LAB 0
Boryana's baby steps on planet IDV 🪐



Tracking and Understanding My Dietary Patterns

Dataset and Variables

I started collecting diet data on 3/22/2025 and continued recording until 4/2/2025. During that period, I managed to log every single meal and ended up collecting 41 observations in total. I created a spreadsheet and, for the sake of accuracy, logged my meals as soon as possible after I was finished eating. I also had a backup notepad, where I was recording meals while on the go, and copied the observations to the spreadsheet on the next day. That was extremely helpful, as I noticed that I would forget meal times and details after a day of not logging.



I’ve tracked the following variables, which represent the columns in my dataset:

  1. Timestamp
  2. Type of Meal (breakfast, lunch, dinner, snack)
  3. Healthy Index (on a scale of 1-5)
  4. Main Meal Ingredient (e.g. rice, potatoes, quinoa, etc.)
  5. Home-cooked (dummy variable – Yes/No)
  6. Alcohol Consumption (dummy variable – Yes/No)
  7. Location (home, office, dine out)
  8. On Time (dummy variable – Yes/No)
  9. Mood Before (on a scale of 1-5)
  10. Mood After (on a scale of 1-5)
  11. Mood Change (calculated variable I created = [Mood after] – [Mood before])



Health Index

Rating Description
1 Junk food
2 Containing unhealthy ingredients (refined sugar, fried stuff, etc)
3 Generally healthy but not prepared at home
4 Healthy but containing a limited number of off-the-cleanse ingredients
5 100% Organic meal containing only healthy ingredients, prepared at home



Health Index



Mood Index

Rating Description
1 Poor mood (tired, irritated, anxious)
2 Somewhat poor mood
3 OK mood
4 Good mood
5 Great mood (energetic, positive)



Mood Index

Interactive Dashboard