assignment

act8

This example displays a responsive bar chart visualizing the top 10 most populous countries using data from the UN population estimates for 2024. The chart shows each country's total population in thousands, with bars rendered via SVG rectangles. The code uses the D3 library for data handling, including `scaleBand` and `scaleLinear` for scales, and the `@curran/responsive-axes` library for axis generation. Resizing is managed through `observeResize` from `@curran/responsive-axes`, ensuring the chart adapts to its container dimensions.

Sshaiksajidali

Responsive Bar Chart

This responsive bar chart displays the top 10 most populous countries as of January 1, 2024, using data from the UN population estimates. It uses d3.scaleBand and d3.scaleLinear to map country names and population values to bar positions and heights. The visualization leverages the `observeResize` helper from `@drbagwell/responsive-viz-axes` for dynamic sizing, and renders axes through the `axes` function. The chart includes a gray inner rectangle behind the bars and uses `d3.select` and `join` for SVG element management.

DDonald Bagwell

Ttejasviteegala@my.unt.edu

Fork of Responsive Bar Chart

This bar chart visualizes the top 10 most populous countries, with each bar representing a country's total population in thousands. The data comes from the UN population estimates for 2024, filtered to include only countries and sorted in descending order. The visualization uses D3’s `scaleBand` for the categorical x-axis and `scaleLinear` for the population y-axis, with `max` computing the domain. The `@curran/responsive-axes` library handles the axes, while `observeResize` ensures the chart adapts to container dimensions. An inner rectangle highlights the plot area, and bars are drawn via `rect` elements.

Ttejasviteegala@my.unt.edu

Fork of Responsive Bar Chart

Vvamsikrishnakanchukommala@my.unt.edu

Fork of Responsive Bar Chart

This example presents a responsive bar chart that visualizes population estimates for the top 10 countries by total population, using data from the UN Population Estimates 2024 dataset. The chart displays the population values in thousands for each country, with bars rendered on a canvas that includes a light gray inner rectangle and labeled axes. The implementation leverages D3.js APIs including `scaleBand`, `scaleLinear`, and `axisLeft`, along with the `@curran/responsive-axes` library to handle dynamic resizing. The code also utilizes `observeResize` from `@curran/responsive-axes` to adapt the chart dimensions to its container.

Responsive Bar Chart

This responsive bar chart displays the top 10 countries by population using data from the UN Population Estimates 2024. It adapts its width and height to the container size via the `observeResize` and `axes` APIs from `@curran/responsive-axes`. The visualization uses `d3.scaleBand` and `d3.scaleLinear` for positioning bars, with `d3.axisLeft` for the y-axis and dynamic SVG resizing in `d3.select().attr()`. Gray rectangles mark the inner plotting area, while bar heights encode population values in thousands.

CCurran Kelleher

Gg_ivaska@coloradocollege.edu

Responsive Bar chart following

This responsive bar chart visualizes the top 10 countries by total population, using 2024 UN population estimates. It shows each country’s population in thousands as horizontal bars, with labeled axes and a gray inner plot region. The visualization uses D3’s `scaleBand`, `scaleLinear`, and `axisLeft` to render marks, while `observeResize` from `@curran/responsive-axes` recalculates dimensions on container resizing, ensuring the chart adapts fluidly to varying viewport sizes.

Fork of Responsive Bar Chart

This responsive bar chart displays the top 10 countries by total population as of January 1, 2024, using data from the UN population estimates. The chart uses D3's `scaleBand` and `scaleLinear` to map country names and population values, with bars rendered as SVG rectangles. It leverages the `observeResize` and `axes` functions from the `@curran/responsive-axes` library to adapt the chart’s dimensions and axis labels to the container’s size. The visualization includes an inner grey rectangle and explicit margins for a clean layout.

AAamir Hameed mir