The histogram of price is roughly symmetric and single-peaked. The median price is $500 and the majority of laptops sell for prices between approximately $265 and $810. How does price change with configuration? Are prices consistent over retail outlets? Then allow dynamic transformations and allow you to plot the data by weekly or monthly aggregates, Does price change with time? (Hint: Make sure that the date column is recognized as such. At what price are the laptops actually selling? In general, it is important to properly format and annotate the We show below a few examples, which are by no NOTE: There are many ways of visualizing these data. Check to ensure that the data and modeling types in the data table areĬorrect for each of the variables, and answer the following questions. Import the data into JMP (for details on importing data into JMP, search for ‘‘import text files’’ in the JMPĭocumentation or at jmp/learn). Planning a product strategy and pricing policies that will maximize Acell’s projected revenues in 2009. You need to help the company with their business goal of You haveīeen provided with data about products and sales. Scenario: Imagine that you are a new analyst for a company called Acell (a company selling laptops). This is a subset of the fullĭataset that includes data for the entire year. The file LaptopSalesJanuary2008Ĭontains data for all sales of laptops at a computer chain in London in January 2008. Selection tool to select the output, then use Save Selection As (or Export) to save as a jpg, Powerpoint, or inģ Laptop Sales at a London Computer Chain: Bar Charts and Boxplots. Use the Selection Tool to copy and paste into another program. Search for ‘‘saving work’’ in the JMPĭocumentation or see the Using JMP section of the JMP Learning Library at jmp/learn. Explore different methods for saving your work in JMP. It appears that owners have higher incomes and larger lot sizes.ī. Relationship(s) of ownership to lot size and income. The result should be similar to Figure 9. Create a scatterplot of lot size versus income, color-coded by the outcome variable Ownership. The marketing expert looked at a random sample of 24 households, given in the file RidingMowers.Ī. Households as prospective owners or nonowners on the basis of income (in $1000s) and lot size (in 1000 ft 2 ). In particular, the manufacturer is interested in classifying Sales prospects for an intensive sales campaign. A company that manufactures riding mowers wants to identify the best Statistic (on the bottom left) was changed to Sum.ģ Sales of Riding Mowers: Scatterplots. In the graph below, the variable Year, created in the previous step, is used in the X zone. You’ll need to create a transformed variable in Graph Builder.
#Jmp graph builder group by scatter plot series#
Create a line graph of the series at a yearly aggregated level (i., the total shipments in each year). In the graph below, a transformed variable for Year was also created. Quarters Q2 and Q3 are larger than in quarters Q1 and Q4. From the above plot we can see that the shipments for Yes, we can see differences between the quarters. Then drag this new column to the Overlay, Wrap or Group Y zone. This can be achieved byĬreating a transformed variable (right-click on Quarter in the Graph Builder, and select Date Time, Create one chart with four separate lines, one for each of Q1, Q2, Q3, and Q4.
The time series plot shows a repeating patternĮach year (increasing shipment in Q2 and Q3 and decreasing shipments in Q1 and Q4).Ĭ. Yes, there appears quarterly pattern in the above time series. Does there appear to be a quarterly pattern? For a closer view of the patterns, try zooming in on different Create a well-formatted time plot of the data using the JMP Graph Builder.ī. Quarterly shipments (in millions of dollars) of US household appliances between 19.Ī. The file ApplianceShipments contains the series of 3 Shipments of Household Appliances: Line Graphs.