Learning R for Data Visualization – Packt Publishing

Question and Answer

What is R?

R is Learning for Data Visualization Get to grips with R’s most popular packages and functions to create interactive visualizations for the web Get to grips with R’s most popular packages and functions to create interactive visualizations for the web About This Video Learn how to visualize data and import/export in CSV, TXT, and Excel formats Develop a professionally-featured website using the best R has to offer Focus on demonstrating customized visualization on your website In Detail R is on the rise and showing itself as a powerful option in many software development domains..

How does R Learning?

Learning R for Data Visualization Get to grips with R’s most popular packages and functions to create interactive visualizations for the web Get to grips with R’s most popular packages and functions to create interactive visualizations for the web About This Video Learn how to visualize data and import/export in CSV, TXT, and Excel formats Develop a professionally-featured website using the best R has to offer Focus on demonstrating customized visualization on your website In Detail R is on the rise and showing itself as a powerful option in many software development domains.

What is its core,?

its core, is At R is a statistical programming language that provides impressive tools for data mining and analysis, creating high-level graphics, and machine learning..

How does its core, is?

At its core, R is a statistical programming language that provides impressive tools for data mining and analysis, creating high-level graphics, and machine learning.

What is R?

R is gives aspiring analysts and data scientists the ability to represent complex sets of data in an impressive way..

How does R gives?

R gives aspiring analysts and data scientists the ability to represent complex sets of data in an impressive way.

What is The course?

The course is is structured in simple lessons so that the learning process feels like a step-by-step guide to plotting..

How does The course is structured?

The course is structured in simple lessons so that the learning process feels like a step-by-step guide to plotting.

What is We?

We is start by importing data in R from popular formats such as CSV and Excel tables..

How does We start?

We start by importing data in R from popular formats such as CSV and Excel tables.

What is you?

you is Then will learn how to create basic plots such as histograms, scatterplots, and more, with the default options, which guarantees stunning results..

How does you will learn?

Then you will learn how to create basic plots such as histograms, scatterplots, and more, with the default options, which guarantees stunning results.

What is The second part of the course?

The second part of the course is is dedicated to interactive plots..

How does The second part of the course is dedicated?

The second part of the course is dedicated to interactive plots.

What is Static plots,?

Static plots, is in fact, are extremely important for scientific manuscripts, but nowadays most of our work is done online on websites and blogs, where static plots do not harness the full potential of the technology..

How does Static plots, are extremely?

Static plots, in fact, are extremely important for scientific manuscripts, but nowadays most of our work is done online on websites and blogs, where static plots do not harness the full potential of the technology.

What is Interactive plots,?

Interactive plots, is on the other hand, can improve that and allow us to present our results in more appealing and informative ways, by using the native language of the web..

How does Interactive plots, can improve?

Interactive plots, on the other hand, can improve that and allow us to present our results in more appealing and informative ways, by using the native language of the web.

What is you?

you is Do not worry though, will not need to learn an additional programming language because this course will show you how to create stunning web plots directly from R. In the final part of the course, the Shiny package will be extensively discussed..

How does you Do not worry?

Do not worry though, you will not need to learn an additional programming language because this course will show you how to create stunning web plots directly from R. In the final part of the course, the Shiny package will be extensively discussed.

What is you?

you is This allows to create fully-featured web pages directly from the R console, and Shiny also allows it to be uploaded to a live website where your peers and colleagues can browse it and you can share your work..

How does you allows?

This allows you to create fully-featured web pages directly from the R console, and Shiny also allows it to be uploaded to a live website where your peers and colleagues can browse it and you can share your work.

What is You?

You is will see how to build a complete website to import and plot data, plus we will present a method to upload it for everybody to use..

How does You will see?

You will see how to build a complete website to import and plot data, plus we will present a method to upload it for everybody to use.

What is you?

you is Finally, will revise all the concepts you've learned while having some fun creating a complete website..

How does you will revise?

Finally, you will revise all the concepts you've learned while having some fun creating a complete website.

What is the end of the course,?

the end of the course, is By you will have an armour full of different visualization techniques, with the capacity to apply these abilities to real-world data sets..

How does the end of the course, will have?

By the end of the course, you will have an armour full of different visualization techniques, with the capacity to apply these abilities to real-world data sets.

What is Learning R?

Learning R is Get for Data Visualization - Packt Publishing, Only Price $32 Course Curriculum Introducing Scientific Plotting in R The Course Overview (5:32) Preview of R Plotting Functionalities (3:15) Loading Tables and CSV Files (4:41) Introducing the Dataset (3:21) Loading Excel Files (3:33) Exporting Data (4:18) Scientific Plotting in ggplot2 Creating Histograms (5:01) The Importance of Box Plots (3:44) Plotting Bar Charts (2:43) Plotting Multiple Variables – Scatterplots (3:06) Dealing with Time – Time-series Plots (2:38) Handling Uncertainty (4:15) Customizing Plots Changing Theme (3:07) Changing Colors (3:19) Modifying Axis and Labels (2:40) Adding Supplementary Elements (4:08) Adding Text Inside and Outside of the Plot (5:02) Multi-plots (3:59) Exporting Plots Exporting Plots as Images (3:24) Adjusting the Page Size (2:32)t Interactive Plots in rCharts Getting Started with Interactive Plotting (2:44) Creating Interactive Histograms and Box Plots (4:55) Plotting Interactive Bar Charts (3:12) Creating Interactive Scatterplots (2:58) Developing Interactive Time-series Plots (3:47) Creating a Website with Shiny Getting Started with Shiny (4:09) Creating a Simple Website (4:52) File Input (3:09) Conditional Panels – UI (3:44) Conditional Panels – Servers (5:31) Deploying the Site (5:37) Get Learning R for Data Visualization - Packt Publishing, Only Price $32 Tag: Learning R for Data Visualization - Packt Publishing Review..

How does Learning R Get?

Get Learning R for Data Visualization - Packt Publishing, Only Price $32 Course Curriculum Introducing Scientific Plotting in R The Course Overview (5:32) Preview of R Plotting Functionalities (3:15) Loading Tables and CSV Files (4:41) Introducing the Dataset (3:21) Loading Excel Files (3:33) Exporting Data (4:18) Scientific Plotting in ggplot2 Creating Histograms (5:01) The Importance of Box Plots (3:44) Plotting Bar Charts (2:43) Plotting Multiple Variables – Scatterplots (3:06) Dealing with Time – Time-series Plots (2:38) Handling Uncertainty (4:15) Customizing Plots Changing Theme (3:07) Changing Colors (3:19) Modifying Axis and Labels (2:40) Adding Supplementary Elements (4:08) Adding Text Inside and Outside of the Plot (5:02) Multi-plots (3:59) Exporting Plots Exporting Plots as Images (3:24) Adjusting the Page Size (2:32)t Interactive Plots in rCharts Getting Started with Interactive Plotting (2:44) Creating Interactive Histograms and Box Plots (4:55) Plotting Interactive Bar Charts (3:12) Creating Interactive Scatterplots (2:58) Developing Interactive Time-series Plots (3:47) Creating a Website with Shiny Getting Started with Shiny (4:09) Creating a Simple Website (4:52) File Input (3:09) Conditional Panels – UI (3:44) Conditional Panels – Servers (5:31) Deploying the Site (5:37) Get Learning R for Data Visualization - Packt Publishing, Only Price $32 Tag: Learning R for Data Visualization - Packt Publishing Review.