Skip to main content
SimilarExport ZIP
100%

World Population By Year 2015

✓ Published0🌍 Public
Rrebeccayc
Last edited Jan 29, 2020
Created on Jan 28, 2020

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.

AI-generated description
MIT Licensed

Similar vizzes

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
94% 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
94% 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
94% match
Loading thumbnail…

World Population by Year 2015

This area chart shows global population growth from 1960 to 2015, with the x-axis representing time and the y-axis displaying population in billions. The chart uses D3 v5’s area generator with a curveBasis interpolation to create a smoothly filled path, paired with scaleTime and scaleLinear for the axes. Data is loaded as CSV and parsed as Date and numeric population values, with axis labels and tick formatting applied via d3.axisBottom and d3.axisLeft, while the SVG rendering includes custom styling for the maroon fill and gray tick marks.

Ccyro666
94% match
Loading thumbnail…

World Population by 2015

This visualization shows the growth of world population from 1960 to 2015 using a filled area chart with a smooth curved baseline. The code uses d3.csv to load the data, then applies d3.scaleTime and d3.scaleLinear for the x and y axes, with d3.area and d3.curveBasis to generate the path. Axis labels and a title are added via SVG text elements, and grid lines are drawn through tick sizes. The y-axis formats values in billions using d3.format.

Ffahmijaafar
94% 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
93% match
Loading thumbnail…

World Population by Year 2015

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.

Ddaigokawabe
92% match
Loading thumbnail…

World population by year 2015

This visualization shows world population trends over time, with an area chart depicting population growth from historical data through 2015. The x-axis represents time in years, while the y-axis displays population counts formatted in billions. Built with React and D3 v6, the code uses `scaleTime`, `scaleLinear`, and the `area` generator with `curveBasis` to render the smooth filled path in SVG. Axes are created via `axisBottom` and `axisLeft`, with data loaded from a CSV file and parsed in the `csv` callback.

Nnsadath
92% match