The Top 7 Beautiful Data Blog Posts in 2014

January 3, 2015
By

(This article was first published on Beautiful Data » R, and kindly contributed to R-bloggers)

2014 was a great year in data science – and also an exciting year for me personally from a very inspirational Strata Conference in Santa Clara to a wonderful experience of speaking at PyData Berlin to founding the data visualization company DataLion. But it also was a great year blogging about data science. Here’s the Beautiful Data blog posts our readers seemed to like the most:

  1. Datalicious Notebookmania – My personal list of the 7 IPython notebooks I like the most. Some of them are great for novices, some can even be challenging for advanced statisticians and datascientists
  2. Trending Topics at Strata Conferences 2011-2014 – An analysis of the topics most frequently mentioned in Strata Conference abstracts that clearly shows the rising importance of Python, IPython and Pandas.
  3. Big Data Investment Map 2014 – I’ve been tracking and analysing the developments in Big Data investments and IPOs for quite a long time. This was the 2014 update of the network mapping the investments of VCs in Big Data companies.
  4. Analyzing VC investment strategies with Crunchbase data – This blog post explains the code used to create the network.
  5. How to create a location graph from the Foursquare API – In this post, I explain a way to make sense out of the Foursquare API and to create geospatial network visualizations from the data showing how locations in a city are connected via Foursquare checkins.
  6. Text-Mining the DLD Conference 2014 – A very similar approach as I used for the Strata conference has been applied to the Twitter corpus refering to Hubert Burda Media DLD conference showing the trending topics in tech and media.
  7. Identifying trends in the German Google n-grams corpus – This tutorial shows how to analyze Big data-sets such as the Google Book ngram corpus with Hive on the Amazon Cloud.

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