Data Analytics using Python Visualizations - Creating Simple and Multiple Line Plots

Data Analytics using Python Visualizations - Creating Simple and Multiple Line Plots

Assessment

Interactive Video

Computers

9th - 10th Grade

Hard

Created by

Quizizz Content

FREE Resource

This video tutorial explores key concepts in Bokeh visualization, including plots, glyphs, models, and renderers. It provides practical examples of creating various plot types, such as line plots, bar charts, and scatter plots, on a single layout. The tutorial emphasizes the simplicity and flexibility of Bokeh's plotting interface, encouraging viewers to experiment with different functions and arguments to enhance their understanding.

Read more

7 questions

Show all answers

1.

OPEN ENDED QUESTION

3 mins • 1 pt

What are the key concepts that are introduced in the video regarding bouquet visualization?

Evaluate responses using AI:

OFF

2.

OPEN ENDED QUESTION

3 mins • 1 pt

Explain the role of glyphs in bouquet plots.

Evaluate responses using AI:

OFF

3.

OPEN ENDED QUESTION

3 mins • 1 pt

What is the purpose of the bouquet application in generating bouquet documents?

Evaluate responses using AI:

OFF

4.

OPEN ENDED QUESTION

3 mins • 1 pt

Describe how widgets contribute to interactivity in bouquet plots.

Evaluate responses using AI:

OFF

5.

OPEN ENDED QUESTION

3 mins • 1 pt

What are the steps to create a line plot in bouquet visualization?

Evaluate responses using AI:

OFF

6.

OPEN ENDED QUESTION

3 mins • 1 pt

How does the VBar function differ from the line plot function in bouquet?

Evaluate responses using AI:

OFF

7.

OPEN ENDED QUESTION

3 mins • 1 pt

What parameters are required to create a scatter plot in bouquet visualization?

Evaluate responses using AI:

OFF