Interactividad

Clase 02 - Parte 2 - D3 Fernando Becerra

This interactive bubble chart visualizes the relationship between GDP per capita, life expectancy, and population across countries, using a logarithmic x-scale and linear y-scale. The D3 v7 code renders SVG circles sized by population and colored by continent, with hover interactions that dim non-target circles and display a tooltip showing country details. The example demonstrates the enter-update-exit data join pattern, along with d3.scaleLog, d3.scaleLinear, d3.scaleOrdinal, and d3.axisBottom/axisLeft, loading data from a Rosling dataset via d3.json.

Mmaxthamt

84% match

Interactive Color Legend Scatter Plot for Life Expectancy Data with Menu for Mortality

This interactive scatter plot visualizes correlations between life expectancy, infant deaths, and adult mortality across continents. Using React and D3 v5, the visualization includes dropdown menus to switch the x- and y-axis attributes, while continent data drives the ordinal color scale for the legend. Circle sizes encode GDP, and tooltips display life expectancy values. The color legend supports hover interaction with fade effects for highlighting specific continents, and the data originates from a CSV file loaded via d3.csv.

83% match

Interactive Color Legend Scatter Plot for Life Expectancy Data with Menu

This interactive scatter plot visualizes life expectancy data, allowing users to explore correlations between different health and economic attributes across continents. A pair of dropdown menus controls which variables appear on the X and Y axes, while a color legend enables filtering by continent with hover highlighting. The visualization uses D3 scales and SVG rendering with React components, including custom axes, marks, and a color legend that responds to mouse events.

82% match

The Wealth & Health of Nations

This interactive scatterplot animates 209 years of global development, tracing each nation’s per-capita income (x-axis), life expectancy (y-axis), and population (circle radius) across time. Clicking and dragging the year slider scrubs forward and backward through the dataset, with circles colored by geographic region. The visualization uses D3 v3’s scales (log, linear, sqrt), axes, and transitions, interpolating sparse historical data from Gapminder via linear interpolation and bisection. Rendered as animated SVG elements, it recreates Hans Rosling’s famous 2006 TED talk visualization.

Aabhineetsingh10

82% match

Covid-19 Analysis: Econ & Health

This interactive scatterplot explores relationships between economic and health indicators across countries, with dropdown menus on the X and Y axes allowing selection from fourteen attributes such as GDP, life expectancy, and mortality rates. Built with React and D3 v5, it uses scaleLinear for axes, renders SVG circles via the Marks component, and loads CSV data from a gist. Axis components format tick labels using d3.format, while the dropdown library updates state to re-scale the visualization.

CCosmos0603

Interactive Color Legends with informative Tooltips and dropdown menu

This interactive scatterplot visualizes life expectancy data, allowing users to explore correlations between variables such as HIV/AIDS, GDP, BMI, and adult mortality. A dropdown menu selects the X and Y axes, while a color legend differentiates data points by continent. Clicking a legend entry highlights that continent, and hovering over a data point reveals a tooltip with the country, year, and axis values. Built with d3.v5, it uses SVG and animated transitions, loading data from a CSV file.

Interactive Color Legend Scatter Plot for Health Expenditure Vs Life Expectancy

This interactive scatter plot visualizes the relationship between health expenditure and life expectancy across countries, with continents encoded by color. A dropdown menu allows users to switch which attribute maps to the X and Y axes, while hovering over the color legend highlights points from that continent and fades others. Built with React and D3 v5, it uses `scaleLinear` for axes, `scaleOrdinal` for colors, and SVG circles rendered via the `Marks` component. Data comes from a CSV file loaded with `d3.csv`.

Scatterplot with Voronoi

This scatterplot visualizes life expectancy versus GDP per capita for countries, using color to indicate region and circle size for GDP. The chart uses a D3.v4 Voronoi diagram, implemented with the `d3-voronoi` library’s `find(x,y,radius)` method, to detect when the mouse hovers near a data point without relying on an SVG overlay. This allows for efficient, lazy computation of the Voronoi grid and precise tooltip triggering. The interaction is enhanced with a distance limit, so tooltips appear only when the cursor is within a defined proximity of a circle.

PPhilippe Rivière