Overview

Dataset statistics

Number of variables4
Number of observations26
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory990.0 B
Average record size in memory38.1 B

Variable types

Numeric1
Text3

Dataset

Description부산광역시해운대구_해운대창조비즈니스센터(1인창조기업지원센터)현황_20220921
Author부산광역시 해운대구
URLhttp://data.busan.go.kr/dataSet/detail.nm?contentId=10&publicdatapk=3075328

Alerts

순번 has unique valuesUnique
입주 기업명 has unique valuesUnique

Reproduction

Analysis started2023-12-10 17:00:46.436643
Analysis finished2023-12-10 17:00:47.077420
Duration0.64 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

순번
Real number (ℝ)

UNIQUE 

Distinct26
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean13.5
Minimum1
Maximum26
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size366.0 B
2023-12-11T02:00:47.179799image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2.25
Q17.25
median13.5
Q319.75
95-th percentile24.75
Maximum26
Range25
Interquartile range (IQR)12.5

Descriptive statistics

Standard deviation7.6485293
Coefficient of variation (CV)0.56655772
Kurtosis-1.2
Mean13.5
Median Absolute Deviation (MAD)6.5
Skewness0
Sum351
Variance58.5
MonotonicityStrictly increasing
2023-12-11T02:00:47.399049image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
1 1
 
3.8%
15 1
 
3.8%
26 1
 
3.8%
25 1
 
3.8%
24 1
 
3.8%
23 1
 
3.8%
22 1
 
3.8%
21 1
 
3.8%
20 1
 
3.8%
19 1
 
3.8%
Other values (16) 16
61.5%
ValueCountFrequency (%)
1 1
3.8%
2 1
3.8%
3 1
3.8%
4 1
3.8%
5 1
3.8%
6 1
3.8%
7 1
3.8%
8 1
3.8%
9 1
3.8%
10 1
3.8%
ValueCountFrequency (%)
26 1
3.8%
25 1
3.8%
24 1
3.8%
23 1
3.8%
22 1
3.8%
21 1
3.8%
20 1
3.8%
19 1
3.8%
18 1
3.8%
17 1
3.8%

입주 기업명
Text

UNIQUE 

Distinct26
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size340.0 B
2023-12-11T02:00:47.726464image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length9.5
Mean length5.5769231
Min length2

Characters and Unicode

Total characters145
Distinct characters90
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique26 ?
Unique (%)100.0%

Sample

1st row올인원진텍
2nd row루시드라인
3rd row더푸름 컴퍼니
4th row㈜바다플랫폼
5th row런드리샤워코리아㈜
ValueCountFrequency (%)
올인원진텍 1
 
3.3%
루시드라인 1
 
3.3%
출판 1
 
3.3%
영상미디어 1
 
3.3%
티엠 1
 
3.3%
와우기획 1
 
3.3%
주)케이피컴퍼니 1
 
3.3%
더그린 1
 
3.3%
수연장독 1
 
3.3%
에스앤에스프로 1
 
3.3%
Other values (20) 20
66.7%
2023-12-11T02:00:48.230178image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
8
 
5.5%
5
 
3.4%
4
 
2.8%
4
 
2.8%
4
 
2.8%
3
 
2.1%
3
 
2.1%
3
 
2.1%
3
 
2.1%
3
 
2.1%
Other values (80) 105
72.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 131
90.3%
Space Separator 4
 
2.8%
Other Symbol 3
 
2.1%
Decimal Number 3
 
2.1%
Open Punctuation 2
 
1.4%
Close Punctuation 2
 
1.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
8
 
6.1%
5
 
3.8%
4
 
3.1%
4
 
3.1%
3
 
2.3%
3
 
2.3%
3
 
2.3%
3
 
2.3%
3
 
2.3%
3
 
2.3%
Other values (73) 92
70.2%
Decimal Number
ValueCountFrequency (%)
2 1
33.3%
1 1
33.3%
5 1
33.3%
Space Separator
ValueCountFrequency (%)
4
100.0%
Other Symbol
ValueCountFrequency (%)
3
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 134
92.4%
Common 11
 
