Project most affected country

Pollutant count Project

This bar chart displays the top ten pollutants with the highest frequency in a global air quality dataset, ranked by their average count. The visualization uses a D3.js v6 SVG bar chart, where each bar represents a pollutant type and its corresponding frequency, with hover effects for interactivity. The data is fetched from a GitHub-hosted CSV file and parsed client-side using PapaParse. Axes are clearly labeled, and the chart is styled for readability, making it straightforward to compare pollutant prevalence at a glance.

88% match

Project ANalysis

This bar chart visualizes the average pollutant value for each country from a CSV dataset of world air quality. The chart uses D3.js v7 with an SVG rendering approach, employing `d3.scaleBand` for the categorical x-axis and `d3.scaleLinear` for the continuous y-axis. The data is aggregated using `d3.rollup` with `d3.mean` to compute country-level averages. Bars change color from steelblue to orange on mouseover, providing interactive feedback to the viewer.

85% match

Project

This visualization displays a bar chart of the top 10 pollutants ranked by their average measured value, with green bars that lighten on hover for easy comparison. It loads a CSV file from GitHub using the PapaParse library to parse the data, then processes it in JavaScript to calculate averages per pollutant. The chart is rendered as an SVG using D3 v6, employing `d3.scaleBand` and `d3.scaleLinear` for the axes, with clearly labeled tick marks and axis titles for readability.

85% match

Project POLLUTANTS

This bar chart visualizes the count of each pollutant type in an air quality dataset, highlighting the distribution of pollutants across the records. The chart uses D3.js v6 to load a GitHub-hosted CSV file via `d3.csv`, process the data with array reductions, and render an SVG bar chart with `scaleBand` and `scaleLinear`. Axes are generated using `d3.axisBottom` and `d3.axisLeft`, with bars colored steelblue that turn orange on hover. The data source is a CSV file fetched directly from a GitHub repository.

83% match

Pie Chart

This pie chart displays the top 10 countries by deaths from air pollution in 2020. It uses D3 v5 with SVG rendering, fetching CSV data from a GitHub gist. The visualization applies d3.pie and d3.arc to generate colored segments, with labels showing values in thousands. A legend lists country names and corresponding totals, using d3.scaleOrdinal for color assignment.

SSonuSriN

Mmeghna.reddy700@gmail.com

Question 1 Pie Chart

This pie chart visualizes the top 10 countries with the most air pollution-related deaths in 2022. It uses D3.js (v5) with the `d3.pie` and `d3.arc` APIs to generate SVG paths, displaying death counts as labels formatted in thousands. Data is loaded asynchronously from a CSV file via `d3.csv`. A legend, positioned to the right, pairs each country with a colored rectangle and corresponding value, using `d3.scaleOrdinal` for color assignment.

Barchart

This bar chart displays the top 15 CO₂-emitting countries in 2020, with bars scaled linearly to show each nation’s emissions in megatonnes. The view uses an SVG rendered by D3 v7, loading tab-separated data via `d3.tsv` from a public GitHub gist. Bars are drawn with `scaleBand` and `scaleLinear`, while rotated tick labels on the `axisBottom` improve readability of country names. The chart includes a bold title and axis labels for country and emissions, all created using standard D3 selection and join methods.

Bbadrinath888@gmail.com

Fork of countries

This visualization is a pie chart illustrating the top 10 countries by deaths from air pollution in 2020, with each slice labeled with the death count in thousands. The chart uses d3.pie, d3.arc, and d3.scaleOrdinal to generate the slices and their colors, while d3.select appends SVG elements for the pie and a legend. Data is fetched from a CSV URL via d3.csv, and the code formats the numeric labels using d3.format. The visualization clearly shows the proportional death tolls, with a legend mapping each country to its corresponding slice color.

NNaimisha-M