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Threads Is the Best Platform to Earn Money as a Writer in 2025 (Yes you could earn up to $7,000 per month!)

In 2025, Threads has emerged as the breakout social platform for writers, bloggers, and creators. While platforms like Substack, Medium, and Twitter (now X) have long been playgrounds for wordsmiths, Threads has unlocked massive earning potential — with top writers now pulling in up to $7,000 per month . So what’s behind the Threads writing gold rush? Let’s break it down! 💥 🌟 Why Threads Is Crushing It for Writers Built-in virality 🚀 Threads integrates seamlessly with Instagram, giving you instant access to millions of users who are already primed to engage with your content. Engagement-first algorithm 💬 Unlike other platforms where posts sink after a few hours, Threads amplifies conversations, shares, and reposts , meaning your best writing can keep gaining traction for days or even weeks. Monetization tools 💰 In 2025, Threads rolled out: ✅ Creator Bonuses — Get paid for post performance. ✅ Subscription Tiers — Offer premium content to superfans. ✅ Tips ...
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Data Analysis in Microsoft Excel: Deliver Awesome Analytics in 3 Easy Steps Using VLOOKUPs, Pivot Tables, Charts, and More

Microsoft Excel remains one of the most powerful tools for data analysis, offering robust features for transforming raw data into meaningful insights. Whether you’re handling large datasets, analyzing sales figures, or tracking trends, Excel's built-in functions—such as VLOOKUPs, Pivot Tables, and Charts—can help you conduct high-quality analysis with ease. Here's how to make the most of these features in three easy steps.

1. Use VLOOKUPs to Extract and Merge Data Efficiently 🔍

The VLOOKUP function allows you to search for a value within a range and return corresponding data, making it useful for tasks like merging data from different sheets or looking up specific records.

How to Use VLOOKUP:

  • Syntax: =VLOOKUP(lookup_value, table_array, col_index_num, [range_lookup])
    • lookup_value: The value you want to search for.
    • table_array: The range where Excel will search for the lookup_value.
    • col_index_num: The column number in the table_array from which to return the result.
    • [range_lookup]: Enter FALSE for an exact match or TRUE for an approximate match.

Example:

Suppose you have a list of sales IDs on Sheet1 and detailed sales data on Sheet2. Use VLOOKUP to pull relevant details (e.g., sales amount) for each ID from Sheet2 onto Sheet1.

excel
=VLOOKUP(A2, Sheet2!A:E, 4, FALSE)

2. Create Pivot Tables to Summarize and Segment Data Quickly 📊

Pivot Tables are a dynamic feature that allows you to summarize, analyze, and rearrange data, helping you uncover patterns and trends with minimal effort.

How to Create a Pivot Table:

  1. Select Your Data: Highlight your data range.
  2. Insert a Pivot Table: Go to the Insert tab and choose PivotTable.
  3. Build the Table:
    • Drag fields into the Rows, Columns, and Values areas to structure the table.
    • Use filters to break down data by criteria, such as regions, dates, or product categories.
  4. Customize Calculations: Use options like "Count," "Sum," or "Average" to focus on specific metrics.

Example:

If you have sales data, you could create a Pivot Table that shows the total sales for each product category in each region. This would allow you to see where your sales are strongest and identify areas for improvement.

3. Use Charts to Visualize Data Insights Clearly 📈

Charts make data easy to understand and enable you to present your findings in a visually engaging way. Excel offers a variety of chart types (line, bar, pie, scatter, etc.), each suitable for different types of data.

Steps to Create a Chart:

  1. Select Your Data: Highlight the data you want to include in your chart.
  2. Insert a Chart: Go to the Insert tab and choose the type of chart that best suits your data.
  3. Customize the Chart:
    • Use Chart Elements (axes, titles, labels) to clarify the information.
    • Add filters or adjust color schemes to enhance readability.

Example:

If your Pivot Table shows monthly sales by region, create a line or bar chart to visualize trends. Use a pie chart to show the percentage contribution of each product category to the total sales.

Additional Tips for Excel Data Analysis 💡

  • Conditional Formatting: Highlight key data points, like the top 10% of sales, with Conditional Formatting to make them stand out.
  • Data Validation: Set data validation rules to prevent incorrect data entry, ensuring clean, accurate data analysis.
  • Use Excel Add-Ins: Explore add-ins like Power Query and Power Pivot for more advanced data processing capabilities.

Mastering these Excel features will help you turn raw data into insightful analytics. By applying VLOOKUPs, Pivot Tables, and Charts effectively, you’ll deliver analytics that drive informed decision-making and add real value to your projects.

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