7.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
8
 
6.0%
5
 
3.7%
4
 
3.0%
4
 
3.0%
3
 
2.2%
3
 
2.2%
3
 
2.2%
3
 
2.2%
3
 
2.2%
3
 
2.2%
Other values (74) 95
70.9%
Common
ValueCountFrequency (%)
4
36.4%
( 2
18.2%
) 2
18.2%
2 1
 
9.1%
1 1
 
9.1%
5 1
 
9.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 131
90.3%
ASCII 11
 
7.6%
None 3
 
2.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
8
 
6.1%
5
 
3.8%
4
 
3.1%
4
 
3.1%
3
 
2.3%
3
 
2.3%
3
 
2.3%
3
 
2.3%
3
 
2.3%
3
 
2.3%
Other values (73) 92
70.2%
ASCII
ValueCountFrequency (%)
4
36.4%
( 2
18.2%
) 2
18.2%
2 1
 
9.1%
1 1
 
9.1%
5 1
 
9.1%
None
ValueCountFrequency (%)
3
100.0%
Distinct25
Distinct (%)96.2%
Missing0
Missing (%)0.0%
Memory size340.0 B
2023-12-11T02:00:48.463420image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length3
Mean length3.1923077
Min length3

Characters and Unicode

Total characters83
Distinct characters38
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique24 ?
Unique (%)92.3%

Sample

1st row한*성
2nd row최*우
3rd row허*민
4th row안*모
5th row정*지
ValueCountFrequency (%)
정*지 2
 
7.4%
김*원 1
 
3.7%
이*도 1
 
3.7%
김*석 1
 
3.7%
정*택 1
 
3.7%
양*형 1
 
3.7%
이*빈외1 1
 
3.7%
최*경 1
 
3.7%
박*욱 1
 
3.7%
김*성 1
 
3.7%
Other values (16) 16
59.3%
2023-12-11T02:00:48.848160image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 26
31.3%
8
 
9.6%
4
 
4.8%
3
 
3.6%
2
 
2.4%
2
 
2.4%
1 2
 
2.4%
2
 
2.4%
2
 
2.4%
2
 
2.4%
Other values (28) 30
36.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 54
65.1%
Other Punctuation 26
31.3%
Decimal Number 2
 
2.4%
Space Separator 1
 
1.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
8
 
14.8%
4
 
7.4%
3
 
5.6%
2
 
3.7%
2
 
3.7%
2
 
3.7%
2
 
3.7%
2
 
3.7%
2
 
3.7%
2
 
3.7%
Other values (25) 25
46.3%
Other Punctuation
ValueCountFrequency (%)
* 26
100.0%
Decimal Number
ValueCountFrequency (%)
1 2
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 54
65.1%
Common 29
34.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
8
 
14.8%
4
 
7.4%
3
 
5.6%
2
 
3.7%
2
 
3.7%
2
 
3.7%
2
 
3.7%
2
 
3.7%
2
 
3.7%
2
 
3.7%
Other values (25) 25
46.3%
Common
ValueCountFrequency (%)
* 26
89.7%
1 2
 
6.9%
1
 
3.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 54
65.1%
ASCII 29
34.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 26
89.7%
1 2
 
6.9%
1
 
3.4%
Hangul
ValueCountFrequency (%)
8
 
14.8%
4
 
7.4%
3
 
5.6%
2
 
3.7%
2
 
3.7%
2
 
3.7%
2
 
3.7%
2
 
3.7%
2
 
3.7%
2
 
3.7%
Other values (25) 25
46.3%

업종
Text

Distinct24
Distinct (%)92.3%
Missing0
Missing (%)0.0%
Memory size340.0 B
2023-12-11T02:00:49.156636image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length50
Median length19
Mean length16.5
Min length3

Characters and Unicode

Total characters429
Distinct characters110
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

Unique22 ?
Unique (%)84.6%

Sample

1st row수산연구개발, 유전자분석, 수산연구용시약
2nd row가죽코팅제품, 가죽코팅, 전자상거래업
3rd row위탁교육,광고대행및홍보영상디자인
4th row시스템 소프트웨어 개발 및 공급업
5th row세제,세탁중개업
ValueCountFrequency (%)
전자상거래 5
 
