Merge pull request #42 from UBC-MDS/prep_submission

Added link to readme

Author: samson-bakos

README.md

@@ -1,5 +1,7 @@
 # MacroView
 
+Available at: https://macroview.shinyapps.io/MacroView-v1/
+
 ## Group Members
 
 -   Austin Shih @austin-shih
@@ -9,24 +11,24 @@
 
 ## Overview
 
-This repository contains the MacroView dashboard project. The project aims to create an application that allows potential users track their daily calorie/ macronutrient intake by using the `Nutrient Value of Some Common Foods` dataset (accessed [here](https://open.canada.ca/data/en/dataset/a289fd54-060c-4a96-9fcf-b1c6e706426f). 
+This repository contains the MacroView dashboard project. The project aims to create an application that allows potential users track their daily calorie/ macronutrient intake by using the `Nutrient Value of Some Common Foods` dataset (accessed [here](https://open.canada.ca/data/en/dataset/a289fd54-060c-4a96-9fcf-b1c6e706426f).
 
 
 ## Who are we and who should use this dashboard?
 
-We are a team of 5 [UBC MDS](https://masterdatascience.ubc.ca/) students who created this Shiny app as part of the masters program and hope to empowering individuals to make informed and healthy lifestyle choices. 
+We are a team of 5 [UBC MDS](https://masterdatascience.ubc.ca/) students who created this Shiny app as part of the masters program and hope to empowering individuals to make informed and healthy lifestyle choices.
 
 This dashboard is essentially a nutrition tracking dashboard that enables health-conscious individuals to accurately track and visualize their macronutrient intake. Our intended users are anyone who wants to track their nutrition easily, for free, and with reliable nutrition data. MacroView will be accessible for both experienced body-builders and individuals who are new to nutrition tracking and don't know where to start.
 
-## Dashboard Functionality 
+## Dashboard Functionality
 
-The dashboard will have four tabs, `Main Dashboard`, `About`, `Data`, `Download`, and `Statistics`, with the `Main Dashboard` tab containing the main app funcionality. The live app can be accessed [here](https://macroview.shinyapps.io/MacroView-v1/). 
+The dashboard will have four tabs, `Main Dashboard`, `About`, `Data`, `Download`, and `Statistics`, with the `Main Dashboard` tab containing the main app funcionality. The live app can be accessed [here](https://macroview.shinyapps.io/MacroView-v1/).
 
-The `Main Dashboard` layout will have user input on the left and visualizations on the right. 
+The `Main Dashboard` layout will have user input on the left and visualizations on the right.
 ![](img/dashboard.png)
 
 
-On the left hand columns there are two input categories, one for setting up macro nutrient targets either by slider bars or direct user input, and the other for inputting actual food intake items by weight to visually determine if targets are met. 
+On the left hand columns there are two input categories, one for setting up macro nutrient targets either by slider bars or direct user input, and the other for inputting actual food intake items by weight to visually determine if targets are met.
 ![](img/user_input.png)
 
 Once targets and food items are populated, two graphics will be displayed to visualize targets and inputs. The top 'Totals' figure will display the user input information as a bar plot indicating total calories, and caloric breakdown by macro nutrients (protein, carbs, fat) as well as user targets.
@@ -35,7 +37,7 @@ Once targets and food items are populated, two graphics will be displayed to vis
 The bottom figure will plot the specific caloric intake and targets as a stacked bar plot showing the proportional breakdown of user inputs.
 ![](img/proportions.png)
 
-## Continuous Development 
+## Continuous Development
 
 Want to help improve this app? Please check out the [contributing guidelines](https://github.com/UBC-MDS/MacroView/blob/main/CONTRIBUTING.md) and [code of conduct](https://github.com/UBC-MDS/MacroView/blob/main/CODE_OF_CONDUCT.md).
 

src/server.R

@@ -53,7 +53,7 @@ observeEvent(input$carbSlider,  {
 })
 
 # read data and select relevent columns
-data <- read.csv('../data/cleaned_dataset.csv') |>
+data <- read.csv('https://raw.githubusercontent.com/UBC-MDS/MacroView/main/data/cleaned_dataset.csv') |>
   select(c('Food.name', 'Weight', 'Energy', 'Protein', 'Carbohydrate', 'Total.Fat'))
 data[nrow(data)+1,] <- c('None', 1, 0, 0, 0, 0)
 
@@ -316,7 +316,7 @@ observeEvent(input$selectText,{
 
 #Statistics/ Ranking Plot Tab
   output$sortedChart <- renderPlotly({
-    data <- read.csv('../data/cleaned_dataset.csv') |> rename(name = Food.name)
+    data <- read.csv('https://raw.githubusercontent.com/UBC-MDS/MacroView/main/data/cleaned_dataset.csv') |> rename(name = Food.name)
     specCol <- data[, gsub(" ", ".", input$component, fixed=TRUE)]
     data$colByWeight <- ifelse(data$Weight == 0, 0, specCol / data$Weight)