Overview

Dataset statistics

Number of variables3
Number of observations121
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory3.1 KiB
Average record size in memory26.1 B

Variable types

Numeric1
Text1
Categorical1

Dataset

Description중소벤처기업부 및 창업진흥원이 운영하는 메이크올 사이트를 통해 메이커 스페이스 공간에 참여, 사용할 수 있는 장비 및 프로그램 등 기타 정보. 카테고리 코드명, 등록일
Author창업진흥원
URLhttps://www.data.go.kr/data/15088078/fileData.do

Alerts

순번 is highly overall correlated with 등록일High correlation
등록일 is highly overall correlated with 순번High correlation
순번 has unique valuesUnique

Reproduction

Analysis started2023-12-12 10:16:19.502231
Analysis finished2023-12-12 10:16:20.043646
Duration0.54 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

순번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct121
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean61
Minimum1
Maximum121
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2023-12-12T19:16:20.156659image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile7
Q131
median61
Q391
95-th percentile115
Maximum121
Range120
Interquartile range (IQR)60

Descriptive statistics

Standard deviation35.073732
Coefficient of variation (CV)0.57497921
Kurtosis-1.2
Mean61
Median Absolute Deviation (MAD)30
Skewness0
Sum7381
Variance1230.1667
MonotonicityStrictly increasing
2023-12-12T19:16:20.359121image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.8%
92 1
 
0.8%
90 1
 
0.8%
89 1
 
0.8%
88 1
 
0.8%
87 1
 
0.8%
86 1
 
0.8%
85 1
 
0.8%
84 1
 
0.8%
83 1
 
0.8%
Other values (111) 111
91.7%
ValueCountFrequency (%)
1 1
0.8%
2 1
0.8%
3 1
0.8%
4 1
0.8%
5 1
0.8%
6 1
0.8%
7 1
0.8%
8 1
0.8%
9 1
0.8%
10 1
0.8%
ValueCountFrequency (%)
121 1
0.8%
120 1
0.8%
119 1
0.8%
118 1
0.8%
117 1
0.8%
116 1
0.8%
115 1
0.8%
114 1
0.8%
113 1
0.8%
112 1
0.8%

코드명
Text

Distinct119
Distinct (%)98.3%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
2023-12-12T19:16:20.746856image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length9
Mean length5.214876
Min length2

Characters and Unicode

Total characters631
Distinct characters232
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique117 ?
Unique (%)96.7%

Sample

1st row장비선택
2nd row제공서비스
3rd row3D프린터
4th row3D스캐너
5th row레이저커터
ValueCountFrequency (%)
위한 5
 
3.4%
함께 3
 
2.1%
용접기 2
 
1.4%
기타 2
 
1.4%
열풍순환건조기 1
 
0.7%
주부를 1
 
0.7%
가죽미싱기 1
 
0.7%
음영칼라프린터 1
 
0.7%
테이블 1
 
0.7%
vr기기 1
 
0.7%
Other values (127) 127
87.6%
2023-12-12T19:16:21.308048image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
기 34
 
5.4%
24
 
3.8%
비 15
 
2.4%
장 14
 
2.2%
터 13
 
2.1%
이 13
 
2.1%
프 12
 
1.9%
스 12
 
1.9%
공 11
 
1.7%
로 9
 
1.4%
Other values (222) 474
75.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 561
88.9%
Uppercase Letter 27
 
4.3%
Space Separator 24
 
3.8%
Other Punctuation 7
 
1.1%
Lowercase Letter 7
 
1.1%
Decimal Number 3
 
0.5%
Close Punctuation 1
 
0.2%
Open Punctuation 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
기 34
 
6.1%
비 15
 
2.7%
장 14
 
2.5%
터 13
 
2.3%
이 13
 
2.3%
프 12
 
2.1%
스 12
 
2.1%
공 11
 
2.0%
로 9
 
1.6%
트 9
 
1.6%
Other values (193) 419
74.7%
Uppercase Letter
ValueCountFrequency (%)
S 3
11.1%
E 3
11.1%
D 3
11.1%
A 2
 
7.4%
T 2
 
7.4%
R 2
 
7.4%
C 2
 
7.4%
V 2
 
7.4%
H 1
 
3.7%
P 1
 
3.7%
Other values (6) 6
22.2%
Lowercase Letter
ValueCountFrequency (%)
o 2
28.6%
l 1
14.3%
t 1
14.3%
a 1
14.3%
h 1
14.3%
e 1
14.3%
Other Punctuation
ValueCountFrequency (%)
/ 4
57.1%
, 2
28.6%
& 1
 
