🔓✨ Unleash Your DoorDash Data: Visualize and Analyze with Excel and Tableau! 📊💻

Are you ready to dive into your DoorDash data and unlock valuable insights? In this exciting tutorial, we'll guide you through obtaining your DoorDash data export, cleaning it up in Excel, and visualizing it in Tableau! 🚀
Step 1: Request your DoorDash data export:
To get started, visit the DoorDash website (www.doordash.com) and navigate to your account settings. Look for the option to request your personal data export. 📥🌐
Step 2: Clean up your data in Excel:
Once you receive the export, import it into Excel. Apply necessary formatting, remove unnecessary rows/columns, and organize your data for analysis. 💻🧹
Step 3: Visualize with Tableau:
Import your cleaned data into Tableau (www.tableau.com) and let the magic begin! Create a minimum of four well-designed graphs using intentional color and grouping. Experiment with different graph types like maps, lines, bars, mixed charts, and pies. Make sure to edit labels and descriptions, and add titles, targeted labels, and annotations to help viewers understand the insights. 📊🎨
Step 4: Take it further with calculations:
To enhance your analysis, create calculations in Tableau, such as calculating averages, percentages, or Redfin indexes. These calculations will provide additional depth to your visualizations. 🔢📈
Step 5: Build a captivating dashboard:
Bring it all together by creating a dashboard with at least two graphs. Ensure proper spacing and layout to optimize the viewing experience. 📲📊
By following these steps, you'll gain a deeper understanding of your DoorDash data and uncover meaningful patterns and trends. Get ready to make data-driven decisions and take control of your DoorDash experience! 🔍✨
Don't forget to like, comment, and share this tutorial with fellow DoorDash users who are eager to unlock the power of their data. Let's embark on this data adventure together! 🎉🔓
🔗 Request your DoorDash data export: www.doordash.c...
Step 1: Request your DoorDash data export:
To get started, visit the DoorDash website (www.doordash.com) and navigate to your account settings. Look for the option to request your personal data export. 📥🌐
Step 2: Clean up your data in Excel:
Once you receive the export, import it into Excel. Apply necessary formatting, remove duplicates, and organize your data for analysis. 💻🧹
Step 3: Visualize with Tableau:
Import your cleaned data into Tableau (www.tableau.com) and let the magic begin! Create a minimum of four well-designed graphs using intentional color and grouping. Experiment with different graph types like maps, lines, bars, mixed charts, and pies. Make sure to edit labels and descriptions, and add titles, targeted labels, and annotations to help viewers understand the insights. 📊🎨
Step 4: Take it further with calculations:
To enhance your analysis, create calculations in Tableau, such as calculating averages, percentages, or Redfin indexes. These calculations will provide additional depth to your visualizations. 🔢📈
Step 5: Build a captivating dashboard:
Bring it all together by creating a dashboard with at least five well-designed graphs. Ensure proper spacing and layout to optimize the viewing experience. 📲📊
By following these steps, you'll gain a deeper understanding of your DoorDash data and uncover meaningful patterns and trends. Get ready to make data-driven decisions and take control of your DoorDash experience! 🔍✨
Don't forget to like, comment, and share this tutorial with fellow DoorDash users who are eager to unlock the power of their data. Let's embark on this data adventure together! 🎉🔓

[@laurenhand247]

Coming back to this video because my roommates wanted to see their DoorDash habits too 😂😂

[@thinkermetrics]

😂 mine is going exponential!

[@danrinaldi7505]

My report does not give delivery address, only store name where i picked up from. am i missing something?

[@thinkermetrics]

i'm doing consumer side, sounds like you're doing driver? they might not want to do that for various reasons on the dasher side