Small Multiple Plots with D3.js

Scatter plot with D3.js!

This scatter plot displays the happiness scores of ten countries, showing each nation’s score along the horizontal axis with country names on the vertical axis. The visualization uses D3.js v5 with an SVG rendering approach, loading data from a CSV file. The code employs `d3.csv`, `scaleLinear`, and `scalePoint` to map scores and countries, while `axisBottom` and `axisLeft` generate the axes with tick lines. Circles are appended for each data point, styled with steelblue fill and opacity.

Ssoniyaa-dv

84% match

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.

Ssoniyaa-dv

83% match

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.

Fork of D3 Scatter Plot Matrix multiple colors

This visualization presents a 4x4 scatter plot matrix comparing seven numeric fields from a happiness dataset, with each point colored by country using the d3.schemeSet1 categorical palette. The code loads CSV data via d3.csv, parses numeric columns, and iterates through all variable pairs to generate individual SVG charts using d3.scaleLinear, d3.axisBottom, and d3.axisLeft. Titles appear only on diagonal cells, while off-diagonal plots show pairwise correlations, and the full window is divided into equal quadrants with hidden scrollbars for seamless viewing.

Untitled

A scatterplot maps each country's Happiness Score against a depression metric, with points colored by region and an interactive dropdown to toggle between the age20_40 and allages depression values. Built with d3.v6 and SVG, it uses `d3.scaleLinear` for axes, `d3.scaleOrdinal` for color, and `d3.axisBottom`/`d3.axisLeft` for ticks. Data comes from the Kaggle "One Small Step for Data" dataset on world happiness.

Fork of Stylized Scatter Plot

This interactive scatter plot displays country-level well-being indicators, with happiness score on the x-axis and a selectable y-axis metric (economy, social support, generosity, freedom, or corruption). Each circle represents a country, with an HTML `<title>` tooltip showing its exact happiness score. The React-based visualization uses D3 v5 scales (`scaleLinear`), axes (`AxisBottom`, `AxisLeft`), and CSV data loading (`d3.csv`) from a GitHub gist. Users switch the y-axis via a dropdown, triggering React state updates that re-render the SVG marks.

A6_ScatterPlot

This scatter plot visualizes the relationship between happiness scores and GDP per capita across multiple continents, with each circle colored according to its continent category. It shows how countries with higher GDP per capita tend to report higher happiness scores, while also revealing regional clusters and outliers. The visualization is built with D3 v7 and rendered as SVG, using a linear scale for both axes and an ordinal color scale for continental groupings. A d3-legend legend provides a color key for the continent categories, and the data is loaded from an external CSV file containing happiness and GDP metrics.

DDuc Pham

81% match

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.