Exercise: Visualizing Datasets

Let’s practice what we have learned so far.

Tasks

Refactor the Python code below to follow the tasks listed:

• Create a gini variable, and store the string 'GINI index (World Bank estimate)'.

• Create a year variable, and store the integer 2016.

• Create the first df subset from the poverty dataset to get the poverty rates for all countries in the year 2016, and sort them based on their Gini index scores.

• Plot a bar chart using the subset created in the previous task with the Country Name on the $x$ axis and the gini variable on the $y$ axis.

• Create the second subset df from the poverty dataset to get the highest poverty gap values for the United States for all the years.

• Plot a scatter graph using the subset created in the previous task with df['year'] on the $x$ axis and the maximum poverty gap variable on the $y$ axis.

Coding workspace

The provided workspace contains the required libraries and datasets. Try to code the solution for the tasks mentioned above.