Create Professional Reports in Excel using R and XLSX

While R is the real workhorse of data analysis and modeling, if you want to share the results of your work with other people your probably going to send it in a spreadsheet. Luckily the xlsx package for R makes it easy to export simple spreadsheets and also has advanced functionality to create workbooks with professional design and formatting.

CRISP-DM in depth: modeling

Once the data preparation phase is complete, its time to move on to the fun part of the CRISP-DM framework: modeling. Here you’ll chose which modeling technique to use, create some tests to assess the accuracy of your model, build the model, and then assess the model using the tests you created.

Scheduling R scripts to run automatically in Windows

A key component in data acquisition or reporting is the ability to trigger your script to run at a set time each day. Whether you are attempting to download the latest stock prices or update corporate earnings reports, once you’ve created the script to do the actual work, you need to find a way for it to be run on the correct schedule.

CRISP-DM in depth: data preparation

After developing business understanding and data understanding, the next big objective in the CRISP-DM methodology is to prepare the data for modelling and analysis. This involves selecting, cleaning and transforming the data which will be used for the project. While this isn’t flashy work, it typically accounts for 60% to 80% of the effort for a project.

Advanced email in R: embedding images and markdown

Previously we looked at how you can combine R and Markdown to create reports directly from your R scripts, and also how to send email from R using Microsoft Outlook. In this post, we’ll take these concepts a step further and look at how we can use R to embed images in email messages or even use Markdown to create entire messages.