Overview

Dataset statistics

Number of variables7
Number of observations61
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory3.5 KiB
Average record size in memory58.2 B

Variable types

Text6
DateTime1

Dataset

Description인천광역시 로봇산업진흥시설 입주기업(구분, 업체명, 대표자, 업종, 입주년월, 위치, 면적)에 관한 데이터를 제공합니다. ※누적 60개사(예비창업자 포함 / 로봇타워, R&D센터 중복1개사), 560여명, 입주율 97%
URLhttps://www.data.go.kr/data/15121429/fileData.do

Alerts

구분 has unique valuesUnique

Reproduction

Analysis started2023-12-12 04:14:34.773201
Analysis finished2023-12-12 04:14:35.868449
Duration1.1 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

구분
Text

UNIQUE 

Distinct61
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size620.0 B
2023-12-12T13:14:36.067296image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length5
Median length2
Mean length2.0983607
Min length1

Characters and Unicode

Total characters128
Distinct characters14
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique61 ?
Unique (%)100.0%

Sample

1st row1
2nd row2
3rd row3
4th row4
5th row5
ValueCountFrequency (%)
1 1
 
1.6%
32 1
 
1.6%
34 1
 
1.6%
35 1
 
1.6%
36 1
 
1.6%
37 1
 
1.6%
38 1
 
1.6%
39 1
 
1.6%
40 1
 
1.6%
41 1
 
1.6%
Other values (51) 51
83.6%
2023-12-12T13:14:36.531852image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 17
13.3%
2 17
13.3%
3 17
13.3%
4 17
13.3%
5 14
10.9%
6 6
 
4.7%
7 5
 
3.9%
8 5
 
3.9%
9 5
 
3.9%
0 5
 
3.9%
Other values (4) 20
15.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 108
84.4%
Uppercase Letter 10
 
7.8%
Lowercase Letter 5
 
3.9%
Dash Punctuation 5
 
3.9%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 17
15.7%
2 17
15.7%
3 17
15.7%
4 17
15.7%
5 14
13.0%
6 6
 
5.6%
7 5
 
4.6%
8 5
 
4.6%
9 5
 
4.6%
0 5
 
4.6%
Uppercase Letter
ValueCountFrequency (%)
R 5
50.0%
D 5
50.0%
Lowercase Letter
ValueCountFrequency (%)
n 5
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 113
88.3%
Latin 15
 
11.7%

Most frequent character per script

Common
ValueCountFrequency (%)
1 17
15.0%
2 17
15.0%
3 17
15.0%
4 17
15.0%
5 14
12.4%
6 6
 
5.3%
7 5
 
4.4%
8 5
 
4.4%
9 5
 
4.4%
0 5
 
4.4%
Latin
ValueCountFrequency (%)
R 5
33.3%
n 5
33.3%
D 5
33.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 128
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 17
13.3%
2 17
13.3%
3 17
13.3%
4 17
13.3%
5 14
10.9%
6 6
 
4.7%
7 5
 
3.9%
8 5
 
3.9%
9 5
 
3.9%
0 5
 
3.9%
Other values (4) 20
15.6%

업체명
Text

Distinct60
Distinct (%)98.4%
Missing0
Missing (%)0.0%
Memory size620.0 B
2023-12-12T13:14:36.831897image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length10
Mean length6.8032787
Min length3

Characters and Unicode

Total characters415
Distinct characters147
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique59 ?
Unique (%)96.7%

Sample

1st row㈜인천로봇랜드
2nd row㈜한빛드론
3rd row㈜습지교육원
4th row(사)한국드론레이싱협회
5th row로보웍스(주)
ValueCountFrequency (%)
주식회사 6
 
8.6%
항공안전기술원 2
 
2.9%
㈜서울에이앤티 1
 
1.4%
㈜프렉시온 1
 
1.4%
이룸시스템 1
 
1.4%
㈜파인브이티 1
 
1.4%
게임플러스(주 1
 
1.4%
한국문화교류사업단 1
 
1.4%
㈜엑스드론 1
 
1.4%
엘피스 1
 
1.4%
Other values (54) 54
77.1%
2023-12-12T13:14:37.300072image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
㈜ 33
 
8.0%
스 21
 
5.1%
이 16
 
3.9%
로 14
 
3.4%
사 13
 
3.1%
드 13
 
3.1%
주 10
 
2.4%
론 9
 
2.2%
9
 
2.2%
회 8
 
1.9%
Other values (137) 269
64.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 358
86.3%
Other Symbol 33
 
