manojgne

@manojgne·17 public vizzes

ICE8 - Social Network Graph

This social network graph visualizes eight people and their friendships using a force-directed layout. Nodes are coral circles labeled with names, and links represent connections. The code uses `d3.forceSimulation` with `d3.forceLink`, `d3.forceManyBody`, `d3.forceCollide`, and `d3.forceCenter` to position nodes. Dragging is enabled via `d3.drag`, and hovering highlights a node by changing its stroke color. Data comes from `data.json`, and the SVG rendering is built with D3 v6.

Jul 10, 2022

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ICE8 | Visualizing tree and Networks

A hierarchical tree visualization displays the United States with its states and counties as linked nodes. The D3 v2 layout computes node positions, with SVG circles colored by hierarchy level and text labels for names. Hovering over a node triggers a tooltip showing its metadata, implemented through mouse events and a styled div. The code uses d3.layout.tree, d3.svg.diagonal, and d3.select for rendering.

Jul 10, 2022

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ICE 8 country map

This interactive SVG map visualizes the country of India using a Mercator projection, with each region colored according to a categorical color scale. Built with React and D3 v5, the map loads TopoJSON geographic data from a GitHub Gist and renders paths via `d3.geoPath` and `d3.geoMercator`. The code assigns fill colors using `d3.scaleOrdinal` with the `schemeCategory10` palette, and region names appear as tooltips through appended `title` elements. The styling applies a coral fill with black strokes via CSS.

Jul 10, 2022

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ICE-8 | World Map

This example displays a world map using a natural Earth projection, with each country rendered as a coral-colored SVG path with black strokes. It fetches geographic data from the world-atlas TopoJSON dataset and converts it to GeoJSON using topojson’s `feature` method. The visualization applies `d3.geoNaturalEarth1` for projection and `d3.geoPath` to generate the path data, appending the resulting shapes to an SVG container.

Jul 9, 2022

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Untitled

This example presents a 3D scatter plot of car specifications, visualizing horsepower, mileage, and price for different brands. Each car is represented as a colored marker, with color encoding brand identity: Honda appears cyan, Mercedez green, and Ferrari red. The visualization is built with Plotly.js, specifically using the `Plotly.newPlot` API to render a `scatter3d` trace. Data is loaded via D3.js (`d3.csv`) from a cars dataset, with marker colors assigned by iterating through the brand column and pushing corresponding color values into an array.

Jul 6, 2022

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3D Bar Chart using D3.js

This example visualizes laptop sales data as a 3D bar chart, with each manufacturer’s monthly sales figures (Jan–Jun) rendered as vertical bars. The chart uses the D3.js library along with the d3-3d and d3-x3d plugins, which generate an interactive X3D scene displayed in the browser via the x3dom library. Data is loaded asynchronously from a CSV file using `d3.csv`, and the bar chart is created through the `d3.x3d.chart.barChartMultiSeries()` component. The visualization is embedded in an HTML page within a React framework context.

Jul 6, 2022

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Twitter - Area Chart ICE-7

This visualization displays Twitter share prices over the past week using a smooth area chart. The chart plots timestamps on the x-axis and share price on the y-axis, with axis labels and a title. Created with React and D3 v5, the code uses `d3.select`, `d3.csv`, `d3.scaleTime`, `d3.scaleLinear`, `d3.axisBottom`, `d3.axisLeft`, and the `d3.area` generator with `curveBasis` to render the filled curve as an SVG path. Data is loaded from a GitHub gist CSV file.

Jul 3, 2022

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Twitter - Line Chart ICE-7

This line chart displays Twitter stock prices over the last week, plotting timestamps on the x-axis and share values on the y-axis. The visualization uses D3 v5 with React, rendering to an SVG via the `line` generator with `curveBasis` smoothing. Axes are constructed using `scaleTime`, `scaleLinear`, `axisBottom`, and `axisLeft`, with grid lines and labels styled via CSS. Data is loaded from a CSV file hosted on GitHub, parsed with `csv`, and converted to numeric and date formats before rendering.

Jul 2, 2022

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ICE-7 Pie Chart

This example displays a pie chart of COVID-19 active cases by country, rendering each segment with a distinct color and labeling its percentage share. The chart includes a legend that maps colors to country names and active case counts. Built with React and D3 v5, the visualization uses d3.pie, d3.arc, and d3.scaleOrdinal to generate SVG paths and text labels. Data is loaded asynchronously from a CSV file using d3.csv, with the chart centered in an 800x450 SVG canvas.

