Fork of Pathetic Bar Chart

100%

Fork of Pathetic Bar Chart

✓ Published1🌍 Public

Last edited Aug 5, 2021

Created on Aug 5, 2021

This example displays the top 10 most populous countries as a bar chart that uses country names as the y-axis labels and numeric population values for the x-axis, but omits axis lines and titles. It loads United Nations World Population Prospects 2019 data using `d3.csv`, then applies React state and hooks to render SVG bars. The visualization uses `d3.scaleBand`, `d3.scaleLinear`, and `d3.max` to map the data, while `d3.ticks` generates gridlines.

AI-generated description

A program that shows the top 10 most populous countries as a pathetic bar chart with no axes.

Data: United Nations World Population Prospects 2019.

MIT Licensed

Similar vizzes

Loading thumbnail…

Fork of Pathetic Bar Chart

This example displays the top 10 most populous countries as a rudimentary bar chart with no axes, using a React component and SVG rendering. It loads United Nations World Population Prospects 2019 data from a CSV via `d3.csv`, slices the first ten rows, and maps populations for 2020 to rectangle widths using `d3.scaleLinear`, while `d3.scaleBand` positions each country vertically. The chart omits axis labels and titles, presenting only the bars against a blank canvas.

KKuladeep

96% match

Loading thumbnail…

Fork of Pathetic Bar Chart

This example displays the top 10 most populous countries as horizontal bars without axes, using the United Nations World Population Prospects 2019 dataset. The visualization loads CSV data with `d3.csv`, filters it to the first ten rows, and renders the bars as SVG `<rect>` elements. It employs `d3.scaleBand` for the y-axis country positions and `d3.scaleLinear` for the x-axis population values. The app is built with React, managing loading state via hooks `useState` and `useEffect`.

KKuladeep

96% match

Loading thumbnail…

Fork of Pathetic Bar Chart

This example displays the top 10 most populous countries as ranked bars, with no axes or labels, using a minimal bar chart layout. It loads United Nations World Population Prospects 2019 data via `d3.csv`, then sorts and slices the first ten rows. React state management (`useState`, `useEffect`) handles the asynchronous data fetch, while `d3.scaleBand` and `d3.scaleLinear` map countries and population values to SVG rectangles. The visualization renders in SVG, with bar widths proportional to 2020 population estimates.

Aanindyamehta@gmail.com

96% match

Loading thumbnail…

Fork of Pathetic Bar Chart

This example displays the top 10 most populous countries as a bar chart, deliberately omitting axes to create a "pathetic" minimalist aesthetic. The visualization uses React hooks to manage state and fetch data, while D3 v5’s `scaleBand` and `scaleLinear` handle positioning. Bars are drawn as SVG `<rect>` elements, with country labels and tick marks generated from the scales. The data comes from the United Nations World Population Prospects 2019, loaded via `d3.csv`. The chart intentionally lacks a functional x-axis, rendering only tick lines and values for a raw, unconventional look.

BBhavesh Choudhary

96% match

Loading thumbnail…

Fork of Pathetic Bar Chart

This example displays the top 10 most populous countries as a static, axis-less bar chart, using React for the user interface and D3.js for data loading and scaling. It fetches population data from the United Nations World Population Prospects 2019 via D3’s `csv` function, then maps the values using `scaleBand` for the categorical y-axis and `scaleLinear` for the numeric x-axis. The SVG rendering omits the axes, leaving only the bars and tick labels, which are generated from `xScale.ticks()`.

AAliaksandr

96% match

Loading thumbnail…

Fork of Pathetic Bar Chart

This example visualizes the top 10 most populous countries as horizontal bars with no axes, using React and D3 v5 to fetch and render the data. It displays United Nations World Population Prospects 2019 data by mapping country names to a `d3.scaleBand` y-axis and population values to a `d3.scaleLinear` x-axis. The SVG rectangles are rendered directly in JSX, with bar widths proportional to each country’s 2020 population estimate. The code uses `d3.csv` to load the dataset and React hooks (`useState`, `useEffect`) to manage the asynchronous data loading.

Mmrthnkwn

96% match

Loading thumbnail…

Fork of Pathetic Bar Chart

This example displays the top 10 most populous countries as a set of horizontal bars without axes or labels, emphasizing raw bar lengths. The visualization uses React with hooks to fetch and parse United Nations World Population Prospects 2019 data via d3.csv, slicing the first 10 records. It renders SVG rectangles, positioning them with d3.scaleBand for the categorical country axis and sizing widths with d3.scaleLinear for population values. The code includes grid lines with tick marks from xScale.ticks(), though tick text is positioned incorrectly, and the chart shows only the bars and gridlines.

UUtsav Khatu

96% match

Loading thumbnail…

Fork of Pathetic Bar Chart

This example displays the top 10 most populous countries as a bar chart with no axes, using React hooks to manage state and effects. The code loads UN World Population Prospects 2019 data via `d3.csv`, parses the 2020 population column, and renders SVG rectangles scaled by `d3.scaleLinear` for width and `d3.scaleBand` for vertical positioning. React handles rendering updates, while D3 v5 provides data loading and scaling utilities.

CCYBERFENRIR

96% match