Overview

Dataset statistics

Number of variables19
Number of observations21
Missing cells100
Missing cells (%)25.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory3.5 KiB
Average record size in memory170.3 B

Variable types

Text1
DateTime5
Numeric12
Categorical1

Dataset

Description한국모태펀드 출자를 위한 출자사업 공고, 접수, 심사 및 최종 선정 결과 현황(조합 수, 결성예정액, 출자요청액)입니다. 매 분기 업데이트됩니다.
Author한국벤처투자(주)
URLhttps://www.data.go.kr/data/15091213/fileData.do

Alerts

(신청)조합수 is highly overall correlated with (신청)결성예정액 and 10 other fieldsHigh correlation
(신청)결성예정액 is highly overall correlated with (신청)조합수 and 10 other fieldsHigh correlation
(신청)출자신청액 is highly overall correlated with (신청)조합수 and 10 other fieldsHigh correlation
(서류)조합수 is highly overall correlated with (신청)조합수 and 11 other fieldsHigh correlation
(서류)결성예정액 is highly overall correlated with (신청)조합수 and 11 other fieldsHigh correlation
(서류)출자신청액 is highly overall correlated with (신청)조합수 and 11 other fieldsHigh correlation
(1차)조합수 is highly overall correlated with (신청)조합수 and 11 other fieldsHigh correlation
(1차)결성예정액 is highly overall correlated with (신청)조합수 and 11 other fieldsHigh correlation
(1차)출자신청액 is highly overall correlated with (신청)조합수 and 11 other fieldsHigh correlation
(최종)조합수 is highly overall correlated with (신청)조합수 and 11 other fieldsHigh correlation
(최종)결성예정액 is highly overall correlated with (신청)조합수 and 10 other fieldsHigh correlation
(최종)출자신청액 is highly overall correlated with (신청)조합수 and 10 other fieldsHigh correlation
단위 is highly overall correlated with (서류)조합수 and 6 other fieldsHigh correlation
단위 is highly imbalanced (54.6%)Imbalance
서류심사일 has 9 (42.9%) missing valuesMissing
(서류)조합수 has 9 (42.9%) missing valuesMissing
(서류)결성예정액 has 9 (42.9%) missing valuesMissing
(서류)출자신청액 has 9 (42.9%) missing valuesMissing
1차심의일 has 11 (52.4%) missing valuesMissing
(1차)조합수 has 11 (52.4%) missing valuesMissing
(1차)결성예정액 has 11 (52.4%) missing valuesMissing
(1차)출자신청액 has 11 (52.4%) missing valuesMissing
최종선정일 has 5 (23.8%) missing valuesMissing
(최종)조합수 has 5 (23.8%) missing valuesMissing
(최종)결성예정액 has 5 (23.8%) missing valuesMissing
(최종)출자신청액 has 5 (23.8%) missing valuesMissing
출자사업명 has unique valuesUnique
(신청)결성예정액 has unique valuesUnique

Reproduction

Analysis started2023-12-12 14:07:09.626897
Analysis finished2023-12-12 14:07:25.766517
Duration16.14 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

출자사업명
Text

UNIQUE 

Distinct21
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size300.0 B
2023-12-12T23:07:25.905732image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length35
Median length31
Mean length26.238095
Min length22

Characters and Unicode

Total characters551
Distinct characters66
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique21 ?
Unique (%)100.0%

Sample

1st row한국모태펀드 2021년 9월 수시(도시재생, 고용계정) 출자사업
2nd row2021년 제2차 해외VC 글로벌 펀드 출자사업
3rd row부산 지역뉴딜 벤처펀드 2021년 출자사업
4th row한국모태펀드 2021년 8월 수시(특허계정) 출자사업
5th row한국모태펀드 2021년 4차 정시 출자사업
ValueCountFrequency (%)
2021년 21
19.1%
출자사업 20
18.2%
한국모태펀드 17
15.5%
수시 5
 
4.5%
정시 5
 
4.5%
펀드 3
 
2.7%
소관 2
 
1.8%
7월 2
 
1.8%
2차 2
 
1.8%
1차 2
 
1.8%
Other values (26) 31
28.2%
2023-12-12T23:07:26.292312image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
89
 
16.2%
2 46
 
8.3%
1 23
 
4.2%
22
 
4.0%
22
 
4.0%
22
 
4.0%
21
 
3.8%
21
 
3.8%
21
 
3.8%
0 21
 
3.8%
Other values (56) 243
44.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 337
61.2%
Decimal Number 102
 
18.5%
Space Separator 89
 
16.2%
Close Punctuation 9
 
1.6%
Open Punctuation 9
 
1.6%
Uppercase Letter 4
 
0.7%
Other Punctuation 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
22
 
6.5%
22
 
6.5%
22
 
6.5%
21
 
6.2%
21
 
6.2%
21
 
6.2%
21
 
6.2%
18
 
5.3%
17
 
5.0%
17
 
5.0%
Other values (40) 135
40.1%
Decimal Number
ValueCountFrequency (%)
2 46
45.1%
1 23
22.5%
0 21
20.6%
8 2
 
