Overview

Dataset statistics

Number of variables13
Number of observations151
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory15.8 KiB
Average record size in memory106.9 B

Variable types

Numeric2
Categorical5
Text3
DateTime3

Dataset

Description국토교통R&D과제 공고 통합정보로 공고형태 및 유형, 공고기관, 공고대상 과제, 접수 및 마감일정, 공고문의처 정보를 제공함
Author국토교통과학기술진흥원
URLhttps://www.data.go.kr/data/15060773/fileData.do

Alerts

공고형태 has constant value ""Constant
공고유형 has constant value ""Constant
부처명 has constant value ""Constant
공고기관명 has constant value ""Constant
순번 has unique valuesUnique
공고문 바로가기(url) has unique valuesUnique
공고금액 has 8 (5.3%) zerosZeros

Reproduction

Analysis started2023-12-11 22:55:54.724948
Analysis finished2023-12-11 22:55:56.230638
Duration1.51 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

순번
Real number (ℝ)

UNIQUE 

Distinct151
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean76
Minimum1
Maximum151
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.5 KiB
2023-12-12T07:55:56.313646image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile8.5
Q138.5
median76
Q3113.5
95-th percentile143.5
Maximum151
Range150
Interquartile range (IQR)75

Descriptive statistics

Standard deviation43.734045
Coefficient of variation (CV)0.57544796
Kurtosis-1.2
Mean76
Median Absolute Deviation (MAD)38
Skewness0
Sum11476
Variance1912.6667
MonotonicityStrictly increasing
2023-12-12T07:55:56.736371image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.7%
105 1
 
0.7%
98 1
 
0.7%
99 1
 
0.7%
100 1
 
0.7%
101 1
 
0.7%
102 1
 
0.7%
103 1
 
0.7%
104 1
 
0.7%
106 1
 
0.7%
Other values (141) 141
93.4%
ValueCountFrequency (%)
1 1
0.7%
2 1
0.7%
3 1
0.7%
4 1
0.7%
5 1
0.7%
6 1
0.7%
7 1
0.7%
8 1
0.7%
9 1
0.7%
10 1
0.7%
ValueCountFrequency (%)
151 1
0.7%
150 1
0.7%
149 1
0.7%
148 1
0.7%
147 1
0.7%
146 1
0.7%
145 1
0.7%
144 1
0.7%
143 1
0.7%
142 1
0.7%

공고형태
Categorical

CONSTANT 

Distinct1
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
통합공고
151 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
통합공고 151
100.0%

Length

2023-12-12T07:55:56.904110image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T07:55:57.009117image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
통합공고 151
100.0%

공고유형
Categorical

CONSTANT 

Distinct1
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
본공고
151 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
본공고 151
100.0%

Length

2023-12-12T07:55:57.099489image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T07:55:57.184958image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
본공고 151
100.0%

부처명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
국토부
151 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
국토부 151
100.0%

Length

2023-12-12T07:55:57.276220image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T07:55:57.372583image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
국토부 151
100.0%

공고기관명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
국토교통과학기술진흥원
151 

Length

Max length11
Median length11
Mean length11
Min length11

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
국토교통과학기술진흥원 151
100.0%

Length

2023-12-12T07:55:57.459779image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T07:55:57.544320image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
국토교통과학기술진흥원 151
100.0%

공고명
Text

Distinct149
Distinct (%)98.7%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
2023-12-12T07:55:57.721727image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length80
Median length60
Mean length50.377483
Min length30

Characters and Unicode

Total characters7607
Distinct characters263
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique147 ?
Unique (%)97.4%

Sample

1st row(재공고-국-제25호) 2022년 물류시설 화재 안전성 및 위험도 관리 기술 개발 사업 시행 재공고
2nd row(재공고-국-제38호) 2022년 국토교통연구기획사업 시행 재공고
3rd row(재공고-국-제33호) 2022년 국토교통 DNA플러스 융합기술대학원 육성사업 시행 재공고
4th row(재공고-국-제31호) 2022년 항공기 개조 인증기술개발 사업 시행 재공고문
5th row(재공고-국-제36호) 2022년 위성정보 빅데이터 활용 국토종합 관리기술개발 사업 시행 재공고
ValueCountFrequency (%)
시행 147
 
