Adding graphs to our game report.

Author: mikeckennedy

code/09-agentic-ai/game-sales-analysis/__init__.py

@@ -13,18 +13,18 @@
 --------------
     from data_loader import load_game_sales_data, setup_display_options
     from data_analysis import analyze_missing_data, get_top_performers
-    
+
     # Set up environment
     setup_display_options()
-    
+
     # Load and analyze data
     df = load_game_sales_data()
     missing_info = analyze_missing_data(df)
     top_games = get_top_performers(df, 'Global_Sales', 10)
 """
 
-__version__ = "1.0.0"
-__author__ = "Video Game Sales Research Team"
+__version__ = '1.0.0'
+__author__ = 'Video Game Sales Research Team'
 
 # Import main functions for easy access
 from .data_loader import setup_display_options, load_game_sales_data
@@ -41,16 +41,16 @@
 from .utils import suggest_next_analysis_steps, print_analysis_complete_message
 
 __all__ = [
-    "setup_display_options",
-    "load_game_sales_data",
-    "analyze_missing_data",
-    "get_top_performers",
-    "analyze_distribution",
-    "calculate_regional_breakdown",
-    "analyze_publishers",
-    "analyze_year_trends",
-    "get_regional_market_share",
-    "generate_summary_statistics",
-    "suggest_next_analysis_steps",
-    "print_analysis_complete_message",
-]
+    'setup_display_options',
+    'load_game_sales_data',
+    'analyze_missing_data',
+    'get_top_performers',
+    'analyze_distribution',
+    'calculate_regional_breakdown',
+    'analyze_publishers',
+    'analyze_year_trends',
+    'get_regional_market_share',
+    'generate_summary_statistics',
+    'suggest_next_analysis_steps',
+    'print_analysis_complete_message',
+]

code/09-agentic-ai/game-sales-analysis/data_analysis.py

@@ -136,7 +136,7 @@ def analyze_year_trends(df: pd.DataFrame) -> Dict[str, any]:
     print('=== Gaming Industry Timeline ===')
     print(f'📅 Dataset covers: {year_stats["earliest_year"]:.0f} - {year_stats["latest_year"]:.0f}')
     print(f'📊 Median release year: {year_stats["median_year"]:.0f}')
-    games_by_year = df_with_years.groupby("Year").size()
+    games_by_year = df_with_years.groupby('Year').size()
     peak_year = games_by_year.idxmax()
     peak_count = games_by_year.max()
     print(f'🎮 Peak gaming year: {peak_year:.0f} ({peak_count} games)')

code/09-agentic-ai/game-sales-analysis/data_loader.py

@@ -9,7 +9,6 @@
 import seaborn as sns
 
 
-
 def setup_display_options() -> None:
     """Configure pandas and matplotlib display options for better output."""
     # Pandas display options