Overview

Dataset statistics

Number of variables11
Number of observations6083
Missing cells22
Missing cells (%)< 0.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory528.8 KiB
Average record size in memory89.0 B

Variable types

Numeric1
Categorical3
Text5
DateTime2

Dataset

Description창업보육센터 입주기업 현황 제공(소재지, 센터명, 기관명, 기업명, 대표자명, 창업일, 입주일, 기업형태, 업종, 주생산품으로 구성)
Author중소벤처기업부
URLhttps://www.data.go.kr/data/15122804/fileData.do

Alerts

구분 is highly overall correlated with 소재지High correlation
소재지 is highly overall correlated with 구분High correlation
구분 has unique valuesUnique

Reproduction

Analysis started2023-12-12 22:19:16.094174
Analysis finished2023-12-12 22:19:18.101496
Duration2.01 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

구분
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct6083
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3042
Minimum1
Maximum6083
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size53.6 KiB
2023-12-13T07:19:18.169432image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile305.1
Q11521.5
median3042
Q34562.5
95-th percentile5778.9
Maximum6083
Range6082
Interquartile range (IQR)3041

Descriptive statistics

Standard deviation1756.1552
Coefficient of variation (CV)0.57730282
Kurtosis-1.2
Mean3042
Median Absolute Deviation (MAD)1521
Skewness0
Sum18504486
Variance3084081
MonotonicityStrictly increasing
2023-12-13T07:19:18.300106image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
< 0.1%
4054 1
 
< 0.1%
4063 1
 
< 0.1%
4062 1
 
< 0.1%
4061 1
 
< 0.1%
4060 1
 
< 0.1%
4059 1
 
< 0.1%
4058 1
 
< 0.1%
4057 1
 
< 0.1%
4056 1
 
< 0.1%
Other values (6073) 6073
99.8%
ValueCountFrequency (%)
1 1
< 0.1%
2 1
< 0.1%
3 1
< 0.1%
4 1
< 0.1%
5 1
< 0.1%
6 1
< 0.1%
7 1
< 0.1%
8 1
< 0.1%
9 1
< 0.1%
10 1
< 0.1%
ValueCountFrequency (%)
6083 1
< 0.1%
6082 1
< 0.1%
6081 1
< 0.1%
6080 1
< 0.1%
6079 1
< 0.1%
6078 1
< 0.1%
6077 1
< 0.1%
6076 1
< 0.1%
6075 1
< 0.1%
6074 1
< 0.1%

소재지
Categorical

HIGH CORRELATION 

Distinct17
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size47.7 KiB
경기도
1102 
서울특별시
821 
경상북도
533 
강원도
449 
대전광역시
391 
Other values (12)
2787 

Length

Max length7
Median length5
Mean length4.1906954
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
경기도 1102
18.1%
서울특별시 821
13.5%
경상북도 533
8.8%
강원도 449
7.4%
대전광역시 391
 
6.4%
충청남도 389
 
6.4%
전라북도 351
 
5.8%
경상남도 337
 
5.5%
충청북도 319
 
5.2%
광주광역시 298
 
4.9%
Other values (7) 1093
18.0%

Length

2023-12-13T07:19:18.441599image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
경기도 1102
18.1%
서울특별시 821
13.5%
경상북도 533
8.8%
강원도 449
7.4%
대전광역시 391
 
6.4%
충청남도 389
 
6.4%
전라북도 351
 
5.8%
경상남도 337
 
5.5%
충청북도 319
 
5.2%
광주광역시 298
 
4.9%
Other values (7) 1093
18.0%

센터명
Text

Distinct255
Distinct (%)4.2%
Missing0
Missing (%)0.0%
Memory size47.7 KiB
2023-12-13T07:19:18.688009image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length29
Median length25
Mean length13.218149
Min length6

Characters and Unicode

Total characters80406
Distinct characters254
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowCreative Business Center(중앙대)
2nd rowCreative Business Center(중앙대)
3rd rowCreative Business Center(중앙대)
4th rowCreative Business Center(중앙대)
5th rowCreative Business Center(중앙대)
ValueCountFrequency (%)
창업보육센터 2498
 
24.8%
여성기업종합지원센터 207
 
2.1%
한양대학교 91
 
0.9%
장애인기업종합지원센터(서울지역센터 91
 
0.9%
한남대학교창업보육센터(hnu 81
 
0.8%
science 81
 
0.8%
park 81
 
0.8%
에리카 77
 
0.8%
창업지원센터 75
 
0.7%
tips타운(팁스타운 73
 
0.7%
Other values (291) 6731
66.7%
2023-12-13T07:19:19.360165image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
업 5985
 
