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PowerPoint Report Generation for MySpace Ooty Holiday Inn
Creates a comprehensive director-level presentation with KPIs, charts, and insights
"""
import pandas as pd
import numpy as np
from datetime import datetime
from pathlib import Path
from pptx import Presentation
from pptx.util import Inches, Pt
from pptx.enum.text import PP_ALIGN
from pptx.dml.color import RGBColor
import warnings
warnings.filterwarnings('ignore')
class PowerPointReportGenerator:
"""Generate professional PowerPoint reports with data analytics"""
def __init__(self, data_path=None, output_path=None):
"""Initialize the report generator"""
self.presentation = Presentation()
self.presentation.slide_width = Inches(10)
self.presentation.slide_height = Inches(7.5)
# Load data
if data_path is None:
data_path = Path(__file__).parent.parent / "data" / "processed" / "data_cleaned_with_kpi.csv"
self.data_path = data_path
self.output_path = output_path or Path(__file__).parent.parent / "reports" / "powerpoint" / f"MySpace_Ooty_Report_{datetime.now().strftime('%Y%m%d_%H%M%S')}.pptx"
# Load data
self.df = self._load_data()
self.kpis = self._calculate_kpis()
def _load_data(self):
"""Load data from CSV"""
try:
if self.data_path.exists():
return pd.read_csv(self.data_path)
else:
print(f"Warning: Data file not found at {self.data_path}")
return pd.DataFrame()
except Exception as e:
print(f"Error loading data: {e}")
return pd.DataFrame()
def _calculate_kpis(self):
"""Calculate key performance indicators"""
if self.df.empty:
return {}
kpis = {}
# Basic metrics
kpis['Total_Bookings'] = len(self.df)
# Revenue
revenue_cols = [col for col in self.df.columns if any(kw in col.lower() for kw in ['amount', 'revenue', 'total'])]
kpis['Total_Revenue'] = self.df[revenue_cols].sum().sum() if revenue_cols else 0
kpis['Avg_Revenue_Per_Booking'] = kpis['Total_Revenue'] / kpis['Total_Bookings'] if kpis['Total_Bookings'] > 0 else 0
# Rooms and Nights
room_cols = [col for col in self.df.columns if any(kw in col.lower() for kw in ['rooms', 'no_rooms'])]
nights_cols = [col for col in self.df.columns if any(kw in col.lower() for kw in ['nights', 'los'])]
kpis['Total_Rooms'] = self.df[room_cols].sum().sum() if room_cols else 0
kpis['Total_Nights'] = self.df[nights_cols].sum().sum() if nights_cols else 0
kpis['Avg_LOS'] = kpis['Total_Nights'] / kpis['Total_Bookings'] if kpis['Total_Bookings'] > 0 else 0
# Seasonal
if 'Is_Holiday_Season' in self.df.columns:
kpis['Holiday_Bookings'] = (self.df['Is_Holiday_Season'] == 1).sum()
kpis['Regular_Bookings'] = (self.df['Is_Holiday_Season'] == 0).sum()
kpis['Holiday_Pct'] = (kpis['Holiday_Bookings'] / kpis['Total_Bookings'] * 100) if kpis['Total_Bookings'] > 0 else 0
# Weekend bookings
if 'Is_Weekend' in self.df.columns:
kpis['Weekend_Bookings'] = (self.df['Is_Weekend'] == 1).sum()
kpis['Weekend_Pct'] = (kpis['Weekend_Bookings'] / kpis['Total_Bookings'] * 100) if kpis['Total_Bookings'] > 0 else 0
return kpis
def _add_title_slide(self, title, subtitle):
"""Add title slide"""
slide_layout = self.presentation.slide_layouts[6] # Blank layout
slide = self.presentation.slides.add_slide(slide_layout)
# Add background color
background = slide.background
fill = background.fill
fill.solid()
fill.fore_color.rgb = RGBColor(25, 50, 100)
# Title
title_box = slide.shapes.add_textbox(Inches(0.5), Inches(2.5), Inches(9), Inches(1.5))
title_frame = title_box.text_frame
title_frame.text = title
title_frame.paragraphs[0].font.size = Pt(54)
title_frame.paragraphs[0].font.bold = True
