I spent three years paying for project management, budget tracking, and data analysis tools that I eventually replaced with Google Sheets. Not because Sheets is better than everything — it isn’t — but because the gap between what it can do and what most people know it can do is enormous. Here are five functions that do the most heavy lifting.
Here’s the thing most people miss about this topic.
Here’s the thing most people miss about this topic.
Here’s the thing most people miss about this topic.
Here’s the thing most people miss about this topic.
Here’s the thing most people miss about this topic.
Here’s the thing most people miss about this topic.
Here’s the thing most people miss about this topic.
This is one of those topics where the conventional wisdom doesn’t quite hold up.
1. QUERY — Your In-Sheet SQL
=QUERY(data, "SELECT A, B WHERE C > 100 ORDER BY B DESC")
Related: digital note-taking guide
QUERY lets you write SQL-style commands against any range of data. Filter, sort, aggregate, and reshape data without pivot tables or manual filtering. If you’ve ever paid for a reporting tool to slice a spreadsheet of data, QUERY likely does 80% of what you needed. It’s genuinely underused.
Example: =QUERY(A1:D100,"SELECT A, SUM(D) WHERE B='Sales' GROUP BY A ORDER BY SUM(D) DESC") — this aggregates sales totals by rep, sorted highest to lowest, in a single formula.
2. IMPORTRANGE — Live Data Across Sheets
=IMPORTRANGE("spreadsheet_url", "Sheet1!A1:D100")
Pull live data from another Google Sheet automatically. This replaces the need for a separate data sync tool when you have teams maintaining separate sheets that feed into a central dashboard. Change the source, the destination updates. No exports, no manual copy-paste, no sync software. [3]
Practical use: a team tracker where each department maintains its own sheet, and a master dashboard imports all ranges into one view. Combine with QUERY on top of IMPORTRANGE to filter and reshape the imported data further.
3. ARRAYFORMULA — Apply One Formula to Entire Columns
=ARRAYFORMULA(A2:A100 * B2:B100)
Instead of copying a formula down 100 rows, ARRAYFORMULA applies it across an entire range at once. New rows added to the source data are automatically calculated without touching the formula. This is how you build sheets that scale without constant maintenance.
Advanced use: =ARRAYFORMULA(IF(A2:A<>"", B2:B * C2:C, "")) — calculate only rows where column A is not empty, across the entire column automatically. [2]
4. REGEXEXTRACT — Parse Messy Text Data
=REGEXEXTRACT(A2, "\d{4}-\d{2}-\d{2}")
When you’re working with exported data that embeds values in text strings — email subject lines, chat exports, form responses — REGEXEXTRACT pulls out exactly what you need using a regular expression pattern. This replaces text parsing tools and manual data cleaning for most common use cases.
REGEXMATCH is a companion function: =REGEXMATCH(A2, "urgent|ASAP|deadline") returns TRUE if any of those words appear in a cell — useful for flagging rows automatically in a large dataset without manual scanning.
5. XLOOKUP — The VLOOKUP Replacement
=XLOOKUP(lookup_value, lookup_array, return_array, "Not found")
XLOOKUP searches in any direction (not just left-to-right), returns multiple columns, handles errors gracefully, and doesn’t break when you insert a column. If you’re still using VLOOKUP, switch now. The syntax is cleaner and the failure modes are much better.
The fourth argument (“Not found”) replaces the need for wrapping in IFERROR. XLOOKUP also supports approximate match, wildcard match, and reverse search with a single parameter — functionality that required multiple nested formulas in VLOOKUP.
Bonus: SPARKLINE — Inline Charts in Cells
=SPARKLINE(A2:A13, {"charttype","bar";"max",100})
SPARKLINE renders a miniature chart directly inside a cell — line, bar, column, or winloss. It’s useful for dashboards where you want visual trend data without the overhead of separate chart objects. A column of sparklines next to numeric data communicates trend at a glance in a way that numbers alone cannot.
Does this match your experience?
Google Sheets vs. Excel vs. Paid Tools
Google Sheets wins on collaboration (real-time multi-user editing), web integration (IMPORTRANGE, IMPORTHTML, IMPORTFEED), and cost (free). Excel wins on raw calculation speed with large datasets, more advanced pivot table functionality, and some statistical functions not available in Sheets. For teams already in Google Workspace, Sheets covers most analytical needs without additional software cost.
My take: the research points in a clear direction here.
Paid data tools (Tableau, Power BI, Looker) add value when you have data volumes exceeding Sheets’ limits (~10 million cells), need scheduled automated reporting, or require connections to databases that Sheets’ connectors cannot reach. For individual users and small teams, the five functions above close most of that gap at zero cost.
Last updated: 2026-04-13
Your Next Steps
- Today: Pick one idea from this article and try it before bed tonight.
- This week: Track your results for 5 days — even a simple notes app works.
- Next 30 days: Review what worked, drop what didn’t, and build your personal system.
About the Author
Written by the Rational Growth editorial team. Our health and psychology content is informed by peer-reviewed research, clinical guidelines, and real-world experience. We follow strict editorial standards and cite primary sources throughout.
Sources
Ever noticed this pattern in your own life?
References
- Coursera Staff (2023). Google Sheets vs. Excel: What’s the Difference?. Coursera. Link
- Numerous.ai Team (2024). 6 Easy Ways to Analyze Data in Google Sheets Like a Pro. Numerous.ai Blog. Link
- Zapier Editorial Team (2024). Airtable vs. Google Sheets: Which is best?. Zapier Blog. Link
- Jotform Team (2026). I compared the best spreadsheet software tools in January 2026. Jotform Blog. Link
- Grist Team (2024). The open-source Google Sheets alternative built for business. Grist. Link
Ever noticed this pattern in your own life?
Ever noticed this pattern in your own life?
Ever noticed this pattern in your own life?
Ever noticed this pattern in your own life?
Ever noticed this pattern in your own life?
Ever noticed this pattern in your own life?
Frequently Asked Questions
What is the key takeaway about 5 google sheets functions that?
Evidence-based approaches consistently outperform conventional wisdom. Start with the data, not assumptions, and give any strategy at least 30 days before judging results.
How should beginners approach 5 google sheets functions that?
Pick one actionable insight from this guide and implement it today. Small, consistent actions compound faster than ambitious plans that never start.
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