Skip to main content
SimilarExport ZIP
100%

Activity8_Tutorial

✓ Published0🌍 Public
Aanusharamana0@gmail.com
Last edited Apr 15, 2024
Created on Apr 15, 2024
Forked from Activity 7

This interactive bar chart visualizes the population of 30 countries for 2020, as loaded from a CSV file. Built with React and D3 version 5, the visualization uses an SVG canvas and employs `scaleBand` for the categorical y-axis and `scaleLinear` for the numeric x-axis. The code defines separate components for the axes and data marks, using D3's `format` function to generate tick labels and highlighting each bar with a tooltip on hover.

AI-generated description

A demonstration of how to start using D3 version 6.

MIT Licensed

Similar vizzes

Loading thumbnail…

Activity6_Tutorial1

This bar chart displays the 2020 populations of 30 countries, sorted by country name along the vertical axis with population values extending horizontally. Built with React and D3 v5, it uses `scaleBand` for the categorical y-axis and `scaleLinear` for the numeric x-axis, rendering SVG rectangles for each bar. The data is loaded as CSV via `d3.csv` from a GitHub repository, with axis ticks formatted using `d3.format`. Tooltips show exact population values on hover, and tick lines are styled blue with a light green bar fill.

Kkandooriabhiram@gmail.com
93% match
Loading thumbnail…

Activity6_tutorial1

This bar chart displays the 2020 population of 30 countries, sorted alphabetically, using horizontal bars encoded by population size. It is built with React and D3 v5, using `scaleLinear` and `scaleBand` to map population values to bar widths and countries to row positions. Axes, tick labels, and rectangles are rendered as SVG elements, with a native SVG `<title>` element providing tooltips. Population data is loaded from a CSV file hosted on GitHub, with values formatted using D3's `format` function.

HHarshithakodakandla@my.unt.edu
92% match
Loading thumbnail…

Activity6_tutorial_1

This example displays a horizontal bar chart of population data for 30 countries from the year 2020, using a D3 CSV load and React rendering to SVG. The chart encodes country names on the y-axis and population values on the x-axis, with bars colored green and blue tick marks. The code imports `csv`, `scaleBand`, `scaleLinear`, `max`, and `format` from D3, and uses React.js to manage the data-fetching state and render the visualization. Tooltips on each bar show the population value using a SI format that abbreviates large numbers.

11810vineeth@gmail.com
91% match
Loading thumbnail…

Tutorial 1 Activity6

This bar chart displays the populations of 30 countries in 2020, ordered along a vertical band scale with horizontal bars extending from a linear population scale. The visualization is built with React and rendered as SVG using d3.v5 utilities including `scaleBand`, `scaleLinear`, and `format` for tick labels. Data is loaded asynchronously from a CSV file via d3's `csv` function. Light green bars include native SVG tooltips showing the formatted population value, while blue axis ticks and a labeled x-axis highlight the quantitative scale.

Mmaheshsachin1234@gmail.com
91% match
Loading thumbnail…

Activity 6 Tutorial 1

This example presents a horizontal bar chart showing the 2020 population for 30 countries. The visualization uses D3 v5 for data loading and scaling, with React components for rendering each SVG element. D3’s `scaleBand` and `scaleLinear` map country names and population values to pixel positions, while custom `AxisBottom`, `AxisLeft`, and `Marks` components generate the tick marks and bar rectangles. The data is fetched from a CSV file using D3’s `csv` function, and tooltips display formatted population values.

BBamanGayathri
91% match
Loading thumbnail…

Activity8tutorial1

A horizontal bar chart displays population estimates for 30 countries in 2020, sourced from a CSV file loaded via `d3.csv`. The React-based visualization uses `d3.scaleBand` for the categorical y-axis and `d3.scaleLinear` for the numeric x-axis, with SVG rectangles rendered by the `Marks` component. Axes are built with custom `AxisBottom` and `AxisLeft` components, and tooltips use the native SVG `<title>` element. The x-axis labels are formatted using `d3.format` to abbreviate large numbers, converting 'G' to 'B' for billions.

BBindumadhavi
91% match
Loading thumbnail…

Activity6_tutorial-1

This example displays a horizontal bar chart comparing the 2020 populations of 30 countries, with each bar’s length representing population size and a green fill for visual distinction. The visualization is built with React and D3 v5, using `scaleBand` for categorical y-axis placement and `scaleLinear` for the numeric x-axis. The chart is rendered as an SVG, with axes drawn via custom components (`AxisBottom`, `AxisLeft`) and data loaded from a remote CSV file via D3’s `csv` function.

Ddaneeshchowdary18@gmail.com
91% match
Loading thumbnail…

Activity6_tutorial-1

This visualization displays the top 30 countries by 2020 population using a horizontal bar chart rendered with SVG in a React application. The bars are populated from a CSV dataset, with population values formatted in billions using D3’s `format`. The chart uses `scaleBand` for the categorical country axis, `scaleLinear` for the quantitative population scale, and custom React components for the axes and marks. The code imports `csv`, `scaleBand`, and `scaleLinear` from d3.v5, while tooltips appear via SVG `<title>` elements on each rectangle.

Aamulyareddykondru01@gmail.com
91% match