Project AQI vs CO

AQI VS CO

This scatterplot compares AQI values with CO AQI values for nine countries, using a red trendline to suggest a positive correlation between the two air-quality metrics. The visualization renders as an SVG in D3 v7, with colored circles distinguishing countries, labeled axes, and a legend. It uses `d3.csv` to load data from a GitHub Gist, `d3.scaleLinear` for axes, and `d3.regressionLinear` to compute the fitted line.

90% match

Project AQI vs Ozone

This scatter plot pairs each country’s AQI value with its corresponding Ozone AQI value, using colored circles to distinguish ten countries. Rendered as an SVG via D3.js v7, the chart loads CSV data from a GitHub gist and maps the numeric columns to linear axes. D3’s `scaleLinear`, `axisBottom`, and `axisLeft` APIs build the scales and tick marks, while `selection.append` creates the circles and a manual color-keyed legend from a JavaScript object.

89% match

Project AQI vs NO

This scatter plot displays the relationship between AQI values and NO2 AQI values across different countries, with each point colored by its country of origin and accompanied by a legend. The visualization uses D3.js v7 to load data from a CSV file hosted as a GitHub gist, then constructs an SVG chart with linear scales, axes, axis labels, and circles positioned via `d3.scaleLinear`. The code creates a scatter plot with `d3.csv`, `d3.axisBottom`, and `d3.axisLeft`, while styling points using a country-to-color mapping and adding a legend with SVG rectangles and text elements.

88% match

Project AQI vs PM2.5

This scatter plot visualizes the relationship between AQI Value and PM2.5 AQI Value, with each point colored by country (India, USA, Australia, etc.). It uses D3.js v7 to read CSV data, create linear scales, render SVG axes and circles, and display a categorical legend. The chart includes axis labels and a title.

87% match

AQI VS PM2.5

This example shows a bar chart comparing AQI Values across countries, with a primary focus on the overall AQI metric. The visualization uses D3 v7 to load a CSV data file, parse numeric values, and render SVG bars scaled with d3.scaleBand and d3.scaleLinear. It displays rotated x-axis labels for country names and includes axis labels for clarity. The bars are styled with a steelblue fill that darkens on hover via CSS. The code applies standard D3 selections and axis generators to construct the chart within a defined margin-based layout.

80% match

AQI VS OZONE

This bar chart compares AQI values against ozone AQI values across countries, with steelblue bars representing overall air quality index readings. The visualization uses D3 v7’s SVG rendering, loading data from a CSV file via `d3.csv`. It employs `scaleBand` for the categorical x-axis, `scaleLinear` for the numeric y-axis, and `d3.axisBottom` with rotated labels to accommodate country names. Hover interactions darken bars via CSS, while margins and labels are configured through SVG text elements.

79% match

AQI vs NO

A bar chart displays the Air Quality Index (AQI) values for various countries, alongside their NO2 AQI values from a CSV dataset loaded via `d3.csv`. Each country is plotted on the x-axis using `d3.scaleBand`, while the y-axis uses `d3.scaleLinear` to map AQI values to bar heights. The SVG rendering includes rotated x-axis labels for readability, with hover effects styled in the linked `style.css`. D3 v7 is loaded from UNPKG, and the chart is drawn within a fixed-width container using `d3.axisBottom`, `d3.axisLeft`, and `d3.select`.

79% match

AQI vs Forest

This scatter plot visualizes the relationship between AQI and forest area across geographic coordinates, using circle size to encode AQI values and color intensity to represent forest percentage. The visualization loads CSV data via d3.csv, maps longitude and latitude to linear scales for axes, and employs d3.scaleSqrt for radius encoding and d3.scaleLinear with a light-to-dark green color range. A tooltip displays country, AQI, and forest area details on mouseover, while SVG circles with opacity and white strokes render the data points.