💡 Excel Tips & Tricks 🧠📊

Part 4 — Tips Every Excel User Should Know

🔹 Tip 31: Use "Ctrl + D" to Fill Down
Select the formula or value along with the cells below → Press "Ctrl + D".
📌 Quickly copies the top cell down without dragging.

🔹 Tip 32: Use "Ctrl + R" to Fill Right
Select the range → Press "Ctrl + R".
📌 Copies the leftmost cell across the selected columns.

🔹 Tip 33: Quickly Insert or Delete Rows and Columns
Select a row or column → Press:
"Ctrl + +" → Insert
"Ctrl + -" → Delete
📌 Much faster than using the right-click menu.

🔹 Tip 34: Use "Ctrl + Arrow Keys" to Navigate Large Datasets
Press "Ctrl + ↓", "Ctrl + ↑", "Ctrl + →", or "Ctrl + ←".
📌 Jump quickly to the edge of a data region.

🔹 Tip 35: Use "Ctrl + Shift + Arrow Keys" to Select Data
Press "Ctrl + Shift + ↓" to select data downward.
📌 Useful when working with thousands of rows.

🔹 Tip 36: Use "F4" to Repeat Your Last Action
After performing an action, press "F4" to repeat it where applicable.
📌 Helpful when applying the same formatting or operation repeatedly.

🔹 Tip 37: Use "Ctrl + Page Up/Down" to Switch Worksheets
"Ctrl + Page Up" → Previous sheet
"Ctrl + Page Down" → Next sheet
📌 Switch between worksheets without using the mouse.

🔹 Tip 38: Use "Ctrl + F" to Find Data Quickly
Press "Ctrl + F" and enter the value you're looking for.
📌 Much faster than manually scanning large datasets.

🔹 Tip 39: Use "Ctrl + H" to Replace Data
Press "Ctrl + H" → Enter the old value → Enter the replacement → Replace All.
📌 Useful for correcting repeated errors or standardizing data.

🔹 Tip 40: Double-Click the Format Painter
Double-click Format Painter to keep it active.
📌 You can apply the same formatting to multiple locations without repeatedly selecting the tool.

💬 Double Tap ♥️ For More Excel Tips!

🚀 𝗗𝗿𝗲𝗮𝗺𝗶𝗻𝗴 𝗼𝗳 𝗪𝗼𝗿𝗸𝗶𝗻𝗴 𝗮𝘁 𝗧𝗼𝗽 𝗧𝗲𝗰𝗵 𝗖𝗼𝗺𝗽𝗮𝗻𝗶𝗲𝘀? 💻🔥

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📌 Scenario:

A food delivery company wants to find the average delivery time taken by each city.

You have one table:

deliveries

• delivery_id
• customer_id
• city
• order_time
• delivery_time

☑ Solution:

SELECT
city,
AVG(
TIMESTAMPDIFF(MINUTE, order_time, delivery_time)
) AS avg_delivery_time
FROM deliveries
GROUP BY city
ORDER BY avg_delivery_time;

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📌 Scenario:

A sales manager wants to compare each product's sales with the average sales of its category.

You have one table:

sales

• product_id
• category
• sales_amount

☑ Solution (DAX):

Category Avg Sales =
CALCULATE(
AVERAGE(sales[sales_amount]),
ALLEXCEPT(sales, sales[category])
)

Sales vs Category Avg =
sales[sales_amount] - [Category Avg Sales]

💡 Concept Tested:

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🔥 SQL Interview Question of the Day

📌 Scenario:

A streaming platform wants to find the most watched movie in each genre.

You have one table:

watch_history

• user_id
• movie_id
• movie_name
• genre
• watch_time_minutes

☑ Solution:

SELECT
genre,
movie_name,
total_watch_time
FROM (
SELECT
genre,
movie_name,
SUM(watch_time_minutes) AS total_watch_time,
RANK() OVER (
PARTITION BY genre
ORDER BY SUM(watch_time_minutes) DESC
) AS rnk
FROM watch_history
GROUP BY genre, movie_name
) t
WHERE rnk = 1;

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