Filter your data by clicking the down arrow next to Filter.In this example, the observations for each year have been giving a different color. Click the down arrow beneath Color By to add a color to specified variable.Then click Explore – Chart Wizard and select Parallel Coordinates.
#Parallel plot tv
Using Analytic Solver Cloud to Create a Parallel Coordinates ChartĬlick Help – Example Models – Forecasting / Data Mining Models in Analytic Solver Cloud to open the Sports TV Ratings dataset. To reopen the chart, on the Data Mining ribbon, from the Data Analysis tab, select Explore - Existing Charts - Parallel. For this example, type Parallel for the chart name, then click Save. To cancel the save and return to the chart, click Cancel. To save the chart for later viewing, click Save. To exit the graph, click the red X in the upper right-hand corner of the Chart Wizard Window. To add a variable to the matrix, check the desired variable under Filters. To remove a variable from the matrix, uncheck the desired variable under Filters. When most lines between two parallel axis are somewhat parallel to each other, it suggests a positive relationship between these two dimensions. In these same years, the ratings for the Daytona 500 was correspondingly lower. There are just four years wheree high ratings for the Indy 500 was recorded. parallelcoords (x) creates a parallel coordinates plot of the multivariate data in the matrix x.
When looking at the observations for each feature, this chart shows that in most years, the viewship of the Indy 500 was low whereas the viewship for the Daytona 500 was high.
As a result, this chart already conveys that the viewership for the Daytona 500 is larger than the viewship for the Indy 500. Each vertical bar represents a variable and often has its own scale.
#Parallel plot series
The range of ratings for the Indy 500 has a high of 10.9 and a low of 2.3 whereas the range for the Daytona 500 is 11.3 to 4.4. Parallel plot or parallel coordinates plot allows to compare the feature of several individual observations ( series ) on a set of numeric variables. The first thing that we notice is the range of each of the races that are indicated at the top and bottom of each vertical line. Select two variables, Indy 500 and Daytona 500. Click Finish to draw the plot. The Chart Wizard - Variable Selection dialog opens. Select Parallel Coordinates, and click Next. Select a cell within the dataset, say A2, then click Explore – Chart Wizard on the Data Mining ribbon. Observations that are contained within the same record are connected by a line.Ĭlick Help – Examples on the Data Mining ribbon to open the example dataset, SportsTVRatings.xlsx. Observations for each feature are recorded as dots on the vertical line. This type of graph starts with a set of vertically drawn parallel lines, equally spaced, which corresponds to the features included in the graph. YAxisDescriptionPlural: 'The chart has 7 Y axes across the chart displaying Training date, Miles for training run, Training time, Shoe brand, Running pace per mile, Short or long, and After 2004.The example below illustrates the use of Analytic Solver Data Mining’s chart wizard in drawing a Parallel Coordinates Plot using the dataset.Ī parallel coordinates plot allows the exploration of high dimensional datasets, or datasets with a large number of features (variables).
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