Overview

Dataset statistics

Number of variables6
Number of observations10000
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory556.6 KiB
Average record size in memory57.0 B

Variable types

Text5
Numeric1

Dataset

Description한국나노기술원에서 제공하는 팹서비스 신청 상세 내역입니다.(장비명, 공정명 등) * 팹서비스 신청서 정보 : 한국나노기술원_팹서비스 신청 내역(https://www.data.go.kr/data/15086804/fileData.do)에서 확인 가능합니다.
URLhttps://www.data.go.kr/data/15086806/fileData.do

Reproduction

Analysis started2023-12-12 07:43:08.394516
Analysis finished2023-12-12 07:43:09.197827
Duration0.8 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

서비스번호
Text

Distinct8304
Distinct (%)83.0%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-12T16:43:09.358027image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length11
Mean length11
Min length11

Characters and Unicode

Total characters110000
Distinct characters23
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

Unique7406 ?
Unique (%)74.1%

Sample

1st rowL3AE2005002
2nd rowC3AE1710260
3rd rowR1B41703025
4th rowC3AE2103311
5th rowL2AE1806033
ValueCountFrequency (%)
l1be1812016 12
 
0.1%
r7ae2103005 12
 
0.1%
r3ae2107010 12
 
0.1%
r7ae1806008 12
 
0.1%
r7ae2008019 11
 
0.1%
r1ae1707021 11
 
0.1%
r7ae2007027 10
 
0.1%
r1ae1804003 10
 
0.1%
r1ae1811023 9
 
0.1%
r1ae1807023 9
 
0.1%
Other values (8294) 9892
98.9%
2023-12-12T16:43:09.688043image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 22834
20.8%
1 20482
18.6%
2 9665
8.8%
E 8650
 
7.9%
A 6634
 
6.0%
3 5366
 
4.9%
7 4718
 
4.3%
4 4240
 
3.9%
8 4000
 
3.6%
9 3754
 
3.4%
Other values (13) 19657
17.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 81488
74.1%
Uppercase Letter 28512
 
25.9%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
E 8650
30.3%
A 6634
23.3%
R 3614
12.7%
B 3046
 
10.7%
C 2739
 
9.6%
L 2021
 
7.1%
F 1286
 
4.5%
D 274
 
1.0%
M 116
 
0.4%
S 56
 
0.2%
Other values (3) 76
 
0.3%
Decimal Number
ValueCountFrequency (%)
0 22834
28.0%
1 20482
25.1%
2 9665
11.9%
3 5366
 
6.6%
7 4718
 
5.8%
4 4240
 
5.2%
8 4000
 
4.9%
9 3754
 
4.6%
6 3587
 
4.4%
5 2842
 
3.5%

Most occurring scripts

ValueCountFrequency (%)
Common 81488
74.1%
Latin 28512
 
25.9%

Most frequent character per script

Latin
ValueCountFrequency (%)
E 8650
30.3%
A 6634
23.3%
R 3614
12.7%
B 3046
 
10.7%
C 2739
 
9.6%
L 2021
 
7.1%
F 1286
 
4.5%
D 274
 
1.0%
M 116
 
0.4%
S 56
 
0.2%
Other values (3) 76
 
0.3%
Common
ValueCountFrequency (%)
0 22834
28.0%
1 20482
25.1%
2 9665
11.9%
3 5366
 
6.6%
7 4718
 
5.8%
4 4240
 
5.2%
8 4000
 
4.9%
9 3754
 
4.6%
6 3587
 
4.4%
5 2842
 
3.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 110000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 22834
20.8%
1 20482
18.6%
2 9665
8.8%
E 8650
 
7.9%
A 6634
 
6.0%
3 5366
 
4.9%
7 4718
 
4.3%
4 4240
 
3.9%
8 4000
 
3.6%
9 3754
 
3.4%
Other values (13) 19657
17.9%

공정순번
Real number (ℝ)

