Fork of Smiley Face Part II

100%

Fork of Smiley Face Part II

✓ Published0🌍 Public

Vvanquisher2000

Last edited Aug 6, 2021

Created on Aug 5, 2021

This example visualizes the top 10 countries by 2020 population using a bar chart, with countries arranged vertically and population values mapped to bar widths. The visualization is built with React and D3 v7, loading data from a CSV file via `d3.csv`. Scales are created using `scaleBand` for the categorical y-axis and `scaleLinear` for the numeric x-axis, with bars rendered as SVG `<rect>` elements inside a transformed group. The chart fills the browser window and updates dynamically once the data loads.

AI-generated description

Smiley face implementation with React.

MIT Licensed

Similar vizzes

Loading thumbnail…

Fork of Smiley face part 1

This visualization displays the populations of ten countries as horizontal bars, scaled proportionally to their population values. The chart uses D3's `scaleLinear` to map population data from a CSV file to pixel widths, with each bar's length representing its country's total population. The React-based rendering appends SVG `rect` elements to the canvas, and the data is preprocessed by multiplying the population values by 1000 before scaling.

Bbyiringirodalio

92% match

Loading thumbnail…

Fork of Pathetic Bar Chart

This example shows the top ten countries by 2020 population as horizontal bars, with bar lengths scaled proportionally to population size. The visualization uses React state to manage data loading and rendering, while D3 utilities load the CSV dataset and compute the scales. Specifically, `d3.csv` fetches the UN population data, `scaleBand` positions each country along the y-axis, and `scaleLinear` maps population values to bar widths on the x-axis. The chart renders as SVG rectangles inside a React component, updating once the data arrives and displaying a loading message beforehand.

TTaeyoung Ahn

87% match

Loading thumbnail…

Fork of Fork of Rendering Data with React

This bar chart displays the top 10 countries by projected 2020 population from a CSV dataset. It uses React’s `useState` and `useEffect` hooks to fetch and parse the data with `d3.csv`, then maps the data to SVG rectangles. D3’s `scaleBand` positions bars on the y-axis, while `scaleLinear` scales the x-axis based on population values from `d3.max`. The visualization is rendered using `ReactDOM`, producing generic colored rectangles without labels or axes.

AAnthony Zornig

87% 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

87% 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

86% match

Loading thumbnail…

Fork of react bar 2

This example shows a horizontal bar chart ranking the top 10 countries by 2020 population, with bars drawn as SVG rectangles inside a React component. The chart uses `d3.csv` to load UN population data from a gist URL, then transforms it with `scaleBand` for the y-axis and `scaleLinear` for the x-axis. The React app manages the data asynchronously via `useState` and `useEffect`, rendering a loading message until the data arrives. The visualization is a simple one: yellow bars extend from the left, sized proportionally to each country’s population.

MMalcolm Mead

86% match

Loading thumbnail…

Fork of Pathetic Bar Chart

This example visualizes the top 10 most populous countries using a bar chart with no axes, rendered as SVG elements. It loads population data from the United Nations World Population Prospects 2019 dataset via `d3.csv`, then uses React’s `useState` and `useEffect` hooks to fetch and store the data. The chart maps each country to a rectangle, sizing bars with `scaleBand` and `scaleLinear` from d3.v5, while the overall layout is managed through React and ReactDOM.

TTchea JiaWei

86% match

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.

86% match