Activity_8 Task_1

100%

Activity_8 Task_1

✓ Published1🌍 Public

Last edited Apr 10, 2024

Created on Apr 10, 2024

This visualization shows the 2020 population estimates for 30 countries as a horizontal bar chart, with countries sorted along the y-axis and population values mapped to bar lengths on the x-axis. The chart is built with React, using D3 v5’s `scaleBand` for the categorical y-axis, `scaleLinear` for the numeric x-axis, and custom SVG components (`AxisBottom`, `AxisLeft`, and `Marks`) to render tick labels and rectangles. Population data is loaded asynchronously from a remote CSV file via `d3.csv`, with values formatted in billions using `d3.format`.

AI-generated description

A demonstration of how to start using D3 version 6.

MIT Licensed

Similar vizzes

Loading thumbnail…

Activity6_task 1

This visualization displays the 2020 population estimates for 30 countries as a horizontal bar chart, ranked by country name along the vertical axis and population magnitude along the horizontal axis. The chart is rendered as an SVG using React components, with D3 v5 providing the scale functions (scaleBand, scaleLinear), data loading via csv, and number formatting. The code imports data from a GitHub-hosted CSV file, calculates population values by multiplying the '2020' column by 1000, and includes axis components with custom tick formatting that converts abbreviations like 'G' to 'B'.

Mmaneeshraja47@gmail.com

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 7_Task1

This bar chart displays the 2020 population estimates for 30 countries, using a horizontal layout with country names on the y-axis and population values on the x-axis. The visualization is built with React, rendering SVG elements through D3 v5 scales and components. It uses `scaleBand` for the categorical y-axis, `scaleLinear` for the numeric x-axis, and formats tick labels with D3’s `format` function. Data is loaded asynchronously via `d3.csv` from a GitHub repository, and each bar includes a tooltip showing the precise population value.

HHarshita Vairagade

94% match

Loading thumbnail…

Activity 6_Task 1

This visualization displays the populations of 30 countries for the year 2020 as a horizontal bar chart, with each bar’s length proportional to its population value. The chart is rendered as an SVG using React components, with D3 v5’s `scaleBand` and `scaleLinear` handling the y-axis categories and x-axis scaling respectively. Population values are formatted with D3’s `format('.2s')` to abbreviate large numbers, converting gigabytes to billions for tick labels. The data is loaded via `d3.csv` from a GitHub-hosted CSV file, and axis ticks and bars are styled with custom CSS classes.

Nneerajreddyaluka@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…

Activity6_Task1

This visualization displays the 2020 population figures for 30 countries using a horizontal bar chart. The bars are rendered as SVG rectangles, with each country positioned along the y-axis and bar length proportional to population size along the x-axis. The code uses React components and D3 v5 APIs including `scaleBand`, `scaleLinear`, `max`, and `format` (with `.2s` for SI-prefixed tick labels). Data is loaded asynchronously from a remote CSV file using `d3.csv`, and axes are constructed via custom React components for bottom and left alignment.

SSai Praveen Lokavarapu

94% match

Loading thumbnail…

Activity6_Task1

This example visualizes the 2020 population estimates for 30 countries using a horizontal bar chart rendered as SVG in React. Population values are shown on the x-axis via a linear scale, with countries listed on the y-axis using a band scale. The code employs D3 v5 functions like `csv`, `scaleLinear`, `scaleBand`, and `max` through `useData` to load and process data from a GitHub CSV file. Axis components and bars are built with custom React components, and hover tooltips display formatted population values using the `format` API.

Ssagipavan2385@gmail.com

94% match

Loading thumbnail…

Activity 6_Task 1

This bar chart displays 2020 population estimates for 30 countries, with country names on the y-axis and population on the x-axis. The visualization uses React with D3 v6, employing `scaleBand` and `scaleLinear` for axes, and renders SVG rectangles via the `Marks` component. The data is loaded asynchronously from a CSV file using the `csv` function, with population values multiplied by 1000 and formatted using `format('.2s')` to show values in billions. Native SVG `<title>` elements provide tooltips on hover.

NNithish Karanam

93% match