The importance of data visualisation
In finance, we spend so much time doing analysis and working with data. What’s the most important part of the process? Clearly, sharing your findings. If you are unable to communicate what you’ve done, and your audience can’t understand it, the value of your research is reduced. One way to share your research is through tables of numbers, but these can be difficult to decipher. A key part of making these numbers and tables more accessible is through data visualisation.
In the past few weeks, we’ve seen how important data visualisation is with the unfolding coronavirus crisis, to communicate what’s happening with the public, phrases such as “flattening the curve†have become very common. One example of particularly the effective data visualisations about the coronavirus has been the work of the FT. I’ve tried to mimic some of the charts on a Jupyter notebook, with some help from Ewan Kirk who’s coded up an interactive dashboard for coronavirus data.
I recently attended a online webinar on data visualisation which got me thinking. The presenter, Amina Salima, talked about many unusual types of data visualisation and tried to get us thinking creatively....
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Finance Professional, University Lecturer in Machine Learning, Board Member & Adviser
4 å¹´Spot on Saeed. People interested in data visualization [Oxford spelling] should take note of Edward Tufte's work; see https://www.edwardtufte.com/tufte/ and in particular his book "The Visual Display of Quantitative Information". Tufte's data visualization principles are valid regardless of the system used to produce the graphs. Although, my advice to Excel users is perhaps just don't.
CEO at NLPify Data Technologies
4 å¹´Great article. Spot on!
Software Engineer at Netflix
4 å¹´That's exactly what my team is working on. You should check out the visualisation gallery in BQuant!
Risk Management | Investment Banking | FX & Commodities |Fixed Income | Quantitative Finance
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