List of references used in the Tips dataset project.

References

• Experimental Design and Analysis by Howard J. Seltman[1]

• Wikipedia: Exploratory Data Analysis

• John Tukey[2]

• Tidy Data by Hadley Wickham[3]

• Bryant, P. G. and Smith, M (1995) Practical Data Analysis: Case Studies in Business Statistics. Homewood, IL: Richard D. Irwin Publishing[4]

• Wikipedia: Regression analysis

• Wikipedia: Correlation

• chapter 9 of Experiment Design and Analysis by Howard J Seltman: Simple Linear Regression[5]

• Wikipedia: Correlation[6]

• hacker earth blog post on regression analysis[7]

• Case Study I: Restaurant Tipping by Di Cook[9]

• OLS regression assumptions[11]

• drawing from data

• Rdatasets website

• Vincent Arel-Bundock

• tips dataset on Michael Waskon GitHub

• The R Datasets

• https://www.statisticshowto.datasciencecentral.com/lowess-smoothing/

• http://onlinestatbook.com/2/index.html

• python.org

• Python for Data Analysis - Chapter 4 NumPy Basics: Arrays and Vectorised Computation by Wes McKinney

• Python Data Science Handbook by Jake VanderPlas

• Jake VanderPlas Website

• Project Jupyter

• seaborn.pydata.org

• seaborn

• ipython magic commands

• GitHub Flavoured Markdown

• GitHub guides - Mastering Markdown

• Jupyter Notebook documentation

• Jupyter Notebook Tips, Tricks, and Shortcuts

• LaTeX equations in Jupyter

• LaTeX wiki

• Jupyter logo. Cameron Oelsen [BSD (http://opensource.org/licenses/bsd-license.php)]