February 9, 2016

Visualization is the best way to explore and communicate insights about data. Whether you are dealing with geospatial, time series, or tabular data, interactive graphics allow everyone on your team, from analysts to executives, to understand the patterns in your data.

We are here to help – Continuum Analytics’ data scientists and engineers have developed a new Big Data visualization approach called datashading.

Use Intelligent Downsampling to Extract Signal from Noise in Big Data

Visualization is the best way to explore and communicate insights about data. Whether you are dealing with geospatial, time series, or tabular data, interactive graphics allow everyone on your team, from analysts to executives, to understand the patterns in your data.

But as data grows to include millions and billions of points, traditional visualization techniques break down. Whether you’re loading the data into limited memory, or separating the signal from the noise when thousands of data points occupy each pixel, as data gets big, visualization gets challenging.

We are here to help – Continuum Analytics’ data scientists and engineers have developed a new Big Data visualization approach called datashading. Join us on February 9th for a webinar on Big Data visualization with the new datashader library, led by Continuum Analytics CTO Peter Wang and Solution Architect Dr. Jim Bednar.

You’ll learn how to:

  • Visualize Big Data the Right Way – and why so many people do it wrong
  • Interactively visualize 100 million points of data in a Jupyter Notebook
  • Create live, interactive dashboards of Big Data sets in less than 300 lines of Python – no JavaScript required
  • Visualize the famous NYC taxi ride data set at a new level of detail and interactivity
  • Join us for the webinar and learn to visualize and explore your largest data sets in new ways. 

Peter and Jim will conduct a Q and A session after the webinar, so tune in and get your visualization questions answered.


About the Author

admin has been with the Anaconda Global Inc. team for over 2 years.

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