Right now, of the three .ipynb files you have, only the calculator one really needs to run server-side.

That is to say, the other two files are just putting out graphs, but they don't have to change. They're static, not dynamic.

So not only do we not have to run them server-side but it would be time laborious and complicated to do that.

Figure out some way of taking your existing graph work and getting it into just some static front-end code we can use. HTML, CSS, and/or JavaScript.

By Googling "matplotlib to d3" (remember that JS graphing library?) I came across this. Look into that, if it doesn't seem suitable, look into other stuff.

• Remove
• Add to .gitignore to make it harder for Ashley to do again

make explanatory text more coherent

edit fonts and font sizes as needed for the user interface

to format output to include icons and better spacing for categories of miles, amount CO2, and water inputs

make calculator tab and a button on homepage that goes to it

create APA style citations for all sources of data

Initial setup of Flask

figure out what function to use to search through food keywords to call associated values in rows

First pass at calculator implementation from iPython notebook

size and space relevant flaticons as needed within web pages

• Move calculator logic out of main/views.py
• The "views" should just be about printing stuff to the screen
  • Not the math behind what gets there
• Remember we did something sort of similar in the parkpics project
  • See this issue here

(Does not need to be done as part of the "first release" project/milestone)

The root README.md has some wonky formatting.

I tried just doing echo "# foodpact" >> README.md from Powershell and things went awry.

Needs fixing.

create data visualizations of GHG emissions associated with food and farm transport, US imports of various food categories, water use, and food waste per household on average

Needs a .gitignore to keep out at least .ipynb_checkpoints/ and probably other Python artifacts.

include resources for composting, reducing food waste, and local food options like CSA networks and farmer's market locators

To begin the project, we'll work out what the frontend / client-side stuff should look like.

It'll be based on Bootstrap 4. That's friendly across many devices plus has a ton of example resources available.

To complete this issue:

• Set up an example file with Bootstrap 4 assets
• Add a README.md to this directory to help sister

figure out how to look up then apply latitude/longitude values for user city and food origin using geopy's great circle distance function