Overview

Dataset statistics

Number of variables8
Number of observations41
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.8 KiB
Average record size in memory69.2 B

Variable types

Numeric2
Categorical1
Text5

Dataset

Description한국폴리텍대학의 전국 캠퍼스 정보입니다. 대학명, 캠퍼스명, 주소, 우편번호, 대표전화, 팩스번호, 홈페이지 URL을 포함합니다.
Author학교법인한국폴리텍
URLhttps://www.data.go.kr/data/15111420/fileData.do

Alerts

연번 is highly overall correlated with 우편번호 and 1 other fieldsHigh correlation
우편번호 is highly overall correlated with 연번High correlation
대학명 is highly overall correlated with 연번High correlation
연번 has unique valuesUnique
캠퍼스명 has unique valuesUnique
주소 has unique valuesUnique
우편번호 has unique valuesUnique
대표전화 has unique valuesUnique
팩스번호 has unique valuesUnique
홈페이지(URL) has unique valuesUnique

Reproduction

Analysis started2023-12-12 18:06:21.293631
Analysis finished2023-12-12 18:06:22.426794
Duration1.13 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct41
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean21
Minimum1
Maximum41
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-13T03:06:22.498971image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3
Q111
median21
Q331
95-th percentile39
Maximum41
Range40
Interquartile range (IQR)20

Descriptive statistics

Standard deviation11.979149
Coefficient of variation (CV)0.57043565
Kurtosis-1.2
Mean21
Median Absolute Deviation (MAD)10
Skewness0
Sum861
Variance143.5
MonotonicityStrictly increasing
2023-12-13T03:06:22.655092image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
1 1
 
2.4%
32 1
 
2.4%
24 1
 
2.4%
25 1
 
2.4%
26 1
 
2.4%
27 1
 
2.4%
28 1
 
2.4%
29 1
 
2.4%
30 1
 
2.4%
31 1
 
2.4%
Other values (31) 31
75.6%
ValueCountFrequency (%)
1 1
2.4%
2 1
2.4%
3 1
2.4%
4 1
2.4%
5 1
2.4%
6 1
2.4%
7 1
2.4%
8 1
2.4%
9 1
2.4%
10 1
2.4%
ValueCountFrequency (%)
41 1
2.4%
40 1
2.4%
39 1
2.4%
38 1
2.4%
37 1
2.4%
36 1
2.4%
35 1
2.4%
34 1
2.4%
33 1
2.4%
32 1
2.4%

대학명
Categorical

HIGH CORRELATION 

Distinct10
Distinct (%)24.4%
Missing0
Missing (%)0.0%
Memory size460.0 B
한국폴리텍 VI 대학
6 
한국폴리텍 VII 대학
6 
한국폴리텍 I 대학
5 
한국폴리텍 IV 대학
5 
한국폴리텍 V 대학
5 
Other values (5)
14 

Length

Max length12
Median length11
Mean length10.439024
Min length2

Unique

Unique1 ?
Unique (%)2.4%

Sample

1st row한국폴리텍 I 대학
2nd row한국폴리텍 I 대학
3rd row한국폴리텍 I 대학
4th row한국폴리텍 I 대학
5th row한국폴리텍 I 대학

Common Values

ValueCountFrequency (%)
한국폴리텍 VI 대학 6
14.6%
한국폴리텍 VII 대학 6
14.6%
한국폴리텍 I 대학 5
12.2%
한국폴리텍 IV 대학 5
12.2%
한국폴리텍 V 대학 5
12.2%
한국폴리텍 II 대학 4
9.8%
한국폴리텍특성화대학 4
9.8%
한국폴리텍 III 대학 3
7.3%
법인 2
 
4.9%
한국폴리텍다솜고등학교 1
 
2.4%

Length

2023-12-13T03:06:22.830075image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T03:06:22.967784image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
한국폴리텍 34
31.2%
대학 34
31.2%
vi 6
 
