Overview

Dataset statistics

Number of variables18
Number of observations1283
Missing cells2
Missing cells (%)< 0.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory185.6 KiB
Average record size in memory148.1 B

Variable types

Numeric3
DateTime2
Categorical12
Text1

Dataset

Description한국연구재단이 보유하고있는 기획마루 시스템에 있는 제안 접수자 데이터입니다. 대표 데이터로는 제안폼 고유번호, 생성일, 년도 등이 있습니다.
Author한국연구재단
URLhttps://www.data.go.kr/data/15092856/fileData.do

Alerts

구분 has constant value ""Constant
개정이용동의 has constant value ""Constant
개정 3자 제공동의 has constant value ""Constant
접수상태 has constant value ""Constant
기술분류(PM2) is highly overall correlated with 기술분류(PM1) and 1 other fieldsHigh correlation
기술분류(PM1) is highly overall correlated with 기술분류(PM2) and 2 other fieldsHigh correlation
고유번호 is highly overall correlated with 기타정보 and 2 other fieldsHigh correlation
제안폼 고유번호 is highly overall correlated with 년도 and 1 other fieldsHigh correlation
기타정보 is highly overall correlated with 고유번호 and 2 other fieldsHigh correlation
년도 is highly overall correlated with 고유번호 and 3 other fieldsHigh correlation
분기 is highly overall correlated with 고유번호 and 3 other fieldsHigh correlation
기술분류(PM3) is highly overall correlated with 기술분류(PM1) and 1 other fieldsHigh correlation
기술분류 표준 is highly overall correlated with 기술분류(PM1)High correlation
기술분류(PM2) is highly imbalanced (68.8%)Imbalance
기술분류(PM3) is highly imbalanced (79.7%)Imbalance
고유번호 has unique valuesUnique

Reproduction

Analysis started2023-12-12 17:38:06.080388
Analysis finished2023-12-12 17:38:08.469009
Duration2.39 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

고유번호
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct1283
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean24937.753
Minimum23199
Maximum26883
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.4 KiB
2023-12-13T02:38:08.576575image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum23199
5-th percentile23376.1
Q123923.5
median24918
Q325853.5
95-th percentile26818.9
Maximum26883
Range3684
Interquartile range (IQR)1930

Descriptive statistics

Standard deviation1145.2779
Coefficient of variation (CV)0.045925464
Kurtosis-1.2348863
Mean24937.753
Median Absolute Deviation (MAD)963
Skewness0.21691682
Sum31995137
Variance1311661.4
MonotonicityStrictly decreasing
2023-12-13T02:38:08.754821image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
26883 1
 
0.1%
24139 1
 
0.1%
24074 1
 
0.1%
24075 1
 
0.1%
24076 1
 
0.1%
24077 1
 
0.1%
24078 1
 
0.1%
24079 1
 
0.1%
24080 1
 
0.1%
24081 1
 
0.1%
Other values (1273) 1273
99.2%
ValueCountFrequency (%)
23199 1
0.1%
23200 1
0.1%
23201 1
0.1%
23202 1
0.1%
23203 1
0.1%
23204 1
0.1%
23205 1
0.1%
23206 1
0.1%
23207 1
0.1%
23208 1
0.1%
ValueCountFrequency (%)
26883 1
0.1%
26882 1
0.1%
26881 1
0.1%
26880 1
0.1%
26879 1
0.1%
26878 1
0.1%
26877 1
0.1%
26876 1
0.1%
26875 1
0.1%
26874 1
0.1%

등록 수정 시간
Date

Distinct1229
Distinct (%)95.8%
Missing0
Missing (%)0.0%
Memory size10.2 KiB
Minimum2021-10-08 15:41:00
Maximum2022-10-11 14:54:00
2023-12-13T02:38:08.906359image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T02:38:09.092992image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

구분
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size10.2 KiB
SP
1283 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
SP 1283
100.0%

Length

2023-12-13T02:38:09.253130image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T02:38:09.368917image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
sp 1283
100.0%

제안폼 고유번호
Real number (ℝ)

