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 First, an individual would need to download the datasets described in the "Datasets Used for this Project" section below. Once the foods and nutrient values are integrated into a single dataset, they would then need to calculate what percent of each nutrients recommended daily intakes it met by individual foods. If you are interested in skipping and using our aggregated dataset, it is made available in the data folder of our github. Individuals looking to replicate and edit the dashboard created for this project will need to download python and install the streamlit and plotly libraries. If interested in using our code, that is made readily available within our GitHub and can also be found in a condensed file on Zenodo. LINK
 
 # Future Directions
-We hope to continue refining our dashboard to include greater functionality and customization for users in a future codeathon. Our next steps for this project are to 1) increase the number of foods and nutrients our dashboard can reference, 2) automate updating of data from USDA FDC, 3) include macronutrients within the Diet + Recommendation view, 4) include all age bracket options for dietary reference intakes, 5) include activity level and dietary limitation specific customizations 6) allow for the serving size to be customized, and 7) pursue user testing and elicit feedback. 
+We hope to continue refining our dashboard to include greater functionality and customization for users in a future codeathon. Our next steps for this project are to 1) increase the number of foods and nutrients our dashboard can reference, 2) automate updating of data from USDA FDC, 3) include macronutrients within the Diet + Recommendation view, 4) include all age bracket options for dietary reference intakes, 5) include activity level specific customizations 6) allow for the serving size to be customized, and 7) pursue user testing and elicit feedback. 
 
 # Datasets Used for this Project
 - "Uncovering the Nutritional Landscape of Food by Kim" et al. [S1 Dataset. Foods analyzed in this study](https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0118697#references)