813 search results for "SQL"

Why you should learn R first for data science

January 26, 2015
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Why you should learn R first for data science

Over and over, when talking with people who are starting to learn data science, there’s a frustration that comes up: I don’t know which programming language to start with.” And it’s not just programming languages, it’s also software systems like Tableau, SPSS, etc. There is an ever widening range of tools and programming languages and The post

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How to reliably access network resources in R

January 21, 2015
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How to reliably access network resources in R

It’s frustrating when an application unexpectedly dies due to a network timeout or unavailability of a network resource. Veterans of …Continue reading →

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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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Simple Data Science Of Global Warming In KDnuggets

January 20, 2015
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Simple Data Science Of Global Warming In KDnuggets

Would love to get a post from you for KDnuggets (Gregory Piatetsky, KDnuggets President) Some days ago, Gregory Piatetsky invited me to write a post for KDnuggets. I couldn’t say no. He suggested to me some topics and I decided to experiment around climate change to demonstrate how easy is to see some evidences of … Continue reading...

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R in Business Intelligence

January 18, 2015
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Business Intelligence (BI) can be simply described as extracting useful informations from the data. This is quite a broad process as the source data structure (and quality) can vary, as well the useful information structure can vary. More technically process of such transformation can be described as ETL (extract, transform, load), plus presentation of the useful information. The...

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R in Business Intelligence

January 18, 2015
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Business Intelligence (BI) can be simply described as extracting useful informations from the data. This is quite a broad process as the source data structure (and quality) can vary, as well the useful information structure can vary. More technically process of such transformation can be described as ETL (extract, transform, load), plus presentation of the useful information. The...

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How to Predict Where Will Next Disaster Strike?

January 18, 2015
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How to Predict Where Will Next Disaster Strike?

It is amusing coincidence that another MOOC that I took this week (Geospatial Intelligence & the Geospatial revolution) mentioned disasters. About the other course see my recent Disasters: Myth or the Reality post.In Geospatial Intelligence they gave a weird assignment: one need to mark the location on the world map where...

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REVIEW OF THE UNIVERSITY OF WASHINGTON DATA SCIENCE CERTIFICATE PROGRAM

January 16, 2015
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REVIEW OF THE UNIVERSITY OF WASHINGTON DATA SCIENCE CERTIFICATE PROGRAM

When I was looking for Data Science certificate programs back in 2013, there were only a few available and most had only graduated one or two cohorts. Even worse, I could not find a single review for any of them. So, this is my review of the University of Washington Data Science certificate. Background: ...

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The echo of a tragedy in Social Media – “The Making of”

January 14, 2015
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The echo of a tragedy in Social Media – “The Making of”

In this post I’m going to describe how I pull together the visualization of The echo of a tragedy in Social Media. I used 3 different technologies to pull it together: PHP for data...

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Using the microbenchmark package to compare the execution time of R expressions

January 14, 2015
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Using the microbenchmark package to compare the execution time of R expressions

I recently learned about the microbenchmark package while browsing through Hadley’s advanced R programming book. I’ve done some quick benchmarking using system.time() in a for loop and taking the average, but the microbenchmark function in the microbenchmark package makes this much easier. Hadley gives the example of taking the square root of a vector using the built-in...

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