HIGH CORRELATION 

Distinct28
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2521.3632
Minimum1561
Maximum3448
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.4 KiB
2023-12-13T02:38:09.486523image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1561
5-th percentile1561
Q12202
median2662
Q32782
95-th percentile3443
Maximum3448
Range1887
Interquartile range (IQR)580

Descriptive statistics

Standard deviation589.32078
Coefficient of variation (CV)0.23373101
Kurtosis-0.95907629
Mean2521.3632
Median Absolute Deviation (MAD)460
Skewness-0.044093852
Sum3234909
Variance347298.98
MonotonicityNot monotonic
2023-12-13T02:38:09.693393image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
2202 224
17.5%
1561 172
13.4%
3443 135
10.5%
2722 93
 
7.2%
2023 74
 
5.8%
2243 72
 
5.6%
2762 68
 
5.3%
2682 57
 
4.4%
2662 56
 
4.4%
3122 55
 
4.3%
Other values (18) 277
21.6%
ValueCountFrequency (%)
1561 172
13.4%
1621 11
 
0.9%
1843 23
 
1.8%
1982 6
 
0.5%
2023 74
 
5.8%
2202 224
17.5%
2243 72
 
5.6%
2562 5
 
0.4%
2642 3
 
0.2%
2662 56
 
4.4%
ValueCountFrequency (%)
3448 1
 
0.1%
3447 2
 
0.2%
3446 1
 
0.1%
3445 3
 
0.2%
3444 10
 
0.8%
3443 135
10.5%
3403 18
 
1.4%
3343 28
 
2.2%
3123 52
 
4.1%
3122 55
4.3%

생성일
Date

Distinct1229
Distinct (%)95.8%
Missing0
Missing (%)0.0%
Memory size10.2 KiB
Minimum2021-10-08 15:41:00
Maximum2022-10-11 14:54:00
2023-12-13T02:38:09.886532image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T02:38:10.059864image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

년도
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size10.2 KiB
2022
738 
2021
545 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2022
2nd row2022
3rd row2022
4th row2022
5th row2022

Common Values

ValueCountFrequency (%)
2022 738
57.5%
2021 545
42.5%

Length

2023-12-13T02:38:10.222550image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T02:38:10.321120image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2022 738
57.5%
2021 545
42.5%

분기
Categorical

HIGH CORRELATION 

Distinct4
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size10.2 KiB
Q4
653 
Q1
512 
Q3
68 
Q2
 
50

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowQ4
2nd rowQ4
3rd rowQ4
4th rowQ4
5th rowQ4

Common Values

ValueCountFrequency (%)
Q4 653
50.9%
Q1 512
39.9%
Q3 68
 
5.3%
Q2 50
 
3.9%

Length

2023-12-13T02:38:10.434185image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T02:38:10.892551image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
q4 653
50.9%
q1 512
39.9%
q3 68
 
5.3%
q2 50
 
3.9%

개정이용동의
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size10.2 KiB
동의함
1283 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
동의함 1283
100.0%

Length

2023-12-13T02:38:11.018334image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T02:38:11.123023image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
동의함 1283
100.0%

개정 3자 제공동의
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size10.2 KiB
동의함
1283 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
동의함 1283
100.0%

Length

2023-12-13T02:38:11.250387image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T02:38:11.349556image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
동의함 1283
100.0%

제안분야 연구규모
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size10.2 KiB
SMALL_SIZE
1088 
LARGE_SIZE
195 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
SMALL_SIZE 1088
84.8%
LARGE_SIZE 195
 
15.2%

Length

2023-12-13T02:38:11.493664image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T02:38:11.624291image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
small_size 1088
84.8%
large_size 195
 
15.2%

기술분류(PM1)
Categorical

HIGH CORRELATION 

Distinct11
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size10.2 KiB
P0102
275 
P0108
210 
P0120
176 
P0106
145 
P0104
117 
Other values (6)
360 

Length

Max length5
Median length5
Mean length4.933749
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowP0102
2nd rowP0120
3rd rowP0102
4th rowP0102
5th rowP0102

Common Values

ValueCountFrequency (%)
P0102 275
21.4%
P0108 210
16.4%
P0120 176
13.7%
P0106 145
11.3%
P0104 117
9.1%
P0110 112
8.7%
<NA> 85
 
