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[TutorialPace.com] [DataCamp] Writing Efficient R Code - [TP]
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The beauty of R is that it is built for performing data analysis. The downside is that sometimes R can be slow, thereby obstructing our analysis. For this reason, it is essential to become familiar with the main techniques for speeding up your analysis, so you can reduce computational time and get insights as quickly as possible.
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FILE LIST
Filename
Size
01_The art of benchmarking/01_Welcome.mp4
7.4 MB
01_The art of benchmarking/02_Benchmarking.mp4
12.3 MB
01_The art of benchmarking/03_How goood is your machine.mp4
7.6 MB
02_Fine tuning efficient base R/04_Memory allocation.mp4
8.4 MB
02_Fine tuning efficient base R/05_Importance of vectorizing your code.mp4
5.9 MB
02_Fine tuning efficient base R/06_Data frames and matrices.mp4
7.1 MB
03_Diagnosing problems code profiling/07_What is code profiling.mp4
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