RealmCharts

This repository contains the frontend and backend for RealmCharts, a live dashboard on RotMG player counts and Steam reviews.

Backend uses Python for data collection, Flask + Gunicorn + nginx for webserver. Frontend is raw HTML/JS + Highcharts.

To-do List

• Set up Flask app
• Set up automated job to scrape players and online status
• Decouple collection and database logic
• Design frontend basic layout
• Create frontend dashboard for players
• Update player statistics live on dashboard
• Automate playercount removal when server is offline
• Set up automated job to scrape Steam reviews
• Add mobile-friendly frontend
• Create basic frontend for steam positive/negative reviews over time
• Create automated detector when data source is flatlining and auto set to null
• Create more insightful %positive reviews callouts over the current viewed time period, not just entire time span
• Create automated job for populating new table with count from every 5 minutes (so time series forecasting techniques can handle)
• Decide on forecasting model by performing offline analysis
• Deploy basic forecasting model
• Finish About page
• Automated deploying of forecasting model
• Handle maintenance/untrustworthy data periods for forecasting
• Documented API at API Reference
• Error/autocorrelation analysis on prediction errors for model tuning
• Automate new season determination

Blocked

• Create seasonal callout card comparison (lack of data)
• Replace the cat with season callout box on player count chart

Potential tasks

• Describe daily, weekly and RotMG season seaonality analysis
• Statistical analysis of reviews