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.
Workshop goals
- 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:
Workshop Content
| Time Estimate | Section | Keypoints |
|---|---|---|
| Pre-Workshop | Setup | Install required software and download files required for the lesson |
| 00:00 | 1. Steps In A Data Science Project |
What is Data Science?
What are the steps in a Data Science Project? |
| 00:00 | 2. Steps in Data Pre-Processing |
What is Data Processing?
How to create a Variable? |
| 00:00 | 3. Visualizing data in Python |
What do you need to visualize data in python?
Types of plots in python |
| 00:00 | Finish | Please fill out the workshop survey |
The actual schedule may vary slightly depending on the topics and exercises chosen by the instructor.
Workshop Recording
Survey
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