Skip to main content
SimilarExport ZIP
100%

Fork of Data Visualization- Scatter Plot with Iris DataSet

✓ Published1🌍 Public
Ppravalliyaram
Last edited Mar 7, 2022
Created on Mar 7, 2022

This visualization shows a scatter plot of the Iris dataset, mapping petal length and width for each flower sample, with points colored by species (setosa, versicolor, or virginica). The code loads the data via D3’s `csv` from a GitHub gist, parses numeric fields, and uses `scaleLinear` with `extent` to set x–y domains. It renders SVG circles via `selectAll` and `join`, and appends an axis on the left and bottom using `axisLeft` and `axisBottom`. The chart also includes rotated axis labels.

AI-generated description

A bare minimum HTML page demonstrating use of CSS and JavaScript.

See also React Starter.

MIT Licensed

Similar vizzes

Loading thumbnail…

Fork of Data Visualization- Scatter Plot with Iris DataSet

This scatter plot visualizes the Iris dataset, mapping petal length and petal width on the x- and y-axes, with points colored by species (setosa, versicolor, and virginica). It uses D3.js v6 APIs including `csv`, `scaleLinear`, `extent`, `axisLeft`, and `axisBottom` to load data, scale scales, and render axes. The visualization is built with SVG circles in a React environment, with a fixed radius, and includes rotated axis labels for sepal length and petal length, styled with a custom font.

PPrathyusha0304
95% match
Loading thumbnail…

Fork of Data Visualization- Scatter Plot with Iris DataSet

This scatter plot visualizes the Iris dataset, mapping petal length and width for individual flowers and coloring points by species (setosa, versicolor, and virginica). The D3 v6 code loads CSV data via `d3.csv`, scales positions with `d3.scaleLinear`, and renders circles as SVG elements with `d3.selectAll` and `.join()`. Axes are generated using `d3.axisLeft` and `d3.axisBottom`, while a custom switch statement assigns colors. The visualization also calculates redundant sepal measurements but does not display them, instead labeling the horizontal axis as petal length.

JJacky
95% match
Loading thumbnail…

Fork of Data Visualization- Scatter Plot with Iris DataSet

This scatter plot visualizes the Iris dataset, mapping petal length and width to the x and y axes while encoding sepal length and width as the horizontal and vertical radii of each circle. Points are colored by species (setosa, versicolor, virginica) using light blue, pink, and yellow. Built with D3 v6, it uses `scaleLinear`, `extent`, `axisLeft`, and `axisBottom` to construct axes, and loads data via `d3.csv` from a gist. The SVG rendering uses dynamic window dimensions and custom tick font sizing.

Vvarun-030
95% match
Loading thumbnail…

Fork of Data Visualization- Scatter Plot with Iris DataSet

This scatter plot visualizes the Iris dataset, mapping petal length and width on the x and y axes while coloring each point by species (setosa, versicolor, or virginica). The visualization uses D3 v6 APIs including `scaleLinear`, `extent`, `axisLeft`, and `axisBottom` to define scales and axes, rendering circles as SVG marks. Data is loaded asynchronously from a CSV file via `d3.csv`, and the chart fills the browser window, with tick labels styled at 24 pixels for readability.

RRamakanth771
94% match
Loading thumbnail…

Fork of Data Visualization- Scatter Plot with Iris DataSet

This visualization displays the Iris dataset as a scatter plot, mapping petal length on the x-axis and petal width on the y-axis. Each circle represents an iris flower, colored by species (blue for setosa, yellow for versicolor, green for virginica) using D3 v6 APIs including `csv`, `scaleLinear`, `extent`, and `axisBottom`. The SVG renders circles with a fixed radius, while sepal measurements are bound but not visually encoded. Data is loaded from a GitHub gist via CSV, with axes labeled and styled via CSS.

Ttejaswikalluri05
94% match
Loading thumbnail…

Fork of Data Visualization- Scatter Plot with Iris DataSet

This scatter plot visualizes the Iris dataset, showing petal length against petal width with points colored by species (setosa in blue, versicolor in red, virginica in green). It also reads sepal length and width values into each circle’s attributes, though the visual radius remains fixed. Built with React and D3 v6, the code uses `csv` to load data, `scaleLinear` and `extent` for scales, and `axisLeft`/`axisBottom` for axes, rendering circles and axis labels as SVG elements sized to the full window.

Ssaivinay143
94% match
Loading thumbnail…

Fork of Data Visualization- Scatter Plot with Iris DataSet

This scatter plot visualizes the Iris dataset, displaying petal length against petal width for three flower species, with each species colored differently. The visualization uses D3 v6’s `csv` loader, `scaleLinear`, and `axisLeft`/`axisBottom` functions to map data to SVG circles, with axis labels indicating the variables. Sepal measurements are also read into the data model, though not directly plotted. The chart is rendered in a full-window SVG with fixed margins and a large font for tick labels.

KKiran3295
94% match
Loading thumbnail…

Fork of Data Visualization- Scatter Plot with Iris DataSet

This visualization shows a scatter plot of the Iris dataset, using different colors to distinguish the three species (setosa, versicolor, and virginica). It maps petal measurements to the x and y axes while additionally encoding sepal measurements as the rx and ry attributes of each circle, creating a hybrid scatter plot. The code loads the CSV data via `d3.csv`, uses `scaleLinear` for axis scaling, and renders SVG circles with `selectAll` and `join`. Axis labels are added as text, with the petal axis rotated using `transform`.

Jjeffchengtw
94% match