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assignment2

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CChiranjeeviUppala@my.unt.edu
Last edited Mar 26, 2025
Created on Mar 26, 2025

This visualization is a pie chart that displays the distribution of student groups for individuals with math scores greater than 70. The chart uses a categorical color scale to distinguish groups, with labels showing the group name and count on each slice, plus a legend on the right. It loads exam data from a CSV file via `d3.csv`, filters rows by the math score condition, and aggregates counts using `d3.rollup`. The chart is rendered with SVG paths generated by `d3.pie` and `d3.arc`, using `d3.scaleOrdinal` with `schemeCategory10` for coloring.

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ANSWER1

This pie chart displays the distribution of student test groups among individuals with a math score greater than 70, using data from a CSV file loaded via `d3.csv`. It visualizes group proportions as colored slices, with labels showing group names and counts, plus a legend. The chart is built with D3 v6, using `d3.pie`, `d3.arc`, and `d3.scaleOrdinal` for colors, and renders interactive SVG elements within a fixed-width container.

NNsaranya08
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assignment 2

This example shows a reusable pie chart of scores by name, rendered as SVG. It loads CSV data from a GitHub gist and converts the score field to numbers. The visualization uses a modular `pieChart` function with chainable accessor methods, building arcs via `d3.pie()` and `d3.arc()`, filling slices with a categorical color scale, and labeling each slice with its category name. The chart is centered within a 500x500 SVG using D3 v6.

CChiranjeeviUppala@my.unt.edu
83% match
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assignment 2

This example displays a pie chart visualizing scores associated with named categories. The chart distributes numerical score values as angular arcs, with each slice color-coded using an ordinal color scheme and labeled directly on the visualization; a supplementary legend maps names to colors. Built with D3 v6, the code loads JSON data, applies the `d3.pie` layout, and renders paths and text for slices via SVG.

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Student_education_Piechart

This pie chart visualizes student education levels and their associated math scores, using colored slices to represent each category. The chart is built with D3 v5 and rendered as an SVG, with the `pie()` and `arc()` generators creating the segments and the `scaleOrdinal` mapping colors to data. A legend on the right displays each education level alongside its corresponding math score. Data is loaded from a CSV file via a GitHub gist, and the code includes a video tutorial link in the README.

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Assignment 2

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ice7_task2_1

This pie chart displays the distribution of student attendance levels (high, medium, and low) from a CSV dataset of exam scores. The visualization uses D3 v7’s `d3.pie` and `d3.scaleOrdinal` to generate SVG slices with a color-coded legend and in-chart labels. Data is grouped by attendance percentage thresholds, and a note box provides context for the analysis.

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assignment

This pie chart visualizes the pass/fail distribution of students from a performance dataset. The D3.js code (using `d3.pie`, `d3.arc`, and `d3.rollup`) aggregates the `pass_fail` column into slice counts, with each slice labeled as a category and its percentage. A right-side legend, built with `d3.select` and dynamic HTML joins, lists each category and its raw value. The SVG rendering uses ordinal colors from `d3.schemeTableau10` and includes slice borders and white text strokes for readability.

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Assignment q2

This visualization displays a pie chart comparing average total scores by gender, computed from the StudentsPerformance 2.csv dataset. It uses D3 v7’s `d3.pie` and `d3.arc` to generate slices, with each gender’s average of math, reading, and writing scores aggregated via `d3.group` and `d3.mean`. The SVG rendering includes animated slice transitions through `transition.attrTween`, hover tooltips, and a legend, with a blue-red color scale distinguishing male and female results.

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