Overview

Dataset statistics

Number of variables14
Number of observations27
Missing cells108
Missing cells (%)28.6%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory3.2 KiB
Average record size in memory122.9 B

Variable types

Categorical6
Text2
Boolean1
DateTime1
Unsupported4

Dataset

Description인천광역시 글로벌 스케일업 캠퍼스 지원에 대한 린스타트업 제작소 운영현황(장비명,대여가능여부,대여료 등)정보입니다
Author인천광역시
URLhttps://data.incheon.go.kr/findData/publicDataDetail?dataId=15038514&srcSe=7661IVAWM27C61E190

Alerts

대여료 has constant value ""Constant
이용안내 has constant value ""Constant
데이터기준일자 has constant value ""Constant
리스트페이지URL has constant value ""Constant
보유수량 is highly imbalanced (77.1%)Imbalance
Unnamed: 10 has 27 (100.0%) missing valuesMissing
Unnamed: 11 has 27 (100.0%) missing valuesMissing
Unnamed: 12 has 27 (100.0%) missing valuesMissing
Unnamed: 13 has 27 (100.0%) missing valuesMissing
장비명 has unique valuesUnique
사양 has unique valuesUnique
Unnamed: 10 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 11 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 12 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 13 is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2024-01-28 06:48:46.150045
Analysis finished2024-01-28 06:48:46.884626
Duration0.73 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

분류
Categorical

Distinct2
Distinct (%)7.4%
Missing0
Missing (%)0.0%
Memory size348.0 B
디자인랩
16 
디지털랩
11 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row디지털랩
2nd row디지털랩
3rd row디지털랩
4th row디지털랩
5th row디지털랩

Common Values

ValueCountFrequency (%)
디자인랩 16
59.3%
디지털랩 11
40.7%

Length

2024-01-28T15:48:46.933674image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-28T15:48:47.009046image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
디자인랩 16
59.3%
디지털랩 11
40.7%

장비명
Text

UNIQUE 

Distinct27
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size348.0 B
2024-01-28T15:48:47.150804image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length12
Mean length8.5925926
Min length4

Characters and Unicode

Total characters232
Distinct characters89
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique27 ?
Unique (%)100.0%

Sample

1st row3D 프린터 (CUBICON)
2nd row3D 프린터 (CUBE PRO)
3rd row3D 스캐너
4th row레이저커팅기 (대형)
5th row레이저커팅기 (소형)
ValueCountFrequency (%)
소형 4
 
7.5%
3d 3
 
5.7%
프린터 3
 
5.7%
cnc 3
 
5.7%
레이저커팅기 2
 
3.8%
부스 1
 
1.9%
인두기 1
 
1.9%
밴드쏘(대형 1
 
1.9%
스크롤 1
 
1.9%
쏘 1
 
1.9%
Other values (33) 33
62.3%
2024-01-28T15:48:47.405345image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
26
 
11.2%
기 11
 
4.7%
형 10
 
4.3%
( 9
 
3.9%
C 9
 
3.9%
) 9
 
3.9%
터 8
 
3.4%
프 6
 
2.6%
소 6
 
2.6%
라 5
 
2.2%
Other values (79) 133
57.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 156
67.2%
Uppercase Letter 28
 
12.1%
Space Separator 26
 
11.2%
Open Punctuation 9
 
3.9%
Close Punctuation 9
 
3.9%
Decimal Number 4
 
1.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
기 11
 
7.1%
형 10
 
6.4%
터 8
 
5.1%
프 6
 
3.8%
소 6
 
3.8%
라 5
 
3.2%
스 5
 
3.2%
이 5
 
3.2%
쏘 4
 
2.6%
우 4
 
2.6%
Other values (64) 92
59.0%
Uppercase Letter
ValueCountFrequency (%)
C 9
32.1%
N 4
14.3%
U 3
 
10.7%
D 3
 
10.7%
B 2
 
7.1%
O 2
 
7.1%
R 1
 
3.6%
P 1
 
3.6%
E 1
 
3.6%
I 1
 
3.6%
Space Separator
ValueCountFrequency (%)
26
100.0%
Open Punctuation
ValueCountFrequency (%)
( 9
100.0%
Close Punctuation
ValueCountFrequency (%)
) 9
100.0%
Decimal Number
ValueCountFrequency (%)
3 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 156
67.2%
Common 48
 