Distinct70
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.2934
Minimum1
Maximum78
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T16:43:09.818583image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q33
95-th percentile20
Maximum78
Range77
Interquartile range (IQR)2

Descriptive statistics

Standard deviation8.0068425
Coefficient of variation (CV)1.8649188
Kurtosis18.951155
Mean4.2934
Median Absolute Deviation (MAD)0
Skewness3.9593822
Sum42934
Variance64.109527
MonotonicityNot monotonic
2023-12-12T16:43:09.954515image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 6084
60.8%
2 943
 
9.4%
3 602
 
6.0%
4 306
 
3.1%
5 233
 
2.3%
6 206
 
2.1%
7 153
 
1.5%
8 142
 
1.4%
9 136
 
1.4%
10 108
 
1.1%
Other values (60) 1087
 
10.9%
ValueCountFrequency (%)
1 6084
60.8%
2 943
 
9.4%
3 602
 
6.0%
4 306
 
3.1%
5 233
 
2.3%
6 206
 
2.1%
7 153
 
1.5%
8 142
 
1.4%
9 136
 
1.4%
10 108
 
1.1%
ValueCountFrequency (%)
78 1
 
< 0.1%
71 2
 
< 0.1%
68 3
< 0.1%
67 2
 
< 0.1%
66 2
 
< 0.1%
65 1
 
< 0.1%
64 2
 
< 0.1%
63 1
 
< 0.1%
62 2
 
< 0.1%
61 5
0.1%

장비코드
Text

Distinct149
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-12T16:43:10.314412image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length7
Mean length7.0053
Min length7

Characters and Unicode

Total characters70053
Distinct characters30
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

Unique14 ?
Unique (%)0.1%

Sample

1st rowFL-WB10
2nd rowFC-TM20
3rd rowFR-WB30
4th rowFC-SM10
5th rowFL-EL10
ValueCountFrequency (%)
fl-tr30 477
 
4.8%
fc-sm10 355
 
3.5%
fc-fi20 324
 
3.2%
fc-tm10 318
 
3.2%
fc-fi10 312
 
3.1%
fl-tr20 297
 
3.0%
fr-eb10 273
 
2.7%
ff-eb20 263
 
2.6%
ff-mw12 262
 
2.6%
ff-eb10 262
 
2.6%
Other values (139) 6857
68.6%
2023-12-12T16:43:10.748956image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
F 12430
17.7%
- 10000
14.3%
0 9658
13.8%
1 4918
 
7.0%
R 3792
 
5.4%
C 3450
 
4.9%
L 3339
 
4.8%
2 2737
 
3.9%
M 2245
 
3.2%
E 2243
 
3.2%
Other values (20) 15241
21.8%

Most occurring categories

ValueCountFrequency (%)
Uppercase Letter 40059
57.2%
Decimal Number 19994
28.5%
Dash Punctuation 10000
 
14.3%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
F 12430
31.0%
R 3792
 
9.5%
C 3450
 
8.6%
L 3339
 
8.3%
M 2245
 
5.6%
E 2243
 
5.6%
S 2179
 
5.4%
T 2054
 
5.1%
B 2035
 
5.1%
I 1680
 
4.2%
Other values (11) 4612
 
11.5%
Decimal Number
ValueCountFrequency (%)
0 9658
48.3%
1 4918
24.6%
2 2737
 
13.7%
3 1740
 
8.7%
4 728
 
3.6%
6 115
 
0.6%
5 93
 
0.5%
7 5
 
< 0.1%
Dash Punctuation
ValueCountFrequency (%)
- 10000
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 40059
57.2%
Common 29994
42.8%

