Overview

Dataset statistics

Number of variables11
Number of observations66
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory5.9 KiB
Average record size in memory92.0 B

Variable types

Numeric2
Text5
DateTime1
Categorical2
Boolean1

Dataset

Description국토교통R&D 과제를 통해서 구입하여 보유하고 있는 기관별 연구장비, 금액, 책임자,사업명,연구 기관 등 정보를 제공합니다.
Author국토교통과학기술진흥원
URLhttps://www.data.go.kr/data/3074793/fileData.do

Alerts

사업명 is highly overall correlated with 연구기관 and 1 other fieldsHigh correlation
연구기관 is highly overall correlated with 사업명High correlation
승연여부 is highly overall correlated with 사업명High correlation
승연여부 is highly imbalanced (88.7%)Imbalance
순번 has unique valuesUnique

Reproduction

Analysis started2023-12-12 15:42:28.503399
Analysis finished2023-12-12 15:42:30.377031
Duration1.87 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

순번
Real number (ℝ)

UNIQUE 

Distinct66
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean33.5
Minimum1
Maximum66
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size726.0 B
2023-12-13T00:42:30.482491image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile4.25
Q117.25
median33.5
Q349.75
95-th percentile62.75
Maximum66
Range65
Interquartile range (IQR)32.5

Descriptive statistics

Standard deviation19.196354
Coefficient of variation (CV)0.57302549
Kurtosis-1.2
Mean33.5
Median Absolute Deviation (MAD)16.5
Skewness0
Sum2211
Variance368.5
MonotonicityStrictly increasing
2023-12-13T00:42:30.690281image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
1.5%
51 1
 
1.5%
37 1
 
1.5%
38 1
 
1.5%
39 1
 
1.5%
40 1
 
1.5%
41 1
 
1.5%
42 1
 
1.5%
43 1
 
1.5%
44 1
 
1.5%
Other values (56) 56
84.8%
ValueCountFrequency (%)
1 1
1.5%
2 1
1.5%
3 1
1.5%
4 1
1.5%
5 1
1.5%
6 1
1.5%
7 1
1.5%
8 1
1.5%
9 1
1.5%
10 1
1.5%
ValueCountFrequency (%)
66 1
1.5%
65 1
1.5%
64 1
1.5%
63 1
1.5%
62 1
1.5%
61 1
1.5%
60 1
1.5%
59 1
1.5%
58 1
1.5%
57 1
1.5%

고정자산관리번호
Text

Distinct65
Distinct (%)98.5%
Missing0
Missing (%)0.0%
Memory size660.0 B
2023-12-13T00:42:30.993602image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length16
Mean length10.878788
Min length7

Characters and Unicode

Total characters718
Distinct characters46
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique64 ?
Unique (%)97.0%

Sample

1st rowP20221225J00836
2nd row4036065
3rd row2022-06-0001
4th rowF20220502
5th row217-H10-0166
ValueCountFrequency (%)
bac841900001 2
 
3.0%
2021-2837 1
 
1.5%
2021-10-4403 1
 
1.5%
2021-10-001 1
 
1.5%
2021-10-4402 1
 
1.5%
e-2021-00045 1
 
1.5%
yk202100783 1
 
1.5%
20210522 1
 
1.5%
292103958 1
 
1.5%
2021d00155 1
 
1.5%
Other values (56) 56
83.6%
2023-12-13T00:42:31.394941image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 172
24.0%
2 154
21.4%
1 98
13.6%
- 60
 
8.4%
4 30
 
4.2%
8 28
 
3.9%
5 23
 
3.2%
6 22
 
3.1%
3 21
 
2.9%
9 18
 
2.5%
Other values (36) 92
12.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 581
80.9%
Dash Punctuation 60
 
