Scatter Plot Roadside Pollution over Time

Scatter Plot Pollutant (Menu) over Time

This interactive scatter plot visualizes monthly air quality in London from January 2010 through August 2018, using data from the Kings College London Air Quality Dataset. Users can select different pollutant metrics for the x- and y-axes via dropdown menus, while the color legend encodes months and allows filtering by clicking. The visualization uses D3 v5 with SVG rendering and animated transitions, employing `scaleTime` for the temporal x-axis, `scaleLinear` for pollutant measurements, and `scaleOrdinal` with `interpolateInferno` for the month color scale.

WW9183907

90% match

Scatter plot with Interactive Filtering

This scatter plot displays London monthly air quality measurements from January 2010 through August 2018, sourced from the Kings College London Air Quality Dataset in the London Datastore. It plots Roadside PM2.5 particulate levels on the x-axis against Roadside PM10 levels on the y-axis, with points colored by year using a sequential color scheme. The visualization supports interactive filtering: clicking a year in the color legend dims points from other years and highlights the selected year’s data with a black outline. Built with d3.v5, the example uses `scaleLinear`, `scaleOrdinal`, `schemeRdYlBu`, `axisBottom`, `axisLeft`, and SVG rendering for both the scatter plot and legend.

90% match

London Air

This scatter plot visualizes monthly air quality measurements from the Kings College London Air Quality Dataset, showing pollutant levels over time from January 2010 through August 2018. Users select a pollutant from a dropdown menu to update the y-axis, click color-coded month and type legends to filter data points, and hover over circles to see tooltips with values. The visualization uses d3.scaleTime, d3.scaleLinear, d3.scaleOrdinal with interpolateBuPu for the color palette, and animated transitions triggered by axis updates.

Scatter Plot Pollutant (Menu) over Time

This interactive scatter plot visualizes monthly air quality measurements for London from January 2010 through August 2018, sourced from the Kings College London Air Quality Dataset. Users select which two pollutants to plot against each other using dropdown menus, while the color of each circle encodes the month of the year using a D3 `scaleOrdinal` color scale based on `interpolateInferno`. Clicking a legend item highlights all data points from that month, dimming others. The visualization uses D3 v5, rendering as an SVG with animated transitions of 1500 milliseconds via `transition.duration` and `.delay`, with axis and legend components built using D3’s `axisBottom`, `axisLeft`, and custom `dropdownMenu` and `colorLegend` modules.

London Air Scatter Plot Back vs Road

A scatter plot visualizes London air quality measurements from 2010 to 2018, plotting monthly pollutant levels (such as PM2.5 and ozone) against time. Users can select different pollutants via dropdown menus. The color of each point represents the type of monitoring site (backstreet or roadside), and clicking a legend entry filters the visualization to that category. Tooltips show data details on hover, while axis transitions animate when new variables are selected. The visualization uses D3 v5's `scaleTime`, `scaleLinear`, and `d3.axisBottom`/`axisLeft`, with data loaded from a CSV file and rendered as SVG circles.

Scatter plot with Interactive Filtering

This scatter plot visualizes London’s monthly roadside air quality data from the Kings College London dataset, plotting PM2.5 against PM10 particulate concentrations. A color legend allows interactive filtering by year, dimming non-selected data points and highlighting the chosen year. The visualization is built with D3 v5, using `scaleLinear`, `axisBottom`, and `axisLeft` for the axes, while the custom `colorLegend` module handles the filtering interaction. Data is loaded from a CSV file and rendered as SVG circles.

Vveagy

London Air

This visualization displays monthly air quality measurements in London from January 2010 through August 2018, sourced from the Kings College London Air Quality Dataset. Users can change the pollutant displayed via a dropdown menu, and interact with two legends to filter data by month or by measurement type (Roadside or Background). The scatter plot uses time-series animation to draw the data points, with color encoding for the month and stroke encoding for the location type. The D3.js code (v5) uses `d3.csv`, `d3.scaleOrdinal`, `d3.scaleTime`, `d3.axisBottom`, `d3.axisLeft`, and `d3.transition` to build the interactive SVG visualization.

WW9183907