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
Data Manipulation with data.table in R
Master core concepts about data manipulation such as filtering, selecting and calculating groupwise statistics using data.table.
Intermediate Regular Expressions in R
Manipulate text data, analyze it and more by mastering regular expressions and string distances in R.
Excel 2016 Data Lookup Function Playbook
In this course you'll learn 5 different functions that'll help you to quickly and efficiently look up required data in Microsoft Excel.
Pandas Joins for Spreadsheet Users
Learn how to effectively and efficiently join datasets in tabular format using the Python Pandas library.
Writing Efficient Code with pandas
Learn efficient techniques in pandas to optimize your Python code.
Data Manipulation in Julia
Master the essential skills of data manipulation in Julia. Learn how to inspect, transform, group, and visualize DataFrames using real-world datasets.
There are no reviews yet.