7.4%
터 5840
 
7.3%
센 5828
 
7.2%
창 5365
 
6.7%
보 4976
 
6.2%
육 4937
 
6.1%
대 4929
 
6.1%
학 4463
 
5.6%
교 4072
 
5.1%
4003
 
5.0%
Other values (244) 30008
37.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 71911
89.4%
Space Separator 4003
 
5.0%
Uppercase Letter 2017
 
2.5%
Lowercase Letter 1121
 
1.4%
Close Punctuation 605
 
0.8%
Open Punctuation 605
 
0.8%
Other Punctuation 85
 
0.1%
Decimal Number 35
 
< 0.1%
Connector Punctuation 18
 
< 0.1%
Letter Number 6
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
업 5985
 
8.3%
터 5840
 
8.1%
센 5828
 
8.1%
창 5365
 
7.5%
보 4976
 
6.9%
육 4937
 
6.9%
대 4929
 
6.9%
학 4463
 
6.2%
교 4072
 
5.7%
원 1475
 
2.1%
Other values (202) 24041
33.4%
Uppercase Letter
ValueCountFrequency (%)
I 276
13.7%
S 266
13.2%
B 238
11.8%
T 199
9.9%
P 183
9.1%
N 171
8.5%
H 153
7.6%
U 81
 
4.0%
D 77
 
3.8%
A 76
 
3.8%
Other values (8) 297
14.7%
Lowercase Letter
ValueCountFrequency (%)
e 253
22.6%
c 162
14.5%
a 130
11.6%
r 116
10.3%
i 109
9.7%
n 95
 
8.5%
k 81
 
7.2%
l 56
 
5.0%
y 21
 
1.9%
m 21
 
1.9%
Other values (6) 77
 
6.9%
Other Punctuation
ValueCountFrequency (%)
· 43
50.6%
. 42
49.4%
Space Separator
ValueCountFrequency (%)
4003
100.0%
Close Punctuation
ValueCountFrequency (%)
) 605
100.0%
Open Punctuation
ValueCountFrequency (%)
( 605
100.0%
Decimal Number
ValueCountFrequency (%)
2 35
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 18
100.0%
Letter Number
ValueCountFrequency (%)
Ⅶ 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 71911
89.4%
Common 5351
 
6.7%
Latin 3144
 
3.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
업 5985
 
8.3%
터 5840
 
8.1%
센 5828
 
8.1%
창 5365
 
7.5%
보 4976
 
6.9%
육 4937
 
6.9%
대 4929
 
6.9%
학 4463
 
6.2%
교 4072
 
5.7%
원 1475
 
2.1%
Other values (202) 24041
33.4%
Latin
ValueCountFrequency (%)
I 276
 
8.8%
S 266
 
8.5%
e 253
 
8.0%
B 238
 
7.6%
T 199
 
6.3%
P 183
 
5.8%
N 171
 
5.4%
c 162
 
5.2%
H 153
 
4.9%
a 130
 
4.1%
Other values (25) 1113
35.4%
Common
ValueCountFrequency (%)
4003
74.8%
) 605
 
11.3%
( 605
 
11.3%
· 43
 
0.8%
. 42
 
0.8%
2 35
 
0.7%
_ 18
 
0.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 71911
89.4%
ASCII 8446
 
10.5%
None 43
 
0.1%
Number Forms 6
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
업 5985
 
8.3%
터 5840
 
8.1%
센 5828
 
8.1%
창 5365
 
7.5%
보 4976
 
6.9%
육 4937
 
6.9%
대 4929
 
6.9%
학 4463
 
6.2%
교 4072
 
5.7%
원 1475
 
2.1%
Other values (202) 24041
33.4%
ASCII
ValueCountFrequency (%)
4003
47.4%
) 605
 
7.2%
( 605
 
7.2%
I 276
 
3.3%
S 266
 
3.1%
e 253
 
3.0%
B 238
 
2.8%
T 199
 
2.4%
P 183
 
2.2%
N 171
 
2.0%
Other values (30) 1647
19.5%
None
ValueCountFrequency (%)
· 43
100.0%
Number Forms
ValueCountFrequency (%)
Ⅶ 6
100.0%

기관명
Text

Distinct247
Distinct (%)4.1%
Missing0
Missing (%)0.0%
Memory size47.7 KiB
2023-12-13T07:19:19.621572image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length27
Median length5
Mean length7.4803551
Min length3

