Purpose: Utilize NCHS and CDC data to visualize the top 10 causes of death in the US over time
Description: This collaborative app utilizes Flask and Heroku for production environments, JavaScript D3 libraries, and JSON/GeoJSON calls to build interactive and informative information about the dataset
Purpose: Display U.S. Census Bureau data and Behavioral Risk Factors to show correlations between leading indicators.
Description: This D3-based visual reads in a CSV and creates an interactive chart. By clicking on axis labels, the chart will render the corresponding data
Purpose: Display updated and real-time information about Earthquakes across the world
Description: The map displays dots of earthquakes sized by magnitude around the world. The information is updated every 15 minutes on the USGS GeoJSON Feed page. Additionally, tectonic plate fault lines are displayed to give deeper meaning.
Purpose: Deploy an interactive dashboard that updates in realtime using Flask and Heroku
Description: This app takes in a silly dataset and creates JSON routes based on the user selection. Upon doing so, it renders several graphs with the information from the selection.
Purpose: A collaborative project that analyzes the sentiment of lyrics from Billboard Top 100 songs since the 1960s
Description: The code uses Python libraries to make API calls to MusixMatch and Billboard to gather top songs and corresponding lyrics. VaderSentiment is used to analye the lyrics.
Purpose: Automate Google Chrome to retrieve and combine information from various websites.
Description: This example uses Splinter Chromedriver to gather unstructured data about Mars, stores the information in MongoDB, and builds a webpage with the results.