This heatmap offers a powerful visual representation of data within a matrix, where the intensity of color in each cell corresponds to a specific quantitative value. It’s an excellent tool for quickly identifying patterns, correlations, and outliers across two categorical or ordered dimensions. By presenting data in a grid, with row and column labels defining two dimensions and the cell’s color representing a third, quantitative dimension, heatmaps make complex datasets more digestible at a glance and facilitate the rapid identification of hotspots and coldspots.
To adjust the gaps or overlaps you may see by a variation in your data density from the template’s, do the following after populating with your data:
- Select the Flow plot (class scatter)
- In the Property Manager, on the Plot tab, click Classes | Edit…
- To change the shape of the symbol, click Classes symbol… Here you can select from a variety of rectangle shapes that best form a grid for your data
- To change the size of the symbol, click Symbol sizes… Here you can increase or decrease the default size depending on what you need
Industry Focus: Analysis, Demographics, Environmental Science, Geology, Manufacturing, Materials Science, Metallurgy, Meteorology, Oil and Gas
Graph Features: Class, Scatter
Instructions
To use this template in Grapher:
- For the best experience, structure your data in the same format shown on this page or use the example files if provided above.
- Click Download Template at the top of this page to download a GRT template file.
- In Grapher, click File | Open and open the file.
- Click Template | Populate Template to load your own data into the template.
Data Layout
Unknown
Industry Focuses: Analysis, Demographics, Environmental Science, Geology, Manufacturing, Materials Science, Metallurgy, Meteorology, Oil and Gas
Type: Class, Scatter
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