Characters and Unicode

Total characters45503
Distinct characters200
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row중앙대학교 산학협력단
2nd row중앙대학교 산학협력단
3rd row중앙대학교 산학협력단
4th row중앙대학교 산학협력단
5th row중앙대학교 산학협력단
ValueCountFrequency (%)
재)여성기업종합지원센터 207
 
3.1%
산학협력단 162
 
2.4%
동국대학교 106
 
1.6%
재)장애인기업종합지원센터 91
 
1.4%
한양대학교 91
 
1.4%
한남대학교 81
 
1.2%
에리카 77
 
1.1%
창업진흥원 73
 
1.1%
한국엔젤투자협회 73
 
1.1%
충남대학교 71
 
1.1%
Other values (245) 5692
84.7%
2023-12-13T07:19:20.006513image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
학 5206
 
11.4%
대 5044
 
11.1%
교 4666
 
10.3%
원 1487
 
3.3%
기 952
 
2.1%
한 919
 
2.0%
( 906
 
2.0%
) 906
 
2.0%
경 864
 
1.9%
업 825
 
1.8%
Other values (190) 23728
52.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 42849
94.2%
Open Punctuation 906
 
2.0%
Close Punctuation 906
 
2.0%
Space Separator 641
 
1.4%
Other Punctuation 94
 
0.2%
Other Symbol 36
 
0.1%
Decimal Number 35
 
0.1%
Uppercase Letter 30
 
0.1%
Letter Number 6
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
학 5206
 
12.1%
대 5044
 
11.8%
교 4666
 
10.9%
원 1487
 
3.5%
기 952
 
2.2%
한 919
 
2.1%
경 864
 
2.0%
업 825
 
1.9%
국 816
 
1.9%
산 737
 
1.7%
Other values (180) 21333
49.8%
Uppercase Letter
ValueCountFrequency (%)
E 10
33.3%
C 10
33.3%
O 10
33.3%
Open Punctuation
ValueCountFrequency (%)
( 906
100.0%
Close Punctuation
ValueCountFrequency (%)
) 906
100.0%
Space Separator
ValueCountFrequency (%)
641
100.0%
Other Punctuation
ValueCountFrequency (%)
, 94
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 36
100.0%
Decimal Number
ValueCountFrequency (%)
2 35
100.0%
Letter Number
ValueCountFrequency (%)
Ⅶ 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 42885
94.2%
Common 2582
 
5.7%
Latin 36
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
학 5206
 
12.1%
대 5044
 
11.8%
교 4666
 
10.9%
원 1487
 
3.5%
기 952
 
2.2%
한 919
 
2.1%
경 864
 
2.0%
업 825
 
1.9%
국 816
 
1.9%
산 737
 
1.7%
Other values (181) 21369
49.8%
Common
ValueCountFrequency (%)
( 906
35.1%
) 906
35.1%
641
24.8%
, 94
 
3.6%
2 35
 
1.4%
Latin
ValueCountFrequency (%)
E 10
27.8%
C 10
27.8%
O 10
27.8%
Ⅶ 6
16.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 42849
94.2%
ASCII 2612
 
5.7%
None 36
 
0.1%
Number Forms 6
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
학 5206
 
12.1%
대 5044
 
11.8%
교 4666
 
10.9%
원 1487
 
3.5%
기 952
 
2.2%
한 919
 
2.1%
경 864
 
2.0%
업 825
 
1.9%
국 816
 
1.9%
산 737
 
1.7%
Other values (180) 21333
49.8%
ASCII
ValueCountFrequency (%)
( 906
34.7%
) 906
34.7%
641
24.5%
, 94
 
3.6%
2 35
 
1.3%
E 10
 
0.4%
C 10
 
0.4%
O 10
 
0.4%
None
ValueCountFrequency (%)
㈜ 36
100.0%
Number Forms
ValueCountFrequency (%)
Ⅶ 6
100.0%

기업명
Text

Distinct6053
Distinct (%)99.5%
Missing0
Missing (%)0.0%
Memory size47.7 KiB
2023-12-13T07:19:20.337692image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length34
Median length24
Mean length7.4001315
Min length1

Characters and Unicode

Total characters45015
Distinct characters889
Distinct categories10 ?
Distinct scripts4 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique6028 ?
Unique (%)99.1%

Sample

1st row(주)미스앤미시즈
2nd row(주)스마투스코리아
3rd row엔사이터(주)
4th row예비창업자(이상민)
5th row주식회사 에이도스메카
ValueCountFrequency (%)
주식회사 1162
 
