Overview

Dataset statistics

Number of variables7
Number of observations775
Missing cells4
Missing cells (%)0.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory44.0 KiB
Average record size in memory58.2 B

Variable types

Numeric2
Text5

Dataset

Description산림과학기술정보관련 기술수요조사에 대한 평가항목, 단위, 세계수준, 국내수준, 개발목표치에 대한 정보 제공
Author산림청
URLhttps://www.data.go.kr/data/15072373/fileData.do

Reproduction

Analysis started2023-12-12 06:18:08.842581
Analysis finished2023-12-12 06:18:10.506194
Duration1.66 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

기술수요조사번호
Real number (ℝ)

Distinct171
Distinct (%)22.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean84.28
Minimum1
Maximum174
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.9 KiB
2023-12-12T15:18:10.601394image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile10
Q140
median80
Q3127
95-th percentile166
Maximum174
Range173
Interquartile range (IQR)87

Descriptive statistics

Standard deviation50.428016
Coefficient of variation (CV)0.59833906
Kurtosis-1.2050084
Mean84.28
Median Absolute Deviation (MAD)43
Skewness0.14227429
Sum65317
Variance2542.9848
MonotonicityIncreasing
2023-12-12T15:18:10.763479image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
49 12
 
1.5%
39 11
 
1.4%
116 11
 
1.4%
18 10
 
1.3%
95 9
 
1.2%
25 8
 
1.0%
104 8
 
1.0%
33 8
 
1.0%
27 8
 
1.0%
98 7
 
0.9%
Other values (161) 683
88.1%
ValueCountFrequency (%)
1 7
0.9%
2 5
0.6%
3 4
0.5%
4 5
0.6%
5 1
 
0.1%
6 1
 
0.1%
7 1
 
0.1%
8 5
0.6%
9 6
0.8%
10 6
0.8%
ValueCountFrequency (%)
174 2
 
0.3%
173 6
0.8%
172 6
0.8%
171 2
 
0.3%
170 6
0.8%
169 4
0.5%
168 5
0.6%
167 4
0.5%
166 5
0.6%
165 3
0.4%

순번
Real number (ℝ)

Distinct12
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.2141935
Minimum1
Maximum12
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.9 KiB
2023-12-12T15:18:10.921216image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile6.3
Maximum12
Range11
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.9391399
Coefficient of variation (CV)0.60330526
Kurtosis1.4001086
Mean3.2141935
Median Absolute Deviation (MAD)1
Skewness1.0303766
Sum2491
Variance3.7602634
MonotonicityNot monotonic
2023-12-12T15:18:11.063563image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
1 171
22.1%
2 158
20.4%
3 139
17.9%
4 128
16.5%
5 86
11.1%
6 54
 
7.0%
7 17
 
2.2%
8 9
 
1.2%
9 5
 
0.6%
10 4
 
0.5%
Other values (2) 4
 
0.5%
ValueCountFrequency (%)
1 171
22.1%
2 158
20.4%
3 139
17.9%
4 128
16.5%
5 86
11.1%
6 54
 
7.0%
7 17
 
2.2%
8 9
 
1.2%
9 5
 
0.6%
10 4
 
0.5%
ValueCountFrequency (%)
12 1
 
0.1%
11 3
 
0.4%
10 4
 
0.5%
9 5
 
0.6%
8 9
 
1.2%
7 17
 
2.2%
6 54
 
7.0%
5 86
11.1%
4 128
16.5%
3 139
17.9%

평가항목
Text

Distinct726
Distinct (%)93.7%
Missing0
Missing (%)0.0%
Memory size6.2 KiB
2023-12-12T15:18:11.453362image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length61
Median length45
Mean length14.926452
Min length1

Characters and Unicode

Total characters11568
Distinct characters519
Distinct categories11 ?
Distinct scripts4 ?
Distinct blocks5 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique687 ?
Unique (%)88.6%

Sample

1st row항산화(DPPH 자유라디칼 소거능)
2nd row보습력(2시간 후 피부수분함량 상승률)
3rd row미백(멜라닌 생성 억제효과)
4th row주름개선(2주후 모공 감소 효과)
5th row시제품 제작
ValueCountFrequency (%)
및 78
 
