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[47] Build a Dashboard with Python Plotly Dash (Laura Gutierrez Funderburk)
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## Upcoming Events
Join our Meetup group for more events!
Laura Gutierrez Funderburk: Build a Plotly Dashboard with Python
## Key Links
## Resources
## Agenda
00:00:00 Data Umbrella Introduction by Reshama
00:04:44 -- Plotly Dashboard Introduction by Laura --
00:06:02 GitHub repo (course material) quick walk-thru
00:08:21 -- Demo of building Plotly Dashboard --
00:09:11 * Part 1: Data Exploration
00:15:28 Using Python and Plotly to generate interactive plots
00:24:54 Using dictionaries to access different kind of functions
00:30:47 Refactoring code into functions
00:35:10 * Part 2: Dashboard Components
00:39:21 Showing Dashboard in Jupyter Notebook
00:40:30 Executing script in terminal
00:46:00 * Part 3: Dash App
00:51:58 Running script in terminal for Dash app
00:54:28 Dropdown Menu
00:56:42 Callback: a mechanism to update the figure
01:00:45 Updating 2 figures with 1 Dropdown
01:09:47 Modify Layouts to incorporate more graphs
01:10:27 * Part 4: Hosting your Dashboard (optional)
01:13:19 -- Recap of the workshop --
01:17:37 -- Q & A --
## 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.
Join our Meetup group for more events!
Laura Gutierrez Funderburk: Build a Plotly Dashboard with Python
## Key Links
## Resources
## Agenda
00:00:00 Data Umbrella Introduction by Reshama
00:04:44 -- Plotly Dashboard Introduction by Laura --
00:06:02 GitHub repo (course material) quick walk-thru
00:08:21 -- Demo of building Plotly Dashboard --
00:09:11 * Part 1: Data Exploration
00:15:28 Using Python and Plotly to generate interactive plots
00:24:54 Using dictionaries to access different kind of functions
00:30:47 Refactoring code into functions
00:35:10 * Part 2: Dashboard Components
00:39:21 Showing Dashboard in Jupyter Notebook
00:40:30 Executing script in terminal
00:46:00 * Part 3: Dash App
00:51:58 Running script in terminal for Dash app
00:54:28 Dropdown Menu
00:56:42 Callback: a mechanism to update the figure
01:00:45 Updating 2 figures with 1 Dropdown
01:09:47 Modify Layouts to incorporate more graphs
01:10:27 * Part 4: Hosting your Dashboard (optional)
01:13:19 -- Recap of the workshop --
01:17:37 -- Q & A --
## 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.