Overview

Dataset statistics

Number of variables3
Number of observations36
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.0 KiB
Average record size in memory28.7 B

Variable types

DateTime1
Text1
Numeric1

Dataset

DescriptionAPEC 21개 회원국과 구축된 네트워크를 기반으로 우리 기관 및 중소기업의 글로벌화 지원 및 산업협력기회 창출목적으로 구축된 APEC 중소기업혁신센터 홈페이지의 News Room 게시판 등록 자료 정보
Author중소벤처기업진흥공단
URLhttps://www.data.go.kr/data/15071263/fileData.do

Alerts

제목 has unique valuesUnique

Reproduction

Analysis started2023-12-12 16:14:11.788209
Analysis finished2023-12-12 16:14:12.132244
Duration0.34 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

등록일
Date

Distinct29
Distinct (%)80.6%
Missing0
Missing (%)0.0%
Memory size420.0 B
Minimum2011-05-02 00:00:00
Maximum2021-12-14 00:00:00
2023-12-13T01:14:12.225787image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T01:14:12.374790image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)

제목
Text

UNIQUE 

Distinct36
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size420.0 B
2023-12-13T01:14:12.695043image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length88
Median length60.5
Mean length54.027778
Min length27

Characters and Unicode

Total characters1945
Distinct characters66
Distinct categories8 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique36 ?
Unique (%)100.0%

Sample

1st row2021 APEC Workshop on BCP with Crisis Management for SMEs_Slavik Dimitrovich
2nd row2020 APEC SME Cyber Security Forum_Matthew Glitzer_PRESENTATION
3rd row2020 APEC SME Cyber Security Forum_Tony Low_PRESENTATION
4th rowThe 50th APEC SMEWG Meeting_Presentation material of Republic of Korea
5th rowThe 50th APEC SMEWG Meeting
ValueCountFrequency (%)
apec 25
 
8.5%
in 17
 
5.8%
sme 11
 
3.8%
innovation 11
 
3.8%
the 9
 
3.1%
held 8
 
2.7%
consulting 7
 
2.4%
meeting 6
 
2.0%
indonesia 5
 
1.7%
on 5
 
1.7%
Other values (139) 189
64.5%
2023-12-13T01:14:13.204624image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
263
 
13.5%
e 150
 
7.7%
n 148
 
7.6%
i 120
 
6.2%
t 103
 
5.3%
o 102
 
5.2%
a 94
 
4.8%
s 77
 
4.0%
r 77
 
4.0%
E 58
 
3.0%
Other values (56) 753
38.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 1203
61.9%
Uppercase Letter 397
 
20.4%
Space Separator 263
 
13.5%
Decimal Number 60
 
3.1%
Connector Punctuation 11
 
0.6%
Dash Punctuation 6
 
0.3%
Other Punctuation 4
 
0.2%
Final Punctuation 1
 
0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 150
12.5%
n 148
12.3%
i 120
10.0%
t 103
8.6%
o 102
8.5%
a 94
 
7.8%
s 77
 
6.4%
r 77
 
6.4%
u 50
 
4.2%
l 45
 
3.7%
Other values (15) 237
19.7%
Uppercase Letter
ValueCountFrequency (%)
E 58
14.6%
C 53
13.4%
S 42
10.6%
M 39
9.8%
P 36
9.1%
A 35
8.8%
I 26
 
6.5%
T 16
 
4.0%
B 11
 
2.8%
N 11
 
2.8%
Other values (14) 70
17.6%
Decimal Number
ValueCountFrequency (%)
1 15
25.0%
2 15
25.0%
0 14
23.3%
9 7
11.7%
5 3
 
5.0%
8 2
 
3.3%
4 1
 
1.7%
6 1
 
1.7%
3 1
 
1.7%
7 1
 
1.7%
Other Punctuation
ValueCountFrequency (%)
. 2
50.0%
: 1
25.0%
& 1
25.0%
Space Separator
ValueCountFrequency (%)
263
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 11
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 6
100.0%
Final Punctuation
ValueCountFrequency (%)
’ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 1600
82.3%
Common 345
 