2.7%
개발 75
 
2.6%
기술 58
 
2.0%
분석 26
 
0.9%
소재 21
 
0.7%
구축 20
 
0.7%
생산 20
 
0.7%
기능성 19
 
0.7%
리그닌 18
 
0.6%
유효성분 16
 
0.6%
Other values (1373) 2507
87.7%
2023-12-12T15:18:12.090733image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2156
 
18.6%
성 237
 
2.0%
기 234
 
2.0%
산 152
 
1.3%
개 142
 
1.2%
제 133
 
1.1%
발 129
 
1.1%
화 128
 
1.1%
분 124
 
1.1%
유 121
 
1.0%
Other values (509) 8012
69.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 8452
73.1%
Space Separator 2156
 
18.6%
Lowercase Letter 339
 
2.9%
Uppercase Letter 215
 
1.9%
Other Punctuation 124
 
1.1%
Close Punctuation 89
 
0.8%
Open Punctuation 89
 
0.8%
Decimal Number 86
 
0.7%
Dash Punctuation 15
 
0.1%
Math Symbol 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
성 237
 
2.8%
기 234
 
2.8%
산 152
 
1.8%
개 142
 
1.7%
제 133
 
1.6%
발 129
 
1.5%
화 128
 
1.5%
분 124
 
1.5%
유 121
 
1.4%
의 115
 
1.4%
Other values (440) 6937
82.1%
Lowercase Letter
ValueCountFrequency (%)
o 37
10.9%
t 34
10.0%
e 34
10.0%
i 28
 
8.3%
n 27
 
8.0%
a 26
 
7.7%
s 23
 
6.8%
l 20
 
5.9%
r 16
 
4.7%
m 15
 
4.4%
Other values (14) 79
23.3%
Uppercase Letter
ValueCountFrequency (%)
D 26
12.1%
C 24
 
11.2%
N 19
 
8.8%
A 14
 
6.5%
F 13
 
6.0%
P 13
 
6.0%
M 12
 
5.6%
I 12
 
5.6%
H 11
 
5.1%
S 9
 
4.2%
Other values (11) 62
28.8%
Decimal Number
ValueCountFrequency (%)
2 21
24.4%
0 16
18.6%
3 15
17.4%
1 11
12.8%
5 9
10.5%
4 5
 
5.8%
8 4
 
4.7%
6 4
 
4.7%
7 1
 
1.2%
Other Punctuation
ValueCountFrequency (%)
. 62
50.0%
, 33
26.6%
/ 17
 
13.7%
% 6
 
4.8%
& 3
 
2.4%
· 3
 
2.4%
Close Punctuation
ValueCountFrequency (%)
) 88
98.9%
] 1
 
1.1%
Open Punctuation
ValueCountFrequency (%)
( 88
98.9%
[ 1
 
1.1%
Math Symbol
ValueCountFrequency (%)
~ 1
50.0%
+ 1
50.0%
Space Separator
ValueCountFrequency (%)
2156
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 15
100.0%
Letter Number
ValueCountFrequency (%)
Ⅰ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 8452
73.1%
Common 2561
 
22.1%
Latin 553
 
4.8%
Greek 2
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
성 237
 
2.8%
기 234
 
2.8%
산 152
 
1.8%
개 142
 
1.7%
제 133
 
1.6%
발 129
 
1.5%
화 128
 
1.5%
분 124
 
1.5%
유 121
 
1.4%
의 115
 
1.4%
Other values (440) 6937
82.1%
Latin
ValueCountFrequency (%)
o 37
 
6.7%
t 34
 
6.1%
e 34
 
6.1%
i 28
 
5.1%
n 27
 
4.9%
D 26
 
4.7%
a 26
 
4.7%
C 24
 
4.3%
s 23
 
4.2%
l 20
 
3.6%
Other values (35) 274
49.5%
Common
ValueCountFrequency (%)
2156
84.2%
) 88
 
3.4%
( 88
 
3.4%
. 62
 
2.4%
, 33
 
1.3%
2 21
 
0.8%
/ 17
 
0.7%
0 16
 
0.6%
3 15
 
0.6%
- 15
 
0.6%
Other values (13) 50
 
2.0%
Greek
ValueCountFrequency (%)
α 2
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 8450
73.0%
ASCII 3110
 
