Shortly after I learned LaTeX I used it to write my resume (or CV if you will), freeing me from the headache of using Microsoft Word and the associated formatting troubles. Even that wasn’t enough though because different audiences needed different information and job listings. I could have stored all the information in the file… Continue reading
I’m speaking in a few places over the next few weeks, so rather than just giving people a day’s notice I figured I should lay it out a bit. Right now I have three public talks lined up with a few more about to solidify. Soon I will update this map to have past talks… Continue reading
Been a busy few weeks with the New York R Conference, speaking engagements, writing the second edition of R for Everyone and coding open source packages. The most exciting news involves the news as the Wall Street Journal wrote an article about my NFL Draft work. It is a great piece with some nice quotes from the… Continue reading
So far this year I have logged many miles in the air and on the rails. In between trips to Minneapolis and Boston I spent about a month traveling through India and Southeast Asia, mainly to conduct R courses in Singapore and Kuala Lumpur for the likes of Intel, Micron, Celcom, Maxis, DBS and other… Continue reading
Mapping Ever Larger Data with PostGIS, DuckDB, GeoArrow and deck.gl at the 2024 R in Government and Public Sector Conference Fifteen Years of Data Science in NY at the 2024 New York R Conference Mapping Large Data at the 2023 R in Government and Public Sector Conference Model Shootout at the 2023 Data, Design, Development… Continue reading
Based on data collected from polls conducted at the beginning of the New York Open Statistical Programming meetups. Related Posts The virtual 2021 R Government & Public Sector Conference is coming December 9th & 10th Analyzing Room Temperature Data Inaugural Government & Public Sector R Conference Brings Together R Community Around Work Done in Government,… Continue reading
For a d3 bar plot visit https://www.jaredlander.com/plots/PizzaPollPlot.html. I finally compiled the data from all the pizza polling I’ve been doing at the New York R meetups. The data are available as json at https://www.jaredlander.com/data/PizzaPollData.php. This is easy enough to plot in R using ggplot2. require(rjson) require(plyr) pizzaJson <- fromJSON(file = “http://jaredlander.com/data/PizzaPollData.php”) pizza <- ldply(pizzaJson, as.data.frame)… Continue reading
Michael Malecki recently shared a link to a Business Insider article that discussed the Monty Hall Problem. The problem starts with three doors, one of which has a car and two of which have a goat. You choose one door at random and then the host reveals one door (not the one you chose) that… Continue reading
With the recent availability (new link) of play-by-play NFL data I got to analyzing my favorite team, the New York Giants with some very hasty EDA. From the above graph you can see that on 1st down Eli preferred to throw to Hakim Nicks and on 2nd and 3rd downs he slightly favored Victor Cruz. The code… Continue reading
This Monday I’ll be talking at the Amsterdam R meetup, better known as amst-R-dam. At their request I’ll discuss the differences between the New York and Silicon Valley data scenes. Time permitting I’ll also go over some topic that I’ll let the audience choose. Related Posts The virtual 2021 R Government & Public Sector Conference… Continue reading
