#Data Loading & Preparation: ->The dataset is loaded using read.csv() from a specified file path ("C:/Users/banda/OneDrive/Desktop/stt/project.csv"). ->The data is arranged in descending order by the number of streams with the help of arrange(desc(streams)). #Data Exploration: ->The top and bottom records of the dataset are viewed using head() and tail(). ->A summary of total streams per artist is created by grouping the data by artist name and summing the streams, followed by arranging the data in descending order of total streams. #BTS Data Analysis: ->Data specifically related to the artist "BTS" is filtered and the rank of BTS is displayed. #Basic Plots: ->Various plots are created to explore relationships between the release day and streams, release month and streams, and release year and streams. ->Scatter plots are created to visualize the data with colors based on artist count. #Histogram of Released Months: ->A histogram is created to visualize the distribution of songs by their release month, using pink coloring with black borders. #Advanced Visualizations: #Heatmap: After selecting numeric columns, a correlation matrix is calculated and a heatmap is created to visualize the relationships between numeric variables. #Top 20 Artists: The top 20 artists by total streams are selected, and a pie chart is created to display their share of total streams. #Top 5 Artists Bar Plot: ->A bar plot is generated for the top 5 artists by total streams, showing their comparison with sky-blue bars and rotated x-axis labels for readability. #Visualizations: #Pie Chart: A pie chart visualizes the total streams of the top 20 artists with a rainbow color palette. #Bar Plot: A bar plot highlights the top 5 artists, showing their total streams in a visually appealing way.