Line Chart - Lignes ok

100%

Line Chart - Lignes ok

✓ Published2🌍 Public

Last edited Dec 3, 2022

Created on Dec 3, 2022

This line chart displays the number of songs per music genre over time, with separate colored lines for Country, Pop, and Metal. The visualization uses d3.nest to group data by genre and d3.line to generate paths, with d3.scaleTime and d3.scaleLinear mapping dates and counts to SVG coordinates. It loads data from a JSON file via d3.json, which is sorted chronologically before rendering. Axes and labels are created using d3.axisBottom and d3.axisLeft, with a categorical color scale distinguishing genres.

AI-generated description

MIT Licensed

Similar vizzes

Loading thumbnail…

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.

EElodie31190

89% 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

88% 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

87% match

Loading thumbnail…

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.

EElodie31190

87% match

Loading thumbnail…

Line Chart - New Données

This example shows how the number of musical releases varies over time for different genres, using a multi-series line chart generated from album data. The visualization aggregates album counts by genre and release year, displaying the trends for genres like Country, Pop, and Metal. The chart is built with D3 v5, using `d3.json` to load the data, `d3.nest()` to group albums by genre, and `d3.scaleTime` and `d3.scaleLinear` for the axes. Each genre is represented by a colored line, with data points connected via `d3.line()`, and the SVG rendering includes labeled axes and a title.

EElodie31190

86% match

Loading thumbnail…

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.

EElodie31190

85% 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

83% 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

83% match