2.0%
4 2
 
2.0%
7 2
 
2.0%
6 2
 
2.0%
3 2
 
2.0%
9 1
 
1.0%
5 1
 
1.0%
Uppercase Letter
ValueCountFrequency (%)
V 2
50.0%
C 2
50.0%
Space Separator
ValueCountFrequency (%)
89
100.0%
Close Punctuation
ValueCountFrequency (%)
) 9
100.0%
Open Punctuation
ValueCountFrequency (%)
( 9
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 337
61.2%
Common 210
38.1%
Latin 4
 
0.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
22
 
6.5%
22
 
6.5%
22
 
6.5%
21
 
6.2%
21
 
6.2%
21
 
6.2%
21
 
6.2%
18
 
5.3%
17
 
5.0%
17
 
5.0%
Other values (40) 135
40.1%
Common
ValueCountFrequency (%)
89
42.4%
2 46
21.9%
1 23
 
11.0%
0 21
 
10.0%
) 9
 
4.3%
( 9
 
4.3%
8 2
 
1.0%
4 2
 
1.0%
7 2
 
1.0%
6 2
 
1.0%
Other values (4) 5
 
2.4%
Latin
ValueCountFrequency (%)
V 2
50.0%
C 2
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 337
61.2%
ASCII 214
38.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
89
41.6%
2 46
21.5%
1 23
 
10.7%
0 21
 
9.8%
) 9
 
4.2%
( 9
 
4.2%
8 2
 
0.9%
4 2
 
0.9%
7 2
 
0.9%
6 2
 
0.9%
Other values (6) 9
 
4.2%
Hangul
ValueCountFrequency (%)
22
 
6.5%
22
 
6.5%
22
 
6.5%
21
 
6.2%
21
 
6.2%
21
 
6.2%
21
 
6.2%
18
 
5.3%
17
 
5.0%
17
 
5.0%
Other values (40) 135
40.1%
Distinct15
Distinct (%)71.4%
Missing0
Missing (%)0.0%
Memory size300.0 B
Minimum2020-12-17 00:00:00
Maximum2021-09-03 00:00:00
2023-12-12T23:07:26.429293image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:07:26.532733image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
Distinct19
Distinct (%)90.5%
Missing0
Missing (%)0.0%
Memory size300.0 B
Minimum2021-01-19 00:00:00
Maximum2021-09-27 00:00:00
2023-12-12T23:07:26.681285image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:07:26.818867image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)

(신청)조합수
Real number (ℝ)

HIGH CORRELATION 

Distinct14
Distinct (%)66.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean22.428571
Minimum1
Maximum147
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size321.0 B
2023-12-12T23:07:26.922470image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median7
Q323
95-th percentile132
Maximum147
Range146
Interquartile range (IQR)20

Descriptive statistics

Standard deviation40.399965
Coefficient of variation (CV)1.8012723
Kurtosis6.2952591
Mean22.428571
Median Absolute Deviation (MAD)5
Skewness2.6520208
Sum471
Variance1632.1571
MonotonicityNot monotonic
2023-12-12T23:07:27.025861image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
2 3
14.3%
7 3
14.3%
9 2
9.5%
4 2
9.5%
1 2
9.5%
23 1
 
4.8%
6 1
 
4.8%
34 1
 
4.8%
3 1
 
4.8%
27 1
 
4.8%
Other values (4) 4
19.0%
ValueCountFrequency (%)
1 2
9.5%
2 3
14.3%
3 1
 
4.8%
4 2
9.5%
6 1
 
4.8%
7 3
14.3%
8 1
 
4.8%
9 2
9.5%
23 1
 
4.8%
27 1
 
4.8%
ValueCountFrequency (%)
147 1
 
4.8%
132 1
 
4.8%
36 1
 
4.8%
34 1
 
4.8%
27 1
 
4.8%
23 1
 
4.8%
9 2
9.5%
8 1
 
4.8%
7 3
14.3%
6 1
 
4.8%

(신청)결성예정액
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct21
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5937.7476
Minimum100
Maximum46423
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size321.0 B
2023-12-12T23:07:27.151946image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum100
5-th percentile172
Q1429
median1530
Q33519
95-th percentile29611.5
Maximum46423
Range46323
Interquartile range (IQR)3090

Descriptive statistics

Standard deviation11639.138
Coefficient of variation (CV)1.9601941
Kurtosis7.6343614
Mean5937.7476
Median Absolute Deviation (MAD)1280
Skewness2.7768362
Sum124692.7
Variance1.3546954 × 108
MonotonicityNot monotonic
2023-12-12T23:07:27.298331image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
185.0 1
 
4.8%
3519.0 1
 
4.8%
46423.0 1
 
4.8%
737.0 1
 
4.8%
172.0 1
 
4.8%
250.0 1
 
4.8%
1505.0 1
 
4.8%
2230.0 1
 
4.8%
100.0 1
 
4.8%
7758.0 1
 
4.8%
Other values (11) 11
52.4%
ValueCountFrequency (%)
100.0 1
4.8%
172.0 1
4.8%
181.2 1
4.8%
185.0 1
4.8%
250.0 1
4.8%
429.0 1
4.8%
737.0 1
4.8%
911.0 1
4.8%
1406.0 1
4.8%
1505.0 1
4.8%
ValueCountFrequency (%)
46423.0 1
4.8%
29611.5 1
4.8%
17378.0 1
4.8%
7758.0 1
4.8%
4007.0 1
4.8%
3519.0 1
4.8%
2485.0 1
4.8%
2300.0 1
4.8%
2230.0 1
4.8%
1575.0 1
4.8%

