Boston | April 14th – April 17th, 2020

Data Visualization Track

Explore the beauty of visualization
brought to you by the world’s most creative minds

The data visualization track at ODSC East 2020 brings together the world’s most creative minds that are changing the way we visualize, understand, and interact with data. Join a community of designers, data scientists, and developers to learn the art of storytelling, information communication, and data visualization using the latest open source tools and techniques.

 We offer multiple talks, workshops, and interactive presentations to help you understand and create beautiful, insightful, and actionable data graphics and visuals.

ODSC East 2020 Data Visualization Speakers


Click Here For Full Lineup
2020 Speakers

Sample Talk, Workshop, and Training Sessions

Data Visualization Sessions
Friday, April 17th
Thursday, April 16th
Tuesday, April 14th
Friday, April 17th
Thursday, April 16th
Tuesday, April 14th
09:30 - 12:30
Network Analysis Made Simple

Training | Data Visualization | Machine Learning | Beginner-Intermediate

 

Have you ever wondered about how those data scientists at Facebook and LinkedIn make friend recommendations? Or how epidemiologists track down patient zero in an outbreak? If so, then this tutorial is for you. In this 3.5 hr tutorial, we will use a variety of datasets to help you understand the fundamentals of network thinking, with a particular focus on constructing, summarizing, and visualizing complex networks.

Upon completing this tutorial, you will be:
– familiar with how to use the NetworkX and nxviz Python packages for modelling and rationally visualizing networks,
– able to load node and edge data from a Pandas dataframe,
– familiar with object-oriented and matrix-oriented representations of graphs,
able to find paths between nodes, interesting structures in graphs, and projections of bipartite graphs.
– (if time permits) able to use matrix operations to simulate diffusion of information on networks..more details

Network Analysis Made Simple image
Eric Ma, PhD
Author of nxviz Package
09:30 - 12:30
Building Data Narratives: an End-to-End Machine Learning Practicum

Traning | Data Vizualization | ML for Programmers | Beginner-Intermediate


This workshop will take one through the steps associated with an end-to-end machine learning campaign: data retrieval; data curation; model construction, evaluation, selection and interpretation; and reporting. Particular attention will be paid to reporting, i.e., building a narrative. Examples will be presented demonstrating how one might generate multiple output formats (e.g., HTML pages, presentation slides, PDF documents) starting with the same code base.

The workshop will have three main foci:
1. infrastructure: instantiating the computational environment; loading packages; loading data
2. computation: data curation, transformation, and analysis; model construction, evaluation, and interpretation
3. communication: creating tables, charts, and graphs; weaving all components into data narrative…more details

 

Building Data Narratives: an End-to-End Machine Learning Practicum image
Paul J Kowalczyk, PhD
Senior Data Scientist | Solvay
09:30 - 12:30
Data Analysis, Dashboards and Visualization with Tableau – How to Create Powerful Visualizations Like a Zen Master

Training | Data Visualization | Kick-starter | All Levels

 

In this complete hands-on training session, you will learn to turn your data into interactive dashboards, how to create stories with data and share these dashboards with your audience. We will begin with a quick refresher of basics about design and information literacy and discussions about practices for creating charts and storytelling utilizing best visual practices. Whether your goal is to explain an insight or let your audience explore data insights, using Tableau’s simple drag-and-drop user interface makes the task easy and enjoyable.
In this session, we’ll cover intermediate and advanced tableau functionality:
1. Database connectivity
2. Blending and joins using multiple data sources, web connectors and plugins,
3. Perform data analyses and create graphs from a real-world dataset, using Tableau Public (free to use)
4. Deeper Analysis – Trends, Clustering, Distributions, and Forecasting
5. Table Calculations, Sets, Filters, Level of Detail expressions, Parameters
6. Spatial analytics – Using Maps and Geocoding
7. Right and Wrong way to build Dashboards and Best Practices…more details 

 

Data Analysis, Dashboards and Visualization with Tableau – How to Create Powerful Visualizations Like a Zen Master image
Nirav Shah
Founder | OnPoint Insights
10:40 - 11:25
Smart Technologies in Enhancing Browsing Experiences

Talk | Data Visualization | Research Frontiers | Intermediate

 

