Project Momentum

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This radial line chart displays monthly temperature anomalies for Massachusetts across two years, with each year drawn as a circular path. The visualization uses React with D3 v5 scales (`scaleTime`, `scaleLinear`, `scaleOrdinal`) to map dates to angles and anomaly values to radii. A color legend filters highlighted paths on hover, while `lineRadial` and `curveLinearClosed` generate the closed circular trajectories. Data originates from a CSV file containing 1895–1896 anomaly records, rendered as SVG elements.

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Monthly Average Temperature Anomalies - Update 4

This radial plot displays monthly average temperature anomalies for Massachusetts from 1895 onward. A dropdown menu filters the data by year, and each month is positioned along the circular axis with its radial distance representing the anomaly value. The visualization uses `d3.lineRadial` and `d3.pointRadial` to construct the line and points, with a sequential color scale applied to the stroke. Data comes from a local CSV file, and the plot is rendered as SVG with interactivity via tooltips and a D3-based menu.

Monthly Average Temperature Anomalies

This radial plot displays monthly temperature anomalies for Massachusetts, measured as deviations from a baseline, for a selected year. Each point represents one month, positioned by its date along a circular time axis and by its anomaly value from the center, with a color scale ranging from blue (negative anomaly) to red (positive anomaly). The tooltip and slider menu allow year selection. The visualization is built with D3 v7 using `scaleTime` for the angular axis, `scaleLinear` for the radial axis, `lineRadial` to connect the data points, and `interpolateRdBu` for the color mapping, all rendered as SVG within React.

Fork of Radar Chart

This radial chart displays monthly temperature anomalies for Massachusetts from 1895 onward, with a slider to select a specific year. Each point represents a month’s deviation from the historical average, colored along a blue-to-red diverging scale. The chart uses a D3 v7 radial line generator (`d3.lineRadial`) with a time scale for angles and a linear scale for radii, rendered as SVG. Data comes from a local CSV parsed with `d3.csv` and `d3.timeParse`.

Wwillapolman@gmail.com

Radar Chart

This radar chart displays monthly average temperature anomalies for Massachusetts, using a circular layout where months are plotted around the circumference and anomalies extend from the center. Users can select a year via a range slider to update the visualization. Built with D3 v7 and React, the chart uses `scaleTime` for the angular axis and `scaleLinear` for the radial distance, with a color gradient from red to blue indicating anomaly magnitude. Data comes from a CSV file containing temperature records from 1895 onward.

Monthly Average Temperature Anomalies - Update 3

A radial line chart displays monthly average temperature anomalies for Massachusetts in 1895 and 1896, with a dropdown menu to switch between years. Each month appears as a point on a circular axis, and hovering reveals the exact temperature and month. The visualization uses D3 v7’s `scaleTime`, `scaleLinear`, `lineRadial`, and `pointRadial` to position data radially, with tooltips and a menu built from custom D3 modules. Data comes from a CSV file containing monthly temperature values and anomalies for the state.

Fork of Radar Chart

This radar chart displays monthly average temperature anomalies for Massachusetts from 1895 to 2022, with a slider to select the year. A radial time scale maps months around the circle, while a linear scale maps anomaly values to radii, using color to encode temperature differences. The visualization is built with React and D3 v7, using `d3.scaleTime`, `d3.scaleLinear`, `d3.lineRadial`, and `d3.scaleSequential` with an interpolating color scheme. Data is loaded from a CSV file and rendered as SVG paths and points.

Sste.jendritz@gmail.com

Fork of Monthly Average Temperature Anomalies

This radial plot shows monthly average temperature anomalies for Massachusetts in 1895 and 1896, with each month positioned around a circle and the anomaly value plotted as the distance from the center. A dropdown menu lets the viewer switch between the two years. The visualization uses d3.scaleBand and d3.lineRadial to position and draw the data, with d3.scaleOrdinal for coloring and d3.axisLeft for the circular grid lines. Temperature data comes from a local CSV file.