After discovering that many major cities in the United States have open data projects that allow for a level of transparency. I was happy to discover that my own city had data available but quickly realized that the data had many issues that would make it difficult to analyze as-is.
In this talk, I will show how I was able to consolidate "Calls for Service" to the San Diego Police Department since 2015. This was done by importing the city-provided CSV files into Pandas DataFrames and making modifications to standardize data.
I will also convert approximate location data to a geo_point using Public geoJSON data and the filter capabilities in Elasticsearch.
Lastly, I will show how you can bulk upload the data into and out of Elasticsearch via eland so that it can be visualized in Kibana or a public graphing platform and how I automated this process to check for updates.
After three amazing in-person conferences, this time we're moving PyCascades online.
PyCascades is a regional PyCon in the Pacific Northwest, celebrating the west coast Python developer and user community. Our organizing team includes members of the Vancouver, Seattle, and Portland Python user groups.
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Sat Feb 20 11:45:00 2021 at Prerecorded Talks