In this talk, I would like to focus on design methods, used for some of the visualization systems I have been working on for the past 3 years. The systems aim to bridge the physical and digital arenas, using digital data associated with physically situated objects and transforming and visualizing this data in relation to a given context. The systems are in the form of a web-based app – they serve as a visual “companion” that recognizes objects and uses them instantly to provide users with information or insight. After snapping a photo or using an AR headset, applications generate the object-related data or visual dashboard that users may use for further exploration. With the above-mentioned systems and its interplay between real and digital worlds, new avenues could be opened for creating new dimensions for adaptive visualizations…more details

Smart Technologies in Enhancing Browsing Experiences image
Zona Kostic, PhD
Research Fellow | Harvard University
12:45 - 13:30
The Art (and Importance) of Data Storytelling

Talk | Data Visualization | ML for Programmers | Beginner

 

In this talk, you’ll learn more about the importance of developing a story for your data and some of the initial ways to build a cohesive narrative. We’ll use the science of human vision and processing to talk through some best practices for creating high leverage visualizations that strengthen data stories. We’ll also look at how we can make improvements and enhancements to visualizations to add power to our stories in order to get and sustain our audiences’ attention. The most impressive data analysis is useless without the ability to clearly communicate essential takeaways and offer up persuasive recommendations. Data scientists of any technical level will benefit from learning about how to better communicate with data. Taking a storytelling approach to sharing your data can help get your work noticed and recommendations heard…more details

The Art (and Importance) of Data Storytelling image
Diedre Downing
Lead Data Storytelling Trainer| StoryIQ
14:25 - 15:10
How to Approach Time Series Forecasting Given Noisy and Sparse Data: an Example from the Trucking Industry

Talk | Data Visualization | Open-source | Beginner-Intermediate

 

Our task as data scientists at Transfix is to predict the cost to move a truckload of freight from any two points in the continental US at anytime in the next 18 months. Cost prediction is not a unique business problem to solve. What makes it unique for us at Transfix is the data (or lack thereof) that we have to use to support the large number of predictions we have to make across geographies, seasons, business cycles, and equipment type. There are over a million routes (or lanes, as they’re called in the industry) between any two 3-digit zip code prefix that require a prediction from us. However, unlike the stock market, there is not one market price that defines the transaction of moving goods between two points. The unit economics, route preferences, and business goals of different sized trucking companies and owner-operators results in a wide range of viable rates that one will be able to book a truck from among the hundreds of thousands of carriers in this highly fragmented market…more details

How to Approach Time Series Forecasting Given Noisy and Sparse Data: an Example from the Trucking Industry image
Filip Piasevoli
Senior Data Scientist | Transfix
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You Will Meet

The Data Visualization track at ODSC East 2020 is where industry’s top creative minds gather to discuss and shape the most exciting trends and topics in data visualization. Whether you are a data visualization expert, or just starting your journey on better data presentation, this is the conference for you.

  • Thought leaders working in data science

  • Data visualization professionals

  • Graphic artists

  • Data scientists

  • UX designers

  • Business intelligence experts

  • Graphic designers

  • Media & publishing data storytellers

  • Startup founders and executives

Why Attend?

Connect with peers and top industry professionals at our many networking events to discover your next job, service, product or startup.

Immerse yourself in two days of in-depth talks and workshops on data visualization and data science topics, tools, and languages.

With an incredible lineup, this event provides the training and insight for professionals who understand their organization’s need to deliver compelling data visualization.

Get full access to a suite of recorded presentations on-demand post conference.

Get access to the Open Data Visualization Conference plus 5 other co-located conferences including open data science, big data science, and disruptive data science.

Organizations are now understanding the need to break down big data to make it intuitive, insightful, and actionable. Be among the first to understand the power of data visualization.

Previous Sessions in Data Visualization Track

  • Workshop: Deciphering the Black Box: Latest Tools and Techniques for Interpretability

  • Talk: Adversarial Attacks on Deep Neural Networks

  • Training: Integrating Pandas with Scikit-Learn, an Exciting New Workflow

  • Workshop: Machine Learning for Digital Identity

  • Talk: Adding Context and Cognition to Modern NLP Techniques

  • Training: Good, Fast, Cheap: How to do Data Science with Missing Data

  • Workshop: Open Data Hub workshop on OpenShift

  • Talk: Practical AI Solutions Within Healthcare and Biotechnology

  • Training:  Apache Spark for Fast Data Science (and Fast Python Integration!) at Scale

  • Workshop: Reproducible Data Science Using Orbyter

  • Talk: Combining Millions of Products into One Marketplace Using Computer Vision and Natural Language Processing

  • See the whole schedule!

Sign Up for ODSC EAST 2020 | April 14th – April 17th, 2020

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