6.6%
P0103 56
 
4.4%
P0101 55
 
4.3%
P0105 27
 
2.1%

Length

2023-12-13T02:38:11.779006image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
p0102 275
21.4%
p0108 210
16.4%
p0120 176
13.7%
p0106 145
11.3%
p0104 117
9.1%
p0110 112
8.7%
na 85
 
6.6%
p0103 56
 
4.4%
p0101 55
 
4.3%
p0105 27
 
2.1%

기술분류(PM2)
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct8
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size10.2 KiB
<NA>
1102 
PM005
 
63
PM007
 
36
PM001
 
35
PM003
 
14
Other values (3)
 
33

Length

Max length5
Median length4
Mean length4.1410756
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 1102
85.9%
PM005 63
 
4.9%
PM007 36
 
2.8%
PM001 35
 
2.7%
PM003 14
 
1.1%
PM004 13
 
1.0%
PM006 11
 
0.9%
PM002 9
 
0.7%

Length

2023-12-13T02:38:11.931919image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T02:38:12.047361image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1102
85.9%
pm005 63
 
4.9%
pm007 36
 
2.8%
pm001 35
 
2.7%
pm003 14
 
1.1%
pm004 13
 
1.0%
pm006 11
 
0.9%
pm002 9
 
0.7%

기술분류(PM3)
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct44
Distinct (%)3.4%
Missing0
Missing (%)0.0%
Memory size10.2 KiB
<NA>
1133 
PM518
 
12
PM704
 
10
PM502
 
10
PM201
 
9
Other values (39)
 
109

Length

Max length5
Median length4
Mean length4.1169135
Min length4

Unique

Unique13 ?
Unique (%)1.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 1133
88.3%
PM518 12
 
0.9%
PM704 10
 
0.8%
PM502 10
 
0.8%
PM201 9
 
0.7%
PM510 6
 
0.5%
PM102 6
 
0.5%
PM103 6
 
0.5%
PM403 6
 
0.5%
PM702 5
 
0.4%
Other values (34) 80
 
6.2%

Length

2023-12-13T02:38:12.204731image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 1133
88.3%
pm518 12
 
0.9%
pm704 10
 
0.8%
pm502 10
 
0.8%
pm201 9
 
0.7%
pm510 6
 
0.5%
pm102 6
 
0.5%
pm103 6
 
0.5%
pm403 6
 
0.5%
pm105 5
 
0.4%
Other values (34) 80
 
6.2%

기술분류 표준
Categorical

HIGH CORRELATION 

Distinct26
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size10.2 KiB
K
235 
I
189 
G
156 
N
146 
E
127 
Other values (21)
430 

Length

Max length9
Median length1
Mean length1.0966485
Min length1

Unique

Unique5 ?
Unique (%)0.4%

Sample

1st rowI
2nd rowI
3rd rowK
4th rowK
5th rowI

Common Values

ValueCountFrequency (%)
K 235
18.3%
I 189
14.7%
G 156
12.2%
N 146
11.4%
E 127
9.9%
M 75
 
5.8%
B 51
 
4.0%
H 49
 
3.8%
J 46
 
3.6%
L 41
 
3.2%
Other values (16) 168
13.1%

Length

2023-12-13T02:38:12.339928image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
k 235
18.3%
i 189
14.7%
g 156
12.2%
n 146
11.4%
e 127
9.9%
m 75
 
5.8%
b 51
 
4.0%
h 49
 
3.8%
j 46
 
3.6%
l 41
 
3.2%
Other values (16) 168
13.1%

기술분류(6T)
Text

Distinct60
Distinct (%)4.7%
Missing2
Missing (%)0.2%
Memory size10.2 KiB
2023-12-13T02:38:12.535043image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length41
Median length34
Mean length10.313817
Min length5

Characters and Unicode

Total characters13212
Distinct characters9
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

Unique15 ?
Unique (%)1.2%

Sample

1st row30000
2nd row30000
3rd row010000|030000
4th row010000|030000
5th row010000|030000
ValueCountFrequency (%)
20000 185
14.4%
010000|030000 162
12.6%
10000 128
10.0%
30000 123
9.6%
40000 104
 
