If you haven’t seen yet, you can see how I planned the dashboard on Part I.

A Quick Intro of what the dashboard is for, as follows.

Do you remember how many times you felt disappointed with your wine selection? In order to achieve this, you may need a good guide while deciding to select the wine. My RShiny dashboard app can help to find the best wine in a short time according to many tasters’ experience/reviews and user’s criteria, which are taster name, price range, country, score range and variety, the user can also extend or narrow the filters as she wishes.

Shiny App can be found on :

https://cemsinan.shinyapps.io/WineSelectorApp/

Data:

The dataset has been taken from Kaggle Wine Reviews Data. This dataset has 130k wine entries. Each wine has 13 interrelated variables, which give more details about the wine; country, province, region_1, region_2, description, designation, title, price, variety and winery variables are for general information about wine, points is the variable for taster review’s on Twitter, on the scale of 100 and finally taster_name and taster_twitter_handle are variables for taster name and their Twitter account information.

App Appearance: