KIRRAN P L

@Kirran-PLK·14 public vizzes

Fork of Vega-Lite API Template

This example visualizes a bar chart of automotive sector data from the UCI Auto MPG dataset, mapping sectors along the x-axis and a quantitative “impact” measure on the y-axis, with color encoding by topic. The visualization is built using the Vega-Lite API, which registers with Vega and Vega-Lite to render SVG output, while d3.csv loads the remote CSV file. A custom configuration adjusts axis styling and font sizes for readability, and the chart auto-fits to the browser window with an interactive tooltip handler.

Dec 7, 2023

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Fork of Fork of Stylized Bar Chart

This chart displays the top 10 most populous countries for 2020 using horizontal bars, with countries on the y-axis and population counts on the x-axis. The visualization is built with React and D3 v5, using `scaleBand` and `scaleLinear` for positioning and `d3.csv` to load United Nations World Population Prospects 2019 data. Fixed-width SVG rectangles represent each country, while D3's `format` function converts tick labels to abbreviated values like "1.4B". The chart includes styled axes with Poppins font and red bars on a white background.

Dec 7, 2023

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Fork of Stylized Bar Chart

This bar chart displays the top 10 most populous countries using United Nations World Population Prospects 2019 data. The visualization uses React and D3 v5 with SVG rendering, employing `scaleBand` for the categorical y-axis and `scaleLinear` for the population x-axis. The code implements custom `AxisBottom` and `AxisLeft` components, with `Marks` rendering population bars as rectangles. A `format('.2s')` function converts large numbers to abbreviated labels (e.g., "B" for billions), while CSS styling with the Poppins font gives the chart its stylized appearance.

Dec 7, 2023

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UN Population Data with React & D3

This example displays the top 10 most populous countries from a UN Population 2019 dataset as a horizontal bar chart, with axes and tick labels rendered in SVG. The code loads CSV data using the D3 `csv` utility, then scales the country names with `scaleBand` and population values with `scaleLinear`. React manages the component state and rendering, while D3’s axis ticks and layout functions generate the visual elements. The chart updates dynamically after data fetching, showing loading text until the data arrives.

Dec 6, 2023

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Fork of Refactored Bar Chart

This example displays the top 10 most populous countries as horizontal bars, using React for component structure and D3 v5 for scales and data loading. The chart renders as SVG, with `d3.scaleBand` positioning categorical country labels on the y-axis and `d3.scaleLinear` mapping population values to bar widths. Axis components (`AxisBottom`, `AxisLeft`) draw tick marks and labels from the scales, while `Marks` generates each rectangle. Data comes from the United Nations World Population Prospects 2019 CSV, loaded asynchronously with D3’s `csv` function.

Dec 6, 2023

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Rendering data with react and D3

A donut chart renders the CSS named colors dataset, loaded from a GitHub gist as CSV, with each color name represented by a slice colored by its RGB hex value. The React component uses the `useState` and `useEffect` hooks to fetch and store the data asynchronously, then maps it through D3's `pie()` layout and `arc()` generator to produce SVG paths. All slices have equal value, creating a uniform ring, and the chart appears at the center of a 960×500 SVG canvas.

Dec 3, 2023

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Fork of Fork of Vega-Lite API Template

This visualization displays a scatter plot of data from the UCI Auto MPG dataset, plotting intensity against end year and coloring points by pestle, with tooltips showing sector information. Built with the Vega-Lite API, it uses d3’s `csv` function to load remote data, `vl.markCircle` for the marks, and encodes x, y, color, and tooltip channels. The code registers Vega-Lite with a custom config to adjust axis styling and label fonts, and renders the chart as an SVG fitted to the window size.

Dec 3, 2023

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Loading data with react and D3

This example demonstrates how to load external CSV data using D3 utilities within a React application. It fetches a dataset of CSS named colors from a GitHub gist and displays summary statistics about the data, including file size in kilobytes, row count, and column count. The React `useState` and `useEffect` hooks manage the asynchronous data loading, while `d3.csv` and `d3.csvFormat` handle parsing and formatting. The result is rendered as SVG text showing either a loading message or the computed data metrics.

Dec 2, 2023

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Loading data with react and D3

A React component tracks mouse position in state, rendering a D3-selected circle that follows the cursor. The visualization uses `d3.select` to manage an SVG and `selectAll` with a data join to update the circle’s `cx` and `cy` attributes on each `mousemove` event. Initial state is set to the window’s center, and the circle’s radius remains fixed at 50 pixels. The example demonstrates how D3’s selection and join methods integrate with React’s state management to synchronize UI updates.

Dec 2, 2023

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Loading and parsing CSV data

This example demonstrates the basic process of loading a remote CSV file and inspecting its structure. It fetches the data from a GitHub Gist containing CSS named colors and displays three key statistics: the approximate file size in kilobytes, the number of data rows, and the number of columns. The D3.js v7 library’s `d3.csv` method handles the asynchronous network request and parsing, while `d3.csvFormat` is used to estimate the raw data size. The resulting summary is then rendered into a `<pre>` element with large, bold text styling.

Dec 2, 2023

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Mouse Follower

A smiley face drawn in SVG follows the cursor as it moves across the viewport. React manages the circle’s position via the `useState` and `useCallback` hooks, updating `cx` and `cy` attributes on every `onMouseMove` event. The example uses React 16.9 and renders directly into a full-screen SVG element without any data source.

Dec 2, 2023

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Smile 1

A grid of 18 smiley faces, each rendered as a yellow circle with black strokes, eyes, and an arc-based mouth. The faces vary randomly in eye radius due to `Math.random()`, creating subtle differences across the repeated components. Built with React and D3 v7, the visualization uses reusable components like `Face`, `BackgroundCircle`, `Eyes`, and `Mouth`, with the mouth path generated by `d3.arc()`. Each face is drawn into an SVG via a `FaceContainer` that centers a `<g>` element using a transform.

Dec 2, 2023

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Fork of Smile

This example renders a classic smiley face using React and D3. It shows a yellow circle with black stroke as the head, two black eyes, and a mouth drawn as a semicircular arc. The visualization uses React for component structure and SVG rendering, while D3’s `d3.arc()` generates the mouth path based on specified inner and outer radii and angles. All elements are positioned relative to the center of the SVG canvas.

Dec 1, 2023

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Fork of Smile 1

This example renders a classic smiley face as a static SVG graphic using React. The visualization draws a yellow circle with a black outline for the head, along with two small circles for eyes and a half-annulus for the mouth. The code uses React and ReactDOM to create the SVG elements, and it leverages the `d3.arc()` API from D3 to generate the mouth’s path with specified inner and outer radii and angular range. The composition is centered on a 960×500 canvas.

Dec 1, 2023