Tag: Excel

Feed: R-bloggers. Author: Dario Radečić. R and Excel go together like macaroni and cheese. There’s no need to choose one over the other, as there are numerous packages and extensions that allow them to work together. Just because you have an xlsx file doesn’t mean you can’t analyze it with R. Likewise, you can write R code to populate and manipulate Excel spreadsheets. Today you’ll get a grasp of two tools used to manage communication between R and Excel. These are readxl and Bert. The first one is an R package used to read and manipulate Excel files, while the ... Read More

Feed: Microsoft Power BI Blog | Microsoft Power BI. Author: . We’re excited that over the coming weeks, you will see us improve the Analyze in Excel experience in the Power BI service. By making these changes, we’re eliminating steps and making it easier to open the saved Excel workbook. What is the current experience and why do we need to make a change?  Today, when you click the Analyze in Excel button on a Power BI dataset or report, the generated Excel workbook is downloaded to your local Downloads folder. However, opening the file won’t work unless the user has the Analysis Services ... Read More

Feed: Microsoft Power BI Blog | Microsoft Power BI. Author: . We are excited to announce improvements to the Power BI activity logs that would help organizations gain insights on users connecting to Power BI datasets from Excel. With these improvements, admins can now track the usage of Power BI datasets in Excel, helping organizations improve data governance or fulfill regulatory compliance. Prerequisites To access the Power BI activity log, you must meet these requirements: Be a global admin or a Power BI administrator Install the Power BI Management cmdlets locally or use the Power BI management cmdlets in Azure ... Read More

Feed: R-bloggers. Author: finnstats. The post Export Data Frames into Multiple Excel Sheets in R appeared first on finnstats. If you want to read the original article, click here Export Data Frames into Multiple Excel Sheets in R. Export Data Frames into Multiple Excel Sheets in R, To export numerous data frames from R to multiple Excel worksheets, use the following basic syntax. How to calculate Scheffe’s Test in R » finnstats library(openxlsx) names <- list('Sheet1' = df1, 'Sheet2' = df2, 'Sheet3' = df3) write.xlsx(names, file = 'data.xlsx') Export Data Frames into Multiple Excel Sheets in R The example below ... Read More

Feed: Top Blog Posts. Author: Vincent Granville. In this article, I present a few modern techniques that have been used in various business contexts, comparing performance with traditional methods. The advanced techniques in question are math-free, innovative, efficiently process large amounts of unstructured data, and are robust and scalable. Implementations in Python, R, Julia and Perl are provided, but here we focus on an Excel version that does not even require any Excel macros, coding, plug-ins, or anything other than the most basic version of Excel. It is actually easily implemented in standard, basic SQL too, and we invite  readers ... Read More

Feed: Top Blog Posts. Author: Vincent Granville. In this article, I present a few modern techniques that have been used in various business contexts, comparing performance with traditional methods. The advanced techniques in question are math-free, innovative, efficiently process large amounts of unstructured data, and are robust and scalable. Implementations in Python, R, Julia and Perl are provided, but here we focus on an Excel version that does not even require any Excel macros, coding, plug-ins, or anything other than the most basic version of Excel. It is actually easily implemented in standard, basic SQL too, and we invite  readers ... Read More

Feed: Top Blog Posts. Author: Vincent Granville. In this article, I present a few modern techniques that have been used in various business contexts, comparing performance with traditional methods. The advanced techniques in question are math-free, innovative, efficiently process large amounts of unstructured data, and are robust and scalable. Implementations in Python, R, Julia and Perl are provided, but here we focus on an Excel version that does not even require any Excel macros, coding, plug-ins, or anything other than the most basic version of Excel. It is actually easily implemented in standard, basic SQL too, and we invite  readers ... Read More

Feed: Top Blog Posts. Author: Vincent Granville. In this article, I present a few modern techniques that have been used in various business contexts, comparing performance with traditional methods. The advanced techniques in question are math-free, innovative, efficiently process large amounts of unstructured data, and are robust and scalable. Implementations in Python, R, Julia and Perl are provided, but here we focus on an Excel version that does not even require any Excel macros, coding, plug-ins, or anything other than the most basic version of Excel. It is actually easily implemented in standard, basic SQL too, and we invite  readers ... Read More

Feed: Top Blog Posts. Author: Vincent Granville. In this article, I present a few modern techniques that have been used in various business contexts, comparing performance with traditional methods. The advanced techniques in question are math-free, innovative, efficiently process large amounts of unstructured data, and are robust and scalable. Implementations in Python, R, Julia and Perl are provided, but here we focus on an Excel version that does not even require any Excel macros, coding, plug-ins, or anything other than the most basic version of Excel. It is actually easily implemented in standard, basic SQL too, and we invite  readers ... Read More

Feed: Top Blog Posts. Author: Vincent Granville. In this article, I present a few modern techniques that have been used in various business contexts, comparing performance with traditional methods. The advanced techniques in question are math-free, innovative, efficiently process large amounts of unstructured data, and are robust and scalable. Implementations in Python, R, Julia and Perl are provided, but here we focus on an Excel version that does not even require any Excel macros, coding, plug-ins, or anything other than the most basic version of Excel. It is actually easily implemented in standard, basic SQL too, and we invite  readers ... Read More