A4_Bar-chart

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This bar chart visualizes average salaries across different job titles using data from a CSV file loaded via D3.js. It displays the distribution of salaries with vertical bars, where hovering over a bar highlights it in orange and shows a tooltip with the exact salary amount. The visualization uses D3 v6's `scaleBand` and `scaleLinear` for positioning, with axes labeled and rotated for readability. The chart is rendered as an SVG element inside an HTML page, with the data fetched from an external GitHub Gist containing job title and salary pairs.

JJorge Melchor

91% match

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This bar chart visualizes average salaries by job title, with each bar’s height mapped to the population value from a CSV file loaded via `d3.text`. Built with D3 v6 in a React framework, it uses `d3.scaleBand` and `d3.scaleLinear` to position rectangles, includes interactive tooltips on hover that change bar color, and renders axes with `d3.axisBottom` and `d3.axisLeft`. The SVG output is styled with rotated x-axis labels and a title.

A4_Bar-chart_LogScale

This bar chart visualizes average salaries by job title using a logarithmic y-axis, which makes it easier to compare values across a wide range, from 1 to $1,000,000. The chart is built with D3.js v6, using `d3.scaleBand` for the x-axis and `d3.scaleLog` for the y-axis, with bars colored steelblue that turn orange on hover. Tooltips appear on mouseover, displaying the job title and salary, while the x-axis labels are rotated for readability. Data is loaded from a CSV file containing job titles and salaries, and the visualization is rendered as an SVG element.

DDuc Pham

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This bar chart visualizes average salaries across different job titles, with each bar colored steel blue and turning orange on hover. Tooltips displaying the job title and salary appear when users mouse over bars. The visualization uses D3 v6’s scales, axes, and event handlers to render data fetched from a CSV file. Salaries are parsed from the data source and displayed with a rotated x-axis label, chart title, and axis names.

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This bar chart displays average salaries by job title, with a tooltip showing the exact salary on hover. The visualization uses D3 v6 to fetch a CSV file from a GitHub repository, parse the data, and render an SVG with scaled bars and axes. The code leverages `d3.scaleBand`, `d3.scaleLinear`, `d3.axisBottom`, and `d3.axisLeft`, with mouseover events that change bar color and reveal a tooltip displaying the job title and salary. The chart includes rotated x-axis labels and axis titles for clarity.

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This example displays a bar chart of average salaries by job title, with each bar colored steel blue and highlighted orange on hover. It fetches CSV data from a remote gist using `d3.text`, parses it into job title and salary pairs, and renders the chart as SVG via D3 v6. The visualization uses `d3.scaleBand` and `d3.scaleLinear` for axes, `d3.axisBottom` and `d3.axisLeft` for ticks, and includes a tooltip div that appears on mouseover showing the job title and formatted salary.

86% match

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This bar chart displays average salaries by job title for U.S. states, with each bar’s height representing the population value. The visualization uses D3.js v6 to fetch CSV data from a Plotly-hosted dataset, parse it client-side, and render an SVG with axes and tooltips. Hovering over a bar changes its fill to orange and reveals a tooltip with the job title and salary. The chart applies a band scale for categorical x-axis labels, a linear scale for the y-axis, and rotates tick labels for readability.

85% match