ccoplai

Cal Coplai's starred repositories

dataviz

A book covering the fundamentals of data visualization

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osrm

Interface between R and the OpenStreetMap-based routing service OSRM

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ppde642

USC urban data science course series with Python and Jupyter

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hex-binning-gis-data

Using R's hexbin package to bin spatial data with a Z variable.

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AutonomousDrivingCookbook

Scenarios, tutorials and demos for Autonomous Driving

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CoAXs

An interactive transit corridor “modifier/builder,” available as a web based tool and intended for use as an interactive, browser-based tool presented in an interactive transit exhibit.

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modeify

Deliver personalized commute information to travelers.

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twittersauce

Some sample code that uses Python and R to analyze twitter data.

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twitter_ideology

Estimating Ideological Positions with Twitter Data

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instaR

Dev version of instaR package: Access to Instagram API via R

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Rfacebook

Dev version of Rfacebook package: Access to Facebook API via R

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Code to create the map tiles used in my visualization Where Are The Jobs? www.robertmanduca.com/projects/jobs.html. Heavily based on the code used in making the Racial Dot Map at https://github.com/unorthodox123/RacialDotMap

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whosonfirst-data

Who's On First is a gazetteer of places.

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job-growth-affordability

Analyze job growth and housing affordability in the San Francisco Bay Area using publicly available data sources.

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dot-density-map

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public-transit-tools

Tools for working with GTFS public transit data in ArcGIS

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skills-api

Skills API

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tidycensus

Load US Census boundary and attribute data as 'tidyverse' and 'sf'-ready data frames in R

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doppelganger

A Python package of tools to support population synthesizers

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restaurant_closings

determining_restaurants_closed_LA

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yelp-fusion

Yelp Fusion API

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food-inspections-evaluation

This repository contains the code to generate predictions of critical violations at food establishments in Chicago. It also contains the results of an evaluation of the effectiveness of those predictions.

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kpi_scripts

Scripts to calculate quarterly performance indicators for individual departments