26.9%
None 5
 
< 0.1%
Compat Jamo 2
 
< 0.1%
Number Forms 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2156
69.3%
) 88
 
2.8%
( 88
 
2.8%
. 62
 
2.0%
o 37
 
1.2%
t 34
 
1.1%
e 34
 
1.1%
, 33
 
1.1%
i 28
 
0.9%
n 27
 
0.9%
Other values (56) 523
 
16.8%
Hangul
ValueCountFrequency (%)
성 237
 
2.8%
기 234
 
2.8%
산 152
 
1.8%
개 142
 
1.7%
제 133
 
1.6%
발 129
 
1.5%
화 128
 
1.5%
분 124
 
1.5%
유 121
 
1.4%
의 115
 
1.4%
Other values (439) 6935
82.1%
None
ValueCountFrequency (%)
· 3
60.0%
α 2
40.0%
Compat Jamo
ValueCountFrequency (%)
ㆍ 2
100.0%
Number Forms
ValueCountFrequency (%)
Ⅰ 1
100.0%

단위
Text

Distinct146
Distinct (%)18.8%
Missing0
Missing (%)0.0%
Memory size6.2 KiB
2023-12-12T15:18:12.377427image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length1
Mean length1.763871
Min length1

Characters and Unicode

Total characters1367
Distinct characters139
Distinct categories13 ?
Distinct scripts4 ?
Distinct blocks7 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique83 ?
Unique (%)10.7%

Sample

1st row%
2nd row%
3rd row%
4th row%
5th row종
ValueCountFrequency (%)
310
39.5%
건 134
17.1%
1 25
 
3.2%
10 17
 
2.2%
개 15
 
1.9%
점 11
 
1.4%
종 11
 
1.4%
기술 9
 
1.1%
mpa 8
 
1.0%
식 7
 
0.9%
Other values (135) 237
30.2%
2023-12-12T15:18:12.782801image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
% 283
20.7%
건 140
 
10.2%
/ 81
 
5.9%
m 80
 
5.9%
g 62
 
4.5%
1 47
 
3.4%
a 27
 
2.0%
- 26
 
1.9%
개 26
 
1.9%
0 22
 
1.6%
Other values (129) 573
41.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 410
30.0%
Other Punctuation 378
27.7%
Lowercase Letter 348
25.5%
Decimal Number 90
 
6.6%
Uppercase Letter 80
 
5.9%
Dash Punctuation 26
 
1.9%
Space Separator 21
 
1.5%
Other Symbol 9
 
0.7%
Final Punctuation 1
 
0.1%
Currency Symbol 1
 
0.1%
Other values (3) 3
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
건 140
34.1%
개 26
 
6.3%
수 18
 
4.4%
기 17
 
4.1%
종 13
 
3.2%
술 12
 
2.9%
점 11
 
2.7%
식 11
 
2.7%
준 8
 
2.0%
발 7
 
1.7%
Other values (65) 147
35.9%
Lowercase Letter
ValueCountFrequency (%)
m 80
23.0%
g 62
17.8%
a 27
 
7.8%
k 22
 
6.3%
e 20
 
5.7%
c 17
 
4.9%
h 12
 
3.4%
d 11
 
3.2%
s 10
 
2.9%
n 10
 
2.9%
Other values (15) 77
22.1%
Uppercase Letter
ValueCountFrequency (%)
P 15
18.8%
L 12
15.0%
N 12
15.0%
M 10
12.5%
K 5
 
6.2%
C 4
 
5.0%
D 3
 
3.8%
S 2
 
2.5%
R 2
 
2.5%
T 2
 
2.5%
Other values (10) 13
16.2%
Other Punctuation
ValueCountFrequency (%)
% 283
74.9%
/ 81
 
21.4%
, 7
 
1.9%
· 4
 
1.1%
. 3
 
0.8%
Decimal Number
ValueCountFrequency (%)
1 47
52.2%
0 22
24.4%
2 14
 
15.6%
5 5
 
5.6%
3 2
 
2.2%
Other Symbol
ValueCountFrequency (%)
㎡ 8
88.9%
° 1
 
11.1%
Dash Punctuation
ValueCountFrequency (%)
- 26
100.0%
Space Separator
ValueCountFrequency (%)
21
100.0%
Final Punctuation
ValueCountFrequency (%)
’ 1
100.0%
Currency Symbol
ValueCountFrequency (%)
$ 1
100.0%
Modifier Symbol
ValueCountFrequency (%)
^ 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 529
38.7%
Latin 425
31.1%
Hangul 410
30.0%
Greek 3
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
건 140
34.1%
개 26
 
