Join Bill Shander for an in-depth discussion in this video Tools, part of Data Visualization for Data Analysts.
- You're a data analyst. You have your tools.…You're probably working in SPSS or STATA or R or whatever.…You're working in tools that are built for your data, right?…But you may or may not be working in tools…built to make beautiful and simple…graphic displays of that data.…In this movie, I'm gonna talk briefly about tools…and how to use them and think about them…as well as to try to introduce you to some tools…and functionality that you may or may not be aware of.…First, let's talk about the standbys…that you're likely using.…Whether you're in Excel, STATA, SPSS, or another tool,…you can and probably already do generate…your own charts and graphs.…
This is what you do all day long, right?…Okay. But here's the thing, all of those tools, by default,…don't follow the rules I'm laying out for how to design…effective charts and graphs.…The default colors tend to be overwhelming.…The axis are over-emphasized, etc.…However, in most, if not all of these tools,…you can format your charts to do what I'm suggesting.…And some of these tools have the ability to load in…
- Identify the four levels of content in the 4x4 model.
- Understand why “story” is a critical element in any data visualization.
- Explain three ways in which designers often go wrong when creating a headline.
- Recall the meaning and purpose of KWYRWTS.
- Recognize three strategies for making effective text-based slides.
- Remember three strategies for making effective charts.