Multiple Line plot with Dropdown

Multiple Line plot with Dropdown

This visualization shows monthly air quality measurements in London from 2010 to 2018, displaying pollutant levels as a multiple line plot. A dropdown menu lets users select which pollutant to display, from options like PM2.5, PM10, and nitrogen dioxide. Each year is represented by a colored line, with a color legend identifying the annual series. The visualization uses D3 v5 with SVG rendering and animated transitions, loading data from the London Datastore via the `csv` method, and employing `d3.nest` for data grouping.

DDenise Mauldin

Multiple Line plot with Dropdown

This interactive visualization displays monthly air quality levels for PM2.5 and PM10 particulates in London from 2010 to 2018, with each year represented by a colored line. A dropdown menu allows users to switch between different pollutant measurements, updating the y-axis and line chart accordingly. Built with D3 v5, the SVG rendering uses `scaleTime` and `scaleLinear` for axes, `nest` to group data by year, and `line` with `curveBasis` for smooth paths. Data comes from the Kings College London Air Quality Dataset via the London Datastore.

Lluavabo

Multiple Line plot with Dropdown

This visualization displays monthly air quality measurements for PM2.5 and PM10 particulates in London from 2010 to 2018, using a dropdown menu to switch between different pollutant metrics. Multiple colored lines represent individual years, with a color legend distinguishing each annual series. The SVG chart uses d3.scaleTime, d3.scaleLinear, d3.nest, and d3.line with curveBasis to render the paths, while d3-transition animates updates. Data comes from the Kings College London Air Quality Dataset via the London Datastore, loaded as CSV using d3.csv.

LLex

Multiple Line plot with Dropdown

This visualization displays monthly air quality measurements for London from 2010 to 2018, showing how different pollutants like PM2.5, PM10, and ozone vary over time. A dropdown menu lets users switch between pollutant types, while multiple colored lines represent different years. The chart uses d3.line with curveBasis for smooth paths, d3.scaleTime and d3.scaleLinear for axes, d3.nest for grouping data by year, and d3.transition for animated line updates. Data comes from the London Datastore, rendered as an SVG with a color legend.

AArriannePandaraoan

Multiple Line plot with Dropdown

This interactive line chart visualizes monthly average PM2.5 and PM10 particulate levels across London from January 2010 to August 2018, using a dropdown menu to compare different air quality measurements. Built with D3 v5, the visualization renders smooth time-series lines using `d3.line()` and `d3.curveBasis`, with axes scaled via `d3.scaleTime()` and `d3.scaleLinear()`. The dropdown, implemented through a custom menu component, triggers smooth transitions (1500ms) as the Y-axis data changes. Color-coded by year, the chart includes a D3 ordinal color legend, while the dataset originates from the Kings College London Air Quality Dataset in the London Datastore.

YYash G

Multiple Line plot with Dropdown

This interactive visualization displays a multiple line plot of air quality data, allowing users to compare trends across different pollutants via a dropdown menu. The chart plots daily values for each pollutant across time, with lines colored by category. Built with D3 v5, it uses `scaleTime`, `scaleLinear`, `nest`, and `line` to generate smooth curves, while a custom `dropdownMenu` component handles user selection. The data comes from the London Datastore, and the visualization updates dynamically with animated transitions on the SVG paths.

LLex

Multiple Line plot with Dropdown

This interactive visualization displays monthly air quality measurements from the London Datastore, plotting pollutant concentrations over time with a dropdown menu to switch between different pollutants. The chart renders smooth multi-line paths for each year using d3.line and curveBasis, while a dynamic y-scale and axis labels update to reflect the selected measurement. The dropdown menu, built with d3.select and .on('change'), triggers a render function that recomputes the line chart with the newly chosen column. Color-coded lines distinguish annual trends, with a legend explaining the color scale.

KKeerthiKandadai

Multiple Line plot with Dropdown

Filtering London air quality data from January 2010 through August 2018, this interactive visualization displays yearly trends for multiple pollutant measures as colored lines, with each year distinguished by a sequential purple color scale. A dropdown menu lets users switch the y-axis among variables like PM2.5, PM10, and nitrogen oxides, updating the line chart with a smooth 1.5-second transition. Built with D3 v5, the example uses `d3.nest` to group data by year, `d3.line` with a basis curve for path generation, and a custom dropdown component; a color legend maps each year to its hue.

KKeerthiKandadai