Power BI reports using your IPL auction dataset

 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:

  1. Load Data:

    • Open Power BI → Click HomeGet DataExcel or CSV
    • Select your dataset and click Load.
  2. Create a Bar Chart:

    • Drag Team to the X-axis.
    • Drag Price Paid to the Y-axis.
    • Sort in descending order.
  3. 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:

  1. Create a Table:

    • Drag Players and Price Paid into the Table visual.
  2. Sort the Table:

    • Click on Price Paid → Sort Descending.
  3. Highlight the highest price:

    • Use Conditional Formatting → Set highest value in green.

 Question 3: What is the distribution of players by nationality?

Steps:

  1. Insert a Pie Chart:

    • Drag Nationality to Values.
    • Drag Players to the Legend.
  2. Customize the Pie Chart:

    • Show Percentage Labels.

 Question 4: Which type of players were most in demand?

Steps:

  1. Create a Bar Chart:

    • Drag Type (Batsman, Bowler, All-rounder) to the X-axis.
    • Drag Price Paid to the Y-axis.
  2. 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:

  1. Insert a Matrix Table:

    • Drag Team into Rows.
    • Drag Price Paid into Values.
    • Click on Price Paid → Select Average.
  2. Format the Table:

    • Apply Currency Formatting to Price Paid.

Question 6: Which team bought the most number of players?

Steps:

  1. Create a Bar Chart:

    • Drag Team to X-axis.
    • Drag Players to Y-axis.
  2. Sort the Chart:

    • Sort by Total Players Bought in descending order.

Question 7: Is there a correlation between player type and price paid?

Steps:

  1. Insert a Scatter Plot:

    • Drag Price Paid to X-axis.
    • Drag Type to Y-axis.
  2. Analyze the Trend:

    • Check if All-rounders are the most expensive.

Question 8: Which team has the most foreign players?

Steps:

  1. Filter for Foreign Players:

    • Use Nationality → Exclude "India".
  2. 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:

  1. Insert a Box Plot:

    • Drag Type to Categories.
    • Drag Price Paid to Values.
  2. Identify Outliers:

    • Look for extreme variations.

Question 10: What is the total spending trend across teams?

Steps:

  1. Insert a Line Chart:

    • Drag Team to X-axis.
    • Drag Total Price Paid to Y-axis.
  2. 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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