Most frequent character per script

Latin
ValueCountFrequency (%)
F 12430
31.0%
R 3792
 
9.5%
C 3450
 
8.6%
L 3339
 
8.3%
M 2245
 
5.6%
E 2243
 
5.6%
S 2179
 
5.4%
T 2054
 
5.1%
B 2035
 
5.1%
I 1680
 
4.2%
Other values (11) 4612
 
11.5%
Common
ValueCountFrequency (%)
- 10000
33.3%
0 9658
32.2%
1 4918
16.4%
2 2737
 
9.1%
3 1740
 
5.8%
4 728
 
2.4%
6 115
 
0.4%
5 93
 
0.3%
7 5
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 70053
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
F 12430
17.7%
- 10000
14.3%
0 9658
13.8%
1 4918
 
7.0%
R 3792
 
5.4%
C 3450
 
4.9%
L 3339
 
4.8%
2 2737
 
3.9%
M 2245
 
3.2%
E 2243
 
3.2%
Other values (20) 15241
21.8%

장비명
Text

Distinct146
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-12T16:43:11.110608image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length45
Median length29
Mean length17.7405
Min length3

Characters and Unicode

Total characters177405
Distinct characters66
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

Unique13 ?
Unique (%)0.1%

Sample

1st rowDevelop Wet-bench(Litho)
2nd rowHR-TEM II
3rd rowOrganic Wet-Bench(R&D)
4th rowFE SEM I
5th rowE-beam lithography I (9300)
ValueCountFrequency (%)
i 2383
 
8.3%
ii 1673
 
5.8%
inch 1350
 
4.7%
track 1191
 
4.1%
e-beam 1116
 
3.9%
iii 1004
 
3.5%
evaporator 982
 
3.4%
4-6 965
 
3.3%
etcher 693
 
2.4%
icp 657
 
2.3%
Other values (175) 16867
58.4%
2023-12-12T16:43:11.642825image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
18881
 
10.6%
I 12905
 
7.3%
e 10750
 
6.1%
a 10059
 
5.7%
r 8699
 
4.9%
t 8294
 
4.7%
n 7796
 
4.4%
c 7289
 
4.1%
i 6597
 
3.7%
o 6527
 
3.7%
Other values (56) 79608
44.9%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 93796
52.9%
Uppercase Letter 43327
24.4%
Space Separator 18881
 
10.6%
Open Punctuation 5769
 
3.3%
Close Punctuation 5769
 
3.3%
Dash Punctuation 3757
 
2.1%
Decimal Number 3634
 
2.0%
Other Punctuation 2468
 
1.4%
Letter Number 4
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 10750
11.5%
a 10059
10.7%
r 8699
9.3%
t 8294
8.8%
n 7796
 
8.3%
c 7289
 
7.8%
i 6597
 
7.0%
o 6527
 
7.0%
h 4554
 
4.9%
l 2925
 
3.1%
Other values (14) 20306
21.6%
Uppercase Letter
ValueCountFrequency (%)
I 12905
29.8%
D 3535
 
8.2%
M 3468
 
8.0%
E 3281
 
7.6%
S 2497
 
5.8%
R 2470
 
5.7%
C 2237
 
5.2%
A 2184
 
5.0%
T 2010
 
4.6%
F 1679
 
3.9%
Other values (12) 7061
16.3%
Decimal Number
ValueCountFrequency (%)
4 976
26.9%
6 975
26.8%
0 679
18.7%
8 309
 
8.5%
3 268
 
7.4%
2 233
 
6.4%
9 134
 
3.7%
5 40
 
1.1%
7 10
 
0.3%
1 10
 
0.3%
Other Punctuation
ValueCountFrequency (%)
& 2015
81.6%
: 339
 
13.7%
/ 70
 
2.8%
, 29
 
1.2%
. 15
 
0.6%
Space Separator
ValueCountFrequency (%)
18881
100.0%
Open Punctuation
ValueCountFrequency (%)
( 5769
100.0%
Close Punctuation
ValueCountFrequency (%)
) 5769
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3757
100.0%
Letter Number
ValueCountFrequency (%)
Ⅵ 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 137127
77.3%
Common 40278
 
