Overview

Dataset statistics

Number of variables3
Number of observations997
Missing cells0
Missing cells (%)0.0%
Duplicate rows1
Duplicate rows (%)0.1%
Total size in memory24.5 KiB
Average record size in memory25.1 B

Variable types

Text1
DateTime1
Numeric1

Dataset

Description중소벤처기업부 및 창업진흥원이 운영하는 메이크올 사이트에 등록되어 있고 이용자들이 메이커소식을 확인할 수 있는 메이커 소식 정보. 메이커 소식 제목, 등록일
Author창업진흥원
URLhttps://www.data.go.kr/data/15088119/fileData.do

Alerts

Dataset has 1 (0.1%) duplicate rowsDuplicates

Reproduction

Analysis started2023-12-12 13:21:19.816650
Analysis finished2023-12-12 13:21:20.390744
Duration0.57 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

제목
Text

Distinct892
Distinct (%)89.5%
Missing0
Missing (%)0.0%
Memory size7.9 KiB
2023-12-12T22:21:20.704730image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length71
Median length47
Mean length26.315948
Min length2

Characters and Unicode

Total characters26237
Distinct characters652
Distinct categories10 ?
Distinct scripts4 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique841 ?
Unique (%)84.4%

Sample

1st rowLet s MAKE 포럼 제 4회 자료집
2nd rowLet s MAKE 포럼 제 5회 자료집
3rd rowLet s MAKE 포럼 제 1회 자료집
4th rowLet s MAKE 포럼 제 2회 자료집
5th rowLet s MAKE 포럼 제 3회 자료집
ValueCountFrequency (%)
메이커 238
 
4.1%
모집 117
 
2.0%
교육생 105
 
1.8%
만들기 77
 
1.3%
교육 75
 
1.3%
찾아가는 58
 
1.0%
56
 
1.0%
제작 51
 
0.9%
2017 50
 
0.9%
메이커스튜디오x무한상상실 50
 
0.9%
Other values (2037) 4895
84.8%
2023-12-12T22:21:21.266486image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5544
 
21.1%
이 852
 
3.2%
커 519
 
2.0%
메 515
 
2.0%
스 437
 
1.7%
교 386
 
1.5%
기 310
 
1.2%
육 291
 
1.1%
2 291
 
1.1%
1 282
 
1.1%
Other values (642) 16810
64.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 17209
65.6%
Space Separator 5544
 
21.1%
Decimal Number 1290
 
4.9%
Lowercase Letter 998
 
3.8%
Uppercase Letter 808
 
3.1%
Other Punctuation 187
 
0.7%
Dash Punctuation 100
 
0.4%
Connector Punctuation 99
 
0.4%
Modifier Symbol 1
 
< 0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 852
 
5.0%
커 519
 
3.0%
메 515
 
3.0%
스 437
 
2.5%
교 386
 
2.2%
기 310
 
1.8%
육 291
 
1.7%
모 236
 
1.4%
상 231
 
1.3%
한 198
 
1.2%
Other values (575) 13234
76.9%
Lowercase Letter
ValueCountFrequency (%)
e 142
14.2%
t 120
12.0%
a 112
11.2%
o 67
 
6.7%
x 67
 
6.7%
r 66
 
6.6%
s 65
 
6.5%
m 53
 
5.3%
i 44
 
4.4%
n 36
 
3.6%
Other values (15) 226
22.6%
Uppercase Letter
ValueCountFrequency (%)
D 125
15.5%
A 80
 
9.9%
M 61
 
7.5%
E 52
 
6.4%
C 50
 
6.2%
R 47
 
5.8%
I 45
 
5.6%
T 44
 
5.4%
L 43
 
5.3%
Y 36
 
4.5%
Other values (14) 225
27.8%
Decimal Number
ValueCountFrequency (%)
2 291
22.6%
1 282
21.9%
0 255
19.8%
3 155
12.0%
7 81
 
6.3%
9 55
 
4.3%
8 51
 
4.0%
4 49
 
3.8%
6 40
 
3.1%
5 31
 
2.4%
Other Punctuation
ValueCountFrequency (%)
. 117
62.6%
, 67
35.8%
: 3
 
1.6%
Space Separator
ValueCountFrequency (%)
5544
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 100
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 99
100.0%
Modifier Symbol
ValueCountFrequency (%)
` 1
100.0%
Math Symbol
ValueCountFrequency (%)
= 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 17207
65.6%
Common 7222
27.5%
Latin 1806
 
6.9%
Han 2
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
이 852
 
5.0%
커 519
 
3.0%
메 515
 
3.0%
스 437
 
2.5%
교 386
 
2.2%
기 310
 
1.8%
육 291
 
1.7%
모 236
 
1.4%
상 231
 
1.3%
한 198
 
1.2%
Other values (573) 13232
76.9%
Latin
ValueCountFrequency (%)
e 142
 
7.9%
D 125
 
6.9%
t 120
 
6.6%
a 112
 
6.2%
A 80
 
4.4%
o 67
 
3.7%
x 67
 
3.7%
r 66
 
3.7%
s 65
 
3.6%
M 61
 
3.4%
Other values (39) 901
49.9%
Common
ValueCountFrequency (%)
5544
76.8%
2 291
 
4.0%
1 282
 
3.9%
0 255
 
3.5%
3 155
 
2.1%
. 117
 
1.6%
- 100
 
1.4%
_ 99
 
1.4%
7 81
 
1.1%
, 67
 
0.9%
Other values (8) 231
 
3.2%
Han
ValueCountFrequency (%)
中 1
50.0%
韓 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 17207
65.6%
ASCII 9028
34.4%
CJK 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5544
61.4%
2 291
 
