Speaker:: Paula Gonzalez Avalos
Track: PyData: Visualization We are all constantly collecting and sharing personal data in exchange for services. And although often this data is available to us as users as well, it's not common that we take back control of it and use it despite having the skills to do so. In this talk, I will show three examples to illustrate how we can apply common data science libraries together with data shared via mobile apps or collected manually to build little data visualization projects that provide unique, contextual and intmiate insights. Projects like this help expand the application scope of Data Scientists and they are also a good introduction to working with data for all other python coders.
Recorded at the PyConDE & PyData Berlin 2022 conference, April 11-13 2022. https://2022.pycon.de More details at the conference page: https://2022.pycon.de/program/UMN7FB Twitter: https://twitter.com/pydataberlin Twitter: https://twitter.com/pyconde