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Last edited Mar 27, 2025

Created on Mar 27, 2025

This bar chart displays the 2020 population estimates for the first 30 countries in a CSV dataset, with each bar’s length representing population size along a linear scale. The visualization uses D3 v7 to load the data via `d3.csv`, filter the rows, and render SVG rectangles with `d3.scaleLinear` and `d3.scaleBand` for axes. Axis positioning is handled by `d3.axisBottom` and `d3.axisLeft`, while the chart is drawn entirely as SVG elements without additional interaction or animation.

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Fork of ACTIVITY_6_TASK1

This horizontal bar chart shows the 2020 population of the top 30 countries, with bars sorted by country name and scaled linearly by population. The visualization uses the D3 v7 library to render SVG elements, with `d3.scaleLinear` for the x-axis and `d3.scaleBand` for the y-axis. Population values are formatted with `d3.format` to display in billions or millions, and the data is loaded asynchronously from a CSV file using `d3.csv`. Rectangles are appended to the chart with a light green fill, while axis labels are positioned using SVG transforms.

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Fork of ACTIVITY_6_TASK1

94% match

ACTIVITY_6_TASK1

This bar chart displays the 2020 population estimates for the top 30 countries, using a horizontal layout where bar length encodes population values. The visualization is rendered as SVG with D3 v7, using `d3.scaleLinear` for the x-axis and `d3.scaleBand` for the y-axis categories. Data is loaded from a CSV file via `d3.csv`, with the axis labels formatted to abbreviate large numbers (e.g., "1.2B"). The chart applies a light green fill to bars and includes labeled axes for population and country names.

ACTIVITY_6_TASK1

Fork of ACTIVITY_6_TASK1

This visualization shows a horizontal bar chart of the 30 most populous countries in 2020, ranked in descending order, with each bar representing a country's population. The chart pulls data from a remote CSV file hosted on GitHub and loads it using `d3.csv`, then processes the values by converting the population field to a number. Rendered as SVG using D3 v7, the chart uses `d3.scaleLinear` for the x-axis and `d3.scaleBand` for the categorical y-axis, with custom components for the axes and marks. The bars are drawn as `<rect>` elements with a light green fill.

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This horizontal bar chart displays the population of the top 30 countries in 2020, with each country represented by a lightgreen bar scaled against a linear population axis. The visualization uses d3.v7 with SVG rendering, employing d3.scaleLinear for the x-axis and d3.scaleBand for the y-axis. The code loads CSV data from a GitHub repository, formats population values with d3.format to show abbreviations like "200B", and applies margins and axis labels for clarity. Both axes include custom tick formatting and rotated text labels.

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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.

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ACTIVITY_6_TASK1

This horizontal bar chart compares the 2020 populations of the top 30 countries, with each bar’s length proportional to population and the y-axis ordered by country name. Using D3 v7, the code applies a linear scale for the population axis and a band scale for countries, rendering the bars as SVG rectangles. Axis formatting converts large numbers to billions via `d3.format`, while data is fetched from a remote CSV file. The chart’s axes include clear labels for “Countries” and “POPULATION-2020”.