Skip to main content
SimilarExport ZIP
100%

Activity6_Task1

✓ Published3🌍 Public
Kkandooriabhiram@gmail.com
Last edited Mar 30, 2025
Created on Mar 30, 2025
Forked from Hello VizHub

This bar chart displays the 2010 population estimates for 20 countries, ranked vertically by country name. Data is loaded from a remote CSV file and rendered as SVG rectangles using React. The visualization uses D3 v6 scales (`scaleBand` and `scaleLinear`) along with custom `AxisBottom` and `AxisLeft` React components. Axes are formatted with D3's `format` function to abbreviate large population values, and tooltips show the same formatted values on hover.

AI-generated description

A demonstration of how to start using D3 version 6.

<iframe width="560" height="315" src="https://www.youtube.com/embed/Ia_DwVMXwgk" frameborder="0" allow="accelerometer; autoplay; encrypted-media; gyroscope; picture-in-picture" allowfullscreen></ifram
MIT Licensed

Similar vizzes

Loading thumbnail…

Activity6_Task1

This bar chart visualizes the 2020 population estimates for the top 30 countries, sorted by country name. The horizontal bars are rendered as SVG rectangles using React, with the D3 library's `scaleBand` and `scaleLinear` functions handling the axis mappings. Data is loaded from a remote CSV file via the `d3.csv` function, and axis ticks and labels are generated with custom React components. The chart includes a fixed color scheme and a tooltip that displays the formatted population value.

LLakshmiDeepikaPagadala@my.unt.edu
94% match
Loading thumbnail…

activity6_Task1

This bar chart displays the population of 20 countries in 2010, with countries on the y-axis and population values on the x-axis. The visualization uses React to render SVG elements, with D3 v5 providing scales, margins, and tick formatting via `scaleBand`, `scaleLinear`, and `format`. Data is loaded as CSV from a GitHub repository and converted to numeric population values. Axes and marks are built as React components, with bars colored green and a hover tooltip showing the formatted population value.

Sshivasaiamaravadi@gmail.com
94% match
Loading thumbnail…

Activity6_Task 1

A horizontal bar chart displays 2020 population estimates for 30 countries, ranked by country name on the y-axis and population on the x-axis. The visualization uses SVG rendering within a React component, with D3 v5 scale functions (`scaleBand`, `scaleLinear`) for positioning, and custom `AxisBottom` and `AxisLeft` components for ticks. Data loads asynchronously from a CSV file via `d3.csv` and formats axis labels using `d3.format`. Each bar includes a native SVG `<title>` tooltip showing the formatted population value.

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

Activity 6_Task 1

This bar chart visualizes the 2020 population estimates for 30 countries, sorted by country name on the y-axis and population on the x-axis. The visualization uses React with D3 v5, leveraging `scaleBand` and `scaleLinear` for positioning, while `AxisBottom` and `AxisLeft` render tick marks and labels. Data is loaded via `d3.csv` from a GitHub gist, with population values converted from the raw CSV. SVG rectangles represent each country, with hover tooltips showing formatted population values in billions.

Mmeenam1106@gmail.com
94% match
Loading thumbnail…

Activity 6_Task 1

This bar chart displays the 2020 population estimates for thirty countries, using horizontal bars ordered by country name. The visualization relies on D3 version 5's `scaleBand` and `scaleLinear` to map categorical and quantitative data, with React components rendering SVG rectangles. Data is loaded from a remote CSV via D3's `csv` function, and population values are formatted using D3's `format` with SI prefixes, converting values from raw numbers to billions.

Aakankshareddygorla@my.unt.edu
94% match
Loading thumbnail…

Activity 6_Task 1

This horizontal bar chart displays the 2020 population estimates for 30 countries, with bars sorted by country name along the y-axis and population values on the x-axis. The visualization uses React components to render SVG elements, with D3’s scaleBand and scaleLinear handling the spatial mapping and d3.csv loading population data from a GitHub-hosted CSV file. Axis components generate tick marks and labels, while a formatter converts large numbers into abbreviated values like “1.2B” for readability.

Vvikramkotlo9@gmail.com
94% match
Loading thumbnail…

Activity_6(11754343)_Task_1

This bar chart displays the population of 20 countries in 2010, sorted along a vertical band scale with horizontal bars proportional to population values. The visualization is built with React and D3 v5, using `scaleBand` and `scaleLinear` to map country names and population counts to SVG rectangles. Data is loaded asynchronously via D3’s `csv` parser from a GitHub-hosted CSV file, with axis ticks and labels rendered by custom React components. Hovering over a bar reveals its exact population via the SVG `title` element.

HHari Prasanth Penugonda
94% match
Loading thumbnail…

activity6task-1

This bar chart displays the 2020 population estimates for 30 countries, with horizontal bars sorted by country name. The visualization is built with React and D3 v5, using `scaleBand` for the y-axis and `scaleLinear` for the x-axis. Data loads from a CSV via `d3.csv` and renders as SVG `<rect>` elements. The bottom axis formats tick values using `d3.format`, and tooltips show population values on hover.

Ssriharshakondakindi@gmail.com
94% match