Pro Data Visualization using R and
JavaScript makes the R language approachable, and
promotes the idea of data gathering and analysis. You'll
see how to use R 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.
What you’ll learn
- A rich understanding of how to gather, and
analyze empirical data
- How to tell a story with data using data
visualizations
- What types of data visualizations are best to use
for the story that you want to tell with your data
- A comprehensive introduction to the R language,
covering all the essentials
- Exploration of how to construct interactive data
visualizations using JavaScript and JavaScript
libraries
Who this book is for
Developers at all
levels interested in data visualization, beginning
to intermediate engineering managers, statisticians,
mathematicians, economists and any others interested in
data visualization.
Table of Contents
- Techniques for Data Visualization
- The R Language
- A Deeper Dive into R
- Data Visualization with D3
- Visualizing Spatial Information from Access Logs
(Data Maps)
- Visualizing Defects over Time (Time Series)
- Bar Charts
- Correlation Analysis with Team Dynamics
(Scatterplot and Bubble Chart)
- Balancing Delivery with Quality (Parallel
Coordinates Chart)
