Skip to main content
SimilarExport ZIP
100%

scatter plot iris

✓ Published1🌍 Public
Ppei9223
Last edited Sep 17, 2022
Created on Sep 17, 2022

This interactive scatter plot visualizes the Iris flower dataset, letting users compare four measurements (sepal and petal length and width) by selecting axes from dropdown menus. The code uses D3 v5 for scales and axes, builds the visualization with React, and loads data from iris.csv. It demonstrates dynamic axis updates and customizable tick styling on an SVG render.

AI-generated description

this bar chart shows population of the top 10 most populous countries. The data comes from the year 2018 estimate in United Nations: World Population Prospects 2017. It also demonstrates customization of D3 axes.

MIT Licensed

Similar vizzes

Loading thumbnail…

scatter plot iris-react

This interactive scatter plot visualizes the Iris flower dataset, showing the relationship between two selectable floral measurements (sepal/petal length and width) across three Iris species. The chart uses d3.scaleLinear and axis components to render axes and grid lines in SVG format. React manages the component structure, while jQuery handles dropdown selections for switching variables. The visualization reads data from a local iris.csv file, with each point representing an individual flower sample, though the variable selection and dynamic updating remain partially implemented.

Ppei9223
95% match
Loading thumbnail…

scatter iris

This interactive scatterplot displays the Iris flower dataset, plotting measurements like petal length and sepal width as SVG circles. Users can select which attributes to compare via dropdown menus, with axes and labels updating accordingly. The visualization combines React state management with D3 scales (d3.scaleLinear), axis components, and data loading via d3.csv. Styling uses Poppins typography and teal marks, while native SVG titles provide tooltips.

TTanupat B.
94% match
Loading thumbnail…

Iris Scatter Plot

This interactive scatter plot displays the classic Iris dataset, allowing users to compare any two measurements (sepal and petal length or width) by selecting them from dropdown menus. The visualization uses D3v5's `scaleLinear` and `extent` to compute axes, with a smooth 1-second transition between selections. Points are colored by Iris species (setosa, versicolor, virginica) using red, green, and blue, and the chart includes axis labels, gridlines, and a legend. The React-based code fetches data from a CSV file via `csv` and renders using SVG.

CChiuyc
94% match
Loading thumbnail…

Iris Scatter Plot v3

This interactive scatter plot visualizes the Iris dataset, plotting sepal and petal measurements against each other. Users can select different attributes for the x and y axes via dropdown menus, with each circular mark representing an individual flower. The visualization uses React components with D3 v7 scales (scaleLinear) and the extent function to compute domains, rendering SVG circles with hover tooltips. Data loads asynchronously from a CSV file using the d3.csv method.

JJohn Lewis
94% match
Loading thumbnail…

Iris Scatter Plot_0713316

This interactive scatter plot visualizes the classic Iris dataset, displaying the relationships between four flower measurements (sepal length, sepal width, petal length, petal width). Users can select which measurements appear on the x- and y-axes via dropdown menus, with points colored by iris species (setosa, versicolor, virginica). The visualization uses React for component state management and D3 v5 APIs including `csv` for data loading, `scaleLinear` for axis scaling, and `scaleOrdinal` for categorical coloring. Rendered as SVG with custom axes, the plot updates dynamically when users change attribute selections.

Xx112358
94% match
Loading thumbnail…

Iris Scatter Plot v2

This interactive scatter plot visualizes the Iris dataset, allowing users to explore relationships between sepal and petal measurements by selecting which attribute appears on each axis. The React-based interface uses dropdown menus to swap the x and y variables, while d3.scaleLinear and d3.extent handle the scales and domains. Data is loaded from a CSV file using d3.csv, and the SVG rendering uses custom React components for axes and circular marks.

JJohn Lewis
93% match
Loading thumbnail…

Scatter Plots

This interactive scatter plot visualizes the Iris Dataset, allowing users to compare any two of four flower measurements (sepal length/width, petal length/width) via dropdown menus. Points are colored by species using a predefined scale. The visualization uses D3 v5 scales (scaleLinear), axes (axisBottom, axisLeft), and data joins to update circles, while React dropdown components handle axis selection.

JJasonYeong0821
93% match
Loading thumbnail…

Iris Scatter Plot v5

This interactive scatter plot visualizes the Iris dataset, showing measurements of sepal and petal dimensions for three flower species. Users can select which attribute appears on each axis using dropdown menus, while points are color-coded by species with a legend on the right. The visualization uses D3 v7 scales and axes for positioning, React with hooks for state management, and renders points as SVG circles with native tooltips. Data is loaded as CSV and parsed by D3's csv loader.

JJohn Lewis
93% match