3. The graph was very pretty. If in the Parameters dialog, you choose "Create a new graph of the results", a new graph appears containing only the baseline-corrected data. Note that these data would not be appropriate to plot on a circular graph because the data are not for a full year. We will plot a vertical bar that goes from the reference level to the observed value. It is similar to a waterfall chart, but in many waterfall charts the values are shown as percentages, whereas for the deviation plot we will show the observed values. Best place to learn Excel online. For example, how does March data compare with October data? It is clear that on most days the patient has high blood sugar. The following deviation plot shows average temperatures and a reference value of 65F. You can use the DATTRMAP= option to tell PROC SGPLOT how to assign colors for the group values. Days warmer than baseline are displayed in one color (red for warm) whereas days colder than the baseline are displayed in another color (blue for cold). Because we will use a HIGHLOW statement to display the graph, the DATA step computes two new variables, High and Low. On selecting Add option a … The graph shows the daily average temperature in Raleigh, NC, for 2018: In this graph, it is easy to find the approximate temperature for any range of dates (such as "mid-October") and to compare the temperature for different time periods, such as March versus October. However, the graph places 31DEC2018 next to 01JAN2018 even though those values are a year apart. It is difficult to read the data values. A "deviation plot" like this can be used for many purposes. The following DATA step maps the 'High' category to red and the 'Low' category to blue: The final step is to create a high-low plot that shows the deviations from the reference value. Sanjay Matange's article shows how to create a polar plot. Let's generalize the problem. An elderly male takes oral medications to control his blood glucose level. targets of production or sales). In this Excel tutorial you will learn how to create a chart with baseline. With additional investigation, you can discover that the highest levels are associated with weekends and holidays. Enter the value of baseline in first row and drag it downward as shown below. In the temperature graph, the series began on 01JAN2018. Build one or more forecast scenarios using partners knowledgeable about causes and forces at work. However, in many cases you might want to choose which color is plotted for the high and low categories. Copyright © 2012-2020 Luke K About Contact Privacy Policy. Create a discrete attribute map that maps values to colors. Select chart window, under design option choose Select Data option. You can download the SAS program that creates the graphs in this article. The process variable can be many things – a product characteristic, downtime, rework, scrap, missed appointments, sales, etc. Now you will have a baseline on your chart window as shown below. 3. The high values are plotted in one color (red) whereas low values are plotted in a different color (blue). Compute the deviations from the reference value. If you have no historical data, then start the baseline where you are and build the history part over time. After you have enough points (from 6 to 30 depending on your process), the process average is calculated and added to the control chart. A colleague recently posted an article about how to use SAS Visual Analytics to create a circular graph that displays a year's worth of temperature data. For some of my thought about circular versus rectangular displays, see "Smoothers for periodic data.". I think the rectangular deviation plot makes an effective visualization of how these data compare to a baseline value. 2. make a change in your community, one of the first things you'll need to do is figure out how much the different factors and trends you're examining are happening in the first place Rick is author of the books Statistical Programming with SAS/IML Software and Simulating Data with SAS. The graph is shown at the top of this section. It is difficult to read the data values. It is also difficult to compare values that are on opposite sides of a circle. Sanjay Matange's article shows how to create a polar plot. Each morning he takes his fasting blood glucose level and records it. 3. Constant Baselines If you want to subtract the same value from all of your data, you have two options: You can subtract a value contained in, or derived from, a data set itself. Aim for three to five years. My colleague's display shows one year's worth of temperatures by plotting the day of the year along a circle.