8.0%
Space Separator 9
 
2.2%
Open Punctuation 6
 
1.4%
Close Punctuation 6
 
1.4%
Uppercase Letter 3
 
0.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
스 21
 
5.9%
이 16
 
4.5%
로 14
 
3.9%
사 13
 
3.6%
드 13
 
3.6%
주 10
 
2.8%
론 9
 
2.5%
회 8
 
2.2%
한 7
 
2.0%
보 7
 
2.0%
Other values (130) 240
67.0%
Uppercase Letter
ValueCountFrequency (%)
T 1
33.3%
A 1
33.3%
K 1
33.3%
Other Symbol
ValueCountFrequency (%)
㈜ 33
100.0%
Space Separator
ValueCountFrequency (%)
9
100.0%
Open Punctuation
ValueCountFrequency (%)
( 6
100.0%
Close Punctuation
ValueCountFrequency (%)
) 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 391
94.2%
Common 21
 
5.1%
Latin 3
 
0.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
㈜ 33
 
8.4%
스 21
 
5.4%
이 16
 
4.1%
로 14
 
3.6%
사 13
 
3.3%
드 13
 
3.3%
주 10
 
2.6%
론 9
 
2.3%
회 8
 
2.0%
한 7
 
1.8%
Other values (131) 247
63.2%
Common
ValueCountFrequency (%)
9
42.9%
( 6
28.6%
) 6
28.6%
Latin
ValueCountFrequency (%)
T 1
33.3%
A 1
33.3%
K 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 358
86.3%
None 33
 
8.0%
ASCII 24
 
5.8%

Most frequent character per block

None
ValueCountFrequency (%)
㈜ 33
100.0%
Hangul
ValueCountFrequency (%)
스 21
 
5.9%
이 16
 
4.5%
로 14
 
3.9%
사 13
 
3.6%
드 13
 
3.6%
주 10
 
2.8%
론 9
 
2.5%
회 8
 
2.2%
한 7
 
2.0%
보 7
 
2.0%
Other values (130) 240
67.0%
ASCII
ValueCountFrequency (%)
9
37.5%
( 6
25.0%
) 6
25.0%
T 1
 
4.2%
A 1
 
4.2%
K 1
 
4.2%

대표자
Text

Distinct57
Distinct (%)93.4%
Missing0
Missing (%)0.0%
Memory size620.0 B
2023-12-12T13:14:37.589040image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length3
Mean length3.0819672
Min length3

Characters and Unicode

Total characters188
Distinct characters75
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique53 ?
Unique (%)86.9%

Sample

1st row박철휴
2nd row박양규
3rd row백용해
4th row강희동
5th row이현종
ValueCountFrequency (%)
강희동 2
 
3.2%
이현종 2
 
3.2%
조성호 2
 
3.2%
이대성 2
 
3.2%
안지영 1
 
1.6%
전상직 1
 
1.6%
박철휴 1
 
1.6%
고재윤 1
 
1.6%
이종대 1
 
1.6%
김덕희 1
 
1.6%
Other values (48) 48
77.4%
2023-12-12T13:14:38.097218image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
김 13
 
6.9%
현 9
 
4.8%
박 8
 
4.3%
이 8
 
4.3%
조 6
 
3.2%
희 6
 
3.2%
영 6
 
3.2%
정 5
 
2.7%
기 5
 
2.7%
대 4
 
2.1%
Other values (65) 118
62.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 186
98.9%
Other Punctuation 1
 
0.5%
Space Separator 1
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
김 13
 
7.0%
현 9
 
4.8%
박 8
 
4.3%
이 8
 
4.3%
조 6
 
3.2%
희 6
 
3.2%
영 6
 
3.2%
정 5
 
2.7%
기 5
 
2.7%
대 4
 
2.2%
Other values (63) 116
62.4%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 186
98.9%
Common 2
 
1.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
김 13
 
7.0%
현 9
 
4.8%
박 8
 
4.3%
이 8
 
4.3%
조 6
 
3.2%
희 6
 
3.2%
영 6
 
3.2%
정 5
 
2.7%
기 5
 
2.7%
대 4
 
2.2%
Other values (63) 116
62.4%
Common
ValueCountFrequency (%)
, 1
50.0%
1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 186
98.9%
ASCII 2
 
1.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
김 13
 
7.0%
현 9
 
4.8%
박 8
 
4.3%
이 8
 
4.3%
조 6
 
3.2%
희 6
 
3.2%
영 6
 
3.2%
정 5
 
2.7%
기 5
 
2.7%
대 4
 
2.2%
Other values (63) 116
62.4%
ASCII
ValueCountFrequency (%)
, 1
50.0%
1
50.0%

업종
Text

Distinct58
Distinct (%)95.1%
Missing0
Missing (%)0.0%
Memory size620.0 B
2023-12-12T13:14:38.500205image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length17
Mean length11.409836
Min length4

