Overview

Dataset statistics

Number of variables5
Number of observations361
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory14.6 KiB
Average record size in memory41.4 B

Variable types

Text4
Numeric1

Dataset

Description한국연구재단이 보유하고있는 산학협력종합지원센터 내 '산학협력단 기본정보' 데이터 입니다. 포함된 컬럼은 산학협력단명, 산학협력단설립년도, 홈페이지, 우편번호, 주소 가 있습니다
URLhttps://www.data.go.kr/data/15117258/fileData.do

Alerts

산학협력단명 has unique valuesUnique
홈페이지 has unique valuesUnique

Reproduction

Analysis started2023-12-11 23:40:38.398656
Analysis finished2023-12-11 23:40:38.940069
Duration0.54 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

산학협력단명
Text

UNIQUE 

Distinct361
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size2.9 KiB
2023-12-12T08:40:39.076669image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length18
Mean length9.6260388
Min length8

Characters and Unicode

Total characters3475
Distinct characters194
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique361 ?
Unique (%)100.0%

Sample

1st row북한대학원대학교_본교
2nd row배화여자대학교_본교
3rd row성균관대학교_본교
4th row동국대학교_본교
5th row한국방송통신대학교_본교
ValueCountFrequency (%)
북한대학원대학교_본교 1
 
0.3%
경남도립거창대학_본교 1
 
0.3%
진주교육대학교_본교 1
 
0.3%
한국국제대학교_본교 1
 
0.3%
연암공과대학교_본교 1
 
0.3%
경상국립대학교_본교 1
 
0.3%
창신대학교_본교 1
 
0.3%
경남대학교_본교 1
 
0.3%
마산대학교_본교 1
 
0.3%
한국해양대학교_본교 1
 
0.3%
Other values (351) 351
97.2%
2023-12-12T08:40:39.391794image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
교 715
20.6%
학 396
 
11.4%
대 393
 
11.3%
_ 361
 
10.4%
본 352
 
10.1%
한 56
 
1.6%
국 54
 
1.6%
원 40
 
1.2%
서 32
 
0.9%
동 31
 
0.9%
Other values (184) 1045
30.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3073
88.4%
Connector Punctuation 361
 
10.4%
Uppercase Letter 23
 
0.7%
Open Punctuation 7
 
0.2%
Close Punctuation 7
 
0.2%
Decimal Number 4
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
교 715
23.3%
학 396
12.9%
대 393
12.8%
본 352
 
11.5%
한 56
 
1.8%
국 54
 
1.8%
원 40
 
1.3%
서 32
 
1.0%
동 31
 
1.0%
경 30
 
1.0%
Other values (172) 974
31.7%
Uppercase Letter
ValueCountFrequency (%)
I 12
52.2%
V 4
 
17.4%
E 2
 
8.7%
S 1
 
4.3%
W 1
 
4.3%
R 1
 
4.3%
C 1
 
4.3%
A 1
 
4.3%
Connector Punctuation
ValueCountFrequency (%)
_ 361
100.0%
Open Punctuation
ValueCountFrequency (%)
( 7
100.0%
Close Punctuation
ValueCountFrequency (%)
) 7
100.0%
Decimal Number
ValueCountFrequency (%)
2 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3073
88.4%
Common 379
 
10.9%
Latin 23
 
0.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
교 715
23.3%
학 396
12.9%
대 393
12.8%
본 352
 
