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_1인창조비즈니스센터현황_20200826
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 17:01:01.095801
Analysis finished2023-12-10 17:01:01.872696
Duration0.78 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
2023-12-11T02:01:02.356053image/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
2023-12-11T02:01:02.597564image/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
2023-12-11T02:01:02.971108image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length10
Mean length6.1153846
Min length2

Characters and Unicode

Total characters159
Distinct characters87
Distinct categories7 ?
Distinct scripts3 ?
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 row(주)제이제이앤컴퍼니스
2nd row스튜디오 로
3rd row㈜피에스폼
4th row모아그라픽스
5th row준성
ValueCountFrequency (%)
주)제이제이앤컴퍼니스 1
 
3.1%
스튜디오 1
 
3.1%
예비창업자 1
 
3.1%
제이에스에프 1
 
3.1%
머티리얼즈 1
 
3.1%
쉐카이나 1
 
3.1%
플로웨어 1
 
3.1%
삼대 1
 
3.1%
에프씨이브이 1
 
3.1%
㈜쉬러코리아 1
 
3.1%
Other values (22) 22
68.8%
2023-12-11T02:01:03.599677image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
9
 
5.7%
8
 
5.0%
8
 
5.0%
7
 
4.4%
6
 
3.8%
5
 
3.1%
4
 
2.5%
4
 
2.5%
3
 
1.9%
3
 
1.9%
Other values (77) 102
64.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 143
89.9%
Space Separator 7
 
4.4%
Other Symbol 3
 
1.9%
Open Punctuation 2
 
1.3%
Close Punctuation 2
 
1.3%
Lowercase Letter 1
 
0.6%
Dash Punctuation 1
 
0.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
9
 
6.3%
8
 
5.6%
8
 
5.6%
6
 
4.2%
5
 
3.5%
4
 
2.8%
4
 
2.8%
3
 
2.1%
3
 
2.1%
3
 
2.1%
Other values (71) 90
62.9%
Space Separator
ValueCountFrequency (%)
7
100.0%
Other Symbol
ValueCountFrequency (%)
3
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Lowercase Letter
ValueCountFrequency (%)
k 1
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 146
91.8%
Common 12
 
7.5%
Latin 1
 
0.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
9
 
6.2%
8
 
5.5%
8
 
5.5%
6
 
4.1%
5
 
3.4%
4
 
2.7%
4
 
2.7%
3
 
2.1%
3
 
2.1%
3
 
2.1%
Other values (72) 93
63.7%
Common
ValueCountFrequency (%)
7
58.3%
( 2
 
16.7%
) 2
 
16.7%
- 1
 
8.3%
Latin
ValueCountFrequency (%)
k 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 143
89.9%
ASCII 13
 
8.2%
None 3
 
1.9%

Most frequent character per block

Hangul
ValueCountFrequency (%)
9
 
6.3%
8
 
5.6%
8
 
5.6%
6
 
4.2%
5
 
3.5%
4
 
2.8%
4
 
2.8%
3
 
2.1%
3
 
2.1%
3
 
2.1%
Other values (71) 90
62.9%
ASCII
ValueCountFrequency (%)
7
53.8%
( 2
 
15.4%
) 2
 
15.4%
k 1
 
7.7%
- 1
 
7.7%
None
ValueCountFrequency (%)
3
100.0%
Distinct24
Distinct (%)92.3%
Missing0
Missing (%)0.0%
Memory size340.0 B
2023-12-11T02:01:03.927833image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters78
Distinct characters36
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique23 ?
Unique (%)88.5%

Sample

1st row전*호
2nd row김*철
3rd row이*철
4th row손*아
5th row하*범
ValueCountFrequency (%)
이*철 3
 
11.5%
전*호 1
 
3.8%
강*구 1
 
3.8%
이*헌 1
 
3.8%
전*규 1
 
3.8%
조*숙 1
 
3.8%
김*규 1
 
3.8%
정*재 1
 
3.8%
지*훈 1
 
3.8%
안*모 1
 
3.8%
Other values (14) 14
53.8%
2023-12-11T02:01:04.431950image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 26
33.3%
6
 
7.7%
4
 
5.1%
4
 
5.1%
3
 
3.8%
2
 
2.6%
2
 
2.6%
2
 
2.6%
2
 
2.6%
1
 
1.3%
Other values (26) 26
33.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 52
66.7%
Other Punctuation 26
33.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
6
 
11.5%
4
 
7.7%
4
 
7.7%
3
 
5.8%
2
 
3.8%
2
 
3.8%
2
 
3.8%
2
 
3.8%
1
 
1.9%
1
 
1.9%
Other values (25) 25
48.1%
Other Punctuation
ValueCountFrequency (%)
* 26
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 52
66.7%
Common 26
33.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
6
 
11.5%
4
 
7.7%
4
 
7.7%
3
 
5.8%
2
 
3.8%
2
 
3.8%
2
 
3.8%
2
 
3.8%
1
 
1.9%
1
 
1.9%
Other values (25) 25
48.1%
Common
ValueCountFrequency (%)
* 26
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 52
66.7%
ASCII 26
33.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 26
100.0%
Hangul
ValueCountFrequency (%)
6
 
