In This Chapter
Getting creative with free R packages for data visualization
Using open-source tools for scraping, collecting, and handling your data
Analyzing your data with free open source tools
Having fun with visualizations in other open-source applications
Visualizations are a vitally important part of the data scientist’s toolkit. With them, you can leverage the brain’s capacity to quickly absorb visual information. Because data visualizations are a very effective means of communicating data insights, many tool and application developers work hard to ensure that the platforms they design are simple enough for even beginners to use. An application that is simple enough to be useful to a beginner can sometimes be useful to more advanced data scientists, but other times data science experts simply need more technical tools to help them delve deeper into datasets.
In this chapter, I present ten free web-based applications that you can use to do more advanced data science tasks. You ...