Overview

Dataset statistics

Number of variables4
Number of observations120
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory4.0 KiB
Average record size in memory34.1 B

Variable types

DateTime1
Categorical1
Text1
Numeric1

Dataset

Description한국해양수산연수원의 기술개발제품 구매실적 현황 정보입니다. 기술개발제품 구매실적 현황은은 구매일자, 제품특성, 제품명, 구매금액의 항목으로 구성됩니다.기준년도 : 2020년~2022년
Author한국해양수산연수원
URLhttps://www.data.go.kr/data/15121727/fileData.do

Reproduction

Analysis started2023-12-12 04:57:03.242951
Analysis finished2023-12-12 04:57:03.746399
Duration0.5 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

구매일자
Date

Distinct64
Distinct (%)53.3%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
Minimum2020-02-06 00:00:00
Maximum2022-12-16 00:00:00
2023-12-12T13:57:03.820420image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:57:03.973956image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

제품특성
Categorical

Distinct14
Distinct (%)11.7%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
녹색기술제품
31 
GS
24 
우수조달
23 
녹색기술제품, 우수디자인상품선정제품
10 
혁신시제품
8 
Other values (9)
24 

Length

Max length26
Median length13
Mean length7.1916667
Min length2

Unique

Unique4 ?
Unique (%)3.3%

Sample

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

Common Values

ValueCountFrequency (%)
녹색기술제품 31
25.8%
GS 24
20.0%
우수조달 23
19.2%
녹색기술제품, 우수디자인상품선정제품 10
 
8.3%
혁신시제품 8
 
6.7%
우수조달, 성능인증 7
 
5.8%
성능인증, 녹색기술제품 4
 
3.3%
성능인증, 녹색기술제품, 우수디자인상품선정제품 4
 
3.3%
GS, 우수조달 3
 
2.5%
성능인증 2
 
1.7%
Other values (4) 4
 
3.3%

Length

2023-12-12T13:57:04.112227image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
녹색기술제품 49
31.4%
우수조달 36
23.1%
gs 28
17.9%
성능인증 17
 
10.9%
우수디자인상품선정제품 15
 
9.6%
혁신시제품 8
 
5.1%
nep 2
 
1.3%
net 1
 
0.6%

제품명
Text

Distinct67
Distinct (%)55.8%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
2023-12-12T13:57:04.451403image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length64
Median length57
Mean length20.85
Min length3

Characters and Unicode

Total characters2502
Distinct characters256
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

Unique54 ?
Unique (%)45.0%

Sample

1st row컴퓨터서버
2nd row산업용 추락보호 에어백
3rd row업무시스템 통합 자동인증솔루션
4th row다기능 그늘막
5th row콘텐츠관리클라우드서비스
ValueCountFrequency (%)
데스크톱컴퓨터 27
 
8.4%
트랜잭션보안및바이러스보호소프트웨어 8
 
2.5%
lcd패널또는모니터 7
 
2.2%
intel 7
 
2.2%
microsoft 7
 
2.2%
windows 7
 
2.2%
10 7
 
2.2%
pro 7
 
2.2%
core 7
 
2.2%
운영체제 7
 
2.2%
Other values (164) 230
71.7%
2023-12-12T13:57:05.106838image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
201
 
8.0%
, 136
 
5.4%
0 89
 
3.6%
스 62
 
2.5%
트 53
 
2.1%
1 51
 
2.0%
o 44
 
1.8%
r 43
 
1.7%
e 41
 
1.6%
터 40
 
1.6%
Other values (246) 1742
69.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1204
48.1%
Lowercase Letter 321
 
