Creating a Python Plotly Dashboard

## Link to join the webinar here:

https://www.bigmarker.com/neo4j/Data-Umbrella-Webinar

##Time
9am PT / 12pm ET / 8pm EAT / 10:30 PM IST

## Speaker

Laura Gutierrez Funderburk

## Talk Level

Intermediate

## Pre-reqs

Familiarity with Pandas and matplotlib. Some familiarity with Python scripted recommended but not required. Knowledge of introductory Python coding required (variable definition, function definition, module calling, data structures).

## Prep Work

If you'd like to follow along, set up a virtual environment from the instructions in this readme https://github.com/data-umbrella/data-umbrella-sprints-dashboard

## Resources

https://github.com/data-umbrella/data-umbrella-sprints-dashboard

## Event

In this workshop we will use pandas, plotly and Dash to create a dashboard that explores changes in the average housing price in various provinces in Canada for the last 5 years. We will start by generating interactive visualizations using plotly and turn exploratory code into reusable functions. We will then work together to bring our functions into a script. Participants will be introduced into dashboarding, layout options, and will work together to generate and test a local dashboard.

## Speaker

Laura works as a data scientist in the maritime industry. She holds a Bachelor of Mathematics from Simon Fraser University (SFU). Her alma mater recognized her work in creating enriching learning experiences by awarding her the Terry Fox Gold medal.

LinkedIn: https: //www.linkedin.com/in/laurafunderburk/
Twitter: https: //twitter.com/LGFunderburk
GitHub: https: //github.com/lfunderburk

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