My goal of this analysis was to take viewers on a journey of how love evolves - from dating apps to weddings and honeymoons - all while making the data simple, clear, and easy to understand.
I used Power BI purely as the visualization tool. Everything you see was built using Power BI’s default visuals - no third-party or custom visuals were used. This was an intentional choice to highlight the value of Power BI straight out of the box.
1. First Impressions Matter
I started by exploring how people feel about dating apps - because swiping is easy, but finding love isn’t always that simple. I broke down the experiences by gender and income to see who’s having a great time and who’s just over it. My goal was to show that dating apps aren’t a one-size-fits-all experience, and first impressions can make or break the journey.
2. From Matches to Meetups
Once I understood how people felt about dating apps, I wanted to see who’s actually making it from a match to a real-life date. I looked at different generations and how much time they spend swiping, because let’s be honest - some are searching for love, while others are just scrolling for fun.
3. The Price of Saying 'I Do'
After dating comes commitment, so I shifted the focus to weddings and how much they actually cost. I wanted to see how spending habits have changed over time and which generation is splurging the most on their big day.
4. Romance, Relaxation & Room Service
No love story is complete without a honeymoon, so I wrapped up the journey by looking at where newlyweds go to celebrate. I explored top destinations, how long couples honeymoon, and when they travel the most. After all the wedding stress, I wanted to highlight the final chapter - where love meets adventure and relaxation (and maybe a few overpriced cocktails!)
To make the dashboard more interactive and user-friendly, I included an expand and collapse feature using the small “+” icons next to each visual title. When a user clicks on a “+” icon, it expands the section, revealing a more detailed explanation of the chart along with key takeaways.
If the user wants to minimize the details, they can simply click the “-” icon, which collapses the explanation and returns the dashboard to its cleaner, more compact view. My goal of this was to allow users to choose when they want more information and when they prefer a quick, high-level overview.
Finally, I also designed the left sidebar, which is present on every page, to provide quick and relevant key metrics based on the data shown on that specific page. Instead of overwhelming users with too much detail at first glance, the sidebar highlights the most important numbers, offering a snapshot of the insights.
I’d love to hear your thoughts and feedback as I’m always looking for ways to improve and make data storytelling even better.
Let me know what you think! 🙂
LinkedIn: https://www.linkedin.com/in/sahir-maharaj/
