Enhancing Civics Data with Elasticsearch, pandas and Eland
Many cities in the United States provide data as a part of the oversight initiatives and federal compliance. However, datasets often present information in incomplete or hard-to-compare formats.
This talk will break down how to compile data from the San Diego Police Department into pandas dataframes and use geopandas, eland, and Elasticsearch to enrich the data with approximate GeoPoints so that it can be visualized in Kibana or a public plotting platform
About Jay Miller
Jay is a Developer Advocate at Elastic, based in San Diego, Ca. A multipotentialite, Jay enjoys finding unique ways to merge his fascination with productivity, automation, and development to create tools and content to serve the community of tech content creators.