The document outlines new features and improvements in Minitab's statistical software, emphasizing enhanced data visualization tools like parallel coordinates plots, binned scatterplots, and heatmaps. It highlights updates in predictive analytics, including model validation for logistic and Poisson regression, along with an accessible cloud platform for broader usability. Minitab aims to empower organizations to make better data-driven decisions and streamline their analytical processes.

1. Maximizing Efficiencies
Visualizations
That Make an Impact:
See What’s New with
Minitab Statistical Software

2. © 2020 Minitab, LLC.
Jenn studies how organizations solve
analytical problems to ensure that
Minitab delivers on our commitment to
make data analytics easier.
As a classically trained statistician, Jenn
has worked, trained and consulted in the
field of analytics for over 25 years.
Meet the Presenter:
Jenn Atlas
Global Market Development Manager

3. © 2020 Minitab, LLC.
AGENDA
Introduction to Solutions Analytics
Visualizations with Impact:
See What’s New with Minitab Statistical Software
Statistical Process Control and Predictive Analytics
- Upcoming Webinars
Jenn Atlas
Global Market
Development
Manager
Mark Ellis
Area Marketing
Manager
3

4. © 2020 Minitab, LLC.
How Do Minitab’s Solutions Analytics Help Your Business Succeed?
4
Discover Valuable Insights and Trends
Predict Results and Outcomes
Achieve Successful Products & Processes
Transform Data Driven Decision Making Across Your Organization
…with our best-in-class Data Analysis and Process Improvement suite

5. Solutions analytics is our integrated approach
to enable organizations to make better decisions
that drive business excellence
Software & services used by over 85% of the Fortune 500

6. © 2020 Minitab, LLC.
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Empower your organization to make better
decisions to drive business excellence
New Minitab Statistical Software delivers impactful:
 Visualizations
 Statistical analysis
 Predictive and improvement analytics
- including Python integration & CART
…everyone can use!

7. © 2020 Minitab, LLC.
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8. © 2020 Minitab, LLC.
 New: Report
 Platform extension
Minitab Statistical Software now available on
the cloud via new web app
Contents
► Interface Improvements
 Multi-Select in Navigator
► Statistical Methods
 Model selection for Classification and
Regression Trees
 Model Validation for Binary Logistic
Regression and Poisson Regression
► Visualizations
 Update: Variability Chart
 New: Parallel Coordinates Plot
 New: Binned Scatterplot
 New: Heat Map
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9. © 2020 Minitab, LLC.
Interface Improvement: Multi-Select in the Navigator
Improvement:
Ability to select multiple items from the Navigator that was
introduced in Minitab 19.1.
User Benefit:
Selecting a range of output makes it easier for users who
need to remove or send output from the Navigator.
Summary:
One of the top feedback items from users, this improvement
makes sending or removing multiple items from the
navigator much easier.
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Click to add text

10. © 2020 Minitab, LLC.
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Data
Analytics
Actionable
Insights

11. © 2020 Minitab, LLC.
CART (Classification and Regression Trees)​
► Tree-based machine learning​
► Builds classification and regression models in the
form of a tree structure
► Available for continuous, binary or multinomial
targets​
► Ideal for large observational datasets​
► Offers automatic variable selection​
► Output is easy to interpret
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12. © 2020 Minitab, LLC.
Improved Model Selection for Classification and Regression Trees
Improvement:
When evaluating alternate models, users now
have an all in one view of the decision tree, scree
plot and node details.
User Benefit:
Users can see the decision tree, model and node
details in a single view, making alternative model
selection easier than ever.
Summary:
When users choose to view an alternative tree, a
single view provides them with detailed
information for all possible models.
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Scree Plot Navigator
Details
Tree View