8.4%
Uppercase Letter 56
 
7.8%
Other Letter 12
 
1.7%
Connector Punctuation 4
 
0.6%
Close Punctuation 2
 
0.3%
Open Punctuation 2
 
0.3%
Space Separator 1
 
0.1%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
A 6
10.7%
E 5
 
8.9%
D 5
 
8.9%
C 5
 
8.9%
O 4
 
7.1%
M 4
 
7.1%
B 4
 
7.1%
P 4
 
7.1%
L 3
 
5.4%
R 3
 
5.4%
Other values (9) 13
23.2%
Other Letter
ValueCountFrequency (%)
차 1
8.3%
호 1
8.3%
터 1
8.3%
센 1
8.3%
구 1
8.3%
연 1
8.3%
사 1
8.3%
검 1
8.3%
동 1
8.3%
자 1
8.3%
Other values (2) 2
16.7%
Decimal Number
ValueCountFrequency (%)
0 172
29.6%
2 154
26.5%
1 98
16.9%
4 30
 
5.2%
8 28
 
4.8%
5 23
 
4.0%
6 22
 
3.8%
3 21
 
3.6%
9 18
 
3.1%
7 15
 
2.6%
Dash Punctuation
ValueCountFrequency (%)
- 60
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 4
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 650
90.5%
Latin 56
 
7.8%
Hangul 12
 
1.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
A 6
10.7%
E 5
 
8.9%
D 5
 
8.9%
C 5
 
8.9%
O 4
 
7.1%
M 4
 
7.1%
B 4
 
7.1%
P 4
 
7.1%
L 3
 
5.4%
R 3
 
5.4%
Other values (9) 13
23.2%
Common
ValueCountFrequency (%)
0 172
26.5%
2 154
23.7%
1 98
15.1%
- 60
 
9.2%
4 30
 
4.6%
8 28
 
4.3%
5 23
 
3.5%
6 22
 
3.4%
3 21
 
3.2%
9 18
 
2.8%
Other values (5) 24
 
3.7%
Hangul
ValueCountFrequency (%)
차 1
8.3%
호 1
8.3%
터 1
8.3%
센 1
8.3%
구 1
8.3%
연 1
8.3%
사 1
8.3%
검 1
8.3%
동 1
8.3%
자 1
8.3%
Other values (2) 2
16.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 706
98.3%
Hangul 12
 
1.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 172
24.4%
2 154
21.8%
1 98
13.9%
- 60
 
8.5%
4 30
 
4.2%
8 28
 
4.0%
5 23
 
3.3%
6 22
 
3.1%
3 21
 
3.0%
9 18
 
2.5%
Other values (24) 80
11.3%
Hangul
ValueCountFrequency (%)
차 1
8.3%
호 1
8.3%
터 1
8.3%
센 1
8.3%
구 1
8.3%
연 1
8.3%
사 1
8.3%
검 1
8.3%
동 1
8.3%
자 1
8.3%
Other values (2) 2
16.7%

한글장비명
Text

Distinct57
Distinct (%)86.4%
Missing0
Missing (%)0.0%
Memory size660.0 B
2023-12-13T00:42:31.738424image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length39
Median length32.5
Mean length14.757576
Min length3

Characters and Unicode

Total characters974
Distinct characters238
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

Unique49 ?
Unique (%)74.2%

Sample

1st row기준국 통신장치(FEE)
2nd row로봇독
3rd row다중센서 활용을 위한 이미징 레이저 스캐너
4th row판금원판 펀칭/절단 복합기
5th row가습기 부스터
ValueCountFrequency (%)
엑츄레이터 7
 
3.6%
개발용 5
 
2.6%
시스템 4
 
2.1%
플랫폼 4
 
2.1%
170ghz 4
 
2.1%
ndash 4
 
2.1%
d-band(110ghz 4
 
2.1%
자율주행차 3
 
1.5%
서버 3
 
1.5%
자동차 3
 
1.5%
Other values (131) 153
78.9%
2023-12-13T00:42:32.210514image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
128
 
13.1%
0 24
 
2.5%
이 22
 
2.3%
기 20
 
2.1%
차 19
 
2.0%
용 19
 
2.0%
1 19
 
2.0%
스 15
 
1.5%
터 13
 
1.3%
레 13
 
1.3%
Other values (228) 682
70.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 609
62.5%
Space Separator 128
 
