Added by Benjamin Waxer on February 25, 2019 at 12:42am — No Comments
In this 5 Minute Analysis we'll preprocess, map, and explore complicated sales data for liquor stores in Iowa. Then we’ll extract the relevant latitude and longitude from a problematic column of the data and discover the city with the most sales. Next we’ll filter the data to that city and prepare the data for easy loading into Business Analysis tools such as Tableau and PowerBI. Finally…
Added by Benjamin Waxer on February 14, 2019 at 9:32am — No Comments
An Introduction to Bayesian Reasoning
You might be using Bayesian techniques in your data science without knowing it! And if you're not, then it could enhance the power of your analysis. This blog post, part 1 of 2, will demonstrate how Bayesians employ probability distributions to add information when fitting models, and reason about uncertainty of the model's fit.
Grab a coin. How fair is the coin? What is the probability…Continue
Exploring San Francisco police incident data and visualizing the density distribution of incidents involving mentally ill individuals using Pivot Billions and Tableau.…Continue
Added by Benjamin Waxer on February 6, 2019 at 8:06am — No Comments
Combining Pivot Billions with R to dive into whether the holiday spirit inspires bigger tips and which parts of New York experience this effect the most.…
Added by Benjamin Waxer on January 14, 2019 at 7:04am — No Comments
Today I've just faced one challenge...
I work on one project, and we need to decide which assets from this company will be visited initially.
As every project, we have limited budget, so we should find some variables to indicate a priority scale.
After some discussion, someone said: let's find the assets close to schools and hospitals. Those must be inspected firstly than others.
Everybody agreed with the voice, but how would be possible to map every school and…
Original post is published at DataScience+
Recently, I become interested to grasp the data from webpages, such as Wikipedia, and to visualize it with R. As I did in my previous post, I use
rvest package to get the data from webpage and…
Added by Klodian on August 5, 2016 at 10:30pm — No Comments
An open-source exploration of the city's neighborhoods, nightlife, airport traffic, and more, through the lens of publicly available taxi and Uber data.
Images are clickable to open hi-res versions.
Added by Denis Rasulev on November 20, 2015 at 9:20pm — No Comments