100%

Exploring own RDW data - Basic chart

✓ Published0🌍 Public

Last edited Nov 11, 2020

Created on Nov 10, 2020

Forked from Exploring RDW data - Basic chart

This example visualizes the start dates of Dutch parking regulations from a local dataSelection.json file. The bar chart uses an SVG rendering with D3 v6, where each bar represents a usage type like "Garageparkeren" or "Betaald Parkeren". The code uses `d3.scaleBand` and `d3.scaleLinear` for the axes, with `d3.axisBottom` and `d3.axisLeft` for ticks. The visualization demonstrates basic data exploration, showing how D3's `d3.json` loads local data and `d3.select` targets the SVG element for drawing.

AI-generated description

Example of how to work with the RDW data

MIT Licensed

Similar vizzes

Loading thumbnail…

Exploring RDW data - Basic chart

This visualization uses D3 v6 to explore a selection of RDW parking data from the Dutch national parking registry. It displays a horizontal bar chart showing the capacity of various Park & Ride, carpool, and paid street parking locations, with bars colored Darkmagenta via `d3.scaleBand` for the x-axis and `d3.scaleLinear` for the y-axis. The example loads data either from a local JSON file or a remote API proxy, and renders the chart as SVG using D3 selections and margin conventions.

SSergio Eijben

91% match

Loading thumbnail…

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

89% match

Loading thumbnail…

Exploring RDW data - Basic chart

This example visualizes parking facility capacities from the Dutch RDW dataset, focusing on the first ten facilities and their associated usage types. It renders a static bar chart using SVG, where each bar represents a facility, and the bar height corresponds to its capacity. Facilities with missing capacity data appear as zero-height bars. The visualization is built with D3 v6, employs `d3.scaleBand` and `d3.scaleLinear` for the axes, and uses `d3.axisBottom` and `d3.axisLeft` to draw the chart's axes. The code includes a data preparation pipeline that selects a subset of the remote data, transforms it, and handles missing values, with a toggle for loading local test data.

NNathan Neelis

87% match

Loading thumbnail…

Exploring RDW data - Basic chart with filtering

This example visualizes Dutch parking facility data from the RDW, displaying each location’s capacity as a bar chart. A checkbox filters out entries with unknown capacity, dynamically updating the axes and bars. The visualization loads local JSON via `d3.json` (through a helper `getData`), uses `d3.scaleBand` and `d3.scaleLinear` for scaling, and renders SVG rectangles with D3 v6 selection and data-join methods. Interactive filtering triggers `filterUnknown`, which updates domains and redraws bars with enter, update, and exit patterns.

NNino Schelcher

86% match

Loading thumbnail…

Exploring RDW data - Basic chart with filtering

This example visualizes parking facility capacities from Dutch RDW open data, displaying each location as a bar on a Cartesian chart. A checkbox filters out facilities with unknown capacity, re-scaling the axes and updating the bar positions dynamically. The chart handles the data’s dirty state, where `null` capacities are excluded upon filtering, and it redraws the x-axis tick labels with a rotation for readability. The implementation uses D3 v6 with `d3.scaleBand`, `d3.scaleLinear`, and `d3.axisBottom`/`d3.axisLeft` to build the SVG, while local JSON test data or a proxied remote API serves as the data source.

NNathan Neelis

86% match

Loading thumbnail…

Exploring RDW data - Basic chart

This example visualizes parking facility capacities from RDW data, showing a bar chart of locations with their available parking spots. The chart uses a bar for each facility, with the y-axis representing capacity and the x-axis showing location descriptions. It demonstrates a workflow for handling potentially messy data, including a data preparation step that extracts relevant fields. The visualization is built with D3 v6, using `d3.scaleBand` and `d3.scaleLinear` for scales, and renders bars as SVG rectangles. Local test data is used by default, with an option to fetch live data from the RDW API.

LLaurens

86% match

Loading thumbnail…

Exploring RDW data - Basic chart with filtering

This example displays a bar chart of parking facility capacities from Dutch RDW open data, with a checkbox filter that hides facilities with unknown capacity values. The visualization uses D3 v6 to render SVG bars, with a band scale for parking facility descriptions on the x-axis and a linear scale for capacity on the y-axis. Data loads from local test data (dataSelection.json) or a remote API via a CORS proxy. The interactive filter updates the chart by re-binding data, adjusting scales, and redrawing bars and axes using D3 selection methods. The chart uses rotated axis labels and a fixed height and width of 960 by 500 pixels.

Ssreen020

86% match

Loading thumbnail…

Exploring RDW data - Basic chart

This example visualizes parking facility capacities from RDW data, highlighting entries with missing capacity values. It first loads local test data or fetches remote data via a CORS proxy, then transforms and filters the dataset. The visualization uses d3.scaleBand and d3.scaleLinear to map descriptions and capacities, drawing bars with d3.select and appending rect elements. Axes are created with d3.axisBottom and d3.axisLeft. The code includes intermediate exploration steps like inspecting unique values, demonstrating a typical data-cleaning workflow before rendering the final SVG chart.

VVictor Boucher

86% match