Overview

Dataset statistics

Number of variables5
Number of observations23
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.0 KiB
Average record size in memory46.7 B

Variable types

Numeric1
Text3
Categorical1

Dataset

Description인천광역시 남동구 창업지원센터 코워킹 스페이스 입주기업에 대한 데이터로 연번,기업명,분야,슬로건,대표자,데이터 기준일자 항목을 제공합니다.
URLhttps://www.data.go.kr/data/15090969/fileData.do

Alerts

데이터 기준일자 has constant value ""Constant
연번 has unique valuesUnique
기업명 has unique valuesUnique
분야 has unique valuesUnique
대표자 has unique valuesUnique

Reproduction

Analysis started2023-12-11 23:40:53.087004
Analysis finished2023-12-11 23:40:53.618129
Duration0.53 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct23
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12
Minimum1
Maximum23
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size339.0 B
2023-12-12T08:40:53.686744image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2.1
Q16.5
median12
Q317.5
95-th percentile21.9
Maximum23
Range22
Interquartile range (IQR)11

Descriptive statistics

Standard deviation6.78233
Coefficient of variation (CV)0.56519417
Kurtosis-1.2
Mean12
Median Absolute Deviation (MAD)6
Skewness0
Sum276
Variance46
MonotonicityStrictly increasing
2023-12-12T08:40:53.834149image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
1 1
 
4.3%
2 1
 
4.3%
23 1
 
4.3%
22 1
 
4.3%
21 1
 
4.3%
20 1
 
4.3%
19 1
 
4.3%
18 1
 
4.3%
17 1
 
4.3%
16 1
 
4.3%
Other values (13) 13
56.5%
ValueCountFrequency (%)
1 1
4.3%
2 1
4.3%
3 1
4.3%
4 1
4.3%
5 1
4.3%
6 1
4.3%
7 1
4.3%
8 1
4.3%
9 1
4.3%
10 1
4.3%
ValueCountFrequency (%)
23 1
4.3%
22 1
4.3%
21 1
4.3%
20 1
4.3%
19 1
4.3%
18 1
4.3%
17 1
4.3%
16 1
4.3%
15 1
4.3%
14 1
4.3%

기업명
Text

UNIQUE 

Distinct23
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size316.0 B
2023-12-12T08:40:54.028895image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length8
Mean length5.3913043
Min length2

Characters and Unicode

Total characters124
Distinct characters77
Distinct categories5 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique23 ?
Unique (%)100.0%

Sample

1st row피플태그스튜디오
2nd row빅스텝
3rd row몬타나 아카데미
4th row시니올라
5th row㈜레이디하우스
ValueCountFrequency (%)
피플태그스튜디오 1
 
4.0%
하모너스 1
 
4.0%
펀더캄머 1
 
4.0%
유어이모션 1
 
4.0%
seeker 1
 
4.0%
heart 1
 
4.0%
창보기 1
 
4.0%
알통 1
 
4.0%
㈜이지에이치코리아 1
 
4.0%
㈜소래바다 1
 
4.0%
Other values (15) 15
60.0%
2023-12-12T08:40:54.426215image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
㈜ 10
 
8.1%
이 8
 
6.5%
스 6
 
4.8%
e 4
 
3.2%
아 3
 
2.4%
에 3
 
2.4%
유 2
 
1.6%
r 2
 
1.6%
보 2
 
1.6%
니 2
 
1.6%
Other values (67) 82
66.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 99
79.8%
Other Symbol 10
 
8.1%
Lowercase Letter 9
 
7.3%
Uppercase Letter 4
 
3.2%
Space Separator 2
 
1.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 8
 
8.1%
스 6
 
6.1%
아 3
 
3.0%
에 3
 
3.0%
유 2
 
2.0%
보 2
 
2.0%
니 2
 
2.0%
트 2
 
2.0%
메 2
 
2.0%
하 2
 
2.0%
Other values (56) 67
67.7%
Lowercase Letter
ValueCountFrequency (%)
e 4
44.4%
r 2
22.2%
k 1
 
11.1%
a 1
 
11.1%
t 1
 
11.1%
Uppercase Letter
ValueCountFrequency (%)
W 1
25.0%
H 1
25.0%
S 1
25.0%
E 1
25.0%
Other Symbol
ValueCountFrequency (%)
㈜ 10
100.0%
Space Separator
ValueCountFrequency (%)
2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 109
87.9%
Latin 13
 
10.5%
Common 2
 
1.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
㈜ 10
 
9.2%
이 8
 
7.3%
스 6
 
5.5%
아 3
 
2.8%
에 3
 
2.8%
유 2
 
1.8%
보 2
 
1.8%
니 2
 
1.8%
트 2
 
1.8%
메 2
 
1.8%
Other values (57) 69
63.3%
Latin
ValueCountFrequency (%)
e 4
30.8%
r 2
15.4%
k 1
 
