| layout | lesson |
|---|---|
| root | . |
| permalink | index.html |
| boxId | kweltidiq4bv1m9ow12prsuo9x2espsd |
In this workshop, we will look into the steps for data pre-processing, visualization and the libraries in python that can be used to do this.
The data set being used in this workshop is "auto-mpg.csv". It contains information regarding varios parts. It was collected by Carnegie Mello University. We will perform data pre-processing on this workshop. Additionally, as homework, you will be required to perform visualization on this dataset.
- To understand the Steps in data pre-processing
- To understand data- visualization
> ## Pre-requisites > __STOP:__ before starting this workshop, please attend the following Digital Scholarship Lab workshop(s) before completing this one: > * [Handling data in python](https://researchguides.uic.edu/hub/workshops) {: .prereq}
{% include syllabus.html %}
{% include box_player.html id=page.boxId %}
Thank you for attending this workshop or reading through the workshop material! If you could take 3-5 min to respond to our anonymous survey, we can continue to improve this workshop. We appreciate any and all feedback!