MgO .2167 mol/ Ta2O5 .3042 mol/<NA><NA>10000000000000<NA>.35(Al 0.5 Ta 0.5 )O 2 +.65Mg 0.333 Ta 0.667 O 2
30270M128693E<NA>SiO2, CaO, Fe2O3<NA><NA><NA>bsjun@kyungnam.ac.krInvestigated SiO2 brick D = SiO2, CaO, Fe2O32015-05-13<NA><NA><NA><NA><NA><NA>300Brick2015-16<NA>S2001001<NA><NA>B1<NA>SiO2 96.2wt%, CaO 2.2wt%, Fe2O3 1.3wt%<NA><NA><NA><NA><NA>
6422M106645C<NA><NA><NA>Y 2 (Ba Cu 0.9 Mg 0.1 )O 5crazykdk@kyonggi.ac.kreskim@kyonggi.ac.krcopper, magnesium2011-03-10<NA>2011-05-25<NA><NA>kjk<NA>800<NA>114Veritas<NA><NA>2011-03-10B1<NA>Y2O3 1 mol/ BaCO3 1 mol/ CuO .9 mol/ MgO .1 mol/<NA><NA>10000000000000<NA>Y 2 (Ba Cu 0.9 Mg 0.1 )O 5
13277M113461C<NA>NKN-ST, lead-free piezoelectric ceramic<NA>1(Na0.475K0.475Sr0.05)(Nb0.95Ti0.05)O3+5.0 mol% CuOk2dass@kyonggi.ac.kreskim@kyonggi.ac.kr<NA>2012-04-30<NA><NA><NA><NA>kjk<NA>800Mixing - Drying - Calcining - Mixing(CuO) - Drying - Forming(diameter 18mm, thickness 1.5mm) - Sintering - Electrode - PolarizationGG-14<NA><NA>2012-07-23A1<NA>K2CO3, Na2CO3, Nb2O5, SrCO3, TiO2, CuO5.0 mol% CuO<NA><NA><NA><NA>
소재번호정보신뢰도보안레벨소재명소재일련번호화학식생성자책임자비고생성일시수정자수정일시입력자코멘트책임자코멘트에디터에디터코멘트신뢰도상태공정노트소재그룹번호노트유리품목소재소스노트승인일자소재레벨구분파일출발물질첨가물키워드임시소재구성
32236M133740E<NA>Al2O3<NA>1Al2O3+0.92wt% Y2O3 + 33vol% PVBpsy@kicet.re.krkhkim@kicet.re.krAl2O3 + 0.92wt% Y2O3 slurry의 최종 점도 변화2017-05-26<NA><NA><NA><NA><NA><NA>200<NA><NA><NA><NA><NA><NA>A1<NA>Al2O30.92wt% Y2O3 + 33vol% PVB<NA><NA><NA><NA>
2266M002609D10<NA><NA>Na2O:9.5 / K2O:10 / ZnO:10 / CuO:1.8 / As2O3:0.2 / SiO2:70.3jhhwang@kicet.re.krjhhwang@kicet.re.kr<NA>2008-07-09황종희2010-01-01<NA><NA>kjk<NA>800<NA><NA><NA><NA><NA>2008-07-09B1<NA><NA><NA><NA>10000000000000<NA><NA>
32196M132767E<NA>Gd doped Ceria<NA>0.2GdN3O9+0.8CeN3O9<NA>khkim@kicet.re.kr<NA>2017-05-23<NA><NA><NA><NA><NA><NA>200coprecipiation<NA><NA><NA><NA><NA>B1<NA>Ce(NO3)3 6H2O(>99.5%), Gd(NO3)3 6H2O(>99.5)<NA><NA><NA><NA><NA>
8642B100906A<NA>Nd2O3<NA><NA>CBMASTER<NA>FACT oxide compounds (2010)<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>2<NA><NA>Solid-ANd+and+O<NA><NA><NA>
36302M138101E<NA>Al2O3<NA>1Al2O3psy@kicet.re.krkhkim@kicet.re.kr<NA>2019-01-07<NA><NA><NA><NA><NA><NA>200<NA><NA><NA><NA><NA><NA>A1<NA>Al2O3<NA><NA><NA><NA><NA>
36052M137791E<NA>Ti, Nb, Mn, Nb<NA>0.92Pb(Zr0.5Ti0.5)O3+0.016Pb(Cu0.33Nb0.67)O3+0.064Pb(Mn0.33Nb0.67)O3<NA>khkim@kicet.re.kr<NA>2019-01-02<NA><NA><NA><NA><NA><NA>100<NA><NA><NA><NA><NA><NA>B1<NA>PbO, ZrO2, TiO2, MnCO3, CuO, Nb2O5<NA><NA><NA><NA><NA>
3349M105849C<NA>Zinc magnesium niobate<NA>(Zn 0.6 Mg 0.4 )Nb 2 O 6dhim@kyonggi.ac.kreskim@kyonggi.ac.krZinc, Magnesium2011-02-23<NA>2011-05-25<NA><NA>kjk<NA>800<NA>23155<NA><NA>2011-02-23B1<NA>ZnO .6 mol/ MgO .4 mol/ Nb2O5 1 mol/<NA><NA>10000000000000<NA>(Zn 0.6 Mg 0.4 )Nb 2 O 6
29631M131491E<NA>SiC Alpha Powder<NA>1SiCpsy@kicet.re.krkhkim@kicet.re.krSiC 알파파우더를 사용한 온도별 2인치 단결정 성장2016-06-07<NA><NA><NA><NA><NA><NA>100Growth Temp : 2100~2350℃, Growth Pressure : ≤5kPa<NA><NA><NA><NA><NA>A1M131491.pngSiC<NA><NA><NA><NA><NA>
25458M122190E<NA>La0.6Ca0.4Fe0.8Ni0.2O3<NA>1(La0.6Ca0.4)(Fe0.8Ni0.2)O3<NA>hjhwang@inha.ac.krLCFN2014-04-23<NA><NA><NA><NA><NA><NA>800<NA><NA>cathode<NA><NA>2014-06-23B1<NA>La(NO3)36H2O, Ca(NO3)2H2O, Fe(NO3)39H2O, Ni(NO3)26H2O<NA><NA><NA><NA><NA>
30972M130796E<NA>BCTZ<NA>1(Ba0.86516Ca0.14084)(Ti0.955Zr0.045)O3+Mn 0.18wt%<NA>wslee@keti.re.krlead free piezoelectric2016-05-09<NA><NA><NA><NA><NA><NA>200weighing, dry ball-mill, additive spay dry (+ 3wt% PVA), press, CIP, sintering(1300-1480℃), polishing(t=0.5mm), DC sputtering(t=400㎚ Au electrode), cutting(10mm X 2.5mm X 0.5mm), poling(60-100℃)1020147028171.pdfCYR-12-13<NA><NA><NA>B1<NA>BaTiO3, CaTiO3, CaZrO3, BaC2O4Mn 0.18wt%<NA><NA><NA><NA>