Unscrambler tutorials

Get familiar with different functions in Unscrambler, and then put what you learn into practice to analyse your own data. New videos will be added covering more features and feedback from users.

Unscrambler Introduction

Introduction to Unscrambler

Explore the Unscrambler interface and learn basic data import and analysis functions.

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Unscrambler Introduction

Analysing spectral data with Unscrambler

Get an introduction to some of the functions for working with spectroscopic data in Unscrambler including import, plotting, preprocessing and multivariate methods (PCA).

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Unscrambler Tutorial

Data import

This video describes how data is easily imported into Unscrambler. Examples for import of an Excel file and a proprietary format for spectral data are shown.

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Unscrambler Tutorial

Preprocessing and transforms

Several methods for typical preprocessing procedures, such as correction for baseline offset and scatter, can be easily performed in Unscrambler.

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Unscrambler Tutorial

Building a PLS model

This video shows how to perform partial least squares (PLS) regression (PLS) to build models for predicting one or more properties of interest (dependent variable Y) based on multiple predictor variables (independent variable X).

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Unscrambler Tutorial

Data handling

Learn about useful tips for organising your data before analysis, from creating subsets of data within a table (row and column ranges) and changing variable types (numeric, category, text…) to editing values for cells and defining data as spectra.

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Unscrambler Tutorial

Building a PCA model

Often called the work horse of multivariate analysis methods, Principal Component Analysis (PCA) simplifies data by reducing it to only a few dimensions, thereby easing interpretation.

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Unscrambler Tutorial

Interpreting a PLS model

Learn how to interpret results of partial least squares (PLS) regression, including tools for assessing how well the model works for predicting the property/properties of interest, Y.

WATCH VIDEO

Unscrambler Tutorial

Diagnostics and plotting

Several plotting routines to visualise data are available from Unscrambler with just a few clicks. Other diagnostic tools available include univariate descriptive statistics (mean, standard deviation, box plot,…) and tools to assess scatter effects in spectral data.

WATCH VIDEO

Unscrambler Tutorial

Interpreting a PCA model

Learn how to interpret the main results of a PCA analysis including the scores plot to understand relationships between samples, the loadings plot to understand relationships between variables, and combining both to relate samples with variables.

WATCH VIDEO

Python tutorials

Get started using Python scripts in Unscrambler, and learn the basics of how to prepare data, run scripts and visualise the results.

Python Tutorial

Installing Python

This video shows how to download and install Python in your windows system. You need to have a Python installation (version 3.7 or higher) to run Python scripts in Unscrambler.

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Python Tutorial

Installing Python packages

Separate Python packages or libraries may be required to run certain Python scripts (dependencies). This video shows how to install Python packages.

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Python Tutorial

Running advanced Python scripts in Unscrambler

Learn how to set up new Python scripts as configurations to run from within Unscrambler.

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Python Tutorial

Installing the PyCamo package

The PyCamo Python package facilitates the connection between Unscrambler and Python. Watch this video to learn how to set it up.

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Python Tutorial

Data Import and preparation for Python scripting

This video shows how to import and organise data in Unscrambler.

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Python Tutorial

Visualising Python script results in Unscrambler

See how outputs from Python scripts can be easily visualised and interpreted using the exploratory approach in Unscrambler.

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Python Tutorial

Running a simple Python script

This video shows how to run a simple Python script from Unscrambler. The script shown comes pre-installed with Unscrambler 11, and its purpose is to verify the Unscrambler-Python installation.

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Python Tutorial

Getting Python scripts from Camo Community

Example Python scripts for import and export, plotting and machine learning are available from Camo Community. This video shows how to download a script to perform t-SNE, a machine learning algorithm.

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Process Pulse tutorials

Get started using the PAT process data management system Process Pulse. Learn how to upload models, set up data sources and combine these two in configurations to collect and visualise raw data and model results in real time.

Process Pulse Tutorial

Process Pulse overview

This video presents an overview of the PAT data management system tool Process Pulse. The capabilities of this versatile tool include recording process data from several data sources, running models to get predictions and interacting with the data, all in real time.

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Process Pulse Tutorial

Creating configurations

This video shows how models and data sources are combined in a configuration in the PAT tool Process Pulse. Define the desired output including layout, results and plots to display in the visualisation dashboard.

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Process Pulse Tutorial

Adding data source

This video shows how easy it is to set up data sources on the Process Pulse PAT platform. Data sources can be collected by Process Pulse in different ways, whether through a folder read-out or direct connection to one or several instruments, databases and/or servers.

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Process Pulse Tutorial

Model upload

This video shows how simple it is to upload models to run on the Process Pulse PAT platform. Unscrambler models that are uploaded in Process Pulse can be easily pushed into Unscrambler for detailed model review and refinement.

