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Spurious Extrapolations: Novel and unique research abstracts

Last Christmas, BMJ published a funny article exploring the mentions of positive and negative words in research abstracts over the past 40 years. I’ve recreated their research for two of the phrases below — “novel” and “unique.” Your eyes aren’t

Posted in analysis, data visualization Tagged with: , , ,

Statistical analysis made easy in Python with SciPy and pandas DataFrames

I finally got around to finishing up this tutorial on how to use pandas DataFrames and SciPy together to handle any and all of your statistical needs in Python. This is basically an amalgamation of my two previous blog posts

Posted in ipython, productivity, python, statistics, tutorial Tagged with: , , , , , , , , , , , , , , , ,

Using pandas DataFrames to process data from multiple replicate runs in Python

Per a recommendation in my previous blog post, I decided to follow up and write a short how-to on how to use pandas to process data from multiple replicate runs in Python. If you do research like mine, you’ll often

Posted in python, statistics, tutorial Tagged with: , , , , ,

A short demo on how to use IPython Notebook as a research notebook

As promised, here’s the IPython Notebook tutorial I mentioned in my introduction to IPython Notebook. Downloading and installing IPython Notebook You can download IPython Notebook with the majority of the other packages you’ll need in the Anaconda Python distribution. From

Posted in ipython, productivity, statistics, tutorial Tagged with: , , , , , , , , , , , , ,

IPython Notebook: Finally, the research notebook I’ve always been looking for is here!

I attended a Software Carpentry workshop hosted by Titus Brown and Greg Wilson this week and was introduced to, among many other things, a piece of software that I’ve been looking for ever since I started my graduate program: IPython

Posted in ipython, productivity, statistics Tagged with: , , ,

About this blog

This blog is my labor of love, and I've spent hundreds of hours working on the projects that you'll read about here. Generally, I write about data visualization and machine learning, and sometimes explore out-of-the-box projects at the intersection of the two. I hope you enjoy my projects as much as I have.

If you would like to use one of my graphs on your website or in a publication, please feel free to do so with appropriate attribution, but I would appreciate it if you email me first to let me know.

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