What is the purpose of using the value counts method for categorical features?
Python for Data Analysis: Step-By-Step with Projects - Distribution of One Feature
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Information Technology (IT), Architecture, Social Studies
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This lesson covers data visualization techniques for exploring the distribution of numerical and categorical features. It introduces methods like describe, histograms, box plots, and KDE plots for numerical data, and value counts and bar plots for categorical data. The lesson emphasizes understanding data distributions and the importance of visualizations in data analysis.
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4 questions
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1.
OPEN ENDED QUESTION
3 mins • 1 pt
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2.
OPEN ENDED QUESTION
3 mins • 1 pt
How can we visualize the distribution of categorical data?
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3.
OPEN ENDED QUESTION
3 mins • 1 pt
What are the limitations of the plots created by the Pandas library?
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4.
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3 mins • 1 pt
What will be covered in the next lesson regarding data visualization?
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