5.5%
vii 6
 
5.5%
i 5
 
4.6%
iv 5
 
4.6%
v 5
 
4.6%
ii 4
 
3.7%
한국폴리텍특성화대학 4
 
3.7%
iii 3
 
2.8%
Other values (2) 3
 
2.8%

캠퍼스명
Text

UNIQUE 

Distinct41
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size460.0 B
2023-12-13T03:06:23.276777image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length5
Mean length5.7073171
Min length3

Characters and Unicode

Total characters234
Distinct characters65
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique41 ?
Unique (%)100.0%

Sample

1st row서울정수캠퍼스
2nd row서울강서캠퍼스
3rd row성남캠퍼스
4th row제주캠퍼스
5th row분당융합기술교육원
ValueCountFrequency (%)
서울정수캠퍼스 1
 
2.4%
순천캠퍼스 1
 
2.4%
구미캠퍼스 1
 
2.4%
남대구캠퍼스 1
 
2.4%
포항캠퍼스 1
 
2.4%
영주캠퍼스 1
 
2.4%
영남융합기술캠퍼스 1
 
2.4%
창원캠퍼스 1
 
2.4%
부산캠퍼스 1
 
2.4%
울산캠퍼스 1
 
2.4%
Other values (31) 31
75.6%
2023-12-13T03:06:23.778496image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
캠 35
 
15.0%
퍼 35
 
15.0%
스 35
 
15.0%
주 7
 
3.0%
원 7
 
3.0%
산 5
 
2.1%
술 5
 
2.1%
기 5
 
2.1%
남 5
 
2.1%
교 5
 
2.1%
Other values (55) 90
38.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 234
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
캠 35
 
15.0%
퍼 35
 
15.0%
스 35
 
15.0%
주 7
 
3.0%
원 7
 
3.0%
산 5
 
2.1%
술 5
 
2.1%
기 5
 
2.1%
남 5
 
2.1%
교 5
 
2.1%
Other values (55) 90
38.5%

Most occurring scripts

ValueCountFrequency (%)
Hangul 234
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
캠 35
 
15.0%
퍼 35
 
15.0%
스 35
 
15.0%
주 7
 
3.0%
원 7
 
3.0%
산 5
 
2.1%
술 5
 
2.1%
기 5
 
2.1%
남 5
 
2.1%
교 5
 
2.1%
Other values (55) 90
38.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 234
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
캠 35
 
15.0%
퍼 35
 
15.0%
스 35
 
15.0%
주 7
 
3.0%
원 7
 
3.0%
산 5
 
2.1%
술 5
 
2.1%
기 5
 
2.1%
남 5
 
2.1%
교 5
 
2.1%
Other values (55) 90
38.5%

주소
Text

UNIQUE 

Distinct41
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size460.0 B
2023-12-13T03:06:24.232128image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length21
Mean length19.073171
Min length12

Characters and Unicode

Total characters782
Distinct characters134
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique41 ?
Unique (%)100.0%

Sample

1st row서울시 용산구 보광로 73
2nd row서울특별시 강서구 우장산로10길 112
3rd row경기도 성남시 수정구 수정로 398
4th row제주특별자치도 제주시 산천단동3길 2
5th row경기도 성남시 분당구 황새울로 329번길 5
ValueCountFrequency (%)
경기도 5
 
2.8%
전라북도 4
 
2.2%
충청북도 3
 
1.7%
충청남도 3
 
1.7%
대구광역시 3
 
1.7%
강원도 3
 
1.7%
경상북도 3
 
1.7%
울산광역시 2
 
1.1%
북구 2
 
1.1%
2 2
 
1.1%
Other values (142) 150
83.3%
2023-12-13T03:06:24.815959image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
139
 
17.8%
시 39
 
5.0%
로 34
 
4.3%
도 28
 
3.6%
1 27
 
3.5%
2 23
 
2.9%
구 21
 
2.7%
4 18
 
2.3%
산 18
 
2.3%
길 18
 
2.3%
Other values (124) 417
53.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 498
63.7%
Space Separator 139
 
