Welcome to Exploralytics’s documentation!

Exploralytics is a powerful data visualization library built on top of Plotly, designed to create beautiful, interactive visualizations with minimal code. It provides a consistent API and styling across different types of plots while maintaining full customization capabilities.

Features

• Easy-to-use interface for creating complex visualizations

• Consistent styling and customization options

• Interactive plots powered by Plotly

• Support for various plot types:

  • Histograms with distribution analysis

  • Correlation matrices

  • Feature correlation analysis

  • Horizontal bar plots

  • Dot plots with reference lines

Getting Started

To get started with Exploralytics, check out the following sections:

Contents:

• Installation Guide
  • Requirements
  • Installation
• Usage
  • Getting Started
  • Creating a Visualizer Instance
  • Customization Options
  • Working with Data
  • Best Practices
  • Troubleshooting
• Examples
  • Setting Up Example Data
  • 1. Histogram Plots
  • 2. Correlation Matrix
  • 3. Correlation with Target
  • 4. Horizontal Bar Plot
  • 5. Dot Plot
  • Real-World Examples

Quick Example

Here’s a quick example of using Exploralytics:

from exploralytics import Visualizer
import pandas as pd

# Initialize the visualizer
viz = Visualizer()

# Create a simple histogram
viz.plot_histograms(
    df,
    title='Data Distribution',
    show_mean=True,
    show_median=True
)

Contributing

Contributions are welcome! Please feel free to submit a Pull Request.

Indices and tables

• Index

• Module Index

• Search Page