I can't log in after I sign up. What should I do?
Refresh the website, log in, or sign up again. Don't hit any buttons, and wait until the triathlon image in the upper-right corner stops running.
Support FAQ
Quick answers to the most common questions about using the Averisys Analytics platform.
I got logged out while using the platform. What should I do?
Refresh the website, log in, or sign up again. Don't hit any buttons, and wait until the triathlon image in the upper-right corner stops running.
I have a problem uploading the data. What should I do?
Click the "Need help uploading?" box above the data uploading section. Then click Reset upload control. If a new project was just created/opened and the upload control is unresponsive, reset it here. If a file is very large, Streamlit may reject it based on the server's max upload size.
Should I wait until the triathlon image in the upper-right corner of the platform stops moving?
Yes. If you click any button while the triathlon image in the upper-right corner of the platform is moving, you can get locked out.
How can I turn off the walkthrough pop-up notes?
Click Turn off walkthrough in the walkthrough pop-up.
How can I turn on the walkthrough pop-up notes?
Click Turn on walkthrough notes in the sidebar menu.
How can I restart the walkthrough pop-up notes?
Click Restart walkthrough in the sidebar menu.
Where can I download my cleaned data?
After the data is cleaned, click Download your cleaned data.
Is the analysis result based on the cleaned data?
Yes.
Should I download the cleaned data after Averisys cleans it and upload it again to get the results?
No. You don't need to upload the cleaned data. Averisys automatically analyzes the cleaned data after it has cleaned it. The analysis result is based on the cleaned data.
What does the p-value indicate?
If the p-value is less than 0.05, the results are significant (e.g., significant impact, relationship, or difference).
What does the F-value indicate?
Imagine you are testing three different teaching methods to see which one helps students score best on a test. The F-value (or F-statistic) tells you if the differences between those groups are "real" or just due to random chance.
- Low F-value (around 1): The groups are very similar. The differences are likely random noise.
- High F-value: The differences between the group averages are large compared to the random noise within the groups. This indicates a significant result, meaning at least one group performed differently from the others.
What are the Outcomes and Predictions?
- Outcome (Dependent Variable): This is the main thing you are trying to measure or predict, which "depends" on other factors. In a study on how study hours affect exam scores, exam scores are the outcome.
- Predictions (Independent Variables / Predictors): These are the factors you use to make an educated guess about the outcome. In the example above, study hours are the prediction/predictor.
What is a Mediator?
A mediator explains the "how" or "why" behind a relationship between an outcome and a predictor. It is the "middleman" in a chain reaction.
Example: Study Hours (Predictor) → Better Understanding (Mediator) → Higher Exam Scores (Outcome).
Explanation: Studying alone doesn't raise scores; studying helps you understand the material better, which in turn leads to higher scores. "Better understanding" is the mediator.
Still need help? Contact Averisys or browse the Averisys Support guides.
Step-by-step support guides
Every step of the platform workflow is documented, from creating an account to interpreting results. Select any guide to read the full instructions.