Overview

Dataset statistics

Number of variables6
Number of observations4768
Missing cells12
Missing cells (%)< 0.1%
Duplicate rows422
Duplicate rows (%)8.9%
Total size in memory223.6 KiB
Average record size in memory48.0 B

Variable types

Categorical3
Text3

Dataset

Description한국폴리텍대학의 전국 캠퍼스에서 운영하고 있는 러닝팩토리의 실습장과 장비 목록입니다.
Author학교법인한국폴리텍
URLhttps://www.data.go.kr/data/15081024/fileData.do

Alerts

Dataset has 422 (8.9%) duplicate rowsDuplicates
캠퍼스명 is highly overall correlated with 대학명 and 1 other fieldsHigh correlation
대학명 is highly overall correlated with 캠퍼스명 and 1 other fieldsHigh correlation
건물명 is highly overall correlated with 대학명 and 1 other fieldsHigh correlation

Reproduction

Analysis started2023-12-12 04:00:03.937924
Analysis finished2023-12-12 04:00:05.183238
Duration1.25 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

대학명
Categorical

HIGH CORRELATION 

Distinct9
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size37.4 KiB
한국폴리텍 특성화대학
1697 
한국폴리텍Ⅵ대학
969 
한국폴리텍Ⅰ대학
681 
한국폴리텍Ⅳ대학
618 
한국폴리텍Ⅴ대학
303 
Other values (4)
500 

Length

Max length11
Median length8
Mean length9.0450923
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
한국폴리텍 특성화대학 1697
35.6%
한국폴리텍Ⅵ대학 969
20.3%
한국폴리텍Ⅰ대학 681
14.3%
한국폴리텍Ⅳ대학 618
 
13.0%
한국폴리텍Ⅴ대학 303
 
6.4%
한국폴리텍Ⅶ대학 249
 
5.2%
한국폴리텍Ⅲ대학 147
 
3.1%
한국폴리텍Ⅱ대학 86
 
1.8%
법인 18
 
0.4%

Length

2023-12-12T13:00:05.274413image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T13:00:05.432945image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
한국폴리텍 1697
26.2%
특성화대학 1697
26.2%
한국폴리텍ⅵ대학 969
15.0%
한국폴리텍ⅰ대학 681
10.5%
한국폴리텍ⅳ대학 618
 
9.6%
한국폴리텍ⅴ대학 303
 
4.7%
한국폴리텍ⅶ대학 249
 
3.9%
한국폴리텍ⅲ대학 147
 
2.3%
한국폴리텍ⅱ대학 86
 
1.3%
법인 18
 
0.3%

캠퍼스명
Categorical

HIGH CORRELATION 

Distinct27
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size37.4 KiB
로봇캠퍼스
1468 
서울정수캠퍼스
575 
영남융합기술캠퍼스
456 
대구캠퍼스
442 
청주캠퍼스
358 
Other values (22)
1469 

Length

Max length9
Median length5
Mean length5.6736577
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
로봇캠퍼스 1468
30.8%
서울정수캠퍼스 575
 
12.1%
영남융합기술캠퍼스 456
 
9.6%
대구캠퍼스 442
 
9.3%
청주캠퍼스 358
 
7.5%
창원캠퍼스 224
 
4.7%
바이오캠퍼스 164
 
3.4%
춘천캠퍼스 137
 
2.9%
광주캠퍼스 132
 
2.8%
전남캠퍼스 127
 
2.7%
Other values (17) 685
14.4%

Length

2023-12-12T13:00:05.635749image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
로봇캠퍼스 1468
30.8%
서울정수캠퍼스 575
 
12.1%
영남융합기술캠퍼스 456
 
9.6%
대구캠퍼스 442
 
9.3%
청주캠퍼스 358
 
7.5%
창원캠퍼스 224
 
4.7%
바이오캠퍼스 164
 
3.4%
춘천캠퍼스 137
 
2.9%
광주캠퍼스 132
 
2.8%
전남캠퍼스 127
 
2.7%
Other values (17) 685
14.4%

건물명
Categorical

HIGH CORRELATION 

Distinct38
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size37.4 KiB
공학관(로봇관)
1468 
제2공학관
586 
본관실습동(본관 및 제1공학관)
575 
실습동
442 
제1공학관
366 
Other values (33)
1331 