WATCH VIDEO

Check out our YouTube channel for more videos.

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Unscrambler tutorials

Get familiar with different functions in Unscrambler, and then put what you learn into practice to analyse your own data. New videos will be added covering more features and feedback from users.

Unscrambler Introduction

Introduction to Unscrambler

Explore the Unscrambler interface and learn basic data import and analysis functions.

Unscrambler Introduction

Analysing spectral data with Unscrambler

Get an introduction to some of the functions for working with spectroscopic data in Unscrambler including import, plotting, preprocessing and multivariate methods (PCA).

Unscrambler Tutorial

Data import

This video describes how data is easily imported into Unscrambler. Examples for import of an Excel file and a proprietary format for spectral data are shown.

Unscrambler Tutorial

Preprocessing and transforms

Several methods for typical preprocessing procedures, such as correction for baseline offset and scatter, can be easily performed in Unscrambler.

Unscrambler Tutorial

Building a PLS model

This video shows how to perform partial least squares (PLS) regression (PLS) to build models for predicting one or more properties of interest (dependent variable Y) based on multiple predictor variables (independent variable X).

Unscrambler Tutorial

Data handling

Learn about useful tips for organising your data before analysis, from creating subsets of data within a table (row and column ranges) and changing variable types (numeric, category, text…) to editing values for cells and defining data as spectra.

Unscrambler Tutorial

Building a PCA model

Often called the work horse of multivariate analysis methods, Principal Component Analysis (PCA) simplifies data by reducing it to only a few dimensions, thereby easing interpretation.

Unscrambler Tutorial

Interpreting a PLS model

Learn how to interpret results of partial least squares (PLS) regression, including tools for assessing how well the model works for predicting the property/properties of interest, Y.

Unscrambler Tutorial

Diagnostics and plotting

Several plotting routines to visualise data are available from Unscrambler with just a few clicks. Other diagnostic tools available include univariate descriptive statistics (mean, standard deviation, box plot,…) and tools to assess scatter effects in spectral data.

Unscrambler Tutorial

Interpreting a PCA model

Learn how to interpret the main results of a PCA analysis including the scores plot to understand relationships between samples, the loadings plot to understand relationships between variables, and combining both to relate samples with variables.

Python tutorials

Get started using Python scripts in Unscrambler, and learn the basics of how to prepare data, run scripts and visualise the results.

Python Tutorial

Installing Python

This video shows how to download and install Python in your windows system. You need to have a Python installation (version 3.7 or higher) to run Python scripts in Unscrambler.

Python Tutorial

Installing Python packages

Separate Python packages or libraries may be required to run certain Python scripts (dependencies). This video shows how to install Python packages.

Python Tutorial

Running advanced Python scripts in Unscrambler

Learn how to set up new Python scripts as configurations to run from within Unscrambler.

Python Tutorial

Installing the PyCamo package

The PyCamo Python package facilitates the connection between Unscrambler and Python. Watch this video to learn how to set it up.

Python Tutorial

Data Import and preparation for Python scripting

This video shows how to import and organise data in Unscrambler.

Python Tutorial

Visualising Python script results in Unscrambler

See how outputs from Python scripts can be easily visualised and interpreted using the exploratory approach in Unscrambler.

Python Tutorial

Running a simple Python script

This video shows how to run a simple Python script from Unscrambler. The script shown comes pre-installed with Unscrambler 11, and its purpose is to verify the Unscrambler-Python installation.

Python Tutorial

Getting Python scripts from Camo Community

Example Python scripts for import and export, plotting and machine learning are available from Camo Community. This video shows how to download a script to perform t-SNE, a machine learning algorithm.

Process Pulse tutorials

Get started using the PAT process data management system Process Pulse. Learn how to upload models, set up data sources and combine these two in configurations to collect and visualise raw data and model results in real time.

Process Pulse Tutorial

Process Pulse overview

This video presents an overview of the PAT data management system tool Process Pulse. The capabilities of this versatile tool include recording process data from several data sources, running models to get predictions and interacting with the data, all in real time.

Process Pulse Tutorial

Creating configurations

This video shows how models and data sources are combined in a configuration in the PAT tool Process Pulse. Define the desired output including layout, results and plots to display in the visualisation dashboard.

Process Pulse Tutorial

Adding data source

This video shows how easy it is to set up data sources on the Process Pulse PAT platform. Data sources can be collected by Process Pulse in different ways, whether through a folder read-out or direct connection to one or several instruments, databases and/or servers.

Process Pulse Tutorial

Model upload

This video shows how simple it is to upload models to run on the Process Pulse PAT platform. Unscrambler models that are uploaded in Process Pulse can be easily pushed into Unscrambler for detailed model review and refinement.

Check out our YouTube channel for more videos.