Overview

Dataset statistics

Number of variables4
Number of observations127
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory4.3 KiB
Average record size in memory35.0 B

Variable types

Numeric2
Text1
Categorical1

Dataset

Description대학재정회계센터 내 게시판(온라인 상담 / FAQ / 자료실 등)에 등록된 게시판 내용입니다. 작성연도, 제목, 조회수, 작성일자 정보가 저장되어있습니다.
URLhttps://www.data.go.kr/data/15119866/fileData.do

Alerts

작성연도 is highly overall correlated with 작성일자High correlation
조회수 is highly overall correlated with 작성일자High correlation
작성일자 is highly overall correlated with 작성연도 and 1 other fieldsHigh correlation
게시글 제목 has unique valuesUnique

Reproduction

Analysis started2023-12-12 04:09:06.236571
Analysis finished2023-12-12 04:09:07.250792
Duration1.01 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

작성연도
Real number (ℝ)

HIGH CORRELATION 

Distinct12
Distinct (%)9.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2014.4567
Minimum2008
Maximum2034
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2023-12-12T13:09:07.317949image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2008
5-th percentile2010
Q12011
median2013
Q32016
95-th percentile2029
Maximum2034
Range26
Interquartile range (IQR)5

Descriptive statistics

Standard deviation5.4068679
Coefficient of variation (CV)0.0026840328
Kurtosis3.9960966
Mean2014.4567
Median Absolute Deviation (MAD)3
Skewness2.0352995
Sum255836
Variance29.234221
MonotonicityNot monotonic
2023-12-12T13:09:07.486442image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
2016 34
26.8%
2013 26
20.5%
2010 24
18.9%
2011 19
15.0%
2029 8
 
6.3%
2014 5
 
3.9%
2015 4
 
3.1%
2008 2
 
1.6%
2034 2
 
1.6%
2009 1
 
0.8%
Other values (2) 2
 
1.6%
ValueCountFrequency (%)
2008 2
 
1.6%
2009 1
 
0.8%
2010 24
18.9%
2011 19
15.0%
2013 26
20.5%
2014 5
 
3.9%
2015 4
 
3.1%
2016 34
26.8%
2020 1
 
0.8%
2029 8
 
6.3%
ValueCountFrequency (%)
2034 2
 
1.6%
2030 1
 
0.8%
2029 8
 
6.3%
2020 1
 
0.8%
2016 34
26.8%
2015 4
 
3.1%
2014 5
 
3.9%
2013 26
20.5%
2011 19
15.0%
2010 24
18.9%

게시글 제목
Text

UNIQUE 

Distinct127
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
2023-12-12T13:09:07.763676image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length42
Median length30
Mean length21.464567
Min length3

Characters and Unicode

Total characters2726
Distinct characters318
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks5 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique127 ?
Unique (%)100.0%

Sample

1st row기타소득만 있는 학생의 유가환급금 신청여부
2nd row산학협력의 성과와 과제에 대한 고찰
3rd row대학재정확충방안 - 등록금 외 대체재원 중심으로
4th row중국 대학 산학협력 탐방보고서
5th row한양대학교 산학협력단 상해센터 소개
ValueCountFrequency (%)
및 10
 
2.1%
관한 8
 
1.7%
판결 6
 
1.3%
대법원 6
 
1.3%
선고 6
 
1.3%
문의 5
 
1.1%
대한 5
 
1.1%
주요 5
 
1.1%
질의 4
 
0.8%
관련 4
 
0.8%
Other values (376) 416
87.6%
2023-12-12T13:09:08.288865image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
364
 
13.4%
0 107
 
3.9%
2 63
 
2.3%
. 54
 
2.0%
의 50
 
1.8%
8 48
 
1.8%
대 44
 
1.6%
학 43
 
1.6%
관 41
 
1.5%
사 40
 
1.5%
Other values (308) 1872
68.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1887
69.2%
Space Separator 364
 
13.4%
Decimal Number 299
 
11.0%
Other Punctuation 69
 
2.5%
Connector Punctuation 36
 
1.3%
Open Punctuation 20
 
0.7%
Close Punctuation 20
 
0.7%
Uppercase Letter 20
 
0.7%
Dash Punctuation 5
 
0.2%
Lowercase Letter 4
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
의 50
 
