Vis for Project

Ppatricknicholas27@gmail.com

109550187_HW7

This interactive visualization shows air pollution levels across multiple monitoring stations, displaying daily average concentrations for six pollutants (SO2, NO2, O3, CO, PM10, PM2.5) as a series of stacked horizon charts. Users select a year and band number via dropdown menus, which updates React state and triggers D3 to re-render the SVG. The code uses `d3.csv` to load air pollution data from a remote server, `d3.scaleTime` and `d3.scaleLinear` for axes, and `d3.mean` to aggregate hourly measurements into daily averages. Each pollutant uses a distinct color scheme, with bands overlaid to encode magnitude.

79% match

Project Task 1

This example shows average PM2.5 AQI values for various countries as a horizontal bar chart, with each country’s bar length proportional to its pollution level. The visualization uses React for component structure and D3 v5’s `scaleBand` and `scaleLinear` for positioning, while `csv` loads pollution data from a GitHub-hosted CSV. The SVG bars are rendered as `rect` elements, with axes built from `AxisBottom` and `AxisLeft` components that call `xScale.ticks()` and map over `yScale.domain()`. Tooltips are provided via SVG `<title>` elements.

MMichael Biancardi

79% match

Example AQI Data in Bar Graph

This bar graph displays the Air Quality Index (AQI) values for various pollutants in Maine, with each pollutant represented as a horizontal bar whose length corresponds to its AQI measurement. The visualization uses React with D3 v5, employing `scaleBand` for the categorical y-axis and `scaleLinear` for the continuous x-axis. SVG rectangles are rendered for each bar, with axes created through custom `AxisBottom` and `AxisLeft` components. The data is loaded asynchronously from a CSV file using D3’s `csv` function, and hovering over a bar reveals its exact AQI value via a tooltip.

Fork of Making a Bar Chart

This visualization displays the daily Air Quality Index (AQI) values for two pollutants, NO2 and Ozone, as horizontal bars. It shows how AQI levels fluctuate over time for each pollutant type, with the x-axis representing AQI values and the y-axis listing pollutant categories. The chart uses D3 v5 APIs including `scaleLinear`, `scaleBand`, `axisBottom`, and `axisLeft` to render the SVG, with data loaded from a local CSV file. Custom axis label formatting is applied using D3's `format` function, and the chart includes a title and axis label for the AQI value.

tests

This visualization plots air quality index (AQI) values over time, with each point colored by the main pollutant type. It uses the vega-lite-api library to construct a scatterplot with tooltips showing AQI value and pollutant. A horizontal red rule line is also drawn at a fixed y-value of 20, though its significance is not labeled. The data is loaded from a CSV file hosted on GitHub using d3.csv, and the visualization is rendered with Vega-Lite in an SVG view.

Project Task 6

This scatterplot compares PM2.5 and NO2 AQI values from a pollution dataset, with each blue circle representing a data point. The visualization uses D3 v5’s `scaleLinear`, `extent`, `axisLeft`, and `axisBottom` to map values to SVG coordinates and render axes. Data is loaded via `d3.csv` from a GitHub gist, and circles are drawn with `selectAll().join()`. Green axis labels and a red title style the chart, which fills the browser window.

MMichael Biancardi

Fork of AQI Data in Bangor, Maine Over Time

The visualization shows daily Air Quality Index (AQI) readings for Bangor, Maine, over time, filtered by pollutant type (Ozone or PM2.5) through a dropdown menu. It plots AQI values against dates using d3.scaleTime and d3.scaleLinear, rendering a smooth curved line via d3.line with curveNatural and individual data points as circles with tooltips. The component uses React hooks to manage state and loads CSV data from a GitHub gist, while SVG elements are generated through reusable axis and mark components.

VVikil Lakkavatri

77% match

Example AQI Data in Scatter Plot

This scatter plot visualizes Air Quality Index (AQI) values over time, colored by the dominant pollutant type for each recorded date. Each circle represents a daily measurement, with the y-axis showing the AQI value and the x-axis encoding the date. The visualization is built using Vega-Lite’s API via `vega-lite-api`, with data loaded from a CSV file using `d3.csv`. A firebrick rule line marks a fixed y-value of 20, and tooltips display the specific pollutant and AQI value for each point.