questions

16 posts
✚ Nonsense

Welcome to issue #207 of The Process, where we look closer at how the charts get made. I’m Nathan Yau, and while munging, analyzing, and visualizing, I always want to know if what I’m seeing makes sense. If you just always assume the data is right, you’ll probably finish with garbage. Become a member for access to this — plus tutorials, courses, and guides.

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✚ Three Questions to Visualize Data Effectively

Welcome to issue #191 of The Process, the newsletter for FlowingData members that looks closer at how the charts get made. I’m Nathan Yau, and this week I’m thinking about the three questions you should ask yourself to make effective charts during the design process, in all contexts of charty goodness. Become a member for access to this — plus tutorials, courses, and guides.

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✚ Double Check Twice, Edit Once – The Process 182

Welcome to issue #182 of The Process, the newsletter for FlowingData members that looks closer at how the charts get made. I’m Nathan Yau, and this week I was planning on walking through my process on how I make a straightforward bar chart, but then I made a dumb mistake, so now I’m gonna talk about that. Become a member for access to this — plus tutorials, courses, and guides.

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Seeing just the questions

As a way to explore how people use questions in their writing, a straightforward tool by Clive Thompson lets you see all the questions in a body of text. Just copy and paste and you’re set. The above are the questions from George Orwell’s essay “Politics and the English Language”. Try it out here. See also Thompson’s related tool that shows only the punctuation. Tags: Clive Thompson, questions, writing

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Statistician answers stat questions

For Wired, stat professor Jeffrey Rosenthal answered statistics questions from Twitter, such as how likely it is you win the lottery, why election polls seem wrong all the time, and how statistical testing works. This was an entertaining and educational 16 minutes. Tags: Jeffrey Rosenthal, questions, Wired

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✚ I Want to Visualize Aspects of the Data – The Process 162

Welcome to issue #162 of The Process, the newsletter for FlowingData members that looks closer at how the charts get made. I’m Nathan Yau, and this week I’m less interested in the data and more interested in aspects of it. Become a member for access to this — plus tutorials, courses, and guides.

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Visualizing time-based data

Zan Armstrong, Ian Johnson, and Mike Freeman for Observable wrote a guide on analyzing time series data. Using an energy dataset, they show how asking different questions can lead to different findings and visualizations: These are stories about analyzing data that changes over time. While most of us don’t dig into data about energy day-to-day, we hope the feel of this data and these questions will be familiar to anyone...

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✚ Different Points of View from the Same Data – The Process 153

Welcome to issue #153 of The Process, the newsletter for FlowingData members on how the charts get made. I’m Nathan Yau, and this week I was observing different points of view from the same data. It still amazes me that you can give multiple people the same dataset and the results can vary depending on questions, goals, and audience. Become a member for access to this — plus tutorials, courses,...

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✚ Analyzing Data, General to More Specific – The Process 148

Welcome to issue #148 of The Process, the newsletter for FlowingData members about how the charts get made. I’m Nathan Yau, and this week I’m remembering to start an analysis with the basics — to get over the initial hump — and then generate questions towards more specific answers. Become a member for access to this — plus tutorials, courses, and guides.

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✚ The Process 103 – End Result

Last month I did a short Q&A about FD and my workflow. I thought I'd elaborate on one of my answers. Read More

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