13.1%
Lowercase Letter 70
 
7.2%
Decimal Number 67
 
6.9%
Uppercase Letter 56
 
5.7%
Other Punctuation 14
 
1.4%
Open Punctuation 10
 
1.0%
Close Punctuation 10
 
1.0%
Dash Punctuation 9
 
0.9%
Other Symbol 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 22
 
3.6%
기 20
 
3.3%
차 19
 
3.1%
용 19
 
3.1%
스 15
 
2.5%
터 13
 
2.1%
레 13
 
2.1%
시 13
 
2.1%
자 12
 
2.0%
동 11
 
1.8%
Other values (178) 452
74.2%
Uppercase Letter
ValueCountFrequency (%)
N 9
16.1%
G 9
16.1%
H 8
14.3%
D 7
12.5%
L 3
 
5.4%
C 3
 
5.4%
K 2
 
3.6%
P 2
 
3.6%
I 2
 
3.6%
V 2
 
3.6%
Other values (8) 9
16.1%
Lowercase Letter
ValueCountFrequency (%)
a 11
15.7%
n 9
12.9%
k 8
11.4%
z 8
11.4%
d 8
11.4%
h 6
8.6%
e 4
 
5.7%
b 4
 
5.7%
s 4
 
5.7%
t 2
 
2.9%
Other values (5) 6
8.6%
Decimal Number
ValueCountFrequency (%)
0 24
35.8%
1 19
28.4%
5 8
 
11.9%
2 7
 
10.4%
7 6
 
9.0%
3 2
 
3.0%
4 1
 
1.5%
Other Punctuation
ValueCountFrequency (%)
& 4
28.6%
; 4
28.6%
/ 3
21.4%
. 2
14.3%
, 1
 
7.1%
Space Separator
ValueCountFrequency (%)
128
100.0%
Open Punctuation
ValueCountFrequency (%)
( 10
100.0%
Close Punctuation
ValueCountFrequency (%)
) 10
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 9
100.0%
Other Symbol
ValueCountFrequency (%)
㎡ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 609
62.5%
Common 239
 
24.5%
Latin 126
 
12.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
이 22
 
3.6%
기 20
 
3.3%
차 19
 
3.1%
용 19
 
3.1%
스 15
 
2.5%
터 13
 
2.1%
레 13
 
2.1%
시 13
 
2.1%
자 12
 
2.0%
동 11
 
1.8%
Other values (178) 452
74.2%
Latin
ValueCountFrequency (%)
a 11
 
8.7%
N 9
 
7.1%
G 9
 
7.1%
n 9
 
7.1%
k 8
 
6.3%
z 8
 
6.3%
H 8
 
6.3%
d 8
 
6.3%
D 7
 
5.6%
h 6
 
4.8%
Other values (23) 43
34.1%
Common
ValueCountFrequency (%)
128
53.6%
0 24
 
10.0%
1 19
 
7.9%
( 10
 
4.2%
) 10
 
4.2%
- 9
 
3.8%
5 8
 
3.3%
2 7
 
2.9%
7 6
 
2.5%
& 4
 
1.7%
Other values (7) 14
 
5.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 609
62.5%
ASCII 364
37.4%
CJK Compat 1
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
128
35.2%
0 24
 
6.6%
1 19
 
5.2%
a 11
 
3.0%
( 10
 
2.7%
) 10
 
2.7%
- 9
 
2.5%
N 9
 
2.5%
G 9
 
2.5%
n 9
 
2.5%
Other values (39) 126
34.6%
Hangul
ValueCountFrequency (%)
이 22
 
3.6%
기 20
 
3.3%
차 19
 
3.1%
용 19
 
3.1%
스 15
 
2.5%
터 13
 
2.1%
레 13
 
2.1%
시 13
 
2.1%
자 12
 
2.0%
동 11
 
1.8%
Other values (178) 452
74.2%
CJK Compat
ValueCountFrequency (%)
㎡ 1
100.0%

영문장비명
Text

Distinct59
Distinct (%)89.4%
Missing0
Missing (%)0.0%
Memory size660.0 B
2023-12-13T00:42:32.516788image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length95
Median length47
Mean length32.969697
Min length5

