June 2017

Google Sites for Documentation

June 1, 2017 | Steven M. Mortimer

The WYSIWYG Access Control Permissions Embedded Google Docs, Sheets, etc. Built In Google Search and Analytics Final Thoughts The title of this post is probably off-putting to a large number of people. Why on earth would I use Google Site... [Read more...]

Calculate Inflation with the blscrapeR Package

June 1, 2017 | - r

The Consumer Price Index (CPI) is the main standard for tracking the inflation of the U.S. dollar. The various CPI measures are published monthly by the Bureau of Labor Statistics. For this walk-through, we will be using the blcsrapeR package to downl... [Read more...]

Python and R top 2017 KDnuggets rankings

June 1, 2017 | David Smith

The results of KDnuggets' 18th annual poll of data science software usage are in, and for the first time in three years Python has edged out R as the most popular software. While R increased its share of usage from 45.7% in last year's poll to 52.1% this year, Python's usage among ... [Read more...]

Canada Labour Market: Future Perspectives

June 1, 2017 | Lauro Silva

For anyone looking for job opportunities, it is nice to have an idea how the job market will perform in the future for your chosen career or industry. Many countries have open data sets that offer this kind of data. In these exercises we will use R to analyze the ... [Read more...]

In defense of wrapr::let()

June 1, 2017 | John Mount

Saw this the other day: In defense of wrapr::let() (originally part of replyr, and still re-exported by that package) I would say: let() was deliberately designed for a single real-world use case: working with data when you don’t know the column names when you are writing the code (...
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A Primer in functional Programming in R (part -2)

June 1, 2017 | Biswarup Ghosh

In the last exercise, We have seen how powerful functional programming principles can be and how it can drammatically increase the readablity of the code and how easily you can work with them .In this set of exercises we will look at functional programming principles with purrr.Purrr comes with ... [Read more...]

A tidy model pipeline with twidlr and broom

June 1, 2017 | Simon Jackson

@drsimonj here to show you how to go from data in a data.frame to a tidy data.frame of model output by combining twidlr and broom in a single, tidy model pipeline.  The problem Different model functions take different types of inputs (data.frames, matrices, etc) and produce different ...
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