Data Analytics using Python Visualizations - Creating Bubble Plots - Vectorizing Your Plot

This video tutorial explains how to parameterize data in Bokeh plots, focusing on creating circle plots with varying sizes based on population data. It uses the Gapminder dataset filtered for the year 2007, demonstrating how to set up a Bokeh figure, plot GDP per capita on the X-axis, and life expectancy on the Y-axis. The tutorial covers adjusting circle sizes using the population data, ensuring larger populations have bigger circles. It concludes by encouraging viewers to explore and customize the parameters used.

What dataset is used in the video to demonstrate parameterizing data in Bokeh plots?

• Gapminder Dataset

• UN Data

• World Bank Dataset

• OECD Dataset

Which year is the data filtered for in the practical example?

• 2007

• 2010

• 2015

• 2005

In the Bokeh plot, what data is used for the X-axis?

• Life expectancy

• Continent

• GDP per capita

• Population

How is the size of the circles in the plot determined?

• By the number of countries

• By the population

• By the life expectancy

• By the GDP per capita

What is the purpose of the alpha parameter in the plot?

• To change the line color

• To control the transparency

• To adjust the circle size

• To set the plot title