Skip to main content
SimilarExport ZIP
100%

Q1

✓ Published0🌍 Public
Ddeepthinaidu2001@gmail.com
Last edited Oct 26, 2025
Created on Oct 26, 2025
Forked from D3 Starter

A reusable scatter plot visualizes company performance by mapping Sales to the x-axis, Profit to the y-axis, and scaling circle radius to Expenses. Semi-transparent blue circles reveal data density and overlap. Built with D3.js v7, the example loads a CSV file via `d3.csv`, then uses `d3.scaleLinear` for axes, `d3.scaleSqrt` for proportional sizing, and `d3.axisBottom`/`d3.axisLeft` to render the chart in an SVG container.

AI-generated description
MIT Licensed

Similar vizzes

Loading thumbnail…

Q3

This scatter plot visualizes a dataset's sales quantity against sales cost. The visualization uses D3's `scaleLinear` to map data to pixel coordinates, `axisLeft` and `axisBottom` for the axes, and `csv` to load the remote dataset. Circle markers are colored by item category (Electronics, Cosmetics, or other) using a custom function. The chart renders as SVG, sized to fit the browser window, with green axis labels.

Jjangalaupender@my.unt.edu
81% match
Loading thumbnail…

Assignment_7_Q1

A reusable scatter plot compares monthly Sales against Profit, with points colored and shaped by region (North, South, East, West) using D3 v7 scales (d3.scaleOrdinal, d3.symbol). A tooltip appears on mouseover showing month, region, sales, and profit. The chart is built as a factory function (scatterPlot) with configurable margins and transition animations for point updates. Data comes from an inline CSV string parsed by d3.csvParse.

SSai Charan
81% match
Loading thumbnail…

Q4

This area chart displays monthly sales figures over time from a company performance CSV dataset. The visualization uses D3.js version 7.8.5 to load and parse the data, then renders a blue-filled area with a darker stroke line. It employs d3.scaleTime and d3.scaleLinear for the x and y axes, respectively, and constructs the shape using d3.area. The chart includes labeled axes for month and sales, with margins and an SVG viewport of 700 by 400 pixels.

Ddeepthinaidu2001@gmail.com
81% match
Loading thumbnail…

Company Data Scatter Plot

This scatter plot visualizes company data, showing the relationship between the number of employees and revenue, with the market value encoded by the size and color of each circle. The visualization uses D3 v6 APIs including `d3.csv`, `d3.scaleLinear`, `d3.scaleSqrt`, `d3.extent`, `d3.axisBottom`, and `d3.axisLeft`. Data is loaded from a remote CSV file, rendered as SVG circles on a linear scale for both axes, with a square-root scale determining the circle radius. The plot uses colorful circles colored via `d3.scaleOrdinal` with the `d3.schemeCategory10` palette.

Bbogasamudramvamsikrishnareddy
81% match
Loading thumbnail…

Scatter Plot

This example shows a reusable scatter plot of daily business metrics from a CSV file, plotting signups on the x-axis and revenue on the y-axis with a point for each date. The visualization is built with D3 v7 using the `d3.csv` loader and `d3.scaleLinear` for both axes, while `d3.axisBottom` and `d3.axisLeft` render the tick marks. Each circle is appended via `selection.selectAll().data().join()` with opacity and a fixed color, and the chart includes a title and axis labels. The code defines a reusable `scatterPlot` function to allow flexible customization of data columns and styling.

Mmaddulanagasanjana@gmail.com
79% match
Loading thumbnail…

Q1. Reusable D3 Scatter Plot

This interactive scatter plot visualizes car sales data, showing the relationship between price and various numerical attributes. The visualization cycles through three different x-axis variables—Horsepower, Mileage, and Year—every two seconds, keeping price on the y-axis. Built with D3.js (v6.7.0), the reusable `scatterPlot` module creates an SVG chart with animated transitions, axes, and a grid. Data is loaded from a CSV file using `d3.csv` and displayed as circles with a consistent fill color, with detected numeric columns automatically selected for the axes.

Mmaddineni2112@gmail.com
79% match
Loading thumbnail…

Q2

This pie chart displays the share of total sales per year from a `company_performance.csv` file. The chart renders as an SVG and uses coordinates loaded from the file, which are parsed with `d3.timeParse` and grouped by year with `d3.rollup`. Slice paths are generated via `d3.pie` and `d3.arc`, while colors come from `d3.scaleOrdinal` with the `d3.schemeTableau10` palette. Labels are positioned using the arc centroid, and a legend lists each year. The document references the D3 library (v7.8.5) via a CDN and an external data source hosted on GitHub Gist.

Ddeepthinaidu2001@gmail.com
79% match
Loading thumbnail…

Fork of Fork of Scatter plot

A scatter plot visualizes company financial performance from 2018 to 2030 using CSV data, encoding Revenue, Expenses, and Profit as colored circles whose size reflects employee count. D3 v7 API calls including `d3.csv`, `d3.scaleLinear`, and `d3.axisBottom` render the SVG chart, while mouseover events trigger a positioned tooltip showing metric details. A legend distinguishes the three financial metrics, and a secondary legend maps circle size to employee numbers.

Ssowjanya
78% match