Skip to main content
SimilarExport ZIP
100%

Fork of Melting Data for Multiple Lines

✓ Published0🌍 Public
Yyuva24
Last edited Jan 28, 2021
Created on Jan 28, 2021

This visualization shows population over time by region, with multiple lines tracking changes from 1950 to 2100. A color legend identifies each region, and the chart displays population values on a logarithmic scale with a title and axis labels. The code uses d3.csv to load UN population estimates and medium variant data, d3.nest to group by region, and d3.line with curveBasis for smooth paths. The colorLegend export creates a custom legend, while d3.axisLeft and d3.axisBottom render the axes.

AI-generated description
MIT Licensed

Similar vizzes

Loading thumbnail…

Fork of Melting Data for Multiple Lines

This chart displays population over time by region, with multiple colored lines showing changes from 1950 to 2100. A legend on the right identifies each region. The visualization uses d3.line with curveBasis for smooth paths, d3.scaleTime and d3.scaleLinear for axes, and d3.nest to group data by region. Data comes from UN population estimates and medium variant projections, processed through a custom melt function. The color legend is rendered using a custom colorLegend module.

Vvivianaaai@qq.com
96% match
Loading thumbnail…

Fork of Melting Data for Multiple Lines

This chart displays population over time by region, using multiple smoothed lines to compare trends from 1950 to 2100. The code uses d3.csv to load UN population estimates and a medium variant projection, then d3.nest to group data by region and d3.line with curveBasis to generate the paths. Axes are rendered with axisBottom and axisLeft, while a custom colorLegend function handles the categorical color scale. The visualization is drawn as an SVG with a title and axis labels.

YYasara Peiris
96% match
Loading thumbnail…

Fork of Melting Data for Multiple Lines 12

This visualization shows regional population trends over time, with multiple colored lines representing different world regions from 1950 to 2100. The chart uses a line chart with a time-based x-axis and a population y-axis, featuring interactive zoom functionality. The code leverages d3.csv, d3.nest, d3.line with curveBasis, d3.scaleTime, and d3.scaleOrdinal with schemeCategory10. A custom colorLegend component renders a categorical legend. The data comes from UN population estimates, processed through a custom melt function that reshapes the dataset for visualization. The SVG rendering includes grid lines and axis labels.

Ppplomith
95% match
Loading thumbnail…

Fork of Melting Data for Multiple Lines

This example visualizes population over time by region from 1950 to 2100, using data from the UN Population Estimates. It displays multiple line paths, each colored by region, with an ordinal color scale and a custom legend. The visualization uses d3.csv, d3.nest, d3.scaleTime, d3.scaleLinear, d3.line with curveBasis, and d3.axisBottom/axisLeft. Data is melted from wide to long format, filtered for regions, and rendered as SVG paths with mix-blend-mode multiplication.

Ssatra546
95% match
Loading thumbnail…

Fork of Melting Data for Multiple Lines

This visualization shows population trends over time for global regions, with multiple colored lines tracking each region’s population from 1950 to 2100. Data comes from UN population estimates merged with medium-variant projections. Using D3 v5, the code employs `d3.csv`, `d3.nest` for grouping, `d3.scaleTime`, `d3.scaleLinear`, and a custom color legend to distinguish regions. Lines are drawn with `d3.line` and `curveBasis`, while axes and labels use `d3.axisLeft` and `d3.axisBottom`, rendered as SVG.

Aaniosindustries
95% match
Loading thumbnail…

Fork of Melting Data for Multiple Lines

This visualization displays population trends over time for different global regions, using multiple lines to compare regional growth from 1950 to 2100. The chart employs D3 v5 APIs including `scaleTime`, `scaleLinear`, `scaleOrdinal`, `nest`, and `line` with `curveBasis` to render smoothed paths. Data is sourced from UN population estimates and medium-variant projections, processed through a custom melt function. A color legend created with `colorLegend.js` identifies each region, while the y-axis uses a custom formatting function to abbreviate population values.

EEmmanuel Chukwujindu
94% match
Loading thumbnail…

Fork of Melting Data for Multiple Lines

This visualization shows population over time by region, with multiple lines depicting trends from 1950 to 2100. The code uses D3 v5 APIs including `scaleTime`, `scaleLinear`, `line`, `curveBasis`, `nest`, and `axisLeft`/`axisBottom` to render SVG paths with a color legend. Data comes from UN population estimates and medium variant projections, processed by melting wide-format CSV data into tidy long-form rows.

777tinna
94% match
Loading thumbnail…

Fork of Melting Data for Multiple Lines

This visualization shows global population trends over time, with multiple colored lines representing different regions across the years 1950 to 2100. It uses a line generator with curveBasis interpolation to create smooth paths, with data melted from separate UN population estimate datasets for historical and projected figures. The chart employs d3.scaleTime, d3.scaleLinear, and d3.scaleOrdinal for axes and color encoding, while a custom colorLegend function renders the categorical legend. Axis grids with tick lines and formatted tick labels using d3.format provide readable comparisons between regions.

NNita
94% match