6.3%
수 18
 
4.4%
기 17
 
4.1%
종 13
 
3.2%
술 12
 
2.9%
점 11
 
2.7%
식 11
 
2.7%
준 8
 
2.0%
발 7
 
1.7%
Other values (65) 147
35.9%
Latin
ValueCountFrequency (%)
m 80
18.8%
g 62
14.6%
a 27
 
6.4%
k 22
 
5.2%
e 20
 
4.7%
c 17
 
4.0%
P 15
 
3.5%
h 12
 
2.8%
L 12
 
2.8%
N 12
 
2.8%
Other values (33) 146
34.4%
Common
ValueCountFrequency (%)
% 283
53.5%
/ 81
 
15.3%
1 47
 
8.9%
- 26
 
4.9%
0 22
 
4.2%
21
 
4.0%
2 14
 
2.6%
㎡ 8
 
1.5%
, 7
 
1.3%
5 5
 
0.9%
Other values (9) 15
 
2.8%
Greek
ValueCountFrequency (%)
μ 2
66.7%
Ω 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 940
68.8%
Hangul 409
29.9%
CJK Compat 8
 
0.6%
None 7
 
0.5%
Compat Jamo 1
 
0.1%
Punctuation 1
 
0.1%
Letterlike Symbols 1
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
% 283
30.1%
/ 81
 
8.6%
m 80
 
8.5%
g 62
 
6.6%
1 47
 
5.0%
a 27
 
2.9%
- 26
 
2.8%
0 22
 
2.3%
k 22
 
2.3%
21
 
2.2%
Other values (48) 269
28.6%
Hangul
ValueCountFrequency (%)
건 140
34.2%
개 26
 
6.4%
수 18
 
4.4%
기 17
 
4.2%
종 13
 
3.2%
술 12
 
2.9%
점 11
 
2.7%
식 11
 
2.7%
준 8
 
2.0%
발 7
 
1.7%
Other values (64) 146
35.7%
CJK Compat
ValueCountFrequency (%)
㎡ 8
100.0%
None
ValueCountFrequency (%)
· 4
57.1%
μ 2
28.6%
° 1
 
14.3%
Compat Jamo
ValueCountFrequency (%)
ㄹ 1
100.0%
Punctuation
ValueCountFrequency (%)
’ 1
100.0%
Letterlike Symbols
ValueCountFrequency (%)
Ω 1
100.0%

세계최고수준
Text

Distinct236
Distinct (%)30.5%
Missing2
Missing (%)0.3%
Memory size6.2 KiB
2023-12-12T15:18:13.095772image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length48
Median length40
Mean length4.5019405
Min length1

Characters and Unicode

Total characters3480
Distinct characters277
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique149 ?
Unique (%)19.3%

Sample

1st row100%
2nd row30%
3rd row90%
4th row20~25%
5th row-
ValueCountFrequency (%)
130
 
12.5%
100 115
 
11.0%
80 47
 
4.5%
미국 29
 
2.8%
90 28
 
2.7%
10 28
 
2.7%
일본 24
 
2.3%
없음 22
 
2.1%
70 21
 
2.0%
30 16
 
1.5%
Other values (301) 584
55.9%
2023-12-12T15:18:13.586066image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 538
 
15.5%
287
 
8.2%
1 206
 
5.9%
- 149
 
4.3%
% 91
 
2.6%
5 81
 
2.3%
8 72
 
2.1%
국 70
 
2.0%
4 56
 
1.6%
9 56
 
1.6%
Other values (267) 1874
53.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1236
35.5%
Decimal Number 1171
33.6%
Space Separator 287
 
