Flowers of the World’s Happiest Countries (Top 10)

Flowers of the World’s Happiest Countries: Visualizing the World Happiness Report

Introduction

Happiness is an elusive yet deeply rewarding state that has fascinated thinkers for centuries. Philosophers, theologians, psychologists, and even economists have all tried to understand what it truly means. Since the 1990s, an entire field known as positive psychology has focused on studying happiness and well-being. Rather than being just a fleeting positive emotion, happiness is a lasting state of well-being that comes from living a meaningful life filled with purpose, fulfillment, and deep contentment.

The pursuit of happiness is a universal goal shared by people around the world. Studies consistently show that most people consider happiness more important than achievements such as building wealth or acquiring material possessions. However, research also reveals that happiness is closely linked to economic well-being, as financial stability can play a significant role in overall life satisfaction.

I was thinking about happiness during a recent trip, traveling in the mountains and looking at the beautiful alpine flowers. So, I decided to visualize world happiness by country according to their national flowers. I built this Tableau dashboard to track how the world’s top 10 happiest nations bloom and shift over time.

Tableau Public: Flowers of the World’s Happiest Countries (Anim)

Data Preparation

Before diving into the calculations, we first need to reshape the raw data to support tracking changes in rankings over time.

Creation of Additional Table

I created this Rank table to display the row and column of the input data. We need to scaffold our coordinate space so Tableau has a structural grid to plot shapes on.

The Data Model

To create positions of flowers for each country, we need to make the rank continuous in order to detect the highest range and display the flower. So, I mapped the original flower data table to the created rank table using a 1=1 join in the Physical Layer. This generates the necessary marks for Tableau to draw without data dropouts when rankings shift over the years. Also added a new field, Rank No, to the Original Flower Data. It displays the reverse ranking, converting ranks from 10–1 to 1–10.

Original Flower Data (Sample):

(Note: Data extracted only for the top 10 ranked countries through time)

The Architecture: Coordinate Geometry

Instead of relying on basic scatterplots, we leverage conditional coordinate mechanics. Our goal is to assign explicit vertical slots to our flowers depending on the timeline state chosen by the user.

The Flower Coordinate Formula

// Flower Formula
IF [Rank No] = [Row] THEN “FLOWER” ELSE “BLANK” END

// Row 1 Baseline Engine
IF [Year] = 2025 THEN 5 ELSE [Row] END

The Flower formula is used separately for each country. It attaches its national flower PNG image, and for the “BLANK” condition, it attaches a fully transparent image to create a clean, floating infographic appearance.

Row 1 is used to dynamically display all flowers in a row for our baseline year, 2025. Because the data is already placed by its rating, if we want to see statistics in time, we simply change the year filter to see how world happiness shifted. A higher flower position correlates perfectly with a higher life evaluation ranking.

Final Takeaway

In this dashboard, we see that the happiest countries are those with strong economic backgrounds, aesthetically represented by their national flowers. We can visually associate world economic fluctuations and politics year by year. By linking mathematical coordinates with custom botanical shapes, we transform traditional data rows into an elegant narrative.