Fork of Fork of Fork of ICE 7 Line Chart

Fork of Fork of Fork of ICE 7 Line Chart

This line chart shows car sales in India from 2009 to 2019, with years on the x-axis and sales figures on the y-axis. The visualization uses D3 v5 to load CSV data, parse dates with `d3.timeParse`, and render an SVG path via the `d3.line` generator. Axes are built with `d3.axisBottom` and `d3.axisLeft`, while scales use `d3.scaleTime` and `d3.scaleLinear`. The chart includes labeled axes, grid lines, and a red line styled through CSS, with a dark background theme.

Nnagamaheswar

Fork of Fork of ICE 7 Line Chart

This line chart displays car sales in India from 2009 to 2019, with years on the x-axis and sales volume on the y-axis. The visualization uses D3 v5 with SVG rendering, employing `scaleTime` and `scaleLinear` for axes, `line` for path generation, and `csv` for data loading. Grid lines are styled via axis tick marks, and the chart includes rotated axis labels. Time parsing converts date strings into JavaScript `Date` objects for accurate temporal scaling.

Ssaiteja0725

Fork of Fork of Fork of ICE 7 Line Chart

This line chart visualizes car sales in India from 2009 to 2019, with a line path connecting annual sales data points. The chart is rendered as an SVG using D3 v5, with time-scaled x-axis and linear-scaled y-axis. The visualization employs `d3.axisBottom` and `d3.axisLeft` for axes, `d3.line` for the path generation, and `d3.scaleTime` and `d3.scaleLinear` for scaling, with data parsed from a CSV source using `d3.csv` and `d3.timeParse`.

DDivyaVellanki

Fork of Fork of ICE 7 Line Chart

This chart visualizes car sales in India from 2009 to 2019, using a line plot to show the trend over time. The SVG is rendered with D3 v5, using `scaleTime` and `scaleLinear` for the axes, `axisBottom` and `axisLeft` for ticks, and the `line` generator to create the path. Sales values are formatted with `d3.format`, and data is loaded from a CSV via `d3.csv`. Grid lines and a styled red line are added for clarity.

Bbindhureddy98

Fork of Fork of ICE 7 Line Chart

This chart displays car sales in India from 2009 to 2019 using a line graph, with the year on the x-axis and scores (representing sales figures) on the y-axis. The visualization is built with D3 v5, using `scaleTime`, `scaleLinear`, and `line` to create the path, while `axisBottom` and `axisLeft` render the labeled axes with gridlines. Data is loaded from a remote CSV file, and the SVG output is styled with red line strokes and tick labels set against a dark background.

Ssaivinay143

Fork of ICE 7 Line Chart

This line chart displays car sales in India from 2009 to 2019, using a time-scaled x-axis for years and a linear y-axis for sales volume. The visualization relies on D3 v5’s `scaleTime`, `scaleLinear`, `line`, and `axisBottom`/`axisLeft` APIs to generate SVG paths and gridlines. Data is loaded as CSV from a GitHub gist, with year values parsed via `d3.timeParse`. Styling uses CSS for axis labels, tick colors, and a prominent red line stroke, with margins positioning the chart within a 960x500 SVG canvas.

Ssaiteja0725

Fork of Fork of Fork of ICE 7 Line Chart

A line chart shows annual sales of cars in India from 2009 to 2019, with a single line tracking sales volume over time. The visualization uses d3.scaleTime and d3.scaleLinear to map year and sales values, while d3.axisBottom and d3.axisLeft generate gridlines and tick labels. The line is drawn with d3.line and rendered as an SVG path, with data loaded from a CSV via d3.csv. Axis labels and tick styling are applied through external CSS classes.

PPujitha14challagulla

Fork of ICE 7 Line Chart

This line chart shows car sales in India from 2009 to 2019, with a red line tracking annual sales values against a time-based x-axis. The D3 v5 code uses `scaleTime` and `scaleLinear` to map the data, `axisBottom` and `axisLeft` for labeled axes with grid lines, and `line` to generate the path. Data is loaded from a CSV file hosted on GitHub, and the SVG rendering is styled via an external CSS file that sets the dark background, red accents, and thick stroke for the line.

Bbindhureddy98