Fix popularity stats to use upload data instead of download data

- Change popularity stats to analyze upload records (Direction = 'Upload')
- This shows which of your shared files are most downloaded by others
- Update error messages and explanations to reflect upload-based analysis
- Remove "NEW" labels from README features
- Clarify that popularity shows download frequency of your uploads

README.md

@@ -12,7 +12,7 @@ A GUI tool to analyze upload and download statistics from your slskd transfers d
 - Lists top users by data transferred
 - Shows statistics by file type
 - Filter statistics by time period (All time, Last month, Last year)
-- **NEW**: Artist and album popularity statistics based on user download demand
+- Artist and album popularity statistics based on download frequency of your uploads
 - Smart path parsing with enhanced library structure detection  
 - Intelligent album name cleaning (removes redundant artist names from folder names)
 - User-friendly graphical interface with summary and detailed tables
@@ -43,8 +43,8 @@ With the GUI, you can:
 - Set the number of top entries to display
 - View upload and download statistics side-by-side
 - See summary statistics and detailed tables for users and file types
-- **NEW**: Visual time series graphs showing transfer trends over time
+- Visual time series graphs showing transfer trends over time
-- **NEW**: Analyze artist and album popularity based on download demand with interactive charts and tables
+- Analyze artist and album popularity based on how often others download your files with interactive charts and tables
 
 ## Screenshots
 
@@ -63,6 +63,7 @@ This tool automatically detects and works with both:
 - **Old format**: Text-based `State` column
 - **New format**: Integer `State` + `StateDescription` columns
 
+
 ## About
 
 This tool is designed to work with the `transfers.db` SQLite database created by [slskd](https://github.com/slskd/slskd), a Soulseek client daemon. It helps you understand your sharing patterns and track transfer statistics.

slskd_stats_gui.py

@@ -1011,7 +1011,7 @@ class MainWindow(QMainWindow):
         
         # Check if we have data and good format compatibility
         if not artist_stats and not album_stats:
-            self.showPopularityError("No successful download transfers found.", format_info)
+            self.showPopularityError("No successful upload transfers found.", format_info)
             return
         elif format_info['match_percentage'] < 50:
             self.showPopularityWarning(format_info)
@@ -1202,7 +1202,7 @@ class MainWindow(QMainWindow):
 {message}
 
 How it works:
-• Analyzes successful download transfers (what users want)
+• Analyzes successful upload transfers (what others downloaded from you)
 • Smart left-to-right path parsing
 • Detects media folders (/music/, \\Artists\\, etc.)
 • Removes artist name prefixes from album titles
@@ -1256,7 +1256,7 @@ def analyze_library_format(db_paths):
             cursor.execute(f"""
                 SELECT Filename 
                 FROM Transfers 
-                WHERE {success_condition} AND Direction = 'Download' AND Filename IS NOT NULL
+                WHERE {success_condition} AND Direction = 'Upload' AND Filename IS NOT NULL
                 LIMIT 200
             """)
             
@@ -1425,7 +1425,7 @@ def get_popularity_stats(db_paths, days=None):
                 success_condition = "State LIKE 'Completed, Succeeded'"
             
             # Create WHERE clause for time filtering
-            where_clause = f"WHERE {success_condition} AND Direction = 'Download'"  # Track what users download
+            where_clause = f"WHERE {success_condition} AND Direction = 'Upload'"  # Track what users upload/share
             params = []
     
             if days is not None: