What’s one of the most important part of analyzing financial markets, or data science in general? There are several answers. If you don’t have any data to start with, there’s not really going to be more to analyze. Once you get the data, it needs to be cleaned, before the analysis etc. Once all the number crunching is done, visualization is key to explain the results.
There are many commercial tools you can use for visualization. Excel is probably the most popular, as well as more specialized visualisation tools, like Tableau. If you’re using Python, there are many libraries to do data visualisations, which can range from simple line charts to much more complex ones, where you can control all sorts of properties. Here I’m going to go through a few of these visualization libraries. It’s not an exhaustive list, just a few that I’ve used (and some that I’d hope to use in future).
Matplotlib – is probably one of the most well known of Python’s visualization libraries, and is pretty comprehensive in terms of the types of chats available
Seaborn – is a wrapper on top of Matplotlib, which makes it a lot easier to use. It has many built in chart types that makes it quick to explore data in one line of code, such as violin plots.
Chartpy – is my own visualization library. It doesn’t actually render the charts itself, but instead acts as unified wrapper for other underlying chart libraries like Plotly and Matplotlib. You just need to change one keyword to switch between them.
bqplot – is a charting library open sourced by Bloomberg designed for Jupyter notebooks, which can be coded using a Matplotlib style API or its own API (which I think is easier to use)
VisPy – is a newer visualisation library which is GPU accelerated, so is suited to much more complicated graphics and very large datasets, which would be difficult to plot using tools like Matplotlib.
Whilst I’m sure that some of the these visualization libraries are very well known, such as Matplotlib or Plotly, quite a few of them are perhaps less well known such as VisPy. If there are any visualization libraries that you use and I haven’t included please do drop me a message! There are quite a few which I haven’t included here such as Altair.