10.4%
사업 77
 
5.4%
2022년 73
 
5.1%
공고 71
 
5.0%
2021년 67
 
4.7%
재공고 60
 
4.2%
기술개발 33
 
2.3%
첨부파일 29
 
2.0%
및 24
 
1.7%
개발 23
 
1.6%
Other values (389) 814
57.4%
2023-12-12T07:55:58.064018image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1267
 
16.7%
2 432
 
5.7%
공 332
 
4.4%
고 312
 
4.1%
- 227
 
3.0%
0 197
 
2.6%
시 194
 
2.6%
제 178
 
2.3%
( 171
 
2.2%
) 171
 
2.2%
Other values (253) 4126
54.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4684
61.6%
Space Separator 1267
 
16.7%
Decimal Number 929
 
12.2%
Dash Punctuation 227
 
3.0%
Open Punctuation 201
 
2.6%
Close Punctuation 201
 
2.6%
Uppercase Letter 65
 
0.9%
Lowercase Letter 18
 
0.2%
Other Punctuation 15
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
공 332
 
7.1%
고 312
 
6.7%
시 194
 
4.1%
제 178
 
3.8%
기 167
 
3.6%
업 158
 
3.4%
행 157
 
3.4%
사 156
 
3.3%
년 155
 
3.3%
호 151
 
3.2%
Other values (205) 2724
58.2%
Uppercase Letter
ValueCountFrequency (%)
A 9
13.8%
I 7
10.8%
R 6
9.2%
E 6
9.2%
M 6
9.2%
T 5
7.7%
D 5
7.7%
B 4
 
6.2%
N 3
 
4.6%
S 2
 
3.1%
Other values (7) 12
18.5%
Lowercase Letter
ValueCountFrequency (%)
o 3
16.7%
h 2
11.1%
p 2
11.1%
k 2
11.1%
m 2
11.1%
a 2
11.1%
e 1
 
5.6%
r 1
 
5.6%
c 1
 
5.6%
l 1
 
5.6%
Decimal Number
ValueCountFrequency (%)
2 432
46.5%
0 197
21.2%
1 134
 
14.4%
3 66
 
7.1%
4 23
 
2.5%
5 18
 
1.9%
7 16
 
1.7%
6 16
 
1.7%
8 15
 
1.6%
9 12
 
1.3%
Other Punctuation
ValueCountFrequency (%)
· 9
60.0%
, 3
 
20.0%
& 2
 
13.3%
/ 1
 
6.7%
Open Punctuation
ValueCountFrequency (%)
( 171
85.1%
[ 30
 
14.9%
Close Punctuation
ValueCountFrequency (%)
) 171
85.1%
] 30
 
14.9%
Space Separator
ValueCountFrequency (%)
1267
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 227
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4684
61.6%
Common 2840
37.3%
Latin 83
 
1.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
공 332
 
7.1%
고 312
 
6.7%
시 194
 
4.1%
제 178
 
3.8%
기 167
 
3.6%
업 158
 
3.4%
행 157
 
3.4%
사 156
 
3.3%
년 155
 
3.3%
호 151
 
3.2%
Other values (205) 2724
58.2%
Latin
ValueCountFrequency (%)
A 9
 
10.8%
I 7
 
8.4%
R 6
 
7.2%
E 6
 
7.2%
M 6
 
7.2%
T 5
 
6.0%
D 5
 
6.0%
B 4
 
4.8%
N 3
 
3.6%
o 3
 
3.6%
Other values (18) 29
34.9%
Common
ValueCountFrequency (%)
1267
44.6%
2 432
 
15.2%
- 227
 
8.0%
0 197
 
6.9%
( 171
 
6.0%
) 171
 
6.0%
1 134
 
4.7%
3 66
 
2.3%
[ 30
 
1.1%
] 30
 
1.1%
Other values (10) 115
 
4.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4684
61.6%
ASCII 2914
38.3%
None 9
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1267
43.5%
2 432
 
