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119h61a05c9@cvsr.ac.in
Last edited Oct 28, 2025
Created on Oct 28, 2025
Forked from third

This line chart visualizes monthly sales growth from January 2021 through January 2025, showing a steady upward trend from 420 to 1,195 units. The chart is rendered as an SVG using D3.js v6, with a monotone-smoothed blue line and orange circular markers at each data point. The time-series data is loaded from a CSV file and parsed using `d3.timeParse`, with scales set via `d3.scaleTime` and `d3.scaleLinear`, and axes drawn using `d3.axisBottom` and `d3.axisLeft`. Rotated month labels and custom titles complete the visualization.

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This line chart visualizes monthly sales growth from January 2021 to January 2025 using a smooth monotone curve. The SVG rendering relies on d3.scaleTime, d3.scaleLinear, d3.line with curveMonotoneX, and d3.axisBottom/axisLeft, with data loaded via d3.csv from sales_trend.csv. Orange circles mark individual data points, while labeled axes and a title clarify the upward trend.

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This area chart displays monthly sales growth from January 2021 through January 2025, showing a steady upward trend in units sold. The D3.js v6 visualization uses `d3.area()` with `d3.curveMonotoneX` to render a smooth filled path, with lightsteelblue fill and steelblue stroke. The code loads data from a CSV file via `d3.csv()`, parses dates with `d3.timeParse()`, and constructs time and linear scales using `d3.scaleTime()` and `d3.scaleLinear()`. Grid lines are added through custom axis configurations, while rotated month labels and axis titles provide context. The SVG output includes a white background, rounded corners, and a subtle shadow effect.

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This area chart visualizes monthly sales growth from January 2021 through January 2025, with each data point from the `sales_area.csv` file showing a steady upward trend. The visualization uses D3.js v6, employing `d3.scaleTime`, `d3.scaleLinear`, `d3.area`, and `d3.curveMonotoneX` to render a smooth, filled area path in SVG. The chart includes rotated x-axis labels, grid lines, and axis labels, with the area fill set to `lightsteelblue` with a `steelblue` stroke.

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This example shows the monthly sales trend from 2021 to 2025 as a smooth line chart. The chart displays a single steelblue line with orange data points, with rotated month labels on the x-axis and a linear y-axis. Built with D3 v6, the code uses `d3.csv` to load `sales_trend.csv`, `d3.scaleTime` and `d3.scaleLinear` for axes, `d3.line` with `d3.curveMonotoneX` for the smoothed path, and `d3.axisBottom` and `d3.axisLeft` for tick marks. The SVG rendering includes a title and axis labels.

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This area chart displays monthly sales growth from 2021 to 2025, with a monotonically increasing trend from 420 to 1,320 units. The visualization loads data from a CSV file, parses dates with `d3.timeParse`, and renders the area using D3's `d3.area` generator with a monotone X curve. It includes formatted axes, rotated month labels, grid lines, and clear axis labels for readability. The SVG output is styled with a light background and a shaded area against a steel-blue stroke.

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