(신청)출자신청액
Real number (ℝ)

HIGH CORRELATION 

Distinct20
Distinct (%)95.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2737.2
Minimum60
Maximum21453.4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size321.0 B
2023-12-12T23:07:27.435223image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum60
5-th percentile60
Q1145
median532
Q31040
95-th percentile15081.4
Maximum21453.4
Range21393.4
Interquartile range (IQR)895

Descriptive statistics

Standard deviation5581.674
Coefficient of variation (CV)2.0391912
Kurtosis6.7277067
Mean2737.2
Median Absolute Deviation (MAD)428
Skewness2.6570184
Sum57481.2
Variance31155085
MonotonicityNot monotonic
2023-12-12T23:07:27.546013image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
60.0 2
 
9.5%
145.0 1
 
4.8%
280.4 1
 
4.8%
21453.4 1
 
4.8%
440.0 1
 
4.8%
100.0 1
 
4.8%
590.0 1
 
4.8%
125.0 1
 
4.8%
5142.0 1
 
4.8%
15081.4 1
 
4.8%
Other values (10) 10
47.6%
ValueCountFrequency (%)
60.0 2
9.5%
100.0 1
4.8%
125.0 1
4.8%
135.0 1
4.8%
145.0 1
4.8%
173.0 1
4.8%
280.4 1
4.8%
300.0 1
4.8%
440.0 1
4.8%
532.0 1
4.8%
ValueCountFrequency (%)
21453.4 1
4.8%
15081.4 1
4.8%
7728.0 1
4.8%
5142.0 1
4.8%
1380.0 1
4.8%
1040.0 1
4.8%
1011.0 1
4.8%
960.0 1
4.8%
745.0 1
4.8%
590.0 1
4.8%

서류심사일
Date

MISSING 

Distinct10
Distinct (%)83.3%
Missing9
Missing (%)42.9%
Memory size300.0 B
Minimum2021-03-05 00:00:00
Maximum2021-09-23 00:00:00
2023-12-12T23:07:27.685673image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:07:27.786394image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)

(서류)조합수
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct10
Distinct (%)83.3%
Missing9
Missing (%)42.9%
Infinite0
Infinite (%)0.0%
Mean12.75
Minimum1
Maximum78
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size321.0 B
2023-12-12T23:07:27.898075image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1.55
Q13
median4.5
Q310
95-th percentile46.65
Maximum78
Range77
Interquartile range (IQR)7

Descriptive statistics

Standard deviation21.532745
Coefficient of variation (CV)1.6888427
Kurtosis9.3083503
Mean12.75
Median Absolute Deviation (MAD)2
Skewness2.9675959
Sum153
Variance463.65909
MonotonicityNot monotonic
2023-12-12T23:07:28.005211image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
3 2
 
9.5%
4 2
 
9.5%
19 1
 
4.8%
7 1
 
4.8%
1 1
 
4.8%
6 1
 
4.8%
5 1
 
4.8%
78 1
 
4.8%
21 1
 
4.8%
2 1
 
4.8%
(Missing) 9
42.9%
ValueCountFrequency (%)
1 1
4.8%
2 1
4.8%
3 2
9.5%
4 2
9.5%
5 1
4.8%
6 1
4.8%
7 1
4.8%
19 1
4.8%
21 1
4.8%
78 1
4.8%
ValueCountFrequency (%)
78 1
4.8%
21 1
4.8%
19 1
4.8%
7 1
4.8%
6 1
4.8%
5 1
4.8%
4 2
9.5%
3 2
9.5%
2 1
4.8%
1 1
4.8%

(서류)결성예정액
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct12
Distinct (%)100.0%
Missing9
Missing (%)42.9%
Infinite0
Infinite (%)0.0%
Mean3273.4167
Minimum60
Maximum16022
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size321.0 B
2023-12-12T23:07:28.120590image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum60
5-th percentile82
Q1498
median1192.5
Q32820.75
95-th percentile12660.95
Maximum16022
Range15962
Interquartile range (IQR)2322.75

Descriptive statistics

Standard deviation4922.4333
Coefficient of variation (CV)1.5037601
Kurtosis3.6942944
Mean3273.4167
Median Absolute Deviation (MAD)755.5
Skewness2.0366359
Sum39281
Variance24230350
MonotonicityNot monotonic
2023-12-12T23:07:28.246852image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
1100 1
 