14.8%
- 227
 
7.8%
0 197
 
6.8%
( 171
 
5.9%
) 171
 
5.9%
1 134
 
4.6%
3 66
 
2.3%
[ 30
 
1.0%
] 30
 
1.0%
Other values (37) 189
 
6.5%
Hangul
ValueCountFrequency (%)
공 332
 
7.1%
고 312
 
6.7%
시 194
 
4.1%
제 178
 
3.8%
기 167
 
3.6%
업 158
 
3.4%
행 157
 
3.4%
사 156
 
3.3%
년 155
 
3.3%
호 151
 
3.2%
Other values (205) 2724
58.2%
None
ValueCountFrequency (%)
· 9
100.0%

공고일
Date

Distinct55
Distinct (%)36.4%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
Minimum2021-01-08 00:00:00
Maximum2022-04-04 00:00:00
2023-12-12T07:55:58.180587image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T07:55:58.301686image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

접수일
Date

Distinct52
Distinct (%)34.4%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
Minimum2021-01-08 00:00:00
Maximum2022-04-04 00:00:00
2023-12-12T07:55:58.462754image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T07:55:58.629351image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

마감일
Date

Distinct44
Distinct (%)29.1%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
Minimum2021-02-09 00:00:00
Maximum2022-04-22 00:00:00
2023-12-12T07:55:58.755392image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T07:55:58.903153image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=44)

공고문 바로가기(url)
Text

UNIQUE 

Distinct151
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
2023-12-12T07:55:59.273537image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length69
Median length69
Mean length68.92053
Min length68

Characters and Unicode

Total characters10407
Distinct characters35
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique151 ?
Unique (%)100.0%

Sample

1st rowhttp://www.kaia.re.kr/portal/bbs/view/B0000029/11004.do?menuNo=200110
2nd rowhttp://www.kaia.re.kr/portal/bbs/view/B0000029/10995.do?menuNo=200110
3rd rowhttp://www.kaia.re.kr/portal/bbs/view/B0000029/10988.do?menuNo=200110
4th rowhttp://www.kaia.re.kr/portal/bbs/view/B0000029/10984.do?menuNo=200110
5th rowhttp://www.kaia.re.kr/portal/bbs/view/B0000029/10983.do?menuNo=200110
ValueCountFrequency (%)
http://www.kaia.re.kr/portal/bbs/view/b0000029/11004.do?menuno=200110 1
 
0.7%
http://www.kaia.re.kr/portal/bbs/view/b0000029/10079.do?menuno=200110 1
 
0.7%
http://www.kaia.re.kr/portal/bbs/view/b0000029/10124.do?menuno=200110 1
 
0.7%
http://www.kaia.re.kr/portal/bbs/view/b0000029/10123.do?menuno=200110 1
 
0.7%
http://www.kaia.re.kr/portal/bbs/view/b0000029/10107.do?menuno=200110 1
 
0.7%
http://www.kaia.re.kr/portal/bbs/view/b0000029/10100.do?menuno=200110 1
 
0.7%
http://www.kaia.re.kr/portal/bbs/view/b0000029/10097.do?menuno=200110 1
 
0.7%
http://www.kaia.re.kr/portal/bbs/view/b0000029/10094.do?menuno=200110 1
 
0.7%
http://www.kaia.re.kr/portal/bbs/view/b0000029/10091.do?menuno=200110 1
 
0.7%
http://www.kaia.re.kr/portal/bbs/view/b0000029/10090.do?menuno=200110 1
 
0.7%
Other values (141) 141
93.4%
2023-12-12T07:55:59.716623image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 1426
 
