🍂 A Repository for Penn GIS Day 2016
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README.md

Penn GIS Day 2016

Installation

New to R?

Start here:

Slides

Relevant Links

Free Books

Code

Examples you can run on your own computer:

# Install the packages you need and load them
install.packages("shiny")
install.packages("shinydashboard")
install.packages("dplyr")
install.packages("leaflet")
install.packages("ggplot2")
install.packages("lubridate")

library(shiny)

# App 1
runGitHub("DataScienceSpecialization/Developing_Data_Products", subdir = "Shiny_Part_1/app1/")

# App 2
runGitHub("DataScienceSpecialization/Developing_Data_Products", subdir = "Shiny_Part_1/app2/")

# App 3
runGitHub("DataScienceSpecialization/Developing_Data_Products", subdir = "Shiny_Part_1/app3/")

# App 4
runGitHub("DataScienceSpecialization/Developing_Data_Products", subdir = "Shiny_Part_1/app4/")

# App 5
runGitHub("DataScienceSpecialization/Developing_Data_Products", subdir = "Shiny_Part_2/app1/")

# App 6
runGitHub("DataScienceSpecialization/Developing_Data_Products", subdir = "Shiny_Part_2/app2/")

# App 7
runGitHub("DataScienceSpecialization/Developing_Data_Products", subdir = "Shiny_Part_2/app3/")

# App 8
runGitHub("DataScienceSpecialization/Developing_Data_Products", subdir = "Shiny_Part_2/app4/")

# Shiny & Leaflet Demo
runGitHub("seankross/gisday")

# Baltimore Crime Browser
runGitHub("seankross/Baltimore_Crime_Browser")

R Packages for GIS

Links to Code for Apps