Scatter Chart Example

Fork of Scatter Plot with Color

This scatter plot visualizes the relationship between Happiness Score and ageStandard, with each point colored by country. The visualization uses React with SVG rendering, employing d3’s scaleLinear for axes, scaleOrdinal for categorical color mapping, and format for tick labels. Data is loaded from a CSV via d3.csv and parsed with numeric coercion. Hovering over a circle reveals a tooltip showing the happiness score.

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3D Scatter plot

This 3D scatter plot visualizes the World Happiness Report data for six countries, showing the relationship between Life Ladder scores, Social Support, and both Positive and Negative Affect. The visualization displays two marker types: orange circular markers for positive affect and gray square markers for negative affect. The code uses the Plotly.js library through the `Plotly.newPlot` function to render the interactive 3D chart, while D3.js handles data loading from a CSV file hosted on GitHub using `d3.csv`. The data is parsed and unpacked into trace objects defined with the `scatter3d` type.

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Fork of ICE 6: Scatter Plot Showing Life expectancy vs Happiness Score Scatter Plot

This scatter plot visualizes the relationship between life expectancy and happiness score across countries, with each circle representing a data point. The chart uses D3 v5’s `scaleLinear`, `axisLeft`, and `axisBottom` to map the CSV data onto an SVG canvas, with green circles and labeled axes. The code loads data from a GitHub-hosted CSV file, parses numeric fields, and renders a titled plot with grid lines and rotated axis labels. Happiness scores appear on the y-axis, while life expectancy spans the x-axis, revealing a positive correlation between the two metrics.

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Scatter Plot of Happiness and Y axis attributes

This scatter plot visualizes the relationship between happiness scores and several country-level attributes, including economy, social support, generosity, freedom, and perceived corruption, using data from the World Happiness Report. An interactive dropdown menu allows the viewer to switch the y-axis attribute, updating the visualization dynamically. The plot is rendered as an SVG using React and D3 v5, with `d3.scaleLinear` handling axis scaling and `d3.extent` and `d3.format` for domain and tick formatting. Axis components and data marks (circles) are implemented as reusable React components, with tooltips showing the happiness score on hover.

78% match

Fork of Scatter Plot of Happiness and Y axis attributes

This interactive scatter plot explores the relationship between the rate of depression across all ages and selected well-being indicators from the World Happiness Report. Users can switch between economy, social support, generosity, freedom, and perception of corruption using a dropdown menu, which updates the y-axis and its label. Built with React and D3 v5, the visualization uses D3’s `scaleLinear` and `extent` to compute scales, while custom React components (`AxisBottom`, `AxisLeft`, `Marks`) render SVG axes and circles. Point positions are set via `cx`/`cy` attributes, with tooltips formatted using D3’s `format`.

Scatter plot with D3.js!

This scatter plot displays the happiness scores of ten countries, with each country positioned along the y-axis and its score plotted on the x-axis. The visualization is rendered as an SVG using D3.js v5, employing `scaleLinear` for the x-axis and `scalePoint` for the categorical y-axis. Data is loaded from a CSV file via `d3.csv`, and axes are generated with `axisBottom` and `axisLeft`. The chart includes labeled axes and a title, with gridlines created through tick sizes.

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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.

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Untitled

This scatter plot displays the relationship between a country's Happiness Score and its rate of depressive disorders, with each point's size representing population and color encoding geographic region. The visualization uses d3.csv to load the data, d3.scaleLinear for both axes, and d3.scaleOrdinal for the categorical color mapping. SVG circles are positioned via the xScale and yScale functions, with axis labels and tick marks generated using d3.axisBottom and d3.axisLeft within a React-rendered SVG container.