Skip to main content
SimilarExport ZIP
100%

harsha activity6que2

✓ Published0🌍 Public
Ssriharshakondakindi@gmail.com
Last edited Apr 3, 2024
Created on Apr 3, 2024
Forked from Hello VizHub

This visualization displays the populations of 20 countries for the year 2010 using a horizontal bar chart. The chart is built with React and D3 v5, using `scaleBand` for the country categories on the y-axis and `scaleLinear` for the population values on the x-axis. Population data is loaded from a CSV file via D3's `csv` function, with values multiplied by 1000. The SVG rendering includes custom axis components and tooltips that format large numbers using D3's `format` function with SI prefixes.

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…

harsha actvity6que1

This bar chart displays the population of ten countries for the year 2000, with countries listed on the y-axis and a formatted horizontal population scale. Built with React and SVG, it uses D3's `scaleBand` for the categorical y-axis and `scaleLinear` for the quantitative x-axis. The `Marks` component renders each bar with a tooltip, while `AxisBottom` and `AxisLeft` generate the tick marks and labels. Population data is loaded from a remote CSV file.

Ssriharshakondakindi@gmail.com
93% match
Loading thumbnail…

harsha activity6

This bar chart shows the top 30 countries by population in 2020. The visualization uses React to render SVG elements and d3-scaleBand for the categorical y-axis and d3-scaleLinear for the quantitative x-axis, with population values formatted from raw data. Data is loaded asynchronously via d3.csv from a GitHub-hosted CSV file. A horizontal bar for each country is created with SVG rect elements, and axis ticks are generated using the scale functions, with tooltips provided through SVG title elements.

Ssriharshakondakindi@gmail.com
93% match
Loading thumbnail…

Activity 7

This visualization displays the population of 20 countries in 2020 as a horizontal bar chart, sorted by country name. Using React with D3 v5, it employs `scaleBand` for the y-axis, `scaleLinear` for the x-axis, and renders SVG rectangles via the `Marks` component. The data is loaded from a remote CSV file using `csv` from D3, with population values calculated by multiplying the 2010 column by 1000. Axis components generate tick lines and labels, while a tooltip appears on hover showing the abbreviated population in billions via `format('.2s')`.

Hharsha
91% match
Loading thumbnail…

Activity-6 Q1.1

This chart shows the populations of ten countries in the year 2000, arranged as a horizontal bar chart with country names on the y-axis and population values on the x-axis. The visualization uses React to render SVG elements, with `d3.scaleBand` for the categorical y-axis and `d3.scaleLinear` for the quantitative x-axis. Population data is loaded and parsed from a CSV file via `d3.csv`, with values scaled and formatted using `d3.format` to display in billions. The bars display a native SVG tooltip showing the formatted population value on hover.

Hharshaps15@gmail.com
89% match
Loading thumbnail…

Activity6_Task1_Question1.2

This visualization displays the population of 20 countries in 2010 using a horizontal bar chart. The length of each green bar encodes the population value, with the country names listed along the vertical axis and a formatted numeric axis along the bottom. Built with React and D3 v5, the chart scales the data with `d3.scaleLinear` and `d3.scaleBand`, renders marks as SVG rectangles, and formats tick labels using a custom `format('.2s')` function that converts values to billions. The dataset is loaded asynchronously from a GitHub-hosted CSV file via D3’s `csv` function.

Hharshabandi3060@gmail.com
89% 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
88% match
Loading thumbnail…

Activity 7

A horizontal bar chart displays the populations of twenty countries in 2020, using D3.js scaleBand and scaleLinear to map country names and population values to SVG rectangles. The React-based visualization reads CSV data from a GitHub repository, formats axis tick labels using D3's format function to abbreviate large numbers, and includes interactive tooltips via SVG `<title>` elements. Axes are rendered with custom React components, with blue tick lines and green bars styled through CSS.

Hharsha
88% match
Loading thumbnail…

Activity-6 Task1

This bar chart displays the 2020 population estimates for 30 countries, ordered by country name along the vertical axis and population magnitude along the horizontal axis. Built with React and D3 v5, the visualization uses SVG rectangles for the bars and custom axes. The `csv()` function loads the data, while `scaleBand()` and `scaleLinear()` map the categorical and continuous values. Hovering over a bar reveals a tooltip with the population formatted in billions via D3's `format()`.

Hharshaps15@gmail.com
88% match