13.7%
/ 1057
 
10.2%
w 604
 
5.8%
. 604
 
5.8%
1 487
 
4.7%
e 453
 
4.4%
t 453
 
4.4%
a 453
 
4.4%
r 453
 
4.4%
o 453
 
4.4%
Other values (25) 3964
38.1%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 5285
50.8%
Decimal Number 2706
26.0%
Other Punctuation 1963
 
18.9%
Uppercase Letter 302
 
2.9%
Math Symbol 151
 
1.5%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
w 604
11.4%
e 453
 
8.6%
t 453
 
8.6%
a 453
 
8.6%
r 453
 
8.6%
o 453
 
8.6%
p 302
 
5.7%
k 302
 
5.7%
i 302
 
5.7%
b 302
 
5.7%
Other values (8) 1208
22.9%
Decimal Number
ValueCountFrequency (%)
0 1426
52.7%
1 487
 
18.0%
2 338
 
12.5%
9 245
 
9.1%
8 72
 
2.7%
3 31
 
1.1%
4 29
 
1.1%
5 29
 
1.1%
7 26
 
1.0%
6 23
 
0.8%
Other Punctuation
ValueCountFrequency (%)
/ 1057
53.8%
. 604
30.8%
? 151
 
7.7%
: 151
 
7.7%
Uppercase Letter
ValueCountFrequency (%)
N 151
50.0%
B 151
50.0%
Math Symbol
ValueCountFrequency (%)
= 151
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 5587
53.7%
Common 4820
46.3%

Most frequent character per script

Latin
ValueCountFrequency (%)
w 604
 
10.8%
e 453
 
8.1%
t 453
 
8.1%
a 453
 
8.1%
r 453
 
8.1%
o 453
 
8.1%
p 302
 
5.4%
k 302
 
5.4%
i 302
 
5.4%
b 302
 
5.4%
Other values (10) 1510
27.0%
Common
ValueCountFrequency (%)
0 1426
29.6%
/ 1057
21.9%
. 604
12.5%
1 487
 
10.1%
2 338
 
7.0%
9 245
 
5.1%
? 151
 
3.1%
= 151
 
3.1%
: 151
 
3.1%
8 72
 
1.5%
Other values (5) 138
 
2.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 10407
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 1426
 
13.7%
/ 1057
 
10.2%
w 604
 
5.8%
. 604
 
5.8%
1 487
 
4.7%
e 453
 
4.4%
t 453
 
4.4%
a 453
 
4.4%
r 453
 
4.4%
o 453
 
4.4%
Other values (25) 3964
38.1%

공고금액
Real number (ℝ)

ZEROS 

Distinct82
Distinct (%)54.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.8655117 × 1010
Minimum0
Maximum1.95172 × 1011
Zeros8
Zeros (%)5.3%
Negative0
Negative (%)0.0%
Memory size1.5 KiB
2023-12-12T07:55:59.927542image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile11716.5
Q12.4 × 109
median1.604 × 1010
Q32.305 × 1010
95-th percentile5.1948 × 1010
Maximum1.95172 × 1011
Range1.95172 × 1011
Interquartile range (IQR)2.065 × 1010

Descriptive statistics

Standard deviation2.9174284 × 1010
Coefficient of variation (CV)1.5638757
Kurtosis25.371784
Mean1.8655117 × 1010
Median Absolute Deviation (MAD)1.04 × 1010
Skewness4.6491571
Sum2.8169226 × 1012
Variance8.5113882 × 1020
MonotonicityNot monotonic
2023-12-12T07:56:00.151860image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 8
 
