Category Archives: Data Science

Book review: The Tableau 8.0 Training Manual – From clutter to clarity by Larry Keller

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 … Continue reading

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Making a ScraperWiki view with R

In a recent post I showed how to use the ScraperWiki Twitter Search Tool to capture tweets for analysis. I demonstrated this using a search on the #InspiringWomen hashtag, using Tableau to generate a visualisation. Here I’m going to show … Continue reading

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#InspiringWomen – catching twitter with ScraperWiki

Those of you on twitter may have caught the recent #InspiringWomen hash tag, this was a response to the online abuse and threats received by many women in the public eye. On Sunday 4th August people tweeted about women who … Continue reading

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Adventures in Tableau – loading files

Tableau is a widely used visualisation tool, particularly in the business intelligence area. It grew out of the Polaris project at Stanford University, subtitled “interactive database visualisation”. This is worth bearing in mind since it is the context in which Tableau deals with … Continue reading

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ScraperWiki – Professional Services

How would you go about collecting, structuring and analysing 100,000 reports on Romanian companies? You could use ScraperWiki to write and host you own computer code that carries out the scraping you need, and then use our other self-service tools … Continue reading

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What Does It All Mean? Find out with Summarise This Data

Every time I generate a new dataset, the first thing I want is a high-level overview of what’s going on. I can’t digest millions of individual rows of data – I need a way to zoom-out and get the bigger … Continue reading

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Testing, testing…

Data science is a distinct profession from software engineering. Data scientists may write a lot of computer code but the aim of their code is to answer questions about data. Sometimes they might want to expose the analysis software they … Continue reading

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