ILINet Flu Surveillance Data

ILINet Flu Surveillance Data

This visualization displays national ILI total cases per week for each year from 2015 to 2019, using multi-series line marks to compare seasonal flu patterns year-over-year. The chart aggregates ILITOTAL values by year, region, and week, with color and size encoding the year. It is built with vega-lite-api, vega-lite, and d3, pulling data from a CSV fetched via d3.csv. The data originates from CDC FluView Interactive, and the visualization is configured with custom axis and label styling.

95% match

ILINet Flu Surveillance Data

This visualization displays ILINet flu surveillance data as small multiples of bar charts, with each panel representing a year and showing the average total patients per week across regions. The bars are colored by year, and hovering reveals ILI totals. The chart is built using vega-lite-api with vega-lite and vega, with data loaded via d3.csv from a Gist. The code aggregates patient counts by year, region, and week, and applies custom configuration for axis styling and tooltips. Data originates from the CDC FluView Interactive.

95% match

ILINet Flu Surveillance Data

This visualization displays weekly influenza-like illness (ILI) totals across multiple years, with each year distinguished by color on a bar chart where the x-axis represents week number and the y-axis shows aggregated ILI counts. The view aggregates raw CDC ILINet data by year, region, and week before rendering. Built using the vega-lite-api library with D3.js for data loading, the chart applies a custom color scale ordered from 2019 back to 2015 and includes interactive tooltips via vega-tooltip. The underlying data originates from the CDC FluView Interactive surveillance system.

95% match

ILINet Flu Surveillance Data

This visualization displays annual ILI total cases from 2015 to 2019 as overlaid line charts, enabling year-over-year comparison of flu season patterns and peaks. It uses the vega-lite-api and d3.csv to load CDC FluView surveillance data, with vega and vega-lite handling rendering and tooltips. The y-axis shows aggregated ILI totals by week, while color encodes year; the code also includes a Choropleth map interaction option for regional or state-level exploration.

Pprincit

ILINet Flu Surveillance Data

This visualization displays annual ILI (influenza-like illness) total cases by week for the US, with color encoding by year to compare flu season patterns across 2015 through 2019. It uses vega-lite-api with d3 to load CSV data from a GitHub Gist, aggregates ILITOTAL by year, region, and week, and renders multi-series line marks over a fitted, full-window SVG canvas. The config file customizes axis and label styling for readability.

CCurran Kelleher

ILINet Flu Surveillance Data

The visualization displays weekly influenza-like illness (ILI) totals across US regions from 2015 to 2019, with each year rendered as a colored line and point size encoding the same year. It uses the vega-lite-api to build a layered mark specification, with d3’s `csv` function fetching the raw CDC FluView data from a Gist. The chart is rendered via vega-lite and vega, with tooltips provided by vega-tooltip and visual styling customized through a shared config object.

ILINet Flu Surveillance Data

This visualization displays annual ILI flu case totals across U.S. regions, with lines for each year from 2015 to 2019 plotted against week of year. The chart uses an unordered color scale for the year field, making it harder to compare temporal trends. Built with the vega-lite-api and d3, it aggregates weekly ILITOTAL values by year and region before rendering the line marks. Data originates from CDC FluView Interactive, loaded as CSV via d3.csv, and the visualization supports tooltips on hover.

SSoundarrajanK

ILINet Flu Surveillance Data

This chart displays the national ILI total flu cases per week from 2015 to 2019, with each year drawn as a separate line to facilitate year-over-year comparison. The ordered color encoding (darker means more recent) makes it easy to distinguish the annual trends. It is built using the vega-lite-api and vega-lite, with data loaded from a CSV file via d3.csv. The aggregator sums ILITOTAL per region and week, and the plot supports tooltips for detailed data inspection.

Llscholz1