Activity 6_Question 1-1.2

Activity 6_Question1 1.2

A horizontal bar chart displays the population of 20 countries in 2020, with each bar’s length proportional to its population value and country names listed along the vertical axis. The visualization uses React to render SVG elements, with D3 v5’s `scaleBand` and `scaleLinear` functions handling positioning. Population values are formatted in billions using `d3.format`, while the underlying data is loaded from a CSV file via `d3.csv`. The chart includes styled axes with blue tick lines and green bars, and hover tooltips show the precise formatted population values.

96% match

Activity6_Question1.2

This visualization displays the populations of 20 countries in 2010 as horizontal bars, with country names on the y-axis and population values on the x-axis. The bar chart uses React components to render SVG elements, with d3.scaleBand for the categorical y-axis and d3.scaleLinear for the quantitative x-axis. Data is loaded asynchronously from a CSV file using d3.csv, and formatted with d3.format to show values in billions. The bars include native SVG `<title>` tooltips for exact values.

SSai Praveen Lokavarapu

95% match

Activity6_Question1.2

This visualization displays the populations of 20 countries in 2010 as horizontal bars, using a bar chart format. D3 v5 scale functions, including `scaleBand` and `scaleLinear`, map country names and population values to SVG coordinates, while React components render the axes and marks. The chart sorts data from a CSV file, formats population values with the `format('.2s')` API, and includes a tooltip via SVG `<title>` elements, showing the underlying data source and rendering pipeline.

Ccherrylmarym@gmail.com

95% match

Activity 6_Question 2

A horizontal bar chart displays the 2020 population estimates for 20 countries, ranked from largest population at the top to smallest at the bottom. The visualization uses React with D3 v5 utilities like `scaleBand` and `scaleLinear` to map country names and population values to SVG rectangles. Data is loaded from a remote CSV file via `d3.csv`, and each bar includes a tooltip showing its formatted population value. The chart is rendered as an SVG with labeled axes, including a formatted x-axis displaying values in billions.

Activity 6_Question 2

Activity 6_Question1 1.2

This visualization displays a horizontal bar chart of the 2020 populations for the top 20 countries. The bars are ordered by country name along the y-axis, with population values extending along the x-axis using a scaleLinear range. The code relies on React hooks, D3 v5 scales (scaleBand and scaleLinear), and SVG rendering in JSX. Data is loaded from a remote CSV file via d3.csv, with tick formatting using d3.format to abbreviate large numbers.

HHarshathBudida@my.unt.edu

Activity-6_Question-1.2

This example displays a horizontal bar chart of population data for 20 countries in 2010, with country names on the y-axis and population values on the x-axis. The visualization is rendered as SVG within a React application, using D3 scaleBand and scaleLinear to map data to positions, and custom React components (AxisBottom, AxisLeft, Marks) to draw axes and bars. Data is loaded asynchronously via the d3.csv function from a GitHub-hosted CSV file, with population values formatted using the d3 format function and converted to billions for tick labels.

Activity 6 question 1_2

This bar chart displays the population of 20 countries in 2010, using horizontal bars ordered by country name. The visualization loads CSV data from GitHub via `d3.csv` and renders as an SVG using React components (AxisBottom, AxisLeft, Marks) with scales from `d3.scaleBand` and `d3.scaleLinear`. The x-axis uses `d3.format` to abbreviate population values (e.g., converting gigabytes to billions). Hovering over each bar reveals the exact population through an SVG `<title>` tooltip.

AAamani Chamarthi