Pseudo Line Chart with D3

Yyellahemalatha@gmail.com

multi line chart- d3

This multi-line chart visualizes changes in six continental populations—Africa, Asia, Europe, North America, Oceania, and South America—over time using data loaded from a remote CSV file via `d3.text`. The code renders six distinct colored lines using `d3.line` paths within an SVG, with each region assigned a unique stroke color. The chart uses `d3.scaleBand` for x-axis months and `d3.scaleLinear` for y-axis values, which is fixed between 1,000 and 3,600,000. Interactive circular markers, created with SVG `circle` elements, display tooltips on mouseover via `d3.select` and event listeners, showing the specific data values for each month. The visualization is built with React, utilizes D3.js version 7, and is rendered entirely as vector graphics.

Line chart with multiple lines

This line chart displays population trends over time for global regions, with each region represented by a colored line and a legend identifying them. The data spans from 1950 to 2100, combining UN population estimates and medium-variant projections processed through a custom melt function. The visualization uses d3.scaleTime, d3.scaleLinear, and d3.scaleOrdinal with schemeCategory10, while d3.line with curveBasis generates the smoothed paths. Axis labels, grid lines, and a title are rendered via d3.axisBottom, d3.axisLeft, and SVG text elements.

LLongYuu

Line Chart

This line chart visualizes world population over time by region, with each region drawn as a distinct colored line on an SVG canvas. The chart uses D3 v5 APIs including `d3.scaleTime`, `d3.scaleLinear`, `d3.line` with curveBasis, and `d3.nest` to group data. Population estimates from 1950–2014 and medium-variant projections from 2015–2100 come from UN datasets loaded via `d3.csv`. A color legend using `d3.scaleOrdinal` maps regions, and a vertical line marks the year 2021, with mouse interaction logging hovered years to the console.

BBKirst3

Line Chart with Multiple Lines

This visualization shows population trends over time for multiple world regions, with each region represented as a distinct colored line and a legend identifying the regions. A vertical black line marks the currently selected year, and users can move their mouse across the chart to dynamically change that year. The code uses d3.line, d3.scaleTime, d3.scaleLinear, and d3.scaleOrdinal to render SVG paths, along with d3.nest to group the data by region. Population data comes from UN estimates and medium-variant projections, covering 1950 to 2100.

RRoger Yu-Hsiang Lo

Line Chart Visualizationfor country table dataset

This line chart visualization displays population trends for five different countries from 1980 to 2050, using the d3.line generator and d3.scaleLinear axes. Each country is represented by a distinct colored stroke—steel blue, red, green, orange, and purple—plotted against year on the x-axis and population count on the y-axis. The data is embedded directly in the code as hardcoded values across seven time points. The SVG rendering uses D3 v7 to create the paths, axes, and labels with explicit margins and dimensions.

JJames Cruz

d3 line chart (5 lines)

This line chart shows life expectancy growth from 1990 to 2010 for five North American countries, using colorbrewer’s Accent palette to distinguish each country. Built with D3 v7, the visualization draws five separate line paths using `d3.line()`, with gray circles marking individual yearly data points. The chart uses linear scales for both axes, with an ordinal color scale for the legend. The data is loaded from a CSV file via `d3.csv()` and simplified from the original global development dataset. The black background and white labels create high contrast, while the legend is added using the d3-legend plugin.

AAndrew

Line chart

A multi-line chart visualizes population changes for five countries—Germany, Italy, Japan, the United Kingdom, and the United States—from 1600 to 1916, with each line colored distinctly and labeled via tooltips. Built with D3.js, it uses `d3.time.scale` for the x-axis, `d3.scale.linear` for the y-axis, and SVG paths to render the trends. Data is loaded from a CSV file (`population.csv`) and formatted using `d3.format` and `d3.time.format`. The chart emphasizes comparative growth patterns over centuries.

LLuisSevillano

Line Chart with Multiple Lines

This line chart visualizes global population trends over time, grouped by world regions, using a multi-line layout with a categorical color legend. It combines historical estimates (1950–2014) with medium-variant projections (2015–2100) from UN population data. The visualization uses D3 v5 with `scaleTime`, `scaleLinear`, `scaleOrdinal`, `axisLeft`, `axisBottom`, `line`, `curveBasis`, and `nest` to structure and render the paths, while a custom `colorLegend` function displays the region labels as SVG circles and text.

RRoger Yu-Hsiang Lo