🌟 New Features

• ROC & Precision-Recall Curves in the Models section: When training a predictive model, you’ll now have detailed performance insights. Evaluate your model’s performance with ROC and Precision-Recall curves, giving you a clearer understanding of its strengths and weaknesses.
• Discretize date columns in the Summary Table: You can now group date columns directly in the Summary Table (Group by)! Discretize by Year, Month, Week, Day, Hour, and more to make analyzing date-based trends easier and more flexible.
• Format numbers in the Table & Summary Table (Plot): Bring consistency to your data presentations by formatting numbers in tables. Add decimal precision for better comparison or use a compact format like 1.23k for large numbers.
• ‘Count Where’ and  ‘Percent Where’ are now available as an aggregation option in the Summary Table: Unlock new aggregation possibilities with the Count Where and Percent Where options. For example, calculate the percentage of users in a segment (e.g., Age 18–30, Male, from Barcelona) who voted for a specific political party.
• Now you can manually adjust the width of the table columns: Say goodbye to truncated headers! You can now manually adjust table column widths, making it much easier to handle long column names and optimize table readability.
• Group by and Create Bins by Quantiles: Introducing dynamic quantile creation for variables in plots and tables! This is especially helpful for skewed data distributions. For instance, when your model's predicted probabilities are mostly low with a few high values, you can now group them into quantiles for clearer analysis. Quantiles are also available in the Group By table, adding even more flexibility to your data exploration.

🎨 UI Updates

• Models Tab Redesign: We’ve given the Models tab a fresh new look! Components have been reorganized for a cleaner and more intuitive layout, with an emphasis on the most relevant metrics. Explore your models with improved clarity and focus.

🔧 Technical Updates

• The group_by step, supports ‘Count Where’ and ‘Percent Where’