Overview

Dataset statistics

Number of variables4
Number of observations266
Missing cells9
Missing cells (%)0.8%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory8.7 KiB
Average record size in memory33.5 B

Variable types

Text3
Numeric1

Dataset

Description한국모태펀드의 자조합을 운용하는 운용사 관련 정보(대표자명, 회사 연락처, 운용자조합 정보 등)를 제공합니다. 선정 및 결성되어 운용중인 자조합 정보만 포함합니다.
Author한국벤처투자
URLhttps://www.data.go.kr/data/3060708/fileData.do

Alerts

전화번호 has 9 (3.4%) missing valuesMissing
GP명(대표GP) has unique valuesUnique

Reproduction

Analysis started2023-12-12 22:18:35.730494
Analysis finished2023-12-12 22:18:36.230241
Duration0.5 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

GP명(대표GP)
Text

UNIQUE 

Distinct266
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
2023-12-13T07:18:36.358084image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length13
Mean length8.3571429
Min length3

Characters and Unicode

Total characters2223
Distinct characters248
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique266 ?
Unique (%)100.0%

Sample

1st row가이아벤처파트너스
2nd row강수현
3rd row경기창조경제혁신센터
4th row경남벤처투자
5th row경북대학교기술지주
ValueCountFrequency (%)
주식회사 2
 
0.7%
인터밸류파트너스 1
 
0.4%
임팩트스퀘어 1
 
0.4%
일신창업투자 1
 
0.4%
인피니툼파트너스 1
 
0.4%
인포뱅크 1
 
0.4%
인텔렉추얼디스커버리 1
 
0.4%
인터베스트 1
 
0.4%
인사이트에퀴티파트너스 1
 
0.4%
이수창업투자 1
 
0.4%
Other values (257) 257
95.9%
2023-12-13T07:18:36.693885image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
트 259
 
11.7%
스 245
 
11.0%
인 100
 
4.5%
이 97
 
4.4%
베 88
 
4.0%
먼 85
 
3.8%
파 69
 
3.1%
너 67
 
3.0%
처 58
 
2.6%
벤 55
 
2.5%
Other values (238) 1100
49.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2212
99.5%
Uppercase Letter 3
 
0.1%
Close Punctuation 2
 
0.1%
Connector Punctuation 2
 
0.1%
Open Punctuation 2
 
0.1%
Space Separator 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
트 259
 
11.7%
스 245
 
11.1%
인 100
 
4.5%
이 97
 
4.4%
베 88
 
4.0%
먼 85
 
3.8%
파 69
 
3.1%
너 67
 
3.0%
처 58
 
2.6%
벤 55
 
2.5%
Other values (231) 1089
49.2%
Uppercase Letter
ValueCountFrequency (%)
B 1
33.3%
N 1
33.3%
H 1
33.3%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Space Separator
ValueCountFrequency (%)
2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2212
99.5%
Common 8
 
0.4%
Latin 3
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
트 259
 
11.7%
스 245
 
11.1%
인 100
 
4.5%
이 97
 
4.4%
베 88
 
4.0%
먼 85
 
3.8%
파 69
 
3.1%
너 67
 
3.0%
처 58
 
2.6%
벤 55
 
2.5%
Other values (231) 1089
49.2%
Common
ValueCountFrequency (%)
) 2
25.0%
_ 2
25.0%
( 2
25.0%
2
25.0%
Latin
ValueCountFrequency (%)
B 1
33.3%
N 1
33.3%
H 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2212
99.5%
ASCII 11
 
0.5%

Most frequent character per block

Hangul
ValueCountFrequency (%)
트 259
 
11.7%
스 245
 
11.1%
인 100
 
4.5%
이 97
 
4.4%
베 88
 
4.0%
먼 85
 
3.8%
파 69
 
3.1%
너 67
 
3.0%
처 58
 
2.6%
벤 55
 
2.5%
Other values (231) 1089
49.2%
ASCII
ValueCountFrequency (%)
) 2
18.2%
_ 2
18.2%
( 2
18.2%
2
18.2%
B 1
9.1%
N 1
9.1%
H 1
9.1%

대표자명
Text

Distinct263
Distinct (%)98.9%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
2023-12-13T07:18:37.018520image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length3
Mean length3.962406
Min length2

Characters and Unicode

Total characters1054
Distinct characters169
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

