Skip to main content
SimilarExport ZIP
100%

Hello VizHub

✓ Published1🌍 Public
GGlenn Henshaw
Last edited Sep 27, 2019
Created on Sep 27, 2019
Forked from Hello VizHub

A scatterplot maps IQ against internet speed (MB/sec) for 53 countries, with each point colored red and semi-transparent. The chart uses SVG rendered through D3 v5, with linear scales for both axes and D3's `axisBottom` and `axisLeft` for ticks. Data loads from a CSV file via `d3.csv`, and numeric parsing precedes the rendering call.

AI-generated description

An example showing the capabilities of VizHub.

MIT Licensed

Similar vizzes

Loading thumbnail…

Hello VizHub

This scatterplot displays the relationship between IQ scores and internet speed in megabytes per second across 53 countries, with each country represented as a red circle at 50% opacity. The visualization uses D3 v5 to load data from a CSV file and render an SVG chart with linear scales for both axes. Grid lines created through `axisBottom` and `axisLeft` with negative tick sizes provide reference points, while axis labels clarify the variables being compared.

GGlenn Henshaw
95% match
Loading thumbnail…

Hello VizHub

This example uses the D3 v5 library to render a static scatter plot comparing IQ and internet speed (MB/sec) across 53 countries. The chart displays each country as a red circle, with IQ on the y-axis and MB/sec on the x-axis, using D3’s `select`, `scaleLinear`, `axisBottom`, and `axisLeft` modules. The data is loaded from a CSV file using D3’s `csv` function, parsed into numeric values, and rendered as an SVG. Grid lines are added via the tick marks, and axis labels are included for clarity.

GGlenn Henshaw
94% match
Loading thumbnail…

Hello VizHub

This bar chart visualizes population data for countries and two additional entries from a CSV file, using an SVG-based rendering approach. The chart employs D3 v5's scaleLinear for the x-axis, scaleBand for the y-axis categories, and axisBottom with a custom tick formatter that converts large numbers into abbreviations like "B" for billions. Bars are appended as SVG rectangles, with margins and axes configured to present the data cleanly. The visualization loads data asynchronously via d3.csv and demonstrates fundamental D3 data-binding and layout patterns.

Sseguritops
78% match
Loading thumbnail…

Hello VizHub

A horizontal bar chart displays the populations of the ten most populous countries from a CSV file, with animated bars that grow in width over two seconds upon load. The visualization uses D3 v5 to parse the data, apply linear and band scales, and render axes with custom tick formatting that abbreviates large numbers using `format('.3s')`. SVG elements are positioned with margins, while the title and axis labels are appended as text. Population values are multiplied by 1000 during data preprocessing.

Ffahmijaafar
76% match
Loading thumbnail…

Hello VizHub

This example displays a horizontal bar chart ranking countries by population, with bars rendered as SVG rectangles and axes labeled using d3.axisBottom and d3.axisLeft. The data is loaded from a CSV file via d3.csv, and populations are formatted with d3.format to convert raw numbers into abbreviated strings like “B” for billions. The chart uses d3.scaleLinear for the x-axis and d3.scaleBand for the y-axis, with margins and tick marks styled via CSS. It demonstrates VizHub’s workflow of combining D3 v5 with ES6 modules.

Vvkanotra
76% match
Loading thumbnail…

Hello VizHub

This bar chart visualizes the population of the top 10 most populous countries, using a horizontal layout with country names on the y-axis and population values on the x-axis. It loads data from a local CSV file and renders the visualization with D3 v5, utilizing `scaleLinear`, `scaleBand`, `axisLeft`, and `axisBottom` to construct the chart. The SVG-based output includes a title and axis labels, with data transformed by multiplying values with a fixed factor.

Aasimplesinger
76% match
Loading thumbnail…

Hello VizHub

This bar chart displays monthly quantities from a CSV file hosted on VizHub, rendered as an SVG using D3.js v5. The code loads the data with `d3.csv`, processes the numeric values, and draws the axes with `d3.axisBottom` and `d3.axisLeft`. Bars are created via `d3.scaleBand` and `d3.scaleLinear` mappings, with rotated x-axis labels for readability. The visualization, styled by an external CSS file, appears on a dark background within a framed container.

Mmwisniewski1991
75% match
Loading thumbnail…

Hello VizHub

This example visualizes population data for the ten most populous countries using a bar chart rendered with SVG. The code loads data from a CSV file and uses D3 v5 scales—`scaleBand` for the x-axis and `scaleLinear` for the y-axis—to map values. It also employs `axisLeft` and `axisBottom` to generate the chart’s axes, while styling is applied via CSS.

Aa-ydobon
75% match