6.5%
4
 
5.2%
전자상거래업 3
 
3.9%
공급업 2
 
2.6%
디자인 2
 
2.6%
대행업 2
 
2.6%
소매업 2
 
2.6%
기계장비제작 2
 
2.6%
제조업 2
 
2.6%
개발 2
 
2.6%
Other values (48) 51
66.2%
2023-12-11T02:00:49.622827image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
51
 
11.9%
, 34
 
7.9%
17
 
4.0%
17
 
4.0%
16
 
3.7%
14
 
3.3%
13
 
3.0%
10
 
2.3%
9
 
2.1%
9
 
2.1%
Other values (100) 239
55.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 343
80.0%
Space Separator 51
 
11.9%
Other Punctuation 35
 
8.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
17
 
5.0%
17
 
5.0%
16
 
4.7%
14
 
4.1%
13
 
3.8%
10
 
2.9%
9
 
2.6%
9
 
2.6%
7
 
2.0%
7
 
2.0%
Other values (97) 224
65.3%
Other Punctuation
ValueCountFrequency (%)
, 34
97.1%
: 1
 
2.9%
Space Separator
ValueCountFrequency (%)
51
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 343
80.0%
Common 86
 
20.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
17
 
5.0%
17
 
5.0%
16
 
4.7%
14
 
4.1%
13
 
3.8%
10
 
2.9%
9
 
2.6%
9
 
2.6%
7
 
2.0%
7
 
2.0%
Other values (97) 224
65.3%
Common
ValueCountFrequency (%)
51
59.3%
, 34
39.5%
: 1
 
1.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 343
80.0%
ASCII 86
 
20.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
51
59.3%
, 34
39.5%
: 1
 
1.2%
Hangul
ValueCountFrequency (%)
17
 
5.0%
17
 
5.0%
16
 
4.7%
14
 
4.1%
13
 
3.8%
10
 
2.9%
9
 
2.6%
9
 
2.6%
7
 
2.0%
7
 
2.0%
Other values (97) 224
65.3%

Interactions

2023-12-11T02:00:46.727578image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T02:00:49.739193image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번입주 기업명대표자명업종
순번1.0001.0000.9160.968
입주 기업명1.0001.0001.0001.000
대표자명0.9161.0001.0000.962
업종0.9681.0000.9621.000

Missing values

2023-12-11T02:00:46.887887image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T02:00:47.025907image/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 기업명대표자명업종
01올인원진텍한*성수산연구개발, 유전자분석, 수산연구용시약
12루시드라인최*우가죽코팅제품, 가죽코팅, 전자상거래업
23더푸름 컴퍼니허*민위탁교육,광고대행및홍보영상디자인
34㈜바다플랫폼안*모시스템 소프트웨어 개발 및 공급업
45런드리샤워코리아㈜정*지세제,세탁중개업
56후파파김*광전자상거래업
67㈜머글거리김*홍전자상거래업
78엘이이원이*형금속단조제품 제조업
89조비215주*동전자상거래
910코리아아트컴퍼니이*훈행사대행,인테리어,인테리어 디자인,광고 대행업, 유튜브 교육, 포스터 디자인, 엔터테인먼트
순번입주 기업명대표자명업종
1617보다고*욱기획및광고대행,상업사진및영상제작
1718주호가람김*성응용 소프트웨어 개발 및 공급업
1819제이엠티박*욱프로그램 개발,전시 및 행사 대행업
1920에스앤에스프로최*경전자상거래, 잡화, 기타 상품 중개업, 무역, 홈페이지제작, 영화
2021수연장독이*빈외1즉석판매 제조, 가공, 전자상거래 소매업
2122더그린정*지방역용품, 방역약품 외 의약외품
2223(주)케이피컴퍼니양*형전자상거래 소매업
2324와우기획정*택방송영상제작, 전시컨벤션 및 행사대행업
2425티엠 영상미디어 출판김*석:메타버스 강의, 영상물 제작, 유통
2526파시주식회사윤*균기계장비제작, 자동화설비