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This short free book provides a concise introduction to data analysis meant to address common problems faced by graduate students in engineering and science.
License: Creative Commons Attribution 4.0 International
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Need to describe so that people who just get book can find it.
So far (ec452eb ) all the examples are based on R. Would be helpful to show how the same things could be done in spreadsheets.
Thinking about cases where users assume a script will work because they (human) are able to do grouping etc.
For example ethanol emission, e.g., what does the model show in the end? Relate it to original questions.
Silage ethanol example would work well here.
For example, normalization and covariates as way to deal with some sources of error.
Include warning and demo about over-fitting
And how causation really only comes from experimental data sets. In some cases the direction of an effect isn't clear, and it does not always matter.