World Happiness Ranking

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

88% match

Happiness Level Plot

This scatter plot displays each country’s life satisfaction ranking against the year, from 2004 to 2016, using data from the World Happiness Report 2017. It is built with D3 v5 and renders as an SVG, with a time-scaled x-axis and a linear y-axis. The code uses `scaleTime`, `scaleLinear`, `axisBottom`, and `axisLeft` to construct the axes, and appends semi-transparent orange circles to represent data points. The CSV dataset is loaded via D3’s `csv` method, and the plot includes axis labels and a title.

84% match

Happiness Level Scatter Plot

This interactive visualization displays global happiness levels from 2004 to 2017, using data from the World Happiness Report 2017. It combines a line chart showing happiness trends over time with a map, allowing users to click on a country to see its specific happiness trajectory or select a year to view global distribution. Built with D3 v5, the visualization uses `scaleLinear`, `scaleTime`, `axisLeft`, and `axisBottom` to construct the charts, while SVG rendering handles the map and line paths. The interface includes a dropdown menu for year selection and color-coded points representing happiness scores.

Happiness Level Chart

This visualization presents self-reported life satisfaction across countries from 2004 to 2017, using data from the World Happiness Report 2017. It combines a scatter plot with year and satisfaction metrics, a multi-line chart tracking trends per country, and an animated cartoon face that shifts expressions. Users select different satisfaction indicators via a dropdown menu and filter countries by clicking the color legend. The D3 v5 code builds SVG elements, uses scales like `scaleTime` and `scaleLinear`, and applies transitions to update data points and the face animation.

Happiness Level Plot

This scatter plot visualizes self-reported life satisfaction across the world from 2004 to 2016, plotting happiness rank (lower is better) against each year. The code uses d3.csv to load data from a modified World Happiness Report 2017 dataset, then renders orange semi-transparent circles via SVG. Axes are generated with d3.axisBottom and d3.axisLeft, while d3.scaleTime and d3.scaleLinear map the data domain. The visualization includes a title and axis labels, with gridlines drawn by extending ticks across the plot area.

World Happiness Report

This visualization displays the relationship between a country’s happiness score and its GDP per capita, with each circle colored by whether the country is classed as the “happiest country.” Built with the vega-lite-api and D3 v5, it loads CSV data from a GitHub gist and renders a scatterplot using `vl.markCircle`. The chart applies custom axis and label styling from a shared config, uses a tooltip to show country names, and fits the view to the window dimensions.

Mmkt-ds

World Happiness Scatter Plot

This scatter plot visualizes the relationship between happiness ladder scores and generosity across countries, with each red circle representing a country based on data from the World Happiness Report 2019. The visualization uses d3.scaleLinear for both axes, d3.axisBottom and d3.axisLeft for tick marks, and SVG circles rendered via d3.select and .enter().append('circle'). The chart includes axis labels and a title, with data loaded via d3.csv from an external dataset, and styled through CSS for circle opacity and tick formatting.

SShanthi Acharya

82% match