Overview
=========

This tutorial gives you some tips aboutthe data preparation and visualization using Python tools.

We will go through the data preparation and basics of data preprocessing using Python's Pandas library. 
We will also practice basic plotting with matplotlib library, to create meaningful visualizations and perform some exploratory data visualizations.
Moreover, we will learn how to use Folium library to visualize location-based data on maps, improving our skills in map analysis.

.. note::

    **These tutorials are meant to help you with assignment tasks by giving hints, not to teach Python programming in a detailed step-by-step manner.**
    As mentioned in the first lecture of the course, this course requires basic knowledge of Python and Pandas library. 
    If you are not familiar with them, try catching up with the basics as fast as you can.
    Some useful resources are:

    - `Python for Data Analysis (3rd Edition, 2022) <https://wesmckinney.com/book/>`_.
    - `Pandas online documentation <https://pandas.pydata.org/pandas-docs/stable/user_guide/dsintro.html>`_.


Learning goals
--------------

By the end of this tutorial, you'll be able to:

* Understand the basics of data preparation and preprocessing
* Understand the basics of data visualization
* Understand the basics of map visualization