Skip to main content
SimilarExport ZIP
100%

test

✓ Published1🌍 Public
Aamulyabhagwat1999@gmail.com
Last edited Jul 11, 2024
Created on Jul 11, 2024
Forked from Hello VizHub

This example displays population changes over time for multiple countries as overlapping area charts. It loads CSV data from a GitHub gist, parses the year columns, and renders the visualization using D3 v6 APIs including `d3.scaleTime`, `d3.scaleLinear`, `d3.area`, and `d3.curveMonotoneX`. A categorical color scale assigns hues per country, with a legend positioned to the right. The SVG output is generated via a reusable chart function and D3 selection methods.

AI-generated description

An example showing the capabilities of VizHub:

  • Loads D3 via UNPKG.
  • Demonstrates use of import from "d3".
  • Demonstrates use of import from local ES6 modules.
MIT Licensed

Similar vizzes

Loading thumbnail…

test10

This area chart displays population trends for multiple countries over time, with each country represented by a colored filled area and a corresponding legend. The visualization is built using D3.js, specifically employing `d3.scaleTime`, `d3.scaleLinear`, `d3.area`, and `d3.axisBottom`/`d3.axisLeft` for rendering. Population data is fetched from a CSV file and processed into date-value pairs, while the color scale uses `d3.scaleOrdinal` with `schemeCategory10`. The chart is rendered as an SVG with customizable dimensions and margins.

Aamulyabhagwat1999@gmail.com
88% match
Loading thumbnail…

amulya_test

This example uses the D3.js library to render a multi-series area chart showing population changes over time for multiple countries. The visualization loads data from a CSV file and processes it into time-series form, with each country's values mapped to a smooth monotone curve. The chart includes computed axes, a categorical color scheme, and a legend to distinguish between the countries. The code demonstrates D3's modular API, including `scaleTime`, `area`, and `axisBottom`, alongside custom ES6 modules for data processing.

Aamulyabhagwat1999@gmail.com
85% match
Loading thumbnail…

Fork of test

This area chart visualizes population trends over time for multiple countries, using filled paths to compare growth patterns across categories. Built with D3 v6, the code loads CSV data from a GitHub gist, processes it into time-series values, and renders axes and colored areas via `d3.area` and `d3.curveMonotoneX`. A categorical color scale and legend identify each country, while the chart is generated as SVG with custom margin and sizing options.

Aamulyabhagwat1999@gmail.com
85% match
Loading thumbnail…

Fork of Hello VizHub

This example demonstrates an area chart visualizing population data across multiple countries over time, with a legend identifying each series. It loads CSV data from a GitHub gist and processes it with a local ES6 module. The chart uses D3 v6 APIs including `d3.csv`, `d3.scaleOrdinal`, `d3.area`, and `d3.axisBottom`/`d3.axisLeft`, while rendering via SVG. The reusable `areaChart` module exports a configurable function, and the visualization applies `schemeCategory10` for colors and `curveMonotoneX` for smoothing.

Aamulyabhagwat1999@gmail.com
81% match
Loading thumbnail…

Test fork

This area chart displays population data for various countries across three distinct census years (2022, 2020, and 1970), using a stacked layout. The visualization employs D3.js’s `scaleBand` for the categorical country axis and `scaleLinear` for the population scale. Built with a custom `d3.area` generator, the chart renders paths filled with an ordinal color scheme. The code loads CSV data from a GitHub gist, includes axis labels for "Country" and "Population," and overlays direct value labels on each segment.

Ssahajm99@gmail.com
81% match
Loading thumbnail…

area chart

This example shows a stacked area chart of population trends over time for multiple groups, with a legend identifying each series. It loads CSV data from a GitHub gist, using `d3.csv`, and renders the chart as SVG. The code uses `d3.stack` to compute layered series, `d3.area` with `y0` and `y1` accessors to generate paths, and `d3.scaleOrdinal` with `d3.schemeSet2` for colors. Axes are drawn with `d3.axisBottom` and `d3.axisLeft`, with data-driven tick formatting via `d3.format`.

Aamulyabhagwat1999@gmail.com
81% match
Loading thumbnail…

test d3

This example displays a horizontal bar chart of population data for three countries (China, India, and the United States) loaded from a local CSV file. The SVG rendering uses D3 v7’s modular API, including `scaleLinear` and `scaleBand` for axes, with `axisLeft` and `axisBottom` for tick marks. Rectangles are appended to the SVG group and sized according to the scaled population values, while the chart uses a steelblue fill and generous font sizing.

Oowenking2710@gmail.com
80% match
Loading thumbnail…

Fork of aera chart test

This area chart visualizes population trends over years for the World and its major areas, using distinct colors per country. Built with D3.js, it employs `scaleTime` and `scaleLinear` for axes, a `d3.area()` generator with a monotone curve, and `axisBottom`/`axisLeft` for ticks. Data is fetched from a CSV URL and processed via `timeParse`. The SVG output includes gridlines, a title, and a legend, rendered with a color scale from `schemeCategory10`.

Aamulyabhagwat1999@gmail.com
80% match