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I’ve written several posts about the Adobe Analytics Analytics (née Clickstream) Data Feed (links: 1,2,3) over the past several years. The Analytics Data Feed is an invaluable tool for moving beyond aggregate-level reporting information about your c... [Read more...]

Preliminars Usually (mainly at work) I made a chart and when I present it nobody cares about the style, if the chart comes from an excel spreadsheet, paint or intercative chart, or colors, labels, font, or things I like to care. That’s sad f... [Read more...]

The acquisition of data in json structure presented in part 1 clearly showed the functioning of the client-server connection and the possibility to collect the data of interest. However, the json output appeares as a set of raw data in a json string that needs to be structured and stored in ... [Read more...]

After the short presentation here, let’s start using R seriously, i.e. with every day data. Being a frequent flyer, I often search the web to book flights and organise my trip. Being a data analyst, it’s natural to look at price data with interest, especially the most ... [Read more...]

I haven't been admitted to hospital many times in my life, but every time the only thing I really cared about was: when am I going to get out? It's also a question that weighs heavily on hospital managers: by knowing ahead of time how long each patient's stay is ... [Read more...]

If you make the error which I did, you will try to use the data (say, “pckgdata”) from another package (say, “pckg”) naively like this: This will result in an error: Here is the solution (thanks to the comments from stackexchange: [Read more...]

Introduction In this post I create RMarkdown templates for end-to-end analysis of IPL T20 matches, that are available on Cricsheet based on my R package yorkr.  With these templates you can convert all IPL data which is in yaml format to R dataframes. Further I create data and the necessary ... [Read more...]

R is a vector-oriented language and most of the things you do in R is optimised for that, but what if you need something less typical… What if you need to find a specific element in a dataset? There are a lot of options to do that in R, but ... [Read more...]

While representation of women and minorities at last year's useR! conference was the highest it's ever been, there is always room for more diversity. To encourage more underrepresented individuals to attend, the useR! committee has taken several steps, including asking attendees to adhere to a supportive code of conduct and ... [Read more...]

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What is OpenML? Conducting research openly and reproducibly is becoming the gold standard in academic research. Practicing open and reproducible research, however, is hard. OpenML.org (Open Machine Learning) is an online platform that aims at making t... [Read more...]

Euler Problem 14 looks at the Collatz Conjecture. These playful sequences, named after German mathematician Lothar Collatz (1910–1990), cause mathematicians a lot of headaches. This video introduces the problem much better than I can describe it. Euler Problem 14 Definition The following iterative … Continue reading → The post Euler Problem 14: Longest Collatz Sequence appeared ... [Read more...]

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The match() function returns a vector of the position of first occurrence of the vector1 in vector2. If the element of the vector1 does not exist in vector2, NA is returned. [Read more...]

R’s model formula infrastructure was discussed in my previous post. Despite the elegance and convenience of the formula method, there are some aspects that are limiting. Limitations to Extensibility The model formula interface does have some limitations: It can be kludgy with many operations on many variables (e.g., ... [Read more...]

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When there is increased social activity, trash cans can get full quicker. On the contrary, during very cold weather, trash cans can take one or a couple of more days to get full. Therefore, knowing when trash cans are full is important to pick them up right away rather than ... [Read more...]

In this tutorials sequence, we are going to see three tricks to do the following in a Shiny app: Add Next and Previous buttons to navigate in a tabBox Build a non completely collapsible sidebar to keep the icon visible on collapse Add button on a datatable output to delete/... [Read more...]

Explore the intersection of concepts like dimension reduction, clustering, data preparation, PCA, HDBSCAN, k-NN, SOM, deep learning...and Carl Sagan! [Read more...]