4.8%
9911 1
 
4.8%
1575 1
 
4.8%
60 1
 
4.8%
1285 1
 
4.8%
521 1
 
4.8%
429 1
 
4.8%
875 1
 
4.8%
16022 1
 
4.8%
5463 1
 
4.8%
Other values (2) 2
 
9.5%
(Missing) 9
42.9%
ValueCountFrequency (%)
60 1
4.8%
100 1
4.8%
429 1
4.8%
521 1
4.8%
875 1
4.8%
1100 1
4.8%
1285 1
4.8%
1575 1
4.8%
1940 1
4.8%
5463 1
4.8%
ValueCountFrequency (%)
16022 1
4.8%
9911 1
4.8%
5463 1
4.8%
1940 1
4.8%
1575 1
4.8%
1285 1
4.8%
1100 1
4.8%
875 1
4.8%
521 1
4.8%
429 1
4.8%

(서류)출자신청액
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct12
Distinct (%)100.0%
Missing9
Missing (%)42.9%
Infinite0
Infinite (%)0.0%
Mean1613.8333
Minimum45
Maximum7986
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size321.0 B
2023-12-12T23:07:28.381428image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum45
5-th percentile53.25
Q1256.25
median478
Q31677.5
95-th percentile5958.7
Maximum7986
Range7941
Interquartile range (IQR)1421.25

Descriptive statistics

Standard deviation2451.0527
Coefficient of variation (CV)1.5187768
Kurtosis3.5768342
Mean1613.8333
Median Absolute Deviation (MAD)385.5
Skewness1.9736507
Sum19366
Variance6007659.2
MonotonicityNot monotonic
2023-12-12T23:07:28.487543image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
660 1
 
4.8%
4300 1
 
4.8%
1040 1
 
4.8%
45 1
 
4.8%
531 1
 
4.8%
304 1
 
4.8%
300 1
 
4.8%
425 1
 
4.8%
7986 1
 
4.8%
3590 1
 
4.8%
Other values (2) 2
 
9.5%
(Missing) 9
42.9%
ValueCountFrequency (%)
45 1
4.8%
60 1
4.8%
125 1
4.8%
300 1
4.8%
304 1
4.8%
425 1
4.8%
531 1
4.8%
660 1
4.8%
1040 1
4.8%
3590 1
4.8%
ValueCountFrequency (%)
7986 1
4.8%
4300 1
4.8%
3590 1
4.8%
1040 1
4.8%
660 1
4.8%
531 1
4.8%
425 1
4.8%
304 1
4.8%
300 1
4.8%
125 1
4.8%

1차심의일
Date

MISSING 

Distinct7
Distinct (%)70.0%
Missing11
Missing (%)52.4%
Memory size300.0 B
Minimum2021-02-19 00:00:00
Maximum2021-08-18 00:00:00
2023-12-12T23:07:28.614513image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:07:28.746577image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)

(1차)조합수
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct8
Distinct (%)80.0%
Missing11
Missing (%)52.4%
Infinite0
Infinite (%)0.0%
Mean17
Minimum1
Maximum71
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size321.0 B
2023-12-12T23:07:28.854375image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11.25
median3.5
Q317.75
95-th percentile65.15
Maximum71
Range70
Interquartile range (IQR)16.5

Descriptive statistics

Standard deviation25.931534
Coefficient of variation (CV)1.5253843
Kurtosis1.2837318
Mean17
Median Absolute Deviation (MAD)2.5
Skewness1.6337381
Sum170
Variance672.44444
MonotonicityNot monotonic
2023-12-12T23:07:28.961542image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
1 3
 
14.3%
4 1
 
4.8%
3 1
 
4.8%
58 1
 
4.8%
21 1
 
4.8%
8 1
 
4.8%
2 1
 
4.8%
71 1
 
4.8%
(Missing) 11
52.4%
ValueCountFrequency (%)
1 3
14.3%
2 1
 
4.8%
3 1
 
4.8%
4 1
 
4.8%
8 1
 
4.8%
21 1
 
4.8%
58 1
 
4.8%
71 1
 
4.8%
ValueCountFrequency (%)
71 1
 
4.8%
58 1
 
4.8%
21 1
 
4.8%
8 1
 
4.8%
4 1
 
4.8%
3 1
 
4.8%
2 1
 
4.8%
1 3
14.3%

(1차)결성예정액
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct10
Distinct (%)100.0%
Missing11
Missing (%)52.4%
Infinite0
Infinite (%)0.0%
Mean5001.7
Minimum60
Maximum26923
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size321.0 B
2023-12-12T23:07:29.077813image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum60
5-th percentile110.4
Q1233.5
median475
Q34473.5
95-th percentile21317.35
Maximum26923
Range26863
Interquartile range (IQR)4240

Descriptive statistics

Standard deviation8923.4747
Coefficient of variation (CV)1.7840883
Kurtosis3.9942501
Mean5001.7
Median Absolute Deviation (MAD)359
Skewness2.092289
Sum50017
Variance79628400
MonotonicityNot monotonic
2023-12-12T23:07:29.193306image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
60 1
 
