After learning about Voyant through Temple Digital Scholars I decided to use it to obtain a wordcloud view of the most frequently occuring words in some of my interview data. However, this effort backfired as conversational language includes a lot of "um", "yeah", and "ya know." Is there a better way to represent interview data visually? Can you eliminate these fillers when you analyze text using Voyant? To gain some insight about the program I am studying I took the text on the homepage of their website (deleted any identifiers) and produced a cirrcus. The most frequent words are: classroom, deed, need, read, and students. This is a more academic approach to branding their organization than I expected and something to consider as I continue my research.