data visualisation

data graphs alternatives

Plotting with Python and Pandas – Libraries for Data Visualisation

Anyone familiar with the use of Python for data science and analysis projects has googled some combination of “plotting in python”, “data visualisation in python”, “barcharts in python” at some point. It’s not uncommon to end up lost in a sea of competing libraries, confused and alone, and just to go home again! The purpose …

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How often do you actually get wet going to work? Using pandas, python, and some graphs, we find out.

How wet is a cycling commute in Ireland? Pretty dry!… if you don’t live in Galway.

How often do you get wet cycling to work? Cycling in Ireland is taking off. The DublinBikes scheme is a massive success with over 10 million journeys, there’s large increases in people cycling in Irish cities, there’s a good cyclist community, and infrastructure is slowing improving around the country. However, Ireland is a rainy place! It turns out that …

How wet is a cycling commute in Ireland? Pretty dry!… if you don’t live in Galway. Read More »

Cyclist in the rain. Blog about python scraping data from wunderground rainfall data.

Analysis of Weather data using Pandas, Python, and Seaborn

The most recent post on this site was an analysis of how often people cycling to work actually get rained on in different cities around the world. You can check it out here. The analysis was completed using data from the Wunderground weather website, Python, specifically the Pandas and Seaborn libraries. In this post, I will …

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Multiple heatmaps

Self-Organising Maps for Customer Segmentation using R

Self-Organising Maps Self-Organising Maps (SOMs) are an unsupervised data visualisation technique that can be used to visualise high-dimensional data sets in lower (typically 2) dimensional representations. In this post, we examine the use of R to create a SOM for customer segmentation. The figures shown here used use the 2011 Irish Census information for the …

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