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Scatter plots are best for showing distribution in large data sets.
- How do you visualize a large data set?
- What graphs are best for what data?
- What is the best type of plot to represent large amounts of time series data?
How do you visualize a large data set?
Visualization designs, such as Box and Whisker Chart, can help you to visualize large data sets. You can easily detect the symmetry and other hidden attributes of the data. Charts make it easy for our brains to understand data in-depth. Also, you can use them to make data-driven decisions in your business.
What graphs are best for what data?
If you want to compare values, use a pie chart — for relative comparison — or bar charts — for precise comparison. If you want to compare volumes, use an area chart or a bubble chart. If you want to show trends and patterns in your data, use a line chart, bar chart, or scatter plot.
What is the best type of plot to represent large amounts of time series data?
Stream Graph
Stream graphs are great to represent and compare time series data for multiple variables. Stream graphs are, thus, apt for large data sets.
