Skip to main content
SimilarExport ZIP
100%

Activity_7

✓ Published0🌍 Public
Aaschowdary.shashi@gmail.com
Last edited Nov 7, 2024
Created on Nov 7, 2024
Forked from Hello VizHub

This pie chart visualizes fruit category proportions loaded from a GitHub Gist CSV file, with each slice labeled and colored using d3.scaleOrdinal with d3.schemeSet3. The D3 v7 code loads the data via d3.csv, converts values to numbers, and generates arcs with d3.pie and d3.arc. A custom legend, built as HTML divs, displays each category’s color and percentage. The SVG rendering includes white category labels positioned at slice centroids.

AI-generated description
MIT Licensed

Similar vizzes

Loading thumbnail…

Activity7

This visualization presents a pie chart illustrating the proportional distribution of fruit categories, with each slice labeled by its category name. The chart loads a CSV dataset from a GitHub repository, parsing the numeric values to generate the pie geometry. Using D3.js v7, the code defines the chart dimensions, creates an SVG container, and applies an ordinal color scheme for slice differentiation. A custom legend is appended to the page, using HTML divs to display each fruit category with its corresponding percentage value.

Aaschowdary.shashi@gmail.com
94% match
Loading thumbnail…

Activity 7.1

This pie chart displays the distribution of fruit quantities sold, with each slice representing a fruit type and labeled with its percentage of total sales. The visualization loads CSV data from a GitHub repository, converts the "Quantity Sold" field to numeric values, and uses D3.js v7's `d3.pie()` and `d3.arc()` generators to create the SVG arcs. A categorical color scale (`d3.scaleOrdinal` with `d3.schemeCategory10`) assigns distinct colors to each fruit, while percentage labels are positioned using `arc.centroid()`. A custom HTML legend below the chart maps each color swatch to its corresponding fruit name.

NNagalakshmi Thota
90% match
Loading thumbnail…

Activity_7.1 q1

This pie chart visualizes the distribution of student performance categories, with each slice labeled and colored according to its category. The visualization uses D3 v7’s `d3.pie()` and `d3.arc()` to generate the slices, while `d3.scaleOrdinal` with `schemeSet2` assigns colors. Data is loaded asynchronously from a CSV file hosted on GitHub Gist and rendered as an SVG, with a legend positioned to the right of the chart to identify each category.

Ssanjanaadapa7@gmail.com
88% match
Loading thumbnail…

Activity 7 Question 1

This visualization shows a pie chart of fruit quantities, with each slice labeled by fruit name and a color-coded legend on the left. It uses D3 v7 to load CSV data from a GitHub gist, calculating the arc paths with `d3.pie` and `d3.arc`. The chart includes fake X and Y axis labels for display, and text elements are positioned using `arc.centroid`. Colors come from `d3.scaleOrdinal` with `schemeCategory10`.

MMahimaChowdaryKasthala@my.unt.edu
88% match
Loading thumbnail…

Activity 7 Q1

This example shows a pie chart that visualizes categorical data loaded from a remote CSV file, with each slice colored using a categorical color scale and a legend pairing colors with category and subcategory labels. The chart is rendered as SVG using D3.js v6, where the `d3.pie()` generator computes slice angles and `d3.arc()` creates the path shapes. Data is fetched via `d3.csv`, and the color mapping uses `d3.scaleOrdinal` with `d3.schemeCategory10`. The code also adds axis labels (X and Y) that are not tied to the pie chart, acting as placeholders within the SVG layout.

Vvishnutejareddyambati@my.unt.edu
88% match
Loading thumbnail…

Activity_7

This example visualizes market share by category as a pie chart with a sorted legend showing each category’s percentage. It loads CSV data from a remote GitHub source, computes arc positions with `d3.pie` and renders slices via `d3.arc` into an SVG. A `d3.scaleOrdinal` with `d3.schemeCategory10` assigns colors, while the legend displays sorted percentages beside the chart. The code demonstrates D3 v6 loading via UNPKG and local ES6 module imports.

Gguruabhay294@gmail.com
88% match
Loading thumbnail…

Activity 6

This pie chart visualization displays the proportional breakdown of categorical data loaded from a remote CSV file. Constructed with D3.js v7, the SVG graphic uses `d3.pie` to compute arc segments and `d3.arc` for path geometry, with `d3.scaleOrdinal` and `d3.schemeCategory10` providing categorical colors. A legend, including color swatches and labels, is positioned on the left side, while the chart title appears above. The code loads data via `d3.csv` and renders all elements as SVG paths and text nodes.

AAP19110020041-Pavan Kumar
88% match
Loading thumbnail…

Activity7_1

This pie chart visualizes fruit sales distribution across four regions: North, South, East, and West. The visualization loads CSV data from a GitHub gist and uses D3.js v7's `csv`, `pie`, and `arc` generators to compute and render the SVG paths. Each slice is colored via a categorical color array and labeled with its region and value, with additional title, axis-style labels, and a legend legend positioned around the chart.

Aamarnadhkari98@gmail.com
87% match