1 - The exercise never ask for a title for the graph, but checks for it on the asserts.
Lets visualize this plot that has the following instructions:
Use 'job_title' en 'salary_in_usd' from the ds_salaries dataset
set the figure to figsize=(15, 10)
create this specific plot with the following groupby:
data.groupby('job_title')['salary_in_usd'].apply(list), vert=False)
use plt.yticks(range(1, len(data['job_title'].unique()) + 1), data['job_title'].unique())
label x as 'Salary in USD'
label y as 'Salary Distribution by Job Title'
But in the asserts...
pc.assert_title_equal('Salary Distribution by Job Title'), "Did you put a title for your plot?"
2 - This is more an opinion. This exercise uses "groupby" which is a concept (as far as I recall) not adressed during the prep course. Although the expressions are given, it adds an extra layer of complexity, that goes out the scope of Matplotlib at that time.
majkah0
commented
4 months ago
At exercise 3, we have 2 issues
1 - The exercise never ask for a title for the graph, but checks for it on the asserts.
But in the asserts...
pc.assert_title_equal('Salary Distribution by Job Title'), "Did you put a title for your plot?"2 - This is more an opinion. This exercise uses "groupby" which is a concept (as far as I recall) not adressed during the prep course. Although the expressions are given, it adds an extra layer of complexity, that goes out the scope of Matplotlib at that time.