I’ve officially jumped on the R bandwagon. I worked on a project last year for which R turned out to be the best solution to tackling a lot of messy data (OpenRefine was not reproducible enough and let’s not even … Continue reading →

I gave a webinar recently on tools and tips for data management. While many of the themes I spoke about have been covered here previously (though you should really check out the webinar slides – they’re awesome), I realized that I … Continue reading →

If you follow me on twitter, you may have noticed a small rant the other day about how much I dislike how Excel handles dates (it’s a proven fact that Excel is terrible with dates). My beef with Excel got … Continue reading →

An important aspect of data management is performing quality control on your data. This means checking your data for errors, ensuring consistent formatting, documenting the meaning of your variables, etc. Also under the umbrella of quality control is how to … Continue reading →

I can’t tell you how happy I am to be back to this blog, talking about data. I’ve actually spent a lot of the last month writing about data issues, but for my last class of my Master’s degree in … Continue reading →