15.2%
농업회사법인 51
 
0.7%
예비창업자 43
 
0.6%
유한회사 14
 
0.2%
lab 10
 
0.1%
협동조합 9
 
0.1%
예비창업 9
 
0.1%
디자인 7
 
0.1%
주 6
 
0.1%
유한책임회사 5
 
0.1%
Other values (6229) 6321
82.8%
2023-12-13T07:19:20.760628image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 3272
 
7.3%
) 2252
 
5.0%
( 2247
 
5.0%
이 2127
 
4.7%
스 1569
 
3.5%
1554
 
3.5%
사 1461
 
3.2%
회 1380
 
3.1%
식 1269
 
2.8%
에 889
 
2.0%
Other values (879) 26995
60.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 37643
83.6%
Close Punctuation 2253
 
5.0%
Open Punctuation 2248
 
5.0%
Space Separator 1554
 
3.5%
Uppercase Letter 744
 
1.7%
Lowercase Letter 361
 
0.8%
Other Symbol 96
 
0.2%
Decimal Number 63
 
0.1%
Other Punctuation 50
 
0.1%
Connector Punctuation 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 3272
 
8.7%
이 2127
 
5.7%
스 1569
 
4.2%
사 1461
 
3.9%
회 1380
 
3.7%
식 1269
 
3.4%
에 889
 
2.4%
리 583
 
1.5%
아 568
 
1.5%
오 489
 
1.3%
Other values (807) 24036
63.9%
Uppercase Letter
ValueCountFrequency (%)
S 73
 
9.8%
E 57
 
7.7%
A 53
 
7.1%
C 53
 
7.1%
T 51
 
6.9%
N 42
 
5.6%
M 42
 
5.6%
L 41
 
5.5%
I 36
 
4.8%
D 36
 
4.8%
Other values (16) 260
34.9%
Lowercase Letter
ValueCountFrequency (%)
e 37
 
10.2%
n 30
 
8.3%
t 30
 
8.3%
a 29
 
8.0%
o 28
 
7.8%
i 26
 
7.2%
s 23
 
6.4%
c 22
 
6.1%
b 17
 
4.7%
r 16
 
4.4%
Other values (15) 103
28.5%
Decimal Number
ValueCountFrequency (%)
1 15
23.8%
3 14
22.2%
2 12
19.0%
4 7
11.1%
5 5
 
7.9%
0 4
 
6.3%
9 2
 
3.2%
6 2
 
3.2%
7 2
 
3.2%
Other Punctuation
ValueCountFrequency (%)
& 26
52.0%
. 20
40.0%
, 2
 
4.0%
: 1
 
2.0%
! 1
 
2.0%
Close Punctuation
ValueCountFrequency (%)
) 2252
> 99.9%
] 1
 
< 0.1%
Open Punctuation
ValueCountFrequency (%)
( 2247
> 99.9%
[ 1
 
< 0.1%
Space Separator
ValueCountFrequency (%)
1554
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 96
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 37738
83.8%
Common 6171
 
13.7%
Latin 1105
 
2.5%
Han 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 3272
 
8.7%
이 2127
 
5.6%
스 1569
 
4.2%
사 1461
 
3.9%
회 1380
 
3.7%
식 1269
 
3.4%
에 889
 
2.4%
리 583
 
1.5%
아 568
 
1.5%
오 489
 
1.3%
Other values (807) 24131
63.9%
Latin
ValueCountFrequency (%)
S 73
 
6.6%
E 57
 
5.2%
A 53
 
4.8%
C 53
 
4.8%
T 51
 
4.6%
N 42
 
3.8%
M 42
 
3.8%
L 41
 
3.7%
e 37
 
3.3%
I 36
 
3.3%
Other values (41) 620
56.1%
Common
ValueCountFrequency (%)
) 2252
36.5%
( 2247
36.4%
1554
25.2%
& 26
 
0.4%
. 20
 
0.3%
1 15
 
0.2%
3 14
 
0.2%
2 12
 
0.2%
4 7
 
0.1%
5 5
 
0.1%
Other values (10) 19
 
0.3%
Han
ValueCountFrequency (%)
診 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 37642
83.6%
ASCII 7276
 
16.2%
None 96
 
0.2%
CJK 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 3272
 
8.7%
이 2127
 
5.7%
스 1569
 
4.2%
사 1461
 
3.9%
회 1380
 
3.7%
식 1269
 
3.4%
에 889
 
2.4%
리 583
 
1.5%
아 568
 
1.5%
오 489
 
1.3%
Other values (806) 24035
63.9%
ASCII
ValueCountFrequency (%)
) 2252
31.0%
( 2247
30.9%
1554
21.4%
S 73
 
