iNat Visualizer

100%

iNat Visualizer

✓ Published1🌍 Public

Last edited Aug 26, 2020

Created on Aug 26, 2020

This visualization provides a mobile-friendly interface for exploring iNaturalist observation data, offering separate tabs for viewing records by time, space, and species. Users load a CSV file through a file input, which is parsed using D3’s `d3.csvParse` to convert each row into structured data containing coordinates, dates, and user information. The app’s navigation relies on Onsen UI’s `ons-navigator`, `ons-tabbar`, and `ons-tab` components, while the overall layout is built with a combination of HTML templates and jQuery for event handling.

AI-generated description

A bare minimum HTML page.

Similar vizzes

Loading thumbnail…

Untitled

This example presents a mobile-style user interface for an iNaturalist data visualizer, built with the Onsen UI framework and jQuery. The interface includes a navigator with a tab bar offering five sections: Home, Time, Space, Species, and Settings. Each tab is a separate page template, with the Home page containing a file input for uploading CSV data. The JavaScript handles page initialization events and logs tab clicks through jQuery’s `$(document).ready` and `click` handlers, though the actual data visualization logic is not yet implemented.

Aarun-subba

80% match

Loading thumbnail…

CSV to JSON

This example demonstrates a hierarchical visualization of iNaturalist butterfly observation data, converting a CSV file into a nested JSON-like structure. The code loads the data using `d3.csv` and transforms each row into objects containing fields such as location coordinates, dates, and taxonomic classifications from kingdom down to species. The visualization displays this hierarchical taxonomic data using a tree layout, with nodes rendered as circles and connecting links as paths. The implementation relies on D3 v5’s selection and data-joining methods to bind the processed data to SVG elements.

Aatree-rohit

65% match

Loading thumbnail…

310712009

This interactive scatter plot of the Iris Dataset lets users explore relationships between measurements by selecting axes from dropdown menus. Built with React and D3 v5, it renders SVG circles with opacity, using `d3.scalePoint` for positioning and `d3.axisBottom`/`d3.axisLeft` for labeled ticks. The data is loaded via `d3.csv` from a remote gist, with axis labels dynamically updated based on menu selections.

JJoshuoYang

63% match

Loading thumbnail…

Scatter Plot with Menus

This interactive scatter plot visualizes the Iris dataset, allowing users to explore relationships between four numeric attributes and species through two dropdown menus. Built with React and D3 v5, the visualization renders SVG circles colored teal, with axes that dynamically update based on selected measurements. The `csv` loader fetches data from a remote URL, while `scaleLinear`, `extent`, and `format` handle scaling and tick labeling. The component-based architecture separates axis rendering, dropdown controls, and mark generation for modular interaction.

Ppnlinyz

62% match

Loading thumbnail…

Work on Data

This interactive scatter plot explores the Iris flower dataset, letting users select which quantitative measurements appear on the X and Y axes via dropdown menus. The visualization adapts to arbitrary tabular CSV data by programmatically detecting whether each column contains numeric or categorical values. The React-based app builds SVG axes with `d3.scaleLinear` and renders bubbles using `d3.csv` for data loading and custom React components for ticks and marks, with hover tooltips revealing exact values.

Aafcchilders

62% match

Loading thumbnail…

Visualizing Data with React and D3

A React app uses D3's `csv` loader to fetch a named CSS color dataset, displaying each color as a thin horizontal strip whose background matches its RGB hex value. The `useState` and `useEffect` hooks manage asynchronous data loading, showing a "Loading..." placeholder until the CSV arrives. The visualization renders as plain SVG-styled divs, relying on D3 v6 and React 16.9, with no interactive or animated behavior.

JJing-MS

62% match

Loading thumbnail…

dv2020-ep32-viz33 - scatter plot w/ menus

This interactive scatter plot displays the Iris Dataset, allowing users to explore relationships between four measured attributes. The visualization uses dropdown menus to select which attributes are plotted on the x and y axes, with the chart updating dynamically. Built with React and D3 v5, the SVG rendering uses `scaleLinear` for axes and circle marks with tooltips. The data is loaded from a CSV file, and the menus are implemented using the `react-dropdown` library.

Zzach b.

61% match

Loading thumbnail…

Untitled

A temporal scatterplot displays circles representing entries from a CSV file, each positioned along a time axis based on parsed dates. A draggable slider with a play button animates through the timeline, revealing circles that grow in size upon entry. The visualization uses D3 v4 with SVG rendering, leveraging d3.scaleTime, d3.drag, and d3.csv to handle date parsing, slider interaction, and data loading within a React framework.

NNathanGBIM

61% match