Category: R for Power BI

The Most Powerful Function Call In Power BI

The Most Powerful Function Call In Power BI - Enterprise DNA

Power BI is a powerful data visualization and business intelligence tool that allows users to connect to various data sources, create interactive reports and dashboards, and share them with others. In today’s blog, we will be exploring the most powerful function call in Power BI. This function call will greatly enhance the capabilities of Power BI

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Creating A Jitter Plot Using ggplot2 In RStudio

Creating A Jitter Plot Using ggplot2 In RStudio - Enterprise DNA

The ggplot2 package is the most comprehensive way of building graphs and plots. Firms, like the New York Times and The Economist, are heavily using ggplot2 to create their visualizations. With big companies using this tool, it’s important to have a knowledge base on how to use ggplot2 to create visualizations such as the jitter

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How To Save & Load An RDS File In R

How To Save & Load An RDS File In R - Enterprise DNA

R is a popular programming language for data analysis, and it’s often used to create and manipulate data objects. RDS (R Data Serialization) files are a common format for saving R objects in RStudio, and they allow you to preserve the state of an object between R sessions. Saving your R object as an RDS

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How To Create A Lollipop Plot In RStudio

How To Create A Lollipop Plot In RStudio - Enterprise DNA

A lollipop plot, also known as a dumbbell plot, is a data visualization technique that combines a scatter plot and a bar chart to display the distribution of a single numerical variable. It is used to display the changes in a single variable over time or across different groups. The plot consists of a scatter

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Evaluating & Optimizing Code Performance In R

Evaluating & Optimizing Code Performance In R - Enterprise DNA

Optimizing R code can significantly improve the performance of R scripts and programs, making them run more efficiently. This is especially important for large and complex data sets, as well as for applications that need to be run in real-time or on a regular basis. In this RStudio tutorial, we’ll evaluate and optimize an R

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