Skip to main content
SimilarExport ZIP
100%

Final Presentation

✓ Published0🌍 Public
Kkotha.shiva@btech.christuniversity.in
Last edited Jul 16, 2024
Created on Jul 16, 2024
Forked from HTML Starter

This bar chart visualization displays the number of meets for each country, using data fetched from a GitHub-hosted CSV file. The chart presents the data as a sorted bar chart, with countries on the x-axis and meet counts on the y-axis. It uses D3.js v7 APIs including `d3.csv`, `d3.rollup`, `d3.scaleBand`, `d3.scaleLinear`, and `d3.scaleOrdinal` to process data and render the SVG visualization. Interactive tooltips appear on mouseover to display the country name and meet count for each bar.

AI-generated description

A bare minimum HTML page demonstrating use of CSS and JavaScript.

See also React Starter.

MIT Licensed

Similar vizzes

Loading thumbnail…

FP_Viz_2

This line chart visualizes the number of meets held each year, with data sourced from a CSV file fetched from a GitHub repository. The chart displays a steelblue line connecting data points, with interactive tooltips revealing the exact year and meet count on hover. The visualization is built using D3.js v7, utilizing `d3.scaleTime`, `d3.scaleLinear`, `d3.axisBottom`, and `d3.axisLeft` to construct the axes, while `d3.line` generates the path and `d3.rollup` aggregates the data by year. The SVG rendering includes circular marks for each data point and styled text labels for the axes.

Kkotha.shiva@btech.christuniversity.in
76% 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
75% match
Loading thumbnail…

Activity 7

This interactive bar chart displays the populations of 20 countries from 2010, presented as horizontal bars ordered by country name. Built with React and D3 v5, the visualization uses SVG rendering with `scaleBand` for the categorical y-axis and `scaleLinear` for the continuous x-axis. The chart loads data from a remote CSV file and formats tick labels using D3's `format` function, converting values like "1.2G" to "1.2B" for readability.

Ssairamisetti3829@gmail.com
75% match
Loading thumbnail…

D3.js

A bar chart displays population counts for ten countries, using horizontal bars to compare values from a CSV dataset. The visualization renders as an SVG element with a light gray background, where bar lengths correspond to population magnitudes via a linear scale. Built with React and D3 v5, the code uses `d3.csv` to load data, `d3.max` for domain calculation, and SVG `rect` elements styled with steelblue fills. The y-axis positions are mapped using `d3.scaleBand`, though no axis labels or tick marks are rendered in the final output.

Aaizazhussain234
75% match
Loading thumbnail…

Activity 7

A horizontal bar chart displays the populations of 20 countries for 2020, ranked by country name on the y-axis and population magnitude on the x-axis. Built with React and D3 v5, the visualization uses `scaleBand` for the categorical axis and `scaleLinear` for population values, with SVG `<rect>` elements rendering the bars. Data is loaded asynchronously via `d3.csv` from a GitHub-hosted CSV file, and axis ticks are formatted using `d3.format` to abbreviate large numbers (e.g., converting Giga to Billions). The code includes custom `AxisBottom` and `AxisLeft` components that generate SVG tick marks and labels.

HHarshiiiiiiiip
75% match
Loading thumbnail…

Activity 7

This bar chart shows the populations of 30 countries for 2020, sorted by country name. Built with React and D3 v5, it uses `scaleBand` and `scaleLinear` to map country names and population values to SVG rectangles. Data is loaded via `csv` from a GitHub dataset, with axes rendered through custom React components and formatted using D3’s `format` function.

Sshivasaikumart@gmail.com
75% match
Loading thumbnail…

Activity 7

This visualization presents a horizontal bar chart ranking the populations of 20 countries in 2020, from largest to smallest. The data is loaded from a remote CSV file and rendered as an SVG using the React framework with D3 version 5. The code uses D3's `scaleBand` and `scaleLinear` functions to map country names and population values to the chart's axes, with `format` for tick labels. Interactive tooltips, generated from the `Marks` component, display each bar's value on hover.

SSharankumar02
75% match
Loading thumbnail…

Fork of Fork of ICE-6: Rendering Marks and Channels with React & D3

This bar chart displays the top 10 most populous countries from a 2019 CSV dataset, using horizontal bars to compare population sizes. Built with React and D3 v5, the visualization renders SVG marks and channels, with x and y scales created via `d3.scaleLinear` and `d3.scaleBand`. The code loads data using `d3.csv`, maps population values, and generates SVG rectangles, axis ticks, and labels through React components, supported by `d3.axisLeft` and `d3.axisBottom` for coordinate reference.

SSheshidharreddy
75% match