17.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 150
 
9.4%
n 148
 
9.2%
i 120
 
7.5%
t 103
 
6.4%
o 102
 
6.4%
a 94
 
5.9%
s 77
 
4.8%
r 77
 
4.8%
E 58
 
3.6%
C 53
 
3.3%
Other values (39) 618
38.6%
Common
ValueCountFrequency (%)
263
76.2%
1 15
 
4.3%
2 15
 
4.3%
0 14
 
4.1%
_ 11
 
3.2%
9 7
 
2.0%
- 6
 
1.7%
5 3
 
0.9%
8 2
 
0.6%
. 2
 
0.6%
Other values (7) 7
 
2.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1944
99.9%
Punctuation 1
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
263
 
13.5%
e 150
 
7.7%
n 148
 
7.6%
i 120
 
6.2%
t 103
 
5.3%
o 102
 
5.2%
a 94
 
4.8%
s 77
 
4.0%
r 77
 
4.0%
E 58
 
3.0%
Other values (55) 752
38.7%
Punctuation
ValueCountFrequency (%)
’ 1
100.0%

조회수
Real number (ℝ)

Distinct35
Distinct (%)97.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7664.6944
Minimum449
Maximum46810
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size456.0 B
2023-12-13T01:14:13.371787image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum449
5-th percentile918.5
Q11395
median4542
Q38343.25
95-th percentile23635.25
Maximum46810
Range46361
Interquartile range (IQR)6948.25

Descriptive statistics

Standard deviation9646.6419
Coefficient of variation (CV)1.2585814
Kurtosis6.8289217
Mean7664.6944
Median Absolute Deviation (MAD)3367.5
Skewness2.3587908
Sum275929
Variance93057700
MonotonicityNot monotonic
2023-12-13T01:14:13.528490image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=35)
ValueCountFrequency (%)
970 2
 
5.6%
8656 1
 
2.8%
3472 1
 
2.8%
2252 1
 
2.8%
1555 1
 
2.8%
1887 1
 
2.8%
8239 1
 
2.8%
449 1
 
2.8%
1037 1
 
2.8%
1092 1
 
2.8%
Other values (25) 25
69.4%
ValueCountFrequency (%)
449 1
2.8%
764 1
2.8%
970 2
5.6%
974 1
2.8%
1037 1
2.8%
1073 1
2.8%
1092 1
2.8%
1257 1
2.8%
1441 1
2.8%
1527 1
2.8%
ValueCountFrequency (%)
46810 1
2.8%
24470 1
2.8%
23357 1
2.8%
20851 1
2.8%
19245 1
2.8%
17539 1
2.8%
16594 1
2.8%
12212 1
2.8%
8656 1
2.8%
8239 1
2.8%

Interactions

2023-12-13T01:14:11.913907image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T01:14:13.623433image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
등록일제목조회수
등록일1.0001.0000.927
제목1.0001.0001.000
조회수0.9271.0001.000

Missing values

2023-12-13T01:14:12.009253image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T01:14:12.095114image/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

등록일제목조회수
02021-12-142021 APEC Workshop on BCP with Crisis Management for SMEs_Slavik Dimitrovich1092
12021-04-262020 APEC SME Cyber Security Forum_Matthew Glitzer_PRESENTATION8656
22021-04-262020 APEC SME Cyber Security Forum_Tony Low_PRESENTATION6245
32020-11-05The 50th APEC SMEWG Meeting_Presentation material of Republic of Korea6226
42020-11-05The 50th APEC SMEWG Meeting5825
52020-04-23Tackiling COVID-19 Health_ Quarantine and Economic Measures : Korean Experience4528
62020-04-23SMEWG COVID 19 Measures - Consolidated4556
72020-03-24ASEAN-ROK Startup Expo_ Come up 20195181
82019-12-042019 APEC SME Big Data & AI Forum12212
92018-11-282018 APEC Young Entrepreneurs Networking Program6950
등록일제목조회수
262012-06-20APEC SME Start-up Conference Opened on Tuesday1037
272012-05-31APEC SME Start-up Conference 2012970
282012-04-06APEC SME Innovation Center completes 1st round of consulting programs in Malaysia.764
292011-12-26APEC Green Initiative Workshop in Thailand1696
302011-11-28The 6th East Asia Roundtable Meeting Held in Tokyo_ Japan1441
312011-09-29Innovation Consulting for Peruvian SMEs970
322011-08-22APEC SMEIC Completes Innovation Consulting in Indonesia1257
332011-06-08The 18th APEC SME Ministerial Meeting in Montana1073
342011-06-03Korean Delegation Visits the US to Explore Areas of New Growth974
352011-05-02Conference to Discuss Innovation as Growth Driver1527