Length

Max length17
Median length13
Mean length7.3905201
Min length3

Unique

Unique3 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
공학관(로봇관) 1468
30.8%
제2공학관 586
 
12.3%
본관실습동(본관 및 제1공학관) 575
 
12.1%
실습동 442
 
9.3%
제1공학관 366
 
7.7%
본관강당동 339
 
7.1%
공학관 2동 164
 
3.4%
크리에이티브관_공학관 117
 
2.5%
나래관 104
 
2.2%
서석관 76
 
1.6%
Other values (28) 531
 
11.1%

Length

2023-12-12T13:00:05.842277image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
공학관(로봇관 1468
24.1%
제1공학관 941
15.5%
제2공학관 586
 
9.6%
본관실습동(본관 575
 
9.5%
및 575
 
9.5%
실습동 442
 
7.3%
본관강당동 339
 
5.6%
공학관 192
 
3.2%
2동 164
 
2.7%
크리에이티브관_공학관 117
 
1.9%
Other values (29) 684
11.2%

호실명
Text

Distinct168
Distinct (%)3.5%
Missing12
Missing (%)0.3%
Memory size37.4 KiB
2023-12-12T13:00:06.195619image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length18
Mean length8.4915896
Min length3

Characters and Unicode

Total characters40386
Distinct characters228
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

Unique44 ?
Unique (%)0.9%

Sample

1st rowCNC가공실
2nd rowCNC가공실
3rd rowCNC가공실
4th rowCNC가공실
5th row다축가공실
ValueCountFrequency (%)
전자부품설계실 328
 
5.8%
4강의장 287
 
5.1%
기초로봇실습실 190
 
3.4%
스마트공정솔루션lab 181
 
3.2%
ml실 173
 
3.1%
자동화공정실습실 172
 
3.0%
공정모니터링실습실 166
 
2.9%
1-1030)cnc프로그램실 159
 
2.8%
응용로봇실습실 151
 
2.7%
5강의장 145
 
2.6%
Other values (178) 3694
65.4%
2023-12-12T13:00:06.735828image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
실 4966
 
12.3%
습 1317
 
3.3%
1 960
 
2.4%
자 915
 
2.3%
0 900
 
2.2%
890
 
2.2%
품 867
 
2.1%
공 813
 
2.0%
계 741
 
1.8%
전 707
 
1.8%
Other values (218) 27310
67.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 29105
72.1%
Decimal Number 3239
 
8.0%
Lowercase Letter 2717
 
6.7%
Uppercase Letter 2712
 
6.7%
Space Separator 890
 
2.2%
Close Punctuation 613
 
1.5%
Open Punctuation 613
 
1.5%
Dash Punctuation 331
 
0.8%
Connector Punctuation 117
 
0.3%
Other Punctuation 27
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
실 4966
 
17.1%
습 1317
 
4.5%
자 915
 
3.1%
품 867
 
3.0%
공 813
 
2.8%
계 741
 
2.5%
전 707
 
2.4%
부 695
 
2.4%
의 682
 
2.3%
기 647
 
2.2%
Other values (168) 16755
57.6%
Uppercase Letter
ValueCountFrequency (%)
L 578
21.3%
C 551
20.3%
A 378
13.9%
I 237
8.7%
M 222
 
8.2%
N 219
 
8.1%
E 109
 
4.0%
T 103
 
3.8%
F 78
 
2.9%
R 58
 
2.1%
Other values (7) 179
 
6.6%
Lowercase Letter
ValueCountFrequency (%)
a 371
13.7%
e 340
12.5%
b 325
12.0%
c 264
9.7%
o 254
9.3%
i 251
9.2%
m 218
8.0%
l 205
7.5%
g 122
 
4.5%
r 109
 
4.0%
Other values (4) 258
9.5%
Decimal Number
ValueCountFrequency (%)
1 960
29.6%
0 900
27.8%
2 412
12.7%
4 362
 
