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Question 2

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Cchintamanenithp@gmail.com
Last edited Apr 14, 2024
Created on Apr 14, 2024
Forked from Hello VizHub

This visualization uses the classic Iris dataset to display flower measurements as horizontal bar charts. The chart is implemented with D3 v7, using `d3.scaleBand` for species categories on the y-axis and `d3.scaleLinear` for measurement values on the x-axis. Each rect bar is colored by species via an ordinal color scale, and hovering over a bar reveals a tooltip showing the attribute, species, and value. The graphic also includes a legend and axis labels, with data loaded from a CSV file.

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question 2

This visualization displays the Iris dataset as a stacked bar chart, breaking down sepal and petal measurements for each species. It uses D3 v6 functions `d3.csv`, `d3.stack`, `scaleBand`, and `scaleLinear` to aggregate and position the bars. The SVG output is rendered with `d3.select` and the `join` operator, while axes are drawn using `d3.axisBottom` and `d3.axisLeft`. A linear color scale maps attribute indices to a two-tone palette, distinguishing the four measurement categories.

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question_2

This example visualizes the classic Iris flower dataset, plotting petal and sepal lengths for each species along a horizontal axis. It uses D3.js v7 with a band scale for the categorical species on the y-axis and a linear scale for length. Circles are rendered in SVG, with petal lengths in steel blue and sepal lengths in green. Hovering changes a circle's fill color. The code loads data via `d3.csv` and uses `d3.scaleLinear`, `d3.scaleBand`, `d3.axisBottom`, and `d3.axisLeft` to construct the chart.

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question2.1

This visualization shows a stacked bar chart of the Iris dataset, displaying the total sepal and petal measurements for each species. The chart uses d3.stack() to aggregate the four numerical attributes into color-coded segments per species, with a tooltip showing individual segment values on hover. The visualization renders with SVG, using d3.scaleOrdinal for colors, d3.scaleBand for the species axis, and d3.scaleLinear for the measurement axis. A legend identifies each attribute, and the data is loaded from an external CSV file using d3.csv.

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question 2

This stacked bar chart visualizes the proportion of sepal length and sepal width measurements across three iris species, demonstrating how these attributes vary by category. Each species is represented as a full-height bar segmented into two colored sections, with the y-axis showing the summed measurement values. The visualization uses d3.stack() to construct the stacked series and d3.scaleBand with d3.scaleLinear for positioning. Hovering over any segment triggers a tooltip displaying the species and exact value, while d3.axisLeft and d3.axisBottom label the axes. Data comes from the included CSV file.

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Task2_Question

This example visualizes the Iris dataset as a stacked bar chart, where each bar represents one of the three iris species and is divided into segments corresponding to sepal length, sepal width, petal length, and petal width. The chart uses D3 v7 to load the data from a CSV file, stack the four measurement categories, and render them as color-coded rectangles on an SVG canvas. The code demonstrates d3.csv for data loading, d3.scaleBand for the x-axis, d3.scaleLinear for the y-axis, d3.scaleOrdinal for colors, and d3.stack for computing the stacked segments.

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task 2 question 2

This example visualizes the percentage distribution of iris flower measurements (sepal length, sepal width, petal length, and petal width) across three species: setosa, versicolor, and virginica. It renders a stacked horizontal bar chart in SVG, with each bar representing a species and colored segments showing proportional contributions of each measurement type. The code uses d3.stack() to compute the stacked values, d3.scaleOrdinal() for color mapping, and d3.scaleLinear() and d3.scaleBand() for positioning. Interactive tooltips display precise percentage values on mouseover, with data loaded from the built-in Iris dataset.

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question2

This stacked bar chart visualizes the Iris dataset, showing the average measurements of sepal length, sepal width, petal length, and petal width for three Iris species: setosa, versicolor, and virginica. Using D3.js v7, the visualization applies `d3.stack()` to arrange the four numerical attributes as stacked segments within each species category. The code uses scale bands and linear scales for positioning, with color encoding via `d3.scaleOrdinal` and the Category10 color scheme. The resulting SVG provides a compact comparison of the relative contributions of each measurement type across species.

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Activity 6_Question2

This visualization depicts the distribution of the Iris dataset across three species, showing the percentage of each species. It employs a stacked bar chart to display the proportions, with each bar representing a species and colored segments for each species type. When hovering over a segment, a tooltip reveals the exact percentage. The code uses d3.stack, d3.scaleOrdinal, d3.scaleLinear, and d3.scaleBand to construct the chart, with a custom tooltip for interaction. The visualization is rendered as SVG.

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