Characters and Unicode

Total characters2176
Distinct characters65
Distinct categories9 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique52 ?
Unique (%)78.8%

Sample

1st rowFEE PROCESSING UNIT
2nd rowRobot Dog
3rd rowImaging laser scanner for multi-sensor utilization
4th rowSteel sheet punching/shearing multifunction machine
5th rowhumidifer booster
ValueCountFrequency (%)
for 14
 
5.0%
system 8
 
2.8%
of 8
 
2.8%
actuator 7
 
2.5%
dynamic 7
 
2.5%
test 6
 
2.1%
vehicle 6
 
2.1%
platform 4
 
1.4%
autonomous 4
 
1.4%
d-band(110ghz 4
 
1.4%
Other values (159) 213
75.8%
2023-12-13T00:42:32.998026image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
215
 
9.9%
e 186
 
8.5%
t 150
 
6.9%
a 133
 
6.1%
r 133
 
6.1%
n 128
 
5.9%
o 126
 
5.8%
i 121
 
5.6%
m 73
 
3.4%
c 66
 
3.0%
Other values (55) 845
38.8%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 1608
73.9%
Uppercase Letter 224
 
10.3%
Space Separator 215
 
9.9%
Decimal Number 74
 
3.4%
Other Punctuation 19
 
0.9%
Dash Punctuation 13
 
0.6%
Open Punctuation 11
 
0.5%
Close Punctuation 11
 
0.5%
Other Symbol 1
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 186
11.6%
t 150
 
9.3%
a 133
 
8.3%
r 133
 
8.3%
n 128
 
8.0%
o 126
 
7.8%
i 121
 
7.5%
m 73
 
4.5%
c 66
 
4.1%
l 65
 
4.0%
Other values (16) 427
26.6%
Uppercase Letter
ValueCountFrequency (%)
S 34
15.2%
D 26
11.6%
A 16
 
7.1%
T 15
 
6.7%
L 15
 
6.7%
N 14
 
6.2%
C 13
 
5.8%
E 11
 
4.9%
G 11
 
4.9%
H 10
 
4.5%
Other values (12) 59
26.3%
Decimal Number
ValueCountFrequency (%)
0 27
36.5%
1 19
25.7%
5 8
 
10.8%
2 7
 
9.5%
7 6
 
8.1%
4 4
 
5.4%
3 3
 
4.1%
Other Punctuation
ValueCountFrequency (%)
. 5
26.3%
; 5
26.3%
& 5
26.3%
/ 2
 
10.5%
, 2
 
10.5%
Space Separator
ValueCountFrequency (%)
215
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 13
100.0%
Open Punctuation
ValueCountFrequency (%)
( 11
100.0%
Close Punctuation
ValueCountFrequency (%)
) 11
100.0%
Other Symbol
ValueCountFrequency (%)
㎡ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 1832
84.2%
Common 344
 
15.8%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 186
 
10.2%
t 150
 
8.2%
a 133
 
7.3%
r 133
 
7.3%
n 128
 
7.0%
o 126
 
6.9%
i 121
 
6.6%
m 73
 
4.0%
c 66
 
3.6%
l 65
 
3.5%
Other values (38) 651
35.5%
Common
ValueCountFrequency (%)
215
62.5%
0 27
 
7.8%
1 19
 
5.5%
- 13
 
3.8%
( 11
 
3.2%
) 11
 
3.2%
5 8
 
2.3%
2 7
 
2.0%
7 6
 
1.7%
. 5
 
1.5%
Other values (7) 22
 
6.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2175
> 99.9%
CJK Compat 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
215
 
9.9%
e 186
 
8.6%
t 150
 
6.9%
a 133
 
6.1%
r 133
 
6.1%
n 128
 
5.9%
o 126
 
5.8%
i 121
 
5.6%
m 73
 
3.4%
c 66
 
3.0%
Other values (54) 844
38.8%
CJK Compat
ValueCountFrequency (%)
㎡ 1
100.0%

취득금액
Real number (ℝ)

