Overview

Dataset statistics

Number of variables4
Number of observations29
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.1 KiB
Average record size in memory37.6 B

Variable types

Numeric1
Text3

Dataset

Description부산광역시_해운대구_창조비즈니스센터현황_20190830
Author부산광역시 해운대구
URLhttp://data.busan.go.kr/dataSet/detail.nm?contentId=10&publicdatapk=3075328

Alerts

순번 has unique valuesUnique

Reproduction

Analysis started2023-12-10 17:00:40.043060
Analysis finished2023-12-10 17:00:41.435499
Duration1.39 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

순번
Real number (ℝ)

UNIQUE 

Distinct29
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean15
Minimum1
Maximum29
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-11T02:00:41.574945image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2.4
Q18
median15
Q322
95-th percentile27.6
Maximum29
Range28
Interquartile range (IQR)14

Descriptive statistics

Standard deviation8.5146932
Coefficient of variation (CV)0.56764621
Kurtosis-1.2
Mean15
Median Absolute Deviation (MAD)7
Skewness0
Sum435
Variance72.5
MonotonicityStrictly increasing
2023-12-11T02:00:41.914017image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
1 1
 
3.4%
2 1
 
3.4%
29 1
 
3.4%
28 1
 
3.4%
27 1
 
3.4%
26 1
 
3.4%
25 1
 
3.4%
24 1
 
3.4%
23 1
 
3.4%
22 1
 
3.4%
Other values (19) 19
65.5%
ValueCountFrequency (%)
1 1
3.4%
2 1
3.4%
3 1
3.4%
4 1
3.4%
5 1
3.4%
6 1
3.4%
7 1
3.4%
8 1
3.4%
9 1
3.4%
10 1
3.4%
ValueCountFrequency (%)
29 1
3.4%
28 1
3.4%
27 1
3.4%
26 1
3.4%
25 1
3.4%
24 1
3.4%
23 1
3.4%
22 1
3.4%
21 1
3.4%
20 1
3.4%

입주 기업명
Text

Distinct27
Distinct (%)93.1%
Missing0
Missing (%)0.0%
Memory size364.0 B
2023-12-11T02:00:42.293347image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length6.2758621
Min length1

Characters and Unicode

Total characters182
Distinct characters91
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

Unique25 ?
Unique (%)86.2%

Sample

1st row비바팜(VIVAFARM)
2nd row케이에이치오(KHO)
3rd rowG-MEDIA(지미디어)
4th rowIDMS(아이디엠에스)
5th row뉴트리바디
ValueCountFrequency (%)
뉴트리바디 2
 
6.2%
예비창업자 2
 
6.2%
비바팜(vivafarm 1
 
3.1%
모아그라픽스 1
 
3.1%
허니비 1
 
3.1%
플라잉 1
 
3.1%
디온시스템 1
 
3.1%
레전드 1
 
3.1%
디자인 1
 
3.1%
인디솔루션 1
 
3.1%
Other values (20) 20
62.5%
2023-12-11T02:00:43.043780image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
스 13
 
7.1%
디 9
 
4.9%
이 7
 
3.8%
) 6
 
3.3%
( 6
 
3.3%
리 5
 
2.7%
I 5
 
2.7%
에 4
 
2.2%
A 4
 
2.2%
M 4
 
2.2%
Other values (81) 119
65.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 134
73.6%
Uppercase Letter 28
 
15.4%
Close Punctuation 6
 
3.3%
Open Punctuation 6
 
3.3%
Space Separator 4
 
2.2%
Other Symbol 2
 
1.1%
Decimal Number 1
 
0.5%
Dash Punctuation 1
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
스 13
 
9.7%
디 9
 
6.7%
이 7
 
5.2%
리 5
 
3.7%
에 4
 
3.0%
인 4
 
3.0%
비 4
 
3.0%
자 4
 
3.0%
업 3
 
2.2%
바 3
 
2.2%
Other values (59) 78
58.2%
Uppercase Letter
ValueCountFrequency (%)
I 5
17.9%
A 4
14.3%
M 4
14.3%
V 2
 
7.1%
D 2
 
7.1%
N 1
 
3.6%
X 1
 
3.6%
U 1
 
3.6%
F 1
 
3.6%
R 1
 
3.6%
Other values (6) 6
21.4%
Close Punctuation
ValueCountFrequency (%)
) 6
100.0%
Open Punctuation
ValueCountFrequency (%)
( 6
100.0%
Space Separator
ValueCountFrequency (%)
4
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 2
100.0%
Decimal Number
ValueCountFrequency (%)
7 1
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 136
74.7%
Latin 28
 
