Top ten happiest countries

100%

Top ten happiest countries

✓ Published1🌍 Public

Last edited Nov 25, 2019

Created on Nov 17, 2019

Forked from Points in Motogp 2019

A ranked bar chart presents the top ten happiest countries by score, with Norway leading at 7.54 and Australia and Sweden tied at 7.28 at the bottom. Each bar is labeled with the country name and displays its numerical score at the end. The visualization uses D3 v5 to bind data from a CSV file to SVG rectangles, scaling bar lengths linearly with the score. The chart appears on a white background with no axes, focusing purely on the comparative scores and country order.

AI-generated description

MIT Licensed

Similar vizzes

Loading thumbnail…

Bar Chart

This bar chart displays the top 10 countries by Happiness Score from the World Happiness Report data, sorted in descending order before rendering. The chart uses a linear scale for the x-axis (Happiness Score) and a band scale for the y-axis (Country names), with bars filled in steelblue. The code leverages D3 v5’s `scaleLinear`, `scaleBand`, `axisLeft`, `axisBottom`, and `csv` to load and process the data, while React handles the component structure. The y-axis labels are cleaned by removing gridlines and domain paths, and the x-axis is labeled “Happiness Score.”

NNikithakatta30

80% match

Loading thumbnail…

Happiness Score for Top five Countries

This bar chart displays the happiness scores for six countries, with Finland and Denmark leading at scores of 7.769 and 7.600 respectively. The visualization uses a black bar for each country, arranged categorically along the x-axis, with the happiness score plotted on the y-axis. Built with React and D3 v5, the example renders through a custom `VizContainer` component that follows the margin convention. The chart is generated using the C3 library, which wraps D3 functionality, and the data is loaded via `chart.load` with hardcoded column values. The React framework handles the component structure while C3 manages the SVG rendering.

YYR2388

80% match

Loading thumbnail…

Top Internet Countries Visualization

This horizontal bar chart displays the Happiness Score for each country in the 2017 World Happiness Report, sorted from highest to lowest. The chart uses D3 v4 with SVG rendering, employing `d3.scaleBand` for the country axis and `d3.scaleLinear` for the happiness score axis. Country names appear along the left, with steelblue bars extending rightward, and a labeled x-axis at the bottom. Data comes from Kaggle’s World Happiness Report dataset.

CCurran Kelleher

79% match

Loading thumbnail…

Untitled

This interactive bar chart compares depression rates across the top 10 happiest countries for a selected year. A dropdown menu, populated from the data’s unique years, triggers a redraw. The chart uses d3.csv to load the dataset, d3.scaleBand and d3.scaleLinear for axes, and d3.axisBottom and d3.axisLeft for rendering. Bars are colored with a fixed teal fill, and country labels are rotated. The visualization updates dynamically by clearing the SVG and re-rendering for the chosen year.

NNikithakatta30

76% match

Loading thumbnail…

Let's make a BAR CHART with D3.js!

A bar chart displays happiness scores for ten countries, with horizontal bars sorted from Finland’s highest score to Austria’s lowest. The visualization loads data from a CSV file and renders SVG rectangles using D3 v5’s `scaleLinear` for bar widths, `scaleBand` for vertical positioning, and `selectAll`–`data`–`enter` joins. The chart fills the entire 960×500 SVG canvas, with no axes or labels, emphasizing raw score comparisons across countries.

Ssoniyaa-dv

76% match

Loading thumbnail…

World Happiness Ranking

This example visualizes the World Happiness Report 2017, ranking 155 countries by happiness scores. Using D3 v4 with SVG rendering, the visualization likely presents a bar chart or similar ranking display where each country's happiness score determines its position. The data comes from Kaggle's World Happiness dataset, which is based on a survey ranking countries by happiness levels. The visualization was built from scratch by the author to learn D3, using the classic bar-chart idiom to encode the happiness score, with the ranking clearly conveyed through the vertical ordering of the bars. The code is structured as a reusable block, making it easy to adapt for other datasets or analysis purposes.

CCJKraenzle

76% match

Loading thumbnail…

Your Project

This interactive bar chart visualizes the depression rate (Allages) for the top 10 happiest countries in a selected year, allowing users to filter by year via a dropdown menu. The chart updates dynamically, sorting countries by Happiness Score in descending order and displaying a title reflecting the chosen year. Built with React and D3.js, it uses `d3.csv` to load data, `d3.scaleBand` and `d3.scaleLinear` for axes, and SVG rectangles for bars. The code also employs `d3.axisBottom` and `d3.axisLeft` for rendering the axes.

Ssrividyap03

75% match

Loading thumbnail…

Bar Chart

This bar chart displays the top 5 countries with the highest Covid-19 happiness scores, ranked along the vertical axis with horizontal bars extending proportionally to each score. The visualization uses d3.scaleBand for the categorical y-axis and d3.scaleLinear for the numeric x-axis, with React components rendering SVG elements. Data is loaded asynchronously from a CSV file using d3.csv, with the dataset displayed coming from a gist about Covid-19 impact. Tooltips are implemented using SVG `<title>` elements showing formatted values, while axes and labels are styled via CSS.

NNikithakatta30

74% match