Fitness Data Pie Chart

Fitness Data Pie Chart

This pie chart displays the distribution of fitness goals from a CSV dataset, showing the percentage share of each goal category. The visualization uses D3.js (v7) to load the data, aggregate it with `d3.rollup`, and render the chart as SVG with `d3.pie` and `d3.arc`. A slice label shows the rounded percentage for each segment, while an ordinal color scale (`d3.schemeSet2`) and a custom legend identify the goals. The chart is centered within the SVG, with a white background and stroke separation between slices.

99% match

Fitness Data Pie Chart

A pie chart visualizes the distribution of fitness goals from a cleaned CSV dataset, showing the count of each goal category with color-coded slices and an accompanying legend. The D3.js v7 code loads the data via `d3.csv`, aggregates counts using `d3.rollup`, and renders the chart with `d3.pie` and `d3.arc`, applying a `d3.scaleOrdinal` with `d3.schemeSet2` for colors. Labels are placed at arc centroids, and the SVG output includes a legend built with appended rectangles and text.

98% match

Fitness Data Pie Chart

This pie chart visualizes the distribution of fitness goals from a cleaned CSV dataset, with each slice labeled directly on the chart and accompanied by a color-coded legend. The chart is rendered using D3.js v7 in an SVG container, with the data aggregated via `d3.rollup` to count occurrences per goal. The visualization employs `d3.pie` and `d3.arc` for the layout and shape generation, while `d3.scaleOrdinal` with `schemeCategory10` assigns slice colors. A gradient background and translucent chart container provide stylistic contrast, and the data is fetched asynchronously from a GitHub gist URL.

97% match

Fitness Data Area Chart

This area chart displays the total workout duration for each fitness goal, aggregated from a cleaned CSV dataset. The visualization uses D3.js v7 to load the data, compute sums with `d3.rollup`, and render a smooth monotone area path. A point scale positions goals along the x-axis, while a linear scale maps total durations to the y-axis, with axes and labels generated via `d3.axisBottom` and `d3.axisLeft`. The SVG output features a teal filled area, styled with a white background and minimal margins.

82% match

Fitness Data Scatter Plot

This scatter plot visualizes the relationship between calorie intake and protein intake from a fitness progress dataset loaded via `d3.csv`. It displays individual data points as pink circles, with hover effects that change their color and radius. The visualization uses `d3.scaleLinear` to map both axes, `d3.axisBottom` and `d3.axisLeft` for tick marks, and includes rotated axis labels. The SVG rendering features a gradient background and semi-transparent chart container, with data sourced from a GitHub Gist.

Fitness Data Reusable Scatter Plot

This reusable scatter plot visualizes fitness tracking data, plotting relationships between calorie intake, protein intake, and mental wellbeing scores from a CSV dataset. The chart uses D3 v7 to render SVG circles with configurable axes, margins, and data accessor functions. The code demonstrates a modular chart factory pattern with setters for width, height, and value fields, allowing users to easily swap which metrics appear on each axis. Axis labels update dynamically based on the selected fields, while steelblue semi-transparent points highlight distribution patterns without animation.

CChaturyaAkhilaPallem@my.unt.edu

PIE CHART pca

This example shows the distribution of BMI values from a loaded CSV dataset, categorizing individuals into underweight, normal weight, overweight, and obese groups as a pie chart. It uses D3 v7 to fetch and parse the CSV, compute category counts and percentages, and render the chart as SVG with a color scale and legend. The chart includes an interactive tooltip and highlights the proportion of each category, with the pie arc drawn using `d3.arc` and data bound through `d3.pie`.

SSathviKankanala@my.unt.edu

Pie Chart

A pie chart displays the average calories burned for each workout type—Cardio, HIIT, Strength, and Yoga—based on data from lifestyle.csv. The code uses D3 v7’s `d3.csv`, `d3.rollup`, and `d3.mean` to aggregate the data, then `d3.pie` and `d3.arc` to generate the SVG paths. A categorical color scale with `d3.schemeSet2` colors each segment, and labels are placed using `arc.centroid`. A legend is appended manually using D3 selections.