11.2%
3 359
 
11.1%
5 184
 
5.7%
7 47
 
1.5%
9 11
 
0.3%
8 3
 
0.1%
6 1
 
< 0.1%
Other Punctuation
ValueCountFrequency (%)
: 22
81.5%
/ 4
 
14.8%
, 1
 
3.7%
Space Separator
ValueCountFrequency (%)
890
100.0%
Close Punctuation
ValueCountFrequency (%)
) 613
100.0%
Open Punctuation
ValueCountFrequency (%)
( 613
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 331
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 117
100.0%
Letter Number
ValueCountFrequency (%)
Ⅰ 22
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 29105
72.1%
Common 5830
 
14.4%
Latin 5451
 
13.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
실 4966
 
17.1%
습 1317
 
4.5%
자 915
 
3.1%
품 867
 
3.0%
공 813
 
2.8%
계 741
 
2.5%
전 707
 
2.4%
부 695
 
2.4%
의 682
 
2.3%
기 647
 
2.2%
Other values (168) 16755
57.6%
Latin
ValueCountFrequency (%)
L 578
 
10.6%
C 551
 
10.1%
A 378
 
6.9%
a 371
 
6.8%
e 340
 
6.2%
b 325
 
6.0%
c 264
 
4.8%
o 254
 
4.7%
i 251
 
4.6%
I 237
 
4.3%
Other values (22) 1902
34.9%
Common
ValueCountFrequency (%)
1 960
16.5%
0 900
15.4%
890
15.3%
) 613
10.5%
( 613
10.5%
2 412
7.1%
4 362
 
6.2%
3 359
 
6.2%
- 331
 
5.7%
5 184
 
3.2%
Other values (8) 206
 
3.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 29105
72.1%
ASCII 11259
 
27.9%
Number Forms 22
 
0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
실 4966
 
17.1%
습 1317
 
4.5%
자 915
 
3.1%
품 867
 
3.0%
공 813
 
2.8%
계 741
 
2.5%
전 707
 
2.4%
부 695
 
2.4%
의 682
 
2.3%
기 647
 
2.2%
Other values (168) 16755
57.6%
ASCII
ValueCountFrequency (%)
1 960
 
8.5%
0 900
 
8.0%
890
 
7.9%
) 613
 
5.4%
( 613
 
5.4%
L 578
 
5.1%
C 551
 
4.9%
2 412
 
3.7%
A 378
 
3.4%
a 371
 
3.3%
Other values (39) 4993
44.3%
Number Forms
ValueCountFrequency (%)
Ⅰ 22
100.0%

품목명
Text

Distinct514
Distinct (%)10.8%
Missing0
Missing (%)0.0%
Memory size37.4 KiB
2023-12-12T13:00:07.106267image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length40
Median length32
Mean length11.613255
Min length2

Characters and Unicode

Total characters55372
Distinct characters343
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique210 ?
Unique (%)4.4%

Sample

1st rowMachining Center
2nd rowCNC 선반
3rd rowMachining Center
4th rowCNC 선반
5th row5축 가공기
ValueCountFrequency (%)
pc 683
 
6.3%
s/w 607
 
5.6%
장치 480
 
4.4%
monitor 457
 
4.2%
실습 358
 
3.3%
system 206
 
1.9%
sw 186
 
1.7%
robot 156
 
1.4%
3d 152
 
1.4%
simulation 143
 
1.3%
Other values (652) 7389
68.3%
2023-12-12T13:00:07.662108image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
6049
 
10.9%
o 3824
 
6.9%
i 2463
 
4.4%
r 2449
 
4.4%
e 2322
 
4.2%
t 2037
 
3.7%
n 1906
 
3.4%
S 1644
 
3.0%
C 1643
 
3.0%
M 1457
 
2.6%
Other values (333) 29578
53.4%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 24011
43.4%
Other Letter 13146
23.7%
Uppercase Letter 11031
19.9%
Space Separator 6049
 
10.9%
Other Punctuation 752
 
1.4%
Decimal Number 272
 
0.5%
Open Punctuation 52
 
0.1%
Close Punctuation 52
 
0.1%
Dash Punctuation 7
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
장 704
 
