Have you ever liked a TV show so much that simply watching it wasn’t enough anymore? Read on to discover how I used R to analyze South Park dialog and ratings!
Python is a programming language frequently used by scientists and data analysts to build applications. Why? Because it’s easy to use and has few rules. But simply installing Python isn’t enough—you also need a good interactive development environment (IDE) to program in. So what are the best Python IDEs for data science? Let’s find out!
How much SQL do you know? Test your knowledge with this spooky crossword to find out!
Heat maps are a great way to visualize patterns in data, but some businesses avoid them because creating them seems challenging and time consuming. Well, it’s not.
Share a pic of your DIY jack-o'-lantern or halloween costume to win a spooky prize.
Visualizing data using mediums like graphs, charts, and diagrams allows businesses to make better sense of the massive amounts of information they receive. Rather than disseminating sheets of data in number form, visual depictions allow you to more quickly and intuitively convey ideas and concepts to your team.