In this report, we observe ways to more thoroughly explore the dispersion of language family members with the addition of interactive visualization features. The primary addition is a leaflet plot that allows a user to visually identify where isolates/nonisolates fall on a map AND learn the names of these languages (and their family, if applicable). I chose this setup because it answered questions that I myself had when putting together the static map: which languages are the ones I’m seeing cluster in certain areas? Do I have any previous knowledge about isolates? Additionally, the ability to zoom on the leaflet plot made navigation much easier for smaller regions compared to the static ggplot map. The second interactive component, a DataTable with expanded information for each isolate case, enabled this exploration to go into more depth, as it lists more information per row than the leaflet plot realistically allowed. I chose the datatable specifically to supplement the leaflet plot. The ability to filter by macroarea also allows the user to make more detailed searches compared to just looking around on a map that contains a much larger number of non-isolates.