Description
What you’ll learn
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Perform Data Preparation in R
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Identify missing records in dataframes
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Locate missing data in your dataframes
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Apply the Median Imputation method to replace missing records
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Apply the Factual Analysis method to replace missing records
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Understand how to use the which() function
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Know how to reset the dataframe index
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Work with the gsub() and sub() functions for replacing strings
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Explain why NA is a third type of logical constant
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Deal with date-times in R
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Convert date-times into POSIXct time format
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Create, use, append, modify, rename, access and subset Lists in R
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Understand when to use [] and when to use [[]] or the $ sign when working with Lists
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Create a timeseries plot in R
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Understand how the Apply family of functions works
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Recreate an apply statement with a for() loop
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Use apply() when working with matrices
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Use lapply() and sapply() when working with lists and vectors
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Add your own functions into apply statements
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Nest apply(), lapply() and sapply() functions within each other
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Use the which.max() and which.min() functions
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