Skip to main content
SimilarExport ZIP
100%

Activity_6_question_1.1

✓ Published0🌍 Public
11810vineeth@gmail.com
Last edited Oct 22, 2024
Created on Oct 22, 2024
Forked from Hello VizHub

A horizontal bar chart displays the populations of ten countries in the year 2000, sourced from a CSV file. The visualization uses React with D3 v5, employing `scaleBand` and `scaleLinear` for positioning. SVG rectangles render the bars, with axes generated through custom `AxisBottom` and `AxisLeft` components. The x-axis labels are formatted using D3's `format` function to abbreviate numbers, and each bar includes a native SVG `<title>` element for tooltips.

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_Question1.1

A horizontal bar chart displays the populations of ten countries in the year 2000, with countries listed on the y-axis and population values on the x-axis. The visualization uses React to render SVG elements, with D3 v5 providing the `scaleBand`, `scaleLinear`, and `max` functions for chart construction. Data is loaded via `d3.csv` from a GitHub-hosted CSV file, and each bar shows a hover tooltip with the formatted population count. The bottom axis labels use D3's `format` to convert values from billions to abbreviated strings.

Ddandudivya98@gmail.com
95% match
Loading thumbnail…

activity6_question1

A horizontal bar chart displays the populations of ten countries in the year 2000, sourced from a CSV file and rendered as SVG rectangles with React. D3’s `scaleBand` and `scaleLinear` position bars, while custom `AxisBottom` and `AxisLeft` components generate tick marks and labels using `d3.format`. A title tooltip appears on each bar via an HTML `<title>` element, and the chart applies a green fill with blue axis lines.

Nnishwitha.1032@gmail.com
95% match
Loading thumbnail…

Activity6_question1.1

A horizontal bar chart displays the population of ten countries for the year 2000, ranked by country, with each bar's length proportional to population. The visualization uses React with D3 v5's `scaleBand` and `scaleLinear` to map countries and population values to SVG coordinates. Data is loaded from a CSV via `d3.csv` and filtered to the first ten rows. Native SVG `<title>` elements provide tooltips, while axes are rendered through custom React components that generate ticks and labels.

PPavanKumarRacharla@my.unt.edu
95% match
Loading thumbnail…

Activity6_question1

A horizontal bar chart displays the population of the top ten countries in the year 2000, with bars extending from left to right. The visualization uses D3’s `scaleBand` for the y-axis to position each country and `scaleLinear` for the x-axis to map population values, with axis tick labels formatted using D3’s `format`. Data is loaded from a remote CSV file via `d3.csv`, and the chart is rendered as an SVG with React, with tooltips showing the formatted population for each bar.

VVrushikaKanaparthy@my.unt.edu
95% match
Loading thumbnail…

Activity6-Question1-1

This example shows a horizontal bar chart comparing the populations of ten countries in the year 2000, using data loaded from a CSV file. The visualization renders as an SVG within a React app, using D3 v5 APIs like `scaleBand` and `scaleLinear` to position bars and axes. Custom React components—`AxisBottom`, `AxisLeft`, and `Marks`—build the chart, with axis tick lines styled blue and bars filled light green. A native SVG `<title>` element provides tooltips on each bar, and population labels are formatted with `format('.2s')` to display abbreviations like "B" for billions.

Ssowmyaammula.sdv@gmail.com
95% match
Loading thumbnail…

Activity_6_question-1.1

This visualization displays a horizontal bar chart comparing the populations of ten countries in the year 2020, sourced from a CSV file hosted on GitHub. The example demonstrates how to integrate D3 v5 within a React component, using `scaleBand` for the categorical y-axis, `scaleLinear` for the quantitative x-axis, and `format` for axis tick labels (e.g., converting billions to "B"). SVG rectangles render the marks, with tooltips showing precise values via the native `<title>` element.

AAbrarb702@gmail.com
94% match
Loading thumbnail…

Activity 6 Question 1.1

This example shows a horizontal bar chart comparing the populations of ten countries in the year 2000, using a React-based SVG rendering with D3.js v5. The chart displays population values along the x-axis with formatted tick labels (using `d3.format`) and country names on the y-axis using `scaleBand`. Data is loaded asynchronously from a CSV file via `d3.csv`, with population values multiplied by 1000 for display. The visualization includes axis components, light green bars, and tooltips showing formatted values via SVG `<title>` elements.

Aanisha.peddireddy@gmail.com
94% match
Loading thumbnail…

Activity6_Question 1.1

A horizontal bar chart displays the populations of ten countries for the year 2000, sorted by descending value. Built with React and D3 v5, the visualization uses `d3.scaleBand` and `d3.scaleLinear` to map country names and population counts to SVG rectangles and axes. It loads CSV data via `d3.csv` from a remote GitHub repository, with population values scaled from the raw figures. Axis ticks and marks are rendered as SVG elements, with a tooltip showing formatted values using `d3.format`.

MMounishAllam@my.unt.edu
94% match