8.1%
030000|040000 69
 
5.4%
010000|030000|020000 68
 
5.3%
70000 66
 
5.2%
030000|020000 57
 
4.4%
010000|020000 57
 
4.4%
Other values (50) 262
20.5%
2023-12-13T02:38:12.911529image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 10173
77.0%
| 879
 
6.7%
3 581
 
4.4%
1 570
 
4.3%
2 451
 
3.4%
4 312
 
2.4%
7 143
 
1.1%
6 65
 
0.5%
5 38
 
0.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 12333
93.3%
Math Symbol 879
 
6.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 10173
82.5%
3 581
 
4.7%
1 570
 
4.6%
2 451
 
3.7%
4 312
 
2.5%
7 143
 
1.2%
6 65
 
0.5%
5 38
 
0.3%
Math Symbol
ValueCountFrequency (%)
| 879
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 13212
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 10173
77.0%
| 879
 
6.7%
3 581
 
4.4%
1 570
 
4.3%
2 451
 
3.4%
4 312
 
2.4%
7 143
 
1.1%
6 65
 
0.5%
5 38
 
0.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 13212
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 10173
77.0%
| 879
 
6.7%
3 581
 
4.4%
1 570
 
4.3%
2 451
 
3.4%
4 312
 
2.4%
7 143
 
1.1%
6 65
 
0.5%
5 38
 
0.3%

연구 개발 단계
Categorical

Distinct5
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size10.2 KiB
STEP001
551 
STEP002
442 
STEP003
232 
STEP004
 
31
<NA>
 
27

Length

Max length7
Median length7
Mean length6.9368667
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowSTEP001
2nd rowSTEP002
3rd rowSTEP001
4th rowSTEP001
5th rowSTEP001

Common Values

ValueCountFrequency (%)
STEP001 551
42.9%
STEP002 442
34.5%
STEP003 232
18.1%
STEP004 31
 
2.4%
<NA> 27
 
2.1%

Length

2023-12-13T02:38:13.101202image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T02:38:13.263199image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
step001 551
42.9%
step002 442
34.5%
step003 232
18.1%
step004 31
 
2.4%
na 27
 
2.1%

접수상태
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size10.2 KiB
Register
1283 

Length

Max length8
Median length8
Mean length8
Min length8

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
Register 1283
100.0%

Length

2023-12-13T02:38:13.423198image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T02:38:13.533193image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
register 1283
100.0%

기타정보
Real number (ℝ)

HIGH CORRELATION 

Distinct48
Distinct (%)3.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2916.7475
Minimum1283
Maximum3873
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.4 KiB
2023-12-13T02:38:13.696747image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1283
5-th percentile2363
Q12464
median2943
Q33183
95-th percentile3864
Maximum3873
Range2590
Interquartile range (IQR)719

Descriptive statistics

Standard deviation506.32892
Coefficient of variation (CV)0.17359368
Kurtosis-0.69874628
Mean2916.7475
Median Absolute Deviation (MAD)478
Skewness0.53917593
Sum3742187
Variance256368.98
MonotonicityNot monotonic
2023-12-13T02:38:13.880503image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=48)
ValueCountFrequency (%)
2943 172
 
