Skip to main content
SimilarExport ZIP
100%

Untitled

✓ Published0🌍 Public
Hharshb863
Last edited Jul 21, 2022
Created on Jul 20, 2022
Forked from Untitled

This visualization shows the population of eight countries as horizontal bars, sorted by country name, with a title indicating "Top 10 most Populous Country" though only eight are plotted. The code uses D3 v7 APIs including `csv`, `scaleLinear`, `scaleBand`, `axisLeft`, `axisBottom`, and `format` to load data from `data.csv`, scale population values, and render axes and rectangles in an SVG. Bars are colored individually from a fixed palette, and population values are multiplied by 1000 after parsing, with tick labels formatted in billions using the `format(".3s")` method.

AI-generated description

A bare minimum HTML page demonstrating use of CSS and JavaScript.

See also React Starter.

MIT Licensed

Similar vizzes

Loading thumbnail…

Untitled

This visualization displays population data for eight countries, with horizontal bars representing each nation’s population on a linear scale. The code uses D3’s `scaleLinear`, `scaleBand`, `axisLeft`, and `axisBottom` to construct the chart, parsing data from a CSV file via `d3.csv`. Each bar is colored differently using a hardcoded array, and the SVG rendering is managed through React and D3 v7. The chart is positioned within an SVG element using margins and a root group.

Hharshb863
93% match
Loading thumbnail…

Untitled

This bar chart displays the top 10 most populous countries using horizontal bars, with population values scaled linearly and countries arranged on a band scale. The visualization uses D3 v6 APIs including `scaleLinear`, `scaleBand`, `axisLeft`, and `axisBottom`, with custom tick formatting that converts large numbers to billions. The SVG renders with margins, gridlines via negative tick sizes, and axis labels, all styled through CSS. Data is loaded from a CSV file using D3's `csv` method, with population values multiplied by 1000 to reflect actual counts.

RReekMajumder
91% match
Loading thumbnail…

Untitled

This bar chart displays the population of eight countries, using a horizontal layout where each bar’s length corresponds to the population value. Built with D3 v7 and React, it renders to SVG via the `select` and `csv` APIs, scaling the x-axis with `scaleLinear` and the y-axis with `scaleBand`. Each bar is assigned a distinct color from a fixed array, with axes added using `axisLeft` and `axisBottom`.

Hharshb863
91% match
Loading thumbnail…

Untitled

This chart displays the populations of the ten most populous countries, ordered along the y-axis with bars scaled by population value. The code loads data from a CSV file and uses D3 v6’s `csv`, `scaleLinear`, `scaleBand`, and `axisBottom` functions. Each bar's width maps to the population, with the x-axis formatted in billions. The SVG is rendered with a dotted green outline on rectangles and custom font styling.

Bbicyclecode
91% match
Loading thumbnail…

Untitled

This example shows the populations of the ten most populated countries as horizontal bars, sorted by size with a linear scale for population and a band scale for country names. The code loads data from a CSV file using d3.csv, converts population figures, and renders the chart as SVG. It uses d3.scaleLinear, d3.scaleBand, d3.axisLeft, and d3.axisBottom, with custom tick formatting for readability. The bars are styled in steelblue, with axis labels and titles formatted via d3.format.

RRatul R
90% match
Loading thumbnail…

Untitled

This example shows the populations of the ten most populated countries as horizontal bars, sorted by size with a linear scale for population and a band scale for country names. The code loads data from a CSV file using d3.csv, converts population figures, and renders the chart as SVG. It uses d3.scaleLinear, d3.scaleBand, d3.axisLeft, and d3.axisBottom, with custom tick formatting for readability. The bars are styled in steelblue, with axis labels and titles formatted via d3.format.

RRatul R
90% match
Loading thumbnail…

Untitled

This example visualizes the population of ten countries as a horizontal bar chart, using D3 v5 within a React framework. The bars are rendered as SVG rectangles, with country names on the y-axis and population values on the x-axis. It uses `d3.csv` to load the data, `scaleLinear` and `scaleBand` for scaling, and `axisLeft` and `axisBottom` for axes. The x-axis tick format abbreviates large numbers, and the chart includes a title and axis label.

Eedpmay
90% match
Loading thumbnail…

Untitled

A horizontal bar chart displays the ten most populous countries in 2020, with population values encoded as bar lengths. The visualization uses React and D3 v5, employing `scaleBand` for the categorical y-axis and `scaleLinear` for the quantitative x-axis. The `AxisBottom` and `AxisLeft` components render tick marks and labels, while `Marks` creates the rectangular bars. Population data comes from the United Nations World Population Prospects 2019, loaded via D3's `csv` function and formatted with `format`.

HHaileabGH
90% match