Characters and Unicode

Total characters696
Distinct characters150
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique55 ?
Unique (%)90.2%

Sample

1st row로봇랜드 조성사업
2nd row드론교육서비스
3rd row드론활용 갯벌 탐사
4th row드론항공촬영, 교육
5th row로봇,드론 SW개발
ValueCountFrequency (%)
개발 16
 
9.8%
제조 6
 
3.7%
교육 5
 
3.0%
로봇 5
 
3.0%
제작 4
 
2.4%
무인항공기 4
 
2.4%
드론 4
 
2.4%
교육용 4
 
2.4%
및 4
 
2.4%
산업용 3
 
1.8%
Other values (96) 109
66.5%
2023-12-12T13:14:39.122078image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
103
 
14.8%
로 37
 
5.3%
봇 35
 
5.0%
발 23
 
3.3%
개 22
 
3.2%
드 21
 
3.0%
론 20
 
2.9%
교 19
 
2.7%
제 17
 
2.4%
육 17
 
2.4%
Other values (140) 382
54.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 554
79.6%
Space Separator 103
 
14.8%
Other Punctuation 15
 
2.2%
Uppercase Letter 11
 
1.6%
Lowercase Letter 8
 
1.1%
Decimal Number 3
 
0.4%
Close Punctuation 1
 
0.1%
Open Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
로 37
 
6.7%
봇 35
 
6.3%
발 23
 
4.2%
개 22
 
4.0%
드 21
 
3.8%
론 20
 
3.6%
교 19
 
3.4%
제 17
 
3.1%
육 17
 
3.1%
용 15
 
2.7%
Other values (116) 328
59.2%
Uppercase Letter
ValueCountFrequency (%)
O 2
18.2%
S 2
18.2%
W 2
18.2%
V 1
9.1%
R 1
9.1%
I 1
9.1%
A 1
9.1%
M 1
9.1%
Lowercase Letter
ValueCountFrequency (%)
f 2
25.0%
n 1
12.5%
p 1
12.5%
u 1
12.5%
h 1
12.5%
s 1
12.5%
a 1
12.5%
Other Punctuation
ValueCountFrequency (%)
, 12
80.0%
· 2
 
13.3%
/ 1
 
6.7%
Decimal Number
ValueCountFrequency (%)
0 1
33.3%
6 1
33.3%
3 1
33.3%
Space Separator
ValueCountFrequency (%)
103
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 554
79.6%
Common 123
 
17.7%
Latin 19
 
2.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
로 37
 
6.7%
봇 35
 
6.3%
발 23
 
4.2%
개 22
 
4.0%
드 21
 
3.8%
론 20
 
3.6%
교 19
 
3.4%
제 17
 
3.1%
육 17
 
3.1%
용 15
 
2.7%
Other values (116) 328
59.2%
Latin
ValueCountFrequency (%)
O 2
 
10.5%
f 2
 
10.5%
S 2
 
10.5%
W 2
 
10.5%
V 1
 
5.3%
R 1
 
5.3%
n 1
 
5.3%
I 1
 
5.3%
A 1
 
5.3%
p 1
 
5.3%
Other values (5) 5
26.3%
Common
ValueCountFrequency (%)
103
83.7%
, 12
 
9.8%
· 2
 
1.6%
0 1
 
0.8%
6 1
 
0.8%
3 1
 
0.8%
/ 1
 
0.8%
) 1
 
0.8%
( 1
 
0.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 554
79.6%
ASCII 140
 
20.1%
None 2
 
0.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
103
73.6%
, 12
 
8.6%
O 2
 
1.4%
f 2
 
1.4%
S 2
 
1.4%
W 2
 
1.4%
V 1
 
0.7%
R 1
 
0.7%
0 1
 
0.7%
6 1
 
0.7%
Other values (13) 13
 
9.3%
Hangul
ValueCountFrequency (%)
로 37
 
6.7%
봇 35
 
6.3%
발 23
 
4.2%
개 22
 
4.0%
드 21
 
3.8%
론 20
 
3.6%
교 19
 
3.4%
제 17
 
3.1%
육 17
 
3.1%
용 15
 
2.7%
Other values (116) 328
59.2%
None
ValueCountFrequency (%)
· 2
100.0%

입주년월
Date

Distinct28
Distinct (%)45.9%
Missing0
Missing (%)0.0%
Memory size620.0 B
Minimum2017-01-01 00:00:00
Maximum2022-09-01 00:00:00
2023-12-12T13:14:39.285265image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:14:39.481018image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)

