Overview

Dataset statistics

Number of variables3
Number of observations1695
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory41.5 KiB
Average record size in memory25.1 B

Variable types

Numeric1
Text1
DateTime1

Dataset

Description중소벤처기업부 및 창업진흥원이 운영하는 메이크올 사이트에 등록된 메이커 장비 및 메이커 프로그램, 공간 등을 활용할 수 있도록 안내해주는 메뉴얼 등록 정보. 메뉴얼 제목, 등록일
Author창업진흥원
URLhttps://www.data.go.kr/data/15088079/fileData.do

Alerts

순번 has unique valuesUnique

Reproduction

Analysis started2023-12-12 09:15:20.113868
Analysis finished2023-12-12 09:15:20.873677
Duration0.76 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

순번
Real number (ℝ)

UNIQUE 

Distinct1695
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean848
Minimum1
Maximum1695
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.0 KiB
2023-12-12T18:15:20.955266image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile85.7
Q1424.5
median848
Q31271.5
95-th percentile1610.3
Maximum1695
Range1694
Interquartile range (IQR)847

Descriptive statistics

Standard deviation489.44867
Coefficient of variation (CV)0.57718003
Kurtosis-1.2
Mean848
Median Absolute Deviation (MAD)424
Skewness0
Sum1437360
Variance239560
MonotonicityStrictly increasing
2023-12-12T18:15:21.116707image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.1%
1140 1
 
0.1%
1138 1
 
0.1%
1137 1
 
0.1%
1136 1
 
0.1%
1135 1
 
0.1%
1134 1
 
0.1%
1133 1
 
0.1%
1132 1
 
0.1%
1131 1
 
0.1%
Other values (1685) 1685
99.4%
ValueCountFrequency (%)
1 1
0.1%
2 1
0.1%
3 1
0.1%
4 1
0.1%
5 1
0.1%
6 1
0.1%
7 1
0.1%
8 1
0.1%
9 1
0.1%
10 1
0.1%
ValueCountFrequency (%)
1695 1
0.1%
1694 1
0.1%
1693 1
0.1%
1692 1
0.1%
1691 1
0.1%
1690 1
0.1%
1689 1
0.1%
1688 1
0.1%
1687 1
0.1%
1686 1
0.1%

제목
Text

Distinct1683
Distinct (%)99.3%
Missing0
Missing (%)0.0%
Memory size13.4 KiB
2023-12-12T18:15:21.500461image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length137
Median length56
Mean length22.853097
Min length1

Characters and Unicode

Total characters38736
Distinct characters878
Distinct categories15 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1672 ?
Unique (%)98.6%

Sample

1st rowTOY CAR CONTROLLED BY WIFI
2nd row박수소리로 ON/OFF 하자!
3rd row1.처음 접하는 아두이노
4th row2.처음 만드는 아두이노 프로그래밍
5th row3.LED와 버튼 제어하기
ValueCountFrequency (%)
만들기 392
 
4.4%
245
 
2.7%
램프 98
 
1.1%
뜨개질 83
 
0.9%
아두이노 83
 
0.9%
팔찌 81
 
0.9%
바바제이-비즈공예 80
 
0.9%
led 76
 
0.8%
diy 70
 
0.8%
3d 69
 
0.8%
Other values (3791) 7701
85.8%
2023-12-12T18:15:22.116753image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
7397
 
19.1%
이 1070
 
2.8%
기 1018
 
2.6%
만 751
 
1.9%
들 651
 
1.7%
[ 531
 
1.4%
] 529
 
1.4%
스 496
 
1.3%
로 449
 
1.2%
D 392
 
1.0%
Other values (868) 25452
65.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 24179
62.4%
Space Separator 7397
 
19.1%
Lowercase Letter 2094
 
5.4%
Uppercase Letter 2047
 
5.3%
Decimal Number 828
 
2.1%
Open Punctuation 650
 
1.7%
Close Punctuation 648
 
1.7%
Other Punctuation 490
 
1.3%
Dash Punctuation 317
 
0.8%
Connector Punctuation 44
 
0.1%
Other values (5) 42
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 1070
 
4.4%
기 1018
 
4.2%
만 751
 
3.1%
들 651
 
2.7%
스 496
 
2.1%
로 449
 
1.9%
리 383
 
1.6%
트 379
 
1.6%
프 333
 
1.4%
드 333
 
1.4%
Other values (780) 18316
75.8%
Uppercase Letter
ValueCountFrequency (%)
D 392
19.1%
R 154
 
7.5%
E 153
 
7.5%
I 148
 
7.2%
L 144
 
7.0%
A 105
 
5.1%
C 102
 
5.0%
T 95
 
4.6%
Y 85
 
4.2%
M 80
 
3.9%
Other values (16) 589
28.8%
Lowercase Letter
ValueCountFrequency (%)
e 262
12.5%
i 218
10.4%
o 202
 