1.0%
E 57
 
0.8%
A 53
 
0.7%
C 53
 
0.7%
T 51
 
0.7%
N 42
 
0.6%
M 42
 
0.6%
Other values (61) 852
 
11.7%
None
ValueCountFrequency (%)
㈜ 96
100.0%
CJK
ValueCountFrequency (%)
診 1
100.0%

대표자명
Text

Distinct5368
Distinct (%)88.2%
Missing0
Missing (%)0.0%
Memory size47.7 KiB
2023-12-13T07:19:21.116328image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length3
Mean length3.0695381
Min length2

Characters and Unicode

Total characters18672
Distinct characters359
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

Unique4844 ?
Unique (%)79.6%

Sample

1st row정슬기
2nd row손호정
3rd row박희원
4th row이상민
5th row김기덕
ValueCountFrequency (%)
김민정 9
 
0.1%
윤훈주 9
 
0.1%
이수진 6
 
0.1%
이상훈 6
 
0.1%
김영호 6
 
0.1%
김성민 5
 
0.1%
이상현 5
 
0.1%
이동규 5
 
0.1%
이주영 5
 
0.1%
김미경 5
 
0.1%
Other values (5407) 6096
99.0%
2023-12-13T07:19:21.562257image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
김 1309
 
7.0%
이 870
 
4.7%
정 606
 
3.2%
박 532
 
2.8%
영 471
 
2.5%
현 444
 
2.4%
진 414
 
2.2%
성 367
 
2.0%
호 318
 
1.7%
수 316
 
1.7%
Other values (349) 13025
69.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 18401
98.5%
Uppercase Letter 94
 
0.5%
Space Separator 75
 
0.4%
Other Punctuation 61
 
0.3%
Lowercase Letter 21
 
0.1%
Close Punctuation 7
 
< 0.1%
Open Punctuation 7
 
< 0.1%
Decimal Number 5
 
< 0.1%
Other Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
김 1309
 
7.1%
이 870
 
4.7%
정 606
 
3.3%
박 532
 
2.9%
영 471
 
2.6%
현 444
 
2.4%
진 414
 
2.2%
성 367
 
2.0%
호 318
 
1.7%
수 316
 
1.7%
Other values (311) 12754
69.3%
Uppercase Letter
ValueCountFrequency (%)
A 10
10.6%
I 10
10.6%
N 9
 
9.6%
O 8
 
8.5%
L 7
 
7.4%
K 6
 
6.4%
U 6
 
6.4%
G 6
 
6.4%
E 5
 
5.3%
C 4
 
4.3%
Other values (10) 23
24.5%
Lowercase Letter
ValueCountFrequency (%)
a 4
19.0%
i 4
19.0%
m 3
14.3%
n 2
9.5%
h 2
9.5%
t 2
9.5%
r 1
 
4.8%
y 1
 
4.8%
u 1
 
4.8%
c 1
 
4.8%
Other Punctuation
ValueCountFrequency (%)
, 60
98.4%
. 1
 
1.6%
Decimal Number
ValueCountFrequency (%)
1 4
80.0%
5 1
 
20.0%
Space Separator
ValueCountFrequency (%)
75
100.0%
Close Punctuation
ValueCountFrequency (%)
) 7
100.0%
Open Punctuation
ValueCountFrequency (%)
( 7
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 18402
98.6%
Common 155
 
0.8%
Latin 115
 
0.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
김 1309
 
7.1%
이 870
 
4.7%
정 606
 
3.3%
박 532
 
2.9%
영 471
 
2.6%
현 444
 
2.4%
진 414
 
2.2%
성 367
 
2.0%
호 318
 
1.7%
수 316
 
1.7%
Other values (312) 12755
69.3%
Latin
ValueCountFrequency (%)
A 10
 
8.7%
I 10
 
8.7%
N 9
 
7.8%
O 8
 
7.0%
L 7
 
6.1%
K 6
 
5.2%
U 6
 
5.2%
G 6
 
5.2%
E 5
 
4.3%
C 4
 
3.5%
Other values (20) 44
38.3%
Common
ValueCountFrequency (%)
75
48.4%
, 60
38.7%
) 7
 
