Overview

Dataset statistics

Number of variables5
Number of observations48
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.1 KiB
Average record size in memory43.8 B

Variable types

Numeric1
Categorical1
Text3

Dataset

Description전국에 위치한 비즈니스센터 지역, 전국에 위치한 비즈니스센터 센터명, 전국에 위치한 비즈니스센터 주소, 전국에 위치한 비즈니스센터 연락처 정보
Author창업진흥원
URLhttps://www.data.go.kr/data/3036719/fileData.do

Alerts

순번 is highly overall correlated with 지역High correlation
지역 is highly overall correlated with 순번High correlation
순번 has unique valuesUnique
센터명 has unique valuesUnique
주소 has unique valuesUnique
연락처 has unique valuesUnique

Reproduction

Analysis started2023-12-12 18:28:04.765458
Analysis finished2023-12-12 18:28:05.294500
Duration0.53 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

순번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct48
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean24.5
Minimum1
Maximum48
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size564.0 B
2023-12-13T03:28:05.371654image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3.35
Q112.75
median24.5
Q336.25
95-th percentile45.65
Maximum48
Range47
Interquartile range (IQR)23.5

Descriptive statistics

Standard deviation14
Coefficient of variation (CV)0.57142857
Kurtosis-1.2
Mean24.5
Median Absolute Deviation (MAD)12
Skewness0
Sum1176
Variance196
MonotonicityStrictly increasing
2023-12-13T03:28:05.535559image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=48)
ValueCountFrequency (%)
1 1
 
2.1%
26 1
 
2.1%
28 1
 
2.1%
29 1
 
2.1%
30 1
 
2.1%
31 1
 
2.1%
32 1
 
2.1%
33 1
 
2.1%
34 1
 
2.1%
35 1
 
2.1%
Other values (38) 38
79.2%
ValueCountFrequency (%)
1 1
2.1%
2 1
2.1%
3 1
2.1%
4 1
2.1%
5 1
2.1%
6 1
2.1%
7 1
2.1%
8 1
2.1%
9 1
2.1%
10 1
2.1%
ValueCountFrequency (%)
48 1
2.1%
47 1
2.1%
46 1
2.1%
45 1
2.1%
44 1
2.1%
43 1
2.1%
42 1
2.1%
41 1
2.1%
40 1
2.1%
39 1
2.1%

지역
Categorical

HIGH CORRELATION 

Distinct15
Distinct (%)31.2%
Missing0
Missing (%)0.0%
Memory size516.0 B
서울
11 
경기
9 
경북
4 
대구
4 
부산
4 
Other values (10)
16 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique6 ?
Unique (%)12.5%

Sample

1st row강원
2nd row강원
3rd row경기
4th row경기
5th row경기

Common Values

ValueCountFrequency (%)
서울 11
22.9%
경기 9
18.8%
경북 4
 
8.3%
대구 4
 
8.3%
부산 4
 
8.3%
경남 3
 
6.2%
전남 3
 
6.2%
강원 2
 
4.2%
인천 2
 
4.2%
광주 1
 
2.1%
Other values (5) 5
10.4%

Length

2023-12-13T03:28:05.962860image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
서울 11
22.9%
경기 9
18.8%
경북 4
 
8.3%
대구 4
 
8.3%
부산 4
 
8.3%
경남 3
 
6.2%
전남 3
 
6.2%
강원 2
 
4.2%
인천 2
 
4.2%
광주 1
 
2.1%
Other values (5) 5
10.4%

센터명
Text

UNIQUE 

Distinct48
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size516.0 B
2023-12-13T03:28:06.178540image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length17
Mean length12.104167
Min length3

Characters and Unicode

Total characters581
Distinct characters138
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

Unique48 ?
Unique (%)100.0%

Sample

1st row강릉시
2nd row강원정보문화진흥원
3rd row의정부시(신한대학교 산학협력단)
4th row의왕시(한국교통대학교 산학협력단)
5th row용인시산업진흥원
ValueCountFrequency (%)
산학협력단 7
 
