Overview

Dataset statistics

Number of variables13
Number of observations257
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory27.2 KiB
Average record size in memory108.5 B

Variable types

Numeric4
Categorical4
Text4
DateTime1

Dataset

Description창업보육센터 센터 정보 제공(지역, 센터명, 구분, 지정일, 주력보육분야, 주소, 특화분야, 입주기업 수, 보육실 수, 입주율, 센터등급으로 구성)
Author중소벤처기업부
URLhttps://www.data.go.kr/data/15122846/fileData.do

Alerts

연번 is highly overall correlated with 지역High correlation
입주기업 전체 개수 is highly overall correlated with 보육실 전체 개수High correlation
보육실 전체 개수 is highly overall correlated with 입주기업 전체 개수High correlation
지역 is highly overall correlated with 연번High correlation
연번 has unique valuesUnique
센터명 has unique valuesUnique
주력보육분야 has unique valuesUnique
주소 has unique valuesUnique

Reproduction

Analysis started2023-12-12 13:56:50.829199
Analysis finished2023-12-12 13:56:53.614667
Duration2.79 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct257
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean129
Minimum1
Maximum257
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.4 KiB
2023-12-12T22:56:53.690015image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile13.8
Q165
median129
Q3193
95-th percentile244.2
Maximum257
Range256
Interquartile range (IQR)128

Descriptive statistics

Standard deviation74.333707
Coefficient of variation (CV)0.57623029
Kurtosis-1.2
Mean129
Median Absolute Deviation (MAD)64
Skewness0
Sum33153
Variance5525.5
MonotonicityStrictly increasing
2023-12-12T22:56:53.830246image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.4%
194 1
 
0.4%
164 1
 
0.4%
165 1
 
0.4%
166 1
 
0.4%
167 1
 
0.4%
168 1
 
0.4%
169 1
 
0.4%
170 1
 
0.4%
171 1
 
0.4%
Other values (247) 247
96.1%
ValueCountFrequency (%)
1 1
0.4%
2 1
0.4%
3 1
0.4%
4 1
0.4%
5 1
0.4%
6 1
0.4%
7 1
0.4%
8 1
0.4%
9 1
0.4%
10 1
0.4%
ValueCountFrequency (%)
257 1
0.4%
256 1
0.4%
255 1
0.4%
254 1
0.4%
253 1
0.4%
252 1
0.4%
251 1
0.4%
250 1
0.4%
249 1
0.4%
248 1
0.4%

지역
Categorical

HIGH CORRELATION 

Distinct17
Distinct (%)6.6%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
경기도
49 
서울특별시
32 
경상북도
24 
경상남도
19 
강원도
16 
Other values (12)
117 

Length

Max length7
Median length5
Mean length4.1595331
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row서울특별시
2nd row서울특별시
3rd row서울특별시
4th row서울특별시
5th row서울특별시

Common Values

ValueCountFrequency (%)
경기도 49
19.1%
서울특별시 32
12.5%
경상북도 24
9.3%
경상남도 19
 
7.4%
강원도 16
 
6.2%
전라북도 15
 
5.8%
충청남도 15
 
5.8%
충청북도 14
 
5.4%
부산광역시 14
 
5.4%
전라남도 13
 
5.1%
Other values (7) 46
17.9%

Length

2023-12-12T22:56:53.968903image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
경기도 49
19.1%
서울특별시 32
12.5%
경상북도 24
9.3%
경상남도 19
 
7.4%
강원도 16
 
6.2%
전라북도 15
 
5.8%
충청남도 15
 
5.8%
부산광역시 14
 
5.4%
충청북도 14
 
5.4%
전라남도 13
 
5.1%
Other values (7) 46
17.9%

지역 시군구
Text

Distinct109
Distinct (%)42.4%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
2023-12-12T22:56:54.327365image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length4
Median length3
Mean length2.9571984
Min length2

Characters and Unicode

Total characters760
Distinct characters97
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

Unique55 ?
Unique (%)21.4%

Sample

1st row동작구
2nd row관악구
3rd row강남구
4th row광진구
5th row동대문구
ValueCountFrequency (%)
남구 9
 
3.5%
창원시 8
 
3.1%
수원시 8
 
3.1%
전주시 8
 
3.1%
북구 7
 
2.7%
성남시 7
 
2.7%
유성구 7
 
2.7%
청주시 7
 
2.7%
용인시 7
 
2.7%
천안시 6
 
2.3%
Other values (99) 183
71.2%
2023-12-12T22:56:54.851534image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
시 152
20.0%
구 88
 
