COPC Experience Tracker

A Shiny app to track personal daily experiences across different times of day.

COPC: Create, Observe, Participate, Consume

Features

• Log Experiences: Capture one or many experience types with descriptions
• Time of Day: Track experiences across morning, day, evening, and night
• Daily Snapshot: View all experiences for any selected date
• Trend Analysis: Visualize patterns over time
  • Weekly (last 7 days)
  • Monthly (last 30 days)
  • Year to Date
  • Last 12 Months
• History View: Filter and browse all logged experiences

Experience Types

• Work/Productivity
• Exercise/Physical
• Social/Connection
• Creative/Hobby
• Learning/Growth
• Rest/Relaxation
• Nature/Outdoors
• Mindfulness/Meditation
• Entertainment
• Family Time
• Self-Care
• Other

Data Storage

Data is stored in CSV format (data/experiences.csv) for GitHub compatibility:

• Human-readable: Easy to review changes in diffs
• Version controlled: Track your experience history over time
• Portable: Simple to backup, export, or migrate
• Editable: Can be modified manually if needed

Privacy Note

By default, the experience data is tracked in git. If you want to keep your data private while still using GitHub:

1. Add data/experiences.csv to .gitignore
2. Or use a private repository

Installation

Prerequisites

• R (>= 4.0)
• Required packages:

install.packages(c(
  "shiny",
  "bslib",
  "tidyverse",
  "lubridate",
  "plotly"
))

Running the App

# From R console
shiny::runApp()

# Or from command line
Rscript -e "shiny::runApp()"

Usage

1. Log an Experience

   • Select the date (defaults to today)
   • Choose the time of day
   • Select one or more experience types
   • Add an optional description
   • Click "Save Experience"

2. View Daily Snapshot

   • Navigate to the "Daily Snapshot" tab
   • Select a date to see all experiences for that day
   • Delete individual entries if needed

3. Analyze Trends

   • Go to the "Trends" tab
   • Select time period (week, month, YTD, year)
   • Choose visualization type:
     • Experience Types: Bar chart of type distribution
     • Time of Day: Pie chart of when you log experiences
     • Daily Activity: Line chart of experiences over time

4. Browse History

   • Use the "History" tab
   • Filter by experience type, time of day, or date range
   • View up to 100 most recent matching entries

Project Structure

copc/
├── app.R              # Main Shiny application
├── data/
│   └── experiences.csv  # Experience log (CSV format)
├── .gitignore
└── README.md

Contributing

Feel free to customize the experience types in app.R by modifying the EXPERIENCE_TYPES vector to match your personal tracking needs.

License

MIT