5.4%
치 620
 
4.7%
스 532
 
4.0%
실 501
 
3.8%
습 464
 
3.5%
기 410
 
3.1%
용 398
 
3.0%
트 396
 
3.0%
어 382
 
2.9%
제 380
 
2.9%
Other values (271) 8359
63.6%
Lowercase Letter
ValueCountFrequency (%)
o 3824
15.9%
i 2463
10.3%
r 2449
10.2%
e 2322
9.7%
t 2037
8.5%
n 1906
7.9%
l 1405
 
5.9%
s 1150
 
4.8%
a 1015
 
4.2%
c 973
 
4.1%
Other values (15) 4467
18.6%
Uppercase Letter
ValueCountFrequency (%)
S 1644
14.9%
C 1643
14.9%
M 1457
13.2%
P 1435
13.0%
W 848
7.7%
D 741
 
6.7%
A 450
 
4.1%
T 357
 
3.2%
R 324
 
2.9%
I 266
 
2.4%
Other values (14) 1866
16.9%
Decimal Number
ValueCountFrequency (%)
3 188
69.1%
2 57
 
21.0%
6 20
 
7.4%
5 6
 
2.2%
4 1
 
0.4%
Other Punctuation
ValueCountFrequency (%)
/ 651
86.6%
& 76
 
10.1%
. 23
 
3.1%
, 2
 
0.3%
Space Separator
ValueCountFrequency (%)
6049
100.0%
Open Punctuation
ValueCountFrequency (%)
( 52
100.0%
Close Punctuation
ValueCountFrequency (%)
) 52
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 7
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 35042
63.3%
Hangul 13146
 
23.7%
Common 7184
 
13.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
장 704
 
5.4%
치 620
 
4.7%
스 532
 
4.0%
실 501
 
3.8%
습 464
 
3.5%
기 410
 
3.1%
용 398
 
3.0%
트 396
 
3.0%
어 382
 
2.9%
제 380
 
2.9%
Other values (271) 8359
63.6%
Latin
ValueCountFrequency (%)
o 3824
 
10.9%
i 2463
 
7.0%
r 2449
 
7.0%
e 2322
 
6.6%
t 2037
 
5.8%
n 1906
 
5.4%
S 1644
 
4.7%
C 1643
 
4.7%
M 1457
 
4.2%
P 1435
 
4.1%
Other values (39) 13862
39.6%
Common
ValueCountFrequency (%)
6049
84.2%
/ 651
 
9.1%
3 188
 
2.6%
& 76
 
1.1%
2 57
 
0.8%
( 52
 
0.7%
) 52
 
0.7%
. 23
 
0.3%
6 20
 
0.3%
- 7
 
0.1%
Other values (3) 9
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 42226
76.3%
Hangul 13146
 
23.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
6049
 
14.3%
o 3824
 
9.1%
i 2463
 
5.8%
r 2449
 
5.8%
e 2322
 
5.5%
t 2037
 
4.8%
n 1906
 
4.5%
S 1644
 
3.9%
C 1643
 
3.9%
M 1457
 
3.5%
Other values (52) 16432
38.9%
Hangul
ValueCountFrequency (%)
장 704
 
5.4%
치 620
 
4.7%
스 532
 
4.0%
실 501
 
3.8%
습 464
 
3.5%
기 410
 
3.1%
용 398
 
3.0%
트 396
 
3.0%
어 382
 
2.9%
제 380
 
2.9%
Other values (271) 8359
63.6%

규격명
Text

Distinct720
Distinct (%)15.1%
Missing0
Missing (%)0.0%
Memory size37.4 KiB
2023-12-12T13:00:07.986312image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length91
Median length55
Mean length19.538381
Min length2

Characters and Unicode

Total characters93159
Distinct characters490
Distinct categories15 ?
Distinct scripts4 ?
Distinct blocks8 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique347 ?
Unique (%)7.3%

Sample

1st row고정밀머시닝센터,테이블작업면적1400×660×135mm이상
2nd rowCNC선반
3rd row머시닝센터, 510mm x 300mm(이상)
4th rowcnc선반, SW300mm이상
5th row5축가공기,이송거리750x650x500x120이상속도50/50/50/8.3/33.3이상
ValueCountFrequency (%)
이상 804
 