Unique260 ?
Unique (%)97.7%

Sample

1st row김학윤
2nd row강수현
3rd row신현삼
4th row조국형
5th row박춘욱
ValueCountFrequency (%)
김지현 2
 
0.6%
김영석 2
 
0.6%
김정국 2
 
0.6%
김은섭 2
 
0.6%
이상진 2
 
0.6%
신진오 2
 
0.6%
유선석 2
 
0.6%
송병헌 2
 
0.6%
김동준 2
 
0.6%
이정훈 2
 
0.6%
Other values (294) 294
93.6%
2023-12-13T07:18:37.448574image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
김 72
 
6.8%
이 53
 
5.0%
49
 
4.6%
, 42
 
4.0%
정 33
 
3.1%
박 25
 
2.4%
승 23
 
2.2%
진 23
 
2.2%
영 22
 
2.1%
현 21
 
2.0%
Other values (159) 691
65.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 924
87.7%
Space Separator 49
 
4.6%
Other Punctuation 43
 
4.1%
Uppercase Letter 27
 
2.6%
Lowercase Letter 11
 
1.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
김 72
 
7.8%
이 53
 
5.7%
정 33
 
3.6%
박 25
 
2.7%
승 23
 
2.5%
진 23
 
2.5%
영 22
 
2.4%
현 21
 
2.3%
준 20
 
2.2%
성 20
 
2.2%
Other values (136) 612
66.2%
Uppercase Letter
ValueCountFrequency (%)
N 6
22.2%
H 3
11.1%
U 3
11.1%
Y 3
11.1%
O 3
11.1%
A 2
 
7.4%
G 2
 
7.4%
K 1
 
3.7%
J 1
 
3.7%
E 1
 
3.7%
Other values (2) 2
 
7.4%
Lowercase Letter
ValueCountFrequency (%)
k 2
18.2%
u 2
18.2%
n 2
18.2%
e 1
9.1%
g 1
9.1%
i 1
9.1%
m 1
9.1%
s 1
9.1%
Other Punctuation
ValueCountFrequency (%)
, 42
97.7%
/ 1
 
2.3%
Space Separator
ValueCountFrequency (%)
49
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 924
87.7%
Common 92
 
8.7%
Latin 38
 
3.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
김 72
 
7.8%
이 53
 
5.7%
정 33
 
3.6%
박 25
 
2.7%
승 23
 
2.5%
진 23
 
2.5%
영 22
 
2.4%
현 21
 
2.3%
준 20
 
2.2%
성 20
 
2.2%
Other values (136) 612
66.2%
Latin
ValueCountFrequency (%)
N 6
15.8%
H 3
 
7.9%
U 3
 
7.9%
Y 3
 
7.9%
O 3
 
7.9%
A 2
 
5.3%
G 2
 
5.3%
k 2
 
5.3%
u 2
 
5.3%
n 2
 
5.3%
Other values (10) 10
26.3%
Common
ValueCountFrequency (%)
49
53.3%
, 42
45.7%
/ 1
 
1.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 924
87.7%
ASCII 130
 
12.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
김 72
 
7.8%
이 53
 
5.7%
정 33
 
3.6%
박 25
 
2.7%
승 23
 
2.5%
진 23
 
2.5%
영 22
 
2.4%
현 21
 
2.3%
준 20
 
2.2%
성 20
 
2.2%
Other values (136) 612
66.2%
ASCII
ValueCountFrequency (%)
49
37.7%
, 42
32.3%
N 6
 
4.6%
H 3
 
2.3%
U 3
 
2.3%
Y 3
 
2.3%
O 3
 
2.3%
A 2
 
1.5%
G 2
 
1.5%
k 2
 
1.5%
Other values (13) 15
 
11.5%

전화번호
Text

MISSING 

Distinct256
Distinct (%)99.6%
Missing9
Missing (%)3.4%
Memory size2.2 KiB
2023-12-13T07:18:37.726524image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length9
Mean length8.692607
Min length8

Characters and Unicode

Total characters2234
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

Unique255 ?
Unique (%)99.2%

Sample

1st row264515656
2nd row3180161102
3rd row556060014
4th row539502371
5th row232905894
ValueCountFrequency (%)
25013714 2
 
