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Exploring Covid-related data and creating visualizations on a range of economic activity categories.

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Economic impact of public behaviour during Covid-19

This repository contains a Python project for exploring Covid-related data and creating visualizations on a range of economic activity categories.

Project title

Economical Impact of public Behavior on different brand categories in COVID-19

Project statement

The goal of this project is to study the impact of covid on public behavior and how that affects economic activity across different sectors. More specifically, the study will analyze how public behaviour correlates with covid related variables such as lockdown measures, policies etc.

The project will define public behavior using variables such as google searches, restaurant visits, vaccine acceptance etc. For instance, for the brand category "Health and Personal Care Stores", the below figure represents the changing visit counts for Mar 2021 to Aug 2021: alt text

Project team members

Team Members (actively involved in Data preprocessing, Analysis and visualization and getting the project up :) and running dashboard!!)

  1. Navjot Kaur (Team lead)
  2. Yee Fay Lim (Mentor)
  3. Ilyssa Summer
  4. Mark Ladbrook
  5. Maruf Mirzokhidov
  6. Jenny

Other Contributors: 6. Sam Simon 7. Steven 8. Su 9. Annie

Project main deliverable

Dashboard displaying scatterplot summarizing activity in user-selected economic sector and month for the state of California.

Vancouver Datajam 2021 Schedule:

Event format: 100% online

Important dates:

Date Action item
Sep 13 - 17 Participants are let in Discord, teams are formed
Sep 18 Workshop day! Keynote: Making AI responsible with May Masoud
Sep 19 Project statements are released
Sep 19-24 Teams may work asynchronously (limited help desk support)
Sep 25 Keynote talks, help desk support provided during the day, project submission deadline, career panel. See speakers

Power up Saturday September 25 - suggested team schedule. All times in PDT

Time Action item
8:00 - 8:10 Land acknowledgement, opening remarks
8:10 - 8:40 Keynote: Role of Statistics in Data Science: Applications in Biomedical Sciences with Prof. Jemila Hamid
8:40 - 9:10 Keynote: How to use the tools of data science to benefit Indigenous peoples and organizations with Hannes Edinger
9:10 - 9:30 Keynote Q&A
9:30 Help desk opens up, teams work on their project
9:30 - 10:00 Teams brainstorm tasks for the day
12:30 - 13:00 Team check in: share exploratory analysis results
15:30 - 16:00 Team check in: teams discuss presentation format and preliminary results
16:00 - 16:45 Teams prepare their 5-10 minute presentation, teams ensure all code is documented and stored in GitHub
17:00 Project video submission deadline
17:30 - 18:30 Project videos released on YouTube. Vote for your favourite team demo!
18:30 - 20:00 Career panel
20:00 - 20:30 People's Choice Award presented. Closing remarks

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Exploring Covid-related data and creating visualizations on a range of economic activity categories.

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