This assignment is about data processing and plotting.
Link to mybinder:
The assignment is expected to be published on GitHub, but the actual hand-in is on peergrade and should contain only a link to a MyBinder. The assignment should fit in a single Jupyter Notebook.
Remember her to use the link provided when first registering your notebook with mybinder (not the url taken from your browsers adress field). See the notebook 12-Assignments for more information.
Use this source: https://data.worldbank.org/indicator/SI.POV.DDAY and extract the csv file in jupyter notebook. With the help of Pandas' DataFrame do the following
- Create a line graph showing the development in poverty over time in both Argentina, Ivory cost, USA. (be aware of the missing data in particular years)
- Find the 10 countries with the highest poverty rate, and plot the rates in a bar chart
- Show the development of absolute poverty in all the central american countries. Hand in:
- A description of what graphical representation you think is best for this task
- See this page for inspiration: https://scipy-lectures.org/intro/matplotlib/matplotlib.html
- The actual graphical representation in a Jupyter Notebook
- A description of what graphical representation you think is best for this task
- From the worldbank api, find one more interesting question you would like to ask. Hand in:
- A description of why that question is interesting
- A visualisation of the question in your Jupyter Notebook
- See this page for inspiration: https://scipy-lectures.org/intro/matplotlib/matplotlib.html