A Practical Approach to Timeseries Forecasting Using Python - Basic Data Visualization with Single Time Series Feature

This video tutorial introduces matplotlib pyplot, a scripting layer for creating various graphs. It covers basic plotting techniques, starting with data preparation by verifying columns and setting a year range. The tutorial demonstrates extracting data for a specific country, Pakistan, using the DF.loc command. It then shows how to plot this data, initially creating a basic graph and later enhancing it by adding labels and a title. The video concludes with a preview of upcoming topics on improving graphs using mapping techniques.

What is the primary function of Matplotlib Pyplot?

• To make multiple figures and graphs

• To edit images

• To manage databases

• To create animations

How do you verify the columns in a dataset using Python?

• By using DF.list()

• By using DF.show()

• By using DF.verify()

• By using DF.columns

What range of years is used to develop the X-axis for plotting?

• 1981 to 2013

• 1980 to 2014

• 1980 to 2013

• 1981 to 2014

Which command is used to extract data for a specific country from a dataset?

• DF.loc

• DF.extract

• DF.get

• DF.find

What is the purpose of the command 'Pakistan_data.plot'?

• To delete the data

• To save the data

• To display the data

• To plot the data

What is added to a graph to make it more informative?

• Annotations

• X and Y labels, and a title

• Grid lines

• Legends

What should the Y label represent in the graph discussed?

• Years

• Population

• Number of immigrants

• Countries