julienrbd

@julienrbd·3 public vizzes

Fork of Line Chart - Test données - Ju'

This visualization shows the number of music releases per year grouped by music genre. It renders a single line chart with a red stroke representing these counts over time, using an SVG canvas of 960x500 pixels. The chart is generated with D3 v5, using functions like `scaleTime`, `scaleLinear`, `axisLeft`, and `axisBottom` to construct the axes, and `line` to create the path. Data from a local `data.json` file is processed in JavaScript to aggregate release dates by genre before being passed to the rendering function.

Dec 2, 2022

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Fork of Fork of Line Chart - Test données - Ju backup

This chart tracks the popularity of an artist's albums over time, using a red line to show the rising and falling number of Deezer fans for each release. The data is pulled from a JSON file, which is sorted and aggregated by genre and release year. Built with D3 v5, the visualization uses time and linear scales to map dates and fan counts, with axis labels and tick marks rendered via `axisBottom` and `axisLeft`. The line is generated using `d3.line` and appended to an SVG canvas.

Dec 2, 2022

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Fork of Line Chart - Test données - Ju'

This line chart shows the number of music releases per genre over time, derived from a JSON dataset of albums and artists. The x-axis displays the release date while the y-axis counts the total releases for each genre. The code processes the data by grouping entries by genre and date, then uses `d3.scaleTime`, `d3.scaleLinear`, `d3.axisBottom`, `d3.axisLeft`, and `d3.line` to render the SVG path. The chart is rendered with D3 v5, with axes and labels styled via CSS.

Dec 2, 2022