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WorldHappiness Report2022

✓ Published1🌍 Public
Ssamozarif@gmail.com
Last edited Sep 12, 2024
Created on Sep 5, 2024

This example displays the first record of the World Happiness Report 2022 dataset as formatted JSON text. The code imports the CSV data, converts all numeric fields to numbers, and renders the first data object inside a `<pre>` element using a template literal. The visualization demonstrates the structure of the dataset, including the happiness score and its contributing factors, using vanilla JavaScript and the imported data.

AI-generated description

The (https://www.kaggle.com/datasets/ajaypalsinghlo/world-happiness-report-2022?select=World+Happiness+Report+2022.csv)), loaded and parsed as CSV.

Five tasks that can drive the design of visualizations: 1. Analyze the correlation between GDP per capita and the happiness score across countries. Task type: Compare correlation. 2. Understand the geographic distribution of happiness scores by country. Task type: Explore spatial. 3. Observe how different factors (GDP per capita, social support, healthy life expectancy, etc.) contribute to happiness in top-ranking countries. Task type: Break down composition. 4. Identify countries with high happiness scores but low perceptions of corruption. Task type: Identify extremum (high happiness, low corruption). 5. Examine the distribution of happiness scores across different continents or regions. Task type: Distribution.

MIT Licensed

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