4.5%
( 7
 
4.5%
1 4
 
2.6%
5 1
 
0.6%
. 1
 
0.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 18401
98.5%
ASCII 270
 
1.4%
None 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
김 1309
 
7.1%
이 870
 
4.7%
정 606
 
3.3%
박 532
 
2.9%
영 471
 
2.6%
현 444
 
2.4%
진 414
 
2.2%
성 367
 
2.0%
호 318
 
1.7%
수 316
 
1.7%
Other values (311) 12754
69.3%
ASCII
ValueCountFrequency (%)
75
27.8%
, 60
22.2%
A 10
 
3.7%
I 10
 
3.7%
N 9
 
3.3%
O 8
 
3.0%
L 7
 
2.6%
) 7
 
2.6%
( 7
 
2.6%
K 6
 
2.2%
Other values (27) 71
26.3%
None
ValueCountFrequency (%)
㈜ 1
100.0%

창업일
Date

Distinct1987
Distinct (%)32.7%
Missing0
Missing (%)0.0%
Memory size47.7 KiB
Minimum1987-09-01 00:00:00
Maximum2029-10-31 00:00:00
2023-12-13T07:19:21.703383image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:19:21.835498image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

입주일
Date

Distinct1340
Distinct (%)22.0%
Missing0
Missing (%)0.0%
Memory size47.7 KiB
Minimum2011-04-01 00:00:00
Maximum2023-08-28 00:00:00
2023-12-13T07:19:21.971528image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:19:22.102327image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

기업형태
Categorical

Distinct4
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size47.7 KiB
법인기업
3610 
개인기업
2212 
예비창업
 
260
해외사업자
 
1

Length

Max length5
Median length4
Mean length4.0001644
Min length4

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

1st row법인기업
2nd row법인기업
3rd row법인기업
4th row예비창업
5th row법인기업

Common Values

ValueCountFrequency (%)
법인기업 3610
59.3%
개인기업 2212
36.4%
예비창업 260
 
4.3%
해외사업자 1
 
< 0.1%

Length

2023-12-13T07:19:22.246593image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T07:19:22.355753image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
법인기업 3610
59.3%
개인기업 2212
36.4%
예비창업 260
 
4.3%
해외사업자 1
 
< 0.1%

업종
Categorical

Distinct18
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size47.7 KiB
기타서비스업
984 
정보처리및컴퓨터관련업
919 
기계/장비제조업
726 
바이오/환경산업
606 
생활용품제조업
562 
Other values (13)
2286 

Length

Max length11
Median length10
Mean length8.1140884
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row기타서비스업
2nd row의료/정밀등제조업
3rd row연구개발/과학서비스업
4th row연구개발/과학서비스업
5th row전자부품등제조업

Common Values

ValueCountFrequency (%)
기타서비스업 984
16.2%
정보처리및컴퓨터관련업 919
15.1%
기계/장비제조업 726
11.9%
바이오/환경산업 606
10.0%
생활용품제조업 562
9.2%
연구개발/과학서비스업 446
7.3%
전자부품등제조업 367
 
6.0%
1차산업 241
 
4.0%
전기관련제조업 228
 
3.7%
의료/정밀등제조업 212
 
3.5%
Other values (8) 792
13.0%

Length

2023-12-13T07:19:22.467591image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
기타서비스업 984
16.2%
정보처리및컴퓨터관련업 919
15.1%
기계/장비제조업 726
11.9%
바이오/환경산업 606
10.0%
생활용품제조업 562
9.2%
연구개발/과학서비스업 446
7.3%
전자부품등제조업 367
 
6.0%
1차산업 241
 
4.0%
전기관련제조업 228
 
3.7%
의료/정밀등제조업 212
 
3.5%
Other values (8) 792
13.0%

주생산품
Text

Distinct5517
Distinct (%)91.0%
Missing22
Missing (%)0.4%
Memory size47.7 KiB
2023-12-13T07:19:22.733753image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length105
Median length56
Mean length12.846065
Min length1

Characters and Unicode

Total characters77860
Distinct characters895
Distinct categories14 ?
Distinct scripts4 ?
Distinct blocks9 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique5330 ?
Unique (%)87.9%

Sample

1st row모바일 플랫폼 개발
2nd row연구개발업
3rd row연구개발업
4th row연구개발업
5th row연구개발업
ValueCountFrequency (%)
및 905
 
4.9%
개발 612
 
3.3%
플랫폼 273
 
1.5%
시스템 236
 
1.3%
제조 201
 
1.1%
화장품 179
 
1.0%
서비스 177
 
1.0%
소프트웨어 139
 
0.8%
활용한 117
 
0.6%
제작 115
 
0.6%
Other values (8198) 15367
83.9%
2023-12-13T07:19:23.189263image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
12290
 
