Data Explorer - Iris Dataset

An interactive web application built with Shiny for exploring and visualizing the Iris dataset. This app allows you to filter data by species and view correlations between sepal and petal measurements.

Preview

The Data Explorer app provides an interactive interface for analyzing the Iris dataset:

This visualization shows the relationship between sepal length and petal length, colored by species. The app allows you to filter by species and view detailed measurements for each data point.

Interactive Demo

Interact with the live Shiny application below:

Features

Species Filter: Select individual iris species or view all data
Interactive Visualization: Hover over data points to see detailed measurements
Data Table: View the filtered dataset in a formatted table
Dynamic Updates: All visualizations update in real-time based on your selection

Running the App Locally

To run this application on your machine:

# Install dependencies
pip install -r requirements.txt

# Start the Shiny app
cd projects/data
shiny run app.py

Then visit http://127.0.0.1:8000 in your browser.

Project Details

Technology Stack: - Python 3.9 - Shiny for Python - Pandas for data manipulation - Plotly for interactive visualizations

Repository: add links to notebooks and artifacts.