Skip to main content
SimilarExport ZIP
100%

Activity6_Task1_Question2

✓ Published1🌍 Public
Hharshabandi3060@gmail.com
Last edited Oct 22, 2024
Created on Oct 22, 2024
Forked from Hello VizHub

A horizontal bar chart ranks the populations of 20 countries in 2020, using D3 v5 within a React component. The visualization encodes population values as bar lengths along a linear scale, with country names on a band scale for the y-axis. SVG rendering displays the bars, while D3's `scaleLinear` and `scaleBand` manage the axes. The bottom axis is formatted using D3's `format` with a `.2s` specifier to abbreviate values, and the data is loaded as CSV from a GitHub repository.

AI-generated description
MIT Licensed

Similar vizzes

Loading thumbnail…

Activity6_Task1_Question1

This example shows a horizontal bar chart ranking the populations of ten countries for the year 2020, using data loaded from a CSV file hosted on GitHub. The visualization uses React and D3 v5, with `scaleBand` for the categorical y-axis, `scaleLinear` for the quantitative x-axis, and SVG `<rect>` elements drawn via `Marks`. Axes are rendered with custom `AxisBottom` and `AxisLeft` components, while tick labels use D3’s `format` with `.2s` notation to abbreviate values to billions. The chart displays “POPULATION-2020” as its axis label.

Hharshabandi3060@gmail.com
94% match
Loading thumbnail…

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.

Nneerajreddyaluka@gmail.com
93% match
Loading thumbnail…

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.

HHarshita Vairagade
93% match
Loading thumbnail…

Activity6_Task1_Question1.2

This visualization displays the population of 20 countries in 2010 using a horizontal bar chart. The length of each green bar encodes the population value, with the country names listed along the vertical axis and a formatted numeric axis along the bottom. Built with React and D3 v5, the chart scales the data with `d3.scaleLinear` and `d3.scaleBand`, renders marks as SVG rectangles, and formats tick labels using a custom `format('.2s')` function that converts values to billions. The dataset is loaded asynchronously from a GitHub-hosted CSV file via D3’s `csv` function.

Hharshabandi3060@gmail.com
93% match
Loading thumbnail…

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.

HHarshita Vairagade
93% match
Loading thumbnail…

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.

HHarshita Vairagade
93% match
Loading thumbnail…

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
93% match
Loading thumbnail…

Activity 6_Task 1_ Question 1

This example shows a horizontal bar chart of population figures for 30 countries in 2020, ranked with country names on the y-axis and population values on the x-axis. The visualization uses React components to render SVG elements, with D3 v5’s `scaleBand` and `scaleLinear` for positioning and the `format` function to abbreviate tick labels (e.g., “1.2B”). Data is loaded asynchronously from a CSV file using D3’s `csv` method, and each bar includes a tooltip via the SVG `<title>` element.

Ccraftinghermit@gmail.com
93% match