Gist 82f1412c4873ad80d3e4466bc5836efb

D3 Example

This example visualizes the growth of world population from 1950 to 2015 with a single black line chart. It shows a steady upward trend over time, with the x-axis representing years and the y-axis showing population counts in billions. The visualization uses D3.js version 3.5.5, specifically `d3.svg.axis()`, `d3.time.scale()`, and `d3.svg.line()` to construct the chart. Data comes from the United Nations Population Estimates, loaded from a CSV file via `d3.csv`. The SVG rendering includes styled axes with custom tick formatting that converts "G" to "B" for billion, and the chart is drawn with a thick black stroke.

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United Nations World Population Prospects 2019

This example visualizes global population change from 1950 to 2020 using the United Nations World Population Prospects 2019 dataset, cleaned and formatted as CSV. It displays population values for each country across annual columns, highlighting trends for major nations like China, India, and the United States. The visualization uses D3.js to render the data, with the source data loaded directly from the provided CSV file, enabling interactive exploration of demographic shifts over seven decades.

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Untitled

This example visualizes population growth over time for global regions, drawing on UN population estimates (1950–2014) and medium-variant projections (2015–2100). It renders multiline time-series curves using d3.line with curveBasis, scaled by d3.scaleTime and d3.scaleLinear, while a categorical d3.scaleOrdinal with schemeCategory10 assigns region colors. The chart includes axes, gridlines, and a custom color legend built via d3-selection. Data is processed by melting a wide CSV format into tidy rows, filtering for regions only, and concatenating the historical and projected datasets.

Ccyanea1

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D3 Example

This stacked area chart visualizes world population changes from 1950 onward using D3.js, with data from United Nations Population Estimates. The chart maps time on the x-axis and population on the y-axis, with each country represented by a colored area layer stacked atop one another. The visualization uses an SVG rendering with a time scale for the x-axis, a linear scale for population, and a categorical color scale for countries. A legend identifies the color-coded countries, and axes include formatted labels with a custom tick formatter that converts Giga to "B" for billions. The chart is interactive in that it responds to the loaded CSV dataset, dynamically stacking areas by country and rendering population values over time. This example is part of Curran's "Splitting Charts" screencast series and is forked from prior blocks, demonstrating iterative development of data visualizations using D3.js.This example demonstrates an interactive stacked area chart visualizing world population changes over time. Built with D3.js, it renders directly to SVG, creating a clean, scalable graphic. The chart maps time (year) to the x-axis and population to the y-axis, with each country's population represented as a distinct colored layer, stacked to show the total population distribution. The visualization uses a color legend for country identification, custom axis formatting (e.g., "B" for billion), and a smooth layering approach to display population trends across multiple countries from 1950 onward. The data comes from the United Nations Population Estimates.

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D3 Example

This example visualizes world population changes over time using an area chart, with the data sourced from the United Nations Population Estimates. It renders an SVG graphic where the x-axis represents time (years) and the y-axis shows population counts, formatted with a custom SI tick formatter that converts billions to "B". The code uses D3.js version 3.5.5, specifically the `d3.svg.area()` generator to create the filled area shape, along with `d3.time.scale()` for the time axis, `d3.scale.linear()` for the population axis, and `d3.svg.axis()` for the axes. The visualization is implemented as a single static chart without interaction.

Population time-series

This visualization displays population trends for global regions from 1950 to 2100, using animated line charts that color-code each region via a categorical scale. The data, sourced from UN population estimates, is processed through a custom melt function and rendered as SVG with D3 v5, React, and the `d3.axisBottom`, `d3.axisLeft`, and `d3.line` APIs. A color legend with animated transitions clarifies the mapping, while styled tick lines and labels enhance readability.

MManoj Betawar

D3 Example

This line chart visualizes world population trends over time, with each line representing a different country. The data comes from the United Nations Population Estimates and is plotted with population on the y-axis and time on the x-axis. The chart uses D3.js to render an SVG, with a color legend distinguishing countries, and axis labels for "Time" and "Population". The visualization highlights population growth patterns across selected countries from 1950 onward, using a custom tick format that abbreviates large numbers with "B" for billions.

JJorge Emilio Zapata Godoy

Population time-series

This interactive visualization displays population trends for global regions from 1950 to 2100, using animated line charts that show each region’s growth over time. The data comes from UN population estimates, processed and merged from two CSV files. The visualization is built with React and D3.v5, using d3.line for path generation, d3.scaleTime for the x-axis, and d3.scaleOrdinal with color legends to distinguish regions. The SVG rendering includes axis labels, a chart title, and interactive color legend, with animations applied to legend transitions.