17.8%
Decimal Number 137
 
17.5%
Dash Punctuation 6
 
0.8%
Open Punctuation 1
 
0.1%
Close Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 39
 
7.8%
로 34
 
6.8%
도 28
 
5.6%
구 21
 
4.2%
산 18
 
3.6%
길 18
 
3.6%
북 14
 
2.8%
남 14
 
2.8%
광 14
 
2.8%
경 13
 
2.6%
Other values (110) 285
57.2%
Decimal Number
ValueCountFrequency (%)
1 27
19.7%
2 23
16.8%
4 18
13.1%
5 17
12.4%
3 14
10.2%
8 11
8.0%
9 11
8.0%
0 7
 
5.1%
6 6
 
4.4%
7 3
 
2.2%
Space Separator
ValueCountFrequency (%)
139
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 6
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 498
63.7%
Common 284
36.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 39
 
7.8%
로 34
 
6.8%
도 28
 
5.6%
구 21
 
4.2%
산 18
 
3.6%
길 18
 
3.6%
북 14
 
2.8%
남 14
 
2.8%
광 14
 
2.8%
경 13
 
2.6%
Other values (110) 285
57.2%
Common
ValueCountFrequency (%)
139
48.9%
1 27
 
9.5%
2 23
 
8.1%
4 18
 
6.3%
5 17
 
6.0%
3 14
 
4.9%
8 11
 
3.9%
9 11
 
3.9%
0 7
 
2.5%
- 6
 
2.1%
Other values (4) 11
 
3.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 498
63.7%
ASCII 284
36.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
139
48.9%
1 27
 
9.5%
2 23
 
8.1%
4 18
 
6.3%
5 17
 
6.0%
3 14
 
4.9%
8 11
 
3.9%
9 11
 
3.9%
0 7
 
2.5%
- 6
 
2.1%
Other values (4) 11
 
3.9%
Hangul
ValueCountFrequency (%)
시 39
 
7.8%
로 34
 
6.8%
도 28
 
5.6%
구 21
 
4.2%
산 18
 
3.6%
길 18
 
3.6%
북 14
 
2.8%
남 14
 
2.8%
광 14
 
2.8%
경 13
 
2.6%
Other values (110) 285
57.2%

우편번호
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct41
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean36592.561
Minimum4392
Maximum63243
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-13T03:06:24.982074image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4392
5-th percentile13122
Q125605
median37859
Q351518
95-th percentile58542
Maximum63243
Range58851
Interquartile range (IQR)25913

Descriptive statistics

Standard deviation15811.475
Coefficient of variation (CV)0.43209533
Kurtosis-0.92563532
Mean36592.561
Median Absolute Deviation (MAD)13450
Skewness-0.17456655
Sum1500295
Variance2.5000274 × 108
MonotonicityNot monotonic
2023-12-13T03:06:25.157057image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
4392 1
 
2.4%
44776 1
 
2.4%
39257 1
 
2.4%
42985 1
 
2.4%
37859 1
 
2.4%
36142 1
 
2.4%
41027 1
 
2.4%
51518 1
 
2.4%
46550 1
 
2.4%
44482 1
 
2.4%
Other values (31) 31
75.6%
ValueCountFrequency (%)
4392 1
2.4%
7684 1
2.4%
13122 1
2.4%
13590 1
2.4%
14222 1
2.4%
17550 1
2.4%
18534 1
2.4%
21417 1
2.4%
22121 1
2.4%
24409 1
2.4%
ValueCountFrequency (%)
63243 1
2.4%
61099 1
2.4%
58542 1
2.4%
57975 1
2.4%
55728 1
2.4%
54853 1
2.4%
54567 1
2.4%
54352 1
2.4%
52766 1
2.4%
52549 1
2.4%

대표전화
Text

UNIQUE 

Distinct41
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size460.0 B
2023-12-13T03:06:25.450959image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters492
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique41 ?
Unique (%)100.0%