20.7%
Latin 28
 
12.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
기 11
 
7.1%
형 10
 
6.4%
터 8
 
5.1%
프 6
 
3.8%
소 6
 
3.8%
라 5
 
3.2%
스 5
 
3.2%
이 5
 
3.2%
쏘 4
 
2.6%
우 4
 
2.6%
Other values (64) 92
59.0%
Latin
ValueCountFrequency (%)
C 9
32.1%
N 4
14.3%
U 3
 
10.7%
D 3
 
10.7%
B 2
 
7.1%
O 2
 
7.1%
R 1
 
3.6%
P 1
 
3.6%
E 1
 
3.6%
I 1
 
3.6%
Common
ValueCountFrequency (%)
26
54.2%
( 9
 
18.8%
) 9
 
18.8%
3 4
 
8.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 156
67.2%
ASCII 76
32.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
26
34.2%
( 9
 
11.8%
C 9
 
11.8%
) 9
 
11.8%
3 4
 
5.3%
N 4
 
5.3%
U 3
 
3.9%
D 3
 
3.9%
B 2
 
2.6%
O 2
 
2.6%
Other values (5) 5
 
6.6%
Hangul
ValueCountFrequency (%)
기 11
 
7.1%
형 10
 
6.4%
터 8
 
5.1%
프 6
 
3.8%
소 6
 
3.8%
라 5
 
3.2%
스 5
 
3.2%
이 5
 
3.2%
쏘 4
 
2.6%
우 4
 
2.6%
Other values (64) 92
59.0%

대여가능여부
Boolean

Distinct2
Distinct (%)7.4%
Missing0
Missing (%)0.0%
Memory size159.0 B
True
23 
False
4 
ValueCountFrequency (%)
True 23
85.2%
False 4
 
14.8%
2024-01-28T15:48:47.500033image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

대여료
Categorical

CONSTANT 

Distinct1
Distinct (%)3.7%
Missing0
Missing (%)0.0%
Memory size348.0 B
0
27 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 27
100.0%

Length

2024-01-28T15:48:47.574076image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-28T15:48:47.640028image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 27
100.0%

보유수량
Categorical

IMBALANCE 

Distinct2
Distinct (%)7.4%
Missing0
Missing (%)0.0%
Memory size348.0 B
1
26 
2
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)3.7%

Sample

1st row2
2nd row1
3rd row1
4th row1
5th row1

Common Values

ValueCountFrequency (%)
1 26
96.3%
2 1
 
3.7%

Length

2024-01-28T15:48:47.706915image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-28T15:48:47.773932image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 26
96.3%
2 1
 
3.7%

구성품
Categorical

Distinct2
Distinct (%)7.4%
Missing0
Missing (%)0.0%
Memory size348.0 B
장비
21 
장비/집진기
6 

Length

Max length6
Median length2
Mean length2.8888889
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row장비
2nd row장비
3rd row장비
4th row장비/집진기
5th row장비/집진기

Common Values

ValueCountFrequency (%)
장비 21
77.8%
장비/집진기 6
 
22.2%

Length

2024-01-28T15:48:47.853484image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-28T15:48:47.932481image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
장비 21
77.8%
장비/집진기 6
 
22.2%

이용안내
Categorical

CONSTANT 

Distinct1
Distinct (%)3.7%
Missing0
Missing (%)0.0%
Memory size348.0 B
예약제
27 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row예약제
2nd row예약제
3rd row예약제
4th row예약제
5th row예약제

Common Values

ValueCountFrequency (%)
예약제 27
100.0%

Length

2024-01-28T15:48:48.013965image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-28T15:48:48.082935image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
예약제 27
100.0%

사양
Text

UNIQUE 

Distinct27
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size348.0 B
2024-01-28T15:48:48.217121image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length28
Median length21
Mean length18.518519
Min length11

Characters and Unicode

Total characters500
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique27 ?
Unique (%)100.0%

Sample

1st row554 X 579 X 524 mm
2nd row22.75 X 23.25 X 22.75 inches
3rd row500 X 700 x 350 mm
4th row1,118 X 991 X 914mm
5th row610 X 457mm
ValueCountFrequency (%)
x 52
33.5%
mm 23
 
14.8%
500 6
 
3.9%
200 4
 
2.6%
1200 2
 
1.3%
900 2
 
1.3%
800 2
 
1.3%
365 2
 
1.3%
220 2
 
1.3%
160 2
 
1.3%
Other values (53) 58
37.4%
2024-01-28T15:48:48.488279image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
129
25.8%
0 79
15.8%
m 52
10.4%
X 50
 
