Open Chukwurach1 opened 4 years ago
Chris, I'm excited you'll get to explore music trends in this project!
Re schedule: you may want to start developing the Shiny app in week 2, while simultaneously looking at patterns/creating visualizations
I'm really looking forward to your post!
Update 1: 10/10
Update 2:
Decided to take your advice - began developing my Shiny app this week.
Progress: Combined datasets into one - removed and mutated desired variables I want to keep. Created basic outline of Shiny app - want to add a scatterplot to compare between various variables, think I'll have this completed by the weekend. Have a table, as well as a histogram included in the Shiny. For this upcoming week - finish Shiny App, get some feedback from peers then progress onto working on the world map.
Great that you started developing the Shiny app! Also excellent plan to get feedback from your peers!
Could you push the data to the repo? You had mentioned in your first update that you had committed and pushed them, but I don't see them in the repo?
Update 2: 5/5
Update 3:
Completed Shiny app - waiting for feedback from peers. Added blog post image related to my topic. Going to begin working on interactive map which shows most popular genres based on location (might add other features as well). Will do same with Shiny - reach out to peers for feedback once done. Once completed both (Shiny + Map) - will do some research on what I want to discuss during presentation; then draft a script for my presentation.
@Chukwurach1
Chris, sounds like you're making good progress! Remember to give yourself some time to write up the blog post (in index.Rmd); please review the project guidelines for what should be included there, and reach out if you have any questions. The map could go directly in the post, and you can include a link to your shiny app.
Update 3: 5/5
1b. Will not be a continuation from my prior PUG group (money-makers). Using 2 datasets from Kaggle: "top10s.cvs" - The top songs BY YEAR in the world by Spotify. This dataset has several variables about the songs and is based on Billboard & "top50country.cvs" - The top songs BY COUNTRY by spotify. This dataset has several variables about the songs and is based on Billboard (committed & pushed datasets).
Want to look at the transgression of popular music genres and types through the years available in my dataset (2010 - 2020) and filter based on different countries. In terms of final product - shiny app which involves various variables able to be selected and allow users to select certain countries to compare and constant. Maybe an interactive world map that shows the most popular genres based on selected zone/country. Additonally - thinking of incorporating few interesting visualizations if cool/meaningful relationships can be made with the variables available between both datasets.
Schedule - 1st week: Beginning data wrangling and filtering/selecting what exactly I want to be presented 2nd week: Start looking at patterns and relationships between data sets + add visiualization where needed. 3rd week+: Start designing Shiny app + Interactive map