No Clocks

An R caching layer. Contribute to robertzk/cachemeifyoucan development by creating an account on GitHub.

A thorough overview of what you can do with external data: import and refresh, shape it with Power Query, secure it, define connections and properties.

Simplified R caching for reproducible big data projects - databio/simpleCache

iⁿ methodology for testing spreadsheets, conclusion

:recycle: R package: R.cache - Fast and Light-weight Caching (Memoization) of Objects and Results to Speed Up Computations - HenrikBengtsson/R.cache

If you want access the newest Microsoft Office features, you can download the Insider version. This version of Microsoft Office acts as the first public testing grounds for all of the fresh features that have been cooked up over in Redmond. Learn how you can get setup with the Insider Version of Off

A set of tools for datasets and plots archiving. Contribute to pbiecek/archivist development by creating an account on GitHub.

Many companies are still managed with Excel spreadsheets. This can result in catastrophic miscalculations. It's time to learn about some alternatives.

Parallel Processing in R using a Thread Pool. Contribute to rdpeng/threadpool development by creating an account on GitHub.

Excel is great, but trying to figure it out how to use Excel on your own can get you only so far because it isn’t intuitive. But if you use the techniques and tips in this tutorial, you’ll be able...

Explore the concept of Data Analytics with R, Tableau and Excel. Also, understand the features, applications and working of these tools.

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.