In a recent post, I wrote that when you’re starting out with data, you need to focus much more on process and technique, not syntax. Beginning students hear this, but it’s easy to ignore and get lost down the rabbit whole of syntax.
The problem is …
For our purposes here, data exploration is the application of data visualization and data manipulation techniques to understand the properties of our dataset.
We’re going to be looking for interesting features: things that stand out, trends, and relationships between variables.
An important principle in analyzing data is “overview first, zoom and filter, then details on demand” (quote: Ben Shneiderman) In practice, this typically means starting at a high level with a single chart, and then “zooming into” the data by replicating that chart for specific subsets of the dataset. And, even more valuable is being … Read more
Last week, I was talking to a guy who’s learning analytics, coaching him on what skills to learn next and helping him plan a career path. He’s a smart guy with an analytical background and minor coding experience, but he’s new to R.
Towards the end of the conversation, I asked him, “what’s the biggest challenge you have right now, learning analytics.”
His response? “The code is intimidating.”
How to create a bubble chart in r using the ggplot2 library. Here we provide code and a tutorial that explains how the code works, step-by-step.