Describe and Summarise your data

Describe and Summarise your data

Assessment

Interactive Video

Information Technology (IT), Architecture

University

Hard

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This video tutorial is part of a series on data handling, focusing on describing and summarizing data. It covers statistical parameters for numeric variables, creating tables for data summarization, and using R packages like Tidyverse. The tutorial also demonstrates how to create contingency tables and use pipe operators for efficient data manipulation.

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4 questions

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1.

OPEN ENDED QUESTION

3 mins • 1 pt

What is the significance of the interquartile range in summarizing data?

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2.

OPEN ENDED QUESTION

3 mins • 1 pt

What are the advantages of using the tidyverse for data manipulation compared to base R?

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3.

OPEN ENDED QUESTION

3 mins • 1 pt

Explain the process of creating a summary table using the tidyverse.

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4.

OPEN ENDED QUESTION

3 mins • 1 pt

How does the pivot_wider function work in transforming data?

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