8.2%
Other Punctuation 245
 
7.0%
Lowercase Letter 171
 
4.9%
Dash Punctuation 149
 
4.3%
Uppercase Letter 106
 
3.0%
Open Punctuation 44
 
1.3%
Close Punctuation 42
 
1.2%
Math Symbol 29
 
0.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
국 70
 
5.7%
이 55
 
4.4%
미 42
 
3.4%
상 38
 
3.1%
일 33
 
2.7%
음 33
 
2.7%
없 31
 
2.5%
최 28
 
2.3%
본 27
 
2.2%
준 27
 
2.2%
Other values (203) 852
68.9%
Lowercase Letter
ValueCountFrequency (%)
e 23
13.5%
i 17
9.9%
a 16
9.4%
g 16
9.4%
c 15
8.8%
m 15
8.8%
n 11
 
6.4%
t 10
 
5.8%
f 8
 
4.7%
o 8
 
4.7%
Other values (9) 32
18.7%
Uppercase Letter
ValueCountFrequency (%)
A 18
17.0%
P 15
14.2%
L 15
14.2%
N 14
13.2%
H 7
 
6.6%
S 6
 
5.7%
D 5
 
4.7%
B 4
 
3.8%
R 3
 
2.8%
V 3
 
2.8%
Other values (9) 16
15.1%
Decimal Number
ValueCountFrequency (%)
0 538
45.9%
1 206
 
17.6%
5 81
 
6.9%
8 72
 
6.1%
4 56
 
4.8%
9 56
 
4.8%
3 56
 
4.8%
2 45
 
3.8%
7 31
 
2.6%
6 30
 
2.6%
Other Punctuation
ValueCountFrequency (%)
% 91
37.1%
. 39
15.9%
, 33
 
13.5%
/ 21
 
8.6%
& 20
 
8.2%
# 20
 
8.2%
; 20
 
8.2%
· 1
 
0.4%
Math Symbol
ValueCountFrequency (%)
< 12
41.4%
> 10
34.5%
~ 6
20.7%
± 1
 
3.4%
Space Separator
ValueCountFrequency (%)
287
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 149
100.0%
Open Punctuation
ValueCountFrequency (%)
( 44
100.0%
Close Punctuation
ValueCountFrequency (%)
) 42
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1967
56.5%
Hangul 1236
35.5%
Latin 277
 
8.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
국 70
 
5.7%
이 55
 
4.4%
미 42
 
3.4%
상 38
 
3.1%
일 33
 
2.7%
음 33
 
2.7%
없 31
 
2.5%
최 28
 
2.3%
본 27
 
2.2%
준 27
 
2.2%
Other values (203) 852
68.9%
Latin
ValueCountFrequency (%)
e 23
 
8.3%
A 18
 
6.5%
i 17
 
6.1%
a 16
 
5.8%
g 16
 
5.8%
c 15
 
5.4%
m 15
 
5.4%
P 15
 
5.4%
L 15
 
5.4%
N 14
 
5.1%
Other values (28) 113
40.8%
Common
ValueCountFrequency (%)
0 538
27.4%
287
14.6%
1 206
 
10.5%
- 149
 
7.6%
% 91
 
4.6%
5 81
 
4.1%
8 72
 
3.7%
4 56
 
2.8%
9 56
 
2.8%
3 56
 
2.8%
Other values (16) 375
19.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2242
64.4%
Hangul 1236
35.5%
None 2
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 538
24.0%
287
12.8%
1 206
 
9.2%
- 149
 
6.6%
% 91
 
4.1%
5 81
 
3.6%
8 72
 
3.2%
4 56
 
2.5%
9 56
 
2.5%
3 56
 
2.5%
Other values (52) 650
29.0%
Hangul
ValueCountFrequency (%)
국 70
 
5.7%
이 55
 
4.4%
미 42
 
3.4%
상 38
 
3.1%
일 33
 
2.7%
음 33
 
2.7%
없 31
 
2.5%
최 28
 
2.3%
본 27
 
2.2%
준 27
 
2.2%
Other values (203) 852
68.9%
None
ValueCountFrequency (%)
· 1
50.0%
± 1
50.0%

국내수준
Text

Distinct197
Distinct (%)25.5%
Missing2
Missing (%)0.3%
Memory size6.2 KiB
2023-12-12T15:18:13.940760image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length67
Median length61
Mean length3.9793014
Min length1

Characters and Unicode

Total characters3076
Distinct characters284
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique117 ?
Unique (%)15.1%

