As most of the data on the
web or residing in a database is not structured in the right way, the
course will assist viewers in developing skills to manipulate,
transform, and evaluate raw input data. Through the concept of tidy data
and visualization tools, viewers will be able to analyze trends and
study the financial markets.
Once users have developed a
good understanding of financial markets and financial data, the next
three sections (3, 4, and 5) will introduces users to the concepts of
basic statistics, time series analysis, and forecasting. Viewers will
use a variety of basic R functions and forecast package to understand
statistics and perform time series analysis.
By the end of this volume
users will be able to use R, learn the use of Shiny apps, understand the
concept of tidy data, and generate R markdown files for sharing
information.
About The Author
Atmajitsinh Gohil works as a senior consultant at a
consultancy firm in New York City. After graduating, he worked in the
financial industry as a Fixed Income Analyst. He writes about data
manipulation, data exploration, visualization, and basic R plotting
functions on his blog at
http://datavisualizationineconomics.blogspot.com.
He has a master's degree in financial economics from the State
University of New York (SUNY), Buffalo. He also graduated with a master
of arts degree in economics from University of Pune, India. He loves to
read blogs on data visualization and loves to go out on hikes in his
free time.
