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Data Analysis and Visualizations in R and R Markdown

Welcome to the repository showcasing two data visualization projects completed as part of the Data Visualizations course.

Google Playstore Reviews Dashboard

Explore insights from Google Playstore app reviews with the dynamic dashboard:

  • Location: GooglePlaystoreReviewsDashboard folder

  • Data: reviews.csv dataset from here

  • Files:

    • ui.R: Describes the dashboard's appearance
    • server.R: Defines user-server interactions for interactive visualizations
    • www folder: Contains an image representing Poznań University of Technology
  • Features:

    • Interactive graphs with hover information and zoom capabilities
    • Sidebar buttons for global graph changes
    • Individual graph buttons for specific changes
    • Click dots on most liked reviews plot for detailed review information
  • Usage:

    • Visit this website here to view the dashboard online
    • To run locally, install R and required packages mentioned in server.R and ui.R, then download the folder and run server.R or ui.R
  • Information that can be derived from the dashboard:

    • Distribution of review scores
    • App popularity trends
    • Most supported reviews
    • Detailed view of top-supported reviews
    • Analysis of replied reviews for bot implementation
    • Time taken to reply to reviews
    • Detailed review information
    • Data filtering by app name or time interval
    • Trend lines with preferred smoothing method
    • Liked reviews analysis
    • Reply analysis for high- and low-liked reviews

LEGO Bricks Data Analysis

Dive into the world of LEGO bricks with performed comprehensive analysis:

  • Location: Root directory
  • Data: in the data folder from here
  • Files:
    • LegoBricksAnalysis.Rmd: Code for generating HTML or PDF reports
    • LegoBricksAnalysis.html: HTML report showcasing analysis and visualizations
  • Features:
    • Detailed analysis of LEGO brick data
    • Visualizations, and explanations provided
  • Recommendation: Export R Markdown to HTML for optimal viewing or download the already generated HTML file.

Creators

These projects were created by Kajetan Sulwiński (ekohachi22) and Mikołaj Marmurowicz (Mickeyo0o).