7.7%
W 1
 
7.7%
H 1
 
7.7%
S 1
 
7.7%
a 1
 
7.7%
t 1
 
7.7%
E 1
 
7.7%
Common
ValueCountFrequency (%)
2
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 99
79.8%
ASCII 15
 
12.1%
None 10
 
8.1%

Most frequent character per block

None
ValueCountFrequency (%)
㈜ 10
100.0%
Hangul
ValueCountFrequency (%)
이 8
 
8.1%
스 6
 
6.1%
아 3
 
3.0%
에 3
 
3.0%
유 2
 
2.0%
보 2
 
2.0%
니 2
 
2.0%
트 2
 
2.0%
메 2
 
2.0%
하 2
 
2.0%
Other values (56) 67
67.7%
ASCII
ValueCountFrequency (%)
e 4
26.7%
r 2
13.3%
2
13.3%
k 1
 
6.7%
W 1
 
6.7%
H 1
 
6.7%
S 1
 
6.7%
a 1
 
6.7%
t 1
 
6.7%
E 1
 
6.7%

분야
Text

UNIQUE 

Distinct23
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size316.0 B
2023-12-12T08:40:54.723319image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length25
Mean length19.521739
Min length9

Characters and Unicode

Total characters449
Distinct characters177
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

Unique23 ?
Unique (%)100.0%

Sample

1st row로컬 미디어콘텐츠 제작 대행사
2nd row빅데이터를 활용한 자기계발목표 달성지원 플랫폼
3rd row전통디자인 활용 상품 및 박물관 교구재 개발
4th row시니어 신체 상태에 맞는 개인 맞춤형 재활 솔루션
5th row화장품 제조 및 화장품/창업 교육
ValueCountFrequency (%)
및 6
 
5.6%
플랫폼 3
 
2.8%
판매 2
 
1.9%
개발 2
 
1.9%
친환경 2
 
1.9%
교육 2
 
1.9%
활용한 2
 
1.9%
장애 2
 
1.9%
디자인 2
 
1.9%
브랜딩&마케팅 1
 
0.9%
Other values (84) 84
77.8%
2023-12-12T08:40:55.166620image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
85
 
18.9%
스 9
 
2.0%
인 8
 
1.8%
이 8
 
1.8%
용 7
 
1.6%
플 6
 
1.3%
재 6
 
1.3%
및 6
 
1.3%
한 6
 
1.3%
활 6
 
1.3%
Other values (167) 302
67.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 350
78.0%
Space Separator 85
 
18.9%
Other Punctuation 5
 
1.1%
Uppercase Letter 4
 
0.9%
Open Punctuation 2
 
0.4%
Close Punctuation 2
 
0.4%
Decimal Number 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
스 9
 
2.6%
인 8
 
2.3%
이 8
 
2.3%
용 7
 
2.0%
플 6
 
1.7%
재 6
 
1.7%
및 6
 
1.7%
한 6
 
1.7%
활 6
 
1.7%
개 6
 
1.7%
Other values (157) 282
80.6%
Uppercase Letter
ValueCountFrequency (%)
N 1
25.0%
F 1
25.0%
T 1
25.0%
D 1
25.0%
Other Punctuation
ValueCountFrequency (%)
/ 3
60.0%
& 2
40.0%
Space Separator
ValueCountFrequency (%)
85
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Decimal Number
ValueCountFrequency (%)
3 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 350
78.0%
Common 95
 
21.2%
Latin 4
 
0.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
스 9
 
2.6%
인 8
 
2.3%
이 8
 
2.3%
용 7
 
2.0%
플 6
 
1.7%
재 6
 
1.7%
및 6
 
1.7%
한 6
 
1.7%
활 6
 
1.7%
개 6
 
1.7%
Other values (157) 282
80.6%
Common
ValueCountFrequency (%)
85
89.5%
/ 3
 
3.2%
& 2
 
2.1%
( 2
 
2.1%
) 2
 
2.1%
3 1
 
1.1%
Latin
ValueCountFrequency (%)
N 1
25.0%
F 1
25.0%
T 1
25.0%
D 1
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 350
78.0%
ASCII 99
 
22.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
85
85.9%
/ 3
 
3.0%
& 2
 
2.0%
( 2
 
2.0%
) 2
 
2.0%
N 1
 
1.0%
F 1
 
1.0%
T 1
 
1.0%
D 1
 
1.0%
3 1
 
1.0%
Hangul
ValueCountFrequency (%)
스 9
 
2.6%
인 8
 
2.3%
이 8
 
2.3%
용 7
 
2.0%
플 6
 
1.7%
재 6
 
1.7%
및 6
 
1.7%
한 6
 
1.7%
활 6
 
1.7%
개 6
 
1.7%
Other values (157) 282
80.6%

대표자
Text

UNIQUE 

Distinct23
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size316.0 B
2023-12-12T08:40:55.370221image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length3
Median length3
Mean length2.9565217
Min length2

