Activity 6_Question 2

Activity 6_Question 2

100% match

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

Nneerajreddyaluka@gmail.com

Activity6_Question1.2

This example shows a horizontal bar chart comparing the 2020 populations of twenty countries, ranked in descending order. The visualization uses React to render SVG elements, with D3 v5 (d3.scaleBand, d3.scaleLinear, d3.csv, d3.format) handling data loading and scaling. Bars are drawn as rectangles, with axis components for bottom and left labels, and a tooltip showing abbreviated population values. The dataset is fetched from a remote CSV file and processed to convert population figures to absolute numbers.

95% match

Activity 6_Question 1-1.2

This visualization displays the populations of 20 countries in 2020 as a horizontal bar chart. It uses React to render SVG elements through helper components for axes and marks. D3’s scaleBand and scaleLinear map country names and population values, while csv from d3 fetches the dataset from a GitHub repository. Bars use a tooltip via the title element, and the x-axis labels are formatted with d3.format to abbreviate values.

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.

Fork of Activity 6_Question 2

This example presents a horizontal bar chart of population figures for 20 countries in 2020, arranged from top to bottom by country name. The chart uses React components to render SVG elements, with D3 v5’s `scaleBand` and `scaleLinear` for positioning bars and `format` to abbreviate axis tick labels. Data is loaded from a remote CSV using D3’s `csv` function, with population values computed by multiplying the 2010 column by 1000. Bars include a native SVG `<title>` tooltip showing the formatted population value.

Aanusha.chilkamarri26@gmail.com

Activity 6_Question 1

A horizontal bar chart displays the populations of the top ten countries in 2020, ranked by country name. The chart uses D3 v5 scales, including `scaleBand` for the categorical y-axis and `scaleLinear` for the quantitative x-axis, with values formatted to billions using `d3.format`. React renders the SVG elements, while D3’s `csv` loads and parses the population data from a GitHub-hosted CSV file. Each bar includes a native SVG `<title>` element for tooltips.

Activity6_Question1.2

This horizontal bar chart displays the population of 20 countries in 2010, sorted with the largest population at the top of the chart. The visualization uses React components to render SVG elements and D3 v5 APIs, including `scaleBand` for the categorical y-axis and `scaleLinear` for the continuous x-axis. Data is loaded asynchronously from a CSV file using D3’s `csv` function, with population values converted from the raw 2010 column. Marks are rendered as rectangles whose widths are proportional to population values, with tooltips formatted using D3’s `format`.

AAftab Hussain