In the python world, there are multiple options for visualizing your data. Because of this variety, it can be really challenging to figure out which one to use when. This article contains a sample of some of the more popular ones and illustrates how to use them to create a simple bar chart. I will create examples of plotting data with: Pandas, Seaborn, ggplot, Bokeh, pygal and Plotly.
More and more information from local, state and federal governments is being placed on the web. However, a lot of the data is not presented in a way that is easy to download and manipulate. I think it is an important civic duty for us all to be aware of how government money is spent. Having the data in a more accessible format is a first step in that process.
In this article, I’ll use BeautifulSoup to scrape some data from the Minnesota 2014 Capital Budget. Then I’ll load the data into a pandas DataFrame and create a simple plot showing where the money is going.