My unstoppable reading continues, this time I’ve polished off The Tableau 8.0 Training Manual: From Clutter to Clarity by Larry Keller. This post is part review of the book, and part review of Tableau. Tableau is a data visualisation application which grew out of academic research on visualising databases. I’ve used Tableau Public a little bit […]
Following my revelations regarding sharing code with other people I thought I’d read more about the craft of writing code in the form of Clean Code: A Handbook of Agile Software Craftmanship by Robert C. Martin. Despite the appearance of the word Agile in the title this isn’t a book explicitly about a particular methodology […]
I bought Natural Language Processing in Python by Steven Bird, Ewan Klein & Edward Loper for a couple of reasons. Firstly, ScraperWiki are part of the EU Newsreader Project which seeks to make a “history recorder” using natural language processing to convert large streams of news articles into a more structured form. ScraperWiki’s role in […]
This week I’ve been programming in JavaScript, something of a novelty for me. Jealous of the Dear Leader’s automatically summarize tool I wanted to make something myself, hopefully a future post will describe my timeline visualising tool. Further motivations are that web scraping requires some knowledge of JavaScript since it is a key browser technology […]
Machine learning is about prediction, and prediction is a valuable commodity. This sounds pretty cool and definitely the sort of thing a data scientist should be into, so I picked up Machine Learning in Action by Peter Harrington to get an overview of the area. Amongst the examples covered in this book are: Given that […]
My next review is of Andy Kirk’s book Data Visualization: a successful design process. Those of you on Twitter might know him as @visualisingdata, where you can follow his progress around the world as he delivers training. He also blogs at Visualising Data. Previously in this area, I’ve read Tufte’s book The Visual Display of […]
This is a review of Robert I. Kabacoff’s book R in Action which is a guided tour around the statistical computing package, R. My reasons for reading this book were two-fold: firstly, I’m interested in using R for statistical analysis and visualisation. Previously I’ve used Matlab for this type of work, but R is growing in […]
