Skip to main content
SimilarExport ZIP
100%

Task8_Wolfe_Jordan

✓ Published1🌍 Public
Jjordanwolfe2@my.untdallas.edu
Last edited Apr 14, 2024
Created on Apr 14, 2024
Forked from Hello VizHub

This example visualizes the 2020 populations of 30 countries as a horizontal bar chart, with red bars sorted by country name on the y-axis and population on the x-axis. It uses D3’s `scaleBand` and `scaleLinear` to map the categorical and quantitative variables, with axes rendered via custom `AxisBottom` and `AxisLeft` components. The chart is built with React, using the `useData` hook to load a CSV from GitHub, and formatting population values with `d3.format` (converting gigas to billions). SVG rendering includes tooltips showing the formatted population on hover.

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…

Task8_Wolfe_Jordan_Question_1

This example displays a horizontal bar chart of country populations in 2000, sourced from a CSV file, with population values scaled to thousands. Built with React and D3 v5, it uses `scaleBand` for the country axis and `scaleLinear` for population, while custom components render SVG axes and marks. The bars are red with hover tooltips showing formatted values, and the chart includes a "POPULATION-2000" axis label. Data loading uses React hooks with D3's `csv` function, and the code demonstrates local ES6 module imports alongside direct D3 imports.

Jjordanwolfe2@my.untdallas.edu
92% match
Loading thumbnail…

Task8_Wolfe_Jordan_Question_2

This example shows a horizontal bar chart of the top 20 countries by population in 2010, with country names on the y-axis and population values on the x-axis. The visualization uses React to render SVG elements, with d3.scaleBand and d3.scaleLinear for positioning, and d3.csv to load the dataset from a GitHub repository. The bars display a tooltip with the formatted population value on hover, while axes are generated from d3.ticks and formatted using d3.format with a custom suffix replacement.

Jjordanwolfe2@my.untdallas.edu
91% match
Loading thumbnail…

task 8 q1

This example visualizes the 2020 population estimates for 30 countries as a horizontal bar chart. Population values are loaded from a remote CSV file via `d3.csv`, with the y-axis ordered by country name using `d3.scaleBand` and the x-axis scaled linearly with `d3.scaleLinear`. The chart is rendered as SVG in a React app, using local AxisBottom, AxisLeft, and Marks components to draw axes and bars, with tooltips formatted using D3’s `format` function.

Vvchittimadha@gmail.com
86% match
Loading thumbnail…

task8

A horizontal bar chart displays the 2020 population estimates for 30 countries, sorted by country name along the y-axis with population magnitudes encoded as bar lengths on the x-axis. Built with React and D3 v5, the visualization uses d3.scaleBand for the categorical y-axis, d3.scaleLinear for the quantitative x-axis, and SVG rectangles for marks, with tooltips formatted using d3.format. Population data is loaded from a remote CSV file via d3.csv, and custom React components render the axes and marks.

Ssruthimreddy6@gmail.com
85% match
Loading thumbnail…

Task8 Q1 2

This chart displays the 2010 population of 20 countries as a horizontal bar chart, with each bar’s length proportional to population. The SVG is rendered using React, with D3 v5’s `scaleBand` and `scaleLinear` mapping countries and population values. The code fetches CSV data via D3’s `csv` method, formats axis ticks using `d3.format`, and includes tooltips via SVG `<title>` elements. Axes are custom components drawing ticks and labels, with light green bars styled via CSS.

Ssruthimreddy6@gmail.com
85% match
Loading thumbnail…

activity 6_Task 1

This visualization displays a horizontal bar chart of the 2020 population for 30 countries, using a light-green fill for each bar. The chart is built with React and D3 v5, using `scaleBand` for the categorical y-axis and `scaleLinear` for the numeric x-axis. The SVG rendering includes a formatted tooltip on each bar, with tick labels formatted from grams to billions using `format('.2s')`. Data is loaded from a CSV file via the `csv` function, and axes are composed from custom components that generate tick marks and labels.

Rrayavarapulokesh3@gmail.com
84% match
Loading thumbnail…

Task8_Tutorial1

A horizontal bar chart displays the 2020 population estimates for 30 countries, sorted by country name along the y-axis. The visualization uses React to render SVG elements, with D3 v5 handling data loading via `csv`, linear and band scales, and axis tick formatting with `format('.2s')`. Population values are converted from the raw CSV data by multiplying the '2020' column by 1000. The chart includes labeled axes, a green bar fill, and tooltips showing formatted population values on hover.

Jjyothirmaijyothi2017@gmail.com
84% match
Loading thumbnail…

Task8_DataViz

This visualization displays population figures for countries in 2010 using a horizontal bar chart. The chart uses React to render SVG elements, with D3 v5 providing scales and formatting. D3’s `scaleBand` and `scaleLinear` position the bars, while custom `AxisBottom` and `AxisLeft` components create labeled ticks. Data is loaded from a CSV file via D3’s `csv` method, and each bar includes a tooltip showing the formatted population value.

Iikshwakalluri
84% match