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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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Category Archives: Python
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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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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Relative Age Effect – European Football
The Relative Age Effect refers to a bias in performance and participation due to selection periods, such as school years, with the oldest within an age group having an advantage over the youngest. It has been widely observed in academia … Continue reading
Posted in Data science, Python
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