11.6%
주 41
 
5.4%
산 31
 
4.1%
성 30
 
3.9%
원 27
 
3.6%
군 24
 
3.2%
남 21
 
2.8%
천 19
 
2.5%
안 17
 
2.2%
Other values (87) 310
40.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 760
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 152
20.0%
구 88
 
11.6%
주 41
 
5.4%
산 31
 
4.1%
성 30
 
3.9%
원 27
 
3.6%
군 24
 
3.2%
남 21
 
2.8%
천 19
 
2.5%
안 17
 
2.2%
Other values (87) 310
40.8%

Most occurring scripts

ValueCountFrequency (%)
Hangul 760
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 152
20.0%
구 88
 
11.6%
주 41
 
5.4%
산 31
 
4.1%
성 30
 
3.9%
원 27
 
3.6%
군 24
 
3.2%
남 21
 
2.8%
천 19
 
2.5%
안 17
 
2.2%
Other values (87) 310
40.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 760
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
시 152
20.0%
구 88
 
11.6%
주 41
 
5.4%
산 31
 
4.1%
성 30
 
3.9%
원 27
 
3.6%
군 24
 
3.2%
남 21
 
2.8%
천 19
 
2.5%
안 17
 
2.2%
Other values (87) 310
40.8%

센터명
Text

UNIQUE 

Distinct257
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
2023-12-12T22:56:55.126456image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length29
Median length25
Mean length13.241245
Min length5

Characters and Unicode

Total characters3403
Distinct characters256
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique257 ?
Unique (%)100.0%

Sample

1st rowCreative Business Center(중앙대)
2nd rowS-INNOVATION(에스이노베이션)
3rd rowTIPS타운(팁스타운)
4th row건국대학교 창업보육센터
5th row경희창업보육센터(서울)
ValueCountFrequency (%)
창업보육센터 109
 
25.4%
포스트bi 4
 
0.9%
창업지원센터 4
 
0.9%
부산대학교 3
 
0.7%
창업지원단 3
 
0.7%
경상국립대학교 2
 
0.5%
한양대학교 2
 
0.5%
전남대학교 2
 
0.5%
호서대학교 2
 
0.5%
동국대학교 2
 
0.5%
Other values (293) 296
69.0%
2023-12-12T22:56:55.608791image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
업 251
 
7.4%
터 243
 
7.1%
센 242
 
7.1%
창 235
 
6.9%
보 217
 
6.4%
육 216
 
6.3%
대 198
 
5.8%
학 176
 
5.2%
172
 
5.1%
교 157
 
4.6%
Other values (246) 1296
38.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3058
89.9%
Space Separator 172
 
5.1%
Uppercase Letter 73
 
2.1%
Lowercase Letter 42
 
1.2%
Close Punctuation 23
 
0.7%
Open Punctuation 23
 
0.7%
Dash Punctuation 5
 
0.1%
Other Punctuation 3
 
0.1%
Connector Punctuation 2
 
0.1%
Letter Number 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
업 251
 
8.2%
터 243
 
7.9%
센 242
 
7.9%
창 235
 
7.7%
보 217
 
7.1%
육 216
 
7.1%
대 198
 
6.5%
학 176
 
5.8%
교 157
 
5.1%
원 53
 
1.7%
Other values (203) 1070
35.0%
Uppercase Letter
ValueCountFrequency (%)
I 13
17.8%
B 11
15.1%
S 8
11.0%
T 7
9.6%
N 6
8.2%
P 4
 
5.5%
O 4
 
5.5%
C 3
 
4.1%
A 3
 
4.1%
H 3
 
4.1%
Other values (8) 11
15.1%
Lowercase Letter
ValueCountFrequency (%)
e 10
23.8%
r 4
 
9.5%
a 4
 
9.5%
i 4
 
9.5%
s 3
 
7.1%
n 3
 
7.1%
l 3
 
7.1%
c 2
 
4.8%
t 2
 
4.8%
m 1
 
2.4%
Other values (6) 6
14.3%
Other Punctuation
ValueCountFrequency (%)
. 2
66.7%
· 1
33.3%
Space Separator
ValueCountFrequency (%)
172
100.0%
Close Punctuation
ValueCountFrequency (%)
) 23
100.0%
Open Punctuation
ValueCountFrequency (%)
( 23
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 5
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 2
100.0%
Letter Number
ValueCountFrequency (%)
Ⅶ 1
100.0%
Decimal Number
ValueCountFrequency (%)
2 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3058
89.9%
Common 229
 
