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Gabriel

@9Datenshi·13 public vizzes

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Scatter Plot

This scatter plot visualizes the Iris dataset, mapping sepal length on the x-axis and sepal width on the y-axis. Each circle represents a flower sample, with a native SVG `<title>` element providing a tooltip on hover. Built with React and D3 v7, the visualization uses `scaleLinear` and `extent` to compute the scales, while custom `AxisBottom` and `AxisLeft` components render the tick marks and labels. The code loads data via D3’s `csv` function, and styling applies distinct colors to the marks and axis elements.

Apr 29, 2022
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Bar Chart

This bar chart displays the top 10 countries by population for 2020, using horizontal bars ranked from largest to smallest. The visualization is built with React and rendered as SVG, leveraging D3 v7’s `scaleBand` for the categorical y-axis and `scaleLinear` for the numeric x-axis. Population values are loaded via `d3.csv` from a UN dataset and formatted with SI notation, converting “G” to “B” for billions. Axes are generated by custom React components, and hover tooltips appear through native SVG `<title>` elements.

Apr 20, 2022
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Scatter Plot with Colors

This scatter plot visualizes the Iris dataset, plotting sepal length against sepal width, with each point colored by species. A color legend allows users to hover over a species to highlight corresponding data points and fade the others, aiding comparison across groups. Built with React and rendered as an SVG, the visualization uses D3 v7 APIs like `d3.csv` for data loading, `d3.scaleLinear` for axes, and `d3.scaleOrdinal` for the categorical color mapping.

Apr 18, 2022
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Scatter plot with menu

This interactive scatter plot displays the Iris dataset, allowing viewers to select which floral measurements appear on the x- and y-axes via two dropdown menus. Built with React and D3 v7, the visualization renders points as SVG circles, with axes generated from d3.scaleLinear and extent functions. The code uses d3.csv for data loading and React's useState hook to manage attribute selections, while Bootstrap styles the menu controls.

Apr 15, 2022
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Menu

A React menu demonstrates a controlled dropdown component for selecting a favorite Straw Hat Pirate from a hardcoded list of ten characters. The `DropDown` component receives `options`, an `id`, a `selectedValue`, and an `onSelectedValueChange` callback, rendering a native `<select>` element. The parent `App` component manages the selected value via `useState`, initializing it to "Jinbe" and logging each change to the console. The example uses React 18's production UMD builds and `ReactDOM.render`, with the selection state updating the dropdown's highlighted option.

Apr 14, 2022
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World Map

This example displays a global landmass map rendered as an SVG, with continent interiors outlined and a graticule grid overlaid. The visualization uses d3.geoNaturalEarth1 projection and d3.geoPath for geographic shapes, while topojson's feature and mesh functions process the world-atlas@2.0.2 GeoJSON data. The map’s sphere and graticules are drawn alongside land features, all styled through CSS to distinguish ocean, terrain, and boundary elements.

Apr 13, 2022
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Line chart

This line chart visualizes weekly temperature readings over time, using a smooth curved path to connect data points from a CSV file. The chart is built with React and D3 v7, employing `scaleTime`, `scaleLinear`, and `line` with `curveNatural` for the smooth curve. Axes are rendered as SVG groups using custom components, with tick labels formatted via `timeFormat`. The visualization is rendered entirely in SVG, displaying time on the x-axis and temperature on the y-axis.

Apr 13, 2022
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Rendering data with React and D3

This example renders a pie chart of CSS color names using React and D3, with each slice filled by the corresponding hexadecimal RGB value from a CSV dataset. The visualization shows the full distribution of named colors, with slices arranged around a center point at a fixed width and height. React manages the component state and asynchronous data loading, while D3’s `pie` and `arc` functions compute the geometry and generate SVG path elements. The SVG output is rendered directly through React’s declarative JSX syntax.

Apr 8, 2022
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Visualizing Data

This example visualizes the full set of named CSS colors from a CSV file, rendering each as a horizontal strip that fills the screen width. The data is loaded asynchronously from a GitHub gist using `d3.csv`, then mapped into React `div` elements with inline `style` attributes applying the color from the `'valores hex RGB'` column. A `pre` element displays a "Loading..." message until the data arrives, after which the strips appear stacked vertically, forming a continuous color spectrum. The implementation combines React 18 for the user interface, D3 v7 for CSV parsing, and plain CSS for layout.

Apr 8, 2022
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Loading Data With React

This example demonstrates how to load data asynchronously in a React application, displaying the size of a CSV file once it has been fetched. The code uses React’s `useState` and `useEffect` hooks to manage state and trigger the data loading process. It leverages the D3 `csv` and `csvFormat` functions to parse the file from a GitHub gist, then computes and renders the file’s size in kilobytes, row count, and column count in a large `<pre>` element. While the data loads, the UI shows a “loading...” message.

Apr 6, 2022
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Loading and Parsing CSV Data

This example demonstrates how to load and parse a remote CSV file, displaying summary statistics about the dataset in large text. It fetches named CSS color data from a GitHub gist using `d3.csv`, then computes and shows the file size in kilobytes, the total number of rows, and the column count. The code uses D3 v7’s `d3.csv` promise API and `d3.csvFormat` to measure the parsed data’s size, appending the results to a `<pre>` element with DOM methods. The visualization is purely textual, highlighting basic data inspection after asynchronous loading.

Apr 6, 2022
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Mouse Tracking

A single circle tracks the mouse cursor in real time across a full-screen SVG canvas. Built with React 18, the app uses the `useState` hook to store cursor coordinates from the `onMouseMove` event on a div catcher, then passes those coordinates to an SVG circle’s `cx` and `cy` attributes for immediate repositioning. The `useCallback` hook memoizes the event handler for efficiency. ReactDOM renders the component into the page’s root element.

Mar 30, 2022
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Hello HTML

This example displays a cheerful, cartoon-like face constructed entirely from SVG shapes, centered on a yellow circle. Built with React and D3 v7, the visualization demonstrates how D3’s `arc` API generates a curved mouth path within a declarative component structure. The face’s features, including its eyes and smile, are positioned via computed coordinates passed to reusable `Eyes` and `Mouth` components inside a container that translates the drawing to the canvas center.

Mar 30, 2022