Overview

Dataset statistics

Number of variables7
Number of observations1125
Missing cells1
Missing cells (%)< 0.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory64.9 KiB
Average record size in memory59.1 B

Variable types

Numeric3
Text2
DateTime2

Dataset

Description한국모태펀드의 출자를 받은 자조합(벤처투자조합, 신기술투자조합, PEF 등)의 결성총액 및 투자금액 현황입니다.
Author한국벤처투자
URLhttps://www.data.go.kr/data/15091209/fileData.do

Alerts

결성총액 is highly overall correlated with 투자금액 High correlation
투자금액 is highly overall correlated with 결성총액 High correlation
연번 has unique valuesUnique
조합명 has unique valuesUnique
투자금액 has 61 (5.4%) zerosZeros

Reproduction

Analysis started2023-12-12 03:37:02.310810
Analysis finished2023-12-12 03:37:04.449234
Duration2.14 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct1125
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean563
Minimum1
Maximum1125
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size10.0 KiB
2023-12-12T12:37:04.560371image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile57.2
Q1282
median563
Q3844
95-th percentile1068.8
Maximum1125
Range1124
Interquartile range (IQR)562

Descriptive statistics

Standard deviation324.90383
Coefficient of variation (CV)0.57709384
Kurtosis-1.2
Mean563
Median Absolute Deviation (MAD)281
Skewness0
Sum633375
Variance105562.5
MonotonicityStrictly increasing
2023-12-12T12:37:04.747881image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.1%
749 1
 
0.1%
755 1
 
0.1%
754 1
 
0.1%
753 1
 
0.1%
752 1
 
0.1%
751 1
 
0.1%
750 1
 
0.1%
748 1
 
0.1%
757 1
 
0.1%
Other values (1115) 1115
99.1%
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 (%)
1125 1
0.1%
1124 1
0.1%
1123 1
0.1%
1122 1
0.1%
1121 1
0.1%
1120 1
0.1%
1119 1
0.1%
1118 1
0.1%
1117 1
0.1%
1116 1
0.1%

조합명
Text

UNIQUE 

Distinct1125
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size8.9 KiB
2023-12-12T12:37:05.159103image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length42
Median length33
Mean length16.812444
Min length6

Characters and Unicode

Total characters18914
Distinct characters473
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

Unique1125 ?
Unique (%)100.0%

Sample

1st row스틱일자리창출펀드
2nd rowLG대중소기업협력펀드10호
3rd row에스엘아이5조합
4th rowK&C-경남청년일자리창출투자조합
5th row한화세컨더리펀드
ValueCountFrequency (%)
투자조합 291
 
10.1%
펀드 78
 
2.7%
개인투자조합 53
 
1.8%
1호 44
 
1.5%
2호 40
 
1.4%
스마트 38
 
1.3%
제1호 36
 
1.2%
벤처투자조합 31
 
1.1%
청년창업 25
 
0.9%
벤처펀드 22
 
0.8%
Other values (1433) 2231
77.2%
2023-12-12T12:37:05.790993image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1769
 
9.4%
865
 
4.6%
844
 
4.5%
833
 
4.4%
816
 
4.3%
493
 
2.6%
455
 
2.4%
377
 
2.0%
358
 
1.9%
326
 
1.7%
Other values (463) 11778
62.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 13682
72.3%
Space Separator 1769
 
9.4%
Uppercase Letter 1400
 
7.4%
Decimal Number 1013
 
5.4%
Lowercase Letter 634
 
3.4%
Dash Punctuation 286
 
1.5%
Other Punctuation 55
 
0.3%
Open Punctuation 34
 
0.2%
Close Punctuation 34
 
0.2%
Letter Number 7
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
865
 
6.3%
844
 
6.2%
833
 
6.1%
816
 
6.0%
493
 
3.6%
455
 
3.3%
377
 
2.8%
358
 
2.6%
326
 
2.4%
314
 
2.3%
Other values (389) 8001
58.5%
Uppercase Letter
ValueCountFrequency (%)
I 173
12.4%
K 158
11.3%
C 150
 
