Workout Visualizer

Homebrew data visualizer for my workouts over the last year. Ideally I want to build this out to continue to take in future data and display fresh graphs.

UPDATE

This is serving as just a proof of concept / dusting off python project. I'm starting to work on converting this into a react app that I can use on the go.

Core Functions

• Consume data and visualize workout progress

Tech Stack

• Python

  • Plotly
  • Pandas

  Overview

• Transferred the txt file I've had on my phone for a year at this point

  • Clean up the data to be in a parseable format
  • Determine ways to read in and visualize all the data

• Conver the txt file to csv

• Consume the data in python

• Visualize it

Dev Process

Data Sanitzation Process

Workout type: (scrapped for now, but keeping this for future me)
    generic weight: [`dayAppended`,activity,weight]
    reps : [`dayAppended`,activity,weight,repsXset]
    generic cardio: [`dayAppended`,activity,time]
    cardio : [`dayAppended`,activity,incline,time]
    unspecified : [`dayAppended`,activity]

Data layout:
    
    (day 0)
    blahblah.10
    blahblah.5

    (day 1)
    blahblah,15

    * in the future I'd like to work with actual dates, but I forgor to put it in my notepad x.x*

• Had a lot of special characters to indicate uncertainty or side notes
  • Rather than complicate things more, I trimmed a lot of these values to follow the format: [day,activity,quantity/time]
  • Still not sure what to do with the abs
• Matplotlib and numpy are proving to be a pain with consuming this data...
  • Looking into pandas and other plotting libraries
  • Plotly?
• Wow, plotly made this super easy. Marking this project as done and moving on to version 2.

Going Forward...

• How can I get this to update with new data as I continue to work out?
  • Use actual timestamps with this implementation?
• I decided to have this serve as a proof of concept. Next project will be reworking this into a web app I can use on the go and at home