6.7%
Latin 116
 
3.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
업 251
 
8.2%
터 243
 
7.9%
센 242
 
7.9%
창 235
 
7.7%
보 217
 
7.1%
육 216
 
7.1%
대 198
 
6.5%
학 176
 
5.8%
교 157
 
5.1%
원 53
 
1.7%
Other values (203) 1070
35.0%
Latin
ValueCountFrequency (%)
I 13
 
11.2%
B 11
 
9.5%
e 10
 
8.6%
S 8
 
6.9%
T 7
 
6.0%
N 6
 
5.2%
r 4
 
3.4%
a 4
 
3.4%
P 4
 
3.4%
i 4
 
3.4%
Other values (25) 45
38.8%
Common
ValueCountFrequency (%)
172
75.1%
) 23
 
10.0%
( 23
 
10.0%
- 5
 
2.2%
. 2
 
0.9%
_ 2
 
0.9%
· 1
 
0.4%
2 1
 
0.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3058
89.9%
ASCII 343
 
10.1%
Number Forms 1
 
< 0.1%
None 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
업 251
 
8.2%
터 243
 
7.9%
센 242
 
7.9%
창 235
 
7.7%
보 217
 
7.1%
육 216
 
7.1%
대 198
 
6.5%
학 176
 
5.8%
교 157
 
5.1%
원 53
 
1.7%
Other values (203) 1070
35.0%
ASCII
ValueCountFrequency (%)
172
50.1%
) 23
 
6.7%
( 23
 
6.7%
I 13
 
3.8%
B 11
 
3.2%
e 10
 
2.9%
S 8
 
2.3%
T 7
 
2.0%
N 6
 
1.7%
- 5
 
1.5%
Other values (31) 65
 
19.0%
Number Forms
ValueCountFrequency (%)
Ⅶ 1
100.0%
None
ValueCountFrequency (%)
· 1
100.0%

사업자 구분
Categorical

Distinct6
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
대학
193 
정부·지자체
23 
연구소
 
17
민간기관
 
10
공공기관·협단체
 
9

Length

Max length14
Median length2
Mean length2.9455253
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row대학
2nd row대학
3rd row공공기관·협단체
4th row대학
5th row대학

Common Values

ValueCountFrequency (%)
대학 193
75.1%
정부·지자체 23
 
8.9%
연구소 17
 
6.6%
민간기관 10
 
3.9%
공공기관·협단체 9
 
3.5%
테크노파크·창조경제혁신센터 5
 
1.9%

Length

2023-12-12T22:56:55.785698image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T22:56:55.903543image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
대학 193
75.1%
정부·지자체 23
 
8.9%
연구소 17
 
6.6%
민간기관 10
 
3.9%
공공기관·협단체 9
 
3.5%
테크노파크·창조경제혁신센터 5
 
1.9%

지정일
Date

Distinct64
Distinct (%)24.9%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
Minimum1992-04-22 00:00:00
Maximum2023-06-27 00:00:00
2023-12-12T22:56:56.044906image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:56:56.198537image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

주력보육분야
Text

UNIQUE 

Distinct257
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
2023-12-12T22:56:56.484405image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length54
Median length36
Mean length14.700389
Min length2

Characters and Unicode

Total characters3778
Distinct characters284
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique257 ?
Unique (%)100.0%

Sample

1st row바이오, 의학, ICT, 문화예술, 소셜벤처
2nd rowIT융복합분야
3rd rowTIPS프로그램
4th row정보통신 및 컴퓨터 바이오
5th row바이오, IT
ValueCountFrequency (%)
및 31
 
4.4%
바이오 29
 
4.1%
it 28
 
4.0%
등 17
 
2.4%
정보통신 14
 
2.0%
전자 10
 
1.4%
ict 10
 
1.4%
전기전자 10
 
1.4%
에너지 9
 
1.3%
분야 9
 
1.3%
Other values (377) 535
76.2%
2023-12-12T22:56:56.949979image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
450
 
11.9%
, 327
 
8.7%
기 130
 
3.4%
T 119
 
3.1%
I 95
 
2.5%
자 82
 
2.2%
전 80
 
2.1%
업 75
 
2.0%
이 66
 
1.7%
바 63
 
1.7%
Other values (274) 2291
60.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2528
66.9%
Space Separator 450
 
11.9%
Other Punctuation 361
 
9.6%
Uppercase Letter 307
 
8.1%
Lowercase Letter 81
 
2.1%
Close Punctuation 21
 
0.6%
Open Punctuation 21
 
0.6%
Decimal Number 7
 
0.2%
Dash Punctuation 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
기 130
 
5.1%
자 82
 
3.2%
전 80
 
3.2%
업 75
 
3.0%
이 66
 
2.6%
바 63
 
2.5%
오 61
 
2.4%
신 60
 
2.4%
품 54
 
2.1%
산 47
 
1.9%
Other values (230) 1810
71.6%
Lowercase Letter
ValueCountFrequency (%)
o 15
18.5%
e 11
13.6%
n 7
8.6%
h 6
 