22.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
I 12905
 
9.4%
e 10750
 
7.8%
a 10059
 
7.3%
r 8699
 
6.3%
t 8294
 
6.0%
n 7796
 
5.7%
c 7289
 
5.3%
i 6597
 
4.8%
o 6527
 
4.8%
h 4554
 
3.3%
Other values (37) 53657
39.1%
Common
ValueCountFrequency (%)
18881
46.9%
( 5769
 
14.3%
) 5769
 
14.3%
- 3757
 
9.3%
& 2015
 
5.0%
4 976
 
2.4%
6 975
 
2.4%
0 679
 
1.7%
: 339
 
0.8%
8 309
 
0.8%
Other values (9) 809
 
2.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 177401
> 99.9%
Number Forms 4
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
18881
 
10.6%
I 12905
 
7.3%
e 10750
 
6.1%
a 10059
 
5.7%
r 8699
 
4.9%
t 8294
 
4.7%
n 7796
 
4.4%
c 7289
 
4.1%
i 6597
 
3.7%
o 6527
 
3.7%
Other values (55) 79604
44.9%
Number Forms
ValueCountFrequency (%)
Ⅵ 4
100.0%

공정코드
Text

Distinct177
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-12T16:43:11.984727image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length6
Mean length6
Min length6

Characters and Unicode

Total characters60000
Distinct characters22
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

Unique24 ?
Unique (%)0.2%

Sample

1st rowL3A002
2nd rowC3A021
3rd rowR1B003
4th rowC3A002
5th rowL2A001
ValueCountFrequency (%)
l1a001 766
 
7.7%
c3a002 607
 
6.1%
f2b001 522
 
5.2%
c3a021 498
 
5.0%
r2a001 457
 
4.6%
c3a019 316
 
3.2%
l1b005 282
 
2.8%
b1a002 255
 
2.5%
l1b006 243
 
2.4%
c3a001 224
 
2.2%
Other values (167) 5830
58.3%
2023-12-12T16:43:12.496613image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 18445
30.7%
1 8624
14.4%
A 6052
 
10.1%
2 4686
 
7.8%
B 3649
 
6.1%
3 3485
 
5.8%
C 2803
 
4.7%
L 2758
 
4.6%
R 2457
 
4.1%
4 1870
 
3.1%
Other values (12) 5171
 
8.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 40000
66.7%
Uppercase Letter 20000
33.3%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
A 6052
30.3%
B 3649
18.2%
C 2803
14.0%
L 2758
13.8%
R 2457
12.3%
F 1637
 
8.2%
D 273
 
1.4%
M 147
 
0.7%
E 112
 
0.6%
S 57
 
0.3%
Other values (2) 55
 
0.3%
Decimal Number
ValueCountFrequency (%)
0 18445
46.1%
1 8624
21.6%
2 4686
 
11.7%
3 3485
 
8.7%
4 1870
 
4.7%
5 1012
 
2.5%
6 741
 
1.9%
7 443
 
1.1%
9 442
 
1.1%
8 252
 
0.6%

Most occurring scripts

ValueCountFrequency (%)
Common 40000
66.7%
Latin 20000
33.3%

Most frequent character per script

Latin
ValueCountFrequency (%)
A 6052
30.3%
B 3649
18.2%
C 2803
14.0%
L 2758
13.8%
R 2457
12.3%
F 1637
 
8.2%
D 273
 
1.4%
M 147
 
0.7%
E 112
 
0.6%
S 57
 
0.3%
Other values (2) 55
 
0.3%
Common
ValueCountFrequency (%)
0 18445
46.1%
1 8624
21.6%
2 4686
 
11.7%
3 3485
 
8.7%
4 1870
 
4.7%
5 1012
 
2.5%
6 741
 
1.9%
7 443
 
1.1%
9 442
 
1.1%
8 252
 
0.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 60000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 18445
30.7%
1 8624
14.4%
A 6052
 