Sample

1st row02-2001-4000
2nd row02-2186-5800
3rd row031-739-4000
4th row064-754-7100
5th row031-696-8800
ValueCountFrequency (%)
02-2001-4000 1
 
2.4%
061-721-0300 1
 
2.4%
054-461-5241 1
 
2.4%
053-610-6600 1
 
2.4%
054-288-2200 1
 
2.4%
054-633-9500 1
 
2.4%
053-980-1100 1
 
2.4%
055-279-1700 1
 
2.4%
051-330-7800 1
 
2.4%
052-290-1500 1
 
2.4%
Other values (31) 31
75.6%
2023-12-13T03:06:25.904685image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 143
29.1%
- 82
16.7%
3 43
 
8.7%
1 40
 
8.1%
5 35
 
7.1%
6 33
 
6.7%
2 31
 
6.3%
4 30
 
6.1%
7 23
 
4.7%
9 19
 
3.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 410
83.3%
Dash Punctuation 82
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 143
34.9%
3 43
 
10.5%
1 40
 
9.8%
5 35
 
8.5%
6 33
 
8.0%
2 31
 
7.6%
4 30
 
7.3%
7 23
 
5.6%
9 19
 
4.6%
8 13
 
3.2%
Dash Punctuation
ValueCountFrequency (%)
- 82
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 492
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 143
29.1%
- 82
16.7%
3 43
 
8.7%
1 40
 
8.1%
5 35
 
7.1%
6 33
 
6.7%
2 31
 
6.3%
4 30
 
6.1%
7 23
 
4.7%
9 19
 
3.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 492
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 143
29.1%
- 82
16.7%
3 43
 
8.7%
1 40
 
8.1%
5 35
 
7.1%
6 33
 
6.7%
2 31
 
6.3%
4 30
 
6.1%
7 23
 
4.7%
9 19
 
3.9%

팩스번호
Text

UNIQUE 

Distinct41
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size460.0 B
2023-12-13T03:06:26.210945image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters492
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique41 ?
Unique (%)100.0%

Sample

1st row02-2001-4180
2nd row02-2186-5819
3rd row031-749-3375
4th row064-754-7112
5th row031-696-8809
ValueCountFrequency (%)
02-2001-4180 1
 
2.4%
061-721-0305 1
 
2.4%
054-464-2098 1
 
2.4%
053-610-6526 1
 
2.4%
054-274-2098 1
 
2.4%
054-633-4865 1
 
2.4%
053-980-1129 1
 
2.4%
055-282-1386 1
 
2.4%
051-332-4801 1
 
2.4%
052-290-1519 1
 
2.4%
Other values (31) 31
75.6%
2023-12-13T03:06:26.672610image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 82
16.7%
- 82
16.7%
3 49
10.0%
1 47
9.6%
5 47
9.6%
2 40
8.1%
6 38
7.7%
4 32
 
6.5%
9 29
 
5.9%
8 23
 
4.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 410
83.3%
Dash Punctuation 82
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 82
20.0%
3 49
12.0%
1 47
11.5%
5 47
11.5%
2 40
9.8%
6 38
9.3%
4 32
 
7.8%
9 29
 
7.1%
8 23
 
5.6%
7 23
 
5.6%
Dash Punctuation
ValueCountFrequency (%)
- 82
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 492
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 82
16.7%
- 82
16.7%
3 49
10.0%
1 47
9.6%
5 47
9.6%
2 40
8.1%
6 38
7.7%
4 32
 
6.5%
9 29
 
5.9%
8 23
 
4.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 492
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 82
16.7%
- 82
16.7%
3 49
10.0%
1 47
9.6%
5 47
9.6%
2 40
8.1%
6 38
7.7%
4 32
 
6.5%
9 29
 
5.9%
8 23
 
4.7%

홈페이지(URL)
Text

UNIQUE 

Distinct41
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size460.0 B
2023-12-13T03:06:26.982249image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length32
Median length29
Mean length28
Min length24

