Service Area

Area Chart

This area chart visualizes car sales in India from 2009 to 2019. Using D3 v5, it renders an SVG with a smoothed line and a pink filled area beneath it, showing the sales trend over time. The code loads CSV data, parses dates, and uses `d3.scaleTime` and `d3.scaleLinear` for the axes. It employs `d3.line`, `d3.area`, and `d3.curveBasis` to generate the paths, with styled tick marks and axis labels from `d3.axisBottom` and `d3.axisLeft`.

Ppavankalyan1507

Area Chart

This area chart displays the population of a state over time, using a smooth curved line and a filled brown area beneath it to emphasize the trend. The visualization is rendered as an SVG using D3 v5, with the x-axis representing years and the y-axis showing population values, both using linear scales via `scaleLinear`. The chart is built with D3’s `line`, `area`, and `curveBasis` generators, and axes are drawn with `axisBottom` and `axisLeft`. Data is loaded from a CSV file containing yearly population figures, and the styling is applied through CSS classes for the line, area, and tick marks.

Pprajoth0405

Area_Chart

This example visualizes country population data from 2001 to 2017 as a combined line and area chart, showing sales trends over time. The blue line traces the data points using a smooth curve, while the green filled area beneath it highlights the magnitude of values. Built with D3 v5, the visualization uses `d3.line`, `d3.area`, `d3.scaleLinear`, and `d3.curveBasis` to generate the SVG paths, with axes labeled via `d3.axisBottom` and `d3.axisLeft`. Data is loaded as CSV from a GitHub gist and parsed for rendering.

Mmanishcheruku

SSai Hemanth Babu Sunkari

area chart

This area chart displays car sales in India from 2009 to 2019, with a smooth curve and orange filled area beneath the line to emphasize sales trends over time. The visualization uses d3.csv to load the data, d3.scaleTime and d3.scaleLinear for axes, and d3.area with d3.curveBasis to generate the filled path. The SVG is rendered with margin-based positioning, and axes are styled using d3.axisBottom and d3.axisLeft with custom tick formatting.

Area Chart

This area chart visualizes car sales in India from 2009 to 2019, using a smooth curved line and an orange shaded region to emphasize the upward trend. The chart loads CSV data asynchronously, parses dates with `d3.timeParse`, and renders an SVG with `d3.scaleTime`, `d3.scaleLinear`, `d3.line`, and `d3.area` using `curveBasis`. Axis labels and gridlines are generated via `d3.axisLeft` and `d3.axisBottom`, with custom tick formatting via `d3.format`. The styling applies black strokes and bold blue labels through an external CSS file.

Eeravellisaimeghana

Bar chart Graph with D3.js

A horizontal bar chart displays the population of Indian states, with bars sorted by descending values from Uttar Pradesh to Andhra Pradesh. The visualization uses D3.js v7 to load CSV data via `d3.csv` and renders SVG rectangles scaled with `d3.scaleLinear` and `d3.scaleBand`. Axes are generated using `d3.axisLeft` and `d3.axisBottom`, with state labels on the y-axis and population counts on the x-axis. The bars are styled orange with axis labels added as SVG text elements.

DDanthalakirankumar

Ssridhardubala106@gmail.com

Area chart

This area chart displays the number of visitors for five selected U.S. states (California, Texas, Florida, New York, Illinois) from 2011 to 2021. The visualization fetches comma-separated data via d3.text and parses it into an array of objects. Using d3.area with a monotone X curve, it draws semi-transparent filled paths for each state, color-coded via d3.scaleOrdinal with d3.schemeCategory10. The SVG rendering includes linear scales for axes, a legend, and both axis labels, all positioned within defined margins.

Nnitinramagiri1@gmail.com

try

This animated visualization displays a bar chart of Indian states ranked by their number of public health facilities, using circles sized proportionally to the square root of each state's facility count. It uses D3.js transitions to sequentially grow the circles and labels with delays, then updates positions when data changes. The code leverages `d3.select`, `transition`, and `easeLinear` for animation, with data sourced from the HospitalBedsIndia.csv dataset. The visualization also includes a bold title and state names positioned above each circle.