Sample problems 3: objects and arrays

Sample problems 3: objects and arrays

This example presents four JavaScript practice problems focused on objects and arrays, using a small dataset of U.S. states with their populations. It shows how to compute the average population both with and without D3’s `d3.mean()` method, demonstrating iterative techniques like `forEach` and `while` loops. The code relies on D3 v4 for the `d3.mean()` call, while the rest uses vanilla JavaScript. No SVG or visual output is generated; instead, results are printed to the browser’s developer console, making the example a code-based exercise rather than a graphical visualization.

Sample problems 3: objects and arrays

This example presents four JavaScript practice problems centered on manipulating arrays of objects, specifically U.S. state data with name, ID, and population fields. The page instructs users to solve the problems in the browser console, as no SVG or visual output is generated. The first problem demonstrates using `d3.mean()` with an accessor function to calculate the average population, while subsequent problems require computing the same statistic manually without D3’s helper. The code relies on the D3 v4 library for the mean calculation and includes sample data hardcoded in the script.

LLaurynKW

Sample problems 3: objects and arrays

This example presents four JavaScript practice problems embedded in an HTML page, focusing on array and object manipulation with population data for four U.S. states. The first problem uses `d3.mean()` to calculate and log the average population, demonstrating D3 v4’s array statistics method. The second problem attempts the same calculation manually with a `while` loop, but contains an intentional infinite loop and redundant addition. No SVG or visual output is rendered; results appear only in the browser’s developer console. The code relies on the D3 v4 library’s `mean()` function and standard JavaScript array traversal.

Sample problems 3: objects and arrays

This example presents four JavaScript practice problems centered on arrays of objects, specifically U.S. state data with names, abbreviations, and populations. The visualization itself is minimal—a static HTML page with a heading and instructions—while the actual work happens in the console. The first problem demonstrates using `d3.mean()` with an accessor function to calculate the average population, while the second manually iterates through the array with `forEach` to sum populations and compute the mean. The code relies on the D3 v4 library and includes no SVG manipulation, focusing purely on data processing and console output.

HHeywhoyou22

Sample problems 3: objects and arrays

This example presents four JavaScript practice problems for manipulating arrays of objects, specifically a list of U.S. states with their names, IDs, and populations. The code demonstrates calculating the mean population using both D3’s `d3.mean()` aggregate function and manual iteration with `forEach` and a `while` loop. The visualization itself renders no graphics; instead, it instructs users to open the developer console to view computed results. The page uses D3 v4 and is forked from a series of related blocks by scresawn.

LLaurynKW

Sample problems 3: objects and arrays

This example presents two JavaScript practice problems for computing the mean population of a small array of U.S. states. The code uses D3 v4’s `d3.mean()` for the first solution, then demonstrates two alternative manual approaches—using `forEach` and a `while` loop—to calculate the same average. All results are printed to the browser’s developer console, as the page includes no SVG or visual output. The data is a hardcoded array of state objects containing name, ID, and population values.

LLaurynKW

93% match

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.

89% match

Sample problems: objects and arrays