Sample

1st row80%
2nd row20%
3rd row84%
4th row20%
5th row-
ValueCountFrequency (%)
139
 
13.0%
50 70
 
6.6%
없음 48
 
4.5%
60 43
 
4.0%
30 40
 
3.8%
70 36
 
3.4%
0 26
 
2.4%
20 25
 
2.3%
10 25
 
2.3%
80 25
 
2.3%
Other values (294) 589
55.3%
2023-12-12T15:18:14.537146image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 415
 
13.5%
308
 
10.0%
- 156
 
5.1%
5 127
 
4.1%
% 103
 
3.3%
1 96
 
3.1%
3 73
 
2.4%
2 72
 
2.3%
음 69
 
2.2%
없 68
 
2.2%
Other values (274) 1589
51.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1279
41.6%
Decimal Number 997
32.4%
Space Separator 308
 
10.0%
Other Punctuation 161
 
5.2%
Dash Punctuation 156
 
5.1%
Uppercase Letter 69
 
2.2%
Lowercase Letter 57
 
1.9%
Math Symbol 19
 
0.6%
Open Punctuation 15
 
0.5%
Close Punctuation 15
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
음 69
 
5.4%
없 68
 
5.3%
이 49
 
3.8%
고 39
 
3.0%
최 31
 
2.4%
기 28
 
2.2%
상 28
 
2.2%
세 26
 
2.0%
비 24
 
1.9%
계 24
 
1.9%
Other values (217) 893
69.8%
Uppercase Letter
ValueCountFrequency (%)
P 9
13.0%
L 7
10.1%
S 7
10.1%
A 6
8.7%
N 6
8.7%
H 5
 
7.2%
C 4
 
5.8%
I 4
 
5.8%
B 4
 
5.8%
G 3
 
4.3%
Other values (8) 14
20.3%
Lowercase Letter
ValueCountFrequency (%)
g 15
26.3%
m 13
22.8%
a 5
 
8.8%
i 3
 
5.3%
o 3
 
5.3%
l 2
 
3.5%
s 2
 
3.5%
t 2
 
3.5%
n 2
 
3.5%
x 2
 
3.5%
Other values (6) 8
14.0%
Decimal Number
ValueCountFrequency (%)
0 415
41.6%
5 127
 
12.7%
1 96
 
9.6%
3 73
 
7.3%
2 72
 
7.2%
6 60
 
6.0%
4 56
 
5.6%
7 49
 
4.9%
8 43
 
4.3%
9 6
 
0.6%
Other Punctuation
ValueCountFrequency (%)
% 103
64.0%
. 29
 
18.0%
/ 11
 
6.8%
, 6
 
3.7%
& 4
 
2.5%
# 4
 
2.5%
; 4
 
2.5%
Math Symbol
ValueCountFrequency (%)
~ 10
52.6%
< 9
47.4%
Space Separator
ValueCountFrequency (%)
308
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 156
100.0%
Open Punctuation
ValueCountFrequency (%)
( 15
100.0%
Close Punctuation
ValueCountFrequency (%)
) 15
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1671
54.3%
Hangul 1279
41.6%
Latin 126
 
4.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
음 69
 
5.4%
없 68
 
5.3%
이 49
 
3.8%
고 39
 
3.0%
최 31
 
2.4%
기 28
 
2.2%
상 28
 
2.2%
세 26
 
2.0%
비 24
 
1.9%
계 24
 
1.9%
Other values (217) 893
69.8%
Latin
ValueCountFrequency (%)
g 15
 
11.9%
m 13
 
10.3%
P 9
 
7.1%
L 7
 
5.6%
S 7
 
5.6%
A 6
 
4.8%
N 6
 
4.8%
H 5
 
4.0%
a 5
 
4.0%
C 4
 
3.2%
Other values (24) 49
38.9%
Common
ValueCountFrequency (%)
0 415
24.8%
308
18.4%
- 156
 
9.3%
5 127
 
7.6%
% 103
 
6.2%
1 96
 
5.7%
3 73
 
4.4%
2 72
 
4.3%
6 60
 
3.6%
4 56
 
3.4%
Other values (13) 205
12.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1797
58.4%
Hangul 1279
41.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 415
23.1%
308
17.1%
- 156
 
