Cleaning Up Messy Data with Python and Pandas Online
Raw data often require special preparation for efficient statistical analyses and visualization. This workshop will introduce useful Python functionality along with the pandas package to help organize your raw data and create a clean dataset. Participants will learn how to read multiple CSV files, filter and manipulate their data, and then combine them into a single dataframe according to best practices.
*Presented by Maya Flannery (DASH Support Assistant). A beginner-level understand of Python is required for this workshop. This virtual workshop will be recorded and shared on the Sherman Centre's website.
More information on Sherman Centre Events can be found on the SCDS Events page.
CODE OF CONDUCT
The Sherman Centre and the McMaster University Library are committed to fostering a supportive and inclusive environment for its presenters and participants. As a participant in this session, you agree to support and help cultivate an experience that is collaborative, respectful, and inclusive, as well as free of harassment, discrimination, and oppression. We reserve the right to remove participants who exhibit harassing, malicious or persistently disruptive behaviour. Please refer to our code of conduct webpage for more information.