Skip to main content
SimilarExport ZIP
100%

Task 8_Tutorial1

✓ Published1🌍 Public
KKeerthi
Last edited Apr 10, 2024
Created on Apr 10, 2024
Forked from Hello VizHub

This example shows a horizontal bar chart of 2020 population estimates for 30 countries, with each bar’s length proportional to population and a tooltip displaying the value in billions. The visualization is built with React and D3 v5, using `scaleBand` and `scaleLinear` to map country names and population values to screen coordinates. Data is loaded via `d3.csv` from a GitHub repository, axes are rendered as SVG elements with tick marks, and bars are drawn as `rect` elements using the `Marks` component. The chart includes a labeled x-axis and uses a green fill for all bars.

AI-generated description

A demonstration of how to start using D3 version 6.

MIT Licensed

Similar vizzes

Loading thumbnail…

Task 8_Tutorial1

This example shows a horizontal bar chart of 2020 population estimates for 30 countries, with each bar’s length proportional to population and a tooltip displaying the value in billions. The visualization is built with React and D3 v5, using `scaleBand` and `scaleLinear` to map country names and population values to screen coordinates. Data is loaded via `d3.csv` from a GitHub repository, axes are rendered as SVG elements with tick marks, and bars are drawn as `rect` elements using the `Marks` component. The chart includes a labeled x-axis and uses a green fill for all bars.

KKeerthi
100% match
Loading thumbnail…

TASK8_TUTORIAL1

This example shows a horizontal bar chart of 2020 population estimates for 30 countries, rendered with SVG in a React application. D3 v5’s `scaleBand` and `scaleLinear` map country names and population values to the bar positions and lengths, while custom React components draw the axes and marks. The data is loaded as CSV from a GitHub repository, with the population column formatted using D3’s `format` function to appear in billions.

Ttarunskuruvadi@gmail.com
94% 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
93% match
Loading thumbnail…

Task8_Q1

This example shows a bar chart of 2020 population estimates for 30 countries, using horizontal bars sorted by country name on the y-axis and population magnitude on the x-axis. The visualization is built in React with D3 v5’s `scaleBand` and `scaleLinear` for positioning, while SVG `<rect>` elements render the bars. Data loads from a remote CSV via `d3.csv`, with population values converted from thousands. Axis components generate tick marks and labels, and tooltips appear on hover via SVG `<title>` elements.

Sshraehithareddy@gmail.com
93% match
Loading thumbnail…

Task8Tutorial_1

This example shows a horizontal bar chart of 2020 population estimates for 30 countries, with bars colored light green and a blue axis line. The React application loads data from a CSV file using D3’s `csv` function, then renders the visualization as SVG. It uses `scaleBand` for the y-axis country categories and `scaleLinear` for the x-axis population values, with a custom tick format that converts large numbers into billions. Tooltips appear on hover via SVG `<title>` elements, and the axis labels are styled with Poppins font.

Mmanohar varma
93% match
Loading thumbnail…

Tutorial 8 Task1

This example shows a horizontal bar chart of 2020 population estimates for 30 countries, with a green fill, blue axis ticks, and a custom “POPULATION-2020” axis label. It loads data from a remote CSV via `d3.csv` and uses `scaleBand` for the y-axis, `scaleLinear` for the x-axis, and `max` to set the domain. The React components render SVG groups for the bottom and left axes, while each bar’s `<rect>` includes a `<title>` tooltip formatted with `d3.format('.2s')`. D3 v5 is loaded via UNPKG.

Jjaswanthichowdarykalapala@my.unt.edu
92% match
Loading thumbnail…

Task-8(Tutorial 1)

This visualization displays a horizontal bar chart of population figures for 30 countries in 2020, using a custom dataset loaded from a GitHub-hosted CSV file. The React-based example renders with SVG, applying d3’s scaleBand for the categorical y-axis and scaleLinear for the numeric x-axis, with formatted tick labels via the d3.format function. The code demonstrates modular ES6 imports, including local axis and mark components, and applies a Poppins font with blue axis lines and green bars.

Ttallurisaiteja96@gmail.com
92% match
Loading thumbnail…

Task8_Tutorial1_HKK

This visualization displays the 2020 population estimates for 30 countries as a horizontal bar chart, with countries sorted along the y-axis and population values on the x-axis. Built with React and D3 v5, it leverages `d3.scaleBand` and `d3.scaleLinear` for positioning, while custom SVG axis components render tick marks and labels. The data is loaded as CSV from GitHub and formatted using D3’s `format` function to abbreviate large numbers.

Hhemanthkakani1999@gmail.com
91% match