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  1. Introduction to Statistics: an integrated textbook and workbook using R

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  2. This repo contains code for reproducing the figures from Chapter 2 ("Programming with Data") of the book Data Science for Mathematicians (ed. Nathan Carter).

    Jupyter Notebook 1

  3. Material for teaching Bayesian data analysis

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  4. Created for the Salt Lake City R Users Group (November 14, 2018)

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  5. Created for the Big Mountain Dev and Data Conference, November 10-11, 2017, Salt Lake City, UT

  6. This document describes the types of graphs and charts that are appropriate for different combinations of variables. (This forms part of the QUARC data visualization workshop.)

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April 2021

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March 2021

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