10.7%
S 113
 
8.1%
B 95
 
6.8%
T 88
 
6.3%
M 63
 
4.5%
P 62
 
4.4%
A 56
 
4.0%
F 54
 
3.9%
Other values (15) 388
27.7%
Lowercase Letter
ValueCountFrequency (%)
e 79
12.5%
a 74
11.7%
o 66
10.4%
r 65
10.3%
i 52
8.2%
t 52
8.2%
n 43
 
6.8%
p 34
 
5.4%
l 27
 
4.3%
m 22
 
3.5%
Other values (14) 120
18.9%
Decimal Number
ValueCountFrequency (%)
1 314
31.0%
2 252
24.9%
0 173
17.1%
3 62
 
6.1%
4 61
 
6.0%
5 49
 
4.8%
9 30
 
3.0%
6 28
 
2.8%
7 23
 
2.3%
8 21
 
2.1%
Other Punctuation
ValueCountFrequency (%)
& 37
67.3%
· 10
 
18.2%
. 4
 
7.3%
, 2
 
3.6%
: 1
 
1.8%
/ 1
 
1.8%
Letter Number
ValueCountFrequency (%)
4
57.1%
2
28.6%
1
 
14.3%
Open Punctuation
ValueCountFrequency (%)
( 33
97.1%
[ 1
 
2.9%
Close Punctuation
ValueCountFrequency (%)
) 33
97.1%
] 1
 
2.9%
Space Separator
ValueCountFrequency (%)
1769
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 286
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 13682
72.3%
Common 3191
 
16.9%
Latin 2041
 
10.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
865
 
6.3%
844
 
6.2%
833
 
6.1%
816
 
6.0%
493
 
3.6%
455
 
3.3%
377
 
2.8%
358
 
2.6%
326
 
2.4%
314
 
2.3%
Other values (389) 8001
58.5%
Latin
ValueCountFrequency (%)
I 173
 
8.5%
K 158
 
7.7%
C 150
 
7.3%
S 113
 
5.5%
B 95
 
4.7%
T 88
 
4.3%
e 79
 
3.9%
a 74
 
3.6%
o 66
 
3.2%
r 65
 
3.2%
Other values (42) 980
48.0%
Common
ValueCountFrequency (%)
1769
55.4%
1 314
 
9.8%
- 286
 
9.0%
2 252
 
7.9%
0 173
 
5.4%
3 62
 
1.9%
4 61
 
1.9%
5 49
 
1.5%
& 37
 
1.2%
( 33
 
1.0%
Other values (12) 155
 
4.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 13682
72.3%
ASCII 5215
 
27.6%
None 10
 
0.1%
Number Forms 7
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1769
33.9%
1 314
 
6.0%
- 286
 
5.5%
2 252
 
4.8%
I 173
 
3.3%
0 173
 
3.3%
K 158
 
3.0%
C 150
 
2.9%
S 113
 
2.2%
B 95
 
1.8%
Other values (60) 1732
33.2%
Hangul
ValueCountFrequency (%)
865
 
6.3%
844
 
6.2%
833
 
6.1%
816
 
6.0%
493
 
3.6%
455
 
3.3%
377
 
2.8%
358
 
2.6%
326
 
2.4%
314
 
2.3%
Other values (389) 8001
58.5%
None
ValueCountFrequency (%)
· 10
100.0%
Number Forms
ValueCountFrequency (%)
4
57.1%
2
28.6%
1
 
14.3%
Distinct266
Distinct (%)23.6%
Missing0
Missing (%)0.0%
Memory size8.9 KiB
2023-12-12T12:37:06.060614image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length13
Mean length8.2755556
Min length3

Characters and Unicode

Total characters9310
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

Unique81 ?
Unique (%)7.2%

Sample

1st row스틱벤처스
2nd row엘비인베스트먼트
3rd row에스엘인베스트먼트
4th row에스제이벤처인베스트먼트
5th row한화투자증권
ValueCountFrequency (%)
한국벤처투자 29
 
