{"id":22667,"date":"2021-03-15T17:33:06","date_gmt":"2021-03-15T21:33:06","guid":{"rendered":"http:\/\/studentwork.prattsi.org\/infovis\/?p=22667"},"modified":"2021-04-15T23:15:30","modified_gmt":"2021-04-16T03:15:30","slug":"trash-pandamonium-discord-and-distemper-in-nyc-parks","status":"publish","type":"post","link":"https:\/\/studentwork.prattsi.org\/infovis\/visualization\/trash-pandamonium-discord-and-distemper-in-nyc-parks\/","title":{"rendered":"Trash Pandamonium: Discord and Distemper in NYC Parks"},"content":{"rendered":"\n

This week, I\u2019m using a tool called Tableau<\/a> to tell a story through data visualization. <\/p>\n\n\n\n

\"A<\/figure>\n\n\n\n

While browsing New York City Open Data for a dataset to explore, one in particular stood out to me, titled Urban Park Ranger Animal Condition Response<\/a>. It held data on animal assistance calls in parks citywide that the Urban Park Rangers<\/a> responded to between May 2018 and June 2019. My affinity for animals and the natural environment made this a particularly interesting topic for me. I went into this without knowing what questions I would ask\u2014I hoped that as I familiarized myself with the data, a story would emerge from its patterns. <\/p>\n\n\n\n

I looked to visualizations from the New York City 2015 Street Tree Census<\/a> for inspiration for this project. Like the Animal Condition Response dataset, the Street Tree Census includes location data for the 5 boroughs and collects qualitative data on species and health. The resulting visualizations are simple and accessible, using basic color palettes and stacked bar graphs to illustrate census findings. Users may filter results by borough for a localized scope and access tooltips by hovering over different areas of each chart.<\/p>\n\n\n\n