EDA Python - 19-Pandas_3

EDA Python - 19-Pandas_3

Assessment

Interactive Video

Information Technology (IT), Architecture, Social Studies

University

Hard

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The video tutorial covers data analysis using Python, focusing on loading, cleaning, and transforming data with pandas. It demonstrates how to use pivot tables for data transformation and create visualizations using both pandas and Matplotlib. The tutorial also includes specific analysis of COVID-19 data, particularly focusing on the UK and top five countries by case count. It concludes with efficient methods for loading and saving data.

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4 questions

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1.

OPEN ENDED QUESTION

3 mins • 1 pt

Explain how to set the date reported as the index in a DataFrame.

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2.

OPEN ENDED QUESTION

3 mins • 1 pt

How can you visualize the percentage change in new cases over time?

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3.

OPEN ENDED QUESTION

3 mins • 1 pt

What is the method to calculate the mortality rate from cumulative deaths and cases?

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4.

OPEN ENDED QUESTION

3 mins • 1 pt

What is the process to save a DataFrame to a CSV file after processing?

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