Los Angeles, California
"Bad actors", Hollywood style.
"Rat Pack", "Dirty Rats" and "Rug Rats" were imortalized by Hollywood in music and film, so it seemed appropriate to use Los Angeles, California as the subject city for analyzing rodent restaurant violations.
This project combines restaurant reviews data from Yelp and health code violations from the Open Data program to map, visualize and compile statistical analysis in an effort to identify who the "Bad Actors" are in Los Angeles, California eateries.
Data sources are available on GitHub. Links are in the about page.
This interactive allows the user to identify the "bad actor" restaurants and filter by name, neighborhood, cosine, Yelp rating and of most importance: violation type
Are neighborhoods with behavioral and health risk factors such a marijuana use, poor nutrition and alcohol abuse more likely to have high violation count establishments?
Los Angeles LOVES Mexican food! It outstrips every other category in terms of popularity and establishments run the gamut from Taco Trucks to Haute Cuisine. No matter the location, it rates as a low violation food category and in the vast majority of cases carries top notch safety ratings.
From sniffing out data, munging, merging and analyzing there are always fun moments and more than a few marathon coding sessions from the "nest" for this "pack" of "data rats".
Our "Girl from Ipanema" has scoured and analyzed data from three continents after living in Brazil, USA and Australia. Having atained "bi-hemispherical" status, she does statistical analysis from whichever Pole she is closest to.
Every data crew needs a math wiz and if you don't find Julie with her abacus and sliderule, she's probably deep in a "random forest" with her "nearest neighbor".
Told that she was a detective in a past life, Sheri reincarnated in in this one with visualizations as her magnifying glass, Python as her sidekick and shoots straight from the hip with analysis instead of a gun.