Microprocessor Trend Data - Jupyter lab edition

- A project in the subject Visualizing Scientific Data @ the University of Innsbruck

The goal of this project is to improve the Microprosessor Trend Data figure. The notebook will contain many different ways to visualize the data, and should be easily adjusted.

Packages I use:

• numpy
• matplotlib
• jupyter lab

This is the two end plots made in the 3 ects subject. See the jupyter notebook "Playing_with_data.ipynb" for details and explaination. (The axes are included in the notebook)

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Everything below is unchanged from Karl Rupp's repo, forked 22.03.22.

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This repository contains the raw data used in my blog series on microprocessor trend data:

• 50 Years of Microprocessor Trend Data
• 48 Years of Microprocessor Trend Data
• 42 Years of Microprocessor Trend Data
• 40 Years of Microprocessor Trend Data

License

All raw data and my own plots are available under a Creative Commons Attribution 4.0 International Public License, see file LICENSE.txt for details.