11.5%
한 56
 
1.8%
국 54
 
1.8%
원 40
 
1.3%
서 32
 
1.0%
동 31
 
1.0%
경 30
 
1.0%
Other values (172) 974
31.7%
Latin
ValueCountFrequency (%)
I 12
52.2%
V 4
 
17.4%
E 2
 
8.7%
S 1
 
4.3%
W 1
 
4.3%
R 1
 
4.3%
C 1
 
4.3%
A 1
 
4.3%
Common
ValueCountFrequency (%)
_ 361
95.3%
( 7
 
1.8%
) 7
 
1.8%
2 4
 
1.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3073
88.4%
ASCII 402
 
11.6%

Most frequent character per block

Hangul
ValueCountFrequency (%)
교 715
23.3%
학 396
12.9%
대 393
12.8%
본 352
 
11.5%
한 56
 
1.8%
국 54
 
1.8%
원 40
 
1.3%
서 32
 
1.0%
동 31
 
1.0%
경 30
 
1.0%
Other values (172) 974
31.7%
ASCII
ValueCountFrequency (%)
_ 361
89.8%
I 12
 
3.0%
( 7
 
1.7%
) 7
 
1.7%
V 4
 
1.0%
2 4
 
1.0%
E 2
 
0.5%
S 1
 
0.2%
W 1
 
0.2%
R 1
 
0.2%
Other values (2) 2
 
0.5%

산학협력단설립년도
Real number (ℝ)

Distinct19
Distinct (%)5.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2005.3573
Minimum2003
Maximum2022
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.3 KiB
2023-12-12T08:40:39.503138image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2003
5-th percentile2004
Q12004
median2004
Q32004
95-th percentile2014
Maximum2022
Range19
Interquartile range (IQR)0

Descriptive statistics

Standard deviation3.4700717
Coefficient of variation (CV)0.0017304007
Kurtosis7.9130227
Mean2005.3573
Median Absolute Deviation (MAD)0
Skewness2.8586916
Sum723934
Variance12.041397
MonotonicityNot monotonic
2023-12-12T08:40:39.604407image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
2004 264
73.1%
2005 16
 
4.4%
2003 14
 
3.9%
2006 12
 
3.3%
2010 6
 
1.7%
2012 6
 
1.7%
2009 6
 
1.7%
2007 6
 
1.7%
2008 5
 
1.4%
2011 4
 
1.1%
Other values (9) 22
 
6.1%
ValueCountFrequency (%)
2003 14
 
3.9%
2004 264
73.1%
2005 16
 
4.4%
2006 12
 
3.3%
2007 6
 
1.7%
2008 5
 
1.4%
2009 6
 
1.7%
2010 6
 
1.7%
2011 4
 
1.1%
2012 6
 
1.7%
ValueCountFrequency (%)
2022 2
 
0.6%
2020 3
0.8%
2019 3
0.8%
2018 1
 
0.3%
2017 2
 
0.6%
2016 3
0.8%
2015 2
 
0.6%
2014 3
0.8%
2013 3
0.8%
2012 6
1.7%

홈페이지
Text

UNIQUE 

Distinct361
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size2.9 KiB
2023-12-12T08:40:39.848999image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length99
Median length60
Mean length27.060942
Min length16

Characters and Unicode

Total characters9769
Distinct characters61
Distinct categories8 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique361 ?
Unique (%)100.0%

Sample

1st rowhttp://www.nk.ac.kr
2nd rowhttp://www.baewha.ac.kr/mbs/kr/index.jsp
3rd rowhttps://ranbiz.skku.edu/
4th rowhttps://rnd.dongguk.edu/
5th rowhttps://iacf.knou.ac.kr/
ValueCountFrequency (%)
http://www.nk.ac.kr 1
 
0.3%
https://www.gc.ac.kr 1
 
0.3%
http://www.cue.ac.kr/kor/main.do 1
 
0.3%
http://sanhak.iuk/ac.kr 1
 
0.3%
https://www.yc.ac.kr/iac/web/main/mainpage.do 1
 
0.3%
https://www.gnu.ac.kr/research/main.do 1
 
0.3%
https://sanhak.cs.ac.kr 1
 
0.3%
https://iacf.kyungnam.ac.kr 1
 
0.3%
https://www.masan.ac.kr/sanhak 1
 
0.3%
https://www.kmou.ac.kr/sanhak/main.do 1
 
0.3%
Other values (351) 351
97.2%
2023-12-12T08:40:40.268751image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 1117
 
11.4%
/ 990
 
10.1%
t 806
 
8.3%
a 758
 
7.8%
c 588
 
6.0%
h 563
 
5.8%
w 562
 
5.8%
k 549
 
5.6%
s 478
 
4.9%
r 459
 
4.7%
Other values (51) 2899
29.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 7145
73.1%
Other Punctuation 2480
 