8.7%
5 127
 
7.1%
% 103
 
5.7%
1 96
 
5.3%
3 73
 
4.1%
2 72
 
4.0%
6 60
 
3.3%
4 56
 
3.1%
Other values (47) 331
18.4%
Hangul
ValueCountFrequency (%)
음 69
 
5.4%
없 68
 
5.3%
이 49
 
3.8%
고 39
 
3.0%
최 31
 
2.4%
기 28
 
2.2%
상 28
 
2.2%
세 26
 
2.0%
비 24
 
1.9%
계 24
 
1.9%
Other values (217) 893
69.8%

개발목표치
Text

Distinct328
Distinct (%)42.3%
Missing0
Missing (%)0.0%
Memory size6.2 KiB
2023-12-12T15:18:15.284826image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length63
Median length54
Mean length5.7729032
Min length1

Characters and Unicode

Total characters4474
Distinct characters320
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique236 ?
Unique (%)30.5%

Sample

1st row90% 이상
2nd row30%
3rd row85% 이상
4th row20~25%
5th row3종
ValueCountFrequency (%)
이상 65
 
4.8%
90 58
 
4.3%
100 53
 
3.9%
1건 48
 
3.6%
80 46
 
3.4%
70 31
 
2.3%
60 31
 
2.3%
50 26
 
1.9%
3 22
 
1.6%
2 22
 
1.6%
Other values (482) 943
70.1%
2023-12-12T15:18:15.940423image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
594
 
13.3%
0 524
 
11.7%
1 235
 
5.3%
5 153
 
3.4%
이 149
 
3.3%
상 126
 
2.8%
2 105
 
2.3%
% 92
 
2.1%
3 91
 
2.0%
9 82
 
1.8%
Other values (310) 2323
51.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1848
41.3%
Decimal Number 1420
31.7%
Space Separator 594
 
13.3%
Other Punctuation 198
 
4.4%
Lowercase Letter 176
 
3.9%
Uppercase Letter 125
 
2.8%
Math Symbol 39
 
0.9%
Close Punctuation 25
 
0.6%
Open Punctuation 25
 
0.6%
Dash Punctuation 23
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 149
 
8.1%
상 126
 
6.8%
건 78
 
4.2%
성 37
 
2.0%
준 36
 
1.9%
기 30
 
1.6%
의 28
 
1.5%
대 28
 
1.5%
제 28
 
1.5%
수 27
 
1.5%
Other values (239) 1281
69.3%
Lowercase Letter
ValueCountFrequency (%)
g 22
12.5%
m 20
11.4%
e 20
11.4%
o 14
8.0%
l 14
8.0%
n 12
 
6.8%
t 11
 
6.2%
i 11
 
6.2%
r 10
 
5.7%
c 8
 
4.5%
Other values (11) 34
19.3%
Uppercase Letter
ValueCountFrequency (%)
S 20
16.0%
I 17
13.6%
C 15
12.0%
A 7
 
5.6%
P 7
 
5.6%
K 7
 
5.6%
L 6
 
4.8%
V 6
 
4.8%
F 5
 
4.0%
M 5
 
4.0%
Other values (11) 30
24.0%
Decimal Number
ValueCountFrequency (%)
0 524
36.9%
1 235
16.5%
5 153
 
10.8%
2 105
 
7.4%
3 91
 
6.4%
9 82
 
5.8%
8 81
 
5.7%
6 57
 
4.0%
7 49
 
3.5%
4 43
 
3.0%
Other Punctuation
ValueCountFrequency (%)
% 92
46.5%
. 42
21.2%
, 37
18.7%
/ 24
 
12.1%
· 1
 
0.5%
& 1
 
0.5%
; 1
 
0.5%
Math Symbol
ValueCountFrequency (%)
> 14
35.9%
< 8
20.5%
≥ 7
17.9%
~ 4
 
10.3%
± 3
 
7.7%
× 2
 
5.1%
≤ 1
 
2.6%
Space Separator
ValueCountFrequency (%)
594
100.0%
Close Punctuation
ValueCountFrequency (%)
) 25
100.0%
Open Punctuation
ValueCountFrequency (%)
( 25
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 23
100.0%
Other Symbol
ValueCountFrequency (%)
° 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2325
52.0%
Hangul 1848
41.3%
Latin 301
 
