Useful Data Tips

Microsoft Excel

⏱️ 8 sec read πŸ“ˆ Data Analysis

What it is: The world's most popular data analysis tool. Spreadsheets, pivot tables, Power Query, formulas.

What It Does Best

Everyone knows it. Billion users worldwide. Zero training for basic analysis. Universal business language.

Ad-hoc exploration. Fastest way to look at data, try formulas, build quick reports. No code setup.

Business communication. Executives understand Excel. Easier to share findings than code or SQL.

Key Features

Pivot tables: Drag-and-drop data summarization and analysis

Power Query: ETL tool for data transformation (GUI-based)

Formulas: 400+ functions (VLOOKUP, INDEX/MATCH, SUMIFS, etc.)

Power Pivot: In-memory data modeling with millions of rows

Charts: 50+ chart types with extensive customization

Pricing

Microsoft 365 Personal: $7/month (includes all Office apps)

Microsoft 365 Business: $12-$22/user/month

One-time purchase: $160 (Excel only) or $250 (Office Home & Student)

When to Use It

βœ… Quick, one-time analysis

βœ… Datasets under 100k rows

βœ… Sharing with non-technical stakeholders

βœ… Financial modeling and budgets

βœ… Building ad-hoc reports and dashboards

When NOT to Use It

❌ Large datasets (>1M rows, use databases)

❌ Automated pipelines (Python better)

❌ Version control needed (files, not code)

❌ Reproducible analysis (hard to track changes)

❌ Real-time collaboration required (Google Sheets better)

Common Use Cases

Financial modeling: Budgets, forecasts, scenario analysis with formulas

Business reporting: Monthly reports, KPI dashboards, executive summaries

Data cleaning: Power Query for transforming messy data

Quick analysis: Ad-hoc exploration, pivot tables for patterns

What-if analysis: Goal seek, data tables, scenario manager

Excel vs Alternatives

vs Google Sheets: Excel wins on features and speed, Sheets wins on collaboration

vs Python/Pandas: Excel faster for simple tasks, Python better for automation and scale

vs Tableau: Tableau better for visualization, Excel better for calculations

Unique Strengths

Power Query: No-code ETL that rivals Python for data prep

Ubiquity: Everyone has it, everyone knows it, universal file format

Flexibility: Blank canvasβ€”build anything from scratch

Offline work: Full functionality without internet connection

Bottom line: Don't be a snob about Excel. It's fast, universal, and perfect for 80% of business analysis. Learn Power Query and you're unstoppable.

Visit Excel β†’

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