5.3%
1320000000 5
 
3.3%
18248000000 4
 
2.6%
11520000000 4
 
2.6%
26893000000 4
 
2.6%
24011000000 3
 
2.0%
24490000000 3
 
2.0%
2000000000 3
 
2.0%
195172000000 3
 
2.0%
18728000000 2
 
1.3%
Other values (72) 112
74.2%
ValueCountFrequency (%)
0 8
5.3%
23433 1
 
0.7%
24971 1
 
0.7%
120000000 1
 
0.7%
200000000 1
 
0.7%
257800000 2
 
1.3%
280000000 1
 
0.7%
360000000 1
 
0.7%
400000000 2
 
1.3%
500000000 1
 
0.7%
ValueCountFrequency (%)
195172000000 3
2.0%
92084000000 1
 
0.7%
74691000000 1
 
0.7%
65417000000 2
1.3%
51948000000 2
1.3%
39000000000 1
 
0.7%
28420000000 1
 
0.7%
27500000000 2
1.3%
27180000000 2
1.3%
26893000000 4
2.6%

문의처
Categorical

Distinct48
Distinct (%)31.8%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
031-389-6417
 
9
031-389-6456
 
8
031-389-6520
 
7
031-389-6428
 
7
031-389-6476
 
6
Other values (43)
114 

Length

Max length13
Median length12
Mean length12.013245
Min length11

Unique

Unique9 ?
Unique (%)6.0%

Sample

1st row031-389-6441
2nd row031-389-6451
3rd row031-389-6403
4th row031-389-6471
5th row031-389-6347

Common Values

ValueCountFrequency (%)
031-389-6417 9
 
6.0%
031-389-6456 8
 
5.3%
031-389-6520 7
 
4.6%
031-389-6428 7
 
4.6%
031-389-6476 6
 
4.0%
031-389-6579 6
 
4.0%
031-389-6471 5
 
3.3%
031-389-6469 5
 
3.3%
031-389-6378 4
 
2.6%
031-389-6347 4
 
2.6%
Other values (38) 90
59.6%

Length

2023-12-12T07:56:00.351696image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
031-389-6417 9
 
6.0%
031-389-6456 8
 
5.3%
031-389-6520 7
 
4.6%
031-389-6428 7
 
4.6%
031-389-6476 6
 
4.0%
031-389-6579 6
 
4.0%
031-389-6471 5
 
3.3%
031-389-6469 5
 
3.3%
031-389-6463 4
 
2.6%
031-389-6425 4
 
2.6%
Other values (38) 90
59.6%

사업명
Text

Distinct61
Distinct (%)40.4%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
2023-12-12T07:56:00.841397image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length43
Median length26
Mean length20.682119
Min length8

Characters and Unicode

Total characters3123
Distinct characters240
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique8 ?
Unique (%)5.3%

Sample

1st row물류시설 화재 안전성 및 위험도 관리 기술 개발
2nd row국토교통연구기획
3rd row국토교통 DNA 플러스 융합기술대학원 육성사업
4th row항공기 개조 인증기술개발
5th row위성정보 빅데이터 활용 국토종합 관리기술개발
ValueCountFrequency (%)
기술개발 43
 
6.3%
개발 35
 
5.1%
및 24
 
3.5%
기반 15
 
2.2%
핵심기술 13
 
1.9%
기술 13
 
1.9%
국토교통연구기획 10
 
1.5%
인프라 10
 
1.5%
국토교통 10
 
1.5%
위한 9
 
1.3%
Other values (199) 505
73.5%
2023-12-12T07:56:01.506763image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
536
 
17.2%
기 166
 
5.3%
개 112
 
3.6%
술 110
 
3.5%
발 105
 
3.4%
통 50
 
1.6%
국 43
 
1.4%
업 43
 
1.4%
사 41
 
1.3%
도 41
 
1.3%
Other values (230) 1876
60.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2476
79.3%
Space Separator 536
 
17.2%
Uppercase Letter 58
 
1.9%
Decimal Number 18
 
0.6%
Lowercase Letter 18
 
0.6%
Other Punctuation 9
 
0.3%
Close Punctuation 3
 
0.1%
Open Punctuation 3
 
0.1%
Dash Punctuation 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
기 166
 