Characters and Unicode

Total characters68
Distinct characters47
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique23 ?
Unique (%)100.0%

Sample

1st row엄태용
2nd row김광휘
3rd row이천수
4th row지민
5th row채하나
ValueCountFrequency (%)
엄태용 1
 
4.3%
이사라 1
 
4.3%
김수정 1
 
4.3%
정해림 1
 
4.3%
김영경 1
 
4.3%
이창복 1
 
4.3%
전태호 1
 
4.3%
김보람 1
 
4.3%
서진원 1
 
4.3%
박슬기 1
 
4.3%
Other values (13) 13
56.5%
2023-12-12T08:40:55.658901image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
김 6
 
8.8%
이 5
 
7.4%
경 3
 
4.4%
진 2
 
2.9%
민 2
 
2.9%
박 2
 
2.9%
해 2
 
2.9%
태 2
 
2.9%
지 2
 
2.9%
수 2
 
2.9%
Other values (37) 40
58.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 68
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
김 6
 
8.8%
이 5
 
7.4%
경 3
 
4.4%
진 2
 
2.9%
민 2
 
2.9%
박 2
 
2.9%
해 2
 
2.9%
태 2
 
2.9%
지 2
 
2.9%
수 2
 
2.9%
Other values (37) 40
58.8%

Most occurring scripts

ValueCountFrequency (%)
Hangul 68
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
김 6
 
8.8%
이 5
 
7.4%
경 3
 
4.4%
진 2
 
2.9%
민 2
 
2.9%
박 2
 
2.9%
해 2
 
2.9%
태 2
 
2.9%
지 2
 
2.9%
수 2
 
2.9%
Other values (37) 40
58.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 68
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
김 6
 
8.8%
이 5
 
7.4%
경 3
 
4.4%
진 2
 
2.9%
민 2
 
2.9%
박 2
 
2.9%
해 2
 
2.9%
태 2
 
2.9%
지 2
 
2.9%
수 2
 
2.9%
Other values (37) 40
58.8%

데이터 기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Memory size316.0 B
2023-08-19
23 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023-08-19
2nd row2023-08-19
3rd row2023-08-19
4th row2023-08-19
5th row2023-08-19

Common Values

ValueCountFrequency (%)
2023-08-19 23
100.0%

Length

2023-12-12T08:40:55.763132image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T08:40:55.835153image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023-08-19 23
100.0%

Interactions

2023-12-12T08:40:53.345246image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T08:40:55.897462image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번기업명분야대표자
연번1.0001.0001.0001.000
기업명1.0001.0001.0001.000
분야1.0001.0001.0001.000
대표자1.0001.0001.0001.000

Missing values

2023-12-12T08:40:53.468184image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T08:40:53.581860image/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

연번기업명분야대표자데이터 기준일자
01피플태그스튜디오로컬 미디어콘텐츠 제작 대행사엄태용2023-08-19
12빅스텝빅데이터를 활용한 자기계발목표 달성지원 플랫폼김광휘2023-08-19
23몬타나 아카데미전통디자인 활용 상품 및 박물관 교구재 개발이천수2023-08-19
34시니올라시니어 신체 상태에 맞는 개인 맞춤형 재활 솔루션지민2023-08-19
45㈜레이디하우스화장품 제조 및 화장품/창업 교육채하나2023-08-19
56㈜메타메이트메타버스 플랫폼 내 게임 및 융합 콘텐츠 개발조해성2023-08-19
67㈜에나스재활용이 가능한 친환경/안전한 조형3D프린터용 세척제권혁배2023-08-19
78㈜보헤미안유니온온라인 라이프/커리어 코칭 플랫폼백지혜2023-08-19
89키치마블플라스틱 가구 및 소품 재활용김경민2023-08-19
910㈜힐링아트느린학습자(경계선지능)의 정서교육서비스이경은2023-08-19
연번기업명분야대표자데이터 기준일자
1314수믈친환경 플라스틱과 탄소중립 성분을 활용한 저탄소 스킨케어원치윤2023-08-19
1415㈜오라코퍼레이션브랜딩&마케팅 전문 서비스박슬기2023-08-19
1516㈜소래바다꽃게모양 캐릭터 빵서진원2023-08-19
1617㈜이지에이치코리아친환경 리필세제 판매김보람2023-08-19
1718알통낙서가 작품이 되는 오픈아트NFT플랫폼전태호2023-08-19
1819창보기와인시음키트 판매 등이창복2023-08-19
1920Heart Seeker디자인 스튜디오 및 라이프 스타일 브랜드김영경2023-08-19
2021유어이모션디자인 개발&판매정해림2023-08-19
2122펀더캄머언더웨어 및 리빙 홈웨어김수정2023-08-19
2223구름WE드론체험 컨텐츠 개발(드론오락실)박소영2023-08-19