Setting up your programming environment
- Installing Anaconda, Jupyter & Plotly
- Introduction to Jupyter Notebooks
- Downloading the course materials
- Setting up a Plotly account and configuring your Plotly installation
Introduction to Python
- Download materials for Introduction to Python
- Variables in Python
- Variable Types - Numbers
- Variable Types - Strings (1)
- Variable Types - Strings (2)
- Variable Types - Boolean
- Variable Types - Lists (1)
- Variable Types - Lists (2)
- Variable Types - Dictionaries (1)
- Variable Types - Dictionaries (2)
- If-Else Statements
- For Loops (1) - Looping through a range of values
- For Loops (2) - Looping through the items in a sequence
- For Loops (3) - Nested Loops
- Functions (1) - Creating Functions
- Functions (2) - Using Functions
- Importing Modules
- Introduction to Pandas (1) - Reading data into a DataFrame
- Introduction to Pandas (2) - Useful DataFrame Functions
- Introduction to Pandas (3) - Accessing and Creating Columns
- Introduction to Pandas (4) - Changing the DataFrame
- Introduction to Pandas (5) - Accessing and changing specific observations
- Variables Types in Python
- Conditional programming in Python
- Working with the Pandas library
- Further resources for learning Python
Lineplots and Area Plots
- Download materials for Lineplots
- Introduction to Lineplots in Plotly
- Plotting different data
- Plotting data from a Pandas DataFrame
- Plotting multiple lines
- Plotting multiple lines with a For loop
- Changing line colour and thickness
- Making dashed and dotted lines
- Adding and changing marker symbols
- Applying smoothing (1)
- Applying smoothing (2) - stock market data
- Stepwise line shapes
- Creating an area plot
- Creating a stacked area plot
- Creating a stacked proportional area plot
- Writing a function to create a stacked proportional area plot
- Review of lineplots and areaplots
- Practise datasets for lineplots and area plots
Styling your charts
- Download materials for section Styling your charts
- Changing the range
- Setting the tick format
- Modifying the tick labels
- Creating and positioning custom tick values
- Controlling hovertext on your chart
- Creating custom hovertext
- Applying custom hovertext
- Practise (1)
- Practise (2)
- Styling your charts - review
- Practising your chart presentation skills
Scatterplots
- Download materials for Scatterplots
- Scatterplots 1 - What is a scatterplot?
- Scatterplots 2 - Making our first scatterplot
- Scatterplots 3 - Styling the marker points
- Scatterplots 4 - Plotting different categories on the same plot
- Scatterplots 5 - Controlling traces and legend items
- Scatterplots 6 - Fitting a regression line
- Scatterplots 7 - Plotting and styling regression lines
- Scatterplots 8 - Adding text to charts
- Scatterplots 9 - Making bubbleplots
- Scatterplots 10 - Recreating the Gapminder plot
- Scatterplots 11 - Plotting multiple plots together
- Scatterplots 12 - Making a scatterplot matrix
- Scatterplots 13 - Styling our scatterplot matrix
- Scatterplots 14 - Writing a function for a scatterplot matrix
- Practise datasets for scatterplots and bubbleplots
- Scatterplots - Review
Styling your charts (2)
- Download materials for Styling your Charts 2
- Styling the global font
- Styling annotations, text, ticklabels and titles
- Further styling of annotations
- Positioning annotations outside of the chart
- Changing the margins
- Adding a source annotation
- Different subplots options
- Combining subplots grid spaces
- Styling your charts - review
- Practising your chart presentation skills
Bar Charts
- Download materials for Bar Charts section
- What is a bar chart?
- Making our first bar chart
- Styling options for a bar chart
- Styling individual bars