Distinct57
Distinct (%)86.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.9215949 × 108
Minimum3500000
Maximum2.9738792 × 109
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size726.0 B
2023-12-13T00:42:33.631633image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3500000
5-th percentile19500000
Q139624855
median66275000
Q31.57827 × 108
95-th percentile6.2805 × 108
Maximum2.9738792 × 109
Range2.9703792 × 109
Interquartile range (IQR)1.1820214 × 108

Descriptive statistics

Standard deviation4.2019032 × 108
Coefficient of variation (CV)2.1866748
Kurtosis30.74577
Mean1.9215949 × 108
Median Absolute Deviation (MAD)31224600
Skewness5.1333543
Sum1.2682527 × 1010
Variance1.7655991 × 1017
MonotonicityNot monotonic
2023-12-13T00:42:33.829741image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
35050400 2
 
3.0%
90000000 2
 
3.0%
6380000 2
 
3.0%
139800000 2
 
3.0%
33550000 2
 
3.0%
180000000 2
 
3.0%
82500000 2
 
3.0%
186400000 2
 
3.0%
279600000 2
 
3.0%
41379420 1
 
1.5%
Other values (47) 47
71.2%
ValueCountFrequency (%)
3500000 1
1.5%
6380000 2
3.0%
19400000 1
1.5%
19800000 1
1.5%
31779000 1
1.5%
32000000 1
1.5%
32118070 1
1.5%
32373000 1
1.5%
33550000 2
3.0%
35050400 2
3.0%
ValueCountFrequency (%)
2973879157 1
1.5%
1353062367 1
1.5%
1145287130 1
1.5%
651000000 1
1.5%
559200000 1
1.5%
491700000 1
1.5%
402830000 1
1.5%
371600000 1
1.5%
279600000 2
3.0%
260000000 1
1.5%

취득일
Date

Distinct42
Distinct (%)63.6%
Missing0
Missing (%)0.0%
Memory size660.0 B
Minimum2021-08-05 00:00:00
Maximum2022-07-08 00:00:00
2023-12-13T00:42:33.992185image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:42:34.148654image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=42)

사업명
Categorical

HIGH CORRELATION 

Distinct27
Distinct (%)40.9%
Missing0
Missing (%)0.0%
Memory size660.0 B
국토교통기술촉진연구(R&D)
14 
자율주행기술개발혁신사업(R&D)
8 
차세대대인보안검색검색기술개발(R&D)
5 
국토교통기술사업화지원(R&D)
 
3
스마트건설기술개발사업(R&D)
 
3
Other values (22)
33 

Length

Max length41
Median length30
Mean length18.545455
Min length6

Unique

Unique13 ?
Unique (%)19.7%

Sample

1st row항공안전기술개발(R&D)
2nd row스마트건설기술개발사업
3rd row디지털 국토정보 기술개발사업
4th row고부가가치 융복합 물류 배송&middot;인프라 혁신기술개발 사업
5th row건설분야 성능기반 표준실험절차 개발

Common Values

ValueCountFrequency (%)
국토교통기술촉진연구(R&D) 14
21.2%
자율주행기술개발혁신사업(R&D) 8
 
12.1%
차세대대인보안검색검색기술개발(R&D) 5
 
7.6%
국토교통기술사업화지원(R&D) 3
 
4.5%
스마트건설기술개발사업(R&D) 3
 
4.5%
세계최장경간(200m급)경전철고가구조물실증연구(R&D) 3
 
4.5%
자율주행 기술개발 혁신사업 3
 
4.5%
빅데이터기반항공안전관리&middot;보안인증기술개발(R&D) 2
 
3.0%
교통물류연구(R&D) 2
 
3.0%
고부가가치 융복합 물류 배송&middot;인프라 혁신기술개발 사업 2
 
3.0%
Other values (17) 21
31.8%

Length

2023-12-13T00:42:34.315968image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
국토교통기술촉진연구(r&d 14
 
