Carson Farmer

Carson Farmer has contributed to the materials listed below.

Course Lessons

Course lessons are developed as a part of a course curriculum. They teach specific learning objectives associated with data and scientific programming. Carson Farmer has contributed to the following lessons:

Use tidytext to text mine social media - twitter data using the twitter API from rtweet in R

This lesson provides an example of modularizing code in R.

Get twitter data using the twitter API from rtweet in R

This lesson provides an example of modularizing code in R.

Creating interactive spatial maps in R using leaflet

This lesson covers the basics of creating an interactive map using the leaflet API in R. We will import data from the Colorado Information warehouse using the SODA RESTful API and then create an interactive map that can be published to an HTML formatted file using knitr and rmarkdown.

Programmatically accessing geospatial data using API's - Working with and mapping JSON data from the Colorado Information Warehouse in R

This lesson walks through the process of retrieving and manipulating surface water data housed in the Colorado Information Warehouse. These data are stored in JSON format with spatial x, y information that support mapping.

Programmatically access data using an API in R - The Colorado Information Warehouse

This lesson covers accessing data via the Colorado Information Warehouse SODA API in R.

Access secure data connections using the RCurl R package.

This lesson reviews how to use functions within the RCurl package to access data on a secure (https) server in R.

An example of creating modular code in R - Efficient scientific programming

This lesson provides an example of modularizing code in R.

Introduction to APIs

In this module, we introduce various ways to access, download and work with data programmatically. These methods include downloading text files directly from a website onto your computer and into R, reading in data stored in text format from a website, into a data.frame in R and finally, accessing subsets of particular data using REST API calls in R.

Data tutorials

Nothing to list here yet!