Professional, realistic dataset for data analysis, Data Science or Business Intelligence in the olive oil industry
📊 PREMIUM EXCEL FILE (5 sheets)• COVER sheet with key metrics• DATA sheet with all 1,000 complete records• SUMMARY sheet with automatic executive KPIs• ANALYSIS sheet by milling system• GLOSSARY sheet with definition of each variable• Premium dark forest/gold design, frozen headers• No macros, LibreOffice compatible📁 CLEAN CSV DATASET (1,000 rows · 28 variables)• Unique ID, season, month, province, variety• Milling system (4 types)• EVOO category (Extra Virgin, Virgin, Lampante, Refined)• Sales channel (6 channels)• Kg olives, oil yield %, litres obtained• Acidity %, peroxides, K232, K270, polyphenols• Moisture, milling temperature, malaxation time• Costs: harvest, milling, bottling (€/L)• Sale price, revenue, total cost, profit, margin📖 PROFESSIONAL PDF MANUAL (9 sections)• Complete dataset description• Excel usage guide• Suggested exploratory analysis• Use cases and applications• Methodology and data sources• FAQ + Licence🎯 WHO IS THIS DATASET FOR?─────────────────────────────────────✓ Data Scientists and data analysts✓ Students of agronomy, statistics or data science✓ BI professionals (Power BI, Tableau, Looker)✓ Olive oil sector researchers✓ Developers needing realistic test data✓ Data analysis educators and trainers✓ Kaggle competition participants─────────────────────────────────────📌 TECHNICAL INFORMATION─────────────────────────────────────Rows: 1,000 individual recordsVariables: 28 specialised columnsSeasons: 5 (2019/20 to 2023/24)Varieties: 10 (Picual, Arbequina, Hojiblanca, Cornicabra...)Milling systems: 4 typesProvinces: 10 (Jaén, Córdoba, Sevilla, Granada...)Format: .xlsx + .csv (UTF-8)Language: EnglishCompatibility: Python, R, Excel, Power BI, Tableau...
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