15.7%
자율주행기술개발혁신사업(r&d 8
 
9.0%
차세대대인보안검색검색기술개발(r&d 5
 
5.6%
국토교통기술사업화지원(r&d 3
 
3.4%
스마트건설기술개발사업(r&d 3
 
3.4%
세계최장경간(200m급)경전철고가구조물실증연구(r&d 3
 
3.4%
자율주행 3
 
3.4%
기술개발 3
 
3.4%
혁신사업 3
 
3.4%
혁신기술개발 2
 
2.2%
Other values (30) 42
47.2%

과제명
Text

Distinct34
Distinct (%)51.5%
Missing0
Missing (%)0.0%
Memory size660.0 B
2023-12-13T00:42:34.701589image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length58
Median length36.5
Mean length27.575758
Min length4

Characters and Unicode

Total characters1820
Distinct characters213
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique21 ?
Unique (%)31.8%

Sample

1st row총괄과제
2nd row임시 구조물 스마트 안전확보 기술 개발
3rd row디지털 국토정보 구축 효율화를 위한 다차원/다시점 공간데이터 기반 국토정보 변화인식 및 자동갱신 기술개발
4th row고밀도 스마트 택배 말단 보관 인프라 및 관리ㆍ운영기술 개발
5th row기후환경 표준실험절차 개발
ValueCountFrequency (%)
개발 40
 
9.4%
및 22
 
5.2%
공동활용기반 14
 
3.3%
고가실험장비 14
 
3.3%
구축(장비개선 14
 
3.3%
2차 14
 
3.3%
기술 13
 
3.1%
기술개발 8
 
1.9%
기반 7
 
1.6%
위한 7
 
1.6%
Other values (146) 272
64.0%
2023-12-13T00:42:35.294931image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
359
 
19.7%
개 65
 
3.6%
기 62
 
3.4%
발 51
 
2.8%
장 41
 
2.3%
비 37
 
2.0%
술 36
 
2.0%
차 29
 
1.6%
구 24
 
1.3%
가 24
 
1.3%
Other values (203) 1092
60.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1373
75.4%
Space Separator 359
 
19.7%
Decimal Number 25
 
1.4%
Close Punctuation 19
 
1.0%
Open Punctuation 19
 
1.0%
Uppercase Letter 12
 
0.7%
Other Punctuation 9
 
0.5%
Lowercase Letter 4
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
개 65
 
4.7%
기 62
 
4.5%
발 51
 
3.7%
장 41
 
3.0%
비 37
 
2.7%
술 36
 
2.6%
차 29
 
2.1%
구 24
 
1.7%
가 24
 
1.7%
동 23
 
1.7%
Other values (184) 981
71.4%
Uppercase Letter
ValueCountFrequency (%)
I 3
25.0%
A 3
25.0%
L 2
16.7%
S 1
 
8.3%
C 1
 
8.3%
T 1
 
8.3%
E 1
 
8.3%
Decimal Number
ValueCountFrequency (%)
2 17
68.0%
0 6
 
24.0%
4 1
 
4.0%
3 1
 
4.0%
Other Punctuation
ValueCountFrequency (%)
, 6
66.7%
/ 2
 
22.2%
. 1
 
11.1%
Lowercase Letter
ValueCountFrequency (%)
m 3
75.0%
v 1
 
25.0%
Space Separator
ValueCountFrequency (%)
359
100.0%
Close Punctuation
ValueCountFrequency (%)
) 19
100.0%
Open Punctuation
ValueCountFrequency (%)
( 19
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1373
75.4%
Common 431
 
23.7%
Latin 16
 
0.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
개 65
 
4.7%
기 62
 
4.5%
발 51
 
3.7%
장 41
 
3.0%
비 37
 
2.7%
술 36
 
2.6%
차 29
 
2.1%
구 24
 
1.7%
가 24
 
1.7%
동 23
 
1.7%
Other values (184) 981
71.4%
Common
ValueCountFrequency (%)
359
83.3%
) 19
 
4.4%
( 19
 
4.4%
2 17
 
3.9%
0 6
 
1.4%
, 6
 
1.4%
/ 2
 
0.5%
. 1
 
0.2%
4 1
 
0.2%
3 1
 
0.2%
Latin
ValueCountFrequency (%)
I 3
18.8%
A 3
18.8%
m 3
18.8%
L 2
12.5%
S 1
 
6.2%
v 1
 
6.2%
C 1
 
6.2%
T 1
 
6.2%
E 1
 
6.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1371
75.3%
ASCII 447
 
24.6%
Compat Jamo 2
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
359
80.3%
) 19
 
