語系:
繁體中文
English
說明(常見問題)
登入
回首頁
切換:
標籤
|
MARC模式
|
ISBD
Pro Data Visualization Using R and JavaScript = Analyze and Visualize Key Data on the Web /
紀錄類型:
書目-語言資料,印刷品 : Monograph/item
正題名/作者:
Pro Data Visualization Using R and JavaScript/ by Tom Barker, Jon Westfall.
其他題名:
Analyze and Visualize Key Data on the Web /
作者:
Barker, Tom.
其他作者:
Westfall, Jon.
面頁冊數:
XV, 274 p. 112 illus.online resource. :
Contained By:
Springer Nature eBook
標題:
Statistics. -
電子資源:
https://doi.org/10.1007/978-1-4842-7202-2
ISBN:
9781484272022
Pro Data Visualization Using R and JavaScript = Analyze and Visualize Key Data on the Web /
Barker, Tom.
Pro Data Visualization Using R and JavaScript
Analyze and Visualize Key Data on the Web /[electronic resource] :by Tom Barker, Jon Westfall. - 2nd ed. 2022. - XV, 274 p. 112 illus.online resource.
1. Background -- 2. R Language Primer -- 3. A Deeper Dive into R -- 4. Data Visualization with D3 -- 5. Visualizing Spatial Data from Access Logs -- 6. Visualizing Data Over Time -- 7. Bar Charts -- 8. Correlation Analysis with Scatter Plots -- 9. Visualizing the Balance of Delivery and Quality with Parallel Coordinates.
Use R 4, RStudio, Tidyverse, and Shiny to interrogate and analyze your data, and then use the D3 JavaScript library to format and display that data in an elegant, informative, and interactive way. You will learn how to gather data effectively, and also how to understand the philosophy and implementation of each type of chart, so as to be able to represent the results visually. With the popularity of the R language, the art and practice of creating data visualizations is no longer the preserve of mathematicians, statisticians, or cartographers. As technology leaders, we can gather metrics around what we do and use data visualizations to communicate that information. Pro Data Visualization Using R and JavaScript combines the power of the R language with the simplicity and familiarity of JavaScript to display clear and informative data visualizations. Gathering and analyzing empirical data is the key to truly understanding anything. We can track operational metrics to quantify the health of our products in production. We can track quality metrics of our projects, and even use our data to identify bad code. Visualizing this data allows anyone to read our analysis and easily get a deep understanding of the story the data tells. This book makes the R language approachable, and promotes the idea of data gathering and analysis mostly using web interfaces. You will: Carry out data visualization using R and JavaScript Use RStudio for data visualization Harness Tidyverse data pipelines Apply D3 and R Notebooks towards your data Work with the R Plumber API generator, Shiny, and more.
ISBN: 9781484272022
Standard No.: 10.1007/978-1-4842-7202-2doiSubjects--Topical Terms:
556824
Statistics.
LC Class. No.: QA76.7-.73
Dewey Class. No.: 005.13
Pro Data Visualization Using R and JavaScript = Analyze and Visualize Key Data on the Web /
LDR
:03304nam a22003975i 4500
001
1089765
003
DE-He213
005
20220512142254.0
007
cr nn 008mamaa
008
221228s2022 xxu| s |||| 0|eng d
020
$a
9781484272022
$9
978-1-4842-7202-2
024
7
$a
10.1007/978-1-4842-7202-2
$2
doi
035
$a
978-1-4842-7202-2
050
4
$a
QA76.7-.73
072
7
$a
UMX
$2
bicssc
072
7
$a
COM000000
$2
bisacsh
072
7
$a
UMX
$2
thema
082
0 4
$a
005.13
$2
23
100
1
$a
Barker, Tom.
$4
aut
$4
http://id.loc.gov/vocabulary/relators/aut
$3
882802
245
1 0
$a
Pro Data Visualization Using R and JavaScript
$h
[electronic resource] :
$b
Analyze and Visualize Key Data on the Web /
$c
by Tom Barker, Jon Westfall.
250
$a
2nd ed. 2022.
264
1
$a
Berkeley, CA :
$b
Apress :
$b
Imprint: Apress,
$c
2022.
300
$a
XV, 274 p. 112 illus.
$b
online resource.
336
$a
text
$b
txt
$2
rdacontent
337
$a
computer
$b
c
$2
rdamedia
338
$a
online resource
$b
cr
$2
rdacarrier
347
$a
text file
$b
PDF
$2
rda
505
0
$a
1. Background -- 2. R Language Primer -- 3. A Deeper Dive into R -- 4. Data Visualization with D3 -- 5. Visualizing Spatial Data from Access Logs -- 6. Visualizing Data Over Time -- 7. Bar Charts -- 8. Correlation Analysis with Scatter Plots -- 9. Visualizing the Balance of Delivery and Quality with Parallel Coordinates.
520
$a
Use R 4, RStudio, Tidyverse, and Shiny to interrogate and analyze your data, and then use the D3 JavaScript library to format and display that data in an elegant, informative, and interactive way. You will learn how to gather data effectively, and also how to understand the philosophy and implementation of each type of chart, so as to be able to represent the results visually. With the popularity of the R language, the art and practice of creating data visualizations is no longer the preserve of mathematicians, statisticians, or cartographers. As technology leaders, we can gather metrics around what we do and use data visualizations to communicate that information. Pro Data Visualization Using R and JavaScript combines the power of the R language with the simplicity and familiarity of JavaScript to display clear and informative data visualizations. Gathering and analyzing empirical data is the key to truly understanding anything. We can track operational metrics to quantify the health of our products in production. We can track quality metrics of our projects, and even use our data to identify bad code. Visualizing this data allows anyone to read our analysis and easily get a deep understanding of the story the data tells. This book makes the R language approachable, and promotes the idea of data gathering and analysis mostly using web interfaces. You will: Carry out data visualization using R and JavaScript Use RStudio for data visualization Harness Tidyverse data pipelines Apply D3 and R Notebooks towards your data Work with the R Plumber API generator, Shiny, and more.
650
2 4
$a
Statistics.
$3
556824
650
2 4
$a
Computer Science.
$3
593922
650
2 4
$a
Computer Imaging, Vision, Pattern Recognition and Graphics.
$3
671334
650
2 4
$a
Web Development.
$3
1114136
650
1 4
$a
Programming Language.
$3
1365750
650
0
$a
Statistics .
$3
1253516
650
0
$a
Computer science.
$3
573171
650
0
$a
Computer vision.
$3
561800
650
0
$a
Image processing—Digital techniques.
$3
1365735
650
0
$a
Internet programming.
$3
565353
650
0
$a
Programming languages (Electronic computers).
$3
1127615
700
1
$a
Westfall, Jon.
$4
aut
$4
http://id.loc.gov/vocabulary/relators/aut
$3
796803
710
2
$a
SpringerLink (Online service)
$3
593884
773
0
$t
Springer Nature eBook
776
0 8
$i
Printed edition:
$z
9781484272015
776
0 8
$i
Printed edition:
$z
9781484272039
776
0 8
$i
Printed edition:
$z
9781484285589
856
4 0
$u
https://doi.org/10.1007/978-1-4842-7202-2
912
$a
ZDB-2-CWD
912
$a
ZDB-2-SXPC
950
$a
Professional and Applied Computing (SpringerNature-12059)
950
$a
Professional and Applied Computing (R0) (SpringerNature-43716)
筆 0 讀者評論
多媒體
評論
新增評論
分享你的心得
Export
取書館別
處理中
...
變更密碼[密碼必須為2種組合(英文和數字)及長度為10碼以上]
登入