Day 12 - Chai Time Automation Series
?? Automating Data Visualization with Python
Visualizing data is crucial for understanding trends and patterns, and automating data visualization can save time and effort. Today, we'll learn how to use Python and the seaborn library to automate data visualization tasks.
First, install the seaborn library:
pip install seaborn
Now, let's create a simple script to visualize the distribution of data from a CSV file using a box plot:
In this example, we import the necessary libraries, read the data from a CSV file, and create a box plot using Seaborn. We then customize the plot and save it as an image file.
Thank you for following the Chai Time Automation Series! We hope you've enjoyed these tutorials and gained new insights into automating tasks with Python. Automation can save you time, reduce errors, and help you focus on more important tasks. Keep exploring the world of Python and automation, and stay tuned for more exciting content from us!