Data Science and Machine Learning (Theory and Projects) A to Z - Pandas for Data Manipulation: Pandas Practice-Using COV

Data Science and Machine Learning (Theory and Projects) A to Z - Pandas for Data Manipulation: Pandas Practice-Using COV

Assessment

Interactive Video

Information Technology (IT), Architecture, Social Studies

University

Hard

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The video tutorial covers data analysis using pandas, focusing on grouping and filtering data in a DataFrame. It explains how to group data by country and date to analyze trends in confirmed, death, and recovered cases. The tutorial also demonstrates filtering records based on conditions, such as confirmed cases exceeding 100. The session concludes with a brief introduction to Matplotlib for data visualization, highlighting the importance of visual insights in data analysis.

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3 questions

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1.

OPEN ENDED QUESTION

3 mins • 1 pt

Describe the process of filtering records based on confirmed cases in pandas.

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2.

OPEN ENDED QUESTION

3 mins • 1 pt

What is the significance of visualizing data using Matplotlib?

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3.

OPEN ENDED QUESTION

3 mins • 1 pt

What are some limitations of visualizing high-dimensional data?

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