EDA Python - 18-Pandas_2

EDA Python - 18-Pandas_2

Assessment

Interactive Video

Information Technology (IT), Architecture

University

Hard

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The video tutorial covers analyzing WHO COVID-19 data using Python libraries like Seaborn, NumPy, Pandas, and Matplotlib. It demonstrates loading and cleaning data, converting data types, and creating visualizations. The tutorial also explores sorting, reindexing, and working with time series data. It concludes with plotting examples using both Seaborn and Pandas, focusing on COVID-19 cases and deaths in the US and UK.

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4 questions

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1.

OPEN ENDED QUESTION

3 mins • 1 pt

What method is used to sort the data by new deaths, and how is the order specified?

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2.

OPEN ENDED QUESTION

3 mins • 1 pt

How can you filter the dataset to show only the data for a specific date range?

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3.

OPEN ENDED QUESTION

3 mins • 1 pt

What is the purpose of creating a new column called 'weekday' in the dataset?

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4.

OPEN ENDED QUESTION

3 mins • 1 pt

Describe the process of plotting daily COVID-19 deaths for both the US and the UK.

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