6.7%
개 112
 
4.5%
술 110
 
4.4%
발 105
 
4.2%
통 50
 
2.0%
국 43
 
1.7%
업 43
 
1.7%
사 41
 
1.7%
도 41
 
1.7%
지 39
 
1.6%
Other values (193) 1726
69.7%
Uppercase Letter
ValueCountFrequency (%)
A 8
13.8%
I 7
12.1%
E 6
10.3%
M 6
10.3%
T 5
8.6%
R 4
 
6.9%
B 4
 
6.9%
N 3
 
5.2%
D 3
 
5.2%
W 2
 
3.4%
Other values (5) 10
17.2%
Lowercase Letter
ValueCountFrequency (%)
o 3
16.7%
m 2
11.1%
a 2
11.1%
h 2
11.1%
k 2
11.1%
p 2
11.1%
c 1
 
5.6%
e 1
 
5.6%
r 1
 
5.6%
l 1
 
5.6%
Decimal Number
ValueCountFrequency (%)
0 10
55.6%
1 2
 
11.1%
2 2
 
11.1%
7 2
 
11.1%
3 2
 
11.1%
Other Punctuation
ValueCountFrequency (%)
· 7
77.8%
/ 2
 
22.2%
Space Separator
ValueCountFrequency (%)
536
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2476
79.3%
Common 571
 
18.3%
Latin 76
 
2.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
기 166
 
6.7%
개 112
 
4.5%
술 110
 
4.4%
발 105
 
4.2%
통 50
 
2.0%
국 43
 
1.7%
업 43
 
1.7%
사 41
 
1.7%
도 41
 
1.7%
지 39
 
1.6%
Other values (193) 1726
69.7%
Latin
ValueCountFrequency (%)
A 8
 
10.5%
I 7
 
9.2%
E 6
 
7.9%
M 6
 
7.9%
T 5
 
6.6%
R 4
 
5.3%
B 4
 
5.3%
N 3
 
3.9%
D 3
 
3.9%
o 3
 
3.9%
Other values (16) 27
35.5%
Common
ValueCountFrequency (%)
536
93.9%
0 10
 
1.8%
· 7
 
1.2%
) 3
 
0.5%
( 3
 
0.5%
1 2
 
0.4%
2 2
 
0.4%
/ 2
 
0.4%
- 2
 
0.4%
7 2
 
0.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2476
79.3%
ASCII 640
 
20.5%
None 7
 
0.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
536
83.8%
0 10
 
1.6%
A 8
 
1.2%
I 7
 
1.1%
E 6
 
0.9%
M 6
 
0.9%
T 5
 
0.8%
R 4
 
0.6%
B 4
 
0.6%
) 3
 
0.5%
Other values (26) 51
 
8.0%
Hangul
ValueCountFrequency (%)
기 166
 
6.7%
개 112
 
4.5%
술 110
 
4.4%
발 105
 
4.2%
통 50
 
2.0%
국 43
 
1.7%
업 43
 
1.7%
사 41
 
1.7%
도 41
 
1.7%
지 39
 
1.6%
Other values (193) 1726
69.7%
None
ValueCountFrequency (%)
· 7
100.0%

Interactions

2023-12-12T07:55:55.708802image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T07:55:55.489182image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T07:55:55.826091image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T07:55:55.588686image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T07:56:01.636265image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번공고일접수일마감일공고금액문의처사업명
순번1.0000.9640.9530.9370.3070.6770.594
공고일0.9641.0001.0000.9990.0000.8050.000
접수일0.9531.0001.0000.9990.5060.7870.000
마감일0.9370.9990.9991.0000.2380.7590.000
공고금액0.3070.0000.5060.2381.0000.8870.930
문의처0.6770.8050.7870.7590.8871.0000.995
사업명0.5940.0000.0000.0000.9300.9951.000
2023-12-12T07:56:01.762443image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번공고금액문의처
순번1.000-0.1060.284
공고금액-0.1061.0000.499
문의처0.2840.4991.000

Missing values

2023-12-12T07:55:55.964489image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T07:55:56.144106image/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

순번공고형태공고유형부처명공고기관명공고명공고일접수일마감일공고문 바로가기(url)공고금액문의처사업명
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