based on gender , sleeplessness- avg anixety

Vvyjayanthimamidipalli@gmail.com

GroupedBarchart

This grouped bar chart compares anxiety levels across school grades and genders. The visualization displays clusters of bars for each grade, with individual bars representing male and female students, and color distinguishes anxiety severity categories. The code uses D3.js v7 with `d3.scaleBand` for grouping, `d3.scaleLinear` for the y-axis, and `d3.axisBottom`/`d3.axisLeft` for axes. Hover interactions trigger tooltip updates via `d3.select`. Data is pre-aggregated in the script, rendered as SVG using `d3.select` and `append` methods.

81% match

Ssarikakannikanti@gmail.com

sample

This bar chart visualizes the average number of social media platforms used by individuals, grouped by their self-reported anxiety level. The data, sourced from a CSV file on student grades and mental health, is filtered to remove missing or invalid entries. Using D3 v7, the code computes the mean number of platforms for each anxiety category with `d3.group` and `d3.mean`, then renders the results as an SVG bar chart. Bars are sorted in descending order and change color on hover, with axes and labels provided by `d3.axisBottom` and `d3.axisLeft`.

78% match

First Project Prototype – Sleep & Stress Bar Chart

This grouped bar chart shows how average sleep duration varies across three stress-level bins (low, medium, high) for females and males, revealing that higher stress corresponds to fewer sleep hours. Built with D3 v7 and React, the visualization loads CSV data via `d3.csv`, aggregates with `d3.rollups` and `d3.mean`, and renders SVG bars through `d3.scaleBand` and `d3.scaleLinear`. A Tableau10 color scale encodes gender, while value labels and a small legend clarify the comparison.

78% match

Ssarikakannikanti@gmail.com

Final project

This bar chart shows the relationship between students’ self-reported anxiety levels and their average grades, with anxiety ordered from “Very Low” to “Very High.” The visualization reveals how average grades shift across these five categories. Using D3 v7, the code loads a CSV from a GitHub gist, groups the data with `d3.rollup` to compute mean grades per anxiety level, and renders an SVG with `d3.scaleBand` and `d3.scaleLinear` axes. Bars change color on hover, and rotated x-axis labels improve readability.

77% match

Average Grade by Mental Health Status

This visualization shows the distribution of student anxiety levels as a pie chart, with each slice representing the proportion of students at a specific anxiety level. It uses d3.pie() and d3.arc() to render the pie, d3.scaleOrdinal() to assign colors, and d3.rollup() to count students in each anxiety category. Hovering displays a tooltip with the count and percentage, while clicking a slice populates a list of students in that anxiety level, showing their age, gender, sleep patterns, and stress levels. The data comes from a CSV file loaded via d3.csv().

Ddeekshakondam@gmail.com

First Project Prototype – Sleep & Stress Bar Chart

This scatter plot visualizes the relationship between sleep duration and stress level, with points colored by gender and dashed trend lines showing the per-group linear regression. It uses D3 v7 functions like `d3.scaleLinear`, `d3.axisBottom`, and `d3.scaleOrdinal` on an SVG canvas, loading survey data from a Kaggle CSV. A legend and hover tooltips reveal additional details, while the chart highlights how higher stress correlates with reduced sleep, particularly for females.

Sleep vs Stress × Gender (Filters + Error Bars)

This interactive visualization displays the percentage distribution of sleep disorders—None, Insomnia, and Sleep Apnea—across three stress-level bins (Low, Medium, High). A dropdown filter restricts the visual to All, Male, or Female respondents, dynamically updating the stacked bar chart and title with the selected gender and sample size. Built with d3.v7 and React, the chart uses D3’s `scaleBand`, `stack`, and `transition` APIs to animate bar segments, with tooltips showing exact counts and percentages. Data comes from the bundled `data.csv` file.

fork of Finishing Touches

This visualization shows a 100% stacked bar chart of sleep disorder prevalence across stress levels, using data from a sleep health and lifestyle dataset. The chart displays the proportion of people with no disorder, insomnia, or sleep apnea, with a gray and two blue color scheme to distinguish healthy from disordered sleep. Users can filter by gender and view only disorder categories through dropdown menus, while hovering reveals exact percentages via a tooltip. The implementation uses D3 v7 with d3.stack, d3.scaleOrdinal, and d3.axisBottom/Left to render the SVG with interactive animation.