Excel IF Function: How to Check If a Cell Contains Text (Exact & Partial Match!)

Описание: In this video, we’ll explore how to use the Excel IF Function if a cell contains specific text using Partial Match and Exact Match.
🚀Example: https://exceldashboardschool.com/wp-c...

🔍 What You’ll Learn:
✅ Exact Match (Case-Sensitive) – Using ISNUMBER & FIND for strict text matching.
✅ Partial Match (Case-Sensitive) – Checking if a word exists anywhere in the text.
✅ Exact Match (Non-Case-Sensitive) – Using SEARCH instead of FIND for flexibility.
✅ Partial Match (Non-Case-Sensitive) – Finding words regardless of case or position.

📌 Step-by-Step Guide:
1️⃣ Exact Match (Case-Sensitive) – Ensures the word is present as a standalone word.
=IF(ISNUMBER(FIND(" green ", " " & B3 & " ")), "Found", "Not found")
2️⃣ Partial Match (Case-Sensitive) – Finds the word even inside other words.
=IF(ISNUMBER(FIND("green", B3)), "Found", "Not found")
3️⃣ Exact Match (Non-Case-Sensitive) – Works even if capitalization differs.
=IF(ISNUMBER(SEARCH(" green ", " " & LOWER(B3) & " ")), "Found", "Not found")
4️⃣ Partial Match (Non-Case-Sensitive) – Detects text anywhere, case-insensitive.
=IF(ISNUMBER(SEARCH("green", B3)), "Found", "Not found")

🔥 Why This Matters:
These techniques are incredibly useful in real-world applications where Excel is often used to process and organize large datasets. Here's how they can help you:

📌Smart Conditional Formatting
Imagine you are managing an inventory system and need to highlight products that are out of stock. Using the exact match (case-sensitive) formula, you can search for the exact product name and apply conditional formatting to automatically highlight any product that's currently unavailable. This makes it easy to visually identify out-of-stock items at a glance.

📌Dynamic Filtering
You can use partial matches in a customer database to dynamically filter out specific customer segments. For instance, you can use the partial match technique to extract all customers whose names contain "green" (as in 'Greenberg', 'Greene', etc.). This can help generate targeted marketing campaigns or personalized offers without manually going through each record.

📌Automated Text Validation for Financial Reports
When handling financial reports, precise validation is key. Imagine you are analyzing income statements where every row represents different categories of expenses. Using the non-case-sensitive exact match technique, you can automatically flag any discrepancies where a category like "Utilities" is misspelled (e.g., "utlities"). This ensures consistency across the entire report and helps prevent errors.

📌Data Cleaning
If you're working with large datasets containing text entries from various sources, data cleaning becomes necessary. For example, in a survey data collection sheet, you may have responses where users have entered 'Yes', 'yes', or 'YES'. Using the non-case-sensitive partial match, you can ensure consistency by automatically standardizing all the responses into one format without manually checking each entry.

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Chapters:

00:00 Intro
00:11 Exact match and case-sensitive
00:27 Exact match and non-case-sensitive
00:39 Partial match and case-sensitive
00:54 Partial match and non-case-sensitive


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