The Gantt mark for each dimension member will start at the beginning of the range, so we need to isolate the value for the worst performing month per row. The trick to creating a ranged dot plot is to combine a traditional dot plot with a Gantt chart representing the performance range for each dot. Now, if I place this calculated field on the Color Marks Card, change the colors to a diverging palette, and map one color for positives and one color for negatives – I can quickly compare performance between dimension members and between months.Ĭreating a Gantt Chart to Display Performance Ranges In either case, we need to make a calculated field that determines the month over month change. You could also change the mark type to Shape and map up triangles for positive changes and down triangles for negative changes. The next step is optional, but I typically like to add at least one more comparison to a dot plot by coloring each circle based on the period over period performance of each dimension member. The dot plot is already providing one comparison: Region. If I show the parameter control and change the value of the parameter to 8, the value of 8 will replace the value of 1 in my Current Month’s Sales calculated field, and we will be looking at August’s sales per region. Since the first allowable value in my case is 1, so far we are looking at January’s sales by region.
To analyze this measure by the Region dimension as a dot plot, place the newly created calculated field on the Columns Shelf, the Region dimension on the Rows Shelf, and change the mark type to Circle.īy default, the current value of a parameter is the first allowable value. The first thing we need to do is isolate the performance for the current month.
pretending there’s only one year of data). Also, the sample data has four years of data in it, but we will aggregate all four years into one (i.e. You can create this chart with any measures and dimensions, but I will look at current month’s sales by region in the Sample – Superstore dataset.įor ease of illustration, I have parameterized the current month selection so the user can choose any month between January and December as the “current” month. Let’s knock out the traditional dot plot portion of this chart first.
#Compare heights with dot plot how to
This post shows you how to add a performance range for each dimension member represented in a dot plot.īy the end of this post, you will be able to make a dot plot showing the period over period performance across dimension members with a performance range for each dimension member in the background. You can also add even more context by coloring the dot and/or changing the mark type of the circle to up or down triangles, based on period over period performance.īoth of these additions to a traditional dot plot help provide comparisons that paint a clearer picture of whether changes in performance are notable.
#Compare heights with dot plot full
Sometimes the variables don't follow any pattern and have no relationship.Ranged dot plots display not only a circle mark representing the current performance for a specific dimension member, but a full range of how that ‘dot’ has moved over time. If one variable decreases while the other increases, they have a negative relationship. If both variables increase at the same time, they have a positive relationship. The x-axis is used to measure one event (or variable) and the y-axis is used to measure the other. X-Y plots are used to determine relationships between the two different things. Area graphs are good to use when you are tracking the changes in two or more related groups that make up one whole category (for example public and private groups). They can be used to track changes over time for one or more groups. However, when trying to measure change over time, bar graphs are best when the changes are larger.Īrea graphs are very similar to line graphs. They do not show changes over time.īar graphs are used to compare things between different groups or to track changes over time. Pie charts are best to use when you are trying to compare parts of a whole. Line graphs can also be used to compare changes over the same period of time for more than one group. When smaller changes exist, line graphs are better to use than bar graphs. Line graphs are used to track changes over short and long periods of time. What are Independent and Dependant Variables? How to Choose Which Type of Graph to Use?
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