9.6%
n 157
 
7.5%
a 154
 
7.4%
t 147
 
7.0%
r 146
 
7.0%
d 108
 
5.2%
s 92
 
4.4%
l 77
 
3.7%
Other values (15) 531
25.4%
Decimal Number
ValueCountFrequency (%)
3 218
26.3%
1 153
18.5%
2 130
15.7%
0 101
12.2%
5 61
 
7.4%
4 59
 
7.1%
8 36
 
4.3%
6 28
 
3.4%
7 24
 
2.9%
9 18
 
2.2%
Other Punctuation
ValueCountFrequency (%)
. 150
30.6%
: 121
24.7%
, 78
15.9%
! 68
13.9%
/ 54
 
11.0%
' 15
 
3.1%
" 2
 
0.4%
% 1
 
0.2%
* 1
 
0.2%
Math Symbol
ValueCountFrequency (%)
~ 14
60.9%
| 5
 
21.7%
< 2
 
8.7%
> 2
 
8.7%
Open Punctuation
ValueCountFrequency (%)
[ 531
81.7%
( 119
 
18.3%
Close Punctuation
ValueCountFrequency (%)
] 529
81.6%
) 119
 
18.4%
Modifier Symbol
ValueCountFrequency (%)
` 5
83.3%
^ 1
 
16.7%
Final Punctuation
ValueCountFrequency (%)
’ 3
60.0%
” 2
40.0%
Initial Punctuation
ValueCountFrequency (%)
‘ 3
75.0%
“ 1
 
25.0%
Space Separator
ValueCountFrequency (%)
7397
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 317
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 44
100.0%
Currency Symbol
ValueCountFrequency (%)
$ 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 24179
62.4%
Common 10416
26.9%
Latin 4141
 
10.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
이 1070
 
4.4%
기 1018
 
4.2%
만 751
 
3.1%
들 651
 
2.7%
스 496
 
2.1%
로 449
 
1.9%
리 383
 
1.6%
트 379
 
1.6%
프 333
 
1.4%
드 333
 
1.4%
Other values (780) 18316
75.8%
Latin
ValueCountFrequency (%)
D 392
 
9.5%
e 262
 
6.3%
i 218
 
5.3%
o 202
 
4.9%
n 157
 
3.8%
a 154
 
3.7%
R 154
 
3.7%
E 153
 
3.7%
I 148
 
3.6%
t 147
 
3.5%
Other values (41) 2154
52.0%
Common
ValueCountFrequency (%)
7397
71.0%
[ 531
 
5.1%
] 529
 
5.1%
- 317
 
3.0%
3 218
 
2.1%
1 153
 
1.5%
. 150
 
1.4%
2 130
 
1.2%
: 121
 
1.2%
( 119
 
1.1%
Other values (27) 751
 
7.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 24179
62.4%
ASCII 14548
37.6%
Punctuation 9
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
7397
50.8%
[ 531
 
3.6%
] 529
 
3.6%
D 392
 
2.7%
- 317
 
2.2%
e 262
 
1.8%
3 218
 
1.5%
i 218
 
1.5%
o 202
 
1.4%
n 157
 
1.1%
Other values (74) 4325
29.7%
Hangul
ValueCountFrequency (%)
이 1070
 
4.4%
기 1018
 
4.2%
만 751
 
3.1%
들 651
 
2.7%
스 496
 
2.1%
로 449
 
1.9%
리 383
 
1.6%
트 379
 
1.6%
프 333
 
1.4%
드 333
 
1.4%
Other values (780) 18316
75.8%
Punctuation
ValueCountFrequency (%)
’ 3
33.3%
‘ 3
33.3%
” 2
22.2%
“ 1
 
11.1%

등록일
Date

Distinct270
Distinct (%)15.9%
Missing0
Missing (%)0.0%
Memory size13.4 KiB
Minimum1904-01-06 00:00:00
Maximum2020-10-22 00:00:00
2023-12-12T18:15:22.307943image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:15:22.509916image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

Interactions

2023-12-12T18:15:20.549556image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Missing values

2023-12-12T18:15:20.725090image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T18:15:20.837797image/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

순번제목등록일
01TOY CAR CONTROLLED BY WIFI2015-07-11
12박수소리로 ON/OFF 하자!2015-07-22
231.처음 접하는 아두이노2015-07-28
342.처음 만드는 아두이노 프로그래밍2015-07-28
453.LED와 버튼 제어하기2015-07-28
564.삼색 LED 사용하기2015-07-28
675.피에조 스피커 사용하기2015-07-28
786.조도센서 사용하기2015-07-28
897.초음파센서 사용하기2015-07-28
9108.LCD패널 사용하기2015-07-28
순번제목등록일
16851686빠른 귀가를 돕는 포차 게임2020-02-25
16861687행 아웃 게임2020-02-25
16871688상어게임2020-02-25
16881689약판기 게임2020-02-25
16891690아두이노 숫자야구 게임2020-02-25
16901691블링펜2020-02-25
16911692포켓몬 모빌2020-02-25
16921693인공지능 빅데이터 크롤링2020-03-03
16931694센토 요한 저금통(그릇 별도)2020-04-29
16941695ottopus2020-10-22