14.3%
Space Separator
ValueCountFrequency (%)
24
100.0%
Decimal Number
ValueCountFrequency (%)
3 3
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 561
88.9%
Common 36
 
5.7%
Latin 34
 
5.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
기 34
 
6.1%
비 15
 
2.7%
장 14
 
2.5%
터 13
 
2.3%
이 13
 
2.3%
프 12
 
2.1%
스 12
 
2.1%
공 11
 
2.0%
로 9
 
1.6%
트 9
 
1.6%
Other values (193) 419
74.7%
Latin
ValueCountFrequency (%)
S 3
 
8.8%
E 3
 
8.8%
D 3
 
8.8%
o 2
 
5.9%
A 2
 
5.9%
T 2
 
5.9%
R 2
 
5.9%
C 2
 
5.9%
V 2
 
5.9%
H 1
 
2.9%
Other values (12) 12
35.3%
Common
ValueCountFrequency (%)
24
66.7%
/ 4
 
11.1%
3 3
 
8.3%
, 2
 
5.6%
& 1
 
2.8%
) 1
 
2.8%
( 1
 
2.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 561
88.9%
ASCII 70
 
11.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
기 34
 
6.1%
비 15
 
2.7%
장 14
 
2.5%
터 13
 
2.3%
이 13
 
2.3%
프 12
 
2.1%
스 12
 
2.1%
공 11
 
2.0%
로 9
 
1.6%
트 9
 
1.6%
Other values (193) 419
74.7%
ASCII
ValueCountFrequency (%)
24
34.3%
/ 4
 
5.7%
S 3
 
4.3%
E 3
 
4.3%
3 3
 
4.3%
D 3
 
4.3%
o 2
 
2.9%
A 2
 
2.9%
T 2
 
2.9%
R 2
 
2.9%
Other values (19) 22
31.4%

등록일
Categorical

HIGH CORRELATION 

Distinct12
Distinct (%)9.9%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
2017-12-26
57 
2018-10-10
13 
2018-10-17
12 
2018-10-11
12 
2018-10-15
9 
Other values (7)
18 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique4 ?
Unique (%)3.3%

Sample

1st row2017-12-26
2nd row2017-12-26
3rd row2018-03-16
4th row2017-12-26
5th row2017-12-26

Common Values

ValueCountFrequency (%)
2017-12-26 57
47.1%
2018-10-10 13
 
10.7%
2018-10-17 12
 
9.9%
2018-10-11 12
 
9.9%
2018-10-15 9
 
7.4%
2018-10-13 6
 
5.0%
2017-12-27 5
 
4.1%
2018-10-12 3
 
2.5%
2018-03-16 1
 
0.8%
2018-10-16 1
 
0.8%
Other values (2) 2
 
1.7%

Length

2023-12-12T19:16:21.512290image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
2017-12-26 57
47.1%
2018-10-10 13
 
10.7%
2018-10-17 12
 
9.9%
2018-10-11 12
 
9.9%
2018-10-15 9
 
7.4%
2018-10-13 6
 
5.0%
2017-12-27 5
 
4.1%
2018-10-12 3
 
2.5%
2018-03-16 1
 
0.8%
2018-10-16 1
 
0.8%
Other values (2) 2
 
1.7%

Interactions

2023-12-12T19:16:19.747068image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T19:16:21.635697image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번등록일
순번1.0000.857
등록일0.8571.000
2023-12-12T19:16:21.731631image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번등록일
순번1.0000.581
등록일0.5811.000

Missing values

2023-12-12T19:16:19.906512image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T19:16:20.009119image/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

순번코드명등록일
01장비선택2017-12-26
12제공서비스2017-12-26
233D프린터2018-03-16
343D스캐너2017-12-26
45레이저커터2017-12-26
56CNC2017-12-26
673D펜2017-12-26
78테이블쏘2017-12-26
89비닐커터2017-12-26
910플로터2017-12-26
순번코드명등록일
111112벨트샌더2018-10-17
112113코팅기2018-10-17
113114워크스테이션2018-10-17
114115이동형 카고2018-10-17
115116드릴링머신2018-10-17
116117열풍순환건조기2018-10-17
117118레이저마킹기2018-10-17
118119용접기2018-10-17
119120장비사용목적2018-11-26
120121기타2019-01-02