11.1%
대구광역시 2
 
3.2%
주식회사 2
 
3.2%
㈜ 1
 
1.6%
해운대구청 1
 
1.6%
주)하우투비즈 1
 
1.6%
코너스톤웍스 1
 
1.6%
더이노베이터㈜ 1
 
1.6%
서울시 1
 
1.6%
성북구(서울상공회의소 1
 
1.6%
Other values (45) 45
71.4%
2023-12-13T03:28:06.530344image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
( 24
 
4.1%
) 24
 
4.1%
원 23
 
4.0%
산 21
 
3.6%
시 17
 
2.9%
학 15
 
2.6%
15
 
2.6%
진 15
 
2.6%
흥 15
 
2.6%
업 15
 
2.6%
Other values (128) 397
68.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 506
87.1%
Open Punctuation 24
 
4.1%
Close Punctuation 24
 
4.1%
Space Separator 15
 
2.6%
Other Symbol 9
 
1.5%
Uppercase Letter 3
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
원 23
 
4.5%
산 21
 
4.2%
시 17
 
3.4%
학 15
 
3.0%
진 15
 
3.0%
흥 15
 
3.0%
업 15
 
3.0%
스 12
 
2.4%
대 12
 
2.4%
협 10
 
2.0%
Other values (121) 351
69.4%
Uppercase Letter
ValueCountFrequency (%)
T 1
33.3%
C 1
33.3%
I 1
33.3%
Open Punctuation
ValueCountFrequency (%)
( 24
100.0%
Close Punctuation
ValueCountFrequency (%)
) 24
100.0%
Space Separator
ValueCountFrequency (%)
15
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 9
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 515
88.6%
Common 63
 
10.8%
Latin 3
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
원 23
 
4.5%
산 21
 
4.1%
시 17
 
3.3%
학 15
 
2.9%
진 15
 
2.9%
흥 15
 
2.9%
업 15
 
2.9%
스 12
 
2.3%
대 12
 
2.3%
협 10
 
1.9%
Other values (122) 360
69.9%
Common
ValueCountFrequency (%)
( 24
38.1%
) 24
38.1%
15
23.8%
Latin
ValueCountFrequency (%)
T 1
33.3%
C 1
33.3%
I 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 506
87.1%
ASCII 66
 
11.4%
None 9
 
1.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
( 24
36.4%
) 24
36.4%
15
22.7%
T 1
 
1.5%
C 1
 
1.5%
I 1
 
1.5%
Hangul
ValueCountFrequency (%)
원 23
 
4.5%
산 21
 
4.2%
시 17
 
3.4%
학 15
 
3.0%
진 15
 
3.0%
흥 15
 
3.0%
업 15
 
3.0%
스 12
 
2.4%
대 12
 
2.4%
협 10
 
2.0%
Other values (121) 351
69.4%
None
ValueCountFrequency (%)
㈜ 9
100.0%

주소
Text

UNIQUE 

Distinct48
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size516.0 B
2023-12-13T03:28:06.791788image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length48
Median length34.5
Mean length29.25
Min length16

Characters and Unicode

Total characters1404
Distinct characters200
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique48 ?
Unique (%)100.0%

Sample

1st row강원도 강릉시 경강로 2326번길 4, 1인창조기업지원센터
2nd row강원도 춘천시 공지로 305, 4층
3rd row경기도 의정부시 산단로76번길 89, 의정부시 중소기업지원센터 1층
4th row경기도 의왕시 안양판교로 82, 포일어울림센터 8층
5th row경기도 용인시 기흥구 동백중앙로245, 동백문월드 215호
ValueCountFrequency (%)
경기도 9
 
3.1%
서울시 8
 
2.7%
대구광역시 4
 
1.4%
강남구 4
 
1.4%
6층 3
 
1.0%
3층 3
 
1.0%
4층 3
 
1.0%
서울특별시 3
 
1.0%
9층 3
 
1.0%
마포구 3
 
1.0%
Other values (225) 251
85.4%
2023-12-13T03:28:07.184255image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
248
 
17.7%
시 49
 
3.5%
1 47
 
3.3%
로 46
 
3.3%
구 41
 
2.9%
층 33
 
2.4%
2 31
 
2.2%
, 27
 
1.9%
3 26
 
1.9%
동 24
 
1.7%
Other values (190) 832
59.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 845
60.2%
Space Separator 248
 
