27_Temp Chart - Melting Data for Multiple Lines

100%

27_Temp Chart - Melting Data for Multiple Lines

✓ Published2🌍 Public

Last edited Dec 24, 2020

Created on Dec 23, 2020

Forked from 26_Temp in San Fran line Chart - multiple lines

This multi-line chart visualizes population over time by region, with lines sorted by their final values and a categorical color legend. The code uses D3 v5 with scalable vector graphics, employing `d3.nest` to group data, `d3.scaleTime` and `d3.scaleLinear` for axes, and `d3.curveBasis` to smooth line paths. Data is loaded via `d3.csv` from UN population estimates, melted from wide to long format.

AI-generated description

The line chart

MIT Licensed

Similar vizzes

Loading thumbnail…

28_Temp Chart - Melting Data for Multiple Lines - Selecting a year on line chart

This visualization displays population trends over time for multiple global regions as distinct colored lines. A dark vertical marker indicates the currently selected year, which can be changed by moving the mouse across the chart, updating the selection dynamically. The chart uses D3.js v5 with SVG rendering, employing scales, axes, and line generators to plot the data. It loads UN population estimates and projections from CSV files, melts the data into a tidy format, and uses a color legend for region identification.

FFMajid-ops

91% match

Loading thumbnail…

Fork of 27_Temp Chart - Melting Data for Multiple Lines

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.

Hhafiz9977

90% match

Loading thumbnail…

Melting Data for Multiple Lines

This visualization displays population over time by region, with a multi-line chart that sorts regions by their final population values. The data is melted from wide-format United Nations CSV files into tidy long-form rows using a custom function that iterates over years. The code uses d3.csv, d3.nest, d3.scaleTime, d3.scaleLinear, d3.scaleOrdinal, d3.line with curveBasis, and a custom color legend module. Animated axis labels and a title are rendered as SVG elements.

PPhilRG

89% match

Loading thumbnail…

Melting Data for Multiple Lines

This visualization displays population over time by region as multiple colored lines, using an ordinal color scale to distinguish each region. The chart orders the lines by their final population value, creating an intuitive ranking. It uses D3 v5 APIs including `nest()`, `scaleTime()`, `scaleLinear()`, `line()` with `curveBasis`, and `axisBottom`/`axisLeft`. Data is processed from UN population estimate CSVs, melted from wide to long format to generate the time-series paths.

1158andCAT

89% match

Loading thumbnail…

27 - melting data for multiple lines - dataviz 2018

A multi-line chart displays population trends over time for various countries and regions, using the United Nations population estimates and projections dataset. The visualization employs multiple vertical reference lines to highlight the current year, a hovered year, and a selected year, which users can change by clicking on the chart. The D3 code uses `d3.nest` to group data by region and `d3.line` with `d3.curveBasis` to draw the smoothed paths, while `d3.scaleOrdinal` and `d3.schemeCategory10` assign colors. A custom color legend function renders the region names and color swatches.

Zzach b.

88% match

Loading thumbnail…

Melting Data for Multiple Lines

This visualization displays population over time by region, with each line representing a different area and a color legend identifying them. The chart uses d3.csv to load UN population data, which is then processed using d3.nest to group data by region. The code demonstrates a data-wrangling technique called "melting," transforming wide-format data with columns per year into tidy data with year, name, and population fields. Multiple lines are drawn using d3.line and curveBasis, with d3.scaleTime and d3.scaleLinear handling the axes and d3.scaleOrdinal applying colors.

Ssingularity6033

88% match

Loading thumbnail…

Melting Data for Multiple Lines

This visualization shows population over time by region, with multiple lines representing different areas across a time series from 1950 to 2100. The chart displays data from UN population estimates and medium variant projections, processed through a melting technique that converts wide-format data into long format using `d3.csv`, `d3.timeParse`, and `d3.range`. The visualization uses `d3.scaleTime` and `d3.scaleLinear` for axes, `d3.nest` to group data by region, and `d3.line` with `curveBasis` for smooth paths. A color legend is implemented via a custom `colorLegend` component using `d3.scaleOrdinal` with `schemeCategory10`.

KKevinw97

88% match

Loading thumbnail…

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

87% match