Skip to main content
SimilarExport ZIP
100%

ACTIVITY8_TASK1

✓ Published0🌍 Public
Aajaykumarakula00@gmail.com
Last edited Apr 14, 2024
Created on Apr 14, 2024

This example displays a horizontal bar chart ranking the 2020 populations of 30 countries, drawn from a CSV file with D3’s `csv` loader. React components render SVG axes (`AxisBottom`, `AxisLeft`) and rectangle marks, with scales mapping population values to bar widths. D3 v5 provides the scale functions and tick formatting, while JSON tooltips on each bar reveal the exact population figure. The chart uses a simple, clean layout with labeled axes to compare relative population sizes across nations.

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

Similar vizzes

Loading thumbnail…

Activity 8 - Task 1

This example shows a horizontal bar chart ranking the 2020 populations of 30 countries, with the largest values extending farthest to the right. Built with React and rendered as SVG, it loads data from a CSV file using the `d3.csv` parser and uses D3 scales (`d3.scaleBand` and `d3.scaleLinear`) to map countries and population counts to positions. Custom axis components draw tick marks and labels, and tooltips formatted with `d3.format` appear on hover over each bar.

SSamir Tarda
92% match
Loading thumbnail…

ACTIVITY8_task1

This example displays a horizontal bar chart of country populations for 2020, with each country labeled on the y-axis and population values on the x-axis. The visualization uses React with D3 v5, employing d3.scaleBand for the categorical axis, d3.scaleLinear for the quantitative axis, and d3.format to abbreviate large numbers (e.g., converting billions to "B"). Data loads asynchronously via a custom useData hook, while custom AxisBottom, AxisLeft, and Marks components render the SVG elements. Styling includes green bars, blue tick lines, and a Poppins font family.

Aajaykumarakula00@gmail.com
92% match
Loading thumbnail…

Activity_6Task_1

This example shows a horizontal bar chart of the populations of 30 countries in 2020, ordered by country name along the y-axis. Each bar’s length encodes the population value, with an axis label reading “POPULATION-2020” and formatted tick values using D3’s `format` function to abbreviate billions as “B”. The visualization uses React components (AxisBottom, AxisLeft, Marks) to render SVG elements, with scales created via `d3.scaleBand` and `d3.scaleLinear`. Data is loaded asynchronously from a remote CSV file using `d3.csv` in the custom `useData` hook, and countries are sliced to the first 30 rows.

AAbrarb702@gmail.com
92% match
Loading thumbnail…

activity 6_Task 1

This example shows a horizontal bar chart comparing the 2020 populations of 30 countries, with bars sorted by population. It renders as an SVG using React and D3 v5, loading data from a CSV file via `d3.csv`. The chart uses `d3.scaleBand` for the categorical y-axis and `d3.scaleLinear` for the quantitative x-axis, with tooltips formatted using `d3.format`. Custom React components (`AxisBottom`, `AxisLeft`, `Marks`) generate the SVG elements.

NNagalakshmi Thota
92% match
Loading thumbnail…

Activity6_Task1

A horizontal bar chart displays the 2020 population for 30 countries, with bars sorted by country name and labeled with a bottom axis using D3's `scaleBand` and `scaleLinear`. The chart is rendered as SVG within a React component, using D3's `format` to abbreviate tick labels (e.g., converting "G" to "B" for billions). Hovering over each bar reveals the exact population value via an SVG `<title>` tooltip. The data is loaded from a remote CSV file using D3's `csv` function.

Aamarnadhkari98@gmail.com
92% 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
92% match
Loading thumbnail…

Activity8_Task-1

This example shows a horizontal bar chart of 2020 population data for 30 countries, with country names on the y-axis and population values on the x-axis, formatted in billions. The chart uses D3’s `scaleBand` for the categorical y-axis and `scaleLinear` for the continuous x-axis, rendered as SVG rectangles via React. Data is loaded from a CSV file using D3’s `csv` parser, and axes are drawn with custom `AxisBottom` and `AxisLeft` components that style tick lines and labels.

HHarika Metta
92% match
Loading thumbnail…

Activity6_task1

This example displays a horizontal bar chart comparing the 2020 populations of 30 countries, using D3 v5 and React to render the visualization as an SVG. The code imports `scaleBand`, `scaleLinear`, `format`, and `csv` from D3 to process the remote CSV data and map each country to a proportional green bar. Custom `AxisBottom`, `AxisLeft`, and `Marks` components generate the axes and rectangles, with tooltips showing formatted population values. The chart includes blue tick lines and labels for the “POPULATION-2020” axis.

Yyadlapallisaisathvik@gmail.com
92% match