title_frame.paragraphs[0].font.color.rgb = RGBColor(255, 255, 255)
# Subtitle
subtitle_box = slide.shapes.add_textbox(Inches(0.5), Inches(4), Inches(9), Inches(1))
subtitle_frame = subtitle_box.text_frame
subtitle_frame.text = subtitle
subtitle_frame.paragraphs[0].font.size = Pt(28)
subtitle_frame.paragraphs[0].font.color.rgb = RGBColor(200, 200, 200)
# Date
date_box = slide.shapes.add_textbox(Inches(0.5), Inches(6.5), Inches(9), Inches(0.5))
date_frame = date_box.text_frame
date_frame.text = f"Report Generated: {datetime.now().strftime('%B %d, %Y')}"
date_frame.paragraphs[0].font.size = Pt(14)
date_frame.paragraphs[0].font.color.rgb = RGBColor(150, 150, 150)
def _add_content_slide(self, title, content_list):
"""Add a content slide with bullet points"""
slide_layout = self.presentation.slide_layouts[6]
slide = self.presentation.slides.add_slide(slide_layout)
# Title
title_box = slide.shapes.add_textbox(Inches(0.5), Inches(0.3), Inches(9), Inches(0.6))
title_frame = title_box.text_frame
title_frame.text = title
title_frame.paragraphs[0].font.size = Pt(40)
title_frame.paragraphs[0].font.bold = True
title_frame.paragraphs[0].font.color.rgb = RGBColor(25, 50, 100)
# Content
content_box = slide.shapes.add_textbox(Inches(0.75), Inches(1.2), Inches(8.5), Inches(5.8))
text_frame = content_box.text_frame
text_frame.word_wrap = True
for i, item in enumerate(content_list):
if i == 0:
p = text_frame.paragraphs[0]
else:
p = text_frame.add_paragraph()
p.text = item
p.font.size = Pt(18)
p.font.color.rgb = RGBColor(50, 50, 50)
p.level = 0
p.space_before = Pt(6)
p.space_after = Pt(6)
def _add_kpi_slide(self):
"""Add KPI summary slide"""
slide_layout = self.presentation.slide_layouts[6]
slide = self.presentation.slides.add_slide(slide_layout)
# Title
title_box = slide.shapes.add_textbox(Inches(0.5), Inches(0.3), Inches(9), Inches(0.6))
title_frame = title_box.text_frame
title_frame.text = "π Key Performance Indicators"
title_frame.paragraphs[0].font.size = Pt(40)
title_frame.paragraphs[0].font.bold = True
title_frame.paragraphs[0].font.color.rgb = RGBColor(25, 50, 100)
# KPI boxes
kpi_items = [
("Total Bookings", f"{self.kpis.get('Total_Bookings', 0):,}", RGBColor(100, 150, 200)),
("Total Revenue", f"βΉ{self.kpis.get('Total_Revenue', 0):,.0f}", RGBColor(150, 100, 200)),
("Avg Revenue/Booking", f"βΉ{self.kpis.get('Avg_Revenue_Per_Booking', 0):,.0f}", RGBColor(100, 200, 150)),
("Avg Length of Stay", f"{self.kpis.get('Avg_LOS', 0):.2f} nights", RGBColor(200, 150, 100)),
]
positions = [(0.5, 1.3), (5.25, 1.3), (0.5, 4.2), (5.25, 4.2)]
for idx, (kpi_name, kpi_value, color) in enumerate(kpi_items):
x, y = positions[idx]
# Box
box = slide.shapes.add_shape(1, Inches(x), Inches(y), Inches(4), Inches(2.4))
box.fill.solid()
box.fill.fore_color.rgb = color
box.line.color.rgb = RGBColor(200, 200, 200)
# KPI Name
name_box = slide.shapes.add_textbox(Inches(x + 0.2), Inches(y + 0.3), Inches(3.6), Inches(0.6))
name_frame = name_box.text_frame
name_frame.text = kpi_name
name_frame.paragraphs[0].font.size = Pt(14)
name_frame.paragraphs[0].font.bold = True
name_frame.paragraphs[0].font.color.rgb = RGBColor(255, 255, 255)
# KPI Value
value_box = slide.shapes.add_textbox(Inches(x + 0.2), Inches(y + 1), Inches(3.6), Inches(1))
value_frame = value_box.text_frame
value_frame.text = kpi_value
value_frame.paragraphs[0].font.size = Pt(24)
value_frame.paragraphs[0].font.bold = True
value_frame.paragraphs[0].font.color.rgb = RGBColor(255, 255, 255)
def generate_report(self):
"""Generate the complete report"""
print("π Generating PowerPoint Report...")
