Activity-6_Question-2.1

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`.

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.

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.

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.

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.

PPreethamreddyannavaram@my.unt.edu

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.

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