Fork of Activity 6_Task 1

Fork of Activity 6_Task 1

This bar chart displays the 2020 population estimates for the top 30 countries, using a horizontal layout with country names on the y-axis and population values on the x-axis. The visualization is built with React and D3 v5, leveraging `scaleBand` and `scaleLinear` for scales, with SVG rectangles as marks. Data is loaded from a remote CSV file via `d3.csv`, and the x-axis labels are formatted using `d3.format` to abbreviate large numbers, converting gigabytes notation to billions for readability.

Nnavyabade05@gmail.com

Fork of Activity 6_Task1

This bar chart displays the population of 30 countries in 2020, with countries listed along the vertical axis and population values extending horizontally. The visualization uses React with D3 scales—`scaleBand` for the categorical y-axis and `scaleLinear` for the numeric x-axis—to render SVG rectangles. The data is loaded via `d3.csv` from a GitHub-hosted dataset, and the code includes custom `AxisBottom`, `AxisLeft`, and `Marks` components that generate axis ticks and bars. The x-axis labels are formatted with `d3.format` to abbreviate large numbers (e.g., converting millions to billions with an "B" suffix).

EElena Momtcheva

Fork of Activity-6_task-1

This visualization shows the populations of 30 countries in 2020 as a horizontal bar chart, with country names on the y-axis and population values on the x-axis. It uses React and d3.scaleBand for the categorical y-axis and d3.scaleLinear for the quantitative x-axis, rendering SVG rectangles via the Marks component. The data is loaded as CSV using d3.csv, with population values formatted using d3.format. Axes are custom components built with SVG elements, and the chart is styled with the Poppins font.

Ssiddhartha gurram

Lleelakrishnadivi7@gmail.com

Fork of Activity 6_Task 1_2

A horizontal bar chart displays the populations of 20 countries in 2010, ranked along the y-axis with population values on the x-axis. Built with React and D3 v5, the visualization uses `scaleBand` and `scaleLinear` to position bars, while custom React components `AxisBottom`, `AxisLeft`, and `Marks` render axes and rectangles. Data is loaded via `d3.csv` from a GitHub gist, formatted with `d3.format`, and styled with green fills and blue tick lines.

Vvamsikrishnakanchukommala@my.unt.edu

Fork of activity 6_Task 1

This bar chart displays the 2020 population estimates for 30 countries, with country names on the y-axis and population values on the x-axis. The visualization uses React to structure SVG elements, with D3 v5's `scaleBand` and `scaleLinear` for positioning and `format` for tick labels. Data is loaded asynchronously from a CSV file using `d3.csv`. Marks are rendered as SVG rectangles with tooltip titles, while custom axis components generate ticks and labels.

LLakshmiPrasannaValdas@my.unt.edu

Fork of Activity 6_Task 1

This bar chart displays the population of 30 countries in 2020, sorted along a horizontal linear scale with countries listed on a vertical band scale. Built with React and D3 v5, it uses `scaleBand`, `scaleLinear`, and `max` to compute dimensions, while custom `AxisBottom` and `AxisLeft` components render SVG ticks and labels. Population values are formatted with `format('.2s')` and converted from thousands, and each rectangle includes a native SVG `<title>` tooltip. Data is loaded asynchronously via `d3.csv` from a GitHub raw URL.

Fork of Activity 6_Task 1

This example displays a horizontal bar chart of population totals for 30 countries in 2020, using a bar length to encode each country’s population magnitude. The visualization is built with React and D3 v5, leveraging `scaleBand` and `scaleLinear` for scales, and `csv` to load data from a GitHub-hosted CSV file. Rendered as SVG, it includes custom axis components, a formatted tick label using `format('.2s')`, and tooltips via the `<title>` element.

Hharsha13638@gmail.com

Sshivakumarganji@my.unt.edu

Fork of Activity 6_Task 1

A horizontal bar chart displays the 2020 population of thirty countries, with bars arranged alphabetically by country name. The chart loads data from a CSV file and renders it as an SVG using React and D3 v5, employing `scaleBand` for the categorical y-axis and `scaleLinear` for the quantitative x-axis. The code defines custom axis components and a `Marks` component for the rectangles, which include tooltips formatted using D3's `format` function.