Yaswanth_duddu_ICE7

Yaswanth_duddu_ICE7

This visualization displays a reusable scatter plot of the Palmer Penguins dataset, showing the relationship between bill length in millimeters and flipper length in millimeters, with each point colored by species. The chart uses D3 v7 to implement a custom scatterPlot factory function that creates distinct SVG symbols (circles, squares, and triangles) for each of the three penguin species. Axes include labeled scales for both measurements, and a legend maps each species to its corresponding shape and color using d3.schemeSet2. The data is loaded from a local CSV file using d3.csv with automatic type conversion.

89% match

Yaswanth_duddu_ICE7

This visualization displays a line chart comparing average flipper lengths across three penguin species from the Palmer Penguins dataset. The chart uses d3.group to organize data by species, with d3.line generating separate colored paths for each category. Axes are rendered using d3.axisBottom and d3.axisLeft, while a legend identifies each species. The reusable lineChart factory function demonstrates a modular approach with configurable margins and scales, rendering to SVG with D3 v7.

84% match

Yaswanth_duddu_Ice7

This example displays an area chart comparing flipper lengths across three penguin species (Adelie, Chinstrap, and Gentoo) from the Palmer Penguins dataset, with sample index on the x-axis and flipper length in millimeters on the y-axis. The visualization uses d3.area() to generate filled, semi-transparent areas for each species, colored via d3.scaleOrdinal with d3.schemeSet2. Axes are rendered using d3.axisBottom and d3.axisLeft, with a custom legend positioned to the right. Data preprocessing groups rows by species using d3.group before rendering the SVG output.

81% match

Yaswanth_Duddu_ICE7

This example displays a reusable pie chart showing category shares for a small retail dataset of six items like Grocery and Electronics, with hover tooltips revealing exact values. Built with D3 v7, the chart generates an SVG pie layout using `d3.pie` and arc generators, with slice labels placed along polylines and a separate legend. The code is structured as a configurable pie chart factory function, allowing flexible accessor settings for name and value, and supports responsive resizing within its container. A halo effect on labels and a fixed tooltip enhance readability.

79% match

Activity 7

This pie chart visualizes the species distribution within the Palmer Penguins dataset. The chart displays proportional slices for each species, colored via a categorical scale, with labels and a legend for identification. Built with D3.js, the visualization uses `d3.pie` to compute arc segments and an SVG `path` generator to render them. Data is loaded asynchronously from a CSV hosted on GitHub, and counts are aggregated using `d3.group`. The rendering relies on SVG shapes and text elements.

Hhui249378@gmail.com

pie chart

This pie chart displays the distribution of penguin species by count, using a dataset loaded from a CSV file. The chart is rendered as an SVG with each slice colored using a categorical color scheme, and it includes a legend that lists each species with its corresponding count. Built with D3.js v6, the visualization uses `d3.pie()` to compute the arc data, `d3.arc()` to generate the slice paths, and `d3.scaleOrdinal()` for color mapping. The chart is centered within a 500x500 pixel SVG canvas, with slices separated by white strokes for clarity.

Ddeekshakondam@gmail.com

Ppravalika.thogaru10@gmail.com

Data Visualization ICE6-Q2: Penguins Dataset Scatter Plot

This scatter plot visualizes the Palmer Penguins dataset, mapping flipper length on the x-axis against body mass on the y-axis, with each point colored by species (Adelie, Gentoo, or Chinstrap). The visualization uses D3 v6’s `scaleLinear` for axis scaling, `csv` for data loading, and SVG circles for marks, with axes generated via `axisLeft` and `axisBottom`. The chart also includes titles and axis labels to clarify the variables displayed.

pie chart

This pie chart visualizes the distribution of penguin species counts loaded from a CSV file. It uses D3.js v7, with the `d3.pie()` function to compute arc data and `d3.arc()` to generate the path geometry. Each slice is filled with a categorical color, and a legend identifies each species.

Ddeekshakondam@gmail.com