Code repository

Practical Statistics for Data Scientists:

50+ Essential Concepts Using R and Python

by Peter Bruce, Andrew Bruce, and Peter Gedeck

• Publisher: O'Reilly Media; 2 edition (June 9, 2020)
• ISBN-13: 978-1492072942
• Buy on Amazon
• Errata: http://oreilly.com/catalog/errata.csp?isbn=9781492072942

Online

View the notebooks online:

Excecute the notebooks in Binder:

This can take some time if the binder environment needs to be rebuilt.

R

Run the following commands in R to install all required packages

if (!require(vioplot)) install.packages('vioplot')
if (!require(corrplot)) install.packages('corrplot')
if (!require(gmodels)) install.packages('gmodels')
if (!require(matrixStats)) install.packages('matrixStats')

if (!require(lmPerm)) install.packages('lmPerm')
if (!require(pwr)) install.packages('pwr')

if (!require(FNN)) install.packages('FNN')
if (!require(klaR)) install.packages('klaR')
if (!require(DMwR)) install.packages('DMwR')

if (!require(xgboost)) install.packages('xgboost')

if (!require(ellipse)) install.packages('ellipse')
if (!require(mclust)) install.packages('mclust')
if (!require(ca)) install.packages('ca')

Python

We recommend to use a conda environment to run the Python code.

conda create -n sfds python
conda activate sfds
conda env update -n sfds -f environment.yml

See also

• O'Reilly: https://oreil.ly/practicalStats_dataSci_2e
• Errata: http://oreilly.com/catalog/errata.csp?isbn=9781492072942
• The code repository for the first edition is at: https://github.com/andrewgbruce/statistics-for-data-scientists