Mastering Data Analysis with R

Besides GET requests, you can easily interact with RESTful API endpoints via POST, DELETE, or PUT requests as well by using the postForm function from the RCurl package or the httpDELETE, httpPUT, or httpHEAD functions— see details about the httr package later.

HTTPS is not a separate protocol alongside HTTP, but instead HTTP over an encrypted SSL/TLS connection.

it is also said, that around 80 percent of data analysis is spent cleaning data.

Loading Excel spreadsheets

R provides multiple ways to query data from a MySQL database. One option is to use the RMySQL package, which might be a bit tricky for some users to install.

VirtualBox can be installed by your operating system's package manager on Linux or by downloading the installation binary/sources from https://www.virtualbox.org/wiki/Downloads. For detailed and operating-system specific installation information, please refer to the Chapter 2, Installation details of the manual: http://www.virtualbox.org/manual/.

So, besides R, it's really worth knowing your way around RDBMS, which are extremely common in any industry you may be working at as a data analyst or in a similar position.

Data files larger than the physical memory

Downloading the example code