Frequently Asked Questions
How can I create a Wistats account?
Visit wistats.wisdomera.io/register and fill out your name, email, and password. You’ll receive a verification email to activate your account.
How do I log in to Wistats?
Go to wistats.wisdomera.io/login, enter your email and password, complete the CAPTCHA verification, and click Login.
How can I reset my password?
Click Forgot Password? on the login page, enter your email, and follow the reset link sent to you.
What is two-factor authentication (2FA)?
2FA adds an extra layer of security to your account. After entering your password, a temporary code will be sent to your email or authenticator app for verification.
Why can’t I log in to my account?
Ensure your email and password are correct. Check for CAPS LOCK and confirm that your account is verified through the confirmation email.
Can I change my registered email address?
Yes
Can I use Wistats with multiple accounts?
Yes. You can log in with different accounts, but simultaneous sessions on the same browser are not supported for security reasons.
Dataset and Project Management
How can I upload a dataset?
Navigate to Projects and click New Project. Then, select your data file (Excel) and upload it.
Which file types are supported for upload?
Wistats supports .xlsx file format. Ensure that your dataset headers are properly labeled and do not contain merged cells or formulas.
Can I edit my dataset after uploading?
Yes. After uploading, open the dataset in Column Details view to rename, retype. You can also generate new columns using mathematical functions.
Can I download my processed dataset?
Yes. After running analyses or transformations, go to Export and download your dataset as a new Excel file containing the processed variables and computed columns.
Functions and Calculation Operations
How can I create a new calculated column?
Go to New Column and select Mathematical Algorithm as the creation type. You can use operators (+, -, *, /) or predefined functions like mean() and max() to derive new variables.
What operators are supported in mathematical rules?
Supported operators: + (add), - (subtract), * (multiply), / (divide), and ** (power). You can also use parentheses to structure multi-level expressions.
How do I reference columns inside a formula?
Use the syntax col1, col2, etc., to refer to columns. For example, (col3 + col7) * 2 multiplies the sum of column 3 and 7 by two.
What predefined functions can I use?
Wistats supports statistical and date-based functions such as min(), max(), mean(), median(), date_min(), today(), time_dif_days(), and many others. These functions automate common analytical tasks.
Can I nest functions within each other?
Yes. You can nest functions, e.g., round(mean(col5)) or time_dif_days(today(), get_min_date(col10)). The system computes them hierarchically from inner to outer.
How can I calculate date differences?
Use date functions such as time_dif_days(date1, date2) for days, time_dif_months() for months, and time_dif_years() for years. You can combine them with today() or now() to calculate durations up to the current date.
Can I perform conditional calculations?
Yes. When defining a new column, use Column Rules to limit calculations to specific conditions (e.g., only female patients or values above a threshold).
How does Wistats handle decimal and integer results?
The round() function converts decimals to integers. You can choose whether your new column returns Float or Integer in the column setup.
Statistical Analysis and Output Generation
How does Wistats choose statistical tests automatically?
Wistats analyzes your dataset structure and variable types to determine whether to use parametric or non-parametric tests. The system considers data distribution, sample size, and measurement scale to select the most suitable test.
Which statistical libraries does Wistats use?
Wistats utilizes globally recognized Python libraries such as SciPy, statsmodels, and scikit-learn. These libraries ensure the accuracy and reproducibility of statistical computations.
What types of outputs does Wistats generate?
Wistats generates automated article-ready text outputs in both Turkish and English. The outputs include descriptive statistics, comparison summaries, and significance results written in academic format.
How does the output text structure look like?
Can Wistats perform machine learning analyses?
Yes. Wistats includes modules that can train predictive models with algorithms such as Random Forest or Logistic Regression. These features are integrated into the analytics flow for advanced users. Appropriate machine learning model selection is made automatically.
Scikit-learn library is used.
Machine learning models available in the system;
Support vector machine classification model
Do I need credits to run an analysis?
Yes. Each analysis operation consumes a certain amount of Wistats Credits. The amount depends on dataset size, number of variables, and complexity of statistical tests.
Support, Feedback and Version Information
How can I get technical support?
You can get live support from the Support menu in Wistats
Can I suggest a new feature?
Yes. In the Support section, you can propose new features or improvements. Suggestions with high community votes are prioritized in future updates.
Is my uploaded data secure?
Yes. All uploaded data is encrypted at rest and in transit. Wistats complies with GDPR and KVKK data protection regulations.
What licensing model does Wistats use?
Wistats operates under a subscription-based license. Users can choose between individual, institutional, and enterprise tiers, each with varying credit limits and support levels.