2.6%
대성창업투자 21
 
1.9%
스마일게이트인베스트먼트 20
 
1.8%
유니온투자파트너스 15
 
1.3%
엘비인베스트먼트 14
 
1.2%
한국투자파트너스 14
 
1.2%
보광인베스트먼트 13
 
1.2%
키움인베스트먼트 13
 
1.2%
미시간벤처캐피탈 13
 
1.2%
케이앤투자파트너스 13
 
1.2%
Other values (257) 962
85.4%
2023-12-12T12:37:06.464213image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1173
 
12.6%
1039
 
11.2%
472
 
5.1%
436
 
4.7%
417
 
4.5%
382
 
4.1%
311
 
3.3%
303
 
3.3%
264
 
2.8%
261
 
2.8%
Other values (238) 4252
45.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 9296
99.8%
Uppercase Letter 6
 
0.1%
Open Punctuation 2
 
< 0.1%
Connector Punctuation 2
 
< 0.1%
Close Punctuation 2
 
< 0.1%
Space Separator 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
1173
 
12.6%
1039
 
11.2%
472
 
5.1%
436
 
4.7%
417
 
4.5%
382
 
4.1%
311
 
3.3%
303
 
3.3%
264
 
2.8%
261
 
2.8%
Other values (231) 4238
45.6%
Uppercase Letter
ValueCountFrequency (%)
H 2
33.3%
B 2
33.3%
N 2
33.3%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Space Separator
ValueCountFrequency (%)
2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 9296
99.8%
Common 8
 
0.1%
Latin 6
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
1173
 
12.6%
1039
 
11.2%
472
 
5.1%
436
 
4.7%
417
 
4.5%
382
 
4.1%
311
 
3.3%
303
 
3.3%
264
 
2.8%
261
 
2.8%
Other values (231) 4238
45.6%
Common
ValueCountFrequency (%)
( 2
25.0%
_ 2
25.0%
) 2
25.0%
2
25.0%
Latin
ValueCountFrequency (%)
H 2
33.3%
B 2
33.3%
N 2
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 9296
99.8%
ASCII 14
 
0.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
1173
 
12.6%
1039
 
11.2%
472
 
5.1%
436
 
4.7%
417
 
4.5%
382
 
4.1%
311
 
3.3%
303
 
3.3%
264
 
2.8%
261
 
2.8%
Other values (231) 4238
45.6%
ASCII
ValueCountFrequency (%)
( 2
14.3%
_ 2
14.3%
) 2
14.3%
2
14.3%
H 2
14.3%
B 2
14.3%
N 2
14.3%
Distinct770
Distinct (%)68.4%
Missing0
Missing (%)0.0%
Memory size8.9 KiB
Minimum2004-06-30 00:00:00
Maximum2022-12-29 00:00:00
2023-12-12T12:37:06.607425image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:37:06.746672image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
Distinct855
Distinct (%)76.0%
Missing0
Missing (%)0.0%
Memory size8.9 KiB
Minimum2007-12-03 00:00:00
Maximum2035-11-13 00:00:00
2023-12-12T12:37:06.907989image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:37:07.057765image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

결성총액
Real number (ℝ)

HIGH CORRELATION 

Distinct360
Distinct (%)32.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean33286.204
Minimum1000
Maximum350000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size10.0 KiB
2023-12-12T12:37:07.207401image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1000
5-th percentile5000
Q112500
median20000
Q337400
95-th percentile106396.8
Maximum350000
Range349000
Interquartile range (IQR)24900

Descriptive statistics

Standard deviation39821.988
Coefficient of variation (CV)1.1963512
Kurtosis20.419874
Mean33286.204
Median Absolute Deviation (MAD)10000
Skewness3.8400931
Sum37446979
Variance1.5857907 × 109
MonotonicityNot monotonic
2023-12-12T12:37:07.378514image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
10000 105
 