13. © 2020 Minitab, LLC.
MODEL VALIDATION
Ensuring your models fit well
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14. © 2020 Minitab, LLC.
Validation
Data is usually split into a training set and a test set:
► Training (or learn) data is used to create the model and
estimate the model coefficients.
► Test data is used to assess model performance. It is used to
produce fitted values, which are then compared to the
corresponding observed responses in the test data to assess the
model’s predictive ability.
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15. © 2020 Minitab, LLC.
Validation: Reinforcing Predictions
► Assessing the “goodness” of a model with the same data that is used to fit the model leads to
overfitting and overfit models do not predict well.
► Validation is an honest assessment of how well the model will fit the new data.
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16. © 2020 Minitab, LLC.
Model Validation in Binary Logistic Regression and Poisson Regression
Improvement:
Model validation is now available in Binary
Logistic and Poisson Regression.
User Benefit:
Validation is the process of evaluating a trained
model on a test data set. This feature makes it
easier for users to create useful models.
Summary:
Validation prevents model overfitting, which is an
important aspect in machine learning. This
feature is now available in the Predictive
Analytics menu and within Stat-Regression,
Stat-Binary Logistic Regression and Stat-Poisson
Regression
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17. © 2020 Minitab, LLC.
Visualizations: Variability Chart
Improvement:
Two improvements are added to the chart that was introduced
in Minitab 19.2:
1. The ability to specify multiple response variables
for a given set of factors – this results in multiple
graphs, one for each response.
2. The ability to brush individual observations.
User Benefit:
It is easy to create multiple variability charts with a single
click. Also, exploring data is easier with the added ability to
brush individual observations.
Summary:
The Variability chart dialog can now support multiple
responses, and brushing points is available when interacting
with the graph.
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18. © 2020 Minitab, LLC.
New Visualizations: Parallel Coordinates Plot
Addition:
A parallel coordinates plot is a graph that
displays multivariate numerical data, making
it easy to visualize multiple dimensions.
User Benefit:
Parallel plots represent high dimensional
data as a 2-dimensional visualization. Data is
represented in the form of a line making it
easy to visualize trends.
Summary:
The parallel coordinates plot is an efficient
way to visualize multidimensional and
multivariate data.
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19. © 2020 Minitab, LLC.
New Visualizations: Binned Scatterplot
Addition:
A binned scatterplot is a visual to display the
relationship between two continuous variables
when the dataset contains many observations.
The gradient can be defined by observation
frequency or by the mean of another variable.
User Benefit:
Using a gradient to differentiate the density of data
on a scatterplot makes it easier to communicate
information to users. Users can also define the
gradient as an average of another variable,
providing additional flexibility for the visualization.
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Summary:
Binned scatterplots create meaningful graphics when displaying information for large data sets.

20. © 2020 Minitab, LLC.
New Visualizations: Heat Map
Addition:
A heatmap is a visual to display the impact of
multiple categorical variables on a metric. The
multiple categorical variables are displayed in
a table layout with a gradient to display a
function of a metric (e.g., percent defects,
average customer satisfaction rating).
User Benefit:
Heatmaps identify areas of interest. They can
quickly uncover scenarios that lead to a high
or low values.
Summary:
Heatmaps are located in the Graph menu,
between the Bar and Pie Charts. When you
have a large number of factor levels, they may
be easier than a bar chart to communicate
areas that are different.
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21. © 2020 Minitab, LLC.
Update: Report
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Addition:
A Report within a Minitab project.
User Benefit:
Create and view reports directly within
your Minitab Project file, making it easy to
organize results. Reports are customizable
and support the aggregation and curation
of live-linked Minitab tables and graphs.
Users can also add annotations to a
Report.
Summary:
Reports can be easily created within
Minitab projects and are easily discovered
in the Navigator. With a single click, users
can send to Microsoft Word, Microsoft
PowerPoint, Companion by Minitab or
Minitab Workspace

22. © 2020 Minitab, LLC.
• Access from nearly any device
• Available as both our desktop app and
new web app
• Share projects with a single click
• Access and store from Google DriveTM,
Microsoft OneDrive® or local files
• Single sign-on available
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Now from anywhere on the cloud

23. © 2020 Minitab, LLC.
 Access from nearly any device
 Available as both our desktop app and
new web app
 Share projects with a single click
 Access and store from Google DriveTM,
Microsoft OneDrive® or local files
 Single sign-on available
23
Now from anywhere on the cloud

24. © 2020 Minitab, LLC.
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• November 18
Streaming Analytics: Introducing the Next Generation of Statistical
Process Control
• December 2
Tips & Tricks for CART in Minitab Statistical Software
• December 9
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