This is a course for data visualization lovers.
It has been prepared with practical exercises of the current context for its better understanding and application in a 10 intensive hours.
In a first section, the methodological principles on data viz and graphic display techniques are explained. As an exercise, the extraction and deployment of COVID-19 data using python, Plotly and express submodule is developed.
Additionally, the course includes the geospatial application for the representation of geographic data using Plotly's methods, and as an exercise the data from John Snow's research on cholera is reconstructed.
Finally, scientific and statistical graphics and their display through animation code are explored. As a final project, the Leaflet code is used to explore interactive maps.
#AulaGEO
Section 1: Module. 1 Introduction to Data Visualisation
Section 2: Module. 2 Data Types and Chart Types
6. Continuos Variables and Histogram
7. Time Series and Line Chart
8. Categorical Data and bar chart
9. Categorical Data Type and pie chart
10. Pair of Continous variables
11. One Continuous and One Categorica
12. Pair of Categorical Variable
13. Practice
Section 3: Module. 3 Data Visaulization in Plotly
14. Fundamentals of Plotly
15. Plotly and Express submodule
16. Updating and Customizing Layout
17. Practice
Section 4: Module. 4 Final Project 1 (COVID Visualization in Plotly)
Section 5: Module. 5 Plotting Geographical Data in Plotly
Section 6: Module. 6 Some Advanced Topics in Plotly
Section 7: Module. 7 Final Project 2 (John's Cholera Graph)
Section 8: Module. 8 Scientific and Statistical Plots
30. Contour Plots
31. Image in Plotly
32. Heat Map
33. Ternary Plots
34. Log Plots
35. Statistical Plots
Section 9: Module. 9 Animation in Plotly
36. Animation Using Plotly Express
37. Frames and Graph Objects
38. Line Chart Race Project
Section 10: Module. 10 Final Project 3 ( Exploring Interactive Maps using Leaflet)