Characters and Unicode

Total characters1148
Distinct characters24
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

Unique41 ?
Unique (%)100.0%

Sample

1st rowhttp://www.kopo.ac.kr/jungsu
2nd rowhttp://www.kopo.ac.kr/kangseo
3rd rowhttp://www.kopo.ac.kr/seongnam
4th rowhttp://www.kopo.ac.kr/jeju
5th rowhttp://www.kopo.ac.kr/ctc
ValueCountFrequency (%)
http://www.kopo.ac.kr/jungsu 1
 
2.4%
http://www.kopo.ac.kr/suncheon 1
 
2.4%
http://www.kopo.ac.kr/gumi 1
 
2.4%
https://www.kopo.ac.kr/namdaegu 1
 
2.4%
http://www.kopo.ac.kr/pohang 1
 
2.4%
http://www.kopo.ac.kr/yeongju 1
 
2.4%
http://www.kopo.ac.kr/yct 1
 
2.4%
http://www.kopo.ac.kr/changwon 1
 
2.4%
http://www.kopo.ac.kr/busan 1
 
2.4%
http://www.kopo.ac.kr/ulsan 1
 
2.4%
Other values (31) 31
75.6%
2023-12-13T03:06:27.495729image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
w 128
11.1%
/ 123
10.7%
. 123
10.7%
o 104
9.1%
t 87
 
7.6%
p 86
 
7.5%
k 85
 
7.4%
a 63
 
5.5%
c 54
 
4.7%
h 52
 
4.5%
Other values (14) 243
21.2%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 861
75.0%
Other Punctuation 287
 
25.0%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
w 128
14.9%
o 104
12.1%
t 87
10.1%
p 86
10.0%
k 85
9.9%
a 63
7.3%
c 54
6.3%
h 52
6.0%
r 42
 
4.9%
n 41
 
4.8%
Other values (11) 119
13.8%
Other Punctuation
ValueCountFrequency (%)
/ 123
42.9%
. 123
42.9%
: 41
 
14.3%

Most occurring scripts

ValueCountFrequency (%)
Latin 861
75.0%
Common 287
 
25.0%

Most frequent character per script

Latin
ValueCountFrequency (%)
w 128
14.9%
o 104
12.1%
t 87
10.1%
p 86
10.0%
k 85
9.9%
a 63
7.3%
c 54
6.3%
h 52
6.0%
r 42
 
4.9%
n 41
 
4.8%
Other values (11) 119
13.8%
Common
ValueCountFrequency (%)
/ 123
42.9%
. 123
42.9%
: 41
 
14.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1148
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
w 128
11.1%
/ 123
10.7%
. 123
10.7%
o 104
9.1%
t 87
 
7.6%
p 86
 
7.5%
k 85
 
7.4%
a 63
 
5.5%
c 54
 
4.7%
h 52
 
4.5%
Other values (14) 243
21.2%

Interactions

2023-12-13T03:06:21.980886image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T03:06:21.753141image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T03:06:22.102317image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T03:06:21.854788image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T03:06:27.661813image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번대학명캠퍼스명주소우편번호대표전화팩스번호홈페이지(URL)
연번1.0000.9781.0001.0000.8251.0001.0001.000
대학명0.9781.0001.0001.0000.8811.0001.0001.000
캠퍼스명1.0001.0001.0001.0001.0001.0001.0001.000
주소1.0001.0001.0001.0001.0001.0001.0001.000
우편번호0.8250.8811.0001.0001.0001.0001.0001.000
대표전화1.0001.0001.0001.0001.0001.0001.0001.000
팩스번호1.0001.0001.0001.0001.0001.0001.0001.000
홈페이지(URL)1.0001.0001.0001.0001.0001.0001.0001.000
2023-12-13T03:06:27.817997image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번우편번호대학명
연번1.0000.5340.785
우편번호0.5341.0000.476
대학명0.7850.4761.000

