ICE-6 Bar Graph

100%

ICE-6 Bar Graph

✓ Published0🌍 Public

Last edited Mar 24, 2023

Created on Mar 23, 2023

Forked from Fork of Fork of ICE-6 Bar Graph

This bar graph shows average monthly rent prices for twelve US cities, with city names on the vertical axis and rent amounts on the horizontal axis. The visualization uses React hooks to manage state and fetch CSV data via `d3.csv`, then renders SVG rectangles scaled through `scaleBand` for the y-axis and `scaleLinear` for the x-axis. Grid lines are generated with `xScale.ticks()` and labeled using text elements. The data comes from a gist-hosted salaries CSV file, and the graph updates once the asynchronous data loading completes.

AI-generated description

A whole smiley face

MIT Licensed

Similar vizzes

Loading thumbnail…

ICE-6 Bar Graph

This bar graph displays the Rent Index for 12 global cities, comparing their relative rental costs. Built with React and D3 v5, it loads CSV data and renders an interactive SVG chart with horizontal bars. The code explicitly uses `scaleBand` for the city categories on the y-axis, `scaleLinear` for the numeric rent values on the x-axis, and manual axis tick generation with D3’s `ticks()` method. Grid lines are drawn as red vertical elements, and the data comes from a GitHub Gist URL.

Kkottenikhil

92% match

Loading thumbnail…

Fork of ICE-6: Rendering Marks and Channels with React & D3

This bar chart displays the average rent prices for 25 Moscow metro areas, using horizontal bars scaled linearly by price. It is built with React and D3 v5, using `scaleBand` for the categorical metro names on the y-axis and `scaleLinear` for the numeric rent values on the x-axis. The SVG rendering includes custom grid lines and tick labels generated from D3’s `scaleLinear` ticks. Data is loaded asynchronously from a CSV file via d3.csv, with the first 29 rows selected for display.

Mmanasanimmagadda13

84% match

Loading thumbnail…

ICE-6 Bar Graph

This bar graph displays the cost of living across different Amazon locations, comparing the basic monthly expenses for twelve countries. The visualization uses React to manage the state of the loaded data and renders the chart as an SVG. D3’s `csv` method fetches the dataset, while `scaleBand` and `scaleLinear` position the bars and axes. The code manually constructs the axis ticks and labels using D3’s `format` and `max` functions, with red gridlines marking each tick value along the x-axis.

Yyamunaunt

83% match

Loading thumbnail…

ICE-6: Rendering Marks and Channels with React & D3

The visualization shows the average house prices for fifteen U.S. cities, rendered as a horizontal bar chart using React and D3.js. It loads comma-separated data from a GitHub Gist, maps each city to a band scale on the y-axis, and linearly scales the price to the x-axis. The SVG output uses React DOM elements to draw the tick marks, axis labels, and price bars. The code leverages `d3.csv`, `d3.scaleBand`, and `d3.scaleLinear` to fetch and transform the data.

Kkarumanchimanasa

83% match

Loading thumbnail…

ICE-6 Bar Graph

This example presents a horizontal bar chart of retail sales data, showing the average basic monthly cost per country for a dataset of twelve nations. The visualization uses React with hooks to manage state, while D3 v5’s `scaleBand` and `scaleLinear` handle the axes and positioning. Data is loaded from a CSV file via `d3.csv`, and the rendering is done with SVG elements. The chart includes red gridlines, tick labels for both axes, and rectangular bars whose widths reflect the numeric cost values. The code explicitly imports functions like `axisLeft` and `axisBottom` but relies on manual tick generation for layout.

AArun

83% match

Loading thumbnail…

ICE-6 Bar Graph

This horizontal bar chart compares basic monthly Amazon service prices across twelve countries. The visualization uses React for component management and D3 v5’s `scaleBand`, `scaleLinear`, and `csv` loader to fetch and map the data. SVG rectangles encode each country’s cost, with red gridlines and tick labels generated via D3’s axis utilities. The data originates from a gist CSV containing per-country pricing, loaded asynchronously and sliced to the first twelve entries. The chart updates dynamically once the data is parsed, displaying a clean, minimal layout with a loading state beforehand.

MMgk1255

82% match

Loading thumbnail…

ICE_6_Bar_Graph

This example visualizes the average monthly cost of basic internet service across twelve countries using a horizontal bar chart, with country names on the y-axis and cost in dollars on the x-axis. The React component loads CSV data via `d3.csv` and renders the chart as an SVG, using `scaleBand` for the categorical y-axis and `scaleLinear` for the numeric x-axis. Red gridlines, generated from the x-axis ticks, extend across the plot area, while each bar’s width reflects the data value. The visualization omits axis labels and tooltips, keeping the focus on comparing costs directly from the raw data source.

Nnikhilagopi

82% match

Loading thumbnail…

ICE-6 Bar Graph

This example displays a horizontal bar chart of total revenue for twelve countries, loaded from a CSV file. Built with React and D3 v5, it uses `scaleBand` for the categorical y-axis and `scaleLinear` for the numeric x-axis. SVG rectangles are rendered for each bar, with gridlines and axis tick labels generated via `xScale.ticks()` and custom text elements. The data is fetched asynchronously using `d3.csv` and processed with a row function to convert revenue values to numbers.

Ggayathrikavya

82% match