Fork of Melting Data for Multiple Lines

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

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

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

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

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

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

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

Fork of Melting Data for Multiple Lines

This example shows population trends over time for multiple world regions from 1950 to 2100, using data from United Nations estimates and medium variant projections. Multiple line paths are drawn with d3.line using curveBasis, colored by a d3.scaleOrdinal with schemeCategory10, and accompanied by a custom color legend. The code melts the dataset into tidy rows, nests it by region with d3.nest, and renders axes with d3.axisBottom and d3.axisLeft on an SVG canvas.

CChrisishere