Skip to main content
SimilarExport ZIP
100%

Let's explore data joins with a bar char

✓ Published0🌍 Public
CChongho Lee
Last edited Nov 17, 2019
Created on Nov 17, 2019

This bar chart visualizes the population of nine countries using data from a CSV file. Each bar represents a country, with its width corresponding to population size in thousands. The visualization uses D3 v5 to load and parse the data, then applies `scaleLinear` for the x-axis and `scaleBand` for the y-axis to position SVG rectangles. The code transforms the population values by multiplying them by 1000 during data preprocessing.

AI-generated description
MIT Licensed

Similar vizzes

Loading thumbnail…

Let's explore data joins with a bar char

This example uses a bar chart to illustrate data joins in D3.js, showing population figures for nine countries from a CSV file. The bars are rendered as SVG rectangles, with their heights mapped through `scaleBand` and widths through `scaleLinear`. The code loads data with `d3.csv`, converts population values to numbers, and appends rects via `selectAll().data().enter()`, demonstrating the fundamental enter selection pattern. The chart itself displays the sorted country population distribution, with China and India leading by a wide margin.

BBrett Cunningham
93% match
Loading thumbnail…

Let's make a bar chart!

A horizontal bar chart displays population figures for ten countries, using bar length to represent population in thousands. Built with D3 v5, the visualization loads CSV data via `d3.csv` and applies `d3.scaleLinear` for the x-axis and `d3.scaleBand` for categorical y-axis spacing. SVG rectangles are appended and positioned through D3 data joins, with margins calculated from the SVG's width and height attributes. The code demonstrates fundamental scale and selection patterns for basic bar chart construction.

CChromosin13
87% match
Loading thumbnail…

Making a bar chart

A horizontal bar chart displays population figures for ten countries, with a steelblue bar for each nation. The example demonstrates a basic D3 data join, using `scaleLinear` for the x-axis and `scaleBand` for the y-axis, with `axisLeft` and `axisBottom` to render the scales. Data loads from a CSV file via `d3.csv`, and the code converts population values to numeric form before rendering the SVG. The chart is built with D3 v5, using a simple selection to append rectangles.

ZZhengyan Yu
86% match
Loading thumbnail…

Let's make a bar chart

This example displays a horizontal bar chart of population data for ten countries, using bar length to represent each value. The chart renders as SVG and is built with D3.js v5, employing `csv`, `scaleLinear`, `scaleBand`, `axisLeft`, and `axisBottom` to load data and generate axes. Rectangles are appended via data joins, with a pink fill defined in CSS. The population values are read from a CSV file and scaled by one thousand before rendering.

Yyukozome
86% match
Loading thumbnail…

Create bar chart!

A bar chart displays population figures for ten countries, with bar length proportional to population and each bar labeled by country name. The visualization uses D3 v5’s `scaleLinear` for the x-axis population scale and `scaleBand` for the categorical y-axis country bands. Data is loaded from a CSV file via D3’s `csv` function, with population values parsed and multiplied by 1000. The SVG rendering appends rectangles directly to the canvas, using the scales to set each bar’s width and height based on the data.

Sssd4
86% match
Loading thumbnail…

Making a bar chart

A horizontal bar chart displays population figures for nine countries, using data from a CSV file. The chart ranks countries by population along a linear scale, with country names on a band scale for bar positioning. Built with D3 v6, the visualization loads CSV data, converts population values to numbers, and renders SVG rectangles. It uses `scaleLinear`, `scaleBand`, `axisLeft`, and `axisBottom` to construct the axes and bars, with steelblue fills and margins for layout.

YYanda Qu
86% match
Loading thumbnail…

Making a bar chart

This chart displays the populations of ten countries, using horizontal bars whose lengths correspond to each nation’s total population. The visualization is built with D3 v5, reading data from a local CSV file and rendering SVG rectangles through `select`, `csv`, `scaleLinear`, `scaleBand`, and `bandwidth`. The x-axis scales population values, while the y-axis positions country names, and the bars are colored with the default SVG styling.

Vviolet-chaeyoonkim
85% match
Loading thumbnail…

Making a Bar Chart

This example shows the population of ten countries as horizontal bars, with bar length representing population and each bar labeled by country name. It uses d3.scaleLinear for the x-axis and d3.scaleBand for the y-axis, loading data from an external CSV file with d3.csv. The SVG rectangles are appended and sized directly through D3’s data join, with population values converted from thousands to raw counts before rendering.

BBrad Johnson
85% match