25.4%
Decimal Number 81
 
0.8%
Uppercase Letter 42
 
0.4%
Math Symbol 10
 
0.1%
Connector Punctuation 9
 
0.1%
Space Separator 1
 
< 0.1%
Dash Punctuation 1
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
t 806
11.3%
a 758
10.6%
c 588
 
8.2%
h 563
 
7.9%
w 562
 
7.9%
k 549
 
7.7%
s 478
 
6.7%
r 459
 
6.4%
p 422
 
5.9%
n 387
 
5.4%
Other values (15) 1573
22.0%
Uppercase Letter
ValueCountFrequency (%)
M 7
16.7%
C 4
9.5%
N 4
9.5%
H 3
 
7.1%
A 3
 
7.1%
S 3
 
7.1%
P 3
 
7.1%
E 3
 
7.1%
B 2
 
4.8%
D 2
 
4.8%
Other values (7) 8
19.0%
Decimal Number
ValueCountFrequency (%)
0 27
33.3%
2 11
13.6%
1 10
 
12.3%
4 8
 
9.9%
3 6
 
7.4%
6 5
 
6.2%
9 5
 
6.2%
8 4
 
4.9%
7 3
 
3.7%
5 2
 
2.5%
Other Punctuation
ValueCountFrequency (%)
. 1117
45.0%
/ 990
39.9%
: 363
 
14.6%
? 8
 
0.3%
& 2
 
0.1%
Math Symbol
ValueCountFrequency (%)
= 10
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 9
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 7187
73.6%
Common 2582
 
26.4%

Most frequent character per script

Latin
ValueCountFrequency (%)
t 806
11.2%
a 758
10.5%
c 588
 
8.2%
h 563
 
7.8%
w 562
 
7.8%
k 549
 
7.6%
s 478
 
6.7%
r 459
 
6.4%
p 422
 
5.9%
n 387
 
5.4%
Other values (32) 1615
22.5%
Common
ValueCountFrequency (%)
. 1117
43.3%
/ 990
38.3%
: 363
 
14.1%
0 27
 
1.0%
2 11
 
0.4%
= 10
 
0.4%
1 10
 
0.4%
_ 9
 
0.3%
? 8
 
0.3%
4 8
 
0.3%
Other values (9) 29
 
1.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 9769
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 1117
 
11.4%
/ 990
 
10.1%
t 806
 
8.3%
a 758
 
7.8%
c 588
 
6.0%
h 563
 
5.8%
w 562
 
5.8%
k 549
 
5.6%
s 478
 
4.9%
r 459
 
4.7%
Other values (51) 2899
29.7%

우편번호
Text

Distinct356
Distinct (%)98.6%
Missing0
Missing (%)0.0%
Memory size2.9 KiB
2023-12-12T08:40:40.612078image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length6
Mean length5.9556787
Min length4

Characters and Unicode

Total characters2150
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

Unique351 ?
Unique (%)97.2%

Sample

1st row110230
2nd row110735
3rd row440746
4th row100715
5th row3087
ValueCountFrequency (%)
300718 2
 
0.6%
330841 2
 
0.6%
133791 2
 
0.6%
402751 2
 
0.6%
570749 2
 
0.6%
606791 1
 
0.3%
660757 1
 
0.3%
660759 1
 
0.3%
52821 1
 
0.3%
660701 1
 
0.3%
Other values (346) 346
95.8%
2023-12-12T08:40:41.109153image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
7 391
18.2%
1 317
14.7%
0 303
14.1%
4 219
10.2%
3 209
9.7%
2 171
8.0%
6 169
7.9%
5 159
7.4%
9 107
 
5.0%
8 104
 
4.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2149
> 99.9%
Dash Punctuation 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
7 391
18.2%
1 317
14.8%
0 303
14.1%
4 219
10.2%
3 209
9.7%
2 171
8.0%
6 169
7.9%
5 159
7.4%
9 107
 
5.0%
8 104
 
4.8%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2150
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
7 391
18.2%
1 317
14.7%
0 303
14.1%
4 219
10.2%
3 209
9.7%
2 171
8.0%
6 169
7.9%
5 159
7.4%
9 107
 
