Fork of Fork of question 3(Task 2)

Fork of question 3(Task 2)

This stacked bar chart visualizes the proportion of smartphone app usage across six age groups, from 18-24 to 65+, with each bar segment representing a category such as Social Media, Games, or Productivity. Built with D3 v7, the visualization uses `d3.stack()` to compute the stacked series from the `phones.csv` data and renders them as SVG rectangles. A linear `d3.scaleLinear` maps the usage proportions (0–1) on the x-axis, while a band scale positions the age groups vertically. Color encoding via `d3.scaleOrdinal` distinguishes the app categories, and an interactive legend lists each type alongside its corresponding color.

MMahimaChowdaryKasthala@my.unt.edu

96% match

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Fork of question 3(Task 2)

This stacked bar chart visualizes the proportion of smartphone app usage across six age groups, from 18-24 to 65+, with each bar segment representing a category such as Social Media, Games, or Productivity. Built with D3 v7, the visualization uses `d3.stack()` to compute the stacked series from the `phones.csv` data and renders them as SVG rectangles. A linear `d3.scaleLinear` maps the usage proportions (0–1) on the x-axis, while a band scale positions the age groups vertically. Color encoding via `d3.scaleOrdinal` distinguishes the app categories, and an interactive legend lists each type alongside its corresponding color.

MMahimaChowdaryKasthala@my.unt.edu

96% match

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Fork of question 3(Task 2)

This stacked bar chart visualizes the proportion of smartphone app usage across six age groups, from 18-24 to 65+, with each bar segment representing a category such as Social Media, Games, or Productivity. Built with D3 v7, the visualization uses `d3.stack()` to compute the stacked series from the `phones.csv` data and renders them as SVG rectangles. A linear `d3.scaleLinear` maps the usage proportions (0–1) on the x-axis, while a band scale positions the age groups vertically. Color encoding via `d3.scaleOrdinal` distinguishes the app categories, and an interactive legend lists each type alongside its corresponding color.

MMahimaChowdaryKasthala@my.unt.edu

96% match

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Fork of question 3(Task 2)

This stacked bar chart visualizes the proportion of smartphone app usage across six age groups, from 18-24 to 65+, with each bar segment representing a category such as Social Media, Games, or Productivity. Built with D3 v7, the visualization uses `d3.stack()` to compute the stacked series from the `phones.csv` data and renders them as SVG rectangles. A linear `d3.scaleLinear` maps the usage proportions (0–1) on the x-axis, while a band scale positions the age groups vertically. Color encoding via `d3.scaleOrdinal` distinguishes the app categories, and an interactive legend lists each type alongside its corresponding color.

MMahimaChowdaryKasthala@my.unt.edu

96% match

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question 1(Task 2)

This example shows the proportion of smartphone app usage across six age groups using a horizontal stacked bar chart. The bars are divided into segments for social media, games, productivity, streaming, and other apps, with a color-coded legend for identification. The chart uses `d3.stack` to compute the stacked bar coordinates and `d3.scaleBand` for the age-group axis. It reads data from the CSV file `phones.csv` and renders the chart as an SVG element. Color assignments are made with `d3.scaleOrdinal`.

MMahimaChowdaryKasthala@my.unt.edu

90% match

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Fork of Activity6_task 2- Q1

This example shows smartphone usage percentages across five age groups as a horizontal stacked bar chart, with four activity categories (Social Media, Gaming, Productivity, Communication) distinguished by color. The visualization uses d3.stack() to compute layered series from CSV data, then binds rectangles to each layer using data joins. A d3.scaleBand positions age groups on the y-axis, while a d3.scaleLinear maps percentages to x-axis positions. The chart includes axes with percentage tick formatting and a custom SVG legend built from the same ordinal color scale, rendered entirely as SVG elements.

PPreethamreddyannavaram@my.unt.edu

90% match

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Fork of Activity7:Question:2

This area chart shows total app usage hours aggregated across five age groups, from under 20 to 50+, using a synthetic dataset of 49 users with age and usage values. The visualization groups the data with `d3.group`, sums usage per group with `d3.sum`, and renders the result as a filled path using the `d3.area` generator. The SVG employs `d3.scaleBand` for the categorical x-axis, `d3.scaleLinear` for the y-axis, and both axes via `d3.axisBottom` and `d3.axisLeft`, with labels for age groups and usage hours.

Ssaivaishnogaruda@gmail.com

81% match

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Activity-6_Question-2.1

A stacked bar chart visualizes device usage proportions across five age groups, sourced from CSV data. It reveals how smartphone reliance decreases with age while tablet, laptop, and desktop usage generally increases. Built with D3 v7, the chart uses SVG rendering, a linear x-scale for percentages, a band y-scale for age categories, and an ordinal color scale. The stacked layers are created via `d3.stack()`, with tooltips showing exact percentages, and axes are formatted using `d3.axisBottom` and `d3.axisLeft`.

Hhoneyravuri.711@gmail.com

80% match