Packages give you access to a huge set of functions and datasets, most of which are provided by the generous R community. They are the secret sauce which makes it possible to use R for pretty much anything you can imagine. Start: buff.ly/37KP1HB #RStats #DataScience

The size of a data frame, like the number of rows/ columns, is often required and can be determined in various ways. 👉Get number of rows/columns of a data frame 👉Get dimensions of a data frame GET STARTED 👇 buff.ly/3sARz2r #RStats #DataScience

Make your first steps with the ggplot2 package to create a scatter plot. Use the grammar-of-graphics to map data set attributes to your plot and connect different layers using the + operator. Start Here: buff.ly/3Mj54eH #RStats #DataScience

#datascience quiz What can you say about predict()? a) The `new_data` arg is optional b) It returns the input, but with the predictions c) It takes `object` and `new_data` args d) Performance should be tested on training data buff.ly/39njFal #RStats #tidymodels

Master Excel file manipulation in R with openxlsx package! 🖥️📂 Want to seamlessly work with Excel files in R? Look no further! 🚀📊 openxlsx is the ultimate R package for reading, writing, and manipulating Excel files!📚✏️ buff.ly/3NB4qwO #RStats #Excel #openxlsx

📢#RStats beginners!Ever heard of the powerful setDT function from the #data.table package?It's a game-changer for large datasets!💪Convert your data frame into a lightning-fast data table with a simple call to setDT.🚀 You want to start?buff.ly/3HFFmRz #DataManipulation

Packages give you access to a huge set of functions and datasets, most of which are provided by the generous R community. They are the secret sauce which makes it possible to use R for pretty much anything you can imagine. Start: buff.ly/37KP1HB #RStats #DataScience

The size of a data frame, like the number of rows/ columns, is often required and can be determined in various ways. 👉Get number of rows/columns of a data frame 👉Get dimensions of a data frame GET STARTED 👇 buff.ly/3sARz2r #RStats #DataScience

Make your first steps with the ggplot2 package to create a scatter plot. Use the grammar-of-graphics to map data set attributes to your plot and connect different layers using the + operator. Start Here: buff.ly/3Mj54eH #RStats #DataScience

"📊 Learn to create informative and visually appealing heatmaps in R using ComplexHeatmap package! 🔥🌡️📈 Customize color schemes, add annotations, and explore complex patterns in large datasets. 🧪🔬 Workspace example:buff.ly/3paqunN #RStats#ComplexHeatmapPackage