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question3.6

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Nnikhithaaitha22@gmail.com
Last edited Oct 23, 2024
Created on Oct 22, 2024
Forked from question3.6

A scatter plot displays sales data from a CSV file, plotting total sales on the x-axis and order numbers on the y-axis with circles colored by customer. The visualization includes axes, a legend, and interactive tooltips showing product and sales details. It uses D3 v6 APIs including `csv`, `scaleLinear`, `scaleBand`, `scaleOrdinal`, `axisLeft`, and `axisBottom`, with SVG rendering and the Tableau10 color scheme.

AI-generated description

An example showing the capabilities of VizHub:

  • Loads D3 via UNPKG.
  • Demonstrates use of import from "d3".
  • Demonstrates use of import from local ES6 modules.
MIT Licensed

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Question3

This scatter plot displays sales data, plotting total sales on the x-axis against order numbers on the y-axis, with each point colored by customer using an ordinal scale with the Tableau10 scheme. It loads a CSV from GitHub using d3.csv, renders circles in an SVG, and includes axes, a legend, and interactive tooltips that show product details on hover. The visualization uses d3.scaleLinear, scaleBand, axisLeft, and axisBottom for positioning and scaling.

Kkandulasunny17@gmail.com
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Activity6question3

This example visualizes a sales dataset as a scatter plot, plotting total sales on the x-axis against order numbers on the y-axis, with points colored by customer using `d3.scaleOrdinal` and `schemeTableau10`. A legend identifies each customer, and hover tooltips display product details and total sales. The chart loads CSV data from a GitHub repository via `d3.csv` and renders as SVG, using `d3.scaleLinear` for the x-axis, `d3.scaleBand` for the y-axis, and `d3.axisBottom` and `d3.axisLeft` for the axes.

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question-3

This scatter plot visualizes a dataset, mapping one attribute to the x-axis and another to the y-axis, with each point’s color representing a species category. The visualization uses the D3 library (v6) to load CSV data via `d3.csv`, scales the axes with `d3.scaleLinear`, and renders the points as SVG circles. Additional data fields for sales cost and rating are mapped to the circle’s `rx` and `ry` attributes, though they are not visually apparent in the default rendering. Axis labels are added using SVG text elements.

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Fork of Activity6_question3

This scatter plot visualizes sales data from a CSV file, showing the relationship between total sales and order number, with colors differentiating customers. It uses D3 v6's `scaleLinear`, `scaleBand`, and `scaleOrdinal` to map the data, rendering circles as SVG elements with axes, labels, a legend, and interactive tooltips that display product and sales figures on hover.

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84% match
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activity6_Q6

A scatter plot shows the relationship between two numeric columns from a CSV file of sales product details. The visualization uses D3.js v7 to load the data asynchronously, map values to linear scales, and render circles with an ordinal color scale based on a categorical group column. Axes and labels are generated using `d3.axisBottom` and `d3.axisLeft`, while the SVG canvas is sized and positioned via `d3.select` and `attr`.

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Activity 6 Q3

This scatter plot shows the relationship between sales amount and number of orders, with each point colored by product category (electronics, cosmetics, or clothing). The visualization loads CSV data from a GitHub gist, uses `d3.csv` to parse the dataset, and renders circles via SVG. It employs `d3.scaleLinear` for both axes, `d3.axisBottom` and `d3.axisLeft` for ticks, and a `d3.scaleOrdinal` to map categories to colors. A manually positioned legend explains the color coding at the bottom-right corner.

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activity 6 question 3

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Activity6_Question-3

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