Enhance summary statistics generation in app.py: implement conditional logic for slate type (Regular or Showdown) to accurately compute metrics for Draftkings and Fanduel, improving data representation and user experience.

Refactor lineup initialization in app.py: remove try-except blocks for lineup creation, ensuring consistent DataFrame initialization for both Draftkings and Fanduel across Regular and Showdown slate types, enhancing code clarity and reliability.

Update salary input fields in app.py: adjust minimum salary values for both lowest and highest salary inputs to enhance user experience and ensure valid input range.

Update slate selection logic in app.py: enhance raw baseline retrieval by incorporating slate type (Regular or Showdown) for both Main and Secondary slates, improving data accuracy based on user input.

Add debug output in load_overall_stats function of app.py: print top 10 sorted player statistics for improved visibility during data processing.

Enhance app.py: add support for selecting slate type (Regular or Showdown) in the UI, update site selection logic to accommodate new slate types, and adjust column layout for improved user experience.

Fix player ID column naming in load_overall_stats function of app.py: update column name from 'player_ID' to 'player_id' for consistency and rename it back to 'player_ID' for display purposes.

Enhance app.py: add support for secondary slate data retrieval and processing, update overall stats function to include new data, and improve data export functionality for both Draftkings and Fanduel

Refactor app.py: streamline connection initialization by removing unused Google Sheets credentials and enhance lineup functions to support multiple slate designations for improved flexibility

Refactor load_overall_stats function in app.py: remove backlog data retrieval and associated UI elements to streamline data handling and improve performance

Update display_proj assignment in tab1: set index to "Player" with drop option for improved data handling

Refine "Player" column configuration in tab1: set fixed width properties to enhance layout consistency and maintain sticky header functionality

Enhance dataframe display in tab1: add column configuration for "Player" to improve readability and maintain sticky header functionality

Update tab styling: change background colors for active and hover states to enhance UI consistency

Update display_proj handling in tab1: comment out index setting and add hide_index option to dataframe display

Reorganize tab2 data loading and expander layout

Refactor tab1 display options layout and improve UI organization

Minor UI refinement: Rename "Display Options" to "Data Options" expander

Refactor tab2 layout with expanded display options and improved data management

Enhance tab styling and move display options into an expander

Add salary range filter to projection display

Fine-tune dataframe styling in simple view projection display

Adjust font size in simple view projection display

Improve simple view display with font size adjustment

Remove Team column from simple view projection display

Reorganize tab1 layout and improve site/slate selection logic

Refactor tab1 layout and improve user interface for ROO projection view

Update ROO percentage formatting to use percentage sign

Add custom formatting for ROO percentage columns in player projection display

Refactor player frequency tables to include salary and improve formatting

Add player salary to simple view summary DataFrame

Update simple view to display player ownership instead of value multiplier

Modify view options and remove debug print statements in lineup initialization

Enhance DK and FD lineup initialization by mapping player names from database collections. Added functionality to convert player identifiers to names for improved display in lineups.

export file now uses player IDs

I'm not actually sure if this works

added export ids to display portfolio

more numpy rewrite

working seed is a numpy array, had to rewrite that

added seed frame frequencies

added export for display optimals

maybe it is not an array

fixed blank export

added export button for player frequency

adjusted for numpy array

changed dk_raw to roo_raw slice

added functionality for id exporting with the optimals

fixed advanced to remove non-imp data

added index back to export file

Removed max usage count, added info