Anime Preference Analysis - Foundations of Data Science

This project was developed by Maria Elena Zuliani for the "Foundations of Data Science" exam.

The project consists of an Exploratory Data Analysis (EDA) carried out with R and R Markdown, which compares a global anime dataset with the author's personal watch list to extract trends and preferences.

📂 Repository Structure

• Zuliani_MariaElena_Fondamenti_di_scienza_Dei_dati.Rmd: The source code of the analysis. It includes data loading, cleaning, graphical visualization, and presentation generation.
• Zuliani_MariaElena_Fondamenti_di_scienza_Dei_dati.html: The analysis output generated as an interactive presentation (ioslides).
• Anime2022new.csv: Global dataset (sourced from Kaggle) containing detailed information on thousands of anime (titles, scores, genres, studios, release dates).
• MyAnimeList.csv: Personal dataset exported from MyAnimeList containing the history of watched anime, assigned scores, and watch status.

🛠️ Requirements and Libraries

The project is written in R and requires the following libraries for data manipulation and chart creation:

library(readr)
library(dplyr)
library(tidyr)
library(ggplot2)
library(RColorBrewer)
library(tidyverse)
library(scales)
library(forcats)
library(forecast)
library(pals)
library(ggrepel)
library(gridExtra)