Skip to main content
100%

My assessement for underbar part 2

✓ Published0🌍 Public
Aaajungroth
Last edited May 2, 2017
Created on May 2, 2017

This example demonstrates the transformation of a sales team dataset, showing how names are capitalized and sales figures are averaged and compared. The code uses vanilla JavaScript array methods like `forEach` and `reduce`, along with `JSON.stringify` for assertions, to process the data. It calculates the average team sales rounded up and identifies the highest earner by parsing currency strings with `parseInt`. The visualization relies on console output for testing results, with no external rendering libraries.

AI-generated description

Similar vizzes

Loading thumbnail…

solution for http://toys.usvsth3m.com/javascript-under-pressure/ - ugly code

This example visualizes the structure of a JavaScript code challenge, using the `flatten` helper and `Object.prototype.toString` to identify nested arrays and numbers. It shows how the code recursively flattens an arbitrary array and sums all integers via `reduce`, while separate functions handle integer doubling, parity checks, file extension extraction, and longest string identification. The visualization likely renders the code’s control flow or function relationships, though the provided snippet does not include any drawing or charting libraries. The data source is the inline JavaScript functions from the gist, with no external rendering API visible.

TTBD
61% match
Loading thumbnail…

Assignment 6

This bar chart shows total sales aggregated by product line, using a simple grouped bar layout where each bar’s height encodes the summed sales value. The chart is built with D3 v7, loading data from a CSV file and using `d3.rollup` to group and sum sales per product category. SVG rectangles are scaled with `d3.scaleBand` and `d3.scaleLinear`, with axes generated via `d3.axisBottom` and `d3.axisLeft`. The title and rotated x-axis labels complete the visualization, rendered entirely in SVG.

BBhargav Reddy
61% match
Loading thumbnail…

average questions

This example presents four JavaScript practice problems embedded in an HTML page, focused on calculating the average population of a small array of U.S. states. It first uses `d3.mean()` with an accessor function, then demonstrates manual computation via a `for` loop, a `forEach` method, and a while loop. The code outputs results to the browser’s developer console rather than rendering any visualization, making it a purely logic-based exercise using D3 v4’s array utilities and core JavaScript iteration patterns.

Aannalabrozzi
61% match
Loading thumbnail…

Assignment 5 DataViz

This example displays a text-based summary of employee salary data, including total employee count, average age, average salary, highest and lowest salaries, and a breakdown of employees per role. It loads a CSV file from a gist using `d3.csv`, parses and cleans the salary strings, and computes summary statistics with `d3.mean`, `d3.max`, `d3.min`, and `d3.rollup`. The results are rendered as HTML inside a styled summary box, alongside a static SVG rectangle graphic.

Bbrodyoneal10@gmail.com
60% match
Loading thumbnail…

js arrays

This example demonstrates JavaScript array manipulation techniques using D3.js. The code explores the `reduce`, `map`, `sort`, and `spread` operators on sample product and cart data, logging results to the console. The visualization portion, which uses `select` and `append` to create SVG circles and rectangles with animation, remains commented out. The active code focuses on computing total prices and grouping products into price categories, showing how array methods can transform and organize data structures.

Ssukumardunn
60% match
Loading thumbnail…

STUDY GUIDE

This example demonstrates common data-manipulation patterns in D3, showing how to calculate averages, search arrays, sort objects, and combine datasets using JavaScript loops and D3 methods like `d3.mean` and `d3.ascending`. It also includes commented code for loading CSV data, building tooltips with HTML tables, and preparing geographic path data for SVG rendering. The visualization is a study guide presented as code snippets in the browser console, using D3 v4 with SVG output, and relies on built-in array methods such as `forEach`, `includes`, and `sort`.

Aannalabrozzi
60% match
Loading thumbnail…

average questions-2

This example presents four JavaScript practice problems embedded in an HTML page, using a small dataset of U.S. states with their populations. The visualization shows no SVG graphics; instead, it prints computed averages to the browser’s developer console. The first problem uses `d3.mean()` from D3 v4 to calculate the mean population, while the second problem computes the same value manually using a `for` loop, a `forEach` method, and a `while` loop as alternative approaches. The code demonstrates basic array iteration and statistical calculation without any visual rendering.

Aannalabrozzi
60% match
Loading thumbnail…

JS Arrays exercise

This example demonstrates the results of JavaScript array operations by logging computed values to the browser console. It uses D3’s `ascending` import and the native `reduce`, `sort`, and `range` methods to generate an array of 40 numbers, sum them, and sort an array of key-value objects by their keys. The page itself renders only a blank screen with oversized text styling, as all output appears in the console via `console.log`. The source code is defined in `index.js` and loaded through a minimal `index.html` shell.

Ppkdvalis
60% match