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Everyone's talking about #ChatGPT. But 90% of you are missing out on the AI revolution. Here are the top AI tools you NEED to know about.

1. Krisp: Krisp's AI removes background voices, noises, and echo from your calls, giving you peace of call
Link: https://krisp.ai/


2. Beatoven: Create unique royalty-free music that elevates your story
Link: https://www.beatoven.ai/


3. Cleanvoice: Automatically edit your podcast episodes
Link: https://cleanvoice.ai/


4. Podcastle: Studio quality recording, right from your computer
Link: https://podcastle.ai/


5. Flair: Design branded content in a flash
Link: https://flair.ai/


6. Illustroke: Create killer vector images from text prompts
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7. Patterned: Generate the exact patterns you need for and design
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8. Stockimg: Generate the perfect stock photo you need, every time
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9. Copy: AI Generated copy, that actually increases conversion
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10. CopyMonkey: Create Amazon listings in seconds
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12. Unbounce Smart Copy: Write high-performing cold emails at scale
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13. Vidyo: Make short-form vids from long-form content in just a few clicks
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14. Maverick: Generate personalized videos at scale
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15. Quickchat: AI chatbots that automate customer service charts
Link: https://www.quickchat.ai/


16. Puzzle: Build an AI-powered knowledge base for your team and customers
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Machine Learning Visualisation from basics to advanced

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2) Copy this message: ✅

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5) Reply to that tweet by pasting the message you copied and saved. Or Tweet yourself 😉

Interview Question:

1. Which type of chart will you use to compare and show the sales by region in Power BI?

Answer:

To compare and show the sales by region in Power BI, a bar chart or column chart is typically used. These charts are effective for comparing data across different categories, such as regions, and they clearly display differences in sales values.

Sample Dataset:

| Region | Quarter | Product | Sales |
|---------|---------|----------|-------|
| North | Q1 | Product A| 50000 |
| North | Q1 | Product B| 30000 |
| North | Q2 | Product A| 40000 |
| North | Q2 | Product B| 35000 |
| South | Q1 | Product A| 45000 |
| South | Q1 | Product B| 25000 |
| South | Q2 | Product A| 30000 |
| South | Q2 | Product B| 32000 |
| East | Q1 | Product A| 42000 |
| East | Q1 | Product B| 28000 |
| East | Q2 | Product A| 39000 |
| East | Q2 | Product B| 31000 |
| West | Q1 | Product A| 41000 |
| West | Q1 | Product B| 29000 |
| West | Q2 | Product A| 35000 |
| West | Q2 | Product B| 29000 |
| Central | Q1 | Product A| 48000 |
| Central | Q1 | Product B| 32000 |
| Central | Q2 | Product A| 43000 |
| Central | Q2 | Product B| 31000 |

Steps to Visualize in Power BI:

1. Import the Dataset:
- Open Power BI Desktop.
- Import the dataset into Power BI.

2. Create the Bar Chart:
- In the Fields pane, select the fields Region, Quarter, Product, and Sales.
- From the Visualizations pane, select the Clustered Bar Chart or Stacked Bar Chart icon.

3. Configure the Chart:
- Drag Region to the Axis field well.
- Drag Sales to the Values field well.
- Drag Quarter and Product to the Legend or Small Multiples field well to add additional dimensions.

4. Customize the Chart:
- Add data labels to show the exact sales figures.
- Adjust colors and styles to improve readability.
- Use filters or slicers to focus on specific regions, quarters, or products if needed.

Answer Explanation:
A bar chart or column chart with additional dimensions like Quarter and Product allows for a more detailed comparison of sales by region. You can see not only the total sales per region but also how each product performs across different quarters within each region.

### Additional Interview Questions:

2. How can you create a calculated column in Power BI to show the profit margin percentage?

Answer:

To create a calculated column in Power BI to show the profit margin percentage, follow these steps:

1. Go to the Data view in Power BI Desktop.
2. Select the table where you want to create the new column.
3. Click on the New Column button in the Modeling tab.
4. Enter the formula for the calculated column. For example:
Profit Margin = (Sales - Cost) / Sales * 100
5. Press Enter.

This will create a new column in your table showing the profit margin percentage for each row.

3. What is the difference between a measure and a calculated column in Power BI?

Answer:

The key difference between a measure and a calculated column in Power BI is how and when they are calculated and used:

- A calculated column is calculated row by row when the data is loaded into the data model. It is stored in the table and can be used like any other column in the table.
- A measure, on the other hand, is calculated on the fly based on the context of the visualization. Measures are typically used for aggregations, such as sums, averages, or counts, and they are not stored in the table but are recalculated as needed.

4. How would you handle a situation where your Power BI report is performing slowly?

Answer:

To handle a situation where a Power BI report is performing slowly, you can:

1. Optimize your data model by removing unnecessary columns and tables.

2. Use relationships and filtering carefully to minimize the amount of data processed.
3. Avoid using complex DAX calculations in visuals; instead, create calculated columns or tables if needed.
4. Use aggregate tables or pre-aggregated data to reduce the volume of data processed in visuals.
5. Ensure that your data source is optimized for performance, such as indexing important columns or partitioning large tables.
6. Use Power BI Performance Analyzer to identify and troubleshoot performance bottlenecks in your report.

𝐏𝐨𝐰𝐞𝐫 𝐁𝐈 𝐑𝐞𝐚𝐥 𝐓𝐢𝐦𝐞 𝐏𝐫𝐨𝐣𝐞𝐜𝐭 𝐒𝐞𝐫𝐢𝐞𝐬 📊

𝐃𝐢𝐟𝐟𝐞𝐫𝐞𝐧𝐜𝐞 𝐛𝐞𝐭𝐰𝐞𝐞𝐧 𝐑𝐞𝐩𝐨𝐫𝐭𝐬 𝐯𝐬 𝐃𝐚𝐬𝐡𝐛𝐨𝐚𝐫𝐝𝐬

𝐑𝐞𝐩𝐨𝐫𝐭:
𝐖𝐡𝐞𝐫𝐞 𝐲𝐨𝐮 𝐦𝐚𝐤𝐞 𝐢𝐭: Power BI Desktop,
𝐖𝐡𝐚𝐭 𝐢𝐭 𝐬𝐡𝐨𝐰𝐬: Reports in Power BI are detailed documents that use charts, graphs, and tables to explain your data. They help you analyze trends and find insights.

𝐃𝐚𝐬𝐡𝐛𝐨𝐚𝐫𝐝:
𝐖𝐡𝐞𝐫𝐞 𝐲𝐨𝐮 𝐦𝐚𝐤𝐞 𝐢𝐭: Power BI service
𝐖𝐡𝐚𝐭 𝐢𝐭 𝐬𝐡𝐨𝐰𝐬: Dashboards is a display of key metrics and KPIs from multiple reports. They give you a quick overview of your data.

𝐘𝐨𝐮 𝐜𝐚𝐧 𝐬𝐞𝐥𝐞𝐜𝐭 𝐯𝐢𝐬𝐮𝐚𝐥𝐬 𝐟𝐫𝐨𝐦 𝐦𝐮𝐥𝐭𝐢𝐩𝐥𝐞 𝐫𝐞𝐩𝐨𝐫𝐭𝐬 𝐭𝐨 𝐜𝐫𝐞𝐚𝐭𝐞 𝐚 𝐬𝐢𝐧𝐠𝐥𝐞 𝐝𝐚𝐬𝐡𝐛𝐨𝐚𝐫𝐝.