4.3%
( 19
 
4.3%
2 17
 
3.8%
0 6
 
1.3%
, 6
 
1.3%
I 3
 
0.7%
A 3
 
0.7%
m 3
 
0.7%
/ 2
 
0.4%
Other values (9) 10
 
2.2%
Hangul
ValueCountFrequency (%)
개 65
 
4.7%
기 62
 
4.5%
발 51
 
3.7%
장 41
 
3.0%
비 37
 
2.7%
술 36
 
2.6%
차 29
 
2.1%
구 24
 
1.8%
가 24
 
1.8%
동 23
 
1.7%
Other values (183) 979
71.4%
Compat Jamo
ValueCountFrequency (%)
ㆍ 2
100.0%

연구책임자
Text

Distinct34
Distinct (%)51.5%
Missing0
Missing (%)0.0%
Memory size660.0 B
2023-12-13T00:42:35.553442image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters198
Distinct characters55
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique20 ?
Unique (%)30.3%

Sample

1st row이병석
2nd row김형관
3rd row손홍규
4th row유시연
5th row김용길
ValueCountFrequency (%)
한범진 11
 
16.7%
박경현 5
 
7.6%
조성우 4
 
6.1%
김기영 3
 
4.5%
신정열 3
 
4.5%
조광상 3
 
4.5%
최선아 3
 
4.5%
김혁중 2
 
3.0%
유상우 2
 
3.0%
임석빈 2
 
3.0%
Other values (24) 28
42.4%
2023-12-13T00:42:35.993977image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
진 12
 
6.1%
한 11
 
5.6%
범 11
 
5.6%
김 11
 
5.6%
조 7
 
3.5%
최 7
 
3.5%
경 7
 
3.5%
박 7
 
3.5%
우 6
 
3.0%
영 6
 
3.0%
Other values (45) 113
57.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 198
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
진 12
 
6.1%
한 11
 
5.6%
범 11
 
5.6%
김 11
 
5.6%
조 7
 
3.5%
최 7
 
3.5%
경 7
 
3.5%
박 7
 
3.5%
우 6
 
3.0%
영 6
 
3.0%
Other values (45) 113
57.1%

Most occurring scripts

ValueCountFrequency (%)
Hangul 198
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
진 12
 
6.1%
한 11
 
5.6%
범 11
 
5.6%
김 11
 
5.6%
조 7
 
3.5%
최 7
 
3.5%
경 7
 
3.5%
박 7
 
3.5%
우 6
 
3.0%
영 6
 
3.0%
Other values (45) 113
57.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 198
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
진 12
 
6.1%
한 11
 
5.6%
범 11
 
5.6%
김 11
 
5.6%
조 7
 
3.5%
최 7
 
3.5%
경 7
 
3.5%
박 7
 
3.5%
우 6
 
3.0%
영 6
 
3.0%
Other values (45) 113
57.1%

연구기관
Categorical

HIGH CORRELATION 

Distinct24
Distinct (%)36.4%
Missing0
Missing (%)0.0%
Memory size660.0 B
(재단)국토교통연구인프라운영원
14 
한국교통안전공단
8 
한국전자통신연구원
6 
한국철도기술연구원
4 
(주)모핑아이
 
3
Other values (19)
31 

Length

Max length18
Median length12
Mean length10.227273
Min length6

Unique

Unique8 ?
Unique (%)12.1%

Sample

1st row(재)한국항공우주연구원
2nd row연세대학교 산학협력단
3rd row연세대학교 산학협력단
4th row(주)스마트큐브
5th row(재)한국건설생활환경시험연구원오창

Common Values

ValueCountFrequency (%)
(재단)국토교통연구인프라운영원 14
21.2%
한국교통안전공단 8
 
12.1%
한국전자통신연구원 6
 
9.1%
한국철도기술연구원 4
 
6.1%
(주)모핑아이 3
 
4.5%
한국건설기술연구원 3
 
4.5%
(재)한국항공우주연구원 2
 
3.0%
(주)스마트큐브 2
 
3.0%
한경대학교 산학협력단 2
 
3.0%
한국도로공사 2
 
3.0%
Other values (14) 20
30.3%

Length

2023-12-13T00:42:36.169904image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
재단)국토교통연구인프라운영원 14
20.0%
한국교통안전공단 8
 