7.4%
l 6
 
7.4%
i 5
 
6.2%
c 5
 
6.2%
t 5
 
6.2%
u 4
 
4.9%
r 4
 
4.9%
Other values (7) 13
16.0%
Uppercase Letter
ValueCountFrequency (%)
T 119
38.8%
I 95
30.9%
C 24
 
7.8%
B 21
 
6.8%
S 9
 
2.9%
A 8
 
2.6%
W 7
 
2.3%
N 5
 
1.6%
E 4
 
1.3%
O 4
 
1.3%
Other values (6) 11
 
3.6%
Other Punctuation
ValueCountFrequency (%)
, 327
90.6%
/ 22
 
6.1%
· 6
 
1.7%
. 6
 
1.7%
Decimal Number
ValueCountFrequency (%)
4 3
42.9%
1 3
42.9%
6 1
 
14.3%
Space Separator
ValueCountFrequency (%)
450
100.0%
Close Punctuation
ValueCountFrequency (%)
) 21
100.0%
Open Punctuation
ValueCountFrequency (%)
( 21
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2528
66.9%
Common 862
 
22.8%
Latin 388
 
10.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
기 130
 
5.1%
자 82
 
3.2%
전 80
 
3.2%
업 75
 
3.0%
이 66
 
2.6%
바 63
 
2.5%
오 61
 
2.4%
신 60
 
2.4%
품 54
 
2.1%
산 47
 
1.9%
Other values (230) 1810
71.6%
Latin
ValueCountFrequency (%)
T 119
30.7%
I 95
24.5%
C 24
 
6.2%
B 21
 
5.4%
o 15
 
3.9%
e 11
 
2.8%
S 9
 
2.3%
A 8
 
2.1%
n 7
 
1.8%
W 7
 
1.8%
Other values (23) 72
18.6%
Common
ValueCountFrequency (%)
450
52.2%
, 327
37.9%
/ 22
 
2.6%
) 21
 
2.4%
( 21
 
2.4%
· 6
 
0.7%
. 6
 
0.7%
4 3
 
0.3%
1 3
 
0.3%
- 2
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2528
66.9%
ASCII 1244
32.9%
None 6
 
0.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
450
36.2%
, 327
26.3%
T 119
 
9.6%
I 95
 
7.6%
C 24
 
1.9%
/ 22
 
1.8%
) 21
 
1.7%
( 21
 
1.7%
B 21
 
1.7%
o 15
 
1.2%
Other values (33) 129
 
10.4%
Hangul
ValueCountFrequency (%)
기 130
 
5.1%
자 82
 
3.2%
전 80
 
3.2%
업 75
 
3.0%
이 66
 
2.6%
바 63
 
2.5%
오 61
 
2.4%
신 60
 
2.4%
품 54
 
2.1%
산 47
 
1.9%
Other values (230) 1810
71.6%
None
ValueCountFrequency (%)
· 6
100.0%

주소
Text

UNIQUE 

Distinct257
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
2023-12-12T22:56:57.270802image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length102
Median length65
Mean length44.447471
Min length24

Characters and Unicode

Total characters11423
Distinct characters384
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique257 ?
Unique (%)100.0%

Sample

1st row06974서울특별시 동작구 흑석로 84, 중앙대학교 102관 1001호 (흑석동)중앙대학교 102관 1001호
2nd row08826서울특별시 관악구 관악로 1서울대 연구공원본관 2층 226호
3rd row06247서울특별시 강남구 역삼로 165(역삼동)3층 팁스타운 기획본부
4th row05029서울특별시 광진구 능동로 120, 건국대학교 창의관 210호 (화양동)건국대학교 창의관 210호
5th row02447서울특별시 동대문구 경희대로 26경희대학교 창업보육센터(네오르네상스관 205호)
ValueCountFrequency (%)
창업보육센터 69
 
3.9%
대학로 19
 
1.1%
2층 17
 
1.0%
산학협력관 13
 
0.7%
행정실 12
 
0.7%
남구 11
 
0.6%
북구 10
 
0.6%
3층 8
 
0.5%
전주시 8
 
0.5%
창원시 8
 
0.5%
Other values (1281) 1586
90.1%
2023-12-12T22:56:57.890006image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1510
 
13.2%
1 462
 
4.0%
2 366
 
3.2%
0 319
 
2.8%
3 312
 
2.7%
동 282
 
2.5%
5 281
 
2.5%
4 247
 
2.2%
로 245
 
2.1%
시 241
 
2.1%
Other values (374) 7158
62.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 6647
58.2%
Decimal Number 2633
 