4.8%
core 423
 
2.5%
intel 416
 
2.5%
373
 
2.2%
및 275
 
1.7%
i7 215
 
1.3%
i7-8700(3.2ghz 161
 
1.0%
27인치 148
 
0.9%
지원 147
 
0.9%
cpu 133
 
0.8%
Other values (1618) 13505
81.4%
2023-12-12T13:00:08.482913image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
12273
 
13.2%
0 3911
 
4.2%
, 3301
 
3.5%
e 2747
 
2.9%
i 2251
 
2.4%
2 2125
 
2.3%
o 1943
 
2.1%
C 1802
 
1.9%
r 1739
 
1.9%
t 1682
 
1.8%
Other values (480) 59385
63.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 22013
23.6%
Lowercase Letter 21649
23.2%
Decimal Number 14683
15.8%
Uppercase Letter 14171
15.2%
Space Separator 12273
13.2%
Other Punctuation 5608
 
6.0%
Close Punctuation 847
 
0.9%
Open Punctuation 845
 
0.9%
Dash Punctuation 678
 
0.7%
Math Symbol 238
 
0.3%
Other values (5) 154
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 1606
 
7.3%
상 1332
 
6.1%
치 583
 
2.6%
스 502
 
2.3%
인 479
 
2.2%
기 438
 
2.0%
터 370
 
1.7%
어 346
 
1.6%
모 331
 
1.5%
트 323
 
1.5%
Other values (375) 15703
71.3%
Lowercase Letter
ValueCountFrequency (%)
e 2747
12.7%
i 2251
10.4%
o 1943
 
9.0%
r 1739
 
8.0%
t 1682
 
7.8%
l 1388
 
6.4%
n 1349
 
6.2%
m 1264
 
5.8%
a 1239
 
5.7%
c 997
 
4.6%
Other values (20) 5050
23.3%
Uppercase Letter
ValueCountFrequency (%)
C 1802
12.7%
A 1366
 
9.6%
D 999
 
7.0%
P 899
 
6.3%
H 812
 
5.7%
G 806
 
5.7%
I 803
 
5.7%
M 789
 
5.6%
R 741
 
5.2%
S 723
 
5.1%
Other values (19) 4431
31.3%
Decimal Number
ValueCountFrequency (%)
0 3911
26.6%
2 2125
14.5%
1 1572
10.7%
3 1474
 
10.0%
7 1389
 
9.5%
8 1219
 
8.3%
5 1101
 
7.5%
4 731
 
5.0%
6 721
 
4.9%
9 440
 
3.0%
Other Punctuation
ValueCountFrequency (%)
, 3301
58.9%
. 899
 
16.0%
/ 582
 
10.4%
: 327
 
5.8%
* 234
 
4.2%
" 150
 
2.7%
& 51
 
0.9%
% 45
 
0.8%
# 12
 
0.2%
' 7
 
0.1%
Math Symbol
ValueCountFrequency (%)
～ 83
34.9%
~ 79
33.2%
± 25
 
10.5%
× 21
 
8.8%
< 10
 
4.2%
∼ 8
 
3.4%
= 6
 
2.5%
∽ 2
 
0.8%
+ 2
 
0.8%
> 2
 
0.8%
Other Symbol
ValueCountFrequency (%)
™ 35
27.6%
® 35
27.6%
㎒ 16
12.6%
㎛ 15
11.8%
° 12
 
9.4%
㎜ 9
 
7.1%
℃ 4
 
3.1%
㎾ 1
 
0.8%
Space Separator
ValueCountFrequency (%)
12273
100.0%
Close Punctuation
ValueCountFrequency (%)
) 847
100.0%
Open Punctuation
ValueCountFrequency (%)
( 845
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 678
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 23
100.0%
Letter Number
ValueCountFrequency (%)
ⅹ 2
100.0%
Initial Punctuation
ValueCountFrequency (%)
“ 1
100.0%
Modifier Symbol
ValueCountFrequency (%)
^ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 35710
38.3%
Common 35324
37.9%
Hangul 22013
23.6%
Greek 112
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
이 1606
 
