Question 1

Sshivakumarganji@my.unt.edu

Question 1

A horizontal bar chart displays the population of ten countries in the year 2000, sorted alphabetically by country name. Built with React and D3 v5, the visualization uses `scaleBand` for the y-axis and `scaleLinear` for the x-axis, rendering bars as SVG rectangles. Data is loaded via `d3.csv` from a GitHub gist, with tick labels formatted using `d3.format`.

Nnsairitwikreddy@gmail.com

Question 1

This chart displays the populations of ten countries in the year 2000, sorted vertically with horizontal bars whose lengths represent population values. The visualization uses React to render SVG elements, with D3 scales and format utilities, specifically `scaleBand` for the categorical y-axis and `scaleLinear` for the numeric x-axis. Data is loaded from a CSV source and processed before display. Axis labels and tick marks are generated via custom React components, with population values formatted in billions using the `format('.2s')` API.

Jjaideeptripurani12@gmail.com

question 1

A horizontal bar chart displays the population of ten countries in the year 2000, sorted by name. Built with React and D3 v5, it uses `d3.scaleBand` for the categorical axis and `d3.scaleLinear` for the quantitative axis, rendering SVG rectangles. Population values from a CSV file are formatted with `d3.format` and displayed via `d3.scaleLinear` ticks.

Cchintamanenithp@gmail.com

Question1part 1

This bar chart displays the populations of ten countries for the year 2000, with country names on the y-axis and population values on the x-axis. Data is loaded asynchronously from a GitHub-hosted CSV file via `d3.csv`, and the chart is rendered using React SVG components. The code uses `d3.scaleBand`, `d3.scaleLinear`, and `d3.format` for axis scaling and tick labels, with tooltips provided by SVG `<title>` elements.

Question1

This example shows a horizontal bar chart comparing the populations of the top 10 countries in the year 2000, with numeric labels formatted using shorthand notation (e.g., "1.2B"). It is built with React and D3 v5, using `scaleBand` and `scaleLinear` to map country names and population values to SVG rectangles. Data is loaded asynchronously from a CSV file via D3’s `csv` function, filtered to the first ten rows, and rendered with custom `AxisBottom`, `AxisLeft`, and `Marks` components. The chart also includes interactive tooltips using SVG `<title>` elements.

Eeedaraajay02@gmail.com

Vvinaykollapudi@my.unt.edu

question 1

This example visualizes the population of ten countries in the year 2000 using horizontal bar marks. It loads data from a remote CSV via the d3.csv API within React, slicing the dataset to the first ten rows. The React implementation uses d3.scaleBand for the categorical y-axis and d3.scaleLinear for the quantitative x-axis, with SVG rectangles drawn through the Marks component. Rendered as an SVG, the chart includes labeled axes, a custom tick formatter that converts values to billions, and tooltips using SVG `<title>` elements.

Question1.1

A horizontal bar chart displays the population of ten countries in the year 2000, using a linear scale for the x-axis and a band scale for the y-axis. The React app loads CSV data via `d3.csv`, transforms the population values by multiplying by 1000, and renders SVG rectangles with `d3.scaleLinear`, `d3.scaleBand`, and `d3.max`. Axis components use `d3.scaleBand.ticks` and `d3.format` to show abbreviated tick labels, while a tooltip is provided through SVG `<title>` elements.

Aasimcyb@gmail.com

GGangumalla Ruchitha Reddy

Question 1

This example shows a horizontal bar chart ranking the populations of ten countries for the year 2000, with values formatted in billions using D3's `format` API. React components render SVG rectangles, while D3's `scaleBand` and `scaleLinear` position the bars and axes. The data loads via D3's `csv` from a GitHub source, and each bar includes a native SVG `<title>` tooltip.