Skip to main content
SimilarExport ZIP
100%

Fork of Fork of Fork of bar_char 4 refactoring

✓ Published1🌍 Public
TTanupat B.
Last edited Mar 19, 2022
Created on Mar 19, 2022

This bar chart displays the top 10 countries by population from UN Population 2019 data, loaded via D3’s `csv` utility. The visualization maps countries to the vertical band scale and population values to the horizontal linear scale, rendering SVG rectangles for each row. React manages the asynchronous data loading through a custom `useData` hook, while D3’s `scaleBand` and `scaleLinear` handle the coordinate mappings. The chart includes axis components built with D3 ticks, showing the underlying refactoring of reusable chart parts across multiple forks.

AI-generated description

A program that loads in some data about CSS named colors using D3 utilities, and uses React state to keep track of the data.

MIT Licensed

Similar vizzes

Loading thumbnail…

Fork of Bar Chart

This visualization displays the top 10 most populous countries as horizontal bars, using the UN Population 2019 dataset loaded via `d3.csv`. React state and hooks manage the fetched data, while `d3.scaleBand` maps countries to vertical positions and `d3.scaleLinear` maps population values to bar widths. The bars render as SVG `rect` elements within a React component, with a loading state shown before data arrives.

Zzenoalive
92% match
Loading thumbnail…

Fork of Fork of bar_char 3 axis

This horizontal bar chart displays the top 10 most populous countries in 2020, using data loaded from a CSV via D3’s `csv` utility. Bars are drawn as SVG rectangles, with a band scale for country names on the y-axis and a linear scale for population on the x-axis, including gridlines and tick labels generated from `xScale.ticks()`. React’s `useState` and `useEffect` manage the asynchronous data loading and rendering state.

TTanupat B.
92% match
Loading thumbnail…

Refactored Fork of Bar chart UN data

This example displays a horizontal bar chart of United Nations population data for the top 10 countries. It uses React with D3 v5's `scaleBand` and `scaleLinear` to map country names and population values to SVG rectangles. The chart is rendered directly as SVG elements, with axes built from D3's tick marks, and it loads its dataset from a CSV file using D3's `csv` function. The visualization maintains a fixed layout.

FFlorian Maas
92% match
Loading thumbnail…

Fork of Refactored Bar Chart

This fork of a refactored bar chart displays the top 10 most populous countries from the United Nations World Population Prospects 2019 dataset using React and D3 v5. Horizontal bars are rendered as SVG rectangles via the `Marks` component, scaled with `scaleBand` for the y-axis and `scaleLinear` for population values. The chart includes labeled axes using `AxisBottom` and `AxisLeft`, with population formatted using D3’s `format('.2s')`. Data is loaded asynchronously via `csv` and `useEffect`.

Pplusbeauxjours
92% match
Loading thumbnail…

Fork of Refactored Bar Chart

A bar chart displays the top 10 most populous countries for 2020, sourced from the United Nations World Population Prospects 2019 via a CSV file. The visualization uses React components with D3 v5 scales and shapes, rendering bars as SVG rectangles. The code constructs a band scale for countries and a linear scale for population, with custom React components for axes and marks, loading data through a `useData` hook that fetches and parses the CSV.

Cchar0496
92% match
Loading thumbnail…

Fork of Refactored Bar Chart

This example visualizes the top 10 most populous countries as horizontal bars, using SVG rendering within a React app. The chart displays population values against country names, with no axes initially, though it includes bottom and left axis components built from D3 scales. Data comes from the UN World Population Prospects 2019 CSV, loaded via `d3.csv`. The code uses React hooks (`useState`, `useEffect`) and D3 v5 functions like `scaleBand` and `scaleLinear` to position marks and axes, with all rendering handled by React elements.

KKRITIKA RAI DWIVEDI
92% match
Loading thumbnail…

Fork of Refactored Bar Chart

This fork of the refactored bar chart displays the top 10 most populous countries based on the United Nations World Population Prospects 2019 data. The chart uses horizontal bars with axes, rendered as SVG elements within a React application. The visualization employs D3 v5 scales for positioning, with `scaleBand` for the categorical y-axis and `scaleLinear` for the continuous population values on the x-axis. Data is loaded asynchronously using D3's CSV parser and processed through custom React components for axes and marks.

JJulienJacquot
92% match
Loading thumbnail…

Fork of Refactored Bar Chart

This example displays the top 10 most populous countries as horizontal bars, with country names on the left and a linear population scale along the bottom. It uses React to render SVG elements, with D3’s `scaleBand` and `scaleLinear` for positioning and scaling. The data comes from the United Nations World Population Prospects 2019, loaded via `d3.csv` and sliced to the first ten rows. Axes are custom components using D3 tick generation.

BBetty
91% match