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Recent Posts
- Python module for UK polling analysis
- Up-to-date UK political polling data
- UK Newspaper Headlines
- Who plumped for Trump?
- Relative Age Effect – UK Athletics
- Relative Age Effect – European Football
- Making Pandas perform
- Sentiment analysis of Guardian articles
- Quick parallelism in Python
- Python versus R
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Python module for UK polling analysis
My previous post described a web-service for providing up-to-date UK political polling information. I’ve created a Python client to make use of this to perform simple analysis. This allows you quickly do analysis such as polling a monthly average of … Continue reading
Posted in Polling, Python
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Up-to-date UK political polling data
I’ve created a web-service that supplies an automatically updated history of UK political polling data. Clicking on the link below will download an up-to-date Excel sheet containing the figures. UK Polling Data Excel Sheet Data sources The data comes from … Continue reading
Posted in Data science, Polling, Python
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UK Newspaper Headlines
Can you identify these UK newspapers from the words that occur most frequently in their front page headlines? I took all the 2016 front page headlines for seven UK newspapers and performed a word count. The graphs below show the … Continue reading
Posted in Data science, Python
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Who plumped for Trump?
As you may have heard, Donald Trump was elected president of the United States. Much of the press reaction has concerned the search for the Trump voter, who has variously been identified as being white, male, rural, poor and living … Continue reading
Posted in Data science
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Relative Age Effect – UK Athletics
Introduction In my previous post I examined the relative age effect in European football. The relative age effect describes how where your birthday falls in the year might affect your life chances. People who grow up as the oldest in their … Continue reading
Posted in Data science, Python
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