zahra929

@zahra929·9 public vizzes

Rotating Globe

A rotating orthographic globe displays country boundaries and graticules, with land masses that change color on hover. The visualization uses D3 v5’s `geoOrthographic`, `geoPath`, and `geoGraticule` with a timer to continuously adjust the projection rotation. World map data comes from the World Atlas TopoJSON, while country names are loaded from a TSV file. Zooming is enabled via D3’s `zoom` behavior, and all rendering uses SVG paths.

Nov 26, 2020

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D3 Course 7: World Map - Rotating Globe

This example demonstrates an interactive orthographic globe that rotates continuously, with countries rendered in light green and highlighted red on hover. The visualization shows land masses, a graticule grid, and an ocean sphere against a black background, with zooming enabled. It uses D3 v5 and TopoJSON, applying d3.geoOrthographic and d3.geoPath to project world data from the world-atlas 50m dataset. A d3.timer drives the rotation by updating the projection’s rotation, while zoom behavior transforms the globe group. Country names are displayed via SVG title elements.

Nov 26, 2020

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D3 Course 7: World Map - Rotating Globe

This interactive visualization presents a rotating orthographic globe that continually spins on a tilted axis. The world’s landmasses, drawn in light green with dark borders, are accompanied by a graticule grid of meridians and parallels. The globe supports zooming via the d3.zoom behavior, while d3.timer drives the rotation by updating the d3.geoOrthographic projection’s rotation parameters. Country data comes from the world-atlas TopoJSON files, with names appended as SVG title tooltips; hovering highlights individual countries in red.

Nov 26, 2020

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Customizing Axes

This example shows the loss of forest area in Morocco across years as a horizontal bar chart, with each bar representing a year and its length corresponding to the area lost in hectares. The visualization uses D3 v5 APIs including `scaleLinear`, `scaleBand`, `axisLeft`, and `axisBottom` to customize tick formatting with `format('.3s')` and remove default domain lines for a cleaner look. Data is loaded from a CSV file and rendered as SVG, with labels for the title and x-axis provided in French.

Nov 26, 2020

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Customizing Axes

This bar chart displays the population of the top 10 most populous countries using 2018 estimates from the United Nations World Population Prospects. It demonstrates customized D3 axes, including formatted tick labels that convert large numbers to abbreviated units, grid lines, and a custom axis label. Built with d3.scaleLinear, d3.scaleBand, d3.axisLeft, and d3.axisBottom, the chart renders in SVG. The y-axis gridlines are removed, while the x-axis uses a tick format that replaces 'G' with 'B' for billions.

Nov 26, 2020

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Customizing Axes

This example displays the population of the top 10 most populous countries from the 2018 United Nations World Population Prospects estimate. It shows how to customize D3 axes by removing domain lines, adding tick marks and labels, and styling text. Using d3.scaleLinear and d3.scaleBand, the code formats x-axis values with d3.format, applies tick sizing, and adds a title and axis label. The SVG renders bars with a steelblue fill.

Nov 26, 2020

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Making a Bar Chart

A bar chart displays the population of the top 10 most populous countries, based on 2018 estimates from the United Nations World Population Prospects. Values are shown in millions, with countries listed along the vertical axis. The visualization uses d3.csv to load data, d3.scaleLinear and d3.scaleBand for scales, and customizes the d3.axisLeft and d3.axisBottom ticks with formatting. Population data is multiplied by 1000 before rendering as styled steelblue SVG rectangles.

Nov 26, 2020

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Making a Bar Chart

This bar chart displays the populations of the ten most populous countries using 2018 estimates from the United Nations World Population Prospects. The visualization highlights how China and India lead by a wide margin. Built with D3 v5, it uses `scaleLinear` for the x-axis and `scaleBand` for categories, with customized `axisBottom` and `axisLeft` elements. The population values are multiplied by 1000 in the code, and the SVG rendering positions steelblue rectangles while formatting tick labels with D3’s `format` function.

Nov 26, 2020

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Making a Bar Chart

This bar chart displays the populations of the top 10 most populous countries, based on 2018 estimates from the United Nations World Population Prospects. The visualization uses D3 v5 with SVG rendering, employing `d3.scaleLinear` for the x-axis and `d3.scaleBand` for the y-axis. Customized axes include a formatted tick label and removed domain lines, alongside a title and axis label. Population values are loaded from a CSV file and multiplied by 1000 before being drawn as steelblue bars.

Nov 26, 2020