Activity6_Task3.3

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Activity6_Task3.3

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Last edited Apr 11, 2024

Created on Apr 11, 2024

Forked from Analyzing crash data by operator

This scatter plot visualizes student performance by mapping math scores on the x-axis and reading scores on the y-axis, with each circle colored by gender (skyblue for female, lightgreen for male). The visualization uses D3 v6 APIs including `csv`, `scaleLinear`, `axisLeft`, `axisBottom`, and `select` to load data from a GitHub-hosted CSV and render SVG circles. Additional attributes for writing score and test preparation are stored but not visually encoded, while axis labels appear in green.

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Activity 6 Question 3

A scatter plot displays the relationship between Math and English scores for students, with each circle colored by gender (steelblue for male, deeppink for female). The visualization uses D3 v7's `scaleLinear` for axes, `d3.extent` for domain calculation, and `d3.scaleOrdinal` for color mapping. It renders as an SVG with a legend, axis labels, and a title, loading data from a remote CSV file via `d3.csv`.

Aanisha.peddireddy@gmail.com

88% match

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Activity 6 Question 3

This scatter plot visualizes the relationship between Math and English scores for individual students, with points colored by gender (steelblue for males, deeppink for females). It uses the D3.js library (v7) to load a CSV dataset from GitHub, apply linear scales to both axes, and render the chart as SVG. The visualization includes labeled axes, a purple title, and a legend, all positioned using calculated margins. The code leverages `d3.scaleLinear`, `d3.extent`, `d3.scaleOrdinal`, and `d3.axisBottom`/`d3.axisLeft` to construct the plot, with circles appended via `g.selectAll('circle').data(data).join('circle')`.

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Activity-6 Task-3 Question3.6

This example shows a scatter plot of student performance, comparing math scores against reading scores. Each circle represents a student, and color encodes the student’s race/ethnicity, grouped into three categories (Group A & B, Group C, Group D & E). The visualization uses D3 v6 to load CSV data from a GitHub repository, then renders SVG circles with `scaleLinear` axes for both scores. A legend identifies the three color groups, and axis labels are added via `axisLeft` and `axisBottom`, with text elements placed for the x- and y-axis titles.

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Question 3

A scatter plot shows the relationship between math and reading scores for students, with points colored by gender (blue for male, pink for female). Both axes range from 50 to 100, and the plot uses an ordinal color scale to distinguish genders. The visualization loads data from a CSV file via `d3.csv`, converts numeric fields with unary plus, and renders SVG circles using `d3.scaleLinear` for positioning and `d3.axisBottom`/`d3.axisLeft` for axes. Axis labels are added as SVG text elements.

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85% match

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Task - 3 Question 6

This scatter plot shows each student’s Math and English scores from a CSV file, with one colored circle per student. The chart uses D3.js v7 to create axes, grid lines, and labels, with an ordinal color scale mapping students to distinct colors. Circles animate by growing and turning red on hover, then revert to their original size and color on mouse-out. The plot is rendered as SVG with linear scales fixed to the 50–100 score range for both axes.

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Activity6_Task3

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Assignment Q1

A reusable scatter plot compares math and reading scores, with each student’s gender indicated by color. The visualization uses D3 v7’s `d3.csv` and `d3.autoType` to load the data, `scaleLinear` for axes, and `scaleOrdinal` for color mapping. Hovering reveals a tooltip with gender and scores, while an adjacent legend clarifies the encoding. The plot is rendered as SVG circles with `mouseover` and `mouseout` event handlers, demonstrating a modular chart-building pattern common in D3 examples.

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Activity_6 Question 3(6)

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