Line Chart - Test avec new données

Line Chart - Test lignes

This line chart displays the number of music tracks per genre across release years, using a single red line to connect data points from a small JSON dataset. The visualization loads its data from `data2.json` and renders an SVG with D3 v5, using `scaleTime` for the x-axis and `scaleLinear` for the y-axis. The code generates gridlines with axis ticks, labels the axes "Date" and "Nombre de Musique", and titles the graph "Test". The line path is drawn using `d3.line`, with data points representing genres like Country and Pop at various dates.

88% match

Line Chart - Test données - Elo

A line chart visualizes the evolution of music album counts per genre over time, aggregated from album data including release dates and genre fields. The visualization maps dates on the x-axis and the number of albums on the y-axis, with a red line connecting data points. Built with D3 v5, the code uses `scaleTime`, `scaleLinear`, `axisBottom`, `axisLeft`, and `line` to generate an SVG chart. The data is loaded from a JSON file and processed to count albums by genre and year, though the chart currently displays only the resulting aggregated series.

87% match

Line Chart - Amélioration test

This line chart visualizes the evolution of the number of music releases per year, with lines colored by music genre. The data is sourced from `album.json` and processed by grouping entries by genre and year. The D3 v5 library is used to create the SVG rendering, with `scaleTime` and `scaleLinear` for the axes, `nest()` for grouping, and `line()` to draw the paths. The chart updates dynamically after the JSON data is loaded and sorted.

Line Chart - Test données - Ju'

This line chart visualizes the number of music releases per year, aggregated by genre from a JSON dataset. It uses D3 v5 to parse the data, dynamically counting releases per year for each genre and rendering a single red line path. The visualization employs `scaleTime` and `scaleLinear` for axes, `axisBottom` and `axisLeft` with gridlines, and `d3.line` to generate the SVG path. Data is loaded via `d3.json` and processed in JavaScript before being drawn.

Line Chart - Test données 3- Elo

This example visualizes the number of musical tracks released over time for different genres using a multi-series line chart. The chart displays three genres—Country, Pop, and Metal—with their respective track counts plotted against release dates. The visualization uses D3.js v5’s scaleTime, scaleLinear, axisBottom, axisLeft, and line generators to render SVG paths and axes. Data is loaded from a JSON file and processed client-side, with date aggregation grouping album releases by year and genre to build the dataset. The final SVG output includes labeled axes, gridlines, and a red line path.

Line Chart - 1 ligne OK

The visualization is a line chart that aggregates music releases by genre over time, showing the count of tracks released per genre across the years. It processes a JSON dataset of albums and tracks, grouping entries by genre and date, then counts the cumulative number of music releases for each genre. The chart uses D3 v5 with SVG rendering, employing `scaleTime`, `scaleLinear`, `axisBottom`, `axisLeft`, and `line` to construct the axes and path. Data is loaded via `d3.json`, filtered for missing genres or dates, and sorted chronologically before rendering.

Line Chart - Test données bis - Elo

This line chart displays the number of music tracks released per year across three musical genres: Country, Pop, and Metal. Each genre is represented by a separate line path rendered as an SVG element. The visualization uses D3 v5 APIs including `scaleTime` and `scaleLinear` for axis scaling, `axisBottom` and `axisLeft` for tick generation, and `d3.line` for path creation. Data is loaded from a JSON file containing aggregated genre and date counts.

85% match