Data Analytics - Final-Project (Reykjavík University)

Authors

Arnar Ólafsson, Sindri Snæfells Kristinsson & Kristófer Stefánsson

About

Jupyter Notebook written in Python3. The contents of the notebook is a story told through data using data sets, visualizations, cleaning and wrangling of data, etc...

Usage

• View through github https://github.com/Kristober/GAGR-Final-Project/blob/main/Tesla_Stock_Comparison.ipynb
• Download project and use an IDE of your choice

Goal and requirements

Tell a story using a data set of your choice. The data set should be explored to get an understanding of what the data is all about (Value ranges, Cleanliness, etc...) The data set should be cleaned and wrangled to support the narritive of the story. The story must be told by asking a question that is later answered using techniques taught in this course (T-498-GAGR)

Key learnings

• The importance of a compelling narritive to tell an effective story.
• Blending (use of multiple data sets).

Project has not been improved or changed in any manner after submission.

Project status

Completed

Copyright

This project is licensed under the terms of the MIT license and protected by Udacity Honor Code and Community Code of Conduct.