Line Chart - Test données - Ju'

100%

Line Chart - Test données - Ju'

✓ Published3🌍 Public

Last edited Dec 3, 2022

Created on Dec 2, 2022

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.

AI-generated description

MIT Licensed

Similar vizzes

Loading thumbnail…

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.

Jjulienrbd

92% match

Loading thumbnail…

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.

EElodie31190

91% match

Loading thumbnail…

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.

Jjulienrbd

91% match

Loading thumbnail…

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.

EElodie31190

90% match

Loading thumbnail…

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.

EElodie31190

89% match

Loading thumbnail…

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.

EElodie31190

89% match

Loading thumbnail…

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.

EElodie31190

88% match

Loading thumbnail…

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.

EElodie31190

88% match