import csv
import json
import argparse
parser = argparse.ArgumentParser(description='Analyze territory data.')
parser.add_argument('filename', help='The CSV file to analyze.')
args = parser.parse_args()
data = []
with open(args.filename, 'r') as f:
reader = csv.DictReader(f)
for row in reader:
data.append(row)
total_territories = len(data)
address_counts = [int(row['Address Count']) for row in data if row['Address Count']]
total_addresses = sum(address_counts)
average_addresses = total_addresses / total_territories if total_territories > 0 else 0
min_addresses = min(address_counts) if address_counts else 0
max_addresses = max(address_counts) if address_counts else 0
category_counts = {}
for row in data:
category = row['CategoryCode']
if category in category_counts:
category_counts[category] += 1
else:
category_counts[category] = 1
with open('analysis.md', 'w') as f:
f.write('# Territory Analysis\n')
f.write(f'Total Territories: {total_territories}\n')
f.write(f'Total Addresses: {total_addresses}\n')
f.write(f'Average Addresses per Territory: {average_addresses:.2f}\n')
f.write('## Territories by Category\n')
for category, count in category_counts.items():
f.write(f'- {category}: {count}\n')
with open('map.html', 'w') as f:
f.write(f'''
Territory Map
''')