7.3%
상 1332
 
6.1%
치 583
 
2.6%
스 502
 
2.3%
인 479
 
2.2%
기 438
 
2.0%
터 370
 
1.7%
어 346
 
1.6%
모 331
 
1.5%
트 323
 
1.5%
Other values (375) 15703
71.3%
Latin
ValueCountFrequency (%)
e 2747
 
7.7%
i 2251
 
6.3%
o 1943
 
5.4%
C 1802
 
5.0%
r 1739
 
4.9%
t 1682
 
4.7%
l 1388
 
3.9%
A 1366
 
3.8%
n 1349
 
3.8%
m 1264
 
3.5%
Other values (45) 18179
50.9%
Common
ValueCountFrequency (%)
12273
34.7%
0 3911
 
11.1%
, 3301
 
9.3%
2 2125
 
6.0%
1 1572
 
4.5%
3 1474
 
4.2%
7 1389
 
3.9%
8 1219
 
3.5%
5 1101
 
3.1%
. 899
 
2.5%
Other values (35) 6060
17.2%
Greek
ValueCountFrequency (%)
Ω 60
53.6%
μ 46
41.1%
Φ 3
 
2.7%
φ 2
 
1.8%
α 1
 
0.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 70759
76.0%
Hangul 22013
 
23.6%
None 294
 
0.3%
CJK Compat 41
 
< 0.1%
Letterlike Symbols 39
 
< 0.1%
Math Operators 10
 
< 0.1%
Number Forms 2
 
< 0.1%
Punctuation 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
12273
 
17.3%
0 3911
 
5.5%
, 3301
 
4.7%
e 2747
 
3.9%
i 2251
 
3.2%
2 2125
 
3.0%
o 1943
 
2.7%
C 1802
 
2.5%
r 1739
 
2.5%
t 1682
 
2.4%
Other values (73) 36985
52.3%
Hangul
ValueCountFrequency (%)
이 1606
 
7.3%
상 1332
 
6.1%
치 583
 
2.6%
스 502
 
2.3%
인 479
 
2.2%
기 438
 
2.0%
터 370
 
1.7%
어 346
 
1.6%
모 331
 
1.5%
트 323
 
1.5%
Other values (375) 15703
71.3%
None
ValueCountFrequency (%)
～ 83
28.2%
Ω 60
20.4%
μ 46
15.6%
® 35
11.9%
± 25
 
8.5%
× 21
 
7.1%
° 12
 
4.1%
Ø 5
 
1.7%
Φ 3
 
1.0%
φ 2
 
0.7%
Other values (2) 2
 
0.7%
Letterlike Symbols
ValueCountFrequency (%)
™ 35
89.7%
℃ 4
 
10.3%
CJK Compat
ValueCountFrequency (%)
㎒ 16
39.0%
㎛ 15
36.6%
㎜ 9
22.0%
㎾ 1
 
2.4%
Math Operators
ValueCountFrequency (%)
∼ 8
80.0%
∽ 2
 
20.0%
Number Forms
ValueCountFrequency (%)
ⅹ 2
100.0%
Punctuation
ValueCountFrequency (%)
“ 1
100.0%

Correlations

2023-12-12T13:00:08.607917image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
대학명캠퍼스명건물명
대학명1.0001.0000.984
캠퍼스명1.0001.0000.992
건물명0.9840.9921.000
2023-12-12T13:00:08.736972image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
건물명캠퍼스명대학명
건물명1.0000.8370.881
캠퍼스명0.8371.0000.998
대학명0.8810.9981.000
2023-12-12T13:00:08.860375image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
대학명캠퍼스명건물명
대학명1.0000.9980.881
캠퍼스명0.9981.0000.837
건물명0.8810.8371.000

Missing values

2023-12-12T13:00:04.954993image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T13:00:05.110174image/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