0.8%
317065494 1
 
0.4%
25550781 1
 
0.4%
537533232 1
 
0.4%
533419222 1
 
0.4%
222896273 1
 
0.4%
234875375 1
 
0.4%
25640494 1
 
0.4%
25517340 1
 
0.4%
260048000 1
 
0.4%
Other values (248) 248
95.8%
2023-12-13T07:18:38.142546image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 413
18.5%
0 327
14.6%
5 289
12.9%
1 213
9.5%
6 205
9.2%
3 185
8.3%
4 172
7.7%
7 152
 
6.8%
8 146
 
6.5%
9 130
 
5.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2232
99.9%
Space Separator 2
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 413
18.5%
0 327
14.7%
5 289
12.9%
1 213
9.5%
6 205
9.2%
3 185
8.3%
4 172
7.7%
7 152
 
6.8%
8 146
 
6.5%
9 130
 
5.8%
Space Separator
ValueCountFrequency (%)
2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2234
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 413
18.5%
0 327
14.6%
5 289
12.9%
1 213
9.5%
6 205
9.2%
3 185
8.3%
4 172
7.7%
7 152
 
6.8%
8 146
 
6.5%
9 130
 
5.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2234
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 413
18.5%
0 327
14.6%
5 289
12.9%
1 213
9.5%
6 205
9.2%
3 185
8.3%
4 172
7.7%
7 152
 
6.8%
8 146
 
6.5%
9 130
 
5.8%

자조합 규모(백만원)
Real number (ℝ)

Distinct222
Distinct (%)83.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean140778.12
Minimum1100
Maximum1742613
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.5 KiB
2023-12-13T07:18:38.289140image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1100
5-th percentile5032.5
Q120000
median53750
Q3161250
95-th percentile569758.5
Maximum1742613
Range1741513
Interquartile range (IQR)141250

Descriptive statistics

Standard deviation235455.28
Coefficient of variation (CV)1.6725276
Kurtosis17.007628
Mean140778.12
Median Absolute Deviation (MAD)43200
Skewness3.6649275
Sum37446979
Variance5.5439189 × 1010
MonotonicityNot monotonic
2023-12-13T07:18:38.471590image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
10000 9
 
3.4%
20000 8
 
3.0%
15000 5
 
1.9%
30000 5
 
1.9%
45000 4
 
1.5%
5000 3
 
1.1%
42000 3
 
1.1%
123500 2
 
0.8%
44750 2
 
0.8%
20210 2
 
0.8%
Other values (212) 223
83.8%
ValueCountFrequency (%)
1100 1
 
0.4%
1700 1
 
0.4%
2000 1
 
0.4%
2040 1
 
0.4%
2700 1
 
0.4%
3100 1
 
0.4%
3235 1
 
0.4%
4050 1
 
0.4%
4500 1
 
0.4%
5000 3
1.1%
ValueCountFrequency (%)
1742613 1
0.4%
1655300 1
0.4%
1182700 1
0.4%
1090800 1
0.4%
936000 1
0.4%
903820 1
0.4%
896720 1
0.4%
857460 1
0.4%
818592 1
0.4%
749250 1
0.4%

Interactions

2023-12-13T07:18:35.983554image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Missing values

2023-12-13T07:18:36.106848image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T07:18:36.193913image/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

GP명(대표GP)대표자명전화번호자조합 규모(백만원)
0가이아벤처파트너스김학윤264515656108950
1강수현강수현<NA>5380
2경기창조경제혁신센터신현삼31801611025100
3경남벤처투자조국형55606001437600
4경북대학교기술지주박춘욱5395023712000
5고려대학교기술지주장재수23290589417000
6골드레인인베스트먼트이상혁2541208527500
7광주지역대학연합기술지주김요수6260274023100
8국민대학교기술지주오하령291053012040
9나우아이비캐피탈이승원25656234300000
GP명(대표GP)대표자명전화번호자조합 규모(백만원)
256한밭대학교기술지주임종태4282119461100
257한빛인베스트먼트이정수, 장호상2521714110000
258한양대학교기술지주회사이병희2222040718910
259한화투자증권권희백237727457307800
260현대기술투자권토마스오윤27288990203100
261현대투자파트너스김민엽23782778537000
262화이텍인베스트먼트원동혁2569600520000
263(말소_신기사)케이티비네트워크신진오22184281220000
264(말소_창투사)이앤인베스트먼트유선석, 송병헌2501371410000
265NBH캐피탈이범희26471066232200