The dataset ToyotaCorolla.jmp contains data on used cars on sale during the late summer of 2004 in the Netherlands. It has 1436 records containing details on 38 attributes, including Price, Age, Kilometers, HP, and other specifications.
- Explore the data using the data visualization (e.g., Graph > Scatterplot Matrix and Graph > Graph Builder) capabilities of JMP. Which of the pairs among the variables seem to be correlated? (Refer to the guides and videos at jmp.com/learn, under Graphical Displays and Summaries, for basic information on how to use these platforms.)
- We plan to analyze the data using various data mining techniques described in future chapters. Prepare the dataset for data mining techniques of supervised learning by creating partitions using the JMP Pro Make Validation Column utility (from the Cols menu). Use the following partitioning percentages: training (50%), validation (30%), and test (20%). Describe the roles that these partitions will play in modeling.
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BigDatafileszipped2.zip
.DS_Store
Accidents Extra.jmp
0.008707483
Accidents NN.jmp
0.0
Accidents.jmp
0.008707483
Accidents1000 DA.jmp
0.012
Airfares.jmp
0.0
Amtrak.jmp
0.0
AmtrakTS.jmp
0.0
ApplianceShipments.jmp
0.0
Audits.jmp
0.008
Audits2.jmp
0.0
AustralianWines.jmp
0.0
Bankruptcy.jmp
0.008
Banks.jmp
0.008707483
Banks-adj.jmp
0.008707483
Baregg Daily.jmp
0.078367345
BathSoap.jmp
0.38073468
USEFUL NOTES FOR:
Explore the data using the data visualization (e.g., Graph > Scatterplot Matrix and Graph > Graph Builder) capabilities of JMP. Which of the pairs among the variables seem to be correlated? (Refer to the guides and videos at jmp.com/learn, under Graphical Displays and Summaries, for basic information on how to use these platforms.)
Introduction
In this tutorial, you’ll learn how to use graphs and visualizations to help you make sense of data.
Explore the data using the data visualization (e.g., Graph > Scatterplot Matrix and Graph > Graph Builder) capabilities of JMP. Which of the pairs among the variables seem to be correlated? (Refer to the guides and videos at jmp.com/learn, under Graphical Displays and Summaries, for basic information on how to use these platforms.)
Explore the data using the data visualization (e.g., Graph > Scatterplot Matrix and Graph > Graph Builder) capabilities of JMP. Which of the pairs among the variables seem to be correlated? (Refer to the guides and videos at jmp.com/learn, under Graphical Displays and Summaries, for basic information on how to use these platforms.)
Use graphs and visualizations to help you make sense of data
Consider using the Graph > Graph Builder tool if you want a more complex graph
Use graphs and visualizations to help you make sense of data
Graphs and visualizations can help you make sense of data.
Graphs are a good way to visualize data, because they show patterns and relationships between variables.
You can use graphs to show how two or more variables change over time, or how one variable changes when another changes (for example, if you want to see whether your sales team is growing).
Conclusion
With so many different data visualization options in JMP, it’s easy to get overwhelmed. But with a few guidelines and some practice, you can quickly become an expert at using these tools for your own analysis needs.