Melting Data for Multiple Lines

Melting data for multiple lines

This example visualizes population over time for multiple regions using a single chart with multiple lines. It employs a color legend to distinguish regions and a melt operation to reshape the data from wide to long format. The visualization is built with D3 v5, using `scaleTime`, `scaleLinear`, `scaleOrdinal`, `line` with `curveBasis`, and `nest`. Data is loaded from CSV files via `d3.csv` and processed with `timeParse`, `range`, and custom functions. The SVG rendering includes axes with gridlines and a title, with interactive sorting of regions by their final population values.

AAnShed

Melting Data for Multiple Lines

This example visualizes population over time by region using multiple smoothed lines, with a color legend identifying each region. The data is loaded from UN population estimate CSVs, then transformed using a custom `melt` function that reshapes wide-format data into long format for D3 line generation. The visualization uses `d3.scaleTime`, `d3.scaleLinear`, `d3.nest`, and precomputed curve paths with `d3.line` and `curveBasis`. Axes are rendered with `d3.axisBottom` and `d3.axisLeft`, while a custom legend component manages color-coded circles using `d3.scaleOrdinal` and `schemeCategory10`.

IIsaacwhyuenac

Melting Data for Multiple Lines

This example visualizes population over time by region using multiple smoothed lines, with a color legend and axis labels. It relies on D3 v5 APIs including `nest()`, `scaleTime`, `scaleLinear`, `scaleOrdinal`, `axisBottom`, `axisLeft`, and `line()`, rendering with SVG. Data is melted from wide to long format using a custom function, combining UN population estimates (1950–2014) with medium-variant projections (2015–2100) loaded via `csv`. Lines are drawn with `curveBasis` and sorted by final population value.

Mmaru25-alt

Melting Data for Multiple Lines

This visualization shows population over time by region, with multiple line paths drawn in a single SVG chart. The lines are grouped by region name and displayed with a categorical color scale, accompanied by a legend. Data comes from UN population estimates and medium variant projections, melted into tidy format with `d3.csv`. The chart uses `d3.scaleTime`, `d3.scaleLinear`, `d3.line`, `d3.axisLeft`, `d3.axisBottom`, `d3.group`, and `d3.scaleOrdinal` to render axes, lines, and legends with SVG.

HHe Jianfeng

Melting Data for Multiple Lines

This example shows population over time by region, with multiple lines rendered as overlapping paths in a SVG chart. The visualization uses d3.line with curveBasis to smooth the lines, and d3.nest to group data by region, sorting lines by their final value. The data comes from UN population estimates, processed through a custom melt function that transforms wide CSV data into a long format. A color legend is built using d3.scaleOrdinal and schemeCategory10, with axes created via d3.axisLeft and d3.axisBottom.

Wwblockchain

Melting Data for Multiple Lines

This example shows population trends over time by region, with multiple colored lines in an SVG chart. The data is processed by melting wide-format UN population estimates into tidy long-form rows using `range` and `timeParse`. The visualization uses `scaleTime`, `scaleLinear`, `scaleOrdinal`, `line` with `curveBasis`, `nest`, and `axisLeft`/`axisBottom`. A custom color legend displays categorical regions, and lines are sorted by their final population value using `descending`.

Ssafdarawan

Melting Data for Multiple Lines

This example shows population over time by region for the world, displaying multiple smooth lines on a chart with a color legend to distinguish regions. The data is melted from a wide CSV format into tidy rows, combining historical estimates from 1950 to 2014 with medium-variant projections from 2015 to 2100 from the UN. The chart uses D3 v5’s `scaleTime`, `scaleLinear`, `scaleOrdinal`, `line` with `curveBasis`, `nest` for grouping by region, and custom axis and legend components. Lines are rendered as SVG paths with a multiply blend mode, and the axis labels use custom formatting for population values.

Ssafdarawan

Melting Data for Multiple Lines

Ssafdarawan