Fork of Area chart for electronics sale

Area chart for electronics sale

This area chart displays electronics sales figures across six months, from January through June, with a semi-transparent blue fill and a darker boundary line. The visualization uses D3.js v6 with SVG rendering, employing `d3.scalePoint` for the month-based x-axis and `d3.scaleLinear` for the sales values on the y-axis. The area and line paths are generated using the `d3.area()` and `d3.line()` generators, while axes are created with `d3.axisBottom` and `d3.axisLeft`. Sales data comes from a hardcoded array with monthly dollar amounts.

94% match

Fork of Line chart for electronics sales

This fork shows monthly electronics sales from January through June, with a steel-blue line tracing sales figures that peak in June. The chart uses D3.js v6 to render an SVG path via the line generator, with point and linear scales mapping months and dollar amounts. Axis labels are added using d3.axisBottom and d3.axisLeft, while a fixed dataset is defined inline in the script.

90% match

Line chart for electronics sales

This line chart displays electronics sales over six months, from January to June, with monthly sales values ranging between $49,000 and $57,000. A single steelblue line connects the data points, plotted using d3.line with a point scale for months on the x-axis and a linear scale for sales on the y-axis. The visualization, rendered as an SVG, includes labeled axes for month and sales amount, with data hardcoded in the script rather than loaded externally. Axis ticks are generated via d3.axisBottom and d3.axisLeft.

87% match

Fork of Area Chart

This fork of an area chart visualizes electronic sales from 2013 to 2021 using D3 v5 with SVG rendering. The view combines a smooth green area path with a black line overlay, both generated via d3.area and d3.line with curveBasis, while scaleTime and scaleLinear map the Year and Sales data. Axes are drawn with axisBottom and axisLeft, and the CSV data is loaded asynchronously from a GitHub gist.

RRahulSai05

Fork of Area Chart

This chart displays electronic sales from 2013 to 2021, combining a smooth line and a filled area to emphasize the sales trend over time. The visualization uses a time-scaled x-axis for sales dates and a linear y-axis for year values. Built with D3 v5, it employs `scaleTime`, `scaleLinear`, `axisBottom`, `axisLeft`, `line`, and `area` generators with a basis curve. The SVG rendering includes styled grid ticks and axis labels, with data loaded from a remote CSV file.

RRahulSai05

Area chart for electronic sales

This area chart displays total sales across product categories, using a steel-blue filled region beneath a line to emphasize the magnitude of sales for each category. The visualization is built with D3.js v7 and rendered as an SVG. It loads CSV data via `d3.csv`, converts the sales strings to numbers, and uses `d3.scaleBand` for the categorical x-axis and `d3.scaleLinear` for the y-axis. The area and line paths are drawn with `d3.area` and `d3.line`, respectively, and axes are labeled using `d3.axisBottom` and `d3.axisLeft`.

Ssreeramyamini@gmail.com

Fork of Area Chart

This is a fork of an area chart that visualizes electronic sales from 2013 to 2021. The chart combines a black line and a green filled area beneath it, with both rendered as SVG paths using D3 v5’s `line` and `area` generators with `curveBasis`. The x-axis maps years parsed via `d3.timeParse`, while the y-axis shows sales values formatted with `.3s`. Axes are created with `axisBottom` and `axisLeft`, and scales use `scaleTime` and `scaleLinear`. Data is loaded asynchronously from a CSV file using `d3.csv`.

Rrohinikotha

Fork of Scatter plot for Electronics sale

A reusable scatter plot displays monthly electronics sales data across six months, with each month's sales shown as a teal circle positioned by month on the x-axis and sales value on the y-axis. The chart uses D3 v6’s `scaleBand` and `scaleLinear` for axes, with `d3.axisBottom` and `d3.axisLeft` for tick labels, and `join` to bind circles to the data. The x- and y-axis labels are added via appended text elements, while the chart’s dimensions, margins, and data mapping are configurable through a builder-style API. The implementation renders to SVG and is a fork of an existing scatter plot template, with the data hardcoded in the script.