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 […]

Han de Vries 3 August 2019 at 12:56 on Melt and Cast The Shape of Your Data-Frame: ExercisesHi Neha, thanks for your question. Great to see you're practicing R with these exercises!To answer your question: No there...
neha mishra 3 August 2019 at 10:00 on Melt and Cast The Shape of Your Data-Frame: ExercisesIs there any link to download the data used in the exercise.
Kaikai 26 July 2019 at 10:17 on Summary Statistics With Aggregate() SolutionsHi, Could someone explain the result for me ? esp. "nfrequency = 1" ??? Thanks a lot..... aggregate(AirPassengers, nfrequency =...
ewdfwe 24 July 2019 at 08:08 on Beyond the basics of data.table: Smooth data explorationNot found, error 404 for description of data file. This is necessary to answer question 7.
Venkat 18 July 2019 at 21:49 on Loops in R – ExercisesI need to know how we can find prime numbers in between 1:100 using While Loop in R. Also need...

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