As a data analyst you want to provide clear cut insights for your end users, enabling them to extract all the business value provided by your solution. If your end user is data and analytical savvy then explaining results might be a piece of cake. Unfortunately not all stakeholders are ...

We were recently presented with a problem where the decision maker wanted to understand how their data would naturally group together. The classic technique of k-means clustering was a natural choice; it’s well known, computationally efficient, and implemented in base R via the kmeans() function. Our problem has a ...

rOpenSci’s community is increasingly international and multilingual. While we have operated primarily in English, we now receive submissions of packages from authors whose primary language is not. As we expand our community in thi...

TL;DR ???? This post provides an overview of R functions for dealing with survey data labels, particularly ones that I wish I’d known when I first started out analysing survey data in R (primarily stored in SPSS data files). Some of these functions come from surveytoolbox, a package I’...

I am going to use regression, decision trees, and the random forest algorithm to predict combined miles per gallon for all 2019 motor vehicles.  The raw data is located on the EPA government siteAfter preliminary diagnostics, exploration and cleaning I am going to start with a multiple linear regression model.The ...

A walk through how networks are visualized at STATWORX using the package visNetwork. Der Beitrag Interactive Network Visualization with R erschien zuerst auf STATWORX.

I’ve been a spreadsheet power user from the days of Visicalc for the Apple ][. I migrated to Lotus 1-2-3, to Borland Quattro and finally to Excel. With Excel, I’ve bludgeoned Visual Basic to create some pretty complicated dashboards and analytics. ...

I have recently been confronted to a kind of data set and problem that I was not even aware existed: intermittent demand data. Intermittent demand arises when the demand for a certain good arrives sporadically. Let’s take a look at an example, by a...

Software is maintained by people. While software can in theory live on indefinitely, to do so requires people. People change jobs, move locations, retire, and unfortunately die sometimes. When a software maintainer can no longer maintain a package, what happens to the software? Because of the fragility of people in ...

I had another lazy weekend go at code golf, trying to code in the most condensed way the following task. Provided with a square matrix A of positive integers, keep iterating the steps take the highest square ????² in A. find the smallest adjacent neighbour ???? replace x² with x and n ...

This morning, @kairyssdal tweeted out the following graphic from @axios: Confusing, but interesting. Data shows we're a nation of news consumption hypocrites – Axios https://t.co/O0lPSc4OV3 — Kai Ryssdal (@kairyssdal) June 11, 2019 If you’re doing the right thing and blocking evil social media javascript you can find the ...

At Appsilon we thrive on supporting the open source community with open source packages. As we have already mentioned at various R conferences, the typical cycle of our work is: identification of a repeating programming problem, solving it, wrapping it into a package, testing internally and once we decide it’...

Learn how to use R functions, including how to use built-in generic functions, how to use vectorization, and how to write your own custom functions. The post R Functions Tutorial: Writing, Scoping, Vectorizing, and More! appeared first on Dataquest.