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This tour shows how to create and execute Excel workflows with Spreadsheet Router.

Unlock Excel's most powerful features with these advanced pivot table tips and tricks that will help you master pivot tables and become a data ninja!

:zap::computer::zap: R client for the Lightning Memory-Mapped Database - richfitz/thor

When working on large and complicated financial models in Microsoft Excel, it can be quite challenging to document them clearly for the users’ ease of use and understandability. We will discuss here several Excel models best practices and other useful tips and tricks that users can apply to maintain and audit your

:package: Object cacher for R. Contribute to richfitz/storr development by creating an account on GitHub.

We list 10 most useful Excel Project Management Templates that will help you with Tracking. Excel allows you to calculate data with formulas, use graphing tools, build charts, create macros and design pivot tables.

Install R packages from snapshots on checkpoint-server - RevolutionAnalytics/checkpoint

If you’re using Excel to collect, analyze, and interpret business data, you may be running into limitations that stop you from performing advanced, reproducible analysis. Speed up, automate, and validate your reporting and analytics with R, the po...

An R package for managing and seamlessly switching between sets of installed R packages. - gmbecker/switchr

Learn five ways to leverage Microsoft Excel spreadsheets for more effective data management and data visualization tools to drive better decisions.

Reproducible R Scripts Via Version-Specific CRAN-Package Storing and Loading - CredibilityLab/groundhog

Spreadsheet softwares allow us to analyse large amount of data to get new insights on process or business. We all have tons of…

Rbundler manages a project-specific library for dependency package installation. By specifying dependencies in a DESCRIPTION file in a project's root directory, one may install and use dependencies in a repeatable fashion without requiring manual maintenance. rbundler creates a project-specific R library in 'PROJECT_ROOT/.Rbundle' (by default) and a project-specific 'R_LIBS_USER' value, set in 'PROJECT_ROOT/.Renviron'. It supports dependency management for R standard "Depends", "Imports", "Suggests", and "LinkingTo" package dependencies. rbundler also attempts to validate and install versio...

Be more productive with Microsoft Excel with these Excel tips and tricks. Take the data in your spreadsheet to the next level.

R package to create internally consistent, mini version of CRAN - andrie/miniCRAN

Excel Best Practices. Efficient Excel Spreadsheet Designs in Excel Spreadsheets

The Data-Centered Data Flow manager for R. Contribute to franapoli/repo development by creating an account on GitHub.

Even if you're no spreadsheet expert you can benefit from these awesome tricks and hacks.

Chapter 1. Reducing Workbook and Worksheet Frustration Hacks 1–16 Excel users know that workbooks are a powerful metaphor. But many users are equally aware that dealing with workbooks can cause … - Selection from Excel Hacks, 2nd Edition [Book]

Robust and efficient workflows using a simple language agnostic approach - sahilseth/flowr

Searching for Excel macros? Here are five sites that have got what you're looking for.

Want to learn some cool Excel tips? You have come to the right place! This blog post has 25 tips to help you become more productive and efficient using Excel.

A simple system for saving and loading objects in R. Long running computations can be stashed after the first run and then reloaded the next time. Dependencies can be added to ensure that a computation is re-run if any of its dependencies or inputs have changed.

Run R CMD check on any of the R-hub () architectures, from the command line. The current architectures include Windows, macOS, Solaris and various Linux distributions.

This guide is part of a series on setting up your own private server running shiny apps. There are many guides out there with great advice on how to set up an R shiny server and related software. I try to make a comprehensive guide based in part on the...

You can now use your proprietary R packages in your shinyapps.io environment. To do so, your package does need to be hosted on in a private github repository (public github repositories have alway...