Skip to main content
SimilarExport ZIP
100%

World Population by Year 2015

✓ Published0🌍 Public
Ddaigokawabe
Last edited Jul 30, 2020
Created on Jul 30, 2020

This example visualizes world population trends over time with a single filled area chart, using an SVG renderer within a 960 by 500 canvas. The chart maps time on the x-axis and population on the y-axis, with the area filled in maroon and labeled axes for both dimensions. The code uses D3 v5 APIs such as `scaleTime`, `scaleLinear`, `area` with `curveBasis`, and `axisLeft`/`axisBottom` to generate the visualization. Population data is loaded from a CSV file, with years parsed as JavaScript `Date` objects and population values converted to numbers.

AI-generated description
MIT Licensed

Similar vizzes

Loading thumbnail…

World population

This example displays world population trends over time using an area chart, with the x-axis representing years and the y-axis showing population counts. The visualization renders as an SVG with a maroon, partially transparent filled area and axis labels. The code uses D3 v5 APIs including `scaleTime`, `scaleLinear`, `area`, `axisBottom`, `axisLeft`, and `curveBasis` for smoothing, and loads population data from a CSV file. The dataset spans multiple years, with values formatted using `d3.format`.

PPeter S
93% match
Loading thumbnail…

World Population By Year 2015

This visualization displays global population trends from 1960 to 2015 using a filled area chart. The area is rendered in maroon with a smooth curve, showing population growth over time on a year-based x-axis and a population count y-axis that formats values in billions. The chart uses D3 v5’s `area()` generator with `curveBasis` to create the smooth shape, while `scaleTime` and `scaleLinear` map the data. Axis labels and a title are added via SVG text elements, with data loaded from a CSV file.

Rrebeccayc
92% match
Loading thumbnail…

World population by year 2015

This chart displays world population from 1960 to 2015 as a filled area plot, with time on the x-axis and population on the y-axis. The data comes from a CSV file loaded via `d3.csv` and rendered as an SVG path using `d3.area` with a basis curve. Axes are generated with `d3.axisBottom` and `d3.axisLeft`, while scales use `d3.scaleTime` and `d3.scaleLinear`.

Nnsadath
92% match
Loading thumbnail…

World Population By Year 2015

This visualization shows the growth of world population over time, with a filled area chart that uses a smooth curved baseline to represent population values. The data is loaded from a CSV file and parsed with d3.csv, then rendered as an SVG path generated by d3.area with a curveBasis interpolation. The chart includes time-scaled x-axis and linear y-axis with tick formatting that converts population values to billions, while d3.scaleTime and d3.scaleLinear handle the coordinate mapping.

Rrainyrainyguo
92% match
Loading thumbnail…

World Population by 2015

This visualization displays the growth of world population over time, using an area chart that fills the space beneath the curve with a maroon color. The x-axis uses a time scale for years and the y-axis uses a linear scale for population counts, with axis labels and tick marks formatted for readability. The chart is rendered as an SVG using D3 v5, with the `area()` generator and `curveBasis` smoothing the population trend. Data is loaded from a CSV file, and scales, axes, and labels are created using D3’s `scaleTime`, `scaleLinear`, `axisBottom`, and `axisLeft`.

RRenato Hermoza Aragonés
92% match
Loading thumbnail…

World Population By Year 2015

This visualization displays global population trends from 1950 to 2015 using an area chart with a smooth curve. The SVG rendering relies on D3 v5 functions including `scaleTime`, `scaleLinear`, `area`, `axisBottom`, and `axisLeft`. Population values are formatted with abbreviations (e.g., "B" for billions) using D3's `format` function. The data comes from a CSV file loaded via D3's `csv` method, and the chart includes labeled axes and a title.

Ccharliemok
92% match
Loading thumbnail…

World Population by Year 2015

This visualization displays global population growth from 1960 to 2015, using an area chart with a smoothed basis curve to show population values in billions over time. The D3 v5 code loads CSV data, scales the x-axis with `scaleTime` and the y-axis with `scaleLinear`, and renders an SVG path via the `area` generator. Axis labels and gridlines are added using `axisBottom` and `axisLeft`, with population values formatted using D3’s `format` function.

MMichał Szumnarski
92% match
Loading thumbnail…

World population 2015

The visualization shows global population growth over time as a filled area chart. The chart plots population on the y-axis against years on the x-axis, using a steelblue semi-transparent area to represent the data. The code leverages d3.scaleTime and d3.scaleLinear for the axes, with d3.axisLeft and d3.axisBottom generating the gridlines and labels. Data comes from a CSV file loaded via d3.csv, and the area shape is created using d3.area. The SVG rendering includes a title and custom axis labels for time and population.

JJacob van Lingen
92% match