Mastering JMP Data VisualizationYou can watch the on-demand version of the video "The Legend of 1970" here.
- This is an on-demand version of a webinar held in February 2023.
- The seminar content has been re-edited for on-demand viewing, and you'll learn the following key things:
- Learn about data visualization features in JMP
- How to use "Graph Builder"
- Examples of using animation functions (bubble plots, data filter animations)
- Statistics and Data Visualization
- Examples of when it is effective to perform statistical analysis while looking at graphs
- The video consists of two chapters (Chapter 1 and Chapter 2), and each chapter is divided into three sections (Section 1 to Section 3).
*This seminar uses JMP 17.0.0, the latest version at the time of video creation (February 2023).
Chapter 1:Learn about JMP's key visualization features
Section 1 explains what data visualization is, and Section 2 shows the various graphs that can be drawn in JMP and explains the features and basic operation of Graph Builder, the primary function for drawing graphs.
In the final section, Section 3, we introduce JMP's animation features, which are effective when visualizing time series data.
Section 1 : What is data visualization? (7 minutes 20 seconds)）
- What is Data Visualization?
- What is the purpose of data visualization?
- Data visualization for various purposes
Section 2 : Graphs that can be drawn in JMP and examples of using the Graph Builder (22 minutes 43 seconds)
- Introduction to graphs that can be created with JMP (from the graph gallery)
- JMP features for graph creation (drawing graphs appropriate to the scale, stratification function, filter function)
- Examples of using Graph Builder for key data visualization use cases (Graph Builder demo starts at 5:57)
Section 3 : Visualizing time series data using animation (13 minutes 40 seconds)
- What is time series data?
- Bubble Plot Animation
- Local Data Filter animation feature (demo starts at 1:52)
Chapter 2:Statistical methods and related data visualization
Section 1 explains the statistical functions and data visualization of JMP, and Section 2 provides examples of statistical analysis with graphs in JMP. The final Section 3 provides examples of effectively utilizing data visualization to examine data when analyzing data in JMP.
Section 1 : JMP Statistics and Visualization (3 minutes 49 seconds)
- "Interactive visualization features" and "Powerful statistical analysis features"
Section 2 : Statistical analysis with graphs - Examples - (21 minutes 58 seconds)
- Splitting the histogram (from 0 minutes 14 seconds)
- Do you meet the prerequisites for the test? (From 7 minutes 6 seconds)
- Cross-tabulation tables make it difficult to understand relationships (from 12 minutes 3 seconds)
- Which model should I use? (18 minutes 9 seconds)
Section 3 : Examples of using data visualization in data analysis (16 minutes 18 seconds)
- Provides visualizations that are useful for monitoring data before detailed statistical analysis
- Identify where missing values occur
- Identify outliers in continuous variables
- Extract important relationships between variables
