THROWBACK

100%

✓ Published0🌍 Public

Last edited Aug 4, 2020

Created on Jul 15, 2020

The visualization displays two overlaid bar charts of population data, with rectangles rendered in bright colors and semi-transparent layers to compare values across countries. Static chart elements are built using d3.scaleBand, d3.scaleLinear, and d3.scaleOrdinal with schemeCategory10, while d3.axisLeft renders the y-axis. An animated sequence updates the data every 10 seconds via setInterval, redrawing rects and text labels with d3 data joins. The SVG output uses d3.v5, with negative values shown in red and positive values in green, though the actual dataset contains only positive population figures.

AI-generated description

MIT Licensed

Similar vizzes

Loading thumbnail…

THROWBACK

A bar chart displays population figures for ten countries, sourced from a CSV file with values converted from thousands to absolute numbers. Built with D3 v5, the visualization uses `d3.csv`, `scaleBand`, `scaleLinear`, and `axisBottom`/`axisLeft` to render an SVG with steelblue rectangles. The chart emphasizes country name labels and population magnitudes, with axes providing quantitative and categorical reference points.

JJake

87% match

Loading thumbnail…

EXPLORING BAR CHART

This interactive bar chart visualizes population data for ten countries, displaying values horizontally with a logarithmic scale. The chart uses D3 v5 to render SVG graphics, with mouseover effects that display tooltips showing country names and population figures. Users can click bars to select them, changing their color from green to pink, while the entire visualization updates with smooth transitions. The code references D3's scaleLinear, scaleBand, and axis functions, along with custom mouse event handlers adapted from a Medium tutorial.

GGuillamon

80% match

Loading thumbnail…

Animated bar chart

This example displays population changes over time using an animated bar chart in SVG. Bars grow in height sequentially as each year is added, with green bars that turn red and expand slightly on mouseover. The visualization is built with D3 v4, using `d3.scaleBand` for the x-axis, `d3.scaleLinear` for the y-axis, and `d3.axisBottom` and `d3.axisLeft` for ticks. Bar entrance animations use `transition().delay()` and `ease(d3.easeLinear)`, while hover effects rely on `transition().attr()` calls. Data comes from a CSV file with year and population values.

Jjesramyep1263

79% match

Loading thumbnail…

Charts for Fun

This example presents a data visualization with a bar chart and scatter plot, both using red semi-transparent shapes, that render population data from the United Nations World Population Prospects 2017. The bar chart displays the top 10 most populous countries, while the scatter plot appears to plot timestamp and Basel temperature data, though the title refers to population. The code uses D3 v5 APIs including `scaleBand`, `scaleLinear`, `scalePoint`, `axisLeft`, `axisBottom`, and `format` to customize axes and tick labels, rendering to SVG elements with a margin-based layout.

BBrenda199708

78% match

Loading thumbnail…

Population

This example displays a static bar chart of population figures for five countries, rendered as an SVG. It loads the D3 v6 library via UNPKG and uses `d3.scaleLinear`, `d3.scaleBand`, `d3.axisBottom`, and `d3.axisLeft` to construct the visualization. Bars change color from blue to red on mouseover via D3 transitions. Population values are displayed as text labels above each bar. The chart defines its own dimensions, margins, and axes, using the hardcoded `popn` dataset.

VVenkat-Sumith-Thota

78% match

Loading thumbnail…

Untitled

A horizontal bar chart displays population estimates for ten countries, with bars colored in a warm orange against a teal background. The chart uses `d3.csv` to load data, `d3.scaleLinear` for the population axis, and `d3.scaleBand` to position bars per country. SVG rendering is performed via D3 v5, with axes created through `d3.axisLeft` and `d3.axisBottom`. Population values are formatted using `d3.format` with abbreviations like "B" for billions. Axes, grid lines, and domains are selectively removed to simplify the visual presentation.

LLaily Sarvarian

78% match

Loading thumbnail…

D3 Vanilla Js - Bar Chart

This bar chart displays population data for several countries, with horizontal bars representing relative population sizes. The visualization uses D3 v5 with SVG rendering, employing `scaleLinear` for the x-axis, `scaleBand` for categorical y-axis placement, and `axisLeft` and `axisBottom` for axes. Data is loaded from a CSV file and sorted by year, though only the first three country entries are shown. The x-axis uses a custom tick format that converts values to billions.

Iinroadings

78% match

Loading thumbnail…

Let's make a face with D3.js!

This bar chart visualizes population data for six countries using D3.js v5, with orange bars drawn in SVG. The code loads data from a CSV file, maps country names to the x-axis using `scaleBand`, and population values to the y-axis with `scaleLinear`. Axes are added via `axisBottom` and `axisLeft`, while the chart is rendered by appending rectangles to an SVG group, with margins and dimensions derived from the SVG element’s attributes.

FFrançois Plet

78% match