Use AutoDiscovery to help you to identify the most promising "hot spots" and predictors in your data.
Then decide which equipments and resources best suits your data needs.
Consolidate the data gathered day by day and validate the fulfillment of your a-priori hypothesis.
Sharpen the results of AutoDiscovery with a deeper statistical analysis to make your best decisions.
Explore the most relevant relationships in accordance to your conclusions by means of the interactive Discovery Map.
Export the graphical and numerical reports to boost your paper!
Why AutoDiscovery In Your Lab?
Let Your Data
Tell The Story.
AutoDiscovery is an intelligent exploratory data analysis software that unveils complex relationships hidden in the data files of your scientific experiments and clinical studies.
These are our current collaborators. Would you like to contribute?
For Researchers. By Researchers.
What Is Exploratory Data Analysis?
Exploratory Data Analysis (EDA) aims at connecting ideas as to unveil the “why”s of potential cause/effect relationships.
For researchers and data scientists like you, the use of EDA for initial exploratory studies is crucial in the early stages of an experiment. More detailed analysis would follow from initial discoveries of interesting and significant parameter correlations within complex high-dimensional data.