23.0%
Space Separator 1510
 
13.2%
Open Punctuation 207
 
1.8%
Close Punctuation 207
 
1.8%
Other Punctuation 99
 
0.9%
Uppercase Letter 75
 
0.7%
Dash Punctuation 26
 
0.2%
Lowercase Letter 16
 
0.1%
Other Symbol 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 282
 
4.2%
로 245
 
3.7%
시 241
 
3.6%
대 241
 
3.6%
학 219
 
3.3%
구 194
 
2.9%
도 180
 
2.7%
산 162
 
2.4%
창 154
 
2.3%
업 153
 
2.3%
Other values (321) 4576
68.8%
Uppercase Letter
ValueCountFrequency (%)
I 10
13.3%
A 9
12.0%
B 9
12.0%
T 7
9.3%
C 6
8.0%
D 6
8.0%
R 5
 
6.7%
H 4
 
5.3%
W 3
 
4.0%
S 3
 
4.0%
Other values (9) 13
17.3%
Lowercase Letter
ValueCountFrequency (%)
l 2
12.5%
a 2
12.5%
e 2
12.5%
y 1
 
6.2%
r 1
 
6.2%
m 1
 
6.2%
n 1
 
6.2%
i 1
 
6.2%
b 1
 
6.2%
t 1
 
6.2%
Other values (3) 3
18.8%
Decimal Number
ValueCountFrequency (%)
1 462
17.5%
2 366
13.9%
0 319
12.1%
3 312
11.8%
5 281
10.7%
4 247
9.4%
6 202
7.7%
7 164
 
6.2%
8 155
 
5.9%
9 125
 
4.7%
Other Punctuation
ValueCountFrequency (%)
, 90
90.9%
/ 4
 
4.0%
· 2
 
2.0%
: 2
 
2.0%
. 1
 
1.0%
Space Separator
ValueCountFrequency (%)
1510
100.0%
Open Punctuation
ValueCountFrequency (%)
( 207
100.0%
Close Punctuation
ValueCountFrequency (%)
) 207
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 26
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 2
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 6649
58.2%
Common 4683
41.0%
Latin 91
 
0.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 282
 
4.2%
로 245
 
3.7%
시 241
 
3.6%
대 241
 
3.6%
학 219
 
3.3%
구 194
 
2.9%
도 180
 
2.7%
산 162
 
2.4%
창 154
 
2.3%
업 153
 
2.3%
Other values (322) 4578
68.9%
Latin
ValueCountFrequency (%)
I 10
 
11.0%
A 9
 
9.9%
B 9
 
9.9%
T 7
 
7.7%
C 6
 
6.6%
D 6
 
6.6%
R 5
 
5.5%
H 4
 
4.4%
W 3
 
3.3%
S 3
 
3.3%
Other values (22) 29
31.9%
Common
ValueCountFrequency (%)
1510
32.2%
1 462
 
9.9%
2 366
 
7.8%
0 319
 
6.8%
3 312
 
6.7%
5 281
 
6.0%
4 247
 
5.3%
( 207
 
4.4%
) 207
 
4.4%
6 202
 
4.3%
Other values (10) 570
 
12.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 6647
58.2%
ASCII 4772
41.8%
None 4
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1510
31.6%
1 462
 
9.7%
2 366
 
7.7%
0 319
 
6.7%
3 312
 
6.5%
5 281
 
5.9%
4 247
 
5.2%
( 207
 
4.3%
) 207
 
4.3%
6 202
 
4.2%
Other values (41) 659
13.8%
Hangul
ValueCountFrequency (%)
동 282
 
4.2%
로 245
 
3.7%
시 241
 
3.6%
대 241
 
3.6%
학 219
 
3.3%
구 194
 
2.9%
도 180
 
2.7%
산 162
 
2.4%
창 154
 
2.3%
업 153
 
2.3%
Other values (321) 4576
68.8%
None
ValueCountFrequency (%)
· 2
50.0%
㈜ 2
50.0%

특화분야
Categorical

Distinct22
Distinct (%)8.6%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
특화BI
142 
바이오
30 
녹색성장
20 
IT
19 
문화컨텐츠
 
6
Other values (17)
40 

Length

Max length9
Median length5
Mean length4.4902724
Min length2

Unique

Unique8 ?
Unique (%)3.1%

Sample

1st row문화컨텐츠
2nd rowIT
3rd row특화BI
4th row특화BI
5th rowIT

Common Values

ValueCountFrequency (%)
특화BI 142
55.3%
바이오 30
 
11.7%
녹색성장 20
 
7.8%
IT 19
 
7.4%
문화컨텐츠 6
 
2.3%
공예, 디자인 5
 
1.9%
지역특화 5
 
1.9%
농공상융합기업 4
 
1.6%
IT, 앱개발 4
 
1.6%
지식서비스 4
 
1.6%
Other values (12) 18
 
7.0%

Length

2023-12-12T22:56:58.083400image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
특화bi 142
53.2%
바이오 30
 
