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question 4

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SSreeKohaliPatel@my.unt.edu
Last edited Apr 15, 2024
Created on Apr 15, 2024
Forked from Activity 7

This bar chart displays the 2020 population estimates for the 30 most populous countries. Population values are loaded from a remote CSV file using D3’s `csv` function, then rendered as SVG rectangles positioned by `scaleBand` for countries and `scaleLinear` for population. Both axes are drawn from reusable React components, with tick formatting converting large numbers into abbreviated ‘B’ for billions.

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A demonstration of how to start using D3 version 6.

MIT Licensed

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question 4

This bar chart displays the 2020 population estimates for the 30 most populous countries. Population values are loaded from a remote CSV file using D3’s `csv` function, then rendered as SVG rectangles positioned by `scaleBand` for countries and `scaleLinear` for population. Both axes are drawn from reusable React components, with tick formatting converting large numbers into abbreviated ‘B’ for billions.

SSreeKohaliPatel@my.unt.edu
100% match
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Fork of Question 4

This visualization shows the population of 30 countries in 2020 as a horizontal bar chart. Each bar represents a country, with its length proportional to population. The chart uses a React component structure, with D3's `scaleBand` for the categorical y-axis and `scaleLinear` for the quantitative x-axis. Data is loaded from a remote CSV file using D3's `csv` function, formatted with `format('.2s')`, and rendered as SVG rectangles. Tooltips display the exact population values.

SSreeKohaliPatel@my.unt.edu
90% match
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Question 2

This bar chart visualizes the population of 20 countries in 2010, sourced from a CSV file. The chart uses React with SVG rendering, leveraging D3 v5 APIs like `scaleBand` and `scaleLinear` for positioning. Horizontal bars are drawn with `rect` elements, with axes generated by custom components using D3’s `ticks` method. Population values are formatted with `d3.format`, converting values to billions, and a native SVG `<title>` element provides tooltips on hover.

GGangumalla Ruchitha Reddy
89% match
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Question 1 part 2

This bar chart displays the population of 20 countries in 2010, with countries listed on the vertical axis and population values on the horizontal axis. The visualization uses React components to render SVG elements, with d3.scaleBand and d3.scaleLinear for positioning and scaling. Data is loaded asynchronously from a CSV file via d3.csv, and tick formatting converts large numbers using d3.format. The bars include native SVG title elements for tooltips showing the exact population values.

Aasheshpinisetti@my.unt.edu
89% match
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Activity6_Question2

This bar chart displays the population of 20 countries in 2020, with countries listed along the vertical axis and population values extending horizontally. The visualization uses React components to render SVG rects, with D3 v5’s `scaleBand` and `scaleLinear` handling the axes and data mapping. Population values are read from a remote CSV file using D3’s `csv` function, and formatted with `format('.2s')` to display values in billions. The chart includes axis labels and tooltips showing the exact population for each bar.

Nneerajreddyaluka@gmail.com
88% match
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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
88% match
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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
88% match
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question2

This example displays a horizontal bar chart comparing the populations of 20 countries in 2010, using React to render SVG elements. The code imports `scaleBand`, `scaleLinear`, and `max` from d3 to position bars and axes, with custom `AxisBottom`, `AxisLeft`, and `Marks` components. Population values are parsed from a remote CSV file using d3’s `csv` function and formatted with `.2s` notation (displaying billions as “B”). Bars are drawn as SVG rectangles with tooltips showing formatted values, and axes use blue tick lines and gray text.

Vvinaykollapudi@my.unt.edu
88% match