Intro to Data Analysis Visualization with Python, Matplotlib and Pandas

Intro to Data Analysis Visualization with Python, Matplotlib and Pandas:

📊 Introduction and Overview: Time series and forecasting in Python, covering importing data, plotting, formatting graphs, and exporting images using Jupyter Notebook, Pandas, and Matplotlib.

📊 Importing Data: Learn how to import an Excel dataset using Pandas, specifying the file path and setting the first column as the index to handle time series data appropriately.

📊 Plotting Data: Learn how to plot the imported data using Pandas' plot function, and then explains how to format the graph by adding titles, labels, and legends using Matplotlib's pyplot module.

📊 Customizing and Exporting Graphs: Learn additional customizations like adding grids, changing figure size, and setting the background color before exporting the graph as a PNG file.

Welcome to this tutorial video on data analysis and visualization with Python, Pandas, and Matplotlib, specifically designed for economics enthusiasts. This video will guide you through the benefits of data visualization and how you can leverage Python and Matplotlib to create stunning visualizations.

In this video, we will begin by exploring the setup of Jupiter Notebook and Anaconda, and how to import and use data from CSV and Excel files using Pandas. We will also delve into the importance of libraries in Python and how to use them effectively.

The tutorial will show you how to plot data with Pandas, format your plot with Matplotlib, add titles, labels, and a legend, and finally export your graph. To help you understand the concepts better, we will provide a simple example of using these tools, followed by a real analysis example using a real dataset.

This is the second Python tutorial (ensure to watch the first video). Throughout the tutorials, you will have the necessary tools to estimate diverse applied time series and forecasting models for applied economics. Let's begin!

---------------------------------------------------------------------------------------------------------
👋👋👋 IMPORTANT LINKS:

👍Check the python free applied time series & forecasting course

👍 Check my website for all my available tutorials:

👉🏻Join this channel to get access to perks and MEMBERS ONLY VIDEOS:
---------------------------------------------------------------------------------------------------------

☕️If you would like to show your appreciation and make a donation:

👍 OR: You can show your appreciation with super thanks! Find the "super thanks" button beside the "Like" button.

---------------------------------------------------------------------------------------------------------
🕘 Timestamps:
🎬 In this video the following content is covered:
👋 Overview 0:00
📊 Import Excel Data 0:56
📊 Plot Data 5:14
📊 Add Format to the Graph 5:44
📊 Export the Graph 10:48

If you liked the video and would like more content, please support my channel subscribing!

👍Like and subscribe for more videos!

Thanks for watching!

[JDEconomics]

Thanks for watching! Feel free to leave your comments/feedback.

Note: There are more things we could have covered about handling data, but I trust this will be sufficient to get you started.

You can take a look at the pandas manual with all the details at:

👍 Check my website for all my available tutorials:

If you would like to show your appreciation and recognize my free tutorial, you can do so with the "Super Thanks" button.

Thanks a lot for watching! More tutorials are coming, feel free to subscribe to my YouTube Channel!

[solomonyemidi]

Thanks for the video. More grease to your elbow

[alimontazeri]

Thank u for great videos. Can you please make a video about VECM. Thanks a a lot!

[Kamaljeet-rxjf]

when I do copy as path, I have backward slashes instead of forward slashes so the code does not run...but when I change them with forward slashes the code runs...did u do tat as well...could not see that in the video..