위치
Text

Distinct60
Distinct (%)98.4%
Missing0
Missing (%)0.0%
Memory size620.0 B
2023-12-12T13:14:39.775748image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length17
Mean length11.04918
Min length9

Characters and Unicode

Total characters674
Distinct characters25
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique59 ?
Unique (%)96.7%

Sample

1st row로봇타워 402호
2nd row로봇타워 805호,1301~6호
3rd row로봇타워 704호
4th row로봇타워 1501호
5th row로봇타워 1506호
ValueCountFrequency (%)
로봇타워 56
44.8%
로봇r&d센터 5
 
4.0%
706호 2
 
1.6%
5층 1
 
0.8%
3층 1
 
0.8%
2101-4호 1
 
0.8%
2101-5호 1
 
0.8%
1405호 1
 
0.8%
1406호 1
 
0.8%
705호 1
 
0.8%
Other values (55) 55
44.0%
2023-12-12T13:14:40.284203image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 69
10.2%
0 67
9.9%
64
9.5%
봇 61
9.1%
호 61
9.1%
로 61
9.1%
워 56
8.3%
타 56
8.3%
2 36
 
5.3%
5 20
 
3.0%
Other values (15) 123
18.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 309
45.8%
Decimal Number 256
38.0%
Space Separator 64
 
9.5%
Math Symbol 13
 
1.9%
Dash Punctuation 12
 
1.8%
Other Punctuation 10
 
1.5%
Uppercase Letter 10
 
1.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 69
27.0%
0 67
26.2%
2 36
14.1%
5 20
 
7.8%
4 18
 
7.0%
6 13
 
5.1%
3 12
 
4.7%
7 8
 
3.1%
9 7
 
2.7%
8 6
 
2.3%
Other Letter
ValueCountFrequency (%)
봇 61
19.7%
호 61
19.7%
로 61
19.7%
워 56
18.1%
타 56
18.1%
센 5
 
1.6%
터 5
 
1.6%
층 4
 
1.3%
Other Punctuation
ValueCountFrequency (%)
, 5
50.0%
& 5
50.0%
Uppercase Letter
ValueCountFrequency (%)
R 5
50.0%
D 5
50.0%
Space Separator
ValueCountFrequency (%)
64
100.0%
Math Symbol
ValueCountFrequency (%)
~ 13
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 12
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 355
52.7%
Hangul 309
45.8%
Latin 10
 
1.5%

Most frequent character per script

Common
ValueCountFrequency (%)
1 69
19.4%
0 67
18.9%
64
18.0%
2 36
10.1%
5 20
 
5.6%
4 18
 
5.1%
~ 13
 
3.7%
6 13
 
3.7%
- 12
 
3.4%
3 12
 
3.4%
Other values (5) 31
8.7%
Hangul
ValueCountFrequency (%)
봇 61
19.7%
호 61
19.7%
로 61
19.7%
워 56
18.1%
타 56
18.1%
센 5
 
1.6%
터 5
 
1.6%
층 4
 
1.3%
Latin
ValueCountFrequency (%)
R 5
50.0%
D 5
50.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 365
54.2%
Hangul 309
45.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 69
18.9%
0 67
18.4%
64
17.5%
2 36
9.9%
5 20
 
5.5%
4 18
 
4.9%
~ 13
 
3.6%
6 13
 
3.6%
- 12
 
3.3%
3 12
 
3.3%
Other values (7) 41
11.2%
Hangul
ValueCountFrequency (%)
봇 61
19.7%
호 61
19.7%
로 61
19.7%
워 56
18.1%
타 56
18.1%
센 5
 
1.6%
터 5
 
1.6%
층 4
 
1.3%

면적(제곱미터)
Text

Distinct37
Distinct (%)60.7%
Missing0
Missing (%)0.0%
Memory size620.0 B
2023-12-12T13:14:40.583808image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length5
Mean length5.3278689
Min length4

Characters and Unicode

Total characters325
Distinct characters12
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique28 ?
Unique (%)45.9%

Sample

1st row215.1
2nd row638.44
3rd row84.72
4th row97.59
5th row77.59
ValueCountFrequency (%)
77.59 7
 