11.2%
it 23
 
8.6%
녹색성장 20
 
7.5%
문화컨텐츠 6
 
2.2%
앱개발 6
 
2.2%
공예 5
 
1.9%
디자인 5
 
1.9%
지역특화 5
 
1.9%
의료기기 4
 
1.5%
Other values (11) 21
 
7.9%

입주기업 전체 개수
Real number (ℝ)

HIGH CORRELATION 

Distinct64
Distinct (%)24.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean23.692607
Minimum0
Maximum208
Zeros2
Zeros (%)0.8%
Negative0
Negative (%)0.0%
Memory size2.4 KiB
2023-12-12T22:56:58.240805image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile6.8
Q113
median19
Q329
95-th percentile60
Maximum208
Range208
Interquartile range (IQR)16

Descriptive statistics

Standard deviation19.455951
Coefficient of variation (CV)0.82118238
Kurtosis31.553139
Mean23.692607
Median Absolute Deviation (MAD)7
Skewness4.1163269
Sum6089
Variance378.53405
MonotonicityNot monotonic
2023-12-12T22:56:58.401193image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
16 15
 
5.8%
14 13
 
5.1%
12 12
 
4.7%
13 12
 
4.7%
11 11
 
4.3%
9 11
 
4.3%
18 10
 
3.9%
21 10
 
3.9%
20 9
 
3.5%
22 9
 
3.5%
Other values (54) 145
56.4%
ValueCountFrequency (%)
0 2
 
0.8%
2 2
 
0.8%
3 1
 
0.4%
4 3
 
1.2%
5 3
 
1.2%
6 2
 
0.8%
7 4
 
1.6%
8 6
2.3%
9 11
4.3%
10 6
2.3%
ValueCountFrequency (%)
208 1
0.4%
92 1
0.4%
81 1
0.4%
78 1
0.4%
73 1
0.4%
71 1
0.4%
70 1
0.4%
67 1
0.4%
63 1
0.4%
62 1
0.4%

보육실 전체 개수
Real number (ℝ)

HIGH CORRELATION 

Distinct78
Distinct (%)30.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean34.33463
Minimum0
Maximum215
Zeros2
Zeros (%)0.8%
Negative0
Negative (%)0.0%
Memory size2.4 KiB
2023-12-12T22:56:58.536083image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile10
Q118
median26
Q342
95-th percentile83.4
Maximum215
Range215
Interquartile range (IQR)24

Descriptive statistics

Standard deviation27.774146
Coefficient of variation (CV)0.80892516
Kurtosis9.6023837
Mean34.33463
Median Absolute Deviation (MAD)10
Skewness2.5873395
Sum8824
Variance771.40321
MonotonicityNot monotonic
2023-12-12T22:56:58.690909image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
21 11
 
4.3%
20 10
 
3.9%
18 9
 
3.5%
27 9
 
3.5%
23 9
 
3.5%
15 9
 
3.5%
22 8
 
3.1%
17 8
 
3.1%
30 8
 
3.1%
10 8
 
3.1%
Other values (68) 168
65.4%
ValueCountFrequency (%)
0 2
 
0.8%
5 1
 
0.4%
7 1
 
0.4%
9 5
1.9%
10 8
3.1%
11 5
1.9%
12 6
2.3%
13 7
2.7%
14 6
2.3%
15 9
3.5%
ValueCountFrequency (%)
215 1
0.4%
153 1
0.4%
140 1
0.4%
135 1
0.4%
129 1
0.4%
124 1
0.4%
122 1
0.4%
116 1
0.4%
107 1
0.4%
102 1
0.4%

입주율(%)
Real number (ℝ)

Distinct162
Distinct (%)63.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean84.405447
Minimum0
Maximum100
Zeros2
Zeros (%)0.8%
Negative0
Negative (%)0.0%
Memory size2.4 KiB
2023-12-12T22:56:58.819554image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile53.24
Q178.8
median88.1
Q395.6
95-th percentile100
Maximum100
Range100
Interquartile range (IQR)16.8

Descriptive statistics

Standard deviation16.293149
Coefficient of variation (CV)0.19303432
Kurtosis7.0904248
Mean84.405447
Median Absolute Deviation (MAD)8.1
Skewness-2.2027004
Sum21692.2
Variance265.46669
MonotonicityNot monotonic
2023-12-12T22:56:58.963041image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
100.0 42
 
