Skip to main content
SimilarExport ZIP
100%

Bar Chart with Highlighting

✓ Published0🌍 Public
Nnouralkhoury
Last edited Dec 1, 2020
Created on Dec 1, 2020

This bar chart displays 2018 population data for the ten most populous countries, with each bar color-coded by population size threshold. The visualization uses D3 v6 with SVG rendering, employing `scaleLinear` and `scaleBand` for axes. Bars change opacity on mouseover and show a tooltip with country and population values via D3 event handlers. Data loads from a CSV file using `d3.csv`, and population values are multiplied by 1000 to convert from thousands.

AI-generated description

This is my code after following a video tutorial by Curran Kelleher.

MIT Licensed

Similar vizzes

Loading thumbnail…

Bar Chart with Highlighting

This bar chart displays the populations of ten countries using horizontal bars, with color encoding highlighting ranges: red for those above one billion, orange for over 200 million, yellow for over 150 million, and green otherwise. The visualization is rendered as an SVG using d3.scaleLinear, d3.scaleBand, d3.axisLeft, and d3.axisBottom, with data loaded from a CSV via d3.csv. Hover interactions reveal a tooltip text element that displays country and population values, while adjusting bar opacity.

Ccbackes000
92% match
Loading thumbnail…

Bar Chart with Highlighting

This bar chart visualizes country populations using horizontal bars, with color encoding to highlight population ranges—from dark red for values above 2000 to light beige for the smallest. The chart is rendered as SVG using D3 v6, with scales from `d3.scaleLinear` and `d3.scaleBand`. Interactive tooltips appear on mouseover via a D3 text element, and data is loaded from a CSV file. Axes are generated using `d3.axisLeft` and `d3.axisBottom`.

Nnouralkhoury
91% match
Loading thumbnail…

Fork of Bar Chart with Highlighting

This bar chart displays the most populous countries in 2018, using a horizontal layout with color-coded bars to distinguish population magnitude. Built with D3 v6, it employs `d3.scaleLinear` and `d3.scaleBand` for scales, `d3.axisLeft` and `d3.axisBottom` for axes, and CSV data loaded via `d3.csv`. Interactive highlighting occurs through mouseover events that adjust bar opacity and show a tooltip text element.

KK V VINITHA
89% match
Loading thumbnail…

Making a Bar Chart

This horizontal bar chart displays the populations of the ten most populous countries in 2018. It uses D3 v6 to load the CSV data and render SVG rectangles and axes. The chart employs d3.scaleLinear for the quantitative population axis, d3.scaleBand for categorical country labels, and d3.axisLeft and d3.axisBottom to draw the scales. Population values are multiplied by 1,000 after parsing.

AAndrewRiceMGW
88% match
Loading thumbnail…

Bar Chart

This bar chart displays population estimates for the ten most populous countries, with each bar’s length proportional to the country’s population. The visualization uses D3 v5’s `scaleLinear` and `scaleBand` to map population values to bar widths and country names to vertical positions, rendering bars as SVG rectangles. Data is loaded from a CSV file, and populations are parsed and multiplied by 1000 before rendering. The chart includes fixed margins but no labels, leaving the bars to communicate the ranking.

Nneydareh
88% match
Loading thumbnail…

Making a Bar Chart

This example visualizes the 2018 population estimates of the ten most populous countries as horizontal bars. The chart uses D3 version 5.6, with an SVG canvas. The code employs D3's `scaleBand` and `scaleLinear` to map country names and population counts to y- and x-coordinates, respectively, while `axisLeft` renders the y-axis labels. Data is loaded asynchronously from a CSV file via `csv()` and parsed into numbers, with each bar’s length encoding the population value.

Cceltic660
88% match
Loading thumbnail…

Making a Bar Chart

This bar chart displays the populations of the top 10 most populous countries in 2018, using horizontal bars sorted by country name. The chart is rendered as an SVG using D3 v5, with `d3.scaleLinear` mapping population values to bar widths and `d3.scaleBand` positioning each country along the y-axis. Axes are generated with `d3.axisLeft` and `d3.axisBottom`, and data is loaded from a CSV file via `d3.csv`. Population values are multiplied by 1000 to reflect actual figures.

Hhamza.miftah@gmail.com
88% match
Loading thumbnail…

Bar chart

This bar chart displays the population of the ten most populous countries, using horizontal bars ordered alphabetically by country name. The visualization loads data from a CSV file and renders it as SVG rectangles. It uses D3 v5 scales and axes, including `scaleLinear` for the population axis and `scaleBand` for the categorical country axis, with `axisLeft` and `axisBottom` for tick marks. The bars are styled steelblue via an external stylesheet.

BbeauMarko
88% match