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sales_analysis.py
import pandas as pd
import matplotlib.pyplot as plt
# Turn data into understanding
sales = pd.read_csv('sales.csv')
summary = sales.groupby('region')
.revenue.sum()
summary.plot(kind='bar')
Information Technology
Python Data Analysis
Code & data analysis
DEMONSTRATIONMechanical Engineering
CAD Assembly Design
Engineering reference
DEMONSTRATIONCivil Engineering
Building Structural Model
Structural concept study
Financial overview FY 2025 · DEMO
REVENUE£128,000Synthetic dataset
GROSS MARGIN37.8%Illustrative reporting
Monthly performanceJAN FEB MAR APR MAY JUN JUL AUG SEP OCT NOV DEC
Finance & Accounting
Financial Performance Dashboard
Dashboard & reporting
OWNER-SUPPLIED REFERENCEFinance & Accounting
Financial Accounting Report
Owner-supplied report
OWNER-SUPPLIED REFERENCEInformation Technology
Python Sales Analysis Report
Owner-supplied report
OWNER-SUPPLIED REFERENCECivil Engineering
Cultural and Architectural Design Study
Owner-supplied design report
OWNER-SUPPLIED REFERENCEInformation Technology
Digital Forensics Investigation Report
Owner-supplied educational report
OWNER-SUPPLIED REFERENCECivil Engineering
Revit BIM Coordination Report
Owner-supplied BIM report
OWNER-SUPPLIED REFERENCEManagement
Talent Acquisition and Retention Report
Owner-supplied research report
OWNER-SUPPLIED REFERENCEManagement
SME Innovation and Internationalisation Report
Owner-supplied research report
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