10.0%
5 34
 
6.8%
1 33
 
6.6%
2 28
 
5.6%
4 17
 
3.4%
9 14
 
2.8%
6 13
 
2.6%
Other values (12) 51
 
10.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 255
51.0%
Space Separator 129
25.8%
Lowercase Letter 60
 
12.0%
Uppercase Letter 50
 
10.0%
Other Punctuation 6
 
1.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 79
31.0%
5 34
13.3%
1 33
12.9%
2 28
 
11.0%
4 17
 
6.7%
9 14
 
5.5%
6 13
 
5.1%
7 13
 
5.1%
3 12
 
4.7%
8 12
 
4.7%
Lowercase Letter
ValueCountFrequency (%)
m 52
86.7%
x 2
 
3.3%
i 1
 
1.7%
c 1
 
1.7%
h 1
 
1.7%
e 1
 
1.7%
s 1
 
1.7%
n 1
 
1.7%
Other Punctuation
ValueCountFrequency (%)
. 4
66.7%
, 2
33.3%
Space Separator
ValueCountFrequency (%)
129
100.0%
Uppercase Letter
ValueCountFrequency (%)
X 50
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 390
78.0%
Latin 110
 
22.0%

Most frequent character per script

Common
ValueCountFrequency (%)
129
33.1%
0 79
20.3%
5 34
 
8.7%
1 33
 
8.5%
2 28
 
7.2%
4 17
 
4.4%
9 14
 
3.6%
6 13
 
3.3%
7 13
 
3.3%
3 12
 
3.1%
Other values (3) 18
 
4.6%
Latin
ValueCountFrequency (%)
m 52
47.3%
X 50
45.5%
x 2
 
1.8%
i 1
 
0.9%
c 1
 
0.9%
h 1
 
0.9%
e 1
 
0.9%
s 1
 
0.9%
n 1
 
0.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 500
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
129
25.8%
0 79
15.8%
m 52
10.4%
X 50
 
10.0%
5 34
 
6.8%
1 33
 
6.6%
2 28
 
5.6%
4 17
 
3.4%
9 14
 
2.8%
6 13
 
2.6%
Other values (12) 51
 
10.2%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)3.7%
Missing0
Missing (%)0.0%
Memory size348.0 B
Minimum2022-12-26 00:00:00
Maximum2022-12-26 00:00:00
2024-01-28T15:48:48.584145image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T15:48:48.656529image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

리스트페이지URL
Categorical

CONSTANT 

Distinct1
Distinct (%)3.7%
Missing0
Missing (%)0.0%
Memory size348.0 B
https://www.biplex.or.kr/leanstartup/material_list.php
27 

Length

Max length54
Median length54
Mean length54
Min length54

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowhttps://www.biplex.or.kr/leanstartup/material_list.php
2nd rowhttps://www.biplex.or.kr/leanstartup/material_list.php
3rd rowhttps://www.biplex.or.kr/leanstartup/material_list.php
4th rowhttps://www.biplex.or.kr/leanstartup/material_list.php
5th rowhttps://www.biplex.or.kr/leanstartup/material_list.php

Common Values

ValueCountFrequency (%)
https://www.biplex.or.kr/leanstartup/material_list.php 27
100.0%

Length

2024-01-28T15:48:48.740055image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-28T15:48:48.809692image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
https://www.biplex.or.kr/leanstartup/material_list.php 27
100.0%

Unnamed: 10
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing27
Missing (%)100.0%
Memory size375.0 B

Unnamed: 11
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing27
Missing (%)100.0%
Memory size375.0 B

Unnamed: 12
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing27
Missing (%)100.0%
Memory size375.0 B

Unnamed: 13
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing27
Missing (%)100.0%
Memory size375.0 B

Correlations

2024-01-28T15:48:48.856285image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
분류장비명대여가능여부보유수량구성품사양
분류1.0001.0000.0000.0000.0001.000
장비명1.0001.0001.0001.0001.0001.000
대여가능여부0.0001.0001.0000.0000.0001.000
보유수량0.0001.0000.0001.0000.0001.000
구성품0.0001.0000.0000.0001.0001.000
사양1.0001.0001.0001.0001.0001.000
2024-01-28T15:48:48.938575image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
구성품대여가능여부분류보유수량
구성품1.0000.0000.0000.000
대여가능여부0.0001.0000.0000.000
분류0.0000.0001.0000.000
보유수량0.0000.0000.0001.000
2024-01-28T15:48:49.008873image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
분류대여가능여부보유수량구성품
분류1.0000.0000.0000.000
대여가능여부0.0001.0000.0000.000
보유수량0.0000.0001.0000.000
구성품0.0000.0000.0001.000