9.3%
20000 89
 
7.9%
30000 74
 
6.6%
15000 58
 
5.2%
5000 27
 
2.4%
40000 26
 
2.3%
50000 26
 
2.3%
25000 25
 
2.2%
12500 17
 
1.5%
17000 14
 
1.2%
Other values (350) 664
59.0%
ValueCountFrequency (%)
1000 1
 
0.1%
1002 2
 
0.2%
1100 1
 
0.1%
1530 1
 
0.1%
1700 1
 
0.1%
2000 3
 
0.3%
2040 1
 
0.1%
2700 1
 
0.1%
2740 1
 
0.1%
3000 11
1.0%
ValueCountFrequency (%)
350000 2
0.2%
341020 1
 
0.1%
337427 1
 
0.1%
291876 1
 
0.1%
285000 1
 
0.1%
281000 1
 
0.1%
261300 1
 
0.1%
257000 1
 
0.1%
203000 1
 
0.1%
200000 3
0.3%

투자금액
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct1004
Distinct (%)89.3%
Missing1
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean25038.341
Minimum0
Maximum340097
Zeros61
Zeros (%)5.4%
Negative0
Negative (%)0.0%
Memory size10.0 KiB
2023-12-12T12:37:07.526112image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q18227
median15398
Q328718.75
95-th percentile84083.95
Maximum340097
Range340097
Interquartile range (IQR)20491.75

Descriptive statistics

Standard deviation32762.918
Coefficient of variation (CV)1.3085099
Kurtosis25.884996
Mean25038.341
Median Absolute Deviation (MAD)10008
Skewness4.0804671
Sum28143095
Variance1.0734088 × 109
MonotonicityNot monotonic
2023-12-12T12:37:07.665541image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 61
 
5.4%
3000 6
 
0.5%
2500 5
 
0.4%
500 4
 
0.4%
1000 4
 
0.4%
8800 3
 
0.3%
8000 3
 
0.3%
16501 3
 
0.3%
5500 2
 
0.2%
2000 2
 
0.2%
Other values (994) 1031
91.6%
ValueCountFrequency (%)
0 61
5.4%
201 1
 
0.1%
250 2
 
0.2%
300 1
 
0.1%
320 1
 
0.1%
377 1
 
0.1%
400 1
 
0.1%
500 4
 
0.4%
501 1
 
0.1%
540 1
 
0.1%
ValueCountFrequency (%)
340097 1
0.1%
334457 1
0.1%
300907 1
0.1%
285138 1
0.1%
206589 1
0.1%
195606 1
0.1%
177287 1
0.1%
171537 1
0.1%
163937 1
0.1%
162366 1
0.1%

Interactions

2023-12-12T12:37:03.756056image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:37:02.968299image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:37:03.341299image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:37:03.895979image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:37:03.082582image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:37:03.488527image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:37:04.028819image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:37:03.219589image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:37:03.634679image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T12:37:07.761363image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번결성총액투자금액
연번1.0000.0860.122
결성총액0.0861.0000.939
투자금액0.1220.9391.000
2023-12-12T12:37:07.842704image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번결성총액투자금액
연번1.0000.043-0.363
결성총액0.0431.0000.681
투자금액-0.3630.6811.000

Missing values

2023-12-12T12:37:04.239603image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T12:37:04.393272image/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

연번조합명대표(GP)조합결성일투자완료일결성총액투자금액
01스틱일자리창출펀드스틱벤처스2004-06-302008-06-293340033156
12LG대중소기업협력펀드10호엘비인베스트먼트2004-08-252009-08-242500021783
23에스엘아이5조합에스엘인베스트먼트2004-09-162008-09-152690425416
34K&C-경남청년일자리창출투자조합에스제이벤처인베스트먼트2004-10-282009-10-272000038100
45한화세컨더리펀드한화투자증권2004-12-032007-12-032000018783
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