Whitepaper: Big Data Visualization With Datashader
Download this free whitepaper on how datashader helps tame the complexity of visualizing large amounts of data, along with examples for accomplishing this.
The beginning and end of nearly any problem in data science is visualization - from understanding the raw data to communicating the final results and driving decision making.
However, when traditional visualization techniques are applied to large data sets, they suffer from systematic problems like overplotting, oversaturation, undersaturation, undersampling and underutilized dynamic range, all of which obscure the true properties of large data sets and lead to incorrect data-driven decisions.
Fortunately, Anaconda is here to help - with datashading technology that is designed to solve these problems head-on. This approach to Big Data visualization provides an optimized solution and automatically avoids all of the above plotting pitfalls.
In this whitepaper, you'll learn:
- How datashader helps tame the complexity of visualizing large amounts of data
- The approach and advantages of using datashading technology
- Examples of using datashader to visualize billions of points of data
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