Activity6 Task_1

Activity 6_Task 1

This horizontal bar chart displays the populations of the top 30 countries in the year 2000, sorted by country name. The visualization uses D3.js version 7 to create an SVG bar chart with light green bars, a linear x-scale for population values, and a band y-scale for country names. The code imports data from a CSV file using d3.csv and constructs the chart with modular components for axes and marks. Axis labels are formatted using d3.format to display population values in billions.

MManojsai Bangaru

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.

Bbhavya.kanyadara@gmail.com

Fork of Activity6 Task_1

This bar chart displays the population of 20 countries in the year 2000, with countries listed on the y-axis and population values on the x-axis. The visualization uses `d3.scaleLinear` and `d3.scaleBand` to map data to SVG rectangles, while `d3.axisBottom` and `d3.axisLeft` generate the labeled axes. Population data is loaded from a remote CSV file via `d3.csv`, formatted with compact notation (e.g., "1.2B"), and rendered as light green bars using the SVG `rect` element.

Activity6_Task1 _1

This horizontal bar chart displays the population of ten countries in the year 2000, sorted from highest to lowest. The chart uses d3.scaleLinear for the x-axis and d3.scaleBand for the y-axis, rendering bars as SVG rectangles with a fixed coral fill. It draws axes with d3.axisBottom and d3.axisLeft, and the data is loaded from a CSV file using d3.csv. Labels for “Population - 2000” and “Countries” are added with SVG text elements.

Nnissisharon61@gmail.com

Activity6_Task1_Q1.1

This horizontal bar chart displays the population of the top 10 countries in the year 2000, sorted from largest to smallest. The chart uses a light green fill for the bars, with a title above and blue tick lines on the axes. Built with D3 v7, the code uses `d3.scaleLinear` and `d3.scaleBand` for the x and y scales, and `d3.axisBottom` and `d3.axisLeft` for the axes. Data is fetched from a CSV file stored on GitHub and rendered as SVG.

MManojsai Bangaru

Ssaikarthiknimmagadda@gmail.com

activity6_Task1.1

This horizontal bar chart displays the population of ten countries in the year 2000, with light green bars extending from a left-aligned y-axis of country names to an x-axis of population values. The visualization uses D3 v7 to load CSV data via `d3.csv`, scale the values with `scaleLinear` and `scaleBand`, and render axes with `d3.axisBottom` and `d3.axisLeft`. Axis labels are annotated, and the bottom axis formats population values using `d3.format`, abbreviating millions as "B".

Ssairohithchada@gmail.com

Activity6_task 1

This horizontal bar chart displays the population of ten countries in the year 2000, with light green bars extending along a linear scale from left to right. The chart uses D3 v7 to load CSV data from a GitHub repository, with `d3.scaleLinear` mapping population values to the x-axis and `d3.scaleBand` positioning countries on the y-axis. Axes are generated using `d3.axisBottom` and `d3.axisLeft`, while tick labels on the x-axis are reformatted to abbreviate millions as "B" (e.g., 200M to 200B). The SVG rendering includes custom axis labels for "POPULATION-2000" and "Countries."

Ssaikarthiknimmagadda@gmail.com

activity6_Task1.2

This bar chart displays the population figures for the top 20 countries in 2020, presented in descending order along a horizontal axis. Each country is represented by a light green rectangle, with the population values read from a CSV dataset hosted on GitHub. The visualization is built using D3.js v7, leveraging `d3.scaleLinear` for the x-axis and `d3.scaleBand` for the categorical y-axis. The axes are rendered via `d3.axisBottom` and `d3.axisLeft`, with custom tick formatting that abbreviates large numbers using suffixes like "B" for billions.