How does the principle of 'small multiples' aid in comparative data analysis?
- It emphasizes the use of small-sized charts to fit more data on a single page, improving visualization density.
- It focuses on reducing the overall size of the dataset to simplify analysis, making it more manageable.
- It involves breaking down a dataset into small, similar subsets and presenting them side by side for easy comparison, revealing patterns and trends.
- It suggests using minimalistic design elements to create a clean and uncluttered visual presentation of data.
The principle of 'small multiples' involves creating multiple, small charts or graphs, each representing a subset of the data. This aids in comparative analysis by allowing users to quickly identify patterns, trends, and variations across different subsets.
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