Skip to main content
SimilarExport ZIP
100%

Scatter plot with Interactive Filtering

✓ Published0🌍 Public
Vveagy
Last edited Oct 2, 2018
Created on Oct 2, 2018

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.

AI-generated description

Kathleen Cachel Data in this scatter plot is from from the Kings College London Air Quality Dataset in the London Datastore. The data is from January 2010 through August 2018.

MIT Licensed

Similar vizzes

Loading thumbnail…

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.

KKCachel
95% match
Loading thumbnail…

Color by Month Example

This example uses an interactive scatter plot to show monthly air quality in London from 2010 to 2018, plotting roadside PM2.5 against PM10 particulates. A color legend allows viewers to click a month to highlight datapoints from that month while dimming others. The visualization, built with D3 v5, uses `scaleOrdinal` with an `interpolateRainbow` color scale, SVG circles for the data points, and a custom `colorLegend` module for clickable filtering. Data comes from the Kings College London Air Quality Dataset via the London Datastore.

CCurran Kelleher
88% match
Loading thumbnail…

Scatter Plot Roadside Pollution over Time

This interactive scatter plot visualizes monthly roadside pollution levels in London from January 2010 through August 2018, sourced from the Kings College London Air Quality Dataset. Each circle represents a monthly average, colored by pollutant type, with a legend that filters data on click. The visualization includes animated transitions using `transition().duration()` and `delay()`, a dropdown menu for selecting variables, and D3 v5 APIs including `scaleTime`, `scaleLinear`, `axisBottom`, and `axisLeft`. The chart renders as an SVG with interactive color legend and axis labels.

KKCachel
88% match
Loading thumbnail…

Scatter Plot Convert to Line plot

This interactive visualization displays monthly air quality measurements for London, plotting PM2.5 and PM10 particulate levels with a scatter plot that morphs into a line chart. The line chart uses d3.line with curveBasis to connect data points, while the color legend and dropdown menus allow filtering by month and selecting different measurement variables. Data comes from King's College London air quality datasets, rendered as SVG with animated transitions that transform the scatter plot points into a continuous line. Users can click legend items to highlight specific months in the multicolored inferno-scaled visualization.

CCurran Kelleher
87% match
Loading thumbnail…

Scatter Plot Convert to Line plot

This interactive visualization displays monthly average air quality measurements for London, comparing PM2.5 and PM10 particulate levels across different months. Users can select different pollutant variables from a dropdown menu, which updates the y-axis and recomputes the line chart using d3.scaleTime and d3.scaleLinear. The scatter plot converts to a line plot, with data points colored by month using d3.scaleOrdinal and the inferno color scheme. A color legend allows filtering by month, highlighting relevant data points. The visualization uses data from the Kings College London Air Quality Dataset via the London Datastore, rendered with d3.v5 SVG and animation transitions.

Aarun-subba
86% match
Loading thumbnail…

Scatter plot with Menus - by Year

This interactive scatter plot displays London’s monthly average air quality readings for PM2.5 and PM10 particulates, with each point colored by year. The visualization uses two dropdown menus implemented via the `dropdownMenu` function to let users switch the x- and y-axis variables among eight roadside and background pollutant metrics. Built with D3 v5, the chart renders SVG circles, uses `scaleLinear` for axes, `scaleOrdinal` with `schemeSpectral` for the year-based color scale, and supports a clickable color legend that highlights data points from a selected year.

KKCachel
85% match
Loading thumbnail…

Scatter Plot Convert to Line plot

This interactive visualization compares monthly air quality measurements for PM2.5 and PM10 particulates from the Kings College London Air Quality Dataset, spanning January 2010 through August 2018. Users select different pollutant variables from dropdown menus, which triggers a smooth transition between scatter plot and line chart representations, using D3’s `transition().duration(1500)` to animate the data points as they morph into a connected line via `d3.line()` with `curveBasis`. A color legend, implemented with `scaleOrdinal` and `interpolateInferno`, lets users filter points by month. The visualization uses SVG rendering with axes from `axisBottom` and `axisLeft`.

KKCachel
85% match
Loading thumbnail…

Fork of London Air

This interactive scatter plot visualizes monthly air quality measurements from the London Datastore (January 2010–August 2018), showing pollutant levels over time. Users can select which pollutant to display on the y-axis via a dropdown menu, while the color legend encodes the month and a second legend distinguishes Roadside versus Background measurement types. Built with D3 v5, the visualization uses `scaleOrdinal`, `scaleTime`, and `scaleLinear` for encoding, with clickable legends, animated transitions, and interactive tooltips. The color legend supports filtering by clicking, and the stroke legend uses `transition.attrTween` for updates.

Aall-over-yet
85% match