ICE6-ESWARPVR

100%

✓ Published1🌍 Public

Last edited Jun 26, 2023

Created on Mar 22, 2023

This bar chart displays the top 30 countries by population in 2010, with country names on the y-axis and population values on the x-axis. It uses React and D3 v5, with scaleBand for the categorical axis and scaleLinear for the numeric scale, rendering SVG rectangles for each bar. Data loads from a CSV via d3.csv, formatted with d3.format to abbreviate values like "1.2B". Tooltips appear on hover using native SVG title elements, and axes use custom React components with CSS-styled tick marks.

AI-generated description

Bar chart- Displaying the top 30 countries with the most population in 2020

MIT Licensed

Similar vizzes

Loading thumbnail…

ICE_6

This bar chart displays the top 10 most populous countries in 2019, using a horizontal bar layout with country names on the y-axis and population values on the x-axis. It is built with React and D3 v5, using `d3.csv` to load data from a remote CSV file, `d3.scaleBand` and `d3.scaleLinear` for axes, and SVG rectangles for bars. Gridlines and tick labels are generated with `d3.ticks()`, while the chart is rendered entirely as SVG within a React component.

AAkrutiKhurana2103

88% match

Loading thumbnail…

ICE-6 Dv

This visualization shows the top 10 most populous countries in 2019 as a horizontal bar chart, with the population of each country represented by the length of its colored bar. The chart is built using React, which manages the component state, and D3 v5 for data loading and scales. The code uses `d3.csv` to fetch population data from a GitHub gist, `d3.scaleBand` for the categorical y-axis, and `d3.scaleLinear` for the continuous x-axis, while axes tick lines and labels are drawn manually.

Ssowmyanagula@my.unt.edu

87% match

Loading thumbnail…

ICE6

A horizontal bar chart displays the top ten countries in the 2019 World Population dataset, with each bar's length proportional to population and country labels on the y-axis. The visualization is built with React, using D3's `scaleBand` and `scaleLinear` to map data to SVG rectangles within a responsive `<svg>` container. Axes and tick marks are generated via D3's `axisLeft` and `axisBottom` functions, styled with CSS. The chart updates asynchronously after fetching and parsing the CSV via `d3.csv`.

Hharika-1929

87% match

Loading thumbnail…

ICE 6 Bar charts

This example displays the top 10 countries by population using a horizontal bar chart, with the x-axis formatted in billions. Built with React and D3 v5, it uses `scaleBand` for the categorical y-axis and `scaleLinear` for the numeric x-axis, rendering marks as SVG rectangles. Data is loaded asynchronously via `csv` from a UN population dataset, and tooltips show exact values on hover.

Rrakeshkommineni

87% match

Loading thumbnail…

ICE-6 Bar Graph

A horizontal bar chart displays the top 25 countries by 2022 population, sorted by the dataset's original order from a CSV file. The chart uses red gridlines and a linear x-axis scale for population values, with each bar's length proportional to the country's population. Built with React and D3 v5, it loads data via `d3.csv`, renders SVG rectangles, and applies `d3.scaleBand` for the categorical y-axis and `d3.scaleLinear` for the numeric x-axis, with axis ticks and labels generated manually.

KKetha

86% match

Loading thumbnail…

ICE-6 DV

This example displays a horizontal bar chart of the top 20 countries by population, sourced from a CSV dataset. The visualization uses React and D3 v5, with SVG rendering. The code implements `d3.scaleBand` for the y-axis categories and `d3.scaleLinear` for the x-axis population values, drawing gridlines and axis ticks manually. The bars are rendered as `rect` elements with widths proportional to each country's population.

Ssowmyanagula@my.unt.edu

86% match

Loading thumbnail…

ICE-6

This visualization displays the top 10 most populous countries as a horizontal bar chart, with country names on the y-axis and population values on the x-axis. The chart loads data from a CSV file and renders as an SVG using React and D3 v5. The code employs `scaleBand` for the categorical y-axis, `scaleLinear` for the numeric x-axis, and includes grid lines with tick labels generated via the scales. Data is processed by converting the ’2019’ column to numeric values and slicing the top 10 entries.

SSushmareddy-gudipally

86% match

Loading thumbnail…

ICE-6

This interactive chart displays the top 5 most populous countries based on 2019 data, using horizontal bars to compare population sizes. The visualization loads data from a CSV file via `d3.csv`, then renders an SVG bar chart with React. It employs `d3.scaleBand` for the categorical country axis and `d3.scaleLinear` for the population values, with gridlines and tick labels generated from the scales. The chart updates reactively as data loads, showing a loading state before the bars appear.

Ssudhamshu24

86% match