Missing values

2023-12-13T03:06:22.232792image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T03:06:22.377107image/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

연번대학명캠퍼스명주소우편번호대표전화팩스번호홈페이지(URL)
01한국폴리텍 I 대학서울정수캠퍼스서울시 용산구 보광로 73439202-2001-400002-2001-4180http://www.kopo.ac.kr/jungsu
12한국폴리텍 I 대학서울강서캠퍼스서울특별시 강서구 우장산로10길 112768402-2186-580002-2186-5819http://www.kopo.ac.kr/kangseo
23한국폴리텍 I 대학성남캠퍼스경기도 성남시 수정구 수정로 39813122031-739-4000031-749-3375http://www.kopo.ac.kr/seongnam
34한국폴리텍 I 대학제주캠퍼스제주특별자치도 제주시 산천단동3길 263243064-754-7100064-754-7112http://www.kopo.ac.kr/jeju
45한국폴리텍 I 대학분당융합기술교육원경기도 성남시 분당구 황새울로 329번길 513590031-696-8800031-696-8809http://www.kopo.ac.kr/ctc
56한국폴리텍 II 대학인천캠퍼스인천광역시 부평구 무네미로 448번길 5621417032-510-2114032-519-6059http://www.kopo.ac.kr/incheon
67한국폴리텍 II 대학남인천캠퍼스인천광역시 미추홀구 염전로333번길 2322121032-450-0300032-873-2098http://www.kopo.ac.kr/namincheon
78한국폴리텍 II 대학화성캠퍼스경기도 화성시 팔탄면 제암고주로 10818534031-350-3200031-350-3129http://www.kopo.ac.kr/hwaseong
89한국폴리텍 II 대학광명융합기술교육원경기도 광명시 오리로 9041422202-2139-480002-2139-4810http://www.kopo.ac.kr/gm
910한국폴리텍 III 대학춘천캠퍼스강원도 춘천시 동산면 영서로 1290-3124409033-260-7600033-262-7606http://www.kopo.ac.kr/chuncheon
연번대학명캠퍼스명주소우편번호대표전화팩스번호홈페이지(URL)
3132한국폴리텍 VII 대학석유화학공정기술교육원울산광역시 남구 테크노산업로81번길 444776052-290-9600052-290-9610https://www.kopo.ac.kr/pptc
3233한국폴리텍 VII 대학동부산캠퍼스부산광역시 기장군 정관읍 산단4로 2-6946027051-609-6000051-728-5586http://www.kopo.ac.kr/dongbusan
3334한국폴리텍 VII 대학진주캠퍼스경남 진주시 모덕로 29952766055-752-9901055-752-0819http://www.kopo.ac.kr/jinju
3435한국폴리텍특성화대학바이오캠퍼스충청남도 논산시 강경읍 동안로112번길 4832943041-746-7300041-746-7310http://www.kopo.ac.kr/bio
3536한국폴리텍특성화대학항공캠퍼스경상남도 사천시 대학길 4652549055-830-3500055-830-3515http://www.kopo.ac.kr/kapc
3637한국폴리텍특성화대학반도체융합캠퍼스경기도 안성시 공도읍 송원길 41-1217550031-650-7300031-651-4314http://www.kopo.ac.kr/semi
3738한국폴리텍특성화대학로봇캠퍼스경상북도 영천시 로봇캠퍼스로1(화룡동)38839054-706-1000054-706-1005https://www.kopo.ac.kr/robot
3839한국폴리텍다솜고등학교다솜고등학교충청북도 제천시 원강저로 9427205043-649-2800043-649-2819http://www.kopo.ac.kr/dasom
3940법인신기술교육원전라북도 전주시 덕진구 유상로 2054853063-210-9114063-210-9169http://www.kopo.ac.kr/int
4041법인인재원전라북도 남원시 내척길 3155728063-620-9000063-620-9060http://www.kopo.ac.kr/namwon