Interactive Statlets - Visualization
The Wind Rose Statlet displays data on a circular plot, depicting the frequency distribution of variables such as wind speed and direction. It may be used to display the distribution at a single point in time, or it may show changes over time in a dynamic manner.
The Demographic Map Visualizer (Regions) Statlet is designed to illustrate changes in regional statistics over time. Given data for each of k regions during p time periods, the program generates a dynamic display that illustrates how the data have changed in each region. Each region is drawn using a color that illustrates the level of the selected variable. As time changes, the analyst can follow changes in the data within each region.
The Demographic Map Visualizer (Locations) Statlet is designed to illustrate changes in location statistics over time. Given data at each of k locations during p time periods, the program generates a dynamic display that illustrates how the data have changed at each location. The data at each location is drawn using a bubble whose size is proportional to the observed data value.
- A barchart format in which the height of the bar indicates the distance from the mean. The chart represents the status of the variables at a single point in time. Bars are color-coded according to the number of standard deviations each observation is from its mean.
- A linechart illustrating how the deviations have varied over time.
In each case, limits are drawn on the chart at 3-sigma.
The Open-High-Low-Close Candlestick Plot Statlet is designed to plot security prices in a manner often used by stock traders. It shows the opening price for each trading session, high and low prices during the session, and the closing price using a graphical image often referred to as a candlestick. Trading volumes may also be displayed as bars along the bottom of the plot.
In addition to the raw data, a smoother may be added to the plot using either a simple moving average or an exponentially weighted moving average. Trading bands may be plotted around the smoothed line at either a fixed percentage or using the method developed by Bollinger. The %b statistic is calculated to measure where the closing price lies with respect to the bands. A bandwidth is also calculated to measure volatility.
The Dynamic Pareto Chart Statlet is designed to create a Pareto chart that shows how data corresponding to a set of categories changes over time. Given data representing n categories observed over p time periods, the program generates a dynamic display that illustrates how each of the categories has changed over time. Typical applications include plotting:
1. Counts of nonconforming items in a production process.
2. Sales figures for individual salespeople in a company.
3. Public health data on a state-by-state or country-by-country basis.
The basic chart shows a multiple barchart in which the categories have been sorted from greatest to least. The chart evolves over time, with categories switching places when the sort order changes. Bars may be colored to represent an additional variable.
The Radar/Spider Plot is used to illustrate the values of up to 16 variables on a small number of cases. It is often used in sensory evaluation to display ratings on multiple attributes.
The Spiral Plot Statlet plots time series data along an Archimedean spiral that starts near the center of the plot and spirals outward. It is particularly helpful for displaying large amounts of data that exhibit a seasonal pattern. Data may be shown using bars, point, or lines.
