Untitled

Untitled

This visualization displays salary range data from a CSV file, plotting each range as a rectangle with a fixed width of 300 and height of 500 pixels. The rectangles are rendered in steelblue using D3.js, with counts parsed from the data. The code uses D3’s `select` and `csv` methods to load and bind the dataset, but the rendering is incomplete as it does not position the rectangles based on salary values. A sidebar is included in the layout, along with basic styling for text elements.

93% match

Untitled

This visualization shows salary range distributions from a dataset, with each rectangle representing a salary bracket and its corresponding count. The code uses D3.js to load the CSV with `d3.csv`, parse the Count column, and bind the data to rectangles using `selectAll('rect').data()`. The implementation initializes a linear scale with `d3.scaleLinear` for the x-domain but does not yet apply it to the rectangle positions, leaving all bars fixed at 300×500 pixels. The SVG is rendered through the `index.html` and styled with CSS, while the sidebar layout is defined in `styles.css`.

88% match

Untitled

This example displays metadata for a Singapore tax returns dataset, reporting its file size, row count, and column count from a CSV file. The page presents this information as styled text, alongside a link to view the dataset and a background image. The code uses D3’s `d3.csv` to fetch the remote CSV, `d3.csvFormat` to serialize it for size calculation, and `data.columns.length` to count columns. The visualization emphasizes textual data summary rather than graphical charts.

IIndhuKrishnaraj

74% match

Salary - Scatterplot

This scatterplot displays the distribution of salary ranges against their corresponding employee counts, using a horizontal bar layout where each salary band’s length represents its frequency. The visualization employs D3 v5 with SVG rendering, using `scaleLinear` for the x-axis and `scaleBand` with padding for the categorical salary ranges on the y-axis. Axis labels are formatted with `format('5s')`, and the chart includes margins and a bordered SVG container. Data is loaded from a local CSV file using `d3.csv`.

74% match

Untitled

This example loads a CSV file from a GitHub Gist, reports its size in kilobytes, and displays the number of rows and columns in the parsed data. The page presents this information in a centered, light-blue text block above an inline SVG image. It uses the D3 v5 library’s `d3.csv` and `d3.csvFormat` functions to fetch and measure the dataset, and it manipulates the DOM via `document.getElementById` to update the display. Static HTML and a separate SVG file provide the visual layout.

SSrilekha24

Data Visualizer

This example displays a static SVG image of a salary-themed graphic alongside a text summary of a remote CSV dataset. The page uses D3 v7 to fetch the data via `d3.csv`, then formats and inserts a message showing file size in kilobytes, row count, and column count into a `<pre>` element. The SVG employs an `<image>` element with `xlink:href` to embed the external image, styled with grayscale and border effects. The dataset is loaded from a GitHub Gist URL, and the code uses `d3.csvFormat` to calculate the file size.

GGogineni44

Salary Data BarChart

This bar chart visualizes the distribution of salary ranges from a CSV dataset, showing the count of individuals within each salary bracket. It uses a horizontal bar layout with D3 v5, where the x-axis represents the count and the y-axis lists salary ranges. The chart is rendered as an SVG, utilizing D3's `scaleLinear`, `scaleBand`, `axisBottom`, and `axisLeft` APIs to map data and generate axes. The bars' lengths are proportional to the counts, with the data loaded via D3's `csv` function.

Salary Data BarChart