5.0%
8 104
 
4.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2150
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
7 391
18.2%
1 317
14.7%
0 303
14.1%
4 219
10.2%
3 209
9.7%
2 171
8.0%
6 169
7.9%
5 159
7.4%
9 107
 
5.0%
8 104
 
4.8%

주소
Text

Distinct359
Distinct (%)99.4%
Missing0
Missing (%)0.0%
Memory size2.9 KiB
2023-12-12T08:40:41.395384image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length43
Median length33
Mean length23.437673
Min length14

Characters and Unicode

Total characters8461
Distinct characters280
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique357 ?
Unique (%)98.9%

Sample

1st row서울특별시 종로구 북촌로15길 2
2nd row서울특별시 종로구 필운대로1길 34 배화여자대학
3rd row경기도 수원시 장안구 서부로 2066 성균관대학교자연과학캠퍼스
4th row서울특별시 중구 필동로1길 30 동국대학교
5th row서울특별시 종로구 대학로 86(동숭동)
ValueCountFrequency (%)
경기도 64
 
3.6%
서울특별시 63
 
3.5%
경상북도 34
 
1.9%
충청남도 26
 
1.5%
부산광역시 23
 
1.3%
경상남도 20
 
1.1%
전라북도 19
 
1.1%
대학로 18
 
1.0%
강원도 18
 
1.0%
충청북도 17
 
1.0%
Other values (990) 1485
83.1%
2023-12-12T08:40:41.818141image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1499
 
17.7%
대 437
 
5.2%
학 349
 
4.1%
시 329
 
3.9%
로 314
 
3.7%
구 228
 
2.7%
도 225
 
2.7%
1 199
 
2.4%
교 197
 
2.3%
경 173
 
2.0%
Other values (270) 4511
53.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 5797
68.5%
Space Separator 1499
 
17.7%
Decimal Number 1108
 
13.1%
Dash Punctuation 26
 
0.3%
Close Punctuation 9
 
0.1%
Open Punctuation 9
 
0.1%
Uppercase Letter 7
 
0.1%
Other Punctuation 3
 
< 0.1%
Letter Number 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
대 437
 
7.5%
학 349
 
6.0%
시 329
 
5.7%
로 314
 
5.4%
구 228
 
3.9%
도 225
 
3.9%
교 197
 
3.4%
경 173
 
3.0%
산 131
 
2.3%
서 130
 
2.2%
Other values (246) 3284
56.6%
Decimal Number
ValueCountFrequency (%)
1 199
18.0%
2 147
13.3%
5 125
11.3%
3 115
10.4%
0 109
9.8%
7 96
8.7%
6 93
8.4%
4 85
7.7%
8 77
 
6.9%
9 62
 
5.6%
Uppercase Letter
ValueCountFrequency (%)
L 2
28.6%
B 1
14.3%
G 1
14.3%
A 1
14.3%
C 1
14.3%
O 1
14.3%
Letter Number
ValueCountFrequency (%)
Ⅶ 1
33.3%
Ⅵ 1
33.3%
Ⅳ 1
33.3%
Space Separator
ValueCountFrequency (%)
1499
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 26
100.0%
Close Punctuation
ValueCountFrequency (%)
) 9
100.0%
Open Punctuation
ValueCountFrequency (%)
( 9
100.0%
Other Punctuation
ValueCountFrequency (%)
, 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 5797
68.5%
Common 2654
31.4%
Latin 10
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
대 437
 
7.5%
학 349
 
6.0%
시 329
 
5.7%
로 314
 
5.4%
구 228
 
3.9%
도 225
 
3.9%
교 197
 
3.4%
경 173
 
3.0%
산 131
 
2.3%
서 130
 
2.2%
Other values (246) 3284
56.6%
Common
ValueCountFrequency (%)
1499
56.5%
1 199
 
