Example AQI Data Per Day of the Week

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.

81% 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.

79% match

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.

76% match

Vis for Project

This visualization shows the average Air Quality Index (AQI) for six pollutants—CO, NO2, SO2, PM10, PM2.5, and Ozone—as a pie chart with a custom legend listing each pollutant and its mean value in units. The code loads a CSV dataset from a GitHub gist, aggregates the pollutant-specific AQI values by summing and averaging non-void entries, and renders the result using D3 v5’s `pie`, `arc`, and `scaleOrdinal` with `schemeCategory10`. The SVG is drawn with paths, and each segment includes a mouseover handler that logs the pollutant’s AQI to the console.

Llibramanju

76% match

AQI-city

This interactive line chart visualizes daily Air Quality Index (AQI) readings for the city of Bangor, Maine, throughout 2022. A dropdown menu allows the user to switch between two pollutant types, Ozone and PM2.5, enabling comparison between the two time series. The visualization renders as an SVG using React, with D3 v5 handling the scales, axes, natural curve interpolation for the line, and data point circles that display exact AQI values on hover. The underlying dataset is loaded from a remote CSV file.

Vvenky0623

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.

AQI in Different Cities

The visualization displays Air Quality Index (AQI) values as a heatmap across different cities and timestamps, with color intensity reflecting pollution levels. Each rectangular cell encodes a city-time pair, and tooltips reveal exact AQI numbers on hover. The code uses the d3.csv API to load the AQI_2015.csv dataset, then constructs the graphic through the Vega-Lite API (vl.markRect) with fields mapped to the x-axis, y-axis, color scale, and tooltip. The resulting SVG renderer output is configured with custom axis styling and tooltip handling via vegaTooltip.

LLichenYang

interactive graph

This interactive scatterplot displays air quality index (AQI) values over time, plotting each daily measurement as a point with a fixed size and full opacity. Hovering reveals the exact AQI value via tooltip. The visualization loads daily API data from a CSV file using `d3.csv`, then builds the chart with the vega-lite-api library, which registers Vega and Vega-Lite and renders to SVG. The chart automatically fits the window size and applies custom styling for readability.