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Ssravani1969@gmail.com
Last edited Mar 28, 2025
Created on Mar 28, 2025

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 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.

Ssravani1969@gmail.com
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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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This bar chart displays the 2020 population for the top 30 countries, sorted along a horizontal axis with population values and a vertical axis listing country names. The visualization uses D3 v7 to load CSV data, create a linear x-scale and band y-scale, and render light-green SVG rectangles. Axis components are built with `d3.axisBottom` and `d3.axisLeft`, with tick formatting that converts values to a concise billion/million notation (e.g., "1.2B"). The chart is generated entirely in SVG, with margins and scaling calculated in JavaScript.

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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 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.

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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.

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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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