📊 Love & Life Quality Analysis💖

In this report on love, I used fictitious data generated from mockaroo The data was integrated into Power BI, processed in Power Query, and enriched with DAX measures to ensure consistency and realistic insights.

✨ The project consists of five pages:

1️⃣ Love & Happiness Overview ❤️
An overview of the relationship between love (marital status) and happiness.
📊 Visuals: Happiness meter, navigation buttons, stacked bar chart (marital status & happiness), optional world map.
🔍 Analysis: Global happiness levels, differences based on marital status, and geographic trends.

2️⃣ Relationship and Happiness 💑
Exploring the impact of marital status on happiness across different age groups.
📊 Visuals: Grouped bar chart (happiness by age & marital status), scatter plot (age vs. happiness), violin plot (happiness distribution using Python).
🔍 Analysis: How happiness evolves with age, key life moments, and which marital status is most associated with happiness.

3️⃣ Love & Work-Life Balance ⚖️
Examining the connection between love, productivity, and work-life balance.
📊 Visuals: Grouped bar chart (productivity by marital status), combined bar and line chart (productivity and happiness), line chart (yearly evolution).
🔍 Analysis: Are people more productive in relationships? Is there a link between happiness and productivity? How does love influence work-life balance?

4️⃣ Love and Life Expectancy ⏳
Analyzing the relationship between love and longevity.
📊 Visuals: Grouped bar chart (life expectancy by marital status), scatter plot (happiness vs. life expectancy), stacked bar chart (happiness score explained by age).
🔍 Analysis: Do married or coupled individuals live longer? Does happiness impact longevity?

5️⃣ Synthesis & Insights ❤️📊
Summarizing key findings and providing recommendations.
📊 Visuals: Grouped histogram, two grouped bar charts, slicers (continent, age, year).
🔍 Analysis: Key takeaways and recommendations for improving happiness, productivity, and life expectancy.