Download, analyze, and visualize Reddit threads based on a keyword. Clean the text data and then tokenize it, generate a word cloud that illustrates the frequency of words except the keyword, conduct a tri-gram analysis, and perform a sentiment analysis.

Utilize OSM, GSV, and computer vision to gain insights about what built environmental characteristics create walkable neighborhoods.

A regional transit agency is interested in assessing how long it takes for people in different parts of Atlanta who park-n-ride to travel from their home to the major employment center (e.g., Midtown) and understanding if there is any disparities across neighborhoods. Perform this calculation of travel time using data from OSM, GTFS, and Census.

Research Question Is there really such relationships between the attractiveness of POIs in a neighborhood and being advantaged as a neighborhood? Which neighborhood characteristic has the strongest relationship with the attractiveness of POIs? This assignment aims to examine the relationship between being advantaged as a neighborhood and having more attractive POIs using ggplot package.

Use the Fatal Encounters database to tell a story about police involved killings in the United States.

Scenrio: A bicycle enthusiast wants to set up a bicycle rental store in a place within the City of Atlanta. Where should this store be located? Use Yelp API (categories: bikerentals) and census data showing how many commuters commute on a bike.

Tidying data from Yelp API and Census API.

# Census Tract and Yelp API data mini-project For mini-assignment 1, I requested some business data from two different Yelp business categories, using tidycensus for Census tract polygons.