13.4%
3864 113
 
8.8%
2464 109
 
8.5%
2405 93
 
7.2%
3183 74
 
5.8%
2363 57
 
4.4%
3145 55
 
4.3%
2364 55
 
4.3%
2465 51
 
4.0%
3163 42
 
3.3%
Other values (38) 462
36.0%
ValueCountFrequency (%)
1283 2
 
0.2%
2323 3
 
0.2%
2343 29
 
2.3%
2363 57
4.4%
2364 55
4.3%
2404 11
 
0.9%
2405 93
7.2%
2423 31
 
2.4%
2463 20
 
1.6%
2464 109
8.5%
ValueCountFrequency (%)
3873 1
 
0.1%
3872 2
 
0.2%
3871 1
 
0.1%
3869 5
 
0.4%
3868 3
 
0.2%
3867 10
 
0.8%
3865 23
 
1.8%
3864 113
8.8%
3804 18
 
1.4%
3544 28
 
2.2%

Interactions

2023-12-13T02:38:07.598113image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T02:38:06.979592image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T02:38:07.267208image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T02:38:07.708326image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T02:38:07.071635image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T02:38:07.364601image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T02:38:07.836886image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T02:38:07.176593image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T02:38:07.485151image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T02:38:14.008651image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
고유번호제안폼 고유번호년도분기제안분야 연구규모기술분류(PM1)기술분류(PM2)기술분류(PM3)기술분류 표준기술분류(6T)연구 개발 단계기타정보
고유번호1.0000.8761.0000.9520.1690.7970.4680.6630.6630.6340.2870.947
제안폼 고유번호0.8761.0000.7740.7920.1810.7700.4600.6770.7090.7840.1680.886
년도1.0000.7741.0000.9700.0000.6010.2080.0350.5460.4460.0841.000
분기0.9520.7920.9701.0000.0850.5890.4390.6000.5390.6090.2100.944
제안분야 연구규모0.1690.1810.0000.0851.0000.0000.1140.2080.0590.0880.0000.094
기술분류(PM1)0.7970.7700.6010.5890.0001.0001.0001.0000.8620.8450.1660.685
기술분류(PM2)0.4680.4600.2080.4390.1141.0001.0001.0000.4240.4810.2090.413
기술분류(PM3)0.6630.6770.0350.6000.2081.0001.0001.0000.6400.8560.4410.583
기술분류 표준0.6630.7090.5460.5390.0590.8620.4240.6401.0000.8920.3450.692
기술분류(6T)0.6340.7840.4460.6090.0880.8450.4810.8560.8921.0000.3460.596
연구 개발 단계0.2870.1680.0840.2100.0000.1660.2090.4410.3450.3461.0000.209
기타정보0.9470.8861.0000.9440.0940.6850.4130.5830.6920.5960.2091.000
2023-12-13T02:38:14.191836image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
년도연구 개발 단계분기기술분류 표준제안분야 연구규모기술분류(PM3)기술분류(PM2)기술분류(PM1)
년도1.0000.0560.8430.4320.0000.0000.2200.463
연구 개발 단계0.0561.0000.0840.1850.0000.1980.1430.099
분기0.8430.0841.0000.3090.0560.2940.3130.393
기술분류 표준0.4320.1850.3091.0000.0460.2230.2080.518
제안분야 연구규모0.0000.0000.0560.0461.0000.1420.1200.000
기술분류(PM3)0.0000.1980.2940.2230.1421.0000.8650.853
기술분류(PM2)0.2200.1430.3130.2080.1200.8651.0000.989
기술분류(PM1)0.4630.0990.3930.5180.0000.8530.9891.000
2023-12-13T02:38:14.336236image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
고유번호제안폼 고유번호기타정보년도분기제안분야 연구규모기술분류(PM1)기술분류(PM2)기술분류(PM3)기술분류 표준연구 개발 단계
고유번호1.0000.2460.9830.9970.8770.1290.3620.2670.2660.3070.175
제안폼 고유번호0.2461.0000.2530.7970.6640.1680.4750.2030.2830.3640.121
기타정보0.9830.2531.0000.9900.8420.0640.4140.2510.2870.3570.136
년도0.9970.7970.9901.0000.8430.0000.4630.2200.0000.4320.056
분기0.8770.6640.8420.8431.0000.0560.3930.3130.2940.3090.084
제안분야 연구규모0.1290.1680.0640.0000.0561.0000.0000.1200.1420.0460.000
기술분류(PM1)0.3620.4750.4140.4630.3930.0001.0000.9890.8530.5180.099
기술분류(PM2)0.2670.2030.2510.2200.3130.1200.9891.0000.8650.2080.143
기술분류(PM3)0.2660.2830.2870.0000.2940.1420.8530.8651.0000.2230.198
기술분류 표준0.3070.3640.3570.4320.3090.0460.5180.2080.2231.0000.185
연구 개발 단계0.1750.1210.1360.0560.0840.0000.0990.1430.1980.1851.000

