Assignment 2

Fork of Assignment 2 - Pie Chart

This visualization presents vehicle registration counts as a pie chart, using a dataset from a GitHub repository. The chart is built with D3 v5 and rendered as SVG elements. The code employs D3's `pie`, `arc`, and `scaleOrdinal` APIs to generate the chart segments and apply a categorical color scheme. Each slice displays its value in thousands, and a legend identifies the vehicle types. The visualization highlights the distribution of registrations across different vehicle categories, with colors distinguishing each type.

90% match

Question 1

This pie chart displays vehicle registration counts by type, using color-coded sections with value labels and a legend that pairs each category with its numeric count. The chart is rendered as an SVG using D3 v5, loading data from a CSV file via the `d3.csv` function. The visualization employs D3's `pie`, `arc`, and `scaleOrdinal` APIs to generate the sectors and colors, while the legend and labels are built using D3's `select` and `append` methods. The styling is defined in a separate CSS file, and the code demonstrates the use of ES6 modules for data fetching and rendering.

Eeedaraajay02@gmail.com

88% match

Llokeshchowdary465@gmail.com

piechart question1LB

This pie chart visualizes vehicle registration counts by type, with each slice labeled with its abbreviated value (e.g., "15K) and accompanied by a color-coded legend showing both the category name and exact count. The chart loads CSV data from a GitHub gist using `d3.csv`, then constructs the pie with `d3.pie`, `d3.arc`, and `d3.scaleOrdinal` for color mapping, while text labels are positioned via `arc.centroid`. Rendered as SVG, the visualization uses D3 v5 selection methods to append paths and legend elements.

Nnarasimhacharyulu010@gmail.com

A donut chart displays vehicle registration counts by type, fetched from a CSV via `d3.csv`. Using `d3.pie` and `d3.arc`, it renders SVG slices with proportional labels, a legend with colored swatches, and value formatting via `d3.format`. The chart is positioned with SVG transforms, using ordinal colors for categories.

Vvarshithainaganti@gmail.com

Activity_7.1_Question_1

This pie chart displays vehicle types and their registration counts, with proportional slices labeled in thousands and a corresponding color-coded legend. It loads CSV data from a GitHub gist, calculates the pie layout using `d3.pie`, and renders SVG paths with `d3.arc`. The visualization uses `d3.scaleOrdinal` for slice colors, formats values with `d3.format`, and appends legend rectangles and text labels. The chart is centered in an SVG and includes a title, with values shown numerically inside each segment.

Question 1

This visualization displays vehicle registration counts by type as a donut pie chart with an interactive legend. The chart shows four categories with proportional slices and displays the value in thousands inside each segment, while the legend on the right lists each vehicle type with its corresponding color and count. Built with D3 v5, the code uses the `pie` function to compute arc segments, `arc` for path generation, and `scaleOrdinal` for color mapping, fetching data from a remote CSV file. The SVG output is styled with custom CSS classes for the legend text and labels.

Question 1

This example visualizes vehicle registration counts by type as a pie chart. The code loads CSV data from a GitHub repository using `d3.csv` and maps the `Count` values to arc segments generated with `d3.arc` and `d3.pie`. Each slice is labeled with its value (formatted using `d3.format`), and a legend lists the vehicle types alongside their counts. The chart is rendered as an SVG with `d3.select`, with ordinal color scaling via `d3.scaleOrdinal` for the four categories.

86% match

Fork of Question 1

This visualization displays vehicle registration counts by type using a pie chart and accompanying legend, with values formatted in thousands (e.g., "5K"). The code loads data from a CSV file, uses `d3.pie` to compute arc segments, and renders the chart as SVG paths via `d3.arc`. Colors are assigned using `d3.scaleOrdinal` with a custom palette. Text labels and legend entries are added with `d3.select` and `.append()`, while axis labels are manually positioned, though no actual axes are drawn. The title "Vehicle Registrations" appears in red above the chart.