12.8%
Uppercase Letter 297
 
11.9%
Decimal Number 256
 
10.2%
Space Separator 201
 
8.0%
Other Punctuation 159
 
6.4%
Dash Punctuation 34
 
1.4%
Close Punctuation 12
 
0.5%
Open Punctuation 12
 
0.5%
Math Symbol 6
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
스 62
 
5.1%
트 53
 
4.4%
터 40
 
3.3%
어 35
 
2.9%
소 34
 
2.8%
프 34
 
2.8%
컴 33
 
2.7%
보 32
 
2.7%
이 32
 
2.7%
크 29
 
2.4%
Other values (182) 820
68.1%
Lowercase Letter
ValueCountFrequency (%)
o 44
13.7%
r 43
13.4%
e 41
12.8%
i 27
8.4%
t 22
 
6.9%
n 20
 
6.2%
c 20
 
6.2%
s 19
 
5.9%
m 13
 
4.0%
l 10
 
3.1%
Other values (12) 62
19.3%
Uppercase Letter
ValueCountFrequency (%)
D 30
 
10.1%
S 28
 
9.4%
C 28
 
9.4%
L 26
 
8.8%
E 24
 
8.1%
M 21
 
7.1%
W 18
 
6.1%
N 17
 
5.7%
P 14
 
4.7%
I 13
 
4.4%
Other values (12) 78
26.3%
Decimal Number
ValueCountFrequency (%)
0 89
34.8%
1 51
19.9%
5 34
 
13.3%
2 22
 
8.6%
4 14
 
5.5%
7 13
 
5.1%
6 9
 
3.5%
9 9
 
3.5%
8 8
 
3.1%
3 7
 
2.7%
Other Punctuation
ValueCountFrequency (%)
, 136
85.5%
. 18
 
11.3%
/ 4
 
2.5%
! 1
 
0.6%
Math Symbol
ValueCountFrequency (%)
× 4
66.7%
~ 2
33.3%
Space Separator
ValueCountFrequency (%)
201
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 34
100.0%
Close Punctuation
ValueCountFrequency (%)
) 12
100.0%
Open Punctuation
ValueCountFrequency (%)
( 12
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1204
48.1%
Common 680
27.2%
Latin 618
24.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
스 62
 
5.1%
트 53
 
4.4%
터 40
 
3.3%
어 35
 
2.9%
소 34
 
2.8%
프 34
 
2.8%
컴 33
 
2.7%
보 32
 
2.7%
이 32
 
2.7%
크 29
 
2.4%
Other values (182) 820
68.1%
Latin
ValueCountFrequency (%)
o 44
 
7.1%
r 43
 
7.0%
e 41
 
6.6%
D 30
 
4.9%
S 28
 
4.5%
C 28
 
4.5%
i 27
 
4.4%
L 26
 
4.2%
E 24
 
3.9%
t 22
 
3.6%
Other values (34) 305
49.4%
Common
ValueCountFrequency (%)
201
29.6%
, 136
20.0%
0 89
13.1%
1 51
 
7.5%
- 34
 
5.0%
5 34
 
5.0%
2 22
 
3.2%
. 18
 
2.6%
4 14
 
2.1%
7 13
 
1.9%
Other values (10) 68
 
10.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1294
51.7%
Hangul 1204
48.1%
None 4
 
0.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
201
 
15.5%
, 136
 
10.5%
0 89
 
6.9%
1 51
 
3.9%
o 44
 
3.4%
r 43
 
3.3%
e 41
 
3.2%
- 34
 
2.6%
5 34
 
2.6%
D 30
 
2.3%
Other values (53) 591
45.7%
Hangul
ValueCountFrequency (%)
스 62
 
5.1%
트 53
 
4.4%
터 40
 
3.3%
어 35
 
2.9%
소 34
 
2.8%
프 34
 
2.8%
컴 33
 
2.7%
보 32
 
2.7%
이 32
 
2.7%
크 29
 
2.4%
Other values (182) 820
68.1%
None
ValueCountFrequency (%)
× 4
100.0%

구매금액(원)
Real number (ℝ)