4.8%
521 1
 
4.8%
429 1
 
4.8%
14466 1
 
4.8%
5463 1
 
4.8%
1505 1
 
4.8%
250 1
 
4.8%
172 1
 
4.8%
228 1
 
4.8%
26923 1
 
4.8%
(Missing) 11
52.4%
ValueCountFrequency (%)
60 1
4.8%
172 1
4.8%
228 1
4.8%
250 1
4.8%
429 1
4.8%
521 1
4.8%
1505 1
4.8%
5463 1
4.8%
14466 1
4.8%
26923 1
4.8%
ValueCountFrequency (%)
26923 1
4.8%
14466 1
4.8%
5463 1
4.8%
1505 1
4.8%
521 1
4.8%
429 1
4.8%
250 1
4.8%
228 1
4.8%
172 1
4.8%
60 1
4.8%

(1차)출자신청액
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct10
Distinct (%)100.0%
Missing11
Missing (%)52.4%
Infinite0
Infinite (%)0.0%
Mean2485.6
Minimum45
Maximum12445
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size321.0 B
2023-12-12T23:07:29.292175image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum45
5-th percentile51.75
Q192.5
median302
Q32840
95-th percentile10144.15
Maximum12445
Range12400
Interquartile range (IQR)2747.5

Descriptive statistics

Standard deviation4220.2754
Coefficient of variation (CV)1.69789
Kurtosis2.9437446
Mean2485.6
Median Absolute Deviation (MAD)249.5
Skewness1.8833803
Sum24856
Variance17810724
MonotonicityNot monotonic
2023-12-12T23:07:29.413537image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
45 1
 
4.8%
304 1
 
4.8%
300 1
 
4.8%
7332 1
 
4.8%
3590 1
 
4.8%
590 1
 
4.8%
100 1
 
4.8%
60 1
 
4.8%
90 1
 
4.8%
12445 1
 
4.8%
(Missing) 11
52.4%
ValueCountFrequency (%)
45 1
4.8%
60 1
4.8%
90 1
4.8%
100 1
4.8%
300 1
4.8%
304 1
4.8%
590 1
4.8%
3590 1
4.8%
7332 1
4.8%
12445 1
4.8%
ValueCountFrequency (%)
12445 1
4.8%
7332 1
4.8%
3590 1
4.8%
590 1
4.8%
304 1
4.8%
300 1
4.8%
100 1
4.8%
90 1
4.8%
60 1
4.8%
45 1
4.8%

최종선정일
Date

MISSING 

Distinct12
Distinct (%)75.0%
Missing5
Missing (%)23.8%
Memory size300.0 B
Minimum2021-03-07 00:00:00
Maximum2021-09-17 00:00:00
2023-12-12T23:07:29.507695image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:07:29.625921image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)

(최종)조합수
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct9
Distinct (%)56.2%
Missing5
Missing (%)23.8%
Infinite0
Infinite (%)0.0%
Mean7.875
Minimum1
Maximum40
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size321.0 B
2023-12-12T23:07:29.735658image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q37.75
95-th percentile38.5
Maximum40
Range39
Interquartile range (IQR)6.75

Descriptive statistics

Standard deviation12.563837
Coefficient of variation (CV)1.5954079
Kurtosis3.9106331
Mean7.875
Median Absolute Deviation (MAD)1
Skewness2.2252402
Sum126
Variance157.85
MonotonicityNot monotonic
2023-12-12T23:07:29.855639image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
1 5
23.8%
2 4
19.0%
3 1
 
4.8%
10 1
 
4.8%
40 1
 
4.8%
11 1
 
4.8%
4 1
 
4.8%
7 1
 
4.8%
38 1
 
4.8%
(Missing) 5
23.8%
ValueCountFrequency (%)
1 5
23.8%
2 4
19.0%
3 1
 
4.8%
4 1
 
4.8%
7 1
 
4.8%
10 1
 
4.8%
11 1
 
4.8%
38 1
 
4.8%
40 1
 
4.8%
ValueCountFrequency (%)
40 1
 
4.8%
38 1
 
4.8%
11 1
 
4.8%
10 1
 
4.8%
7 1
 
4.8%
4 1
 
4.8%
3 1
 
4.8%
2 4
19.0%
1 5
23.8%

(최종)결성예정액
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct16
Distinct (%)100.0%
Missing5
Missing (%)23.8%
Infinite0
Infinite (%)0.0%
Mean1726.4487
Minimum60
Maximum14224.38
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size321.0 B
2023-12-12T23:07:29.973925image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum60
5-th percentile112.5
Q1214
median464
Q31343.75
95-th percentile6365.595
Maximum14224.38
Range14164.38
Interquartile range (IQR)1129.75

Descriptive statistics

Standard deviation3501.685
Coefficient of variation (CV)2.0282589
Kurtosis12.50251
Mean1726.4487
Median Absolute Deviation (MAD)327.5
Skewness3.4248314
Sum27623.18
Variance12261798
MonotonicityNot monotonic
2023-12-12T23:07:30.086673image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
2908.0 1
 
