A Practical Approach to Timeseries Forecasting Using Python
 - Visualize the Data

A Practical Approach to Timeseries Forecasting Using Python - Visualize the Data

Assessment

Interactive Video

Information Technology (IT), Architecture, Social Studies

University

Practice Problem

Hard

Created by

Wayground Content

FREE Resource

The video tutorial covers using matplotlib to visualize COVID-19 data, focusing on confirmed cases and deaths. It explains how to set up plots with specific attributes like figure size, DPI, and colors. The tutorial also demonstrates plotting multiple data columns in a single line plot to analyze relationships between confirmed, cured, and death cases. The video concludes with a brief mention of using area plots for further analysis in a subsequent video.

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3 questions

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1.

OPEN ENDED QUESTION

3 mins • 1 pt

How do you set the face color and edge color in the plot?

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2.

OPEN ENDED QUESTION

3 mins • 1 pt

What is the maximum number of deaths visualized in the plot?

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3.

OPEN ENDED QUESTION

3 mins • 1 pt

What is the relationship between cured cases and confirmed cases based on the visualization?

Evaluate responses using AI:

OFF

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