The only purpose of this branch is to allow streamlit.io to clone the project with an included sqlite dataset.

Table of Contents

1. Description
2. Screenshots
   1. Premade graphs
   2. Dynamic dataset
3. Feature list
   1. Finished
   2. WIP
4. How tos
   1. Run
   2. Host

Description

Covid dash and analysis using streamlit.

Screenshots

Premade graphs

Dynamic dataset

Feature list

Finished

• Premade plots
  • Hospital patients per mill over time
  • Deaths per mill over time
  • Hospital patients per mill vs New cases per mill (with OLS regression)
  • Positivity rate over time
• Usermade plots
  • Group by string variables
  • Date only on x-axis
  • Floats and integers on x-, y-axes but not legend
  • Dynamic plot title
• Dataset summary
  • Descriptive statistics
  • Usermade customizable dataset summary
• Get the data
  • Download plot (via plotly)

WIP

• Premade plots
  • Description of each plot
  • Positivity rate per country
    • With customizable date
• Usermade plots
  • Only categorical variables in legend
    • Depending on plot type (bar, line, scatter)
  • Ability to choose countries outside plotly
• Dataset summary
  • Comparative statistics (traditional stats)
  • Predictive statistics (machine learning)
  • Download customized dataset
• Premade heatmaps
• Usermade heatmaps

Host

sudo chmod +x install.sh
sudo chmod +x start_me.sh
sudo chmod +x update_db.sh

./install.sh

Installer script will:

1. Create new environment
2. Install all required python libraries
3. Add a cronjob to cron (if user desires, can be done post installation as well)
4. Start the covid_dash script on port 8504