11.5%
4
 
7.7%
4
 
7.7%
3
 
5.8%
2
 
3.8%
2
 
3.8%
2
 
3.8%
2
 
3.8%
1
 
1.9%
1
 
1.9%
Other values (25) 25
48.1%
Distinct22
Distinct (%)84.6%
Missing0
Missing (%)0.0%
Memory size340.0 B
2023-12-11T02:01:04.891094image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length40
Median length21
Mean length14.307692
Min length3

Characters and Unicode

Total characters372
Distinct characters104
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

Unique19 ?
Unique (%)73.1%

Sample

1st row선박구성부분 및 시스템 소프트웨어개발공급업
2nd row스마트폰게임개발
3rd row상처 및 흉터관리제품 제조, 판매
4th row일반인쇄물
5th row현수막, 인쇄제작
ValueCountFrequency (%)
7
 
10.9%
개발 5
 
7.8%
전자상거래업 4
 
6.2%
소프트웨어 4
 
6.2%
공급업 2
 
3.1%
시스템 2
 
3.1%
일반인쇄물 2
 
3.1%
운동 1
 
1.6%
블록 1
 
1.6%
웹앱개발 1
 
1.6%
Other values (35) 35
54.7%
2023-12-11T02:01:05.564081image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
39
 
10.5%
, 21
 
5.6%
14
 
3.8%
13
 
3.5%
11
 
3.0%
11
 
3.0%
11
 
3.0%
10
 
2.7%
10
 
2.7%
10
 
2.7%
Other values (94) 222
59.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 308
82.8%
Space Separator 39
 
10.5%
Other Punctuation 23
 
6.2%
Decimal Number 1
 
0.3%
Uppercase Letter 1
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
14
 
4.5%
13
 
4.2%
11
 
3.6%
11
 
3.6%
11
 
3.6%
10
 
3.2%
10
 
3.2%
10
 
3.2%
9
 
2.9%
9
 
2.9%
Other values (89) 200
64.9%
Other Punctuation
ValueCountFrequency (%)
, 21
91.3%
/ 2
 
8.7%
Space Separator
ValueCountFrequency (%)
39
100.0%
Decimal Number
ValueCountFrequency (%)
3 1
100.0%
Uppercase Letter
ValueCountFrequency (%)
D 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 308
82.8%
Common 63
 
16.9%
Latin 1
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
14
 
4.5%
13
 
4.2%
11
 
3.6%
11
 
3.6%
11
 
3.6%
10
 
3.2%
10
 
3.2%
10
 
3.2%
9
 
2.9%
9
 
2.9%
Other values (89) 200
64.9%
Common
ValueCountFrequency (%)
39
61.9%
, 21
33.3%
/ 2
 
3.2%
3 1
 
1.6%
Latin
ValueCountFrequency (%)
D 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 308
82.8%
ASCII 64
 
17.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
39
60.9%
, 21
32.8%
/ 2
 
3.1%
3 1
 
1.6%
D 1
 
1.6%
Hangul
ValueCountFrequency (%)
14
 
4.5%
13
 
4.2%
11
 
3.6%
11
 
3.6%
11
 
3.6%
10
 
3.2%
10
 
3.2%
10
 
3.2%
9
 
2.9%
9
 
2.9%
Other values (89) 200
64.9%

Interactions

2023-12-11T02:01:01.462930image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T02:01:05.719587image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번입주 기업명대표자명업 종
순번1.0001.0000.8920.896
입주 기업명1.0001.0001.0001.000
대표자명0.8921.0001.0000.929
업 종0.8961.0000.9291.000

Missing values

2023-12-11T02:01:01.699278image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T02:01:01.815852image/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
01(주)제이제이앤컴퍼니스전*호선박구성부분 및 시스템 소프트웨어개발공급업
12스튜디오 로김*철스마트폰게임개발
23㈜피에스폼이*철상처 및 흉터관리제품 제조, 판매
34모아그라픽스손*아일반인쇄물
45준성하*범현수막, 인쇄제작
56디자인정정*숙일반인쇄물
67우진엠엔에스김*현응용소프트웨어제작및개발모형,3D프린터
78인디솔루션김*우전기/전자제어보드,전자부품, 전기/전자 제어 하드웨어 및 소프트웨어 개발
89디자인 레전드전*선도서출판인쇄,전자상거래,사진,영상
910디온시스템유*늘응용소프트웨어개발및공급업
순번입주 기업명대표자명업 종
1617프리모엠 소프트김*연소프트웨어 개발
1718㈜바다플랫폼안*모시스템 소프트웨어 개발 및 공급업
1819㈜쉬러코리아지*훈전자상거래업
1920에프씨이브이정*재전자상거래업
2021삼대김*규웹앱개발
2122플로웨어이*철응용소프트웨어 개발 및 공급업
2223쉐카이나 머티리얼즈조*숙콘크리트 타일, 기와, 벽돌 및 블록 제조업
2324제이에스에프전*규화장품
2425예비창업자이*헌광고, 인쇄
2526트라이베네핏김*휘기타 가정용 전기기기, 운동 및 경기용품, 전자상거래