4.8%
14224.38 1
 
4.8%
228.0 1
 
4.8%
172.0 1
 
4.8%
250.0 1
 
4.8%
1145.0 1
 
4.8%
1940.0 1
 
4.8%
501.0 1
 
4.8%
430.0 1
 
4.8%
817.8 1
 
4.8%
Other values (6) 6
28.6%
(Missing) 5
23.8%
ValueCountFrequency (%)
60.0 1
4.8%
130.0 1
4.8%
143.0 1
4.8%
172.0 1
4.8%
228.0 1
4.8%
250.0 1
4.8%
430.0 1
4.8%
458.0 1
4.8%
470.0 1
4.8%
501.0 1
4.8%
ValueCountFrequency (%)
14224.38 1
4.8%
3746.0 1
4.8%
2908.0 1
4.8%
1940.0 1
4.8%
1145.0 1
4.8%
817.8 1
4.8%
501.0 1
4.8%
470.0 1
4.8%
458.0 1
4.8%
430.0 1
4.8%

(최종)출자신청액
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct14
Distinct (%)87.5%
Missing5
Missing (%)23.8%
Infinite0
Infinite (%)0.0%
Mean1101.4688
Minimum45
Maximum7468
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size321.0 B
2023-12-12T23:07:30.230475image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum45
5-th percentile56.25
Q186.5
median150
Q3337.5
95-th percentile6517
Maximum7468
Range7423
Interquartile range (IQR)251

Descriptive statistics

Standard deviation2292.1482
Coefficient of variation (CV)2.0809925
Kurtosis4.7012963
Mean1101.4688
Median Absolute Deviation (MAD)88.75
Skewness2.4024168
Sum17623.5
Variance5253943.4
MonotonicityNot monotonic
2023-12-12T23:07:30.342651image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
300.0 2
 
9.5%
100.0 2
 
9.5%
45.0 1
 
4.8%
202.0 1
 
4.8%
76.0 1
 
4.8%
175.0 1
 
4.8%
62.5 1
 
4.8%
7468.0 1
 
4.8%
1870.0 1
 
4.8%
125.0 1
 
4.8%
Other values (4) 4
19.0%
(Missing) 5
23.8%
ValueCountFrequency (%)
45.0 1
4.8%
60.0 1
4.8%
62.5 1
4.8%
76.0 1
4.8%
90.0 1
4.8%
100.0 2
9.5%
125.0 1
4.8%
175.0 1
4.8%
202.0 1
4.8%
300.0 2
9.5%
ValueCountFrequency (%)
7468.0 1
4.8%
6200.0 1
4.8%
1870.0 1
4.8%
450.0 1
4.8%
300.0 2
9.5%
202.0 1
4.8%
175.0 1
4.8%
125.0 1
4.8%
100.0 2
9.5%
90.0 1
4.8%

단위
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct2
Distinct (%)9.5%
Missing0
Missing (%)0.0%
Memory size300.0 B
억원
19 
US$M

Length

Max length4
Median length2
Mean length2.1904762
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowUS$M
2nd row억원
3rd row억원
4th row억원
5th row억원

Common Values

ValueCountFrequency (%)
억원 19
90.5%
US$M 2
 
9.5%

Length

2023-12-12T23:07:30.833574image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T23:07:30.981927image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
억원 19
90.5%
us$m 2
 
