D3 Stuff

100%

✓ Published1🌍 Public

Last edited Oct 2, 2019

Created on Oct 2, 2019

Forked from D3 Stuff

This visualization displays the percentage of population with improved drinking water coverage for selected countries, using a horizontal bar chart where bar length represents coverage percentage. The chart employs D3 v5 with scales, specifically `scaleLinear` for the x-axis measuring coverage values and `scaleBand` for the categorical y-axis listing country names. Data is loaded from a CSV file using `csv`, with the coverage field parsed as numbers. SVG rectangles are bound to the dataset, and axes are generated with `axisLeft` and `axisBottom`.

AI-generated description

MIT Licensed

Similar vizzes

Loading thumbnail…

D3 Stuff:Scatterplot

This scatterplot displays the percentage of population covered by health services across various countries, with each blue circle positioned along a linear coverage scale on the x-axis and a point scale of country names on the y-axis. The visualization uses D3 v5’s `scaleLinear`, `scalePoint`, `axisLeft`, `axisBottom`, and `format` to render an SVG, pulling data from a local CSV file. Grid lines extend from the y-axis, and the chart includes a bottom axis with formatted numeric ticks.

Ddanjaruss

83% match

Loading thumbnail…

D3 Stuff:Axes

A bar chart displays the percentage of skilled birth attendance coverage across countries, with the y-axis listing country names and the x-axis plotting coverage values up to the maximum. Using d3.csv, the chart loads data from a CSV file, then applies d3.scaleLinear for the x-axis and d3.scaleBand for the y-axis. The bars are rendered as SVG rectangles, with d3.axisLeft and d3.axisBottom formatting ticks, while d3.format shortens tick labels. The chart removes axis domain lines for the categorical y-axis.

Ddanjaruss

82% match

Loading thumbnail…

D3 face

A horizontal bar chart renders population counts from a local CSV file, with countries labeled on the y-axis and bar lengths scaled to population values. The visualization uses D3 v5 and SVG, loading data via `d3.csv` and mapping values with `scaleLinear` and `scaleBand`. Bars are appended as `rect` elements whose widths and heights are computed from the scale domains, creating a simple, direct representation of the dataset.

Ddaniel-matific

80% match

Loading thumbnail…

D3

This example shows a horizontal bar chart of population by country, from a CSV file listing country names and populations. It uses D3 v5 with an SVG layout created from a `scaleLinear` for the x-axis and a `scaleBand` for the y-axis. The rendering approach appends `rect` elements, calls `axisLeft` and `axisBottom` for the axes, and enriches the data by multiplying population values by 1000 before scaling. Styling is handled via CSS.

KKyllVis

79% match

Loading thumbnail…

D3

This example shows a horizontal bar chart of population data for ten countries, with population values scaled by a factor of 1,000. The visualization uses D3 v5 to load the CSV, create linear and band scales, and render SVG rectangles with axes. The code demonstrates `d3.csv`, `scaleLinear`, `scaleBand`, `axisLeft`, and `axisBottom`, and the chart is built within a React context, with the SVG element targeted by `d3.select`. The bars are styled with steelblue fill, and axes are labeled with a custom font size.

JJeffrey Miiller

79% 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

79% match

Loading thumbnail…

Data Visualization with D3

This example shows a bar chart of population values for a list of countries, with each bar’s length scaled linearly and countries arranged along a categorical band scale. It uses D3 v5 with SVG rendering, applying `d3.scaleLinear` and `d3.scaleBand` to map data to positions, and `d3.axisLeft` and `d3.axisBottom` for the axes. Data is loaded from a CSV file via `d3.csv`, and population figures are parsed and multiplied before rendering.

Ssvensonneveld

79% match

Loading thumbnail…

Data Visualization with D3

A horizontal bar chart displays population values for a list of countries. The chart loads data from a local CSV file, converting the population strings to numbers. Using D3.js v5, the code applies `d3.scaleLinear` for the x-axis and `d3.scaleBand` for the y-axis, rendering blue rectangles via SVG. Axes are added with `d3.axisLeft` and `d3.axisBottom`.

Kkaschifs

79% match