Visualising location data with KeplerGL

August 20, 2021 | 4:12 pm
Tom Ewing, Data Scientist & Engineer, Add To Event
Share

Please complete the form to watch the webinar recording

    Thanks

    You can watch the video below. Let us know if you learn something new or useful by tweeting us @DataIdols.

    Location data can be difficult to deal with, particularly when it comes to visualisation. However, Python has some great tools such as Geopandas, Geoplot and KeplerGL which are both accessible and powerful.

    In his talk, Tom Ewing gives an overview of how to clean, prepare and visualise location data to solve common business-related problems.

    Tom is a Data Scientist & Engineer at Add To Event, a startup that connects people holding events with suppliers. He’s also worked as a data science consultant and was the inaugural data scientist at the Department for Transport where he set up their data science capability.

    Mmm 🍪cookies!

    We use cookies to make your experience on this website better, and we have a variety to choose from. Use the toggles below to customise your selection or click 'Save my cookies' to get straight to the content.