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This example displays a line chart of U.S. population percentages over time, using red strokes on an SVG canvas with labeled axes for Year and Percentage. The code loads CSV data via `d3.csv`, formats dates with `new Date()`, and scales the axes using `d3.scaleTime` and `d3.scaleLinear`. It renders the line with the `d3.line` generator and adds gridlines through `d3.axisBottom` and `d3.axisLeft` with tick sizes. The visualization is built with D3 v5 and styled through external CSS.

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Fork of Fork of line chart section 3

This line chart displays world population totalsales per year from 2013 to 2021, using a red line over a time-scaled x-axis and linear y-axis. The SVG visualization is built with D3 v5, loading CSV data from a GitHub gist, parsing date strings with `d3.timeParse`, and rendering axes and the line path via `d3.scaleTime`, `d3.scaleLinear`, `d3.axisBottom`, `d3.axisLeft`, and `d3.line`.

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Fork of Fork of ICE 7 Area Chart

This visualization shows the percentage of the USA population from 1960 to 2020 using a combined line and area chart, with a smooth curve connecting annual data points. The line traces the trend in maroon, while a pink fill highlights the area beneath the curve. Built with D3 v5, the code uses `d3.line`, `d3.area`, and `curveBasis` to generate the smoothed paths, with `d3.scaleLinear` and `d3.axisBottom`/`d3.axisLeft` for axes. Data is loaded from a remote CSV via `d3.csv` and rendered into an SVG.

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This line chart displays the USA population from 2011 to 2021, with years on the x-axis and population in millions on the y-axis. The visualization uses D3 v5 with SVG rendering, loading CSV data from a GitHub gist. It employs d3.scaleTime and d3.scaleLinear for axes, d3.axisBottom and d3.axisLeft for tick marks, and d3.line to generate the red population curve. The chart includes a rotated y-axis label and gridlines created via tick sizes.

KKolliTeja

Fork of Line Chart

This visualization presents a line chart of population over time for different countries, with the year on the x-axis and current population on the y-axis. The code uses d3.csv to load population data from a GitHub gist, then applies d3.scaleTime and d3.scaleLinear to map the data, and d3.line to generate the path. The SVG rendering includes axis labels and a title, with the line path styled in red via CSS. The example demonstrates a straightforward data-driven chart using D3 v5.

0057SatvikDamera

Fork of Line Chart

This visualization displays world population as a line chart, plotting year on the x-axis against percentage on the y-axis with pink stroke highlighting the trend. Built using D3 v5, it loads CSV data from a GitHub gist and employs `d3.scaleTime`, `d3.scaleLinear`, `d3.axisBottom`, `d3.axisLeft`, and `d3.line` to generate an SVG path. Gridlines, axis labels, and a title are appended within a margin-based layout.

Fork of US population

This line chart displays US population change over time, with the x-axis representing years and the y-axis showing population values. The visualization uses the d3.csv function to load data from a gist URL, mapping the date and value fields onto the axes. Built with the vega-lite-api library and rendered using vega-lite and vega, the chart applies a custom config to improve readability, including adjusted font sizes and colors, and includes tooltips via the vega-tooltip handler.

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