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NAccuardi/LetsGetThisBread
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https://github.com/NAccuardi/LetsGetThisBread ~~~ ~~~ ~~~ ~~~ ~~~ ~~~ ~~~ ~~~ ~~~ ~~~ ~~~ ~~~ ~~~ ~~~ CS 438 - Big Data Analytics GROUP NAME: - Let's Get This Bread GROUP MEMBERS: - Nick Accuardi - Navreen Kaur - Mitchell Nguyen - Sean Tan GitHub link: https://github.com/NAccuardi/LetsGetThisBread Within the GitHub link, there exists 3 different directories: 1.) ./datasets - contains all csv and Excel files that contain our data (the most important file being "workingData.xslx", which is the file that we create a dataframe out of in our R code for our Shiny website application. 2.) ./rstudio - this contains R code for when we were creating analytical models from our workingData-dataframe. - The sub-directory called "bigDataBread" consists of our initial work on a dataset that consisted of about 100 different grocery stores in the Multnomah County. - The sub-directory called "moreWorkingData" consists of our further work on the "workingData" dataframe that consisted of over 300 different grocery stores in the Portland, Vancouver, and Seattle Metro areas. We used a lot of code from this sub-directory in our Shiny web app. 3.) ./ShinyBread - This is where our "app.R" file exists in order to run our Shiny website application. - Our Shiny application consists of all the relevant data visualizations and data analysis reflections for our project (once it is opened on local machine via RStudio).
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