11.5%
125.86 6
 
9.8%
84.72 5
 
8.2%
97.59 4
 
6.6%
9.49 3
 
4.9%
41.95 2
 
3.3%
181.49 2
 
3.3%
203.45 2
 
3.3%
9.81 2
 
3.3%
13.35 1
 
1.6%
Other values (27) 27
44.3%
2023-12-12T13:14:41.075045image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 61
18.8%
5 34
10.5%
9 34
10.5%
1 32
9.8%
8 32
9.8%
7 31
9.5%
4 31
9.5%
2 28
8.6%
3 18
 
5.5%
6 17
 
5.2%
Other values (2) 7
 
2.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 262
80.6%
Other Punctuation 63
 
19.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 34
13.0%
9 34
13.0%
1 32
12.2%
8 32
12.2%
7 31
11.8%
4 31
11.8%
2 28
10.7%
3 18
6.9%
6 17
6.5%
0 5
 
1.9%
Other Punctuation
ValueCountFrequency (%)
. 61
96.8%
, 2
 
3.2%

Most occurring scripts

ValueCountFrequency (%)
Common 325
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
. 61
18.8%
5 34
10.5%
9 34
10.5%
1 32
9.8%
8 32
9.8%
7 31
9.5%
4 31
9.5%
2 28
8.6%
3 18
 
5.5%
6 17
 
5.2%
Other values (2) 7
 
2.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 325
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 61
18.8%
5 34
10.5%
9 34
10.5%
1 32
9.8%
8 32
9.8%
7 31
9.5%
4 31
9.5%
2 28
8.6%
3 18
 
5.5%
6 17
 
5.2%
Other values (2) 7
 
2.2%

Correlations

2023-12-12T13:14:41.199285image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
구분업체명대표자업종입주년월위치면적(제곱미터)
구분1.0001.0001.0001.0001.0001.0001.000
업체명1.0001.0001.0001.0001.0000.9980.920
대표자1.0001.0001.0000.9940.9790.9910.947
업종1.0001.0000.9941.0000.9250.9960.958
입주년월1.0001.0000.9790.9251.0000.8980.383
위치1.0000.9980.9910.9960.8981.0001.000
면적(제곱미터)1.0000.9200.9470.9580.3831.0001.000

Missing values

2023-12-12T13:14:35.648564image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T13:14:35.807093image/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

구분업체명대표자업종입주년월위치면적(제곱미터)
01㈜인천로봇랜드박철휴로봇랜드 조성사업2017-09로봇타워 402호215.1
12㈜한빛드론박양규드론교육서비스2017-01로봇타워 805호,1301~6호638.44
23㈜습지교육원백용해드론활용 갯벌 탐사2017-01로봇타워 704호84.72
34(사)한국드론레이싱협회강희동드론항공촬영, 교육2017-01로봇타워 1501호97.59
45로보웍스(주)이현종로봇,드론 SW개발2017-01로봇타워 1506호77.59
56주식회사 미라이강희동드론콘텐츠 개발, 교육2017-01로봇타워 1502-1호41.95
67㈜케이로봇김정애로봇부품 생산2017-01로봇타워 1504호84.72
78드론파일럿정재환산업용드론 제조, 수리2017-01로봇타워 1502-2호41.95
89더케이볼트(주)김재철교육용로봇 제조2017-01로봇타워 1505호125.86
910주식회사 팔네트웍스최현식항공소프트웨어 개발2017-01로봇타워 1401~2호181.49
구분업체명대표자업종입주년월위치면적(제곱미터)
5152㈜로보로보랜드이현종교육용 로봇제조2021-12로봇타워 1201호97.59
5253㈜태신지엘박경식인공지능, 서비스로봇2022-02로봇타워 706호77.59
5354㈜신우시스템김재환로봇구조용 부품2022-04로봇타워 1404호84.72
5455엔로보틱스노현우로봇부품제조2022-09로봇타워 2101-2호13.35
5556아이레전현희인공지능, 로봇교육제품개발2022-09로봇타워 2101-7호8.95
56RnD-1항공안전기술원이대성무인항공기 기술지원2017-12로봇R&D센터 1 ~ 3층2,543.14
57RnD-2한국항공기술KAT㈜조문수무인항공기 기술개발2018-02로봇R&D센터 5층528.96
58RnD-3서울대 음대 예술과학센터전상직악기연주로봇 연구개발2018-01로봇R&D센터 102호,203호198.17
59RnD-4㈜서울에이앤티박광용악기연주로봇 기획 ·제작2017-01로봇R&D센터 202호44.64
60RnD-5㈜시스콘김흥수자율주행로봇 개발2019-06로봇R&D센터 4층986.43