MelanieFreed

@MelanieFreed·4 public vizzes

Foot Traffic

A line chart shows estimated relative foot traffic in Manhattan across 24 hours, with points marking each hour's average value. The visualization uses D3.js v3 with an SVG rendering approach, loading data from a CSV file via `d3.csv`. The chart employs `d3.scale.linear` for both axes, `d3.svg.axis` for tick marks, and `d3.svg.line` to draw the connecting path between data points.

Jul 18, 2015

Loading thumbnail…

Foot Traffic

This visualization maps estimated foot traffic across Manhattan, with each neighborhood polygon colored on a gradient from light to dark blue to indicate relative pedestrian volume. The map is rendered as an SVG using D3 v3, with a Mercator projection and topojson for geographic data. Color intensity reflects the average foot traffic rating per polygon, and a color bar provides a legend. The code uses `d3.json` and `d3.csv` to load the geographic and traffic data, then applies a linear color scale to fill each polygon.

Jul 18, 2015

Loading thumbnail…

Predicting healthcare services

This visualization presents 14 small-multiple ROC curves, one for each healthcare service, to assess the predictive power of a support vector machine. Each plot displays the true positive rate (sensitivity) against the false positive rate (1 - specificity) for a different service, with the area under the curve (AUC) value listed in a corresponding file. The charts are rendered as SVGs using D3.js, with curves drawn from a CSV file containing threshold and sensitivity/specificity pairs for all services. The interface includes a header, explanatory text, and titled plots with axes, using a yellow-on-gray color scheme.

Jun 19, 2015

Loading thumbnail…

Collisions with Pedestrians in NYC

This interactive dashboard visualizes pedestrian collision data across New York City’s five boroughs from 2012 to 2015. It combines a map, time-series line graph, and bar chart to explore injury and fatality counts per month, highlighting differences by borough and time of day. The visualization uses d3.v3 with SVG and animation, loading data from local CSV files. The map, rendered via `d3.geoPath` from a TopoJSON file, allows users to click a borough to filter the other charts, which display per-capita rates and hourly patterns.

Apr 30, 2015