OVERVIEWThis workshop covers practical approaches for handling data in
Python. We will use the Python library Pandas. This workshop is a
recommended prerequisite for the Data Visualisation workshop. In order
to do effective data analysis or visualisation, we usually need to
have our data cleaned and in a consistent format. We will cover the
concept of "tidy", and long-form, and wide-form data, and hands-on
approaches for manipulating data and fixing common problems. This
workshop concentrates on tabular data, like that found in spreadsheets
or databases.
LEARNING OBJECTIVES
At the end of the course, you will be able to:
* read tabular data into Python using Pandas, and manipulate it
* identify problems in datasets that will hinder analysis
* use Python to fix common problems
* understand and convert between different data layouts such as
wide-form and "tidy" as appropriate for the problem being solved
REQUIREMENTS
This workshop is designed for participants with a basic knowledge of
PYTHON, but is also appropriate for attendees who do not know PYTHON
BUT HAVE SIGNIFICANT EXPERIENCE USING ANOTHER PROGRAMMING LANGUAGE.
Attendees are required to bring their own laptop computers.
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21/05/2019 Last update