{ "cells": [ { "cell_type": "markdown", "metadata": {}, "source": [ "# Tutorial: Visualizing your results\n", "\n", "In this tutorial, we will be exploring different forms of visualization in Python using various packages. We will start by learning how to use **Matplotlib**, a popular plotting library in Python. We will then move on to **Seaborn**, which provides more advanced statistical visualizations. Next, we will explore **Plotly**, a powerful tool for creating interactive plots. Finally, we will introduce **Folium**, a library for creating geospatial visualizations.\n", "\n", "Throughout this tutorial, we will cover different types of visualizations, including spatial and non-spatial, single and multi-panel, static and interactive plots. We will also explore the use of different colormaps to enhance our visualizations.\n", "\n", "By the end of this tutorial, you will have a solid understanding of different visualization techniques and be able to create a wide range of visualizations to communicate your data effectively\n", "\n", "