15.8%
기 1920
 
2.5%
스 1456
 
1.9%
제 1219
 
1.6%
발 1092
 
1.4%
용 1078
 
1.4%
개 1067
 
1.4%
품 967
 
1.2%
이 965
 
1.2%
및 948
 
1.2%
Other values (885) 54858
70.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 59682
76.7%
Space Separator 12290
 
15.8%
Uppercase Letter 2522
 
3.2%
Lowercase Letter 1567
 
2.0%
Other Punctuation 1143
 
1.5%
Open Punctuation 226
 
0.3%
Close Punctuation 225
 
0.3%
Decimal Number 187
 
0.2%
Final Punctuation 5
 
< 0.1%
Initial Punctuation 5
 
< 0.1%
Other values (4) 8
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
기 1920
 
3.2%
스 1456
 
2.4%
제 1219
 
2.0%
발 1092
 
1.8%
용 1078
 
1.8%
개 1067
 
1.8%
품 967
 
1.6%
이 965
 
1.6%
및 948
 
1.6%
장 795
 
1.3%
Other values (805) 48175
80.7%
Uppercase Letter
ValueCountFrequency (%)
I 293
11.6%
A 229
 
9.1%
D 219
 
8.7%
T 200
 
7.9%
C 183
 
7.3%
S 178
 
7.1%
R 143
 
5.7%
P 138
 
5.5%
E 136
 
5.4%
O 130
 
5.2%
Other values (16) 673
26.7%
Lowercase Letter
ValueCountFrequency (%)
o 186
11.9%
e 162
10.3%
i 138
 
8.8%
a 123
 
7.8%
r 120
 
7.7%
t 116
 
7.4%
l 115
 
7.3%
n 93
 
5.9%
s 91
 
5.8%
c 60
 
3.8%
Other values (16) 363
23.2%
Decimal Number
ValueCountFrequency (%)
3 96
51.3%
2 44
23.5%
1 18
 
9.6%
5 12
 
6.4%
0 10
 
5.3%
4 3
 
1.6%
6 3
 
1.6%
9 1
 
0.5%
Other Punctuation
ValueCountFrequency (%)
, 947
82.9%
/ 152
 
13.3%
. 15
 
1.3%
& 11
 
1.0%
· 11
 
1.0%
: 6
 
0.5%
% 1
 
0.1%
Final Punctuation
ValueCountFrequency (%)
’ 3
60.0%
” 2
40.0%
Initial Punctuation
ValueCountFrequency (%)
‘ 3
60.0%
“ 2
40.0%
Other Number
ValueCountFrequency (%)
₃ 1
50.0%
₂ 1
50.0%
Other Symbol
ValueCountFrequency (%)
℃ 1
50.0%
□ 1
50.0%
Space Separator
ValueCountFrequency (%)
12290
100.0%
Open Punctuation
ValueCountFrequency (%)
( 226
100.0%
Close Punctuation
ValueCountFrequency (%)
) 225
100.0%
Math Symbol
ValueCountFrequency (%)
+ 3
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 59679
76.6%
Common 14089
 
18.1%
Latin 4089
 
5.3%
Han 3
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
기 1920
 
3.2%
스 1456
 
2.4%
제 1219
 
2.0%
발 1092
 
1.8%
용 1078
 
1.8%
개 1067
 
1.8%
품 967
 
1.6%
이 965
 
1.6%
및 948
 
1.6%
장 795
 
1.3%
Other values (802) 48172
80.7%
Latin
ValueCountFrequency (%)
I 293
 
7.2%
A 229
 
5.6%
D 219
 
5.4%
T 200
 
4.9%
o 186
 
4.5%
C 183
 
4.5%
S 178
 
4.4%
e 162
 
4.0%
R 143
 
3.5%
P 138
 
3.4%
Other values (42) 2158
52.8%
Common
ValueCountFrequency (%)
12290
87.2%
, 947
 
6.7%
( 226
 
1.6%
) 225
 
1.6%
/ 152
 
1.1%
3 96
 
0.7%
2 44
 
0.3%
1 18
 
0.1%
. 15
 
0.1%
5 12
 
0.1%
Other values (18) 64
 
0.5%
Han
ValueCountFrequency (%)
米 1
33.3%
用 1
33.3%
茶 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 59676
76.6%
ASCII 18153
 
23.3%
None 13
 
< 0.1%
Punctuation 10
 
< 0.1%
Compat Jamo 3
 
< 0.1%
CJK 2
 
< 0.1%
Letterlike Symbols 1
 
< 0.1%
Geometric Shapes 1
 
< 0.1%
CJK Compat Ideographs 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
12290
67.7%
, 947
 
