Gist d6a23c33db14aba44cb192c90ce81142

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Gist d6a23c33db14aba44cb192c90ce81142

✓ Published0🌍 Public

Last edited Jan 29, 2020

Created on Jan 29, 2020

This example demonstrates a data-visualization pattern for displaying trail information retrieved from an API, using Ruby to structure the data before rendering. It shows a collection of three trails, each with a name, length, and summary, formatted as a list of hashes. The code explicitly constructs dummy trail data, representing what would be fetched from an external service, and organizes it into an array for further processing. While no specific visualization library is used in the provided snippet, the structure suggests a preparation step for a charting tool such as D3.js or a mapping library that would consume the trail metadata. The rendering approach is not shown, only the data assembly phase.

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Gist 78d64cef1c7947a01ba11260ea70f213

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Gist 7e49fbcdf09b9db1d220cd51c4d7ecd3

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Gist 3479d944f561ed81b080d524d9c0a80b

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Gist 9de1e73d1f5e2e590de70ca609b77b5d

This example shows a CLI data-scraping application that compiles hiking trail information into a structured collection, using the HikingProject API to populate trail attributes like name, length, and features. The code demonstrates the Factory Pattern, where a `create_from_collection` method mass-instantiates trail objects from an array of hashes, while `add_trail_details` enriches individual trails with additional detail data. The implementation relies on Ruby’s metaprogramming via `send` to dynamically assign attributes, and stores all instances in a class-level `@@all` array for easy access. Though no visualization library is used, the pattern is typical for preparing data for later graphical display.

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Gist 6f679efa6a447a82a5721cd0499b832c

This example demonstrates a Ruby scraper that fetches hiking trail data from the Hiking Project API using the `Net::HTTP` and `JSON` libraries, parsing the JSON response to extract trail information. The code constructs a URL with specific latitude, longitude, and API key parameters, then converts the HTTP response into a structured Ruby hash via `JSON.parse`. Although the `scrape_trail_detail` method is defined, it remains empty, indicating that the visualization focuses on the initial API request and data retrieval rather than detailed trail scraping. The example shows how raw JSON data becomes accessible for further processing, highlighting the API integration pattern without displaying any graphical output.

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Gist c5fc191ad8f9d03e7de1b779aca099d2

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Gist da1dc31d6c595b04c7e7b351290d7266

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