17.7%
Decimal Number 235
 
16.7%
Other Punctuation 30
 
2.1%
Close Punctuation 13
 
0.9%
Open Punctuation 13
 
0.9%
Uppercase Letter 9
 
0.6%
Lowercase Letter 5
 
0.4%
Dash Punctuation 4
 
0.3%
Math Symbol 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 49
 
5.8%
로 46
 
5.4%
구 41
 
4.9%
층 33
 
3.9%
동 24
 
2.8%
기 18
 
2.1%
경 18
 
2.1%
산 16
 
1.9%
남 16
 
1.9%
대 16
 
1.9%
Other values (162) 568
67.2%
Decimal Number
ValueCountFrequency (%)
1 47
20.0%
2 31
13.2%
3 26
11.1%
6 22
9.4%
0 22
9.4%
9 21
8.9%
5 19
8.1%
4 18
 
7.7%
8 18
 
7.7%
7 11
 
4.7%
Uppercase Letter
ValueCountFrequency (%)
B 3
33.3%
A 2
22.2%
D 1
 
11.1%
J 1
 
11.1%
S 1
 
11.1%
T 1
 
11.1%
Lowercase Letter
ValueCountFrequency (%)
l 2
40.0%
d 1
20.0%
m 1
20.0%
c 1
20.0%
Other Punctuation
ValueCountFrequency (%)
, 27
90.0%
. 2
 
6.7%
/ 1
 
3.3%
Space Separator
ValueCountFrequency (%)
248
100.0%
Close Punctuation
ValueCountFrequency (%)
) 13
100.0%
Open Punctuation
ValueCountFrequency (%)
( 13
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%
Math Symbol
ValueCountFrequency (%)
~ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 845
60.2%
Common 545
38.8%
Latin 14
 
1.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 49
 
5.8%
로 46
 
5.4%
구 41
 
4.9%
층 33
 
3.9%
동 24
 
2.8%
기 18
 
2.1%
경 18
 
2.1%
산 16
 
1.9%
남 16
 
1.9%
대 16
 
1.9%
Other values (162) 568
67.2%
Common
ValueCountFrequency (%)
248
45.5%
1 47
 
8.6%
2 31
 
5.7%
, 27
 
5.0%
3 26
 
4.8%
6 22
 
4.0%
0 22
 
4.0%
9 21
 
3.9%
5 19
 
3.5%
4 18
 
3.3%
Other values (8) 64
 
11.7%
Latin
ValueCountFrequency (%)
B 3
21.4%
l 2
14.3%
A 2
14.3%
D 1
 
7.1%
J 1
 
7.1%
S 1
 
7.1%
T 1
 
7.1%
d 1
 
7.1%
m 1
 
7.1%
c 1
 
7.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 845
60.2%
ASCII 559
39.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
248
44.4%
1 47
 
8.4%
2 31
 
5.5%
, 27
 
4.8%
3 26
 
4.7%
6 22
 
3.9%
0 22
 
3.9%
9 21
 
3.8%
5 19
 
3.4%
4 18
 
3.2%
Other values (18) 78
 
14.0%
Hangul
ValueCountFrequency (%)
시 49
 
5.8%
로 46
 
5.4%
구 41
 
4.9%
층 33
 
3.9%
동 24
 
2.8%
기 18
 
2.1%
경 18
 
2.1%
산 16
 
1.9%
남 16
 
1.9%
대 16
 
1.9%
Other values (162) 568
67.2%

연락처
Text

UNIQUE 

Distinct48
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size516.0 B
2023-12-13T03:28:07.412500image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length11.895833
Min length9

Characters and Unicode

Total characters571
Distinct characters11
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

Unique48 ?
Unique (%)100.0%

Sample

1st row033-650-3396
2nd row033-244-8715
3rd row031-850-5817
4th row031-345-2370
5th row031-890-7832
ValueCountFrequency (%)
033-650-3396 1
 
2.1%
033-244-8715 1
 
2.1%
02-3151-0750 1
 
2.1%
051-818-0211 1
 
2.1%
051-749-6281 1
 
2.1%
1644-4812 1
 
2.1%
070-7090-0843 1
 
2.1%
02-568-0031 1
 
2.1%
02-2241-3984 1
 
2.1%
02-3340-7467 1
 
2.1%
Other values (38) 38
79.2%
2023-12-13T03:28:07.813039image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 99
17.3%
- 94
16.5%
2 60
10.5%
1 59
10.3%
3 49
8.6%
5 43
7.5%
7 39
 