6.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
이 149
 
8.1%
상 126
 
6.8%
건 78
 
4.2%
성 37
 
2.0%
준 36
 
1.9%
기 30
 
1.6%
의 28
 
1.5%
대 28
 
1.5%
제 28
 
1.5%
수 27
 
1.5%
Other values (239) 1281
69.3%
Latin
ValueCountFrequency (%)
g 22
 
7.3%
m 20
 
6.6%
e 20
 
6.6%
S 20
 
6.6%
I 17
 
5.6%
C 15
 
5.0%
o 14
 
4.7%
l 14
 
4.7%
n 12
 
4.0%
t 11
 
3.7%
Other values (32) 136
45.2%
Common
ValueCountFrequency (%)
594
25.5%
0 524
22.5%
1 235
 
10.1%
5 153
 
6.6%
2 105
 
4.5%
% 92
 
4.0%
3 91
 
3.9%
9 82
 
3.5%
8 81
 
3.5%
6 57
 
2.5%
Other values (19) 311
13.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2611
58.4%
Hangul 1848
41.3%
Math Operators 8
 
0.2%
None 7
 
0.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
594
22.7%
0 524
20.1%
1 235
 
9.0%
5 153
 
5.9%
2 105
 
4.0%
% 92
 
3.5%
3 91
 
3.5%
9 82
 
3.1%
8 81
 
3.1%
6 57
 
2.2%
Other values (55) 597
22.9%
Hangul
ValueCountFrequency (%)
이 149
 
8.1%
상 126
 
6.8%
건 78
 
4.2%
성 37
 
2.0%
준 36
 
1.9%
기 30
 
1.6%
의 28
 
1.5%
대 28
 
1.5%
제 28
 
1.5%
수 27
 
1.5%
Other values (239) 1281
69.3%
Math Operators
ValueCountFrequency (%)
≥ 7
87.5%
≤ 1
 
12.5%
None
ValueCountFrequency (%)
± 3
42.9%
× 2
28.6%
° 1
 
14.3%
· 1
 
14.3%

Interactions

2023-12-12T15:18:09.949699image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T15:18:09.687123image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T15:18:10.078158image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T15:18:09.817976image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T15:18:16.077600image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
기술수요조사번호순번
기술수요조사번호1.0000.000
순번0.0001.000
2023-12-12T15:18:16.185224image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
기술수요조사번호순번
기술수요조사번호1.000-0.088
순번-0.0881.000

Missing values

2023-12-12T15:18:10.214561image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T15:18:10.337224image/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.
2023-12-12T15:18:10.457013image/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

기술수요조사번호순번평가항목단위세계최고수준국내수준개발목표치
011항산화(DPPH 자유라디칼 소거능)%100%80%90% 이상
112보습력(2시간 후 피부수분함량 상승률)%30%20%30%
213미백(멜라닌 생성 억제효과)%90%84%85% 이상
314주름개선(2주후 모공 감소 효과)%20~25%20%20~25%
415시제품 제작종--3종
516지식재산권(특허)건--3건
617사업화(KFDA 기능성화장품)건--2건
721추출 지표 성분성적서907090
822장내 전달 효과특허907090
923염증 유효성 평가특허908090
기술수요조사번호순번평가항목단위세계최고수준국내수준개발목표치
7651725꿀벌 생태 교육%1005080
7661726봉군 밀도 기준%1003090
7671731가.피톤치드 테라피용 임산자원의 선별종--5종 이상
7681732나.피톤치드 추출기 제작종--3용량
7691733다.추출조건 및 특성 구명--50g의 시료에서 편백숲의 약 100배 이상일 것으로 추정추출기 용량, 시료 투입량, 추출시간과의 관계 구명
7701734라.아토피 평가지수SCORAD index-5.4 감소(산림치유 프로그램 체험전보다)5.5 이상 감소
7711735스트레스 호르몬 (Cortisol)mg/dL-0.031 감소(산림치유 프로그램 체험전보다)0.035 이상 감소
7721736바. 최종 시제품종--3수준의 추출기 제조 및 최적 사용 조건 제시
7731741발병생태연구11000100
7741742친환경 제어법 개발11000100