Time Series Correlation Analysis with Visplore

Save valuable time in your correlation analysis.

Correlation analysis is a key feature of every Visplore version, including Visplore Free.

Visplore Correlation Analysis in Action

Deep correlation analysis
without preparation and effort

All Visplore versions feature powerful interactive tools for correlation analysis. These tools will help you to discover and model correlations while minimizing the effort for data preparation and result validation.

Discover correlations among dozens of variables in seconds
Understand correlations with a specific target variable
Access correlation coefficients and p-Values any time
Validate correlations in scatterplots & time line views with 1 click

Refine your results by selecting coherent, plausible data – all correlations update immediately
Break down complex correlations by unlimited drill-down possibilities
Fit and export regression functions

Different product types form clusters that can easily be distinguished for correlation analysis.
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Discovered clusters can easily be selected to focus the analysis on the relevant cluster.
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Correlation Analysis with Visplore

When working with real data, correlation analysis can be full of challenges.

Outliers may introduce bias. Misleading results may be produced if the data consists of multiple clusters and these are disregarded. For example, changes to an industrial process may affect how sensors correlate with each other and require that correlations are computed separately before and after the change. In general, data preparation and result validation are important when analyzing correlations and may account for the majority of the overall effort.

Visplore reduces those challenges to a minimum – and saves you valuable time.

Working with correlations

Correlations between variables play a key role in data science, engineering, and many other fields. The purpose of correlation analysis is manifold and ranges from data exploration and feature selection to understanding sensitivities and doing root-cause analysis of industrial process data.

Why our customers
prefer Visplore

Perfect for dirty sensor data. With Visplore, we give customers more insights for the same money.

Research Engineer, R&D Consultancy Firm

When we need it fast, we use Visplore.

Data Scientist, Hydropower Company

Visplore enabled us to gain significant new insights from massive data about the impact of production process parameters on product quality.

Process Expert, Refractories Enterprise

Thanks to its ease of use and high performance even with millions of measurements, Visplore has established itself as our standard tool for quality management in plants from China to South America.

Head of R&D, Refractories Enterprise

Checking and cleaning data from energy systems used to be very time-consuming and kept us from our core tasks. With Visplore, data preparation has become much faster, and the quality of the resulting data has improved.

Leader of Energy Innovation Lab

The good usability and the comprehensive visualizations enabled us to gain a deeper understanding of routinely collected data and their relationships. For example, this increased the quality of forecast models.

Expert Renewable Energy, Transmission System Operator

Visplore is recognised and in use as a central strategic software for data analytics throughout the company.

Coordinator of Renewable Energy Data, Transmission System Operator

By analyzing process data from a large foundry with Visplore, complex dependencies were detected that we didn’t find with other software. As a result, our customer’s heat energy was reduced by around 5% and mold wear by around 4%.

Process Expert, Foundry Research Institute

For our thermodynamical simulations, Visplore helps us to identify suitable data, eliminate outliers, and analyze physical processes very effectively.

Manager Process Engineering, Thermal Energy Company

The visualization is fast and simple enough for live collaboration with the customers, on site. By this, Visplore supports a thorough understanding of correlations, outliers, and anomalies.

Head of Research in Industrial Data Science, R&D Research Institute

Visplore makes our analysis of sustainable energy systems much more efficient.
In addition to the performance for large data, its integration with scripting environments is a big plus.

Research Engineer, Energy Research Center

Visplore allows for a much easier investigation of relevant patterns and structures. Our downstream analysis becomes more efficient and we gain more confidence in the results.

Main Data Scientist, Hydropower Provider