6.8%
4 38
 
6.7%
8 37
 
6.5%
6 28
 
4.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 477
83.5%
Dash Punctuation 94
 
16.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 99
20.8%
2 60
12.6%
1 59
12.4%
3 49
10.3%
5 43
9.0%
7 39
 
8.2%
4 38
 
8.0%
8 37
 
7.8%
6 28
 
5.9%
9 25
 
5.2%
Dash Punctuation
ValueCountFrequency (%)
- 94
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 571
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 99
17.3%
- 94
16.5%
2 60
10.5%
1 59
10.3%
3 49
8.6%
5 43
7.5%
7 39
 
6.8%
4 38
 
6.7%
8 37
 
6.5%
6 28
 
4.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 571
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 99
17.3%
- 94
16.5%
2 60
10.5%
1 59
10.3%
3 49
8.6%
5 43
7.5%
7 39
 
6.8%
4 38
 
6.7%
8 37
 
6.5%
6 28
 
4.9%

Interactions

2023-12-13T03:28:05.058632image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T03:28:07.931255image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번지역센터명주소연락처
순번1.0000.9381.0001.0001.000
지역0.9381.0001.0001.0001.000
센터명1.0001.0001.0001.0001.000
주소1.0001.0001.0001.0001.000
연락처1.0001.0001.0001.0001.000
2023-12-13T03:28:08.031106image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번지역
순번1.0000.658
지역0.6581.000

Missing values

2023-12-13T03:28:05.161099image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T03:28:05.260065image/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

순번지역센터명주소연락처
01강원강릉시강원도 강릉시 경강로 2326번길 4, 1인창조기업지원센터033-650-3396
12강원강원정보문화진흥원강원도 춘천시 공지로 305, 4층033-244-8715
23경기의정부시(신한대학교 산학협력단)경기도 의정부시 산단로76번길 89, 의정부시 중소기업지원센터 1층031-850-5817
34경기의왕시(한국교통대학교 산학협력단)경기도 의왕시 안양판교로 82, 포일어울림센터 8층031-345-2370
45경기용인시산업진흥원경기도 용인시 기흥구 동백중앙로245, 동백문월드 215호031-890-7832
56경기한국나노기술원경기도 수원시 영통구 광교로 109(이의동) B1층031-546-6241
67경기고양산업진흥원경기도 고양시 덕양구 고양대로 1393, 2층031-960-7869
78경기경기도일자리재단경기도 용인시 기흥구 용구대로 2311031-270-9786
89경기안양산업진흥원경기도 안양시 동안구 시민대로 327번길 11-41, 2층 209호031-8045-6716
910경기수원시(경기중소벤처기업연합회)경기도 수원시 영통구 반달로87 경기지방중소벤처기업청 4층 1인창조기업 비즈니스센터031-204-1070
순번지역센터명주소연락처
3839서울마포구(서강대학교 산학협력단)서울특별시 마포구 매봉산로 18 마포창업복지관 601호070-7727-4100
3940울산울산광역시(울산경제진흥원)울산광역시 남구 옥현로 129(무거동, 벤처빌딩) 3층052-288-0234
4041인천㈜미래서비스(인천창업통합지원센터)인천광역시 남동구 앵고개로 928 DA프라자 3층, 인천창업통합지원센터032-216-0092
4142인천인천광역시(인천테크노파크)인천광역시 미추홀구 석정로 229, JST제물포스마트타운 5층032-725-3201
4243전남전라남도(전남여수산학융합원)전남 여수시 삼동3길 17, (사)전남여수산학융합원061-659-7783
4344전남담양군(광주전남ICT협회)전남 담양군 담양읍 반룡길 24-13061-381-5800
4445전남(재)전남정보문화산업진흥원전남 목포시 석현로 46 목포문화산업지원센터 108호061-280-7499
4546전북전주시(전주정보문화산업진흥원)전라북도 전주시 완산구 아중로 33063-281-4154
4647충북서원대학교 산학협력단충북 청주시 상당구 수동 상당로 190번길 19043-299-1052
4748충남충남테크노파크(천안시)충남 천안시 서북구 직산읍 직산로 136041-589-0703