Scatter plot in Python| Python tutorials For Beginners|Plotting in Python| #matplotlib

This video will help to understand the very basics of python plots using Matplotlib and NumPy.
In this tutorial, we will be exploring how to create custom scatter plots using Python's Matplotlib library. Scatter plots are a great way to visualize the relationship between two variables and are commonly used in data analysis, machine learning, and statistical modeling.

Throughout the video, we will be using Jupyter Notebook and Python 3. We will begin by importing the necessary libraries and data. Then, we will create a basic scatter plot and customize it by adding labels, and titles, and changing the color and size of the markers.

We will also cover some advanced features such as adding a third variable to the scatter plot, creating a bubble chart, and adding regression lines. By the end of the video, you will have a good understanding of how to create custom scatter plots using Python and be able to use this knowledge to visualize your own data.

This tutorial is aimed at beginners to intermediate Python users who are interested in data visualization and exploring Matplotlib's scatter plot capabilities.

If you found this tutorial helpful, please give this video a thumbs up and consider subscribing to the channel for more Python tutorials. Don't forget to leave a comment below with any questions or suggestions for future videos. Thank you for watching!

#python #scatter #jupyternotebook #plot #pythonforbeginners #pythonprogramming

Some Python books to buy

[gadgetsenthusiast]

u are great sir and create unique video for python