Activity 6_Question 1.2

100%

Activity 6_Question 1.2

✓ Published0🌍 Public

Last edited Oct 25, 2024

Created on Oct 25, 2024

This example displays a horizontal bar chart of population data for 20 countries in 2010, using React with SVG rendering. The visualization imports D3 v5 modules for data loading and scales: `scaleBand` positions country categories along the y-axis, while `scaleLinear` maps population values to bar widths on the x-axis. CSV data is fetched from a GitHub-hosted dataset and formatted using D3’s `format` function. Axes are custom React components, and each bar includes a native SVG `<title>` element for tooltip support. The styling uses CSS classes for marks and ticks.

AI-generated description

An example showing the capabilities of VizHub:

Loads D3 via UNPKG.
Demonstrates use of import from "d3".
Demonstrates use of import from local ES6 modules.

MIT Licensed

Similar vizzes

Loading thumbnail…

Activity6_Question1.2

This example displays a horizontal bar chart of population data for 20 countries in 2010, with each bar’s length proportional to the country’s population. The visualization uses React components to render SVG elements, with D3 v5’s `scaleBand` and `scaleLinear` handling the y- and x-axis mappings, respectively. Data is loaded via D3’s `csv` method from a GitHub-hosted dataset, and the bars include a native SVG `<title>` element for tooltips. The axes are customized with pink tick lines and a formatted tick label that converts values into billions (e.g., using `format('.2s')`).

Llikhitha.sarahah01@gmail.com

97% match

Loading thumbnail…

Activity-6-Question-1.2

This example displays a horizontal bar chart comparing the populations of 20 countries in 2010, rendered as SVG within a React application. The chart uses D3 scale functions, `scaleBand` for the y-axis and `scaleLinear` for the x-axis, with population values read from a CSV file. Axes are custom components that render ticks and labels, while bars include native SVG tooltips showing formatted population values. The code loads data via `d3.csv` and formats tick labels using `d3.format`.

Nnaveen.dodda4321@gmail.com

96% match

Loading thumbnail…

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.

HHarshathBudida@my.unt.edu

96% match

Loading thumbnail…

Activity_6_Question_1.2

This example displays a horizontal bar chart of population figures for 20 countries in 2010, with countries on the y-axis and population on the x-axis. The code uses React with SVG rendering and D3 v5 APIs including `scaleBand`, `scaleLinear`, and `csv` to load and format the data from a GitHub-hosted CSV file. Blue tick marks and green bars are styled via CSS, while native SVG `<title>` elements provide tooltips. The chart includes rotated country-name labels and formatted population ticks using D3’s `format` specifier.

Vvarshithainaganti@gmail.com

95% match

Loading thumbnail…

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

Loading thumbnail…

Activity_6_Question1.2

This example shows a horizontal population bar chart for 20 countries using 2010 data, with bars colored light green and axes labeled in blue. The visualization uses React to render SVG elements, with D3 v5 APIs including `scaleBand` and `scaleLinear` to map categorical and quantitative data. The `csv` function loads data from a GitHub-hosted CSV file, while custom `AxisBottom` and `AxisLeft` components generate ticks. Each bar includes a native SVG `<title>` tooltip displaying formatted population values using D3's `format` function.

HHarsha vardhan reddy Yarmareddy

95% match

Loading thumbnail…

Activity-8_Question-1.1

This example displays a horizontal bar chart showing population figures for ten countries in the year 2000. The visualization uses React with D3 v5’s `scaleBand` and `scaleLinear` to map country names and population values to the SVG canvas. Bars are rendered as `rect` elements with tooltips, while axes are built from D3’s `format` utility to abbreviate large numbers (e.g., converting gigabytes to billions). Data loads asynchronously from a CSV file via D3’s `csv` function, and the chart includes custom axis styling with blue tick lines and green marks.

Hharipadmavathim2023@gmail.com

94% match

Loading thumbnail…

Activity6_Question1.2

This example shows a bar chart of population sizes for 20 countries in 2010, with each country listed along the y-axis and population values extending horizontally. The visualization is built with React and D3 v5, using `scaleBand` for the categorical axis, `scaleLinear` for the numeric scale, and SVG `rect` elements for the bars. Data is loaded asynchronously via `d3.csv` from a GitHub repository, and axes are rendered with custom components using D3’s tick formatting to abbreviate large numbers.

Ggnitishreddy0245@gmail.com

94% match