3.2%
1 282
 
3.1%
0 255
 
2.8%
3 155
 
1.7%
e 142
 
1.6%
D 125
 
1.4%
t 120
 
1.3%
. 117
 
1.3%
a 112
 
1.2%
Other values (57) 1885
 
20.9%
Hangul
ValueCountFrequency (%)
이 852
 
5.0%
커 519
 
3.0%
메 515
 
3.0%
스 437
 
2.5%
교 386
 
2.2%
기 310
 
1.8%
육 291
 
1.7%
모 236
 
1.4%
상 231
 
1.3%
한 198
 
1.2%
Other values (573) 13232
76.9%
CJK
ValueCountFrequency (%)
中 1
50.0%
韓 1
50.0%

등록일
Date

Distinct425
Distinct (%)42.6%
Missing0
Missing (%)0.0%
Memory size7.9 KiB
Minimum2015-07-30 00:00:00
Maximum2020-12-28 00:00:00
2023-12-12T22:21:21.409945image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:21:21.538270image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

조회수
Real number (ℝ)

Distinct720
Distinct (%)72.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1076.0953
Minimum46
Maximum13681
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.9 KiB
2023-12-12T22:21:21.686101image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum46
5-th percentile366.6
Q1489
median738
Q31295
95-th percentile2622.6
Maximum13681
Range13635
Interquartile range (IQR)806

Descriptive statistics

Standard deviation1032.9296
Coefficient of variation (CV)0.95988673
Kurtosis33.88
Mean1076.0953
Median Absolute Deviation (MAD)307
Skewness4.4068291
Sum1072867
Variance1066943.5
MonotonicityNot monotonic
2023-12-12T22:21:21.824106image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
454 6
 
0.6%
394 5
 
0.5%
435 5
 
0.5%
710 4
 
0.4%
674 4
 
0.4%
561 4
 
0.4%
1463 4
 
0.4%
431 4
 
0.4%
414 4
 
0.4%
410 4
 
0.4%
Other values (710) 953
95.6%
ValueCountFrequency (%)
46 1
0.1%
47 1
0.1%
60 1
0.1%
69 1
0.1%
79 1
0.1%
80 1
0.1%
85 1
0.1%
92 1
0.1%
96 1
0.1%
102 1
0.1%
ValueCountFrequency (%)
13681 1
0.1%
9857 1
0.1%
8489 1
0.1%
6622 1
0.1%
6599 1
0.1%
6392 1
0.1%
6351 1
0.1%
5416 1
0.1%
5375 1
0.1%
5119 1
0.1%

Interactions

2023-12-12T22:21:20.147752image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Missing values

2023-12-12T22:21:20.275999image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T22:21:20.361038image/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

제목등록일조회수
0Let s MAKE 포럼 제 4회 자료집2018-01-021063
1Let s MAKE 포럼 제 5회 자료집2018-01-021113
2Let s MAKE 포럼 제 1회 자료집2018-01-021129
3Let s MAKE 포럼 제 2회 자료집2018-01-021036
4Let s MAKE 포럼 제 3회 자료집2018-01-021013
5Let s MAKE 포럼 제 6회 자료집2018-01-021085
62015 한중창업협력 컨퍼런스 표지 및 자료집 파일2018-01-021117
7메이커_운동 Maker_Movement _활성화_방안2018-01-021226
8Let`s Make 글로벌 포럼 자료_개요2018-01-021111
9메이커운동 활성화 추진계획 자료2018-01-021516
제목등록일조회수
987느티나무도서관 후원자 명패를 만들었습니다.2020-11-27189
9882020년 안산 메이커 창업 페스티벌 _ 메이커 창업을 시작하는 이들에게2020-12-22211
9892020 안산 메이커 창업 페스티벌_ 우리는 모두 MAKER입니다.2020-12-21267
990수원시지속가능도시재단 2020년도 제7회 직원 채용공고 메이커스페이스 운영 인력 채용2020-12-11474
9912020 안산 메이커 창업 페스티벌_ 현장스케치2020-12-22314
9922020 안산 메이커 창업 페스티벌 _ 데모데이 우수팀2020-12-22523
9932020 안산 메이커 창업 페스티벌_데모데이 전시팀 소개2020-12-22561
994수원시 메이커스페이스 운영관리자 채용계획 공고2020-12-24584
9952020 안산 메이커 창업 페스티벌 현장 스케치 영상2020-12-28707
9962020 안산 메이커 창업 페스티벌 수상팀 인터뷰 영상2020-12-28844

Duplicate rows

Most frequently occurring

제목등록일조회수# duplicates
0오픈프로젝트 게시판 이용 안내2017-02-014542