A mini data viz project exploring LEGO sales using the lego_sales dataset from the dsbox package. I cleaned the data and built fun visualizations to show top-selling themes, loyal customers, age-based trends, price vs pieces, and correlations. Insights are shared with each plot—highlighting strategies like loyalty programs, adult fan targeting, and smart pricing. All visualized in ggplot2, styled with bold pink vibes.

A mini data viz project exploring LEGO sales using the lego_sales dataset from the dsbox package. I cleaned the data and built fun visualizations to show top-selling themes, loyal customers, age-based trends, price vs pieces, and correlations. Insights are shared with each plot—highlighting strategies like loyalty programs, adult fan targeting, and smart pricing. All visualized in ggplot2, styled with bold pink vibes

this assignment was done by Revalina Putria Hidayat (16231049) for the Intro to Data Science course. the main focus is on visualizing data in R, especially using faceted plots and looking at the proportion of opinions across different regions. basically, it's about making the data easier to understand through graphs. this exercise also covers connecting R to GitHub, so we can track changes, manage versions, and upload the analysis in a more organized way.