7.5%
2 147
 
5.5%
5 125
 
4.7%
3 115
 
4.3%
0 109
 
4.1%
7 96
 
3.6%
6 93
 
3.5%
4 85
 
3.2%
8 77
 
2.9%
Other values (5) 109
 
4.1%
Latin
ValueCountFrequency (%)
L 2
20.0%
Ⅶ 1
10.0%
B 1
10.0%
Ⅵ 1
10.0%
G 1
10.0%
Ⅳ 1
10.0%
A 1
10.0%
C 1
10.0%
O 1
10.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 5797
68.5%
ASCII 2661
31.5%
Number Forms 3
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1499
56.3%
1 199
 
7.5%
2 147
 
5.5%
5 125
 
4.7%
3 115
 
4.3%
0 109
 
4.1%
7 96
 
3.6%
6 93
 
3.5%
4 85
 
3.2%
8 77
 
2.9%
Other values (11) 116
 
4.4%
Hangul
ValueCountFrequency (%)
대 437
 
7.5%
학 349
 
6.0%
시 329
 
5.7%
로 314
 
5.4%
구 228
 
3.9%
도 225
 
3.9%
교 197
 
3.4%
경 173
 
3.0%
산 131
 
2.3%
서 130
 
2.2%
Other values (246) 3284
56.6%
Number Forms
ValueCountFrequency (%)
Ⅶ 1
33.3%
Ⅵ 1
33.3%
Ⅳ 1
33.3%

Interactions

2023-12-12T08:40:38.668675image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Missing values

2023-12-12T08:40:38.789334image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T08:40:38.894241image/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

산학협력단명산학협력단설립년도홈페이지우편번호주소
0북한대학원대학교_본교2005http://www.nk.ac.kr110230서울특별시 종로구 북촌로15길 2
1배화여자대학교_본교2005http://www.baewha.ac.kr/mbs/kr/index.jsp110735서울특별시 종로구 필운대로1길 34 배화여자대학
2성균관대학교_본교2004https://ranbiz.skku.edu/440746경기도 수원시 장안구 서부로 2066 성균관대학교자연과학캠퍼스
3동국대학교_본교2004https://rnd.dongguk.edu/100715서울특별시 중구 필동로1길 30 동국대학교
4한국방송통신대학교_본교2004https://iacf.knou.ac.kr/3087서울특별시 종로구 대학로 86(동숭동)
5숭의여자대학교_본교2004http://www.sewc.ac.kr100751서울특별시 중구 소파로2길 10 숭의여자대학
6숭실사이버대학교_본교2010https://www.kcu.ac110340서울특별시 종로구 삼일대로30길 23
7가톨릭대학교_본교2004https://iacf.catholic.ac.kr/main137701서울특별시 서초구 반포대로 222 가톨릭대학교 산학협력단
8서울교육대학교_본교2004http://rnd.snue.ac.kr/137742서울특별시 서초구 서초중앙로 96 서울교육대학교
9서울외국어대학원대학교_본교2006http://sufs.ac.kr137888서울특별시 서초구 남부순환로356길 85
산학협력단명산학협력단설립년도홈페이지우편번호주소
351신한대학교_본교2004https://www.shinhan.ac.kr480857경기도 의정부시 호암로 95
352경민대학교_본교2004http://www.kyungmin.ac.kr480702경기도 의정부시 서부로 545 경민대학
353서정대학교_본교2004https://www.seojeong.ac.kr482777경기도 양주시 화합로 1049-56 서정대학
354경복대학교_본교2004http://newrnd.kbu.ac.kr472948경기도 남양주시 경복대로 425 경복대학교남양주캠퍼스
355차의과학대학교_본교2004http://research2.cha.ac.kr487010경기도 포천시 해룡로 120
356대진대학교_본교2004http://tech.daejin.ac.kr487711경기도 포천시 호국로 1007 대진대학교
357한국항공대학교_본교2004http://research.kau.ac.kr412160경기도 고양시 덕양구 항공대학로 76
358웅지세무대학교_본교2004http://www.wat.ac.kr413843경기도 파주시 웅지로144번길 73
359농협대학교_본교2010http://www.nonghyup.ac.kr/n_main.asp412707경기도 고양시 덕양구 서삼릉길 281 농협대학
360국립암센터국제암대학원대학교_본교2019https://www.ncc-gcsp.ac.kr:8443/kr_cooper/cooper_01.jsp410769경기도 고양시 일산동구 일산로 323