Actuartech

0.3 - How to get set up

0.4 - A User Guide for Jupyter Notebooks

0.5 - Other ways to code in Python

2.1 - Introduction to dashboarding

2.2 - Introduction to visualisations

2.3 - High level principles and considerations

2.4 - Summary: Dashboarding versus visualisations

3.1 - Techniques for visualising data with Matplotlib

3.2 - Techniques for visualising data with Seaborn

3.3 - Techniques for visualising data with Pandas

3.4 - Techniques for visualising data with Plotly

3.5 - Summary of visualisation libraries in Python

4.1 - Automating Exploratory Data Analysis (EDA)

4.2 - Geographical plotting

4.3 - Visualising COVID-19 Data

4.4 - Summary of complex visualisations

5.1 - Streamlit vs Dash

5.2.1 - Streamlit example: Building a simple IFRS 17 dashboard

5.2.2 - Streamlit example: Building an IFRS 17 KPI dashboard

5.3.1 - Dash example: Building a simple COVID-19 dashboard

5.3.2 - Dash Example: Building a multi-page COVID-19 dashboard