16.3%
91.0 3
 
1.2%
84.4 3
 
1.2%
92.4 3
 
1.2%
91.4 3
 
1.2%
94.7 3
 
1.2%
82.4 3
 
1.2%
94.1 3
 
1.2%
84.6 3
 
1.2%
94.8 3
 
1.2%
Other values (152) 188
73.2%
ValueCountFrequency (%)
0.0 2
0.8%
9.3 1
0.4%
26.1 1
0.4%
32.4 1
0.4%
37.4 1
0.4%
44.4 1
0.4%
45.1 1
0.4%
46.5 1
0.4%
50.0 1
0.4%
50.9 1
0.4%
ValueCountFrequency (%)
100.0 42
16.3%
98.7 1
 
0.4%
98.0 1
 
0.4%
97.9 2
 
0.8%
97.7 1
 
0.4%
97.6 1
 
0.4%
97.3 1
 
0.4%
97.1 1
 
0.4%
97.0 1
 
0.4%
96.8 1
 
0.4%

센터등급
Categorical

Distinct3
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
70점 이상
170 
70점 미만
55 
<NA>
32 

Length

Max length6
Median length6
Mean length5.7509728
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row70점 이상
2nd row<NA>
3rd row<NA>
4th row70점 미만
5th row70점 이상

Common Values

ValueCountFrequency (%)
70점 이상 170
66.1%
70점 미만 55
 
21.4%
<NA> 32
 
12.5%

Length

2023-12-12T22:56:59.080273image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T22:56:59.173784image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
70점 225
46.7%
이상 170
35.3%
미만 55
 
11.4%
na 32
 
6.6%

Interactions

2023-12-12T22:56:53.043835image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:56:51.878032image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:56:52.211365image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:56:52.755715image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:56:53.124015image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:56:51.977128image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:56:52.281591image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:56:52.823189image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:56:53.209969image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:56:52.060356image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:56:52.604041image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:56:52.886639image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:56:53.283470image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:56:52.135118image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:56:52.675961image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:56:52.965274image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T22:56:59.238688image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번지역사업자 구분지정일특화분야입주기업 전체 개수보육실 전체 개수입주율(%)센터등급
연번1.0000.9620.1530.3590.2530.2350.2400.0160.000
지역0.9621.0000.2870.0000.5670.2440.3370.0000.000
사업자 구분0.1530.2871.0000.8830.3870.4910.2220.1400.149
지정일0.3590.0000.8831.0000.7580.7780.7520.0000.365
특화분야0.2530.5670.3870.7581.0000.7570.5260.4750.000
입주기업 전체 개수0.2350.2440.4910.7780.7571.0000.8990.0000.345
보육실 전체 개수0.2400.3370.2220.7520.5260.8991.0000.0000.212
입주율(%)0.0160.0000.1400.0000.4750.0000.0001.0000.186
센터등급0.0000.0000.1490.3650.0000.3450.2120.1861.000
2023-12-12T22:56:59.349763image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
특화분야사업자 구분지역센터등급
특화분야1.0000.1810.2010.000
사업자 구분0.1811.0000.1350.105
지역0.2010.1351.0000.000
센터등급0.0000.1050.0001.000
2023-12-12T22:56:59.711656image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번입주기업 전체 개수보육실 전체 개수입주율(%)지역사업자 구분특화분야센터등급
연번1.000-0.023-0.1150.1020.8160.0790.0920.000
입주기업 전체 개수-0.0231.0000.9030.0600.1130.1950.4570.229
보육실 전체 개수-0.1150.9031.000-0.1600.1370.1090.2260.174
입주율(%)0.1020.060-0.1601.0000.0000.0680.2000.197
지역0.8160.1130.1370.0001.0000.1350.2010.000
사업자 구분0.0790.1950.1090.0680.1351.0000.1810.105
특화분야0.0920.4570.2260.2000.2010.1811.0000.000
센터등급0.0000.2290.1740.1970.0000.1050.0001.000

Missing values

2023-12-12T22:56:53.397293image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T22:56:53.556547image/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

