Suggestions to `Introduction to Data Exploration` notebook

[yakutovicha]

We will go through the notebook and collect the suggestions here

[fabioacl]

In the section "Finding the limits", the plot is showing float values for Years. Make them integer. Like using:

from matplotlib.ticker import MaxNLocator
plt.gca().xaxis.set_major_locator(MaxNLocator(integer=True))

[fabioacl]

In "Cleaning missing values" section, its presented that ffill() can be used for filling NaNs. We can also show present bfill() here.

[fabioacl]

In "Exercise: Complete Happiness", if one runs the solution solution_clean_dataset without writing anything (only the return), it returns an AttributeError: 'NoneType' object has no attribute 'sort_values', without showing the solution.

[fabioacl]

In "Making frames per year" section, # time_column = 'year' is commented. Is this needed?

[fabioacl]

In solution solution_frames_with_category, the marked for South Asia it very small (similar to Unknown), is it correct or bug?

[fabioacl]

In "Bonus Exercise Fixing a library" section, there is a typo: "and will through an error". Should be throw, right?

[fabioacl]

In "Bonus Exercise Fixing a library" section, I found this path: ...modifying only the file data/plotly_intro/bubbly.py until the same code... Isnt it /data/data_exploration/bubbly.py?