10.1%
2 4686
 
7.8%
B 3649
 
6.1%
3 3485
 
5.8%
C 2803
 
4.7%
L 2758
 
4.6%
R 2457
 
4.1%
4 1870
 
3.1%
Other values (12) 5171
 
8.6%

공정명
Text

Distinct160
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-12T16:43:12.908232image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length50
Median length38
Mean length16.7841
Min length2

Characters and Unicode

Total characters167841
Distinct characters122
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

Unique19 ?
Unique (%)0.2%

Sample

1st rowPR Development
2nd rowSTEM/EDS/HAADF
3rd rowOrganic Wet Process
4th rowFE SEM
5th rowE-beam Writing 직접사용
ValueCountFrequency (%)
pr 1873
 
7.1%
metal 1491
 
5.6%
1213
 
4.6%
5마이크로 1068
 
4.0%
evaporation 979
 
3.7%
이하 943
 
3.6%
coating 786
 
3.0%
track 777
 
2.9%
exposure 766
 
2.9%
etch 739
 
2.8%
Other values (227) 15884
59.9%
2023-12-12T16:43:13.498285image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
17106
 
10.2%
e 10151
 
6.0%
a 9866
 
5.9%
t 8705
 
5.2%
i 7392
 
4.4%
o 7240
 
4.3%
r 6999
 
4.2%
n 6878
 
4.1%
E 5370
 
3.2%
I 4678
 
2.8%
Other values (112) 83456
49.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 89893
53.6%
Uppercase Letter 41539
24.7%
Space Separator 17106
 
10.2%
Other Letter 7990
 
4.8%
Open Punctuation 2746
 
1.6%
Close Punctuation 2744
 
1.6%
Other Punctuation 2656
 
1.6%
Decimal Number 1808
 
1.1%
Dash Punctuation 1327
 
0.8%
Math Symbol 13
 
< 0.1%
Other values (2) 19
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 2188
27.4%
마 1068
13.4%
로 1068
13.4%
크 1068
13.4%
하 943
11.8%
상 157
 
2.0%
원 125
 
1.6%
센 109
 
1.4%
터 109
 
1.4%
지 93
 
1.2%
Other values (45) 1062
13.3%
Lowercase Letter
ValueCountFrequency (%)
e 10151
11.3%
a 9866
11.0%
t 8705
9.7%
i 7392
 
8.2%
o 7240
 
8.1%
r 6999
 
7.8%
n 6878
 
7.7%
l 4209
 
4.7%
s 4191
 
4.7%
c 4099
 
4.6%
Other values (14) 20163
22.4%
Uppercase Letter
ValueCountFrequency (%)
E 5370
12.9%
I 4678
11.3%
M 4511
10.9%
P 3814
9.2%
D 3623
8.7%
S 3469
8.4%
R 2355
 
5.7%
T 2261
 
5.4%
F 2134
 
5.1%
A 2124
 
5.1%
Other values (13) 7200
17.3%
Decimal Number
ValueCountFrequency (%)
5 1233
68.2%
2 321
 
17.8%
0 170
 
9.4%
8 32
 
1.8%
1 27
 
1.5%
4 10
 
0.6%
7 7
 
0.4%
6 7
 
0.4%
3 1
 
0.1%
Other Punctuation
ValueCountFrequency (%)
/ 1456
54.8%
, 1076
40.5%
& 124
 
4.7%
Math Symbol
ValueCountFrequency (%)
~ 11
84.6%
+ 2
 
15.4%
Space Separator
ValueCountFrequency (%)
17106
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2746
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2744
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1327
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 11
100.0%
Letter Number
ValueCountFrequency (%)
Ⅵ 8
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 131440
78.3%
Common 28411
 
16.9%
Hangul 7990
 
4.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
이 2188
27.4%
마 1068
13.4%
로 1068
13.4%
크 1068
13.4%
하 943
11.8%
상 157
 
