Scatter Plots are incredibly useful when looking at large data sets. It's often quite difficult to identify outliers in very large databases.
Reports and standard table displays are hard and time-consuming to interpret, and aggregations of the data — which can make reports and tables easier to understand — can mask outliers and make them difficult or impossible to see.
Scatter Plots are an excellent information visualization to select when you are looking for outliers in large datasets. They are particularly useful in financial services applications.
Panopticon's Scatter Plot data visualizations are easy to set up and are highly customizable. You can configure your display in ways that will make the most sense to you and your users, and users have all the tools they need to filter and manipulate the Scatter Plot to concentrate on the most relevant subsets in the data.
This Scatter Plot maps Dividend Yield on the Y axis and Cashflow Yield on the X axis. Color is used to differentiate companies by sector. Each point represents a single company, and the size of each circle corresponds to the market cap for that company compared to all other companies in the dataset. This Scatter Plot makes it easy to see that Volkswagen is performing very well in terms of Cashflow and Dividends, and that Lloyds TSB is the leader by far in terms of Yield.
Scatter Plots are a fairly sophisticated visualization and are best used to explore and discover data. You can quickly identify outliers and anomalies and then take corrective action if needed while a problem is small — before it becomes unmanageable.
Scatter Plots are a great companion to the other data visualizations we offer — particularly our Treemap and Heatmap visualizations — and many of our customers use them in multi-visualization displays. They can use the Scatter Plot to find interesting data points and then use other visualizations to look at the same data from different perspectives, or to present findings to their colleagues.
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| This online demo uses a Geographic Scatter Plot to display UN statistics o changes in forest cover over the period of 1990 through 2005. |
Geographic Scatter Plots:
easy to interpret with virtually no training
There are many instances when you must correlate changes in complex databases with physical locations. The Geographic Scatter Plot makes this easy and allows even the most non-technical users to explore and understand the information stored in their systems. Geographic Scatter Plots can sometimes reveal surprising and unexpected groupings that would be difficult to identify in traditional reports. They are also excellent presentation tools and can help convey important findings to the public or decision-makers.
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| This online demo uses Geographic Scatter Plots and Treemaps to make it easy to find correlations between airlines, aircraft manufacturers and locations in air crash statistics. |
Panopticon's Geographic Scatter Plot data visualizations are highly customizable. You can use any map image you like and define coordinate systems that match the resolution of your map. Hover displays automatically pop up when the cursor moves over a data point on the map to show detailed information. Geographic Scatter Plots also support all of the filtering and zooming tools you have come to expect in Panopticon's data visualization software.
Availability
Scatter Plots data visualizations are included in:
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