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Task2_Activity6

✓ Published0🌍 Public
Ssanjanadadi19@gmail.com
Last edited Apr 5, 2024
Created on Apr 4, 2024
Forked from Hello VizHub

This stacked bar chart visualizes the distribution of four flower measurements—sepal length, sepal width, petal length, and petal width—across the three Iris species. Each horizontal bar represents a species, with segments proportional to the percentage of each measurement type. Hovering over a segment reveals the exact percentage via a D3 tooltip. The chart uses `d3.csv` to load the Iris dataset, `d3.stack` for stacking, and `d3.scaleBand` for the y-axis, with data rendered as SVG rectangles.

AI-generated description

The impact of genre on movie ratings

This stacked bar chart gives the percentage of each rating level within different movie genres. The aim is to show the impact of genre on movie ratings. When the mouse hovers over each bar, you can see pop-ups of accurate percentage of each rating level within each genre. Total percentage is 1, representing 100%.

MIT Licensed

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Activity6_Task 2.1

This stacked bar chart displays the percentage distribution of four iris flower measurements—sepal length, sepal width, petal length, and petal width—across the three iris species in the classic iris dataset. The visualization uses D3 v7 to load and parse the CSV data, then renders the stacked bars in SVG using d3.stack() and d3.scaleBand() for the categorical species axis. A d3.scaleLinear() maps the percentage values, and mouseover interactions trigger tooltips showing exact percentages via d3.format().

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This visualization displays the Iris flower dataset as a stacked horizontal bar chart, showing the contribution of four measurements (sepal length, sepal width, petal length, and petal width) for each of the three iris species. The chart uses a diverging color scale to distinguish the measurements and includes interactive tooltips that reveal the precise value of a measurement when hovering over a segment. The code loads D3 v7 via UNPKG and uses the `d3.stack()`, `d3.scaleLinear()`, `d3.scaleBand()`, and `d3.scaleOrdinal()` APIs to process and position the data, while rendering the final output as SVG.

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This stacked bar chart displays aggregate sepal measurements for three Iris species, showing sepal length and sepal width contributions for setosa, versicolor, and virginica. Using D3 v7, the visualization applies `d3.stack()` to layer the metrics, `d3.scaleBand` for categorical spacing, and `d3.scaleLinear` for the value axis. Hover interactions reveal species-specific values via a tooltip, with the CSV data rendered as SVG bars colored blue and orange.

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This interactive visualization presents a stacked bar chart comparing average flower measurements across three Iris species. The bars display four features—sepal length, sepal width, petal length, and petal width—for each species, with a color-coded legend identifying each feature. Hovering over any segment reveals a tooltip with the specific average measurement in centimeters. The chart loads CSV data via `d3.csv` and uses `d3.scaleOrdinal`, `d3.scaleLinear`, and `d3.scaleBand` to position elements, while `d3.stack` computes the aggregated bar segments. The SVG rendering includes horizontal gridlines from `d3.axisBottom` and custom styling.

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This stacked bar chart visualizes the Iris dataset, showing the distribution of four flower measurements (sepal and petal length/width) across three species. The visualization uses the d3.stack generator to create the layered bar segments, with d3.scaleBand and d3.scaleLinear handling the categorical and continuous axes respectively. Each species group displays four colored segments corresponding to the measurement variables, rendered as SVG rectangles within the D3.js v6 framework. The chart is interactive only through standard browser zoom, with axis labels and tick marks formatted using D3's axis functions.

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This stacked bar chart visualizes the mean measurements of sepal length, sepal width, petal length, and petal width for three iris species: setosa, versicolor, and virginica. Each horizontal bar represents a species, segmented into colored sections corresponding to each measurement type, with tooltips displaying exact mean values on hover. The visualization loads data from iris.csv using D3 v7, applying a linear scale for the x-axis and a band scale for the y-axis. It employs `d3.stack()` to compute stacked bar segments, `d3.scaleOrdinal()` for color encoding, and renders all elements as SVG with interactive mouseover tooltips.

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This stacked bar chart displays the percentage distribution of iris flower measurements (sepal length, sepal width, petal length, and petal width) across the three iris species. The visualization uses d3.v7 with d3.stack() to stack the percentage values for each species, d3.scaleBand for the categorical y-axis, and d3.scaleLinear for the percentage x-axis. A color scale maps each measurement type to a distinct color, and the chart includes hover interactions that display tooltips showing the exact percentage values for each segment.

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