Skip to main content
SimilarExport ZIP
100%

Activity6-Task2

✓ Published0🌍 Public
Ss.harshinisai01@gmail.com
Last edited Apr 10, 2024
Created on Apr 10, 2024
Forked from Hello VizHub

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.

AI-generated description

An example showing the capabilities of VizHub:

  • Loads D3 via UNPKG.
  • Demonstrates use of import from "d3".
  • Demonstrates use of import from local ES6 modules.
MIT Licensed

Similar vizzes

Loading thumbnail…

Task2_Activity6

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.

Ssanjanadadi19@gmail.com
92% match
Loading thumbnail…

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().

DDeekshitha Annreddy
92% match
Loading thumbnail…

Activity_6_Task_2_Q2

This visualization uses a stacked bar chart to show petal lengths for different Iris flower species. The code renders horizontal bars for sepal width, petal length, and petal width, with color-coded segments for each species. It employs D3.js v7 with d3.stack for data transformation, d3.scaleBand for the y-axis, and d3.axisBottom for the x-axis. Interactive tooltips display petal length values on mouseover, using d3.select and event handlers. The data comes from the Iris flower dataset, with SVG rendering.

PPradhyumna Poralla
91% match
Loading thumbnail…

Activity6Question2

This stacked bar chart visualizes the Iris dataset, showing the average measurements of sepal length, sepal width, petal length, and petal width for each of the three iris species. The code uses d3.csv to load the data, d3.stack to group the four numeric attributes into layers, and d3.scaleBand and d3.scaleLinear to map species and cumulative values. Rendered as SVG, each colored segment represents one measurement category, with axes added via d3.axisBottom and d3.axisLeft.

Nneerajreddyaluka@gmail.com
91% match
Loading thumbnail…

Activity6_Task2 (question2)

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.

Gguruabhay294@gmail.com
91% match
Loading thumbnail…

Activity6_Task2

Iris measurements from the classic Iris dataset appear as horizontally stacked bars for each species, with four segment colors mapping the sepal and petal dimensions. The chart uses d3.stack and scaleBand to arrange layers per species, and hover tooltips reveal exact numerical values per segment. Axis ticks are drawn with d3.axisBottom, and the SVG rendering includes explicit axes, labels, and a color legend.

Ggsdontineni518@gmail.com
90% match
Loading thumbnail…

Fork of Activity6_Task2.3

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.

MMallikarjun Narra
90% match
Loading thumbnail…

Fork of Activity6_Q2.3

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.

Ssriyaalugupalli@my.unt.edu
90% match