Filter Information from Large Datasets
Explore techniques to filter and handle large datasets in data storytelling. Learn to analyze summary statistics, use callouts, and optimize data operations to extract meaningful insights from complex and sizable data collections while maintaining clarity in visualization.
Big data, or the use of large datasets, is common for many applications. However, data storytelling can at times become challenging as the scale of the dataset increases.
Challenges of large datasets
Large datasets can present a few problems for the storytelling process. For example, you may find that:
All the data cannot fit into a single plot or only a few plots.
Data operations need to be reduced and optimized to handle the size, or the data storyteller needs to work to avoid compute-intensive operations accordingly.
Getting an accurate picture of insights from large datasets is important for data storytelling.
Strategies for filtering large data
Filtering is a key concept in data storytelling that can be ...