For this data visualization project, I focused on how Twitter trends shifted throughout the past month in the United States. I started by creating a data table that listed a sample of 50 top trends per day from mid-April to mid-May 2019 in the USA. Then, I categorized each trend by topic, deleted the original listings, and tried to modify the visuals in an appealing way. I am happy with how clean the visuals look and I think the project shows how trends related to sports, entertainment, and politics shifted over time. The data analysis part of the project took much longer than expected, but I think I could push it further by identifying how specific top trends changed over time.