2.6%
대 44
 
2.3%
학 43
 
2.3%
관 41
 
2.2%
사 40
 
2.1%
정 39
 
2.1%
계 37
 
2.0%
교 34
 
1.8%
법 33
 
1.7%
자 32
 
1.7%
Other values (265) 1494
79.2%
Uppercase Letter
ValueCountFrequency (%)
I 3
15.0%
R 3
15.0%
U 2
10.0%
D 2
10.0%
C 2
10.0%
K 1
 
5.0%
B 1
 
5.0%
N 1
 
5.0%
E 1
 
5.0%
A 1
 
5.0%
Other values (3) 3
15.0%
Decimal Number
ValueCountFrequency (%)
0 107
35.8%
2 63
21.1%
8 48
16.1%
1 21
 
7.0%
3 16
 
5.4%
7 15
 
5.0%
6 11
 
3.7%
9 7
 
2.3%
5 7
 
2.3%
4 4
 
1.3%
Other Punctuation
ValueCountFrequency (%)
. 54
78.3%
, 6
 
8.7%
· 4
 
5.8%
… 3
 
4.3%
/ 1
 
1.4%
? 1
 
1.4%
Open Punctuation
ValueCountFrequency (%)
( 18
90.0%
「 1
 
5.0%
[ 1
 
5.0%
Close Punctuation
ValueCountFrequency (%)
) 18
90.0%
」 1
 
5.0%
] 1
 
5.0%
Lowercase Letter
ValueCountFrequency (%)
t 2
50.0%
s 1
25.0%
e 1
25.0%
Letter Number
ValueCountFrequency (%)
Ⅰ 1
50.0%
Ⅱ 1
50.0%
Space Separator
ValueCountFrequency (%)
364
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 36
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1887
69.2%
Common 813
29.8%
Latin 26
 
1.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
의 50
 
2.6%
대 44
 
2.3%
학 43
 
2.3%
관 41
 
2.2%
사 40
 
2.1%
정 39
 
2.1%
계 37
 
2.0%
교 34
 
1.8%
법 33
 
1.7%
자 32
 
1.7%
Other values (265) 1494
79.2%
Common
ValueCountFrequency (%)
364
44.8%
0 107
 
13.2%
2 63
 
7.7%
. 54
 
6.6%
8 48
 
5.9%
_ 36
 
4.4%
1 21
 
2.6%
( 18
 
2.2%
) 18
 
2.2%
3 16
 
2.0%
Other values (15) 68
 
8.4%
Latin
ValueCountFrequency (%)
I 3
 
11.5%
R 3
 
11.5%
t 2
 
7.7%
U 2
 
7.7%
D 2
 
7.7%
C 2
 
7.7%
Ⅰ 1
 
3.8%
K 1
 
3.8%
B 1
 
3.8%
N 1
 
3.8%
Other values (8) 8
30.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1887
69.2%
ASCII 828
30.4%
None 6
 
0.2%
Punctuation 3
 
0.1%
Number Forms 2
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
364
44.0%
0 107
 
12.9%
2 63
 
7.6%
. 54
 
6.5%
8 48
 
5.8%
_ 36
 
4.3%
1 21
 
2.5%
( 18
 
2.2%
) 18
 
2.2%
3 16
 
1.9%
Other values (27) 83
 
10.0%
Hangul
ValueCountFrequency (%)
의 50
 
2.6%
대 44
 
2.3%
학 43
 
2.3%
관 41
 
2.2%
사 40
 
2.1%
정 39
 
2.1%
계 37
 
2.0%
교 34
 
1.8%
법 33
 
1.7%
자 32
 
1.7%
Other values (265) 1494
79.2%
None
ValueCountFrequency (%)
· 4
66.7%
」 1
 
16.7%
「 1
 
16.7%
Punctuation
ValueCountFrequency (%)
… 3
100.0%
Number Forms
ValueCountFrequency (%)
Ⅰ 1
50.0%
Ⅱ 1
50.0%

조회수
Real number (ℝ)

HIGH CORRELATION 

Distinct124
Distinct (%)97.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6637.811
Minimum1
Maximum53724
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2023-12-12T13:09:08.487648image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile39.7
Q14354
median4910
Q37585
95-th percentile15092.8
Maximum53724
Range53723
Interquartile range (IQR)3231

Descriptive statistics

Standard deviation6201.4733
Coefficient of variation (CV)0.93426482
Kurtosis26.100682
Mean6637.811
Median Absolute Deviation (MAD)1094
Skewness3.9516757
Sum843002
Variance38458271
MonotonicityNot monotonic
2023-12-12T13:09:08.665596image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 2
 
