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10 data filtering tips using R programming. Use the tidyverse to filter and subset your data.

10 data filtering tips using R programming. Use the tidyverse to filter and subset your data.

Assessment

Interactive Video

Information Technology (IT), Architecture

University

Practice Problem

Hard

Created by

Wayground Content

FREE Resource

The video tutorial explains how to filter data in R using the tidyverse package. It covers basic and advanced filtering techniques, including using multiple criteria, OR logic, concatenation, and handling missing values. The tutorial provides practical examples to demonstrate each method, helping viewers understand how to effectively filter data sets in R.

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3 questions

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1.

OPEN ENDED QUESTION

3 mins • 1 pt

What is the difference between using 'and' and 'or' in filter conditions?

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2.

OPEN ENDED QUESTION

3 mins • 1 pt

How can you filter observations based on a range of values?

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3.

OPEN ENDED QUESTION

3 mins • 1 pt

Describe how to filter for missing values in a dataset.

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OFF

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