Project Line Chart

Line Chart - Final

This line chart visualizes the number of music releases per genre over time, using data from `album.json`. The D3.js v5 code groups the data by genre with `d3.nest()` and plots each genre as a separate colored line. It uses `d3.scaleTime()` and `d3.scaleLinear()` for the x and y axes, and `d3.line()` to draw the paths. The chart is rendered as an SVG within a grid layout, with axes labeled and tick marks customized.

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 - 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 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.

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.

85% match

Line Chart - Final Amélioré

The visualization displays the number of music releases per year for various genres, with each genre represented by a distinct colored line. The data is aggregated from an `album.json` source, grouping albums by genre and counting releases annually. The chart is rendered using D3.js (v5) within an SVG container, leveraging `d3.scaleTime`, `d3.scaleLinear`, and `d3.axisLeft` for the axes, while `d3.nest()` groups the data and `d3.line()` draws the polylines. An interactive tooltip highlights the genre on hover.

85% match

Line Chart - Amélioration

The visualization displays album release counts over time, filtered by music genre through an interactive dropdown menu. It uses a line chart to plot the number of tracks per album against release dates, with each genre represented by a distinct colored line. The chart is built with D3.js, utilizing `scaleTime` and `scaleLinear` for axes, `d3.nest()` for data grouping, and `d3.scaleOrdinal` with `schemeSet2` for color mapping. Data comes from `album.json`, with the chart updating via a button-triggered `transition()` animation.

84% match

Test Line Chart

This example shows how the number of music releases changes over time, grouped by genre, using a simple line chart. The visualization aggregates the provided JSON data by counting records for each genre and year, then plots these counts on a time-based x-axis against a linear y-axis. The chart is rendered as an SVG using D3 v5, with `scaleTime`, `scaleLinear`, and the `line` generator for the path. Axes are created with `axisBottom` and `axisLeft`, and a red stroke highlights the resulting trend line.