Skip to main content
SimilarExport ZIP
100%

Fork of 27_Temp Chart - Melting Data for Multiple Lines

✓ Published0🌍 Public
Hhafiz9977
Last edited Dec 24, 2020
Created on Dec 24, 2020

This visualization displays population trends over time for various global regions, with each region rendered as a distinct colored line using a spline curve. The chart employs D3 v5’s scaleTime, scaleLinear, and scaleOrdinal APIs to map years, population values, and categorical colors, respectively. Data is sourced from UN population estimates and projections, melted into a long format for multiple lines. An interactive color legend, built with a custom `colorLegend` function, annotates each region’s line.

AI-generated description

The line chart

MIT Licensed

Similar vizzes

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
92% match
Loading thumbnail…

Fork of Melting Data for Multiple Lines

This visualization shows population trends over time for global regions, with multiple colored lines representing different areas. The chart uses a time-scaled x-axis and linear y-axis, with a legend mapping colors to region names. The code relies on D3 v5 functions including `scaleTime`, `scaleLinear`, `scaleOrdinal`, `nest`, `line` with `curveBasis`, and `axisLeft`/`axisBottom`. Data is sourced from UN population estimates, melted from wide to long format via custom logic, and rendered as an SVG with blended strokes.

Ccpmorrill@gmail.com
92% match
Loading thumbnail…

Fork of Melting Data for Multiple Lines

This visualization shows population trends over time for global regions, with multiple colored lines plotted on axes labeled “Time” and “Population.” The data combines UN population estimates from 1950–2014 with medium-variant projections from 2015–2100, processed through a custom `melt` function. It uses d3.scaleTime, d3.scaleLinear, d3.scaleOrdinal with schemeCategory10, d3.line with curveBasis, d3.nest for grouping, and axis generators with tick formatting. A custom colorLegend component displays the categorical color scale, while SVG paths are styled with mix-blend-mode for overlapping lines.

Jjpl-web
91% 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
91% match
Loading thumbnail…

Fork of Melting Data for Multiple Lines

This visualization uses layered line charts to show population trends over time for various global regions, with a legend providing color-coded identification. Built with D3.js v5, the code processes a UN population dataset by melting it from wide to long format, then renders an SVG with time-based x-axis and population y-axis. The graph implements multiple D3 APIs including `scaleTime`, `scaleLinear`, `nest` for grouping, and `line` with `curveBasis` for smoothed paths, while a custom `colorLegend` function displays the categorical color scale.

Zzwang1010
91% 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
91% 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
91% match
Loading thumbnail…

Fork of Melting Data for Multiple Lines

This visualization displays population trends by region over time from 1950 to 2100, using data from the UN Population Estimates and Medium Variant datasets. Multiple lines represent different countries, colored via a categorical scale and sorted by their final population values. The chart is built with D3 v5, using `scaleTime` and `scaleLinear` for axes, a `line` generator with `curveBasis` for smooth paths, and `nest` to reshape the melted data. A custom legend and axis labels complement the SVG rendering.

NNikithakatta30
91% match