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This tutorial teaches interactive data visualization using Bokeh, exploring energy efficiency trends across U.S. states. With data from the U.S. Energy Information Administration, you’ll create dynamic line plots, bar charts, and choropleth maps to uncover insights.

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Exploring Energy Efficiency with Bokeh: A Tutorial

Welcome to this educational tutorial on using the Bokeh library for data visualizations! In this repository, we will embark on a journey to explore energy efficiency programs across U.S. states using interactive visualizations created with Bokeh.

Objectives

  1. Investigate Energy Efficiency Trends: Analyze the effectiveness of energy efficiency programs over time, visualizing patterns and highlighting successes and areas for improvement.

  2. Learn Bokeh: Understand core concepts and features of the Bokeh library, progressing from simple to more complex and dynamic visualizations.

Dataset

We will be working with data from the U.S. Energy Information Administration (EIA), focusing on costs and savings from energy efficiency programs by state and sector. The dataset provides a comprehensive view of the financial and efficiency aspects of energy-saving initiatives across the U.S.

Visualization Techniques

Throughout this tutorial, we will employ various visualization techniques to uncover insights and tell a compelling story with our data:

  • Line/Area Plots
  • Bar Charts
  • Chloropleth Maps

Each technique will be enhanced with interactivity using Bokeh to create engaging and dynamic visualizations.

Getting Started

To follow along with the tutorial, you can either:

Get ready to dive into the world of interactive data visualization with Bokeh and uncover insights into the U.S. energy landscape! I hope you learn skills to use in your own projects or to even extend the visualization I performed in my notebook!

About

This tutorial teaches interactive data visualization using Bokeh, exploring energy efficiency trends across U.S. states. With data from the U.S. Energy Information Administration, you’ll create dynamic line plots, bar charts, and choropleth maps to uncover insights.

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