Missing values

2023-12-13T02:38:08.030033image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T02:38:08.287552image/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

고유번호등록 수정 시간구분제안폼 고유번호생성일년도분기개정이용동의개정 3자 제공동의제안분야 연구규모기술분류(PM1)기술분류(PM2)기술분류(PM3)기술분류 표준기술분류(6T)연구 개발 단계접수상태기타정보
0268832022-10-11 14:54SP34442022-10-11 14:542022Q4동의함동의함SMALL_SIZEP0102<NA><NA>I30000STEP001Register3867
1268822022-10-11 12:38SP34472022-10-11 12:382022Q4동의함동의함SMALL_SIZEP0120<NA><NA>I30000STEP002Register3872
2268812022-10-10 00:11SP34442022-10-10 00:112022Q4동의함동의함SMALL_SIZEP0102<NA><NA>K010000|030000STEP001Register3867
3268802022-10-09 23:13SP25622022-10-09 23:132022Q4동의함동의함SMALL_SIZEP0102<NA><NA>K010000|030000STEP001Register3869
4268792022-10-09 16:17SP34442022-10-09 16:172022Q4동의함동의함SMALL_SIZEP0102<NA><NA>I010000|030000STEP001Register3867
5268782022-10-09 09:58SP34482022-10-09 09:582022Q4동의함동의함SMALL_SIZEP0102<NA><NA>I10000STEP001Register3873
6268772022-10-08 12:47SP34472022-10-08 12:472022Q4동의함동의함SMALL_SIZEP0102<NA><NA>J10000STEP002Register3872
7268762022-10-07 18:02SP25622022-10-07 18:022022Q4동의함동의함SMALL_SIZEP0104<NA><NA>B010000|030000STEP002Register3869
8268752022-10-07 15:08SP25622022-10-07 15:082022Q4동의함동의함SMALL_SIZE<NA><NA><NA>B010000|070000STEP002Register3869
9268742022-10-07 11:06SP34442022-10-07 11:062022Q4동의함동의함LARGE_SIZEP0102<NA><NA>K010000|030000STEP002Register3867
고유번호등록 수정 시간구분제안폼 고유번호생성일년도분기개정이용동의개정 3자 제공동의제안분야 연구규모기술분류(PM1)기술분류(PM2)기술분류(PM3)기술분류 표준기술분류(6T)연구 개발 단계접수상태기타정보
1273232082021-10-08 16:27SP26622021-10-08 16:272021Q4동의함동의함LARGE_SIZEP0120<NA><NA>I30000STEP001Register2343
1274232072021-10-08 16:24SP26622021-10-08 16:242021Q4동의함동의함LARGE_SIZEP0102<NA><NA>K10000STEP002Register2343
1275232062021-10-08 16:16SP26622021-10-08 16:162021Q4동의함동의함SMALL_SIZEP0120<NA><NA>K30000STEP001Register2343
1276232052021-10-08 16:15SP26622021-10-08 16:152021Q4동의함동의함SMALL_SIZEP0110PM005PM518G20000STEP001Register2343
1277232042021-10-08 16:09SP26622021-10-08 16:092021Q4동의함동의함SMALL_SIZEP0120<NA><NA>I010000|030000STEP001Register2343
1278232032021-10-08 16:04SP26622021-10-08 16:042021Q4동의함동의함SMALL_SIZEP0120<NA><NA>I30000STEP001Register2343
1279232022021-10-08 16:04SP26422021-10-08 16:042021Q4동의함동의함LARGE_SIZEP0120<NA><NA>I010000|030000STEP001Register2323
1280232012021-10-08 16:03SP26622021-10-08 16:032021Q4동의함동의함LARGE_SIZEP0120<NA><NA>I010000|030000STEP001Register2343
1281232002021-10-08 15:43SP26622021-10-08 15:432021Q4동의함동의함SMALL_SIZEP0120<NA><NA>I010000|030000STEP001Register2343
1282231992021-10-08 15:41SP26622021-10-08 15:412021Q4동의함동의함SMALL_SIZEP0120<NA><NA>K010000|030000STEP002Register2343