We'll work with Baltimore City Salary Data from fiscal year 2011 to fiscal year 2020 and dive into how we can use Python (via Google Colaboratory or Jupyter notebooks) to analyze and visualize this data.
- 2021-04-05-intro-python-baltimoresalarydata-melanieshimano.ipynb: This notebook corresponds to our first set of videos where we introduce Python, Google Colaboratory, and some basic and useful data editing (exploring big-picture data, filtering, adding columns, aggregating with pandas groupby) and visualization tools to look at general earnings-related trends over the available fiscal years using matplotlib:
and plotly express:
We use Baltimore City Salary Data from the Open Baltimore portal (downloaded on 04-06-2021).