9.5%

Interactions

2023-12-12T23:07:23.452767image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:07:10.205145image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:07:11.498255image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:07:12.511643image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:07:13.897430image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:07:15.059050image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:07:16.168771image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:07:17.259794image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:07:18.614509image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:07:19.801926image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:07:21.057860image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:07:22.253945image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:07:23.546223image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:07:10.307668image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:07:11.599769image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:07:12.585208image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:07:13.990283image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:07:15.152124image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:07:16.286315image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:07:17.341781image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:07:18.729280image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:07:19.911547image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:07:21.176384image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:07:22.357705image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:07:23.629217image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:07:10.404398image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:07:11.694915image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:07:12.664782image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:07:14.090947image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:07:15.240631image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:07:16.375876image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:07:17.423045image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:07:18.823050image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:07:20.015427image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:07:21.274462image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:07:22.442238image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:07:23.706500image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:07:10.490344image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:07:11.769524image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:07:12.735318image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:07:14.186433image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:07:15.331719image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:07:16.461130image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:07:17.504322image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:07:18.919359image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:07:20.099444image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:07:21.368840image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:07:22.523257image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:07:23.798442image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:07:10.600340image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:07:11.856230image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:07:13.122292image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:07:14.282893image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:07:15.419058image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:07:16.557487image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:07:17.586588image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:07:19.041019image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:07:20.191493image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:07:21.483139image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:07:22.616612image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:07:24.224365image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:07:10.705000image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:07:11.936242image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:07:13.228873image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:07:14.373973image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:07:15.511523image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:07:16.648003image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:07:17.678184image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:07:19.140911image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:07:20.282517image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:07:21.583520image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:07:22.711526image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:07:24.325537image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:07:10.824571image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:07:12.038807image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:07:13.337259image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:07:14.473728image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:07:15.616305image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:07:16.733000image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:07:17.763549image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:07:19.252100image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:07:20.391637image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:07:21.682310image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:07:22.803928image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:07:24.440914image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:07:10.916661image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:07:12.141225image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:07:13.423982image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:07:14.562807image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:07:15.695260image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:07:16.810061image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:07:17.840565image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:07:19.337492image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:07:20.501578image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:07:21.778363image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:07:22.906999image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:07:24.559907image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:07:11.046088image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:07:12.208941image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:07:13.519926image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:07:14.660493image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:07:15.775502image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:07:16.889907image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:07:17.918408image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:07:19.420079image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:07:20.614384image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:07:21.862071image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:07:23.024874image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:07:24.664360image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:07:11.166524image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:07:12.277788image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:07:13.602407image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:07:14.777508image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:07:15.871739image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:07:16.968444image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:07:17.997570image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:07:19.510476image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:07:20.739557image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:07:21.974763image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:07:23.127047image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:07:24.773650image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:07:11.272654image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:07:12.353826image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:07:13.712004image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:07:14.890830image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:07:15.995990image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:07:17.059110image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:07:18.382727image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:07:19.605187image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:07:20.866244image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:07:22.067655image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:07:23.248605image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:07:24.908437image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:07:11.379379image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:07:12.432765image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:07:13.802717image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:07:14.971964image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:07:16.079787image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:07:17.162158image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:07:18.522580image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:07:19.717895image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:07:20.959931image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:07:22.161617image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:07:23.347725image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T23:07:31.114912image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
출자사업명공고일접수일(신청)조합수(신청)결성예정액(신청)출자신청액서류심사일(서류)조합수(서류)결성예정액(서류)출자신청액1차심의일(1차)조합수(1차)결성예정액(1차)출자신청액최종선정일(최종)조합수(최종)결성예정액(최종)출자신청액단위
출자사업명1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
공고일1.0001.0000.7520.0000.0000.0000.9140.0000.0000.6130.8490.4390.7810.7810.9050.0000.0000.0001.000
접수일1.0000.7521.0001.0001.0001.0001.0001.0000.9371.0001.0001.0001.0001.0001.0001.0000.3311.0001.000
(신청)조합수1.0000.0001.0001.0000.9860.9861.0001.0001.0001.0001.0001.0001.0001.0001.0000.7890.7911.0000.120
(신청)결성예정액1.0000.0001.0000.9861.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0000.9110.9711.0000.000
(신청)출자신청액1.0000.0001.0000.9861.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0000.9110.9711.0000.000
서류심사일1.0000.9141.0001.0001.0001.0001.0001.0000.9371.0001.0001.0001.0001.0001.0001.0000.3251.000NaN
(서류)조합수1.0000.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0000.8981.000NaN
(서류)결성예정액1.0000.0000.9371.0001.0001.0000.9371.0001.0000.9801.0001.0001.0001.0000.9031.0001.0001.000NaN
(서류)출자신청액1.0000.6131.0001.0001.0001.0001.0001.0000.9801.0001.0001.0001.0001.0001.0001.0000.5431.000NaN
1차심의일1.0000.8491.0001.0001.0001.0001.0001.0001.0001.0001.0000.8721.0001.0001.0000.8131.0001.000NaN
(1차)조합수1.0000.4391.0001.0001.0001.0001.0001.0001.0001.0000.8721.0001.0001.0000.8721.0001.0001.000NaN
(1차)결성예정액1.0000.7811.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0000.9581.0001.000NaN
(1차)출자신청액1.0000.7811.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0000.9581.0001.000NaN
최종선정일1.0000.9051.0001.0001.0001.0001.0001.0000.9031.0001.0000.8721.0001.0001.0000.9150.9171.0001.000
(최종)조합수1.0000.0001.0000.7890.9110.9111.0001.0001.0001.0000.8131.0000.9580.9580.9151.0000.7730.9110.794
(최종)결성예정액1.0000.0000.3310.7910.9710.9710.3250.8981.0000.5431.0001.0001.0001.0000.9170.7731.0000.9710.000
(최종)출자신청액1.0000.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0000.9110.9711.0000.000
단위1.0001.0001.0000.1200.0000.000NaNNaNNaNNaNNaNNaNNaNNaN1.0000.7940.0000.0001.000
2023-12-12T23:07:31.385814image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
(신청)조합수(신청)결성예정액(신청)출자신청액(서류)조합수(서류)결성예정액(서류)출자신청액(1차)조합수(1차)결성예정액(1차)출자신청액(최종)조합수(최종)결성예정액(최종)출자신청액단위
(신청)조합수1.0000.9140.7990.9470.8190.8930.9660.8940.8940.8590.7490.6910.091
(신청)결성예정액0.9141.0000.7810.8490.9370.8810.9760.9520.9520.9120.8820.7500.000
(신청)출자신청액0.7990.7811.0000.8140.7690.9720.9760.9150.9150.6440.6030.8500.000
(서류)조합수0.9470.8490.8141.0000.8980.8911.0001.0001.0000.7750.6520.7921.000
(서류)결성예정액0.8190.9370.7690.8981.0000.8461.0001.0001.0000.9510.9030.8451.000
(서류)출자신청액0.8930.8810.9720.8910.8461.0001.0001.0001.0000.6520.6610.9481.000
(1차)조합수0.9660.9760.9761.0001.0001.0001.0000.9630.9630.8570.7420.8491.000
(1차)결성예정액0.8940.9520.9151.0001.0001.0000.9631.0001.0000.8080.8060.9121.000
(1차)출자신청액0.8940.9520.9151.0001.0001.0000.9631.0001.0000.8080.8060.9121.000
(최종)조합수0.8590.9120.6440.7750.9510.6520.8570.8080.8081.0000.9420.7280.535
(최종)결성예정액0.7490.8820.6030.6520.9030.6610.7420.8060.8060.9421.0000.7980.000
(최종)출자신청액0.6910.7500.8500.7920.8450.9480.8490.9120.9120.7280.7981.0000.000
단위0.0910.0000.0001.0001.0001.0001.0001.0001.0000.5350.0000.0001.000

