Data Visualisation for Data Science
Visualisation plays a key component during the entire data science process - in exploratory data analysis, model visualisation as well as in communicating the results through a narrative or a dashboard. The goal of this workshop is to help you gain a deeper understanding on the art and science of data visualisation.
Structure of the workshop
- Intro to visualization
- Understand Exploratory Data Analysis (EDA)
- Role of model visualisation
- Communicating insights using visualisation
- The Grammar of Graphics
- Visualizing single & dual variables
- Visualizing categorical data
- Visualizing Multi-Dimensional Data
- Using aesthetics and facets for more than two variables
- Using matrix view, parallel coordinates for more than two variables
- Communicating with graphs
- Graphical perception and critique
- Understand color, scales, labeling and annotation
- Theming and publication ready graphics
- Interactive graphics
- Creating interactive graphs for the web
- Allowing interactive data-model manipulation
- Visualizing geo-spatial data
- Creating Interactive Data Dashboards
- Model Visualization
Broad Schedule for the workshop
0930 - 1000: Installation
1000 - 1130: Session 1: Grammar of Graphs, 1D & 2D Vis
1130 - 1145: Tea Break
1145 - 1330: Session 2: Multi Dimensional Visualisation
1330 - 1415: Lunch
1415 - 1500: Project Discussion
1500 - 1600: Session 3: Interactive Data Visualisation
1600 - 1615: TeaBreak
1615 - 1800: Session 4: Model Visualisation