Missing values

2024-01-28T15:48:46.662630image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-01-28T15:48:46.826879image/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

분류장비명대여가능여부대여료보유수량구성품이용안내사양데이터기준일자리스트페이지URLUnnamed: 10Unnamed: 11Unnamed: 12Unnamed: 13
0디지털랩3D 프린터 (CUBICON)Y02장비예약제554 X 579 X 524 mm2022-12-26https://www.biplex.or.kr/leanstartup/material_list.php<NA><NA><NA><NA>
1디지털랩3D 프린터 (CUBE PRO)N01장비예약제22.75 X 23.25 X 22.75 inches2022-12-26https://www.biplex.or.kr/leanstartup/material_list.php<NA><NA><NA><NA>
2디지털랩3D 스캐너Y01장비예약제500 X 700 x 350 mm2022-12-26https://www.biplex.or.kr/leanstartup/material_list.php<NA><NA><NA><NA>
3디지털랩레이저커팅기 (대형)Y01장비/집진기예약제1,118 X 991 X 914mm2022-12-26https://www.biplex.or.kr/leanstartup/material_list.php<NA><NA><NA><NA>
4디지털랩레이저커팅기 (소형)Y01장비/집진기예약제610 X 457mm2022-12-26https://www.biplex.or.kr/leanstartup/material_list.php<NA><NA><NA><NA>
5디지털랩CNC 조각기(소)Y01장비예약제305 X 305 X 105 mm2022-12-26https://www.biplex.or.kr/leanstartup/material_list.php<NA><NA><NA><NA>
6디지털랩진공성형기Y01장비예약제757 X 1140 X 1474 mm2022-12-26https://www.biplex.or.kr/leanstartup/material_list.php<NA><NA><NA><NA>
7디지털랩UV 프린터Y01장비/집진기예약제1,202 X 962 X 549mm2022-12-26https://www.biplex.or.kr/leanstartup/material_list.php<NA><NA><NA><NA>
8디지털랩아크릴 절곡기Y01장비예약제850 X 410 X 220 mm2022-12-26https://www.biplex.or.kr/leanstartup/material_list.php<NA><NA><NA><NA>
9디지털랩CNC 비닐커터Y01장비예약제975 X 450 X 390 mm2022-12-26https://www.biplex.or.kr/leanstartup/material_list.php<NA><NA><NA><NA>
분류장비명대여가능여부대여료보유수량구성품이용안내사양데이터기준일자리스트페이지URLUnnamed: 10Unnamed: 11Unnamed: 12Unnamed: 13
17디자인랩소형 스크롤 쏘Y01장비예약제106 X 160 X 300 mm2022-12-26https://www.biplex.or.kr/leanstartup/material_list.php<NA><NA><NA><NA>
18디자인랩드릴 프레스Y01장비예약제200 X 200 X 500 mm2022-12-26https://www.biplex.or.kr/leanstartup/material_list.php<NA><NA><NA><NA>
19디자인랩후가공 부스Y01장비예약제780 X 680 X 490 mm2022-12-26https://www.biplex.or.kr/leanstartup/material_list.php<NA><NA><NA><NA>
20디자인랩슬라이딩쏘우 (소)Y01장비예약제690 X 500 X 900 mm2022-12-26https://www.biplex.or.kr/leanstartup/material_list.php<NA><NA><NA><NA>
21디자인랩소형 집진기Y01장비예약제700 X 500 X 1560 mm2022-12-26https://www.biplex.or.kr/leanstartup/material_list.php<NA><NA><NA><NA>
22디자인랩무카본 원형샌더Y01장비예약제630 X 365 X 540 mm2022-12-26https://www.biplex.or.kr/leanstartup/material_list.php<NA><NA><NA><NA>
23디자인랩다기능이동공작기기세트Y01장비예약제900 X 600 X 1400 mm2022-12-26https://www.biplex.or.kr/leanstartup/material_list.php<NA><NA><NA><NA>
24디자인랩소형 밴드쏘Y01장비예약제200 X 220 mm2022-12-26https://www.biplex.or.kr/leanstartup/material_list.php<NA><NA><NA><NA>
25디자인랩라우터(핸디형)Y01장비/집진기예약제1270 X 2540 X 160 mm2022-12-26https://www.biplex.or.kr/leanstartup/material_list.php<NA><NA><NA><NA>
26디자인랩자동대패Y01장비/집진기예약제500 X 500 x 250 mm2022-12-26https://www.biplex.or.kr/leanstartup/material_list.php<NA><NA><NA><NA>