Art of Effective Visualization of Multi-dimensional Data by Dipanjan Sarkar at #ODSC_India

Descriptive Analytics is one of the core components of any analysis life-cycle pertaining to a data science project or even specific research. Data aggregation, summarization and visualization are some of the main pillars supporting this area of data analysis. However, dealing with multi-dimensional datasets with typically more than two attributes start causing problems, since our medium of data analysis and communication is typically restricted to two dimensions. We will explore some effective strategies of visualizing data in multiple dimensions (ranging from 1-D up to 6-D) using a hands-on approach with Python and popular open-source visualization libraries like matplotlib and seaborn. We will also do a brief coverage on excellent R visualization libraries like ggplot if we have time.

BONUS: We will also look at ways to visualize unstructured data with several dimensions including text, images and audio!

Details: https://confengine.com/odsc-india-2018/proposal/6846/the-art-of-effective-visualization-of-multi-dimensional-data-a-hands-on-approach

Conference: https://india.odsc.com/

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