A Practical Approach to Timeseries Forecasting Using Python
 - Data Visualization with Customized Features Selection

A Practical Approach to Timeseries Forecasting Using Python - Data Visualization with Customized Features Selection

Assessment

Interactive Video

Information Technology (IT), Architecture, Social Studies, Geography, Science

University

Hard

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The video tutorial explains how to sort a dataframe of countries by population in descending order, display the top five countries, transpose the data, and plot it using a line graph. The tutorial also covers setting the index as an integer and provides a preview of upcoming topics like area plots and histograms.

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7 questions

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1.

OPEN ENDED QUESTION

3 mins • 1 pt

What is the first step to plot countries with the most population?

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2.

OPEN ENDED QUESTION

3 mins • 1 pt

How do you sort the data frame to get the countries in descending order?

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3.

OPEN ENDED QUESTION

3 mins • 1 pt

What command is used to show the top five countries from the data frame?

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4.

OPEN ENDED QUESTION

3 mins • 1 pt

What is the purpose of taking the transpose of the data frame?

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5.

OPEN ENDED QUESTION

3 mins • 1 pt

What parameters are set when plotting the data for the top five countries?

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6.

OPEN ENDED QUESTION

3 mins • 1 pt

Which countries were identified as the top five in the analysis?

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7.

OPEN ENDED QUESTION

3 mins • 1 pt

What types of graphs are mentioned for future discussion?

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