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Question 2

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Jjaideeptripurani12@gmail.com
Last edited Apr 15, 2024
Created on Apr 15, 2024
Forked from Question 2

A horizontal bar chart displays population change for ten countries from 1950 to 2020, with each row representing a year and bar length scaled to population. The chart uses D3 v7’s `scaleBand` for the year axis, `scaleLinear` for population, and `scaleOrdinal` with `schemeCategory10` for country colors. Interactive tooltips appear on mouseover, showing the exact year and population value. Data comes from a local CSV file loaded and parsed by D3.

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

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Question 2

This example presents a horizontal bar chart of population trends for multiple countries from 1950 to 2020. It shows how each country’s population grows over time, with bars grouped by year and colored by country. The visualization is rendered as an SVG using D3.js, with data loaded from a CSV file. It uses d3.scaleLinear, d3.scaleBand, d3.axisBottom, and d3.axisLeft, plus a custom tooltip for interacting with individual bars.

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question 1

A horizontal bar chart displays the population of ten countries in the year 2000, sorted by name. Built with React and D3 v5, it uses `d3.scaleBand` for the categorical axis and `d3.scaleLinear` for the quantitative axis, rendering SVG rectangles. Population values from a CSV file are formatted with `d3.format` and displayed via `d3.scaleLinear` ticks.

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Question1.1

This horizontal bar chart displays the population of ten countries in the year 2000, with each bar’s length encoding population size. The visualization uses D3 v7 with SVG rendering, employing `d3.scaleLinear` for the x-axis, `d3.scaleBand` for the categorical y-axis, and `d3.axisBottom` and `d3.axisLeft` for ticks. Data is loaded asynchronously from a CSV via `d3.csv` and filtered to the top ten rows.

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Question 1.1

A horizontal bar chart displays the population of ten countries in the year 2000, using green bars sorted alphabetically by country name. The visualization is built with React and D3 v5, employing `scaleBand` for the categorical y-axis and `scaleLinear` for the quantitative x-axis. Data is loaded from a remote CSV file via `d3.csv`, with population values multiplied by 1000. SVG rendering includes custom `AxisBottom` and `AxisLeft` components, while tooltips show formatted values using D3's `format` function.

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Activity6Question2

This example displays population changes for several countries from 1950 to 2020 using a horizontal bar chart. Each country is assigned a distinct color, and bars extend horizontally to represent population values for each year, with years arranged vertically. The visualization loads D3 v7 via UNPKG, uses `d3.scaleOrdinal` for color assignment, `d3.scaleBand` and `d3.scaleLinear` for axes, and `d3.axisBottom` and `d3.axisLeft` for tick marks. Mouse interactions update a tooltip showing the exact year and population. The underlying data comes from a CSV file containing country names, codes, and yearly population figures.

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A horizontal bar chart displays the population of ten countries in the year 2000, sorted alphabetically by country name. Built with React and D3 v5, the visualization uses `scaleBand` for the y-axis and `scaleLinear` for the x-axis, rendering bars as SVG rectangles. Data is loaded via `d3.csv` from a GitHub gist, with tick labels formatted using `d3.format`.

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Question 1.1

A horizontal bar chart displays the 2010 populations of twenty countries, loaded from a remote CSV with D3's `csv` function. React renders SVG rects for data marks, with a linear scale mapping population to bar width and a band scale mapping country names to vertical positions. D3's `format` function abbreviates tick labels, replacing 'G' with 'B' for billions in the bottom axis. Mouseover tooltips, created with SVG `<title>` elements, show the formatted population values.

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