Distinct112
Distinct (%)93.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean18478684
Minimum0
Maximum2.32791 × 108
Zeros1
Zeros (%)0.8%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2023-12-12T13:57:05.302659image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile352200
Q11165000
median4639720
Q318037500
95-th percentile85800000
Maximum2.32791 × 108
Range2.32791 × 108
Interquartile range (IQR)16872500

Descriptive statistics

Standard deviation34199170
Coefficient of variation (CV)1.8507363
Kurtosis18.107666
Mean18478684
Median Absolute Deviation (MAD)4049820
Skewness3.789013
Sum2.2174421 × 109
Variance1.1695832 × 1015
MonotonicityNot monotonic
2023-12-12T13:57:05.498513image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
821000 2
 
1.7%
36000000 2
 
1.7%
2463000 2
 
1.7%
85800000 2
 
1.7%
62000000 2
 
1.7%
935000 2
 
1.7%
10659000 2
 
1.7%
99000000 2
 
1.7%
47820000 1
 
0.8%
2600000 1
 
0.8%
Other values (102) 102
85.0%
ValueCountFrequency (%)
0 1
0.8%
83800 1
0.8%
147840 1
0.8%
158000 1
0.8%
192000 1
0.8%
204000 1
0.8%
360000 1
0.8%
374000 1
0.8%
402000 1
0.8%
468000 1
0.8%
ValueCountFrequency (%)
232791000 1
0.8%
194892260 1
0.8%
104500000 1
0.8%
99000000 2
1.7%
85800000 2
1.7%
62000000 2
1.7%
60459000 1
0.8%
56475000 1
0.8%
47850000 1
0.8%
47820000 1
0.8%

Interactions

2023-12-12T13:57:03.479200image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T13:57:05.603271image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
구매일자제품특성제품명구매금액(원)
구매일자1.0000.8820.0000.703
제품특성0.8821.0000.9550.000
제품명0.0000.9551.0000.904
구매금액(원)0.7030.0000.9041.000
2023-12-12T13:57:05.701729image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
구매금액(원)제품특성
구매금액(원)1.0000.000
제품특성0.0001.000

Missing values

2023-12-12T13:57:03.586044image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T13:57:03.714619image/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

구매일자제품특성제품명구매금액(원)
02022-11-01혁신시제품컴퓨터서버47820000
12022-10-25혁신시제품산업용 추락보호 에어백12100000
22022-10-05혁신시제품업무시스템 통합 자동인증솔루션104500000
32022-10-01혁신시제품다기능 그늘막36000000
42022-03-18혁신시제품콘텐츠관리클라우드서비스3960000
52022-12-16GS방화벽장치, 윈스, SNIPER ONE-d 4300, DDoS 방어42000000
62022-12-14GS방화벽장치, 시큐아이, BLUEMAX NGF 300, 네트워크보안솔루션5141000
72022-11-04NET, 우수조달고상제설제, 지오에코텍, Snow Key 15, 환경표지2종, 15kg/포158000
82022-10-06GS, 우수조달영상감시장치, 세오, SEO-SSSR-N2100, 중앙감시시스템56475000
92022-10-06NEP, GS, 우수조달영상감시장치, 세오, SE-CEN-N01, 방범감시시스템1809000
구매일자제품특성제품명구매금액(원)
1102020-03-25GS, 우수조달파일시스템소프트웨어99000000
1112020-03-25GS트랜잭션보안및바이러스보호소프트웨어2727000
1122020-03-25GS트랜잭션보안및바이러스보호소프트웨어6560000
1132020-03-25우수조달염소처리장비85800000
1142020-03-20GS, 우수조달트랜잭션보안및바이러스보호소프트웨어38800000
1152020-03-19우수조달, 성능인증상업용오븐28350000
1162020-03-03우수조달태양광발전장치232791000
1172020-03-03NEP, 우수조달투광조명14504000
1182020-03-03우수조달배전반40243000
1192020-02-06GS방화벽장치47850000