FrancoisDEAVEIRO

@FrancoisDEAVEIRO·4 public vizzes

Gist a566cb49aea3e3fbdee61ae74d9fe99f

This visualization tracks the weekly incidence of influenza-like illness across French regions from 2003 to 2015, using a multi-line chart rendered in SVG with D3.js. Each line represents a region’s weekly reported case counts over time, revealing seasonal peaks and comparing regional patterns across more than a decade of epidemiological data. The chart includes a legend to identify regions and an interactive hover behavior that highlights the nearest data point and displays its value and date. The visualization effectively communicates the recurring yearly spikes in flu cases and the relative magnitude across regions, with France as a whole included for comparison. The line chart is complemented by a date-based x-axis and numeric y-axis, making temporal trends and regional differences easy to read.

Dec 7, 2016

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Gist eec08e3c52c734f58ff3ebf299ea96fd

This visualization uses a streamgraph to show the weekly incidence of influenza-like illness across French regions throughout 2014. The data is drawn from the GrippeFrance2014.csv dataset, with each region’s weekly case counts stacked to form flowing, color-coded bands over time. The chart employs d3.v3 to render the stacked areas, with the x-axis mapping dates from January to December and the y-axis representing case numbers, revealing seasonal epidemic peaks and regional variation in flu activity across France.

Nov 28, 2016

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Gist b36abc16cbfb93f9d5e2649f3223b006

This choropleth maps US agricultural productivity for 2004 using a green sequential color scale, with states colored from light to dark green based on their productivity value, and missing states in gray. Built with D3 v3, it loads CSV data and a GeoJSON of US states, merges the productivity values by state name, and renders the map using an Albers USA projection. The color scale is quantized to the domain of the data, and the map is drawn with a fixed width of 700 pixels and height of 580 pixels.

Nov 24, 2016

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simple line chart from dataset

This simple line chart visualizes a small dataset of monthly values across seven categories, showing the trend of a metric over time. The chart encodes each data point as a grey circle on a black polyline, with the x-axis using an ordinal scale for category names and the y-axis using a linear scale for values. The code, built with D3 v3, parses dates from the dataset and renders the SVG with a fixed size. On mouseover, circles turn red, a dynamic value label appears, and a dashed guide line drops to the baseline; the final value is labeled at the line’s end.

Nov 21, 2016