A Practical Approach to Timeseries Forecasting Using Python
 - Data Visualization Line Plots

A Practical Approach to Timeseries Forecasting Using Python - Data Visualization Line Plots

Assessment

Interactive Video

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Quizizz Content

Information Technology (IT), Architecture

University

Hard

The video tutorial demonstrates how to use matplotlib to plot stock data. It covers setting up the plotting environment, configuring plots with specific settings like figure size, face color, and edge color, and plotting multiple columns of stock data. The tutorial also explains how to set the date as an index for line plots and how to display the plots with appropriate titles and labels. Additionally, it discusses plotting specific columns like volume and using different plot types such as line and area plots.

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3 questions

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1.

OPEN ENDED QUESTION

3 mins • 1 pt

What type of plot is created after ensuring the date is set as an index?

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2.

OPEN ENDED QUESTION

3 mins • 1 pt

What title is given to the line plot of Microsoft stocks?

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3.

OPEN ENDED QUESTION

3 mins • 1 pt

What is the final plot that is mentioned to be created in the text?

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OFF