Fork of Refactored Bar Chart

100%

Fork of Refactored Bar Chart

✓ Published2🌍 Public

Last edited Mar 4, 2021

Created on Mar 1, 2021

This chart displays the aggregate number of move-ins per day of the week from a CSV dataset, with each day represented by a circle plotted on a linear scale. Built with React and D3 v6, the visualization uses `useState` and `useEffect` to load and refine the data, summing records by weekday. SVG elements render the axes and marks, with `scaleLinear` mapping values and the `Marks` component adding a native `<title>` tooltip. Axis components are generated manually from `yScale.ticks()` and `xScale.ticks()`, with labels formatted using `d3.format`.

AI-generated description

A program that loads in some D3 [data about CSS named colors] and uses React STATE to keep track

MIT Licensed

Similar vizzes

Loading thumbnail…

Fork of Fork of Refactored Bar Chart

This example visualizes CSS named colors as a scatterplot, showing the number of move-ins per day of the week from a CSV dataset. The chart uses React state to manage data loading and rendering, with D3 v6 functions like `scaleLinear` and `extent` to compute scales and domains. SVG circles render the aggregated data points, while custom React components handle axes and marks. The code includes formatting utilities like `format` and relies on `useEffect` and `useState` hooks for data fetching.

PPatrick Feldman

87% match

Loading thumbnail…

Fork of Fork of Refactored Bar Chart

This example shows the relationship between MoveOut and MoveIn counts for CSS-named-color-coded data, with MoveOut on the x-axis and MoveIn on the y-axis. The visualization uses React state to load and aggregate a CSV dataset, processing it with useData to combine totals by MoveDate. The chart is rendered with SVG, using d3.scaleLinear for both axes, d3.axisBottom and d3.axisLeft components, and d3.format for tick labels.

PPatrick Feldman

81% match

Loading thumbnail…

Fork of Stylized Bar Chart

This bar chart visualizes monthly Move-In counts across all stores, using horizontal bars ranked by month. The chart aggregates a CSV dataset of tenant move-in records, summing counts by month. Built with React and D3 v5, it uses `scaleBand` for the y-axis, `scaleLinear` for the x-axis, and renders SVG rectangles. Custom axes are generated via `AxisBottom` and `AxisLeft` components, with formatted tick labels abbreviating large numbers.

Ddjfeld01

81% match

Loading thumbnail…

Fork of refactoring bar chart with react and d3

This interactive bar chart displays population data for ten countries, sourced from a CSV file, using horizontal bars to encode each country's population value. Built with React and D3.js v7, the visualization renders entirely as SVG elements, with the `AxisBottom`, `AxisLeft`, and `Marks` components constructing the tick marks, axis labels, and rectangular bars. The chart uses D3's `scaleBand` for the categorical country axis and `scaleLinear` for the numeric population axis, while React's `useState` and `useEffect` hooks manage asynchronous data loading.

Mmeghshah612

77% match

Loading thumbnail…

E23 - Refactoring a Bar Chart

This bar chart shows the number of trips per region, rendered as horizontal bars using SVG within a React component. The code imports `scaleBand` and `scaleLinear` from d3 to map data to pixel coordinates, while React’s `useState` and `useEffect` handle asynchronous CSV loading via d3’s `csv` method. The `AxisBottom`, `AxisLeft`, and `Marks` components are separated for reuse, producing a clean, refactored visualization with a left margin aligned to the region labels.

VVanessa

77% match

Loading thumbnail…

Project: Bar Chart

This bar chart visualizes the number of music plays per day of the week, aggregated from Last.fm listening data. The chart displays seven bars, one for each weekday, with the y-axis representing play counts and the x-axis showing the days. Built with D3 v5, the visualization uses `scaleBand` and `scaleLinear` to map the data, and `axisLeft` and `axisBottom` for the axes. The data is loaded via a CSV file, which is processed in `loadData.js` to group plays by weekday.

OOxfordComma

76% match

Loading thumbnail…

Fork of Refactored Bar Chartasd

This example renders a scatterplot of YouTube channel data, plotting channels along the x-axis and their actual subscriber counts along the y-axis. The visualization uses React to structure SVG elements, with D3 v5 providing the linear scales and tick generation through `scaleLinear` and `extent`. The data is loaded asynchronously from a CSV file using `d3.csv` in a custom `useData` hook. Axes are built manually from scale ticks, while the marks are ten-pixel-radius circles positioned via the scales. The source data comes from a GitHub gist containing channel statistics.

AAhmeTyAtakan

75% match

Loading thumbnail…

Fork of HTML Starter

This example visualizes hourly data across a week using a grouped bar chart. Each bar represents a specific hour, with the dataset’s labels indicating days of the week. The chart is generated with Chart.js from raw data embedded in the script, using a canvas element for rendering. The visualization displays the distribution of values across the 24 hours, with a legend positioned at the bottom and an auto-scaling y-axis.

Aamauris@outlook.com

75% match