Likes

Gist fdfdd728007f46922fdc

This example demonstrates how to read and write text and CSV files in Ruby, using the CSV library. It reads names from a text file into an array, prints the array, and then appends the word "likes" to each name before saving the result to another text file. The code also writes the original names to a CSV file. This is a file-processing utility rather than a data visualization, focusing on data manipulation and storage.

AAndrelton

62% match

Sample problems: objects and arrays

This example presents five JavaScript practice problems focused on manipulating objects and arrays, with output intended for the browser’s developer console rather than SVG or other visual rendering. The code demonstrates basic data operations such as merging object properties by matching names, finding common elements between arrays using nested loops and the `includes` method, sorting an array of state objects by population, and using a loop with the modulus operator to filter numbers. It relies on vanilla JavaScript for most tasks and uses the D3 v4 library’s `d3.range` function to generate a sequence of integers from 1 to 10.

56% match

Gist 7d6a7404e99051bb7d2f36c61f0113ae

This example demonstrates functional programming techniques in JavaScript, including currying, composition, and generator functions. It shows how currying enables partial application, as seen with the `sum` function and reusable helpers like `getName` and `mapUserNames`. The code uses `compose` with `reduceRight` to chain array transformations, filtering user names by length. It also illustrates generator behavior with `next(true)` to control iteration completion. The data is a hardcoded array of user objects, and output is logged to the console via `console.log`.

IIliaIdakiev

Fork of HTML Starter

This example visualizes social media post data from a CSV file, plotting points by date and number of comments, with color encoding by network and size by likes. A second chart is defined to show average likes over time colored by sentiment, though it is not rendered. The visualization uses Vega-Lite's JavaScript API and D3 for data loading, with the VEGA and VEGA-LITE libraries registered for rendering to SVG. The chart includes tooltips and custom axis styling for improved readability.

SSebastian Rojas

Sample problems 2: objects and arrays

This example presents four JavaScript practice problems that operate on arrays and objects, demonstrating data filtering, comparison, and sorting without any visual rendering. The code uses plain JavaScript methods such as `forEach`, `includes`, and `sort` to manipulate datasets like state objects with names, locations, and populations, and arrays of characters and numbers. It logs results to the browser’s developer console, including filtering states by location substrings, finding items unique to one array, sorting states alphabetically, and identifying even population values. The visualization relies entirely on the console output rather than D3 or SVG, though it is built within a D3 v4 environment.

Sample problems: objects and arrays

This example presents five JavaScript practice problems embedded in an HTML page, focusing on array and object manipulation rather than visual output. The exercises involve merging state names with their two-letter IDs, finding common elements between arrays, sorting state objects by population, and using the modulus operator to filter numbers. Built with D3 v4, the code uses `d3.range` to generate a sequence of integers, though all results are meant to be viewed in the browser’s developer console, as no SVG or graphical rendering is included.

Sample problems: objects and arrays

Sample problems: objects and arrays

This example presents five JavaScript practice problems that manipulate arrays and objects, with output visible only in the developer console. The problems demonstrate tasks such as merging object properties between arrays, finding common items, sorting objects by a numeric property, and filtering numbers using the modulus operator. The code uses D3 v4’s `d3.range` to generate an array of integers, while array methods like `forEach` and `sort` handle the core logic. No SVG or visual rendering is involved, as the focus is purely on algorithmic thinking with plain data structures.