Visualising Data
29
Static Visualisation with Plotnine
Python for Healthcare Services
1
Welcome
Getting Started
2
Your First Python Code
3
Working With Numbers
Controlling the flow
4
If Statements
5
For Loops
6
While Loops
Data Containers
7
Lists
8
Dictionaries
9
Working with Lists and Dictionaries Together
10
The Map Function
Working with Dates and Times
11
Introduction to Dates
12
Converting Dates
Writing Functions
13
Simple Functions
14
Advanced Functions
15
Lambda Functions
Working with Tabular Data
16
Introduction to Pandas
17
Importing Data Files
18
Filtering Dataframes
19
Adding Columns
20
Joining Dataframes
21
Extending Dataframes
22
Dataframes from database connections
23
Building Up Dataframes
Calculating Summary Statistics
24
Mean, Median and Mode
25
Measuring Variation
Visualising Data
26
Graph types
27
Static Visualisation with matplotlib
28
Interactive Visualisation with Plotly
29
Static Visualisation with Plotnine
30
Other Visualisation Libraries
Levelling Up Your Programming
31
List Comprehensions
32
Writing Tests
Object Oriented Programming
33
OOP Concepts
34
Writing your First Classes
35
Inheritance
Appendix 1 - Lesser-used Concepts
36
Sets and Tuples
37
Recommended Resources
38
Next Steps
Visualising Data
29
Static Visualisation with Plotnine
29
Static Visualisation with Plotnine
Coming Soon!
28
Interactive Visualisation with Plotly
30
Other Visualisation Libraries