Fork of Task 9 Question 2

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Fork of Task 9 Question 2

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Last edited Apr 30, 2024

Created on Apr 30, 2024

This example visualizes the relationship between wine pH and total sulfur dioxide concentration as an area chart, with the area filled in steel blue and axes labeled accordingly. The chart filters data from a WineQT CSV hosted on GitHub, computed with D3's `d3.area` and `d3.scaleLinear`. It renders in SVG via D3 v6, using `d3.csv` for data loading, `d3.axisBottom` and `d3.axisLeft` for axes, and includes a legend rectangle. The accompanying text explains a comparison of machine learning models for stock volatility forecasting.

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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Task 9 Question 2

This example displays a filled area chart visualizing the relationship between pH and total sulfur dioxide in wine samples from the WineQT dataset. The chart emphasizes the so-called "area" between the pH values on the x-axis and the sulfur dioxide measurements on the y-axis, filled with steelblue. The code uses D3 v6 and builds the visualization with an SVG element. It employs `d3.scaleLinear` for both axes, the `d3.area` generator to create the path, and `d3.axisBottom` and `d3.axisLeft` for ticks and labels, alongside a legend and axis titles. Data is loaded from a CSV file hosted on GitHub.

Ssasidhharreddy@gmail.com

91% match

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Activity 6_task3_question6

This scatter plot visualizes the relationship between free and total sulfur dioxide levels in wine samples, with each point colored and shaped according to wine quality rating. The code loads a WineQT dataset via `d3.csv`, scales both axes with `d3.scaleLinear`, and renders points as SVG paths generated using `d3.symbol()` with distinct shapes mapped to quality values. A custom color scale assigns a unique hue to each quality tier, while unlisted values fall back to gray. The chart uses `d3.axisBottom` and `d3.axisLeft` for labeled axes within an SVG container.

Cchandrikachowdary867@gmail.com

81% match

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Fork of task9(b)

This example shows an area chart of residual sugar measurements colored by wine quality, with the x-axis representing the row index in the dataset and the y-axis showing residual sugar values. The chart uses d3.area() to generate a single filled path in steelblue, with d3.scaleLinear for both axes and d3.axisBottom plus d3.axisLeft for tick marks. The SVG is rendered with D3 v7, rotating the x-axis labels to avoid overlap. The data is a static array of twenty objects with quality categories and residual_sugar values.

Vvandanakosuri@my.unt.edu

81% match

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Activity 6_question 3_task 1

A scatter plot visualizes wine quality against free and total sulfur dioxide concentrations. Each point uses a distinct color and shape to encode wine quality ratings from 1 to 10, with a legend mapping symbols to quality levels. The visualization loads a CSV from a GitHub repository, processes the data, and renders an SVG using `d3.scaleLinear`, `d3.axisBottom`, `d3.axisLeft`, and `d3.symbol` for custom point markers defined per quality value.

Jjampani921@gmail.com

80% match

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Tutorial_3_Question_6

This example visualizes the relationship between free and total sulfur dioxide levels in wine samples, using a scatter plot where each point’s color encodes wine quality. The chart is rendered with D3 v6 as an SVG, drawing circles with scales and axis helpers. It loads data from a CSV file hosted on GitHub and applies a custom color mapping for quality ratings. The visualization demonstrates basic D3 data binding, CSV parsing, and linear scaling.

Cchandrikachowdary867@gmail.com

79% match

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Activity6_question 4

This example displays a bubble plot visualizing the first 50 entries of the WineQT dataset, showing the relationship between free and total sulfur dioxide concentrations, with bubble size encoding wine quality and color representing the quality rating on a categorical scale. The visualization uses D3 v6 to load the CSV data from a GitHub repository, applies linear scales for the axes, and a square-root scale (`d3.scaleSqrt`) for bubble sizing. The SVG renderings are generated with `d3.axisBottom` and `d3.axisLeft` for tick marks, and points are drawn as `circle` elements with an ordinal color scheme (`d3.schemeSet2`) and an opacity of 0.7.

Ssasidhharreddy@gmail.com

79% match

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Activity 6_question 3_task 1

A scatter plot visualizes wine quality against free and total sulfur dioxide levels, encoding quality ratings through a custom color palette and D3 symbol shapes. The SVG chart uses d3.csv to load WineQT.csv data, d3.scaleLinear for axes, and d3.axisBottom/axisLeft for scales. Points are rendered as paths via d3.symbol(), with a legend matching quality values to colors and shapes. Grey serves as a fallback color for missing quality ratings.

Ssumanthpenna0221@gmail.com

79% match

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task9(b)

This area chart visualizes residual sugar levels for wine samples categorized as “bad” or “good” quality. Using D3.js v7, an SVG path is filled via the `d3.area` generator, mapping each data point’s index to a linear x-scale and its sugar value to a y-scale. Axes are added with `d3.axisBottom` and `d3.axisLeft`, with rotated x-axis tick labels. The dataset is embedded directly in the script, and the chart is rendered with a steelblue fill on a 600×400 canvas, with margins and no external data source.

Vvandanakosuri@my.unt.edu

78% match