Blog Archives

RSiteCatalyst Version 1.4.7 (and 1.4.6.) Release Notes

February 1, 2016
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It seems as though I missed release notes for version RSiteCatalyst 1.4.6, so we’ll do those and RSiteCatalyst 1.4.7 (now on CRAN) and the same time… RSiteCatalyst 1.4.6 This release was mostly tweaking some settings, specifically: Adding a second `top` argument within the Queue* functions for more control on results returned. It used to be

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A Million Text Files And A Single Laptop

January 28, 2016
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A Million Text Files And A Single Laptop

More often that I would like, I receive datasets where the data has only been partially cleaned, such as the picture on the right: hundreds, thousands…even millions of tiny files. Usually when this happens, the data all have the same format (such as having being generated by sensors or other memory-constrained devices). The problem with data

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RSiteCatalyst Version 1.4.5 Release Notes

August 17, 2015
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It’s only been a month since the last RSiteCatalyst update, and this update is also a pretty minor update in terms of functionality. Set Your Own Endpoint For the overseas users (or companies with weird setups), you can now use the endpoint argument in the SCAuth() function to specify your API endpoint. For the most part, this

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Authenticated API Testing Using Travis CI

August 6, 2015
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Authenticated API Testing Using Travis CI

As I’ve become more serious about contributing in the open-source community, having quality tests for my packages has been something I’ve spent much more time on than when I was just writing quick-and-dirty code for my own purposes. My most used open-sourced package is RSiteCatalyst, which accesses the Adobe Analytics (authenticated) API, which poses a problem: how do

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Getting Started: Adobe Analytics Clickstream Data Feed

August 4, 2015
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Getting Started: Adobe Analytics Clickstream Data Feed

“Well, first you need a TMS and a three-tiered data layer, then some jQuery with a node backend to inject customer data into the page asynchronously if you want to avoid cookie-based limitations with cross-domain tracking and be Internet Explorer 4 compatible…” Blah Blah Blah. There’s a whole cottage industry around jargon-ing each other to

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RSiteCatalyst Version 1.4.4 Release Notes

July 13, 2015
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RSiteCatalyst Version 1.4.4 Release Notes

It’s been about six months since the last RSiteCatalyst update, and this update is really just a single bug fix, but a big bug fix at that! Sparse Data = Opaque Error Messages Numerous people have reported receiving an error message from RSiteCatalyst similar to the following: 'names' attribute must be the same length

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Vega.jl Rebooted – Now with 100% More Pie and Donut Charts!

May 21, 2015
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Vega.jl Rebooted – Now with 100% More Pie and Donut Charts!

          Mmmmm, chartjunk! Rebooting Vega.jl Recently, I’ve found myself without a project to hack on, and I’ve always been interested in learning more about browser-based visualization. So I decided to revive the work that John Myles White had done in building Vega.jl nearly two years ago. And since I’ll be giving

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Sessionizing Log Data Using data.table [Follow-up #2]

January 20, 2015
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Thanks to user dnlbrky, we now have a third way to accomplish sessionizing log data for any arbitrary time out period (see methods 1 and 2), this time using data.table from R along with magrittr for piping: I agree with dnlbrky in that this feels a little better than the dplyr method for heavy SQL users

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Sessionizing Log Data Using dplyr [Follow-up]

January 13, 2015
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Sessionizing Log Data Using dplyr [Follow-up]

Last week, I wrote a blog post showing how to sessionize log data using standard SQL. The main idea of that post is that if your analytics platform supports window functions (like Postgres and Hive do), you can make quick work out of sessionizing logs. Here’s the winning query:One nested sub-query and two window functions are

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RSiteCatalyst Version 1.4.3 Release Notes

January 6, 2015
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RSiteCatalyst Version 1.4.3 Release Notes

It’s a new year, so…new version of RSiteCatalyst on CRAN! For the most part, this release fixes a handful of bugs that weren’t noticed with the prior release 1.4.2 (oops!), but there are pieces of additional functionality. New functionality: Data Feed monitoring For those of you having hourly or daily data feeds delivered via FTP,

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