Convert Curran's Bar chart to Column Chart

100%

Convert Curran's Bar chart to Column Chart

✓ Published1🌍 Public

Last edited Sep 22, 2019

Created on Sep 22, 2019

This example displays the top 10 most populous countries as vertical bars, using a column chart format without axes or labels. The visualization loads population data from the United Nations World Population Prospects 2019 dataset via a CSV file. The React component fetches and processes the data with `d3.csv`, then renders SVG rectangles positioned using `d3.scaleBand` for the x-axis and `d3.scaleLinear` for the y-axis. The chart is built with d3.v5 and React 16.9, and the bar heights correspond to each country's 2020 population figures.

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…

Bar Chart

This example visualizes the top 10 most populous countries as horizontal bars using React and D3 v5. The chart lacks axes, displaying only labeled bars with lengths proportional to each country’s 2020 population estimate. Data comes from the United Nations World Population Prospects 2019 CSV file, loaded via `d3.csv`. The code uses `d3.scaleBand` for vertical positioning, `d3.scaleLinear` for bar widths, and renders SVG elements within a React component using hooks.

YYohR

90% match

Loading thumbnail…

Making Bar Chart

This example visualizes the top 10 most populous countries as a basic bar chart with no axes or labels, using population data from the United Nations World Population Prospects 2019. It loads CSV data with `d3.csv` and renders SVG rectangles with React, where each bar’s width is scaled by `d3.scaleLinear` and its vertical position uses `d3.scaleBand`. The chart updates after a brief “Loading...” state, driven by React hooks like `useState` and `useEffect`.

SSven

90% match

Loading thumbnail…

Refactored Bar Chart

This example shows the top 10 most populous countries from the United Nations World Population Prospects 2019 dataset as horizontal bars, with axes displaying country names and population values. The visualization uses React 16.9 and D3 v5, rendering SVG through React components. D3’s `scaleBand` and `scaleLinear` map the data to positions, while custom `AxisBottom` and `AxisLeft` components generate tick marks and labels. The `useData` hook loads the CSV and truncates it to ten rows before rendering the rectangles.

CCurran Kelleher

90% match

Loading thumbnail…

Bar Chart

This example visualizes the top 10 most populous countries from the United Nations 2019 population dataset using a simple bar chart. Each country appears as a horizontal bar sized by its 2020 population estimate, rendered as SVG rectangles. The app loads the CSV data with `d3.csv`, scales the values using `scaleLinear` and `scaleBand`, and builds the bars through React components. The implementation uses React hooks like `useState` and `useEffect` to manage asynchronous data loading, with bars positioned vertically and extending horizontally according to population counts.

AAndres Perdomo

90% match

Loading thumbnail…

Bar Chart - React, D3

A bar chart displays the top 10 most populous countries in 2020, using horizontal bars sorted by population. The visualization is built with React components and D3 scales (`scaleBand`, `scaleLinear`), rendering SVG rectangles for marks and custom axis components. D3’s `csv` loader fetches United Nations World Population Prospects 2019 data, with population formatted in billions. Tooltips show exact values via SVG `<title>` elements, while axes and labels are styled with CSS.

NNelson M

90% match

Loading thumbnail…

Stylized Bar Chart

This example displays the top 10 most populous countries as a horizontal bar chart, with country names on the y-axis and population on the x-axis. It is built using React and D3 v5, relying on `scaleBand` and `scaleLinear` for positioning, and SVG for rendering. The data comes from the United Nations World Population Prospects 2019 dataset, loaded via `d3.csv`. Axis components (`AxisBottom`, `AxisLeft`) and bar marks (`Marks`) are custom React components, with tooltips provided by SVG `<title>` elements and population labels formatted using `d3.format`.

CCurran Kelleher

90% match

Loading thumbnail…

Refactoring a Bar Chart

This example displays the top 10 most populous countries as horizontal bars, using population data from the United Nations World Population Prospects 2019. The React app loads the CSV with d3.csv and renders bars with SVG rect elements, scaling positions with d3.scaleBand and d3.scaleLinear. It also generates rudimentary axis ticks via d3.scaleLinear’s ticks method, despite lacking full axis labels or gridlines.

JJacob Potvin

90% match

Loading thumbnail…

Bar Chart

This bar chart displays the top 10 most populous countries using data from the United Nations World Population Prospects 2019. The visualization uses React with hooks to fetch and process the CSV data, then renders SVG rectangles scaled by population values. The code employs d3.csv, scaleBand, and scaleLinear to position bars and create x-axis ticks, though no y-axis labels are drawn. A loading state shows "Loading..." via a pre element until the dataset is ready.

CChiedu Egbumokei Jr

90% match