Actuartech

0.3 - How to get set up

0.4 - A User Guide for Jupyter Notebooks

0.5 - Other ways to code in Python

1.3 - Introduction to the Case Studies and Datasets Used

1.4 - High level Principles and Considerations

1.5.1 - Techniques for visualising data with Matplotlib

1.5.2 - Techniques for visualising data with Seaborn

1.5.3 - Techniques for visualising data with Pandas

1.5.4 - Techniques for visualising data with Plotly

1.6 - Conclusion

2.1 - Introduction

2.2 - Importing and Preliminary Analysis

2.3 - Visually Comparing Asia to the Americas

2.4 - Comparing the Frequency, Deaths and Economic Damage by Disaster Type

2.5 - Conclusion

3.1 - Introduction

3.2 - Techniques for Visualising COVID 19 Data

3.3 - Understanding the effect of Lockdown Restrictions on daily case numbers

3.4 - Conclusion

4.1. - Introduction

4.2 - Creating a Simple Dashboard in Dash

4.3 - Building a COVID-19 Dashboard in Dash Part 1: File Structure and Dashboard Configuration

4.4 - Building a COVID-19 Dashboard in Dash Part 2: Sidebar Pages

4.5 - Deploying using Heroku

4.6 - Interactive COVID-19 Dashboard Built in Dash

4.7 - COVID-19 Dashboard in Dash Zip File

Lambda, map and apply functions

Python conventions

Debugging in Python