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Avoiding Data Pitfalls : How to Steer Clear of Common Blunders When…
Avoiding Data Pitfalls : How to Steer Clear of Common Blunders When Working with Data and Presenting Analysis and Visualizations (Ben Jones)
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2B: Bad Blends and Joins
Investigate the input and output of every join, blend, and union.
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4.Statistical Slipups
4A: Statistical Slipups
Consider distributions when communicating mean, median, or mode.
4B: Inferential Infernos
When inferring about populations, verify statistical significance.
4C: Slippery Sampling
Make sure samples are random, unbiased, and, if necessary, stratified.
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5D: Funky Forecasts
Think about how you’re forecasting values, and whether that’s valid.
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- Biased Baseline: Who has a voice in data
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