Tag: #ggplot2

The Guardian newspaper has for a few years been running a data blog and has built up a massive repository of (often) well-curated datasets on a huge number of topics. They even have an indexed list of all data sets they've put together or reused in their articles.

It's a great repository of interesting data for exploratory analysis, and there's a low barrier to entry in terms of getting the data into a useful form. Here's an example using UK election polling data collected over the last thirty years.

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There's a hard-fought drive on Wikimedia commons to convert those images that should be in vector format (i.e. graphs, diagrams) from their current bitmap form. At the time of writing, the relevant category has over 7000 images in the category "Images that should use vector graphics".

The usual way people move between the two is by tracing over the raster, and great tools like Inkscape (free open-source software) can help a lot with this. But in the case of graphs I thought it'd be fun to try and rebuild a carbon copy from scratch in R.

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