Assignment 2 Question 1

100%

Assignment 2 Question 1

✓ Published0🌍 Public

Last edited Jul 12, 2023

Created on Jul 11, 2023

This bar chart displays the populations of 20 cities in 1954, ordered vertically by city name. The visualization uses React with D3 v5, employing scaleBand for the categorical y-axis and scaleLinear for the numeric x-axis. Data is loaded via d3.csv from a GitHub gist, with population values converted from a string to a number. The SVG rendering includes custom axis components and rectangle marks with tooltips formatted using d3.format.

AI-generated description

A demonstration of how to start using D3 version 6.

MIT Licensed

Similar vizzes

Loading thumbnail…

Assignment2

This interactive bar chart displays the population of the top 20 countries in 2020, using horizontal bars sorted by country name. Built with React and D3 v5, it renders SVG elements through custom components like AxisBottom, AxisLeft, and Marks, which map data to bar widths via d3.scaleLinear and d3.scaleBand. Population values are formatted with d3.format, and CSV data is loaded asynchronously using d3.csv, with a tooltip showing the formatted population figure.

HHemanthh81

84% match

Loading thumbnail…

Fork of Fork of Assignment2_Question

This example shows a horizontal bar chart ranking five countries by their 2020 population, with country names on the y-axis and population values on the x-axis. The visualization uses React to render SVG elements, with D3 v5 scales (scaleBand, scaleLinear) and formatting via d3.format to display values in billions. Data is loaded asynchronously from a remote CSV using d3.csv, and each bar includes a native SVG title element for hover tooltips. The chart includes styled axes with blue tick lines and labels.

Bbogasamudramvamsikrishnareddy

83% match

Loading thumbnail…

Activity 7 Task 1

This bar chart displays the population of twenty countries for the year 2020, with countries listed on the vertical axis and population values on the horizontal axis. Built with React and D3 v5, the visualization uses `scaleBand` for the categorical y-axis and `scaleLinear` for the numeric x-axis, rendering orange rectangles as marks via SVG. Data is loaded from a remote CSV file using D3’s `csv` function, and axis ticks are customized with a format that converts values to billions. The chart includes blue tick lines and a labeled x-axis for population.

AArun Pratap

82% match

Loading thumbnail…

Activity 7 Task 1

A horizontal bar chart displays 2020 population estimates for ten countries, with bars extending rightward from a shared origin. The visualization uses React to render SVG elements, while D3 v5 provides scaleBand for the categorical y-axis, scaleLinear for the quantitative x-axis, and tick formatting via d3.format. The chart loads CSV data from GitHub using d3.csv, and includes blue axis ticks, orange bars, and tooltips showing formatted population values on hover.

MmNamratha25

82% match

Loading thumbnail…

Bar chart #1 draft Rendering Data with React & D3

A draft bar chart displays the 20 largest U.S. cities by estimated 2020 population, with each rectangle’s height scaled linearly from zero to the maximum value. The data, loaded via `d3.csv` from a remote CSV file, is processed in React using the `useState` and `useEffect` hooks. Rendering uses React elements to create SVG `<rect>` shapes, while `d3.scaleBand` positions the bars horizontally and `d3.scaleLinear` maps population counts to pixel heights. The chart is intended as an early iteration, with the visualization gallery showing the integration of React for declarative SVG output alongside D3 utilities for data loading and scaling.

DDean Bozic

81% match

Loading thumbnail…

Activity 7 Task1

This bar chart displays the population of 20 countries in 2020, sorted by country name on the y-axis with horizontal bars extending to represent population values. The visualization uses React with D3 v5’s `scaleBand` and `scaleLinear` to map data, rendering SVG rectangles via custom React components. The data is loaded from a CSV file using D3’s `csv` method, formatted with `format` to abbreviate large numbers, and includes axis labels and tooltips showing the population value.

Hharipriyaa07

81% match

Loading thumbnail…

Activity 7 - Task 1

This visualization shows a horizontal bar chart comparing the populations of ten countries in 2010, using green bars sorted by country name on the y-axis. The chart is built with React and D3 v5, using `scaleBand` for the categorical y-axis, `scaleLinear` for the numeric x-axis, and SVG `rect` elements for bars. CSV data is loaded via `useData` with `d3.csv`, while custom `AxisBottom` and `AxisLeft` components render ticks and labels. Population values are formatted with `d3.format` and tooltips appear on hover via SVG `title` elements.

VVinay Vemuri

81% match

Loading thumbnail…

activity 7_Task 1

This horizontal bar chart displays the populations of twenty countries for the year 2020, using data loaded from a CSV file via d3.csv. The visualization employs React components to render an SVG, with d3.scaleBand for country categories on the y-axis and d3.scaleLinear for population values on the x-axis. D3’s format function converts large numbers into abbreviated labels (e.g., “B” for billions). The chart includes blue tick lines, green rectangular marks, and a labeled x-axis, with hover tooltips provided through SVG title elements.

Aaniteshterala2000

80% match