Fork of Melting Data for Multiple Lines

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 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 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 multiple world regions, with each region represented as a colored line. It displays data from 1950 to 2100, combining UN population estimates with medium variant projections. The chart orders lines by their final population values and uses a legend to identify regions. The code employs d3.nest for data grouping, d3.line with curveBasis for smooth paths, and d3.scaleTime for the time axis. The underlying data is melted from wide to long format, with yearly values converted to date objects.

Hhaiyangwhy1015

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 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 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

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.

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