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Interactive Vizualization on Iris Dataset

This project is designed to explore the well-known Iris dataset through interactive visualizations created using the Plotly library in R. The goal is to provide insights into the Iris flower species data, emphasizing patterns and relationships between different measurements.

Features

  • Interactive Visualizations: Utilize Plotly to explore interactive histograms, scatter plots, and more.
  • Comprehensive Data Analysis: Includes various statistical analyses to understand the Iris dataset deeply.
  • Dynamic User Interface: Easy to navigate and use, providing a user-friendly environment for data exploration.

Installation

To run this project, you will need RStudio installed on your computer, along with the following R packages:

install.packages("plotly")
install.packages("dplyr")
install.packages("data.table")
install.packages("tidyr")
install.packages("lubridate")

Usage

To use this project, clone this repository and open the iris_visualization.R file in your RStudio. You can run the script directly to see the visualizations, or you can modify it to explore different aspects of the data.

License

This project is licensed under the MIT License

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Explore the Iris dataset through interactive visualizations using R and Plotly to uncover patterns and insights in flower species data

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