Programming with dplyr
|
Learn how to perform advanced dplyr transformations and incorporate dplyr and ggplot2 code in functions.
The tidyverse includes a tremendous set of packages that make working with data simple and fast. But have you ever tried to put dplyr functions inside functions and been stuck with strange errors or unexpected results? Those errors were likely due to tidy evaluation, which requires a little extra work to handle. In Programming with dplyr, you’ll be equipped with strategies for solving these errors via the rlang package. You’ll also learn other techniques for programming with dplyr using data from the World Bank and International Monetary Fund to analyze worldwide trends throughout. You’ll be a tidyverse function writing ninja by the end of the course!
User Reviews
Be the first to review “Programming with dplyr”
Related Products
Writing Efficient Code with pandas
Learn efficient techniques in pandas to optimize your Python code.
Intermediate Regular Expressions in R
Manipulate text data, analyze it and more by mastering regular expressions and string distances in R.
Excel 2016 Time and Date Function Playbook
In this course, Excel 2016 Time and Date Function Playbook, you'll learn to deal with various scenarios and actions that occur when operating on worksheets containing dates and timestamps.
Loading Data into Excel 2016
In this course, you'll go from being introduced to Microsoft Excel and its components to discovering how to load data into excel from 6 different types/sources. It is the first in a series that is designed to help you achieve mastery over Excel.
Recording and Managing Excel 2016 Macros
In this course, Recording and Managing Excel 2016 Macros, we will learn how to develop and edit macros in Excel, which will help us automate a whole host of tedious and time-consuming tasks.
Reshaping Data with tidyr
Transform almost any dataset into a tidy format to make analysis easier.
There are no reviews yet.