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Anissa Belkelfa

@anissabelkelfa·18 public vizzes

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UX - CIRCULAR BARPLOT

A circular barplot visualizes the distribution of music genres across an artist's albums, fetched from the Wasabi API. Each genre corresponds to a colored arc, with its radial length proportional to the number of song occurrences. The SVG chart uses D3 v7’s `scaleBand` for angular positioning and `scaleRadial` for bar length, drawing arcs with `d3.arc`. Hovering highlights a bar and displays a tooltip, implemented via D3 selections and event listeners.

Nov 30, 2022
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Untitled

This radial bar chart displays the values of a single numeric variable for each country in a dataset loaded from a CSV file. Each bar extends outward from a central inner radius, with its length proportional to the country’s value, and labels are rotated around the circle for readability. The visualization uses d3.scaleBand for angular positions, d3.scaleRadial for radial distances, and d3.arc to draw the bar segments as SVG paths. The chart is rendered in an SVG container, with margins and dimensions defined in the script.

Nov 30, 2022
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Fork of Fork of Pie Chart Artistes

This donut chart shows the distribution of music genres for a specific artist, displaying each genre’s percentage on hover via a tooltip. The visualization uses `d3.pie` and `d3.arc` to generate the slices, with `d3.scaleOrdinal` and a custom color range for genre encoding. It applies `d3.select` for mouse interaction and fetches additional genre data from the Wasabi API. The chart is rendered as SVG, with labels positioned using `labelArc.centroid`, and data is loaded from a CSV file.

Nov 30, 2022
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Fork of Pie Chart Artistes

A donut chart displays the distribution of music genres by percentage, with each slice labeled and colored distinctly. The visualization uses D3.js to load CSV data and render an SVG, employing `d3.pie` and `d3.arc` for the donut geometry, `d3.scaleOrdinal` with a custom color range, and d3-scale-chromatic for color handling. Hovering over a slice reveals a tooltip showing the precise percentage, calculated with `d3.sum`, while mouse events and CSS transitions manage tooltip visibility.

Nov 30, 2022
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Pie Chart Artistes

A donut chart breaks down music genres by count, with each slice labeled and colored to show the proportion of artists per category. The visualization uses D3’s `pie` and `arc` generators to compute slice geometry and paths, while `scaleOrdinal` maps genre names to a custom color palette from `d3-scale-chromatic`. Hovering over a slice reveals a tooltip with the exact percentage, calculated using `sum` over the CSV data. The code reads from `data.csv` and renders the chart as SVG elements with mouseover and mouseout event handlers.

Nov 30, 2022
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Fork of Fork of circular barplot

A circular barplot displays the genre distribution of David Guetta's songs, fetched from the Wasabi API. Each bar's length encodes song count per genre, with labels rotated around the circle for readability. Built with D3 v7, it uses `d3.scaleBand` for angular positions, `d3.scaleRadial` for radii, and `d3.arc` to render SVG paths. Data is aggregated client-side by iterating over album and song objects before updating the visualization.

Nov 29, 2022
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Fork of genre album anissa

This radial bar chart displays the genre distribution of songs across an artist’s albums, with each genre represented by a colored arc whose length corresponds to song count. The visualization fetches artist data from the Wasabi API, aggregates genres by iterating through album songs, and renders the result using D3 v4’s `d3.scaleBand`, `d3.scaleRadial`, and `d3.arc` APIs. Labels are positioned around the circle with rotated text, and the SVG output is generated within an HTML page.

Nov 29, 2022
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Fork of map with legend

This choropleth map displays Indian states, with each polygon’s fill color mapped to its AREA_ attribute. The color scale uses a sequential interpolator with a rainbow gradient, applied via `d3.scaleSequential` and `d3.interpolateRainbow`. The map is rendered as SVG using React and `react-dom`, with topology loaded from a remote TopoJSON URL. Geographic projection and paths are generated with `geoMercator` and `geoPath`, while the data array is processed through `topojson.feature`.

Nov 29, 2022
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Fork of Fork of Radial Stacked Bar Chart of Personal Electric Usage Data By Year for Account

This radial stacked bar chart visualizes two years of personal electricity consumption across three accounts, with monthly usage stacked by bill year. A menu lets viewers switch between accounts, triggering an update to the chart’s data via a reusable D3 component. The visualization uses d3.arc, d3.scaleRadial, and d3.scaleBand to render wedges, while d3.transition animates changes. Data comes from a CSV file of electric utility readings, and text measurement relies on the BrowserText helper using the Canvas API.

