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pranamita

Pranamita

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This dataset contains simulated yearly data on popular car and bike models in Bangladesh between 2010 and 2024.
Example Insights You Can Extract: Which vehicle types are gaining or losing popularity over time? How have prices shifted from 2010 to 2024? What is the relationship between units sold and popularity? Are bikes becoming more affordable while cars grow in price?
Final Project_Pranamita Mazumder
This project explores crime case records in Bangladesh from 2000 to 2024. It includes major types of crimes such as murder, rape, robbery, mob violence, vandalism, and psycho-killing. Each case is categorized as solved, unsolved, closed, or replicated. We visualize trends across years using static and interactive plots, and animate the yearly changes with gganimate.
Pranamita Mazumder_final project
Choose any dataset of your choice. It can be mtcars from R or any csv file you want to use. Create the following: Describe the dataset. What are the variables? Create a static visualization using ggplot2. Try to use the parameters we have learnt in class including alpha, size, regression line, etc. Describe your visualization. Use the visualization from part 2 to create an interactive chart using plotly. Create an animation using gganimate. Your animation should change according to a time series component.
Assignment 2
Assignment 02 Choose any dataset of your choice. You may use mtcars, or any data you can import through read.csv. 1. Create an appropriate visualization by choosing 1 to 2 variables from your dataset. 2. Showcase the data distribution. You may use colors or shapes. Change the x and y axis units to show data clearly. Show titles, subtitles, x and y axis labels and captions to describe your visualization.
Assignment01_Pranamita
In this document we can see calculations in R