1.6%
4819 2
 
1.6%
7 2
 
1.6%
7127 1
 
0.8%
4564 1
 
0.8%
4367 1
 
0.8%
4333 1
 
0.8%
4341 1
 
0.8%
4457 1
 
0.8%
4431 1
 
0.8%
Other values (114) 114
89.8%
ValueCountFrequency (%)
1 2
1.6%
7 2
1.6%
18 1
0.8%
26 1
0.8%
37 1
0.8%
46 1
0.8%
63 1
0.8%
132 1
0.8%
139 1
0.8%
153 1
0.8%
ValueCountFrequency (%)
53724 1
0.8%
26106 1
0.8%
20190 1
0.8%
17191 1
0.8%
16282 1
0.8%
15771 1
0.8%
15349 1
0.8%
14495 1
0.8%
14494 1
0.8%
13712 1
0.8%

작성일자
Categorical

HIGH CORRELATION 

Distinct39
Distinct (%)30.7%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
2008-10-08
13 
2008-10-30
10 
2008-10-29
9 
2008-10-31
8 
2008-08-11
8 
Other values (34)
79 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique18 ?
Unique (%)14.2%

Sample

1st row2008-10-21
2nd row2008-10-29
3rd row2008-10-29
4th row2008-10-29
5th row2008-10-29

Common Values

ValueCountFrequency (%)
2008-10-08 13
 
10.2%
2008-10-30 10
 
7.9%
2008-10-29 9
 
7.1%
2008-10-31 8
 
6.3%
2008-08-11 8
 
6.3%
2008-10-21 7
 
5.5%
2008-11-04 7
 
5.5%
2008-09-01 7
 
5.5%
2008-08-29 5
 
3.9%
2008-11-03 5
 
3.9%
Other values (29) 48
37.8%

Length

2023-12-12T13:09:08.863364image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
2008-10-08 13
 
10.2%
2008-10-30 10
 
7.9%
2008-10-29 9
 
7.1%
2008-10-31 8
 
6.3%
2008-08-11 8
 
6.3%
2008-10-21 7
 
5.5%
2008-11-04 7
 
5.5%
2008-09-01 7
 
5.5%
2008-11-03 5
 
3.9%
2008-09-03 5
 
3.9%
Other values (29) 48
37.8%

Interactions

2023-12-12T13:09:06.768896image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:09:06.535376image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:09:06.903129image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:09:06.646866image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T13:09:08.965908image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
작성연도조회수작성일자
작성연도1.0000.1490.952
조회수0.1491.0000.932
작성일자0.9520.9321.000
2023-12-12T13:09:09.078141image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
작성연도조회수작성일자
작성연도1.000-0.0630.669
조회수-0.0631.0000.619
작성일자0.6690.6191.000

Missing values

2023-12-12T13:09:07.070024image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T13:09:07.199103image/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

작성연도게시글 제목조회수작성일자
02013기타소득만 있는 학생의 유가환급금 신청여부71272008-10-21
12011산학협력의 성과와 과제에 대한 고찰153492008-10-29
22010대학재정확충방안 - 등록금 외 대체재원 중심으로201902008-10-29
32011중국 대학 산학협력 탐방보고서118532008-10-29
42011한양대학교 산학협력단 상해센터 소개132962008-10-29
52011산학협력프로그램 제안137122008-10-29
62010대학혁신과 경쟁력162822008-10-29
72014외국인학교 등의 설립운영에 관한 규정 입법예고18772008-10-29
82016CDP 운영매뉴얼105552008-10-29
92016인력관리계획 참고자료[정부역량사전]110022008-10-29
작성연도게시글 제목조회수작성일자
11720132008 세제개편안48802008-09-01
11820112단계 두뇌한국(BK)21 사업 관리운영에 관한 훈령_2008.08.2944552008-09-02
11920112008년도 우수연구집단육성사업 신규센터 선정발표42222008-09-02
1202010고시 제2008-138호 학교법인임원의인적사항공개등에관한고시46252008-09-03
1212016대법원 2008.6.26. 선고 2007두22252 판결50532008-09-03
1222016대법원 2008.6.26. 선고 2006다30730 판결51972008-09-03
1232016대법원 2008.5.15. 선고 2008다3534 판결50652008-09-03
1242010대법원 2008.2.29. 선고 2007도9755 판결182008-09-03
1252011산업인력양성사업 운영규정45542008-09-04
1262016다면평가운영요령51842008-10-08