tidyr

How To Tidy Up Your Dataset – Exercises

2 November 2017 by Euthymios Kasvikis Leave a Comment

INTRODUCTION In general data analysis includes four parts: Data collection, Data manipulation, Data visualization and Data Conclusion or Analysis. The tidyr package is one of the most useful packages for the second category of data manipulation as tidy data is the number one factor for a succesfull analysis. Tidy data means that every column stands […]

How to tidy up your data set with tidyr

26 October 2017 by Euthymios Kasvikis 2 Comments

INTRODUCTION In general data analysis includes four parts: Data collection, Data manipulation, Data visualization and Data Insights. The tidyr package is one of the most useful packages for the second category of data manipulation as tidy data is the number one factor for a succesfull analysis. Tidy data means that every column stands for a […]

Additive Manufacturing 13 June 2022 at 13:16 on Bioinformatics Tutorial with Exercises in R (part 1)Great informative post about biostrings exercises. Thanks for sharing with us.
Fabio 6 June 2022 at 16:44 on List exercises: solutionsThanks a lot for your exercises.
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Mark 22 April 2022 at 16:00 on Advanced Techniques With Raster Data – Part 3: ExercisesWhy don't you include longitude in your GAM model?

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