연번지역지역 시군구센터명사업자 구분지정일주력보육분야주소특화분야입주기업 전체 개수보육실 전체 개수입주율(%)센터등급
01서울특별시동작구Creative Business Center(중앙대)대학2020-05-19바이오, 의학, ICT, 문화예술, 소셜벤처06974서울특별시 동작구 흑석로 84, 중앙대학교 102관 1001호 (흑석동)중앙대학교 102관 1001호문화컨텐츠71391.070점 이상
12서울특별시관악구S-INNOVATION(에스이노베이션)대학2013-09-23IT융복합분야08826서울특별시 관악구 관악로 1서울대 연구공원본관 2층 226호IT113194.7<NA>
23서울특별시강남구TIPS타운(팁스타운)공공기관·협단체2017-05-18TIPS프로그램06247서울특별시 강남구 역삼로 165(역삼동)3층 팁스타운 기획본부특화BI737985.3<NA>
34서울특별시광진구건국대학교 창업보육센터대학1999-05-01정보통신 및 컴퓨터 바이오05029서울특별시 광진구 능동로 120, 건국대학교 창의관 210호 (화양동)건국대학교 창의관 210호특화BI182178.770점 미만
45서울특별시동대문구경희창업보육센터(서울)대학2000-04-27바이오, IT02447서울특별시 동대문구 경희대로 26경희대학교 창업보육센터(네오르네상스관 205호)IT192388.470점 이상
56서울특별시성북구고려대학교 크림슨창업지원단대학1999-08-05정보통신공학기술02841서울특별시 성북구 안암로 145 (안암동5가)고려대학교 CJ식품안전관 103호특화BI111494.870점 이상
67서울특별시노원구광운창업지원센터대학2020-02-03ICT, 에너지바이오, 문화콘텐츠01886서울특별시 노원구 석계로18길 23(월계동, 삼능스페이스향)3층, KW-TIBIT, 앱개발152674.870점 이상
78서울특별시성북구국민대창업보육센터대학1999-08-05디자인분야02707서울특별시 성북구 정릉로 77(정릉동)특화BI101581.770점 미만
89서울특별시강남구글로벌벤처센터민간기관2012-05-09IT, SW, 모바일앱06258서울특별시 강남구 도곡로 112서한빌딩 2층 (도곡동)IT213084.470점 이상
910서울특별시종로구덴탈메디케어 창업보육센터대학2012-04-30치과의약바이오, 의료기기, 의약품, 바이오소재03080서울특별시 종로구 대학로 101(연건동)서울대학교 치의학대학원 덴탈메디케어 창업보육센터바이오41132.4<NA>
연번지역지역 시군구센터명사업자 구분지정일주력보육분야주소특화분야입주기업 전체 개수보육실 전체 개수입주율(%)센터등급
247248전라북도전주시전주대학교 창업보육센터대학1999-08-05IT, BT, CT55069전라북도 전주시 완산구 천잠로 303, 벤처창업관 (효자동2가)벤처창업관문화컨텐츠5510271.670점 이상
248249전라북도전주시전주비전대학교창업보육센터대학2001-03-12전기, 전자, 신재생에너지55069전라북도 전주시 완산구 천잠로 235, 실습동 212호 , 전주비전대학교 창업보육센터 (효자동2가)실습동 212호 , 전주비전대학교 창업보육센터특화BI284280.570점 이상
249250전라북도전주시탄소융합부품소재창업보육센터정부·지자체2012-04-30탄소융합부품소재, 탄소복합소재54853전라북도 전주시 덕진구 원만성로 106, 탄소융합부품소재 창업보육센터 (팔복동2가)탄소융합부품소재 창업보육센터특화BI173466.770점 미만
250251전라북도전주시한국농수산대학교 창업보육센터대학2001-03-12농생명 ICT, 스마트팜, 농수산물 가공 및 연구개발, 관련분야 전후방산업54874전라북도 전주시 덕진구 콩쥐팥쥐로 1515, 한국농수산대학교 창업보육센터 (중동)한국농수산대학교 창업보육센터농업2020100.070점 이상
251252전라북도군산시호원대학교창업보육센터대학1999-08-26IoT융합,부품,센서54058전라북도 군산시 임피면 호원대3길 64호원대학교 산학협력관 301호 창업보육센터특화BI131589.070점 이상
252253전라북도전주시희망전북 POST-BI정부·지자체2009-04-21광, 기계, 전자54882전라북도 전주시 덕진구 상리1길 34(팔복동2가)특화BI152284.670점 이상
253254제주특별자치도제주시제주관광대학창업보육센터대학2001-03-12청정헬스푸드형 식품기업및 향장품, 디자인,영상, 4차산업(IOT)63063제주특별자치도 제주시 애월읍 평화로 2715창업보육센터특화BI202388.770점 이상
254255제주특별자치도제주시제주국제대학교창업보육센터대학2000-04-27신항공산업, 지능형관관컨텐츠, 스마트그리드, 정보통신, 4차산업혁명기업63309제주특별자치도 제주시 516로 2870(영평동)제주국제대학교특화BI1919100.070점 이상
255256제주특별자치도제주시제주대학교 창업보육센터대학1998-06-22바이오/환경63169제주특별자치도 제주시 중앙로14길 21제주대학교 창업보육센터터 2층 행정실 (삼도이동)지역특화426568.670점 이상
256257제주특별자치도제주시제주한라대학교창업보육센터대학2002-03-20정보기술 및 생명공학63092제주특별자치도 제주시 한라대학로 38, 노형동 (노형동)노형동특화BI917100.070점 이상