Activity 6 task 1

Activity 6 task 1

100% match

Activity 6

This example visualizes population data for various countries as a horizontal bar chart, using bar length to represent population size. The chart employs D3.js v6 with SVG rendering for drawing the chart elements, axes, and tick labels. It utilizes `scaleLinear` for the x-axis, `scaleBand` for the categorical y-axis, and `format` with custom logic to display large numbers in compact notation (e.g., converting 'G' to 'B'). The data is loaded asynchronously and processed to set domain ranges and render bars with tooltips.

91% match

Activity6 tutorial 1 task 1

This example presents a horizontal bar chart comparing the populations of ten countries in the year 2000. The visualization uses D3 v7 with an SVG rendering approach, employing `d3.scaleLinear` for the x-axis, `d3.scaleBand` for the y-axis, and `d3.axisBottom` and `d3.axisLeft` for the axes. The data is loaded asynchronously from a CSV file using `d3.csv`. Rectangular marks are colored light green, with axis labels formatted to abbreviate large population values.

Nnissisharon61@gmail.com

Vvenkatdinesh5010@gmail.com

Activity6_task1

This horizontal bar chart displays the 2020 populations of 30 countries, with bars sorted by country name along the y-axis and population values along the x-axis. The visualization uses D3 v7 to load CSV data from a GitHub repository, then renders SVG rectangles with a light green fill. The x-axis uses a linear scale with custom tick formatting to abbreviate large numbers (e.g., 200M, 1.2B), while the y-axis employs a band scale to position the country labels. Axis labels are added via the AxisBottom and AxisLeft components.

Activity 6 task 1

This horizontal bar chart ranks the 30 most populous countries in 2020, using population size along the x-axis and country names along the y-axis. The visualization loads CSV data from a GitHub repository via `d3.csv`, processes it with a custom row function, and sorts the entries in descending order. The chart is rendered as an SVG using `d3.select`, `scaleLinear`, and `scaleBand`, with axes generated through `axisBottom` and `axisLeft`. Bars are drawn with `selection.join('rect')` and are styled with a light green fill, while tick labels use a custom si-format prefix converter that replaces 'G' with 'B' for billions.

Activity 6_Task 1

This example displays a horizontal bar chart showing the 2020 population estimates for 30 countries, sourced from a CSV file hosted in a GitHub repository. The chart uses D3 v5 to load and parse the data, as well as to create the scales and tick formatting, which converts values from gigabytes to billions. The visualization is rendered in React, with the bars and axes built using SVG elements and custom components for the bottom and left axes, along with tooltips showing the formatted population values.

RRukmini Devi Y

Hhimavinaytummala@my.unt.edu

Activity 6_Task 1.2

This example renders a horizontal bar chart of 2010 population data for 20 countries, sourced from a CSV file hosted as a GitHub gist. The visualization is built with React and rendered as SVG, using D3 v5 functions such as `scaleBand`, `scaleLinear`, `max`, and `format` for data handling and scaling. Interactive tooltips display the population value for each bar, and the axes are drawn with custom components, with blue tick lines and light green marks.

Activity 6 task 1

This bar chart ranks the top 30 countries by population in 2020, using horizontal bars with population values on the x-axis and country names on the y-axis. The visualization is built with D3.js (v7) and rendered as an SVG, loading data from a CSV file. It uses custom components like `AxisBottom`, `AxisLeft`, and `Marks` to create the axes and bars, with D3's `scaleLinear` and `scaleBand` for data mapping and a custom tick format that converts numbers to billions.