[Read more...]

[Read more...]

Descriptive Analytics is the examination of data or content, usually manually performed, to answer the question “What happened?”. In order to be able to solve this set of exercises you should have solved the part 0, part 1, part 2,part 3, and part 4 of this series but also you should run this script ... [Read more...]

[Read more...]

What happens when you combine Pokemon with Neo4j? I’m a huge Pokemon fan. So, when I found about this awesome post from Joshua Kunst, I just couldn’t wait to throw all that data into Neo4j. It also happens to be a great way to learn how ... [Read more...]

[Read more...]

[Read more...]

When blogging about statistics and R, it is very useful to differentiate the body text to R code. I used to manage this issue by highlighting the code and pretty-R was a valuable instrument from Revolutions Analytics to accomplish this. However, as you... [Read more...]

When modeling any phenomena by including explanatory variables that highly relates the variable of interest, one question arises: which of the auxiliary variables have a higher influence on the response? I am not writing about significance testing or s... [Read more...]

A few months ago we launched R course finder, an online directory that helps you to find the right R course quickly. With so many R courses available online, we thought it was a good idea to offer a tool that helps people to compare these courses, before they decide ... [Read more...]

The ASA (American Statistical Association) has been working in collaboration with the ACM (Association for Computing Machinery) on developing a data science curriculum for Two Year Colleges. Part of this development is the need to understand the private-sector demand for two-year college data science graduates and the prevalence of the ... [Read more...]

[Read more...]

[Read more...]

[Read more...]

[Read more...]

I will continue in describing forecast methods, which are suitable to seasonal (or multi-seasonal) time series. In the previous post smart meter data of electricity consumption were introduced and a forecast method using similar day approach was proposed. ARIMA and exponential smoothing (common methods of time series analysis) were used ... [Read more...]

Few people expect politicians to write every word they utter themselves; reliance on speechwriters and spokepersons is a long-established political practice. Still, it's interesting to know which statements are truly the politician's own words, and which are driven primarily by advisors or influencers. Recently, David Robinson established a way of ... [Read more...]

[Read more...]

[Read more...]

by Joseph Rickert If you are aspiring to write good R code, you may find it helpful to occasionally spend some time reading about writing: reading about writing R code, and reading about writing about R code that you’ve written. (If you write some excellent R code, you will ... [Read more...]