Skip to main content
SimilarExport ZIP
100%

HumidityTutorial3

✓ Published2🌍 Public
Ppogirimayoor@gmail.com
Last edited Apr 11, 2024
Created on Apr 11, 2024

This visualization displays a scatter plot of the Iris Dataset, showing relationships between sepal and petal measurements with points colored by species according to a categorical color legend. It uses D3.js with `scaleLinear` for axes, `scaleOrdinal` with `schemeCategory10` for colors, and `selection.join` for data binding. The code loads data from a CSV file and renders circles with labels, employing modular functions for axes and color legend creation.

AI-generated description

A scatter plot of the Iris Dataset with a color legend.

See also:

MIT Licensed

Similar vizzes

Loading thumbnail…

Humidity Vs Temperature Scatter Plot with Color

This example visualizes the Iris Dataset as a scatter plot, mapping sepal length against sepal width. Data points are colored according to the species, with a categorical color legend identifying each group. The visualization uses D3.js `scaleLinear` and `scaleOrdinal` to construct the plot and color assignments, along with `axisBottom` and `axisLeft` for the axes. A custom `colorLegend` component displays the color-to-species mapping, while the data is read from a CSV file.

Ppadmeshnaik22@gmail.com
89% match
Loading thumbnail…

Task8_tutorial3

This scatter plot visualizes the Iris dataset, showing the relationship between sepal length and petal length. Each point is shaped according to the iris species—setosa, versicolor, or virginica—with a legend mapping shapes to species. Built with D3 v7, the code uses `scaleLinear` and `scaleOrdinal` to map data to positions and shapes, while `axisLeft` and `axisBottom` render the axes. Data is loaded via `fetch` and parsed with `csvParse`.

Ppogirimayoor@gmail.com
87% match
Loading thumbnail…

Tutorial-3

This scatter plot visualizes the Iris dataset, mapping petal and sepal dimensions with color-coded species. It loads the data via D3’s `csv` function from a GitHub gist and uses `scaleLinear`, `extent`, and `axisLeft`/`axisBottom` to build the axes. Circles are drawn in SVG with the `join` pattern, each colored by species (setosa, versicolor, or virginica). Axis labels are added as SVG text, with the visualization sized to the full window.

Ssathvikavancha@my.unt.edu
86% match
Loading thumbnail…

Tutorial 3.2

This scatter plot visualizes the Iris dataset, showing the relationship between sepal and petal length for three species. The d3.js code uses `scaleLinear` for the x- and y-axes, and `scaleOrdinal` with `symbolsFill` to distinguish species by shape (circles, squares, and other symbols). A custom legend component displays the symbol-to-species mapping, while the `axes` module renders labeled axes using `axisBottom` and `axisLeft`. Data is loaded asynchronously from a CSV file and parsed with `csvParse`.

Ppnamitha46@gmail.com
86% match
Loading thumbnail…

Activity_6_Tutorial_3.1

A scatter plot of the Iris dataset shows sepal length on the x-axis versus petal length on the y-axis, with each of the three species distinguished by color. The visualization uses D3 v7 with SVG rendering, employing `d3.scaleLinear` for axes, `d3.scaleOrdinal` with `d3.schemeCategory10` for species colors, and `d3.axisBottom`/`d3.axisLeft` for tick marks. Data is loaded asynchronously from a local CSV via `d3.csv`, and circles represent individual observations across 150 flowers.

Cchowdaryhemanth14@gmail.com
86% match
Loading thumbnail…

activity6_tutorial3.2

This visualization is a D3.js scatter plot of the Iris dataset, showing sepal length on the x-axis and petal length on the y-axis, with points colored and shaped by species. Using the `d3` library’s `scaleLinear`, `scaleOrdinal`, and `symbolsFill`, it encodes the categorical species variable through both color and shape, with a legend generated via the custom `shapeLegend` function. The plot leverages `join` operations and `axisLeft`/`axisBottom` for axes, and it loads data via `csvParse` from a remote URL.

Vvidiyalasahithi1999@gmail.com
86% match
Loading thumbnail…

Task8_Tutorialo3

This scatter plot visualizes the Iris dataset, displaying petal length on the x-axis and petal width on the y-axis, with each point colored by species (setosa, versicolor, or virginica). Using D3 v6, it loads CSV data via `d3.csv`, applies linear scales with `scaleLinear` and `extent`, and renders circles as SVG markers with attributes for radius and fill. The axes are generated with `axisLeft` and `axisBottom`, and custom text labels annotate both dimensions. The code also parses numeric fields and computes additional sepal-related variables, though these are not directly plotted.

Ppogirimayoor@gmail.com
86% match
Loading thumbnail…

tutorial 3

This scatter plot visualizes the Iris dataset, showing petal length against petal width with points colored by species (setosa, versicolor, and virginica) as skyblue, lightgreen, and orange. Circle markers also encode sepal dimensions through their `rx` and `ry` attributes, though they remain visually circular due to a fixed radius. The visualization loads data via `d3.csv` from a GitHub raw URL, uses linear scales (`scaleLinear`) with `extent` for domains, and renders axes with `axisLeft` and `axisBottom`. D3 v6 from UNPKG handles the SVG rendering and data joins.

Eeedaraajay02@gmail.com
86% match