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:

Get and Work With Twitter Data in Python Using Tweepy

You can use the Twitter RESTful API to access tweet data from Twitter. Learn how to use tweepy to download and work with twitter social media data in Python.

Programmatically Accessing Geospatial Data Using APIs

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.

Introduction to APIs

In this module, you learn 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 Python, reading in data stored in text format from a website into a DataFrame in Python, and finally, accessing subsets of particular data using REST API calls in Python.

Interactive Maps in Python

This lesson covers creating interactive maps with Python in Jupyter Notebook.

Sentiment Analysis of Colorado Flood Tweets in R

Learn how to perform a basic sentiment analysis using the tidytext package in R.

Create Maps of Social Media Twitter Tweet Locations Over Time in R

This lesson provides an example of modularizing code in R.

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.

Text Mining Twitter Data With TidyText in R

Text mining is used to extract useful information from text - such as Tweets. Learn how to use the Tidytext package in R to analyze twitter data.

Twitter Data in R Using Rtweet: Analyze and Download Twitter Data

You can use the Twitter RESTful API to access data about Twitter users and tweets. Learn how to use rtweet to download and analyze twitter social media data 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, you learn 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.

Extract raster values using vector boundaries in Python

This lesson reviews how to extract data from a raster dataset using a vector dataset.

Extract Raster Values At Point Locations in Python

This lesson reviews how to extract data from a raster dataset using a vector dataset.

Data tutorials

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