Missing values

2023-12-12T23:07:25.087571image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T23:07:25.358618image/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.
2023-12-12T23:07:25.556655image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

Sample

출자사업명공고일접수일(신청)조합수(신청)결성예정액(신청)출자신청액서류심사일(서류)조합수(서류)결성예정액(서류)출자신청액1차심의일(1차)조합수(1차)결성예정액(1차)출자신청액최종선정일(최종)조합수(최종)결성예정액(최종)출자신청액단위
0한국모태펀드 2021년 9월 수시(도시재생, 고용계정) 출자사업2021-09-032021-09-172185.0145.0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>US$M
12021년 제2차 해외VC 글로벌 펀드 출자사업2021-08-172021-09-27233519.0173.0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>억원
2부산 지역뉴딜 벤처펀드 2021년 출자사업2021-08-062021-08-3071530.0960.0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>억원
3한국모태펀드 2021년 8월 수시(특허계정) 출자사업2021-08-032021-08-2462300.01380.02021-09-0331100660<NA><NA><NA><NA>2021-09-172501.0300.0억원
4한국모태펀드 2021년 4차 정시 출자사업2021-07-302021-08-273417378.07728.02021-09-161999114300<NA><NA><NA><NA><NA><NA><NA><NA>억원
5충청 지역뉴딜 벤처펀드(물산업 펀드) 2021년 출자사업2021-07-272021-08-2071575.01040.02021-08-20715751040<NA><NA><NA><NA>2021-09-142430.0300.0억원
6한국모태펀드 2021년 7월 수시(고용계정) 출자사업2021-07-152021-07-302181.2135.02021-08-12160452021-08-18160452021-08-27160.045.0억원
7한국모태펀드 2021년 7월 수시 출자사업2021-07-082021-07-2992485.01011.02021-08-1861285531<NA><NA><NA><NA>2021-08-263470.0202.0억원
8한국모태펀드 2021년 6월 수시(영화계정) 출자사업2021-06-142021-06-257911.0532.02021-07-0645213042021-07-1545213042021-08-021130.076.0억원
9한국모태펀드 2021년 6월 수시(해양계정) 출자사업2021-06-032021-06-253429.0300.02021-07-0634293002021-07-1534293002021-08-021143.0100.0억원
출자사업명공고일접수일(신청)조합수(신청)결성예정액(신청)출자신청액서류심사일(서류)조합수(서류)결성예정액(서류)출자신청액1차심의일(1차)조합수(1차)결성예정액(1차)출자신청액최종선정일(최종)조합수(최종)결성예정액(최종)출자신청액단위
112021년 해외VC 글로벌 펀드 출자사업2021-03-112021-04-13274007.0280.4<NA><NA><NA><NA><NA><NA><NA><NA>2021-06-0710817.862.5US$M
12한국모태펀드 2021년 2차 정시 출자사업2021-02-242021-04-0214729611.515081.42021-04-20781602279862021-05-04581446673322021-05-23403746.07468.0억원
13한국모태펀드 2021년 1차 정시 출자사업(문체부 소관)2021-01-142021-02-07367758.05142.02021-03-0521546335902021-03-2321546335902021-04-08112908.01870.0억원
14한국모태펀드 2021년 8월 수시(중기부 소관) 출자사업2020-12-172021-09-072100.060.02021-09-23210060<NA><NA><NA><NA><NA><NA><NA><NA>억원
15한국모태펀드 2021년 2차 정시(특허계정) 출자사업2021-02-242021-08-2442230.0125.02021-09-0341940125<NA><NA><NA><NA>2021-09-1741940.0125.0억원
16한국모태펀드 2021년 5월 수시 출자사업2020-12-172021-05-1081505.0590.0<NA><NA><NA><NA>2021-06-03815055902021-06-1471145.0450.0억원
17한국모태펀드 2021년 4월 수시 출자사업2020-12-172021-04-081250.0100.0<NA><NA><NA><NA>2021-06-0312501002021-06-141250.0100.0억원
18한국모태펀드 2021년 3월 수시 출자사업2020-12-172021-03-101172.060.0<NA><NA><NA><NA>2021-03-251172602021-04-011172.060.0억원
19한국모태펀드 2021년 2월 수시 출자사업2020-12-172021-02-104737.0440.0<NA><NA><NA><NA>2021-03-252228902021-04-012228.090.0억원
20한국모태펀드 2021년 1차 정시 출자사업2020-12-172021-01-1913246423.021453.4<NA><NA><NA><NA>2021-02-197126923124452021-03-073814224.386200.0억원