From raw data to publishable findings
Upload lab results, experimental measurements, or academic datasets. OakPrism runs correlation, regression, factor analysis, and clustering — with proper statistical reporting.
What OakPrism finds in your research data
24
Variables
3,841
Observations
7
Significant Correlations
0.84
R-squared (Best Model)
Example Finding
Temperature and reaction rate show a strong positive correlation (r=0.91, p<0.001). A multiple regression including humidity and pressure explains 84% of variance.
Frequently Asked Questions
What statistical methods does OakPrism support?
Correlation (Pearson, Spearman, Kendall), linear and logistic regression, PCA/factor analysis, K-means and hierarchical clustering, time series decomposition, and survival analysis (Kaplan-Meier, Cox PH).
Can I request a specific analysis type?
Yes. Add a prompt when uploading (e.g. "run a regression of yield on temperature and pressure") and OakPrism routes to the correct analysis engine. You can also let it auto-detect.