Power BI reports using your IPL auction dataset
Power BI Research Questions for IPL Auction Dataset
Below is a step-by-step guide for generating Power BI reports using your IPL auction dataset with columns: Open Dataset
- Players
- Nationality
- Type (Batsman, Bowler, All-rounder, etc.)
- Price Paid
- Team
Question 1: Which team spent the most money in the auction?
Steps:
-
Load Data:
- Open Power BI → Click Home → Get Data → Excel or CSV
- Select your dataset and click Load.
-
Create a Bar Chart:
- Drag Team to the X-axis.
- Drag Price Paid to the Y-axis.
- Sort in descending order.
-
Customize the Chart:
- Change Data Labels → Turn it ON.
- Change Title to "Total Spending by Teams".
Question 2: Who is the most expensive player in the auction?
Steps:
-
Create a Table:
- Drag Players and Price Paid into the Table visual.
-
Sort the Table:
- Click on Price Paid → Sort Descending.
-
Highlight the highest price:
- Use Conditional Formatting → Set highest value in green.
Question 3: What is the distribution of players by nationality?
Steps:
-
Insert a Pie Chart:
- Drag Nationality to Values.
- Drag Players to the Legend.
-
Customize the Pie Chart:
- Show Percentage Labels.
Question 4: Which type of players were most in demand?
Steps:
-
Create a Bar Chart:
- Drag Type (Batsman, Bowler, All-rounder) to the X-axis.
- Drag Price Paid to the Y-axis.
-
Sort the Chart:
- Sort by Total Price Paid in descending order.
Question 5: What is the average price paid per player for each team?
Steps:
-
Insert a Matrix Table:
- Drag Team into Rows.
- Drag Price Paid into Values.
- Click on Price Paid → Select Average.
-
Format the Table:
- Apply Currency Formatting to Price Paid.
Question 6: Which team bought the most number of players?
Steps:
-
Create a Bar Chart:
- Drag Team to X-axis.
- Drag Players to Y-axis.
-
Sort the Chart:
- Sort by Total Players Bought in descending order.
Question 7: Is there a correlation between player type and price paid?
Steps:
-
Insert a Scatter Plot:
- Drag Price Paid to X-axis.
- Drag Type to Y-axis.
-
Analyze the Trend:
- Check if All-rounders are the most expensive.
Question 8: Which team has the most foreign players?
Steps:
-
Filter for Foreign Players:
- Use Nationality → Exclude "India".
-
Create a Column Chart:
- Drag Team to the X-axis.
- Drag Player Count to the Y-axis.
Question 9: Which player type has the highest price variation?
Steps:
-
Insert a Box Plot:
- Drag Type to Categories.
- Drag Price Paid to Values.
-
Identify Outliers:
- Look for extreme variations.
Question 10: What is the total spending trend across teams?
Steps:
-
Insert a Line Chart:
- Drag Team to X-axis.
- Drag Total Price Paid to Y-axis.
-
Check for Spending Patterns.
🔹 Final Dashboard Recommendations
- Use Slicers to filter by Team, Type, and Nationality.
- Add Drill-through Pages for player details.
- Use Conditional Formatting to highlight expensive players.
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