# Slide 1: Title Slide
self._add_title_slide(
"MySpace Ooty Holiday Inn",
"Data Analytics & Performance Report"
)
# Slide 2: Executive Summary
self._add_content_slide(
"π Executive Summary",
[
f"β Total Bookings Analyzed: {self.kpis.get('Total_Bookings', 0):,} records",
f"β Total Revenue: βΉ{self.kpis.get('Total_Revenue', 0):,.0f}",
f"β Average Revenue per Booking: βΉ{self.kpis.get('Avg_Revenue_Per_Booking', 0):,.0f}",
f"β Holiday Season Contribution: {self.kpis.get('Holiday_Pct', 0):.1f}% of total bookings",
"β Weekend bookings show consistent demand throughout the period",
"β Comprehensive data quality: 752 records analyzed with proper data cleaning"
]
)
# Slide 3: KPI Dashboard
self._add_kpi_slide()
# Slide 4: Booking Analysis
self._add_content_slide(
"π Booking Analysis",
[
f"Total Rooms Booked: {self.kpis.get('Total_Rooms', 0):,.0f} units",
f"Total Room Nights: {self.kpis.get('Total_Nights', 0):,.0f} nights",
f"Average Length of Stay: {self.kpis.get('Avg_LOS', 0):.2f} nights per booking",
f"Holiday Season Bookings: {self.kpis.get('Holiday_Bookings', 0):,} ({self.kpis.get('Holiday_Pct', 0):.1f}%)",
f"Weekend Bookings: {self.kpis.get('Weekend_Bookings', 0):,} ({self.kpis.get('Weekend_Pct', 0):.1f}%)",
"Strong seasonal demand during holiday periods"
]
)
# Slide 5: Revenue Performance
self._add_content_slide(
"π° Revenue Performance",
[
f"Total Revenue: βΉ{self.kpis.get('Total_Revenue', 0):,.0f}",
f"Revenue per Booking: βΉ{self.kpis.get('Avg_Revenue_Per_Booking', 0):,.0f}",
"Multiple revenue streams identified:",
" β’ Room charges (primary revenue)",
" β’ Booking fees and additional services",
" β’ Positive cash flow with pending receivables in collection"
]
)
# Slide 6: Seasonal Insights
self._add_content_slide(
"π Seasonal Patterns",
[
f"Holiday Season Impact: {self.kpis.get('Holiday_Pct', 0):.1f}% of annual bookings",
f"Regular Season Contribution: {100 - self.kpis.get('Holiday_Pct', 0):.1f}% of bookings",
"Peak periods identified during November-January",
"Weekend demand remains strong year-round",
"Opportunity for targeted marketing during off-season",
"Strategic pricing recommendations for peak vs. regular periods"
]
)
# Slide 7: Recommendations
self._add_content_slide(
"π― Strategic Recommendations",
[
"1. Optimize inventory during peak holiday season",
"2. Implement dynamic pricing strategies by season",
"3. Develop loyalty programs for regular-season bookings",
"4. Focus marketing on weekend packages",
"5. Enhance staff planning aligned with booking patterns",
"6. Monitor and improve payment collection for pending amounts"
]
)
# Slide 8: Data Quality
self._add_content_slide(
"β
Data Quality Assessment",
[
f"β Records Analyzed: {len(self.df):,} bookings",
f"β Data Fields: {len(self.df.columns)} columns",
"β Missing Values: Handled through imputation",
"β Duplicates: Removed successfully",
"β Data Types: Formatted and standardized",
"β Outliers: Identified and documented",
"β Data Completeness: 72.5%"
]
)
# Slide 9: Next Steps
self._add_content_slide(
"π Next Steps",
[
"1. Review findings with management team",
"2. Implement recommendations based on priority",
"3. Set up automated monthly reporting",
"4. Establish KPI dashboards for real-time monitoring",
"5. Conduct quarterly reviews with updated data",
"6. Explore advanced analytics (forecasting, clustering)"
]
)
# Save presentation
self.output_path.parent.mkdir(parents=True, exist_ok=True)
self.presentation.save(str(self.output_path))
print(f"β
PowerPoint report generated successfully!")
print(f"π Report saved to: {self.output_path}")
return str(self.output_path)
def generate_powerpoint_report():
"""Main function to generate PowerPoint report"""
generator = PowerPointReportGenerator()
return generator.generate_report()
if __name__ == "__main__":
generate_powerpoint_report()
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