Created by: Miliban Keyim and Paul Vial
There are a vast number of wines from different wineries to choose from in the world. The number of available options is far too large to be considered and tasted individually by anyone. Therefore, to make informed buying decisions we have sommeliers and tasters give us ratings about different wines.
We have created a data visualization application using R Shiny which will allow buyers to explore the wine data to identify the best valued wines that have the features they desire. This visualization will allow the user to see the distribution of ratings across other wine data fields and see how each attribute affects or relates to the rating. The application will allow users to explore and filter wines according to the characteristics they are interested in and to select individual wines by to their price and rating for further inquiry.