대학명캠퍼스명건물명호실명품목명규격명
0법인신기술교육원신기술교육원CNC가공실Machining Center고정밀머시닝센터,테이블작업면적1400×660×135mm이상
1법인신기술교육원신기술교육원CNC가공실CNC 선반CNC선반
2법인신기술교육원신기술교육원CNC가공실Machining Center머시닝센터, 510mm x 300mm(이상)
3법인신기술교육원신기술교육원CNC가공실CNC 선반cnc선반, SW300mm이상
4법인신기술교육원신기술교육원다축가공실5축 가공기5축가공기,이송거리750x650x500x120이상속도50/50/50/8.3/33.3이상
5법인신기술교육원신기술교육원연수처(학사지원실)CNC S/WCNC 가공기 데이터 수집
6법인신기술교육원신기술교육원연수처(학사지원실)IOT 융합 기상 관측 Systemlot 융합 기상 관측
7법인신기술교육원신기술교육원연수처(학사지원실)SCADA System SWSCADA프로그램, POP용
8법인신기술교육원신기술교육원연수처(학사지원실)Mobile RobotMobile Robot, 패이로드 9*0Kg
9법인신기술교육원신기술교육원연수처(학사지원실)다관절 Robot산업용 다관절 협동 로봇
대학명캠퍼스명건물명호실명품목명규격명
4758한국폴리텍 특성화대학로봇캠퍼스공학관(로봇관)콜레보토리Display Panel55" 이상
4759한국폴리텍 특성화대학로봇캠퍼스공학관(로봇관)콜레보토리Display Panel55" 이상
4760한국폴리텍 특성화대학로봇캠퍼스공학관(로봇관)콜레보토리제어프로그래밍 PCi3 7100T, 3.4GHz
4761한국폴리텍 특성화대학로봇캠퍼스공학관(로봇관)콜레보토리제어프로그래밍 PCi3 7100T, 3.4GHz
4762한국폴리텍 특성화대학로봇캠퍼스공학관(로봇관)콜레보토리제어프로그래밍 PCi3 7100T, 3.4GHz
4763한국폴리텍 특성화대학로봇캠퍼스공학관(로봇관)콜레보토리제어프로그래밍 PCi3 7100T, 3.4GHz
4764한국폴리텍 특성화대학로봇캠퍼스공학관(로봇관)홀(3층)Display Panel55" 이상
4765한국폴리텍 특성화대학로봇캠퍼스공학관(로봇관)홀(3층)제어프로그래밍 PCi3 7100T, 3.4GHz
4766한국폴리텍 특성화대학로봇캠퍼스공학관(로봇관)홀(4층)Display Panel55" 이상
4767한국폴리텍 특성화대학로봇캠퍼스공학관(로봇관)홀(4층)제어프로그래밍 PCi3 7100T, 3.4GHz

Duplicate rows

Most frequently occurring

대학명캠퍼스명건물명호실명품목명규격명# duplicates
402한국폴리텍Ⅶ대학창원캠퍼스제1공학관(1-1030)CNC프로그램실Monitor24인치39
403한국폴리텍Ⅶ대학창원캠퍼스제1공학관(1-1030)CNC프로그램실PCIntel Core i7 8700(3.2GHz)38
135한국폴리텍 특성화대학항공캠퍼스제1공학관항공기Multi설계실PC프로그램조작기(삼보컴퓨터,DC-353-G470-DD01),intel Core 4770(3.4GHZ)37
245한국폴리텍Ⅳ대학청주캠퍼스제2공학관스마트공정솔루션LabMonitor24"이상37
248한국폴리텍Ⅳ대학청주캠퍼스제2공학관스마트공정솔루션LabPCi7이상, RAM 8G이상37
251한국폴리텍Ⅳ대학청주캠퍼스제2공학관스마트공정솔루션Lab생산 공정 분석 및 Monitoring SystemX-SCADA System37
239한국폴리텍Ⅳ대학청주캠퍼스제2공학관스마트 IoT LabHard Disk 보안 S/WPC복구 및 제어(클래스M v2.0)36
244한국폴리텍Ⅳ대학청주캠퍼스제2공학관스마트공정솔루션LabHard Disk 보안 S/WPC복구 및 제어(클래스M v2.0)36
252한국폴리텍Ⅳ대학청주캠퍼스제2공학관스마트네트워크실습실Hard Disk 보안 S/WPC복구 및 제어(클래스M v2.0)36
202한국폴리텍Ⅲ대학춘천캠퍼스제1공학관열린융복합실습지원센터Monitor73.02cm 2560*1080pixel 명암비1000:134