This assignment focuses on visualizing textual and qualitative data by analyzing the State of the Union addresses from 1790 to 2023. Using D3.js and RiTa.js, I examined word usage, specifically recurring nouns in the speeches. By counting the frequency of these nouns, I aimed to provide an overview of the main topics discussed in the addresses and compare trends over the years through line charts.
I also explored how certain words have evolved in usage over time, highlighting the connections between specific terms and their frequency across different periods. To emphasize the most frequently used words, I applied a variable font, where the weight of the text increases in proportion to word frequency, making it easy to see which topics dominated the discourse.