5.2%
I 293
 
1.6%
A 229
 
1.3%
( 226
 
1.2%
) 225
 
1.2%
D 219
 
1.2%
T 200
 
1.1%
o 186
 
1.0%
C 183
 
1.0%
Other values (61) 3155
 
17.4%
Hangul
ValueCountFrequency (%)
기 1920
 
3.2%
스 1456
 
2.4%
제 1219
 
2.0%
발 1092
 
1.8%
용 1078
 
1.8%
개 1067
 
1.8%
품 967
 
1.6%
이 965
 
1.6%
및 948
 
1.6%
장 795
 
1.3%
Other values (799) 48169
80.7%
None
ValueCountFrequency (%)
· 11
84.6%
₃ 1
 
7.7%
₂ 1
 
7.7%
Punctuation
ValueCountFrequency (%)
’ 3
30.0%
‘ 3
30.0%
“ 2
20.0%
” 2
20.0%
CJK
ValueCountFrequency (%)
米 1
50.0%
用 1
50.0%
Compat Jamo
ValueCountFrequency (%)
ㆍ 1
33.3%
ㅣ 1
33.3%
ㄹ 1
33.3%
Letterlike Symbols
ValueCountFrequency (%)
℃ 1
100.0%
Geometric Shapes
ValueCountFrequency (%)
□ 1
100.0%
CJK Compat Ideographs
ValueCountFrequency (%)
茶 1
100.0%

Interactions

2023-12-13T07:19:17.669580image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T07:19:23.272044image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
구분소재지기업형태업종
구분1.0000.9670.0740.271
소재지0.9671.0000.1640.313
기업형태0.0740.1641.0000.222
업종0.2710.3130.2221.000
2023-12-13T07:19:23.368626image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
소재지기업형태업종
소재지1.0000.0920.102
기업형태0.0921.0000.123
업종0.1020.1231.000
2023-12-13T07:19:23.443767image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
구분소재지기업형태업종
구분1.0000.8460.0440.107
소재지0.8461.0000.0920.102
기업형태0.0440.0921.0000.123
업종0.1070.1020.1231.000

Missing values

2023-12-13T07:19:17.835419image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T07:19:18.015352image/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

구분소재지센터명기관명기업명대표자명창업일입주일기업형태업종주생산품
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78서울특별시SINNOVATION(에스이노베이션)서울대학교기술지주㈜NFT Lab장지훈2023-03-012023-02-16개인기업정보처리및컴퓨터관련업응용 소프트웨어 개발 및 공급
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910서울특별시SINNOVATION(에스이노베이션)서울대학교기술지주㈜람다알고황선종2021-01-042022-02-04법인기업기타서비스업앱/웹 교육서비스
구분소재지센터명기관명기업명대표자명창업일입주일기업형태업종주생산품
60736074제주특별자치도제주대학교 창업보육센터제주대학교홍익글로벌황경희2016-06-012017-07-01개인기업바이오/환경산업곽향 화장품
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60756076제주특별자치도제주한라대학교창업보육센터제주한라대학교농업회사법인 주식회사 제코팜컴퍼니강성욱2021-06-252022-10-01법인기업자원/에너지산업튜브잼, 감귤젤리
60766077제주특별자치도제주한라대학교창업보육센터제주한라대학교라온소프트웨어김민석2019-10-012019-11-01개인기업정보처리및컴퓨터관련업어플리케이션 개발
60776078제주특별자치도제주한라대학교창업보육센터제주한라대학교비덕션(VIDUCTION)강동호2020-03-032022-10-01개인기업기타서비스업미디어콘텐츠창작(광고홍보영상)
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60796080제주특별자치도제주한라대학교창업보육센터제주한라대학교제주한라대학교기술지주주식회사최세린2020-12-162020-12-16법인기업기타서비스업경영자문, 기술이전, 연구개발
60806081제주특별자치도제주한라대학교창업보육센터제주한라대학교주식회사 인플라이김민교2021-04-012021-04-01법인기업컴퓨터/사무기기제조업어플리케이션 개발
60816082제주특별자치도제주한라대학교창업보육센터제주한라대학교주식회사 핏플서성용2022-03-232022-10-01법인기업기타서비스업고단백, 저칼로리 돈육가공식품
60826083제주특별자치도제주한라대학교창업보육센터제주한라대학교주식회사 호인스컴퍼니서인호2019-05-272019-06-01법인기업정보처리및컴퓨터관련업ARBOOK 저작 서비스 플랫폼