15.4%
Common 18
 
9.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
스 13
 
9.6%
디 9
 
6.6%
이 7
 
5.1%
리 5
 
3.7%
에 4
 
2.9%
인 4
 
2.9%
비 4
 
2.9%
자 4
 
2.9%
업 3
 
2.2%
바 3
 
2.2%
Other values (60) 80
58.8%
Latin
ValueCountFrequency (%)
I 5
17.9%
A 4
14.3%
M 4
14.3%
V 2
 
7.1%
D 2
 
7.1%
N 1
 
3.6%
X 1
 
3.6%
U 1
 
3.6%
F 1
 
3.6%
R 1
 
3.6%
Other values (6) 6
21.4%
Common
ValueCountFrequency (%)
) 6
33.3%
( 6
33.3%
4
22.2%
7 1
 
5.6%
- 1
 
5.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 134
73.6%
ASCII 46
 
25.3%
None 2
 
1.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
스 13
 
9.7%
디 9
 
6.7%
이 7
 
5.2%
리 5
 
3.7%
에 4
 
3.0%
인 4
 
3.0%
비 4
 
3.0%
자 4
 
3.0%
업 3
 
2.2%
바 3
 
2.2%
Other values (59) 78
58.2%
ASCII
ValueCountFrequency (%)
) 6
13.0%
( 6
13.0%
I 5
10.9%
A 4
 
8.7%
M 4
 
8.7%
4
 
8.7%
V 2
 
4.3%
D 2
 
4.3%
N 1
 
2.2%
X 1
 
2.2%
Other values (11) 11
23.9%
None
ValueCountFrequency (%)
㈜ 2
100.0%

대표자명
Text

Distinct27
Distinct (%)93.1%
Missing0
Missing (%)0.0%
Memory size364.0 B
2023-12-11T02:00:43.453512image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length3
Mean length3.2758621
Min length3

Characters and Unicode

Total characters95
Distinct characters40
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

Unique25 ?
Unique (%)86.2%

Sample

1st row이*호
2nd row김*근
3rd row김*현
4th row이*민
5th row변*동
ValueCountFrequency (%)
김*현 2
 
6.5%
변*동 2
 
6.5%
최*우 1
 
3.2%
이*호 1
 
3.2%
하*범 1
 
3.2%
정*영 1
 
3.2%
유*늘 1
 
3.2%
전*선 1
 
3.2%
김*희 1
 
3.2%
김*향 1
 
3.2%
Other values (19) 19
61.3%
2023-12-11T02:00:44.046733image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 30
31.6%
김 8
 
8.4%
이 4
 
4.2%
정 4
 
4.2%
3
 
3.2%
동 3
 
3.2%
철 3
 
3.2%
손 2
 
2.1%
호 2
 
2.1%
전 2
 
2.1%
Other values (30) 34
35.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 62
65.3%
Other Punctuation 30
31.6%
Space Separator 3
 
3.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
김 8
 
12.9%
이 4
 
6.5%
정 4
 
6.5%
동 3
 
4.8%
철 3
 
4.8%
손 2
 
3.2%
호 2
 
3.2%
전 2
 
3.2%
우 2
 
3.2%
민 2
 
3.2%
Other values (28) 30
48.4%
Other Punctuation
ValueCountFrequency (%)
* 30
100.0%
Space Separator
ValueCountFrequency (%)
3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 62
65.3%
Common 33
34.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
김 8
 
12.9%
이 4
 
6.5%
정 4
 
6.5%
동 3
 
4.8%
철 3
 
4.8%
손 2
 
3.2%
호 2
 
3.2%
전 2
 
3.2%
우 2
 
3.2%
민 2
 
3.2%
Other values (28) 30
48.4%
Common
ValueCountFrequency (%)
* 30
90.9%
3
 
9.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 62
65.3%
ASCII 33
34.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 30
90.9%
3
 
9.1%
Hangul
ValueCountFrequency (%)
김 8
 
12.9%
이 4
 
6.5%
정 4
 
6.5%
동 3
 
4.8%
철 3
 
4.8%
손 2
 
3.2%
호 2
 
3.2%
전 2
 
3.2%
우 2
 
3.2%
민 2
 
3.2%
Other values (28) 30
48.4%

업 종
Text

Distinct27
Distinct (%)93.1%
Missing0
Missing (%)0.0%
Memory size364.0 B
2023-12-11T02:00:44.476089image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length40
Median length17
Mean length12.448276
Min length4

Characters and Unicode

Total characters361
Distinct characters122
Distinct categories5 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique25 ?
Unique (%)86.2%

