JC - Task-7 Q1

JC - Task-7 Q1

100% match

JC-task-7 Q1.2

This bar chart visualizes the 2020 population for the top 20 countries, using SVG rectangles rendered via React. The x-axis displays population with a custom formatter (converting gigabytes to billions), while the y-axis lists country names. The code builds scales with `scaleBand` and `scaleLinear`, imports data from a CSV via `d3.csv`, and structures the visualization using local ES6 modules for axes and marks.

93% match

JC Task-1

This example is a horizontal bar chart that displays the 2020 populations of 30 countries, using the `d3.csv` loader to fetch the data from a GitHub-hosted CSV file and `d3.scaleBand` for the vertical country axis alongside `d3.scaleLinear` for the horizontal population axis. It renders as an SVG via React, with `d3.format` used to abbreviate tick labels (e.g., "G" for billions), and each bar includes a tooltip showing the population value. The chart is built from reusable local components—`AxisBottom`, `AxisLeft`, and `Marks`—each mapping data to SVG `rect` elements and axis lines.

89% match

Task 8 Q1.1

This chart displays the population of the top 10 countries in the year 2000 as a horizontal bar chart, with countries on the y-axis and population values on the x-axis formatted in billions. Built with React and D3 v5, it uses `scaleBand` for the categorical axis, `scaleLinear` for the quantitative axis, and renders SVG rectangles as marks. The data is loaded from a remote CSV file via `d3.csv`, and tooltips appear on each bar via SVG `<title>` elements.

Jjyothikaraj3@gmail.com

88% match

Task8 Q1 1

This visualization displays the populations of ten countries in the year 2000 as horizontal bar charts, sorted by country name along the y-axis. The data is loaded from a CSV file and rendered as SVG rectangles. Using D3 v5 scale functions and React components, the chart formats axis ticks with a custom SI formatter, converting values like "1.2G" to "1.2B". Tooltips on each bar show the formatted population value, and the axes and labels follow a clean, green-on-gray aesthetic.

Ssruthimreddy6@gmail.com

Fork of JC Task-7 Q1

This example displays a horizontal bar chart of population data for 20 countries in 2020. It uses React with SVG rendering, and D3’s `csv`, `scaleBand`, `scaleLinear`, and `max` functions to load and transform the data, and to position the bars and axes. The bars are drawn as SVG rectangles, with a native `<title>` element providing a simple tooltip. Data comes from a CSV file hosted on GitHub.

Ssaibharath7thota@gmail.com

Activity6 Q1.1

This bar chart displays the population of the top 10 countries in the year 2000, using a horizontal layout with country names on the y-axis and population values on the x-axis. The visualization is built with React and D3 v5, using `scaleBand` for the categorical axis, `scaleLinear` for the numeric scale, and custom `AxisBottom` and `AxisLeft` components for ticks. Data is loaded via `d3.csv` from a remote GitHub URL, with population values formatted using D3's `format` function. SVG rectangles represent each country's population, with tooltips showing exact formatted values on hover.

Jjahnavigummadi@my.unt.edu

Activity6_Task1

This horizontal bar chart displays the population of the top 10 countries in the year 2000. The visualization uses D3.js scales and formatting functions to map country names and population values to the layout. Built with React, the example loads data from a remote CSV file and renders the chart using SVG. Interactive tooltips are provided through the `<title>` elements on each bar, while D3's `scaleBand` and `scaleLinear` position the bars and axes.