Intro to Data Analysis - Visualization with Python, Matplotlib and Pandas - Matplotlib Tutorial

Overview

Dive into a comprehensive tutorial on data analysis and visualization using Python, Matplotlib, and Pandas. Learn why data visualization is crucial, explore the advantages of Python for data science, and understand the benefits of Matplotlib. Follow step-by-step instructions to set up Jupyter Notebook through Anaconda and begin your data analysis journey. Create simple plots, work with multiple lines, and import data from CSV files. Apply your new skills to a real-world analysis of population growth data for the U.S. and China, comparing both absolute and relative growth rates. Master essential data visualization techniques and gain practical experience in manipulating and presenting data effectively using powerful Python libraries.

Syllabus

: Why data visualization?
: Why Python?
: Why Matplotlib?
: Installing Jupyter through Anaconda
: Launching Jupyter
: DEMO begins: create a folder and download data
: Create a new Jupyter Notebook file
: Importing libraries
: Simple examples of how to use Matplotlib / Pyplot
: Plotting multiple lines
: Importing data from a CSV file
: Plotting data you’ve imported
: Using a third argument in the plot function
: A real analysis with a real data set - loading data
: Isolating the data for the U.S. and China
: Plotting US and China’s population growth
: Comparing relative growths instead of the absolute amount
: About how to get more videos like this - it’s at https://www.csdojo.io/moredata