Jul 2, 2022

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ICE-7 Reusable Scatterplot

This reusable scatter plot, built with D3.js, visualizes the cars dataset, plotting Mileage on the x-axis and Price on the y-axis, with each point colored by car brand (Honda, Mercedez, Ferrari). The chart includes labeled axes, a legend, and a title, all rendered as SVG. The visualization animates by cycling through the dataset's numeric columns (disp, Mileage, hp, Price) as the x-value every two seconds, demonstrating the chart's reusability through a configurable `scatterPlot` function that leverages D3's `scaleLinear`, `extent`, `axisLeft`, and `axisBottom` APIs.

Jul 2, 2022

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Fork of ICE-7 Reusable Scatterplot

This interactive scatterplot visualizes a car dataset, plotting various numerical attributes like mileage, price, horsepower, and displacement against each other in an animated loop. The visualization includes a legend with colored markers for car brands (Honda, Mercedes, Ferrari) and dynamically updates the x-axis every two seconds to cycle through data attributes. Built with D3.js, the code uses `scaleLinear`, `extent`, `axisLeft`, and `axisBottom` for chart construction, and `setInterval` for animation. The data is loaded via `csv()` from a remote CSV file, with SVG rendering handling all graphical elements.

Jul 2, 2022

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ICE-6 | Scatter Plot Graph

This scatter plot visualizes the Iris dataset, showing the relationship between petal length and petal width, with points colored by species (versicolor in green, setosa in orange, and virginica in red). The chart uses D3 v6 to load CSV data, apply linear scales for the axes, and render SVG circles with the `selectAll().data().join()` pattern. Axes are generated using `axisLeft` and `axisBottom`, with custom labels, while the code also parses additional features like sepal dimensions for each flower.

Jun 25, 2022

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Data Visualization - ICE-6 - Bar chart

This bar chart displays COVID-19 active case counts for different countries, with values shown in thousands. The visualization uses React hooks to load and manage CSV data from a GitHub gist, while D3 v5 APIs handle the rendering. It employs `scaleBand` for the categorical y-axis representing countries and `scaleLinear` for the numeric x-axis showing case counts. The SVG output includes red rectangular bars and custom axes, with gridlines and tick labels formatted using D3’s axis utilities.

Jun 25, 2022

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Fork of Loading CSV data through D3

This example renders a smiley-face SVG inside a React application using D3 v7 to load and summarize COVID-19 case data from a CSV file. The page displays the smiley graphic, a bar chart description, and a summary of the dataset’s size and structure, which is fetched via `d3.csv` and formatted with `d3.csvFormat`. The visualization combines React components for the SVG and D3 for asynchronous data handling, with the data source linked externally.

Jun 22, 2022

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Fork of Religions of Largest 20 Countries

This stacked bar chart visualizes the estimated 2010 religious breakdown of the world’s 20 most populous countries, using data from the Pew Research Center. Each bar shows the total population segmented by religion, with hover tooltips revealing exact figures per country and religion. Users can also hover over the color legend to highlight specific religions, dimming other segments via a semi-transparent overlay. The visualization is built with D3.js version 3, employing `d3.layout.stack`, ordinal and linear scales, `d3.svg.axis`, and the d3-legend and d3-tip libraries for interactive styling and tooltips.

Jun 21, 2022

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Fork of Religions of Largest 20 Countries

This stacked bar chart displays the estimated 2010 religious composition of the world’s 20 most populous countries, using data from Pew Research. Hovering over a bar reveals a tooltip with the exact population per religion, while hovering over the legend highlights that religion’s segments across all bars. Built with D3.js (v3), the visualization uses `d3.layout.stack` to compute the stacked layers, `d3.svg.axis` for scales, and the d3-legend and d3-tip plugins for the legend and interactive tooltips. The SVG rendering is animated on load, with bars built in reverse order to create a subtle layered appearance.

Jun 21, 2022

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Fork of Let's make a face with D3.js!

A fork of an earlier D3.js face-building exercise, this piece renders a static SVG cartoon face and then animates its eyebrows in a looping up-and-down motion. The face is constructed from basic geometric primitives like circles, rectangles, and an arc-based mouth, with features centered and positioned using transforms. The animation relies on chained `transition().duration()` calls to move the eyebrow group, while the overall drawing is handled with D3 selections and the `arc` generator from the d3-shape module. All elements are rendered in an SVG container.

Jun 18, 2022