Fork of Fork of bar_char 3 axis

100%

Fork of Fork of bar_char 3 axis

✓ Published1🌍 Public

Last edited Mar 19, 2022

Created on Mar 19, 2022

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.

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_char 2

This example visualizes the population of ten countries in 2020 using horizontal bars in an SVG rendered by React. It loads data from a CSV file via D3’s `csv` utility, parses the population column, and stores it in React state. A D3 `scaleBand` positions each country along the y-axis, while a `scaleLinear` maps population values to bar widths, with margins applied to the chart layout.

TTanupat B.

93% match

Loading thumbnail…

Fork of Fork of Fork of bar_char 4 refactoring

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.

TTanupat B.

92% match

Loading thumbnail…

Fork of fork

This example displays a horizontal bar chart of the top 10 most populous countries, using population data from 2019 loaded via `d3.csv`. The visualization is built with React and rendered as SVG, with `d3.scaleBand` positioning the country labels and `d3.scaleLinear` mapping population values to bar widths. Grid lines and tick marks are generated manually using `xScale.ticks()`, and axes are drawn with custom SVG elements rather than D3’s axis components. The chart updates reactively when the CSV data finishes loading.

RRamyapriyaPutta

91% match

Loading thumbnail…

Fork of Fork of Pathetic Bar Chart

This example displays the top 10 most populous countries as a bar chart with no axes, using React hooks and D3 v5. It loads population data from a CSV file hosted on GitHub, sourced from the United Nations World Population Prospects 2019. The visualization uses `d3.csv` to fetch and parse data, `d3.scaleBand` for the y-axis positioning, and `d3.scaleLinear` for the x-axis scaling. Rendered as SVG, it includes gridlines and tick labels from `xScale.ticks()`, with bars drawn as `<rect>` elements and country names as `<text>` labels.

MMohammed Banani | MbDev

91% match

Loading thumbnail…

Fork of Pathetic Bar Chart

This fork of the Pathetic Bar Chart displays the top 10 most populous countries as horizontal bars without axes. It uses React with a `useEffect` hook to load CSV data from the United Nations World Population Prospects 2019 via `d3.csv`. The visualization employs `d3.scaleBand` for the y-axis and `d3.scaleLinear` for the x-axis, rendering SVG rectangles and text labels. The code also generates tick marks and labels for the x-axis, though they lack visible axis lines.

Aalitemel89

91% match

Loading thumbnail…

Fork of Simple Bar Chart000000

This example displays a horizontal bar chart of the ten most populous countries for 2019, loaded from a CSV file via d3.csv. It renders the bars as SVG rectangles, positioning them with d3.scaleBand for the categorical country axis and d3.scaleLinear for the population axis. Gridlines and axis ticks are generated manually using d3's scale methods, with values formatted directly from the data. The chart is built using React components that manage state and lifecycle hooks to fetch and process the data before rendering.

Cchilukuritagore1427@gmail.com

91% match

Loading thumbnail…

Fork of Fork of fork1

This fork shows a horizontal bar chart of the top 10 most populous countries, using data from the year 2019. The visualization renders to SVG via React and uses D3's `scaleBand` and `scaleLinear` to map country names and population values to coordinates. Axes and grid lines are drawn using `axisLeft`, `axisBottom`, and `ticks()`. The dataset is loaded from a CSV URL, though the URL is empty in the code.

RRamyapriyaPutta

91% match

Loading thumbnail…

Fork of Pathetic Bar Chart

A fork of the Pathetic Bar Chart displays the top 10 most populous countries for 2020 as horizontal bars, using plain SVG rectangles with no axes. The chart renders React components that leverage D3 v5’s `scaleBand` for categorical positioning of countries and `scaleLinear` for population widths, while generating tick marks via `xScale.ticks()`. Data is loaded asynchronously from a United Nations World Population Prospects 2019 CSV, filtered to the first ten rows, and visualized with a left margin for country labels.

Zzyniax

90% match