11.4%
한국전자통신연구원 6
 
8.6%
한국철도기술연구원 4
 
5.7%
산학협력단 4
 
5.7%
주)모핑아이 3
 
4.3%
한국건설기술연구원 3
 
4.3%
한국부동산원 2
 
2.9%
한국교통연구원 2
 
2.9%
국토안전관리원 2
 
2.9%
Other values (15) 22
31.4%

승연여부
Boolean

HIGH CORRELATION  IMBALANCE 

Distinct2
Distinct (%)3.0%
Missing0
Missing (%)0.0%
Memory size198.0 B
True
65 
False
 
1
ValueCountFrequency (%)
True 65
98.5%
False 1
 
1.5%
2023-12-13T00:42:36.317003image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Interactions

2023-12-13T00:42:29.792613image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:42:29.531374image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:42:29.913788image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:42:29.652952image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T00:42:36.413229image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번고정자산관리번호한글장비명영문장비명취득금액취득일사업명과제명연구책임자연구기관승연여부
순번1.0001.0000.9760.9940.0000.9710.8580.8980.9130.8460.186
고정자산관리번호1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
한글장비명0.9761.0001.0001.0001.0000.9940.9991.0001.0001.0001.000
영문장비명0.9941.0001.0001.0001.0000.9981.0001.0001.0001.0001.000
취득금액0.0001.0001.0001.0001.0000.0000.0000.0000.0000.0000.000
취득일0.9711.0000.9940.9980.0001.0000.9900.9920.9920.9871.000
사업명0.8581.0000.9991.0000.0000.9901.0000.9990.9990.9911.000
과제명0.8981.0001.0001.0000.0000.9920.9991.0001.0001.0001.000
연구책임자0.9131.0001.0001.0000.0000.9920.9991.0001.0001.0001.000
연구기관0.8461.0001.0001.0000.0000.9870.9911.0001.0001.0000.000
승연여부0.1861.0001.0001.0000.0001.0001.0001.0001.0000.0001.000
2023-12-13T00:42:36.635263image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연구기관승연여부사업명
연구기관1.0000.0000.827
승연여부0.0001.0000.781
사업명0.8270.7811.000
2023-12-13T00:42:36.778167image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번취득금액사업명연구기관승연여부
순번1.0000.1480.4140.4170.000
취득금액0.1481.0000.0000.0000.000
사업명0.4140.0001.0000.8270.781
연구기관0.4170.0000.8271.0000.000
승연여부0.0000.0000.7810.0001.000

Missing values

2023-12-13T00:42:30.066111image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T00:42:30.305053image/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

순번고정자산관리번호한글장비명영문장비명취득금액취득일사업명과제명연구책임자연구기관승연여부
01P20221225J00836기준국 통신장치(FEE)FEE PROCESSING UNIT413794202022-07-08항공안전기술개발(R&D)총괄과제이병석(재)한국항공우주연구원Y
124036065로봇독Robot Dog470690002022-07-07스마트건설기술개발사업임시 구조물 스마트 안전확보 기술 개발김형관연세대학교 산학협력단Y
232022-06-0001다중센서 활용을 위한 이미징 레이저 스캐너Imaging laser scanner for multi-sensor utilization323730002022-06-14디지털 국토정보 기술개발사업디지털 국토정보 구축 효율화를 위한 다차원/다시점 공간데이터 기반 국토정보 변화인식 및 자동갱신 기술개발손홍규연세대학교 산학협력단Y
34F20220502판금원판 펀칭/절단 복합기Steel sheet punching/shearing multifunction machine890000002022-05-25고부가가치 융복합 물류 배송&middot;인프라 혁신기술개발 사업고밀도 스마트 택배 말단 보관 인프라 및 관리ㆍ운영기술 개발유시연(주)스마트큐브Y
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