Activity6_Question1.2

Activity6_Question 1

This example shows a horizontal bar chart comparing the 2010 populations of 20 countries, with each bar labeled by country name. The visualization uses React to render SVG elements, while D3 v5 provides the `scaleBand` and `scaleLinear` functions for positioning bars, and the `format` function to abbreviate large population values. Data is loaded from a CSV file using D3’s `csv` method, and hover tooltips display the formatted population value for each bar.

JJaiyaGhanta@my.unt.edu

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.

95% match

Activity 6_Question 2

95% match

Nneerajreddyaluka@gmail.com

Activity6_Question2

This bar chart displays the population of 20 countries in 2020, with countries listed along the vertical axis and population values extending horizontally. The visualization uses React components to render SVG rects, with D3 v5’s `scaleBand` and `scaleLinear` handling the axes and data mapping. Population values are read from a remote CSV file using D3’s `csv` function, and formatted with `format('.2s')` to display values in billions. The chart includes axis labels and tooltips showing the exact population for each bar.

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.

Activity6_Question1.2

This horizontal bar chart shows the populations of 20 countries in 2010, sorted by country name. The chart uses React with D3 v5, employing `scaleBand` for the y-axis positioning and `scaleLinear` for the x-axis population values. Data is loaded via `csv` from a GitHub-hosted CSV file, with population values converted from thousands. The visualization renders as SVG, with tick lines styled in blue and bars in green, and includes formatted axis labels using `format('.2s')`.

UUday Vandanapu

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_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.