Data Visualization
Date:
22/10/2018 - 22/01/2019
Organised by:
SAGE Publishing
Presenter:
Dr. Claudia von Vacano
Level:
Intermediate (some prior knowledge)
Contact:
Lucy Golding lucy.golding@sagepub.co.uk
Venue: Online
Description:
You will learn effective presentation methods for various data types and variables, and how to create your own visualizations in Jupyter notebooks in Python or R.
By the end of this bytesize course, you will be able to:
- Explain two popular visualization theories: Marks and Visual Variables, and Gestalt.
- Enumerate a hierarchy of visual perception.
- Apply these theories to assess the effectiveness of visualizations.
- Describe how to convey an entire story using an infographic.
- Use visualizations for exploratory data analysis.
- Write code to produce geographic visualizations.
Cost:
80+VAT
Website and registration:
Region:
International
Keywords:
Online Data Collection , Textual Analysis, Data Visualisation, R, Python, programming
Related publications and presentations:
Online Data Collection
Textual Analysis
Data Visualisation