robert-godlewski/fitness_analyser

Analyses data based off of body measurements over time

Overview

This is a fitness analyser to check progress on body measurements over time.

Setup

1. install python
2. clone repository
3. go inside the repository clone: % cd fitness_analyser
4. .....create environment......
5. activate environment: % pipenv shell
6. install dependencies: % pip install

Running the app

1. activate environment: % pipenv shell
2. run: % python fitness_analyser.py

References

Coding

• https://matplotlib.org/
• https://www.geeksforgeeks.org/plot-a-horizontal-line-in-matplotlib/
• https://www.sqlite.org/datatype3.html
• https://www.geeksforgeeks.org/how-to-convert-bytes-to-string-in-python/
• https://wellsr.com/python/adapting-and-converting-sqlite-data-types-for-python/
• https://www.tutorialspoint.com/python_data_access/python_sqlite_select_data.htm

Research of health calculations

• https://www.cnn.com/2017/08/16/health/bmi-measure-fat-questions/index.html

Planning

Inputed data

All of these are float unless noted

• Height in inches and feet (add in a conversion)
• Weight in pounds (add in a conversion)
• Forearm Circumference - Men need to be around 9-11" at 5'8"
• Upper Arms Circumference (Biceps and Triceps) - Men need to be around 12-14" based off of a neck measurement of 14"
• Shoulders (pinch at the shoulder blades) - men check the Shoulder-Hip ratio
• Chest (around the niples) - Men need to the same as hips
• Waist (around Bellybutton) - check the Waist-Hip Ratio and should be 1/2 of height in inches
• Hip (Around the thickest part of Glutes) - check the Waist-Hip Ratio
• Thigh Circumference (about 2" away from butt)
• Calf Circumference (around the thickest part)
• Dates measured - Date (String)
• Notes about data - String
• Boolean if it's metric or not.

Calculated data

• m = inch/39.37
• kg = lbs/2.205
• BMI = (weight kg)/(height x height m x m)
• Shoulder-Hip Ratio - Males = 1.6 (x<1.6 = need to do more Chest/Shoulder/Back strength and burn abs, x>1.6 = need to do more ab strength)
• Waist-Hip Ratio - Males => 0.8 <= x < 0.9 and Females => 0.6 <= x <= 0.8
• Body fat percentage based off of height-waist ratio = 50% at 34" waist and 68" height
• checking if inputed data is in metric of imperial
• checking if everything is ok / ideal / warning / too big / too small

fitness_analyser's Issues

Add in a way to grab inputed data

Skims through a csv file to grab values and inputs it to a sqlite database