Sample

1st row수입식품판매, 무역
2nd row해양물품운반장비
3rd row영상장비, 음향장비, 영상관련교육
4th row3D프린팅을 활용한 스마트디바이스 개발
5th row기타분류상품전문소매업
ValueCountFrequency (%)
일반인쇄물 2
 
4.0%
개발 2
 
4.0%
전자상거래업 2
 
4.0%
무역 1
 
2.0%
제어 1
 
2.0%
상처및흉터관리제품 1
 
2.0%
현수막 1
 
2.0%
인쇄제작 1
 
2.0%
응용소프트웨어제작및개발모형,3d프린터 1
 
2.0%
3d프린터를활용한시제품및상품제조 1
 
2.0%
Other values (37) 37
74.0%
2023-12-11T02:00:45.147152image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
22
 
6.1%
, 15
 
4.2%
전 13
 
3.6%
자 12
 
3.3%
상 12
 
3.3%
품 10
 
2.8%
및 9
 
2.5%
개 9
 
2.5%
제 9
 
2.5%
업 9
 
2.5%
Other values (112) 241
66.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 316
87.5%
Space Separator 22
 
6.1%
Other Punctuation 17
 
4.7%
Uppercase Letter 3
 
0.8%
Decimal Number 3
 
0.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
전 13
 
4.1%
자 12
 
3.8%
상 12
 
3.8%
품 10
 
3.2%
및 9
 
2.8%
개 9
 
2.8%
제 9
 
2.8%
업 9
 
2.8%
프 7
 
2.2%
발 7
 
2.2%
Other values (107) 219
69.3%
Other Punctuation
ValueCountFrequency (%)
, 15
88.2%
/ 2
 
11.8%
Space Separator
ValueCountFrequency (%)
22
100.0%
Uppercase Letter
ValueCountFrequency (%)
D 3
100.0%
Decimal Number
ValueCountFrequency (%)
3 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 316
87.5%
Common 42
 
11.6%
Latin 3
 
0.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
전 13
 
4.1%
자 12
 
3.8%
상 12
 
3.8%
품 10
 
3.2%
및 9
 
2.8%
개 9
 
2.8%
제 9
 
2.8%
업 9
 
2.8%
프 7
 
2.2%
발 7
 
2.2%
Other values (107) 219
69.3%
Common
ValueCountFrequency (%)
22
52.4%
, 15
35.7%
3 3
 
7.1%
/ 2
 
4.8%
Latin
ValueCountFrequency (%)
D 3
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 316
87.5%
ASCII 45
 
12.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
22
48.9%
, 15
33.3%
D 3
 
6.7%
3 3
 
6.7%
/ 2
 
4.4%
Hangul
ValueCountFrequency (%)
전 13
 
4.1%
자 12
 
3.8%
상 12
 
3.8%
품 10
 
3.2%
및 9
 
2.8%
개 9
 
2.8%
제 9
 
2.8%
업 9
 
2.8%
프 7
 
2.2%
발 7
 
2.2%
Other values (107) 219
69.3%

Interactions

2023-12-11T02:00:40.971375image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T02:00:45.546268image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번입주 기업명대표자명업 종
순번1.0000.8610.8610.963
입주 기업명0.8611.0000.9960.962
대표자명0.8610.9961.0000.962
업 종0.9630.9620.9621.000

Missing values

2023-12-11T02:00:41.203631image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T02:00:41.365304image/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

순번입주 기업명대표자명업 종
01비바팜(VIVAFARM)이*호수입식품판매, 무역
12케이에이치오(KHO)김*근해양물품운반장비
23G-MEDIA(지미디어)김*현영상장비, 음향장비, 영상관련교육
34IDMS(아이디엠에스)이*민3D프린팅을 활용한 스마트디바이스 개발
45뉴트리바디변*동기타분류상품전문소매업
56창업플러스정*철사업및무형재산권 중개 서비스
67리스토리허*진화장품,전자상거래
78펠리스안*지실버콘텐츠 제작
89정진푸드양*민식자재 외 치즈
910랩7권*미콘텐츠 기획및 교육
순번입주 기업명대표자명업 종
1920오마이쇼퍼정*윤전자상거래업
2021뜻김*엽 이*규 공동전자상거래업,광고대행업
2122인디솔루션김*우전기/전자제어보드,전자부품, 전기/전자 제어 하드웨어 및 소프트웨어 개발
2223예비창업자김*향액세서리디자인및제조
2324예비창업자김*희연극단체
2425디자인 레전드전*선도서출판인쇄,전자상거래,사진,영상
2526디온시스템유*늘응용소프트웨어개발및공급업
2627플라잉 허니비정*영전자상거래업
2728올인원시스한*성수산연구개발,유전자분석,수산연구용시약
2829뉴트리바디변*동식품기계, 가공식품