Sometimes during our data analysis process, we might need to quickly generate or modify data stored as txt files. In this tutorial we will learn how to programmatically create text files in your file system and append text to them using the R language. Create a text file We can use the file.create() method to … Read more
In this tutorial we will learn how to subset an R DataFrame (or tibble) by multiple conditions. The simplest way to do this is to use the tidyverse package and its core component dplyr. Create an R Example DataFrame Let’s first import the tidyverse package into RStudio and create a simple R DataFrame that we … Read more
Today we will learn how to fix error messages that you could find in your R development tool such as RStudio, Jupyter and others, when trying to invoke the tidyverse library without it being installed. Understanding the error Error in library(tidyverse) : there is no package called ‘tidyverse’ Here’s a screenshot from the RStudio Console … Read more
In this Data Analysis tutorial we will learn how to find an subset R DataFrame rows containing empty values. We will first define a random R DataFrame. Note that the vectors include empty / missing values (NA). Here’s our data: var1 var2 1 NA 71 2 165 NA 3 165 54 4 140 NA 5 … Read more
Once you acquire your Data set, most probably you will need to tweak your variable (columns) naming convention. In this tutorial we will learn how to rename R DataFrame columns by leveraging the base capabilities of R and also look into dplyr features for renaming columns. Create R DataFrame We’ll get started by creating an … Read more
Often times after importing a DataFrame you’ll want to replace zero values to empty or missing (NA) values in your DataFrame column cells. In this tutorial we will look into several practical examples of this. Create example R DataFrame We will start by defining some fictitious data that includes several cells with missing values. Feel … Read more
In this Data Analysis tutorial we will show you how to extract and display the first (or first N) rows of your R DataFrame. Create an example DataFrame Here’s our DataFrame: x y z 1 11 121 0.8880760 2 12 144 0.9362028 3 13 169 0.9658193 4 14 196 0.9827430 5 15 225 0.9917690 Get … Read more
When data wrangling, we are often in need of deriving different date formats our of datetime objects in our DataFrame. In this tutorial we will learn how how we can add new columns containing the the week day number and name out our a date column in our DataFrame. Create Example DataFrame First we will … Read more
In this short tutorial we’ll examine how you can use Base R and the dplyr library to remove the last (or multiple n last columns) of your DataFrame. Let’s start by building a simple R DataFrame from multiple vectors: This will return: [1] “city” “direct” “online” “partners” Remove DataFrame last column with Base R We … Read more
In today’s tutorial we will learn to troubleshoot a common error which you might encounter in RStudio, Jupyter Notebook or other R development environment when trying to use a 3rd party package. Reproducing the no package called dplyr error Here’s a screenshot of the error on RStudio: Solving the error Let us first understand the … Read more