2.0%
원 125
 
1.6%
센 109
 
1.4%
터 109
 
1.4%
지 93
 
1.2%
Other values (45) 1062
13.3%
Latin
ValueCountFrequency (%)
e 10151
 
7.7%
a 9866
 
7.5%
t 8705
 
6.6%
i 7392
 
5.6%
o 7240
 
5.5%
r 6999
 
5.3%
n 6878
 
5.2%
E 5370
 
4.1%
I 4678
 
3.6%
M 4511
 
3.4%
Other values (38) 59650
45.4%
Common
ValueCountFrequency (%)
17106
60.2%
( 2746
 
9.7%
) 2744
 
9.7%
/ 1456
 
5.1%
- 1327
 
4.7%
5 1233
 
4.3%
, 1076
 
3.8%
2 321
 
1.1%
0 170
 
0.6%
& 124
 
0.4%
Other values (9) 108
 
0.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 159843
95.2%
Hangul 7990
 
4.8%
Number Forms 8
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
17106
 
10.7%
e 10151
 
6.4%
a 9866
 
6.2%
t 8705
 
5.4%
i 7392
 
4.6%
o 7240
 
4.5%
r 6999
 
4.4%
n 6878
 
4.3%
E 5370
 
3.4%
I 4678
 
2.9%
Other values (56) 75458
47.2%
Hangul
ValueCountFrequency (%)
이 2188
27.4%
마 1068
13.4%
로 1068
13.4%
크 1068
13.4%
하 943
11.8%
상 157
 
2.0%
원 125
 
1.6%
센 109
 
1.4%
터 109
 
1.4%
지 93
 
1.2%
Other values (45) 1062
13.3%
Number Forms
ValueCountFrequency (%)
Ⅵ 8
100.0%

Interactions

2023-12-12T16:43:08.727319image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Missing values

2023-12-12T16:43:09.059114image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T16:43:09.147300image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

Sample

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25323L3AE20050021FL-WB10Develop Wet-bench(Litho)L3A002PR Development
69469C3AE17102601FC-TM20HR-TEM IIC3A021STEM/EDS/HAADF
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8142C3AE21033111FC-SM10FE SEM IC3A002FE SEM
57345L2AE18060331FL-EL10E-beam lithography I (9300)L2A001E-beam Writing 직접사용
31156B1AE19120151FB-DI20Dicing Machine IIB1A002Dicing (Manual, Pattern)
59037R4BE18060341FR-IE40ICP etcher IV(R&D)R4B003Si Dry Etch (General)
88110L1BE16100032FL-CA30Contact Aligner II (Manual)L1A001Exposure
12423R1BE201202122FL-ST20I-Line Stepper (8 inch)L1A001Exposure
72487B1AE17080461FB-DI10Dicing Machine IB1A002Dicing (Manual, Pattern)
서비스번호공정순번장비코드장비명공정코드공정명
92410F2C616070012FF-EB10E-beam evaporator I(foundry)F2B001Metal Evaporation
65569R7AE18010161FR-SS10Stress Measurement SystemR7A003Stress Measurement
30829C3AE19121581FC-FI10FIB IC3A018FIB(Imaging)
57905L5AE18070043FL-ST20I-Line Stepper (8 inch)L1A001Exposure
29068R1AE200200320FL-TR20Track II (4-6 inch)L1B013PR Development (Track II) - 5마이크로 이상
28365R1AE200201527FC-SM30FE SEM IIIC3A002FE SEM
23726C3AE20060101FC-TM20HR-TEM IIC3A021STEM/EDS/HAADF
78905L3A417040051FL-WS10Organic Wet-station(Litho)L3A001PR Removal(General)
59631B1AE18050301FB-DI30Dicing Machine IIIB1A002Dicing (Manual, Pattern)
87452C3A216100131FC-TM20HR-TEM IIC3A020TEM Imaging