Nov 29, 2022
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Fork of Card D3

This visualization displays a radar chart comparing music artists across five genre axes: hip hop/rap/R&B, electronic/dance, Latin pop, pop, and rock. Each artist is represented by a colored polygon showing their genre affinity values. The chart uses D3 v4 within a React framework, rendering SVG elements with animated transitions between levels. Tooltips appear on hover to show artist names and values.

Nov 29, 2022
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D3: Basic Barchart

This example shows a basic bar chart of 20 numeric values rendered as SVG rectangles, with each bar labeled by its value in white text. The chart uses D3 v5 scales, including a `scaleBand` for the x-axis positioning and a `scaleLinear` for the y-axis height calculation. Data is bound via `selectAll("rect").data()`, with bars and text labels positioned using the scales. The code loads D3 from UNPKG and demonstrates simple SVG generation without axes or interactivity.

Nov 28, 2022
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Fork of Card D3

This example demonstrates a VizHub project structure for integrating D3.js with ES6 modules. It displays the text “Hello VizHub!” in large, centered type using `select` from D3 to update a DOM element. The code imports local ES6 modules, including a `message` export from `myMessage.js`, and also makes a `Request` to an external API endpoint at wasabi.i3s.unice.fr. The example uses D3 v4 loaded via CDN, showcasing how to combine library imports, custom modules, and external data fetching within a single page.

Oct 5, 2022
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dboard

The dashboard displays sales order data from a CSV file across four grid-based plots, using D3 v5 (d3.select, d3.csv) to load and render SVG charts. Each plot is placed in a separate container with a shared margin, and a tooltip is included for interactions. The Vue framework is also integrated, though the code shown relies on D3's data-binding and SVG rendering to visualize the dataset.

Oct 3, 2022
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barGraph

This bar chart visualizes the 2022 population of countries from a CSV dataset. Users can click the "Ascending" or "Descending" buttons to reorder the bars, which transition smoothly over 500 milliseconds. The visualization uses the D3.js library (v5) with scaleBand for the x-axis, scaleLinear for the y-axis, and axisBottom/axisLeft for tick marks. It also overlays a small blue dot (a circle) on each bar representing the same population value, and a tooltip appears on mouseover.

Oct 3, 2022
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MAP

This map visualizes global population estimates for each country using a choropleth color scale, where darker reds indicate higher population values. The geographic outlines are rendered as SVG paths generated from world-atlas TopoJSON data, projected with `d3.geoMercator`. Population figures come from a TSV dataset loaded via `d3.tsv`, and the fill color is computed with `d3.scaleLinear`. The visualization also includes interactive pan and zoom functionality through `d3.zoom`, and hover states change country colors to purple via CSS.

Oct 3, 2022
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barGraph

This bar graph displays the 2022 population for each country from a CSV dataset. When hovering over a bar, a tooltip reveals the country name and its population. The chart uses an SVG canvas and is built with D3.js v5, loading data via `csv()` and rendering axes and bars through `scaleBand`, `scaleLinear`, `axisBottom`, and `axisLeft`. The interface includes two buttons for sorting the bars in ascending or descending order, though the sorting logic is incomplete in the code.

Sep 26, 2022
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td1 part2

This example displays population data from a CSV file, logging each country’s name and 2022 population to the console. It uses D3 v5’s `select` and `csv` methods to load the data and select an SVG element, with the visualization intended to render inside that SVG. The code includes a hover effect on circle elements, defined via CSS, that changes their fill to black.

Sep 19, 2022
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Fork of MIAGE base

This example demonstrates basic D3.js v5 capabilities using SVG rendering. It creates a 960x500 SVG canvas and draws three colored circles—green, pink, and blue—positioned at different horizontal coordinates. The green circle responds to mouse hover by changing its fill color via D3 event handlers, while the pink circle uses CSS hover styling. The visualization imports D3 selection utilities and a local ES6 module that displays a "Hello MIAGE!" message in an HTML div, showcasing modular code organization with d3.select and attribute manipulation.

Sep 19, 2022