Python In Practice - 15 Projects to Master Python - Data Visualization - Data Science Project 1

The video tutorial covers data visualization using Matplotlib, focusing on plotting data with PD and PLT functions. It addresses error handling and demonstrates creating and running code cells for separate graphs. The session concludes with finalizing a report that includes data analysis and visualization.

What module is used for plotting data in this tutorial?

• Seaborn

• Matplotlib

• Pandas

• NumPy

What is the purpose of labeling the axes in a plot?

• To provide context and meaning to the data

• To change the color of the plot

• To add more data points

• To increase the size of the plot

What common error is mentioned when plotting data?

• Using an undefined variable name

• Forgetting to import a library

• Using the wrong data type

• Incorrect file path

Why is it beneficial to separate code into different cells?

• To reduce the number of lines of code

• To avoid using too much memory

• To organize and manage different parts of the code more effectively

• To make the code run faster

What tasks were completed in the final section of the tutorial?

• Data sorting and filtering

• Data encryption and decryption

• Data collection and storage

• Data cleansing, analysis, and visualization