Making a Bar Chart - NPR data

Interactive barChart (v11.11.12:00)

This interactive bar chart shows the number of P+R parking places for cities in the Randstad region of the Netherlands, sourced from NPR park-and-ride data loaded via a gist URL. A checkbox toggles between showing individual parking facilities and combined totals per city, which updates the visualization. Built with D3 v6 in SVG, it uses `scaleLinear`, `scaleBand`, `axisLeft`, and `axisBottom` for the axes and bars, with data cleaning and merging handled through custom functions in a transform module.

88% match

clean code with modules (v10.11_17:00)

A bar chart displays the parking capacity of park-and-ride facilities across nine Randstad cities in the Netherlands, sourced from an NPR dataset. Each bar represents a city, labeled with its description, while the y-axis measures capacity. The visualization uses d3.scaleLinear and d3.scaleBand for scales, d3.axisLeft and d3.axisBottom for axes, and SVG rects for bars. Data is cleaned and aggregated through imported transform modules, with setup scales, axes, and drawing separated into a visual module.

GGiovanniD_

87% match

Interactive barChart (v11.11_11:10)

This interactive bar chart displays the number of P+R parking places for each city in the Randstad region of the Netherlands. Users can toggle a checkbox to combine parking capacity data for cities with multiple locations, updating the visualization. The chart uses D3 v6 with SVG rendering, employing `scaleLinear`, `scaleBand`, `axisLeft`, and `axisBottom` to create and update bars. Data is fetched from a GitHub gist and processed through custom transformation functions that clean, filter, and aggregate the raw dataset.

86% match

Interactive barChart (v11.11.13:30)

This interactive bar chart shows the number of P+R parking spaces across cities in the Randstad region of the Netherlands. A checkbox toggles between individual parking locations and combined city totals, with bars animating between states using D3 transitions. The visualization uses d3.scaleBand and d3.scaleLinear for axes, with data fetched from a GitHub-hosted JSON file and processed through custom cleaning and transformation functions. SVG rendering includes animated height transitions for entering, updating, and exiting bars.

Interactive barChart TRYING NEW TRANSITIONS

This interactive bar chart shows the parking capacity of P+R facilities across cities in the Randstad region of the Netherlands. A checkbox aggregates data for cities with multiple parking areas, updating the chart with smooth transitions. Built with D3 v6, the visualization uses `d3.scaleBand` and `d3.scaleLinear` to map city names and capacities, with SVG rectangles animated via `transition()`. Data is fetched from a JSON endpoint and cleaned through custom transformation functions. Axes update dynamically when the filter is toggled, re-rendering bars and tick labels.

Exploring RDW data - Basic chart

This example shows the parking capacity of various Park & Ride, carpool, and paid street parking facilities in the Netherlands, using a bar chart where each bar’s height represents the number of parking spots. The visualization is built with D3 v6 and rendered as SVG, using `d3.scaleBand` and `d3.scaleLinear` to map descriptions and capacities, and `d3.axisBottom`/`d3.axisLeft` for the axes. Data is loaded from a local JSON file via `d3.json`, with an optional remote RDW API path, and bars are appended as SVG rectangles.

SSergio Eijben

Interactive barChart (v11.11.12:00)

This interactive bar chart displays the capacity of park-and-ride parking places across Randstad cities in the Netherlands. Users can toggle a checkbox to aggregate double-named city entries, updating the visualization dynamically. The chart fetches JSON data from a GitHub gist and renders SVG rectangles using d3.scaleBand, d3.scaleLinear, and d3.axisBottom. The code uses d3.select for DOM manipulation and transition-free enter/update/exit selections to handle filtered data changes.

Ssarakouz

Interactive barChart (v11.11_10:00)

This interactive bar chart displays the number of P+R parking spaces in cities across the Randstad region, sourced from a JSON endpoint. Users can toggle a checkbox to aggregate parking capacities for each city, combining data from multiple locations within the same municipality. The visualization is built with D3 v6, using `scaleLinear`, `scaleBand`, `axisLeft`, and `axisBottom` to render and update SVG bars, enter/exit selections, and refresh the axes dynamically.