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Example solution of analysis how SAT scores are dependent on Education expenditure. Model is built using linear regression. It explains 82% of variance in SAT scores.

Data preprocessing is the first step in a data modeling assignment. Learn the best practices following the solution to an example assignment. Topics covered: reading file, dealing with missing values, various plots, analyzing relations and distributions of the data.

Logistic Regression in R: Exercises and Solutions

Factor Analysis, Clustering, Hypothesis Testing, Linear Regression: Exercises and Solutions in R.

The following exercises and solutions are from the book “Introduction to scientific programming and simulation using R” by O. Jones, R. Maillardet and A. Robinson (2009).

Some introductory examples of reading csv, dealing with missing values, plotting histograms and a box plot.

This Excel task is really addicting and you definitely cannot go to sleep without finishing it - because you are an Excel Pro, right? :)

For a given data set X, predict its density function. Using the found density function generate new random data set Y and check the hypothesis that X and Y distributions are identical.

Quick bottom-up explanation of kernel density estimation with simple Python code. Get idea of what it's made of in a short 5 min read.

Sometimes there is a need for using Pivot table to display data as a categorical table. This is a bit complicated, but working way to do it.

We begin our plot series with a plot of Apple (AAPL) weekly stock prices for 2015 using simple Base R, no ggplot, no ggplot2.

Generate a nice boxplot using Base R and a standard Iris dataset.