dv.25 - scatter plot: petals

dv2020-ep25-viz25 - scatter plot

A scatter plot of the Iris Dataset shows petal length on the x-axis and sepal width on the y-axis, with semi-transparent circular marks. Built with React and D3 v5, it uses `scaleLinear` with `.nice()` for continuous scales, custom `AxisBottom` and `AxisLeft` components for tick rendering, and a `Marks` component that maps data to SVG circles with native `<title>` tooltips. The visualization loads CSV data via D3's `csv` function and displays axis labels for both dimensions.

Zzach b.

Scatter Plot

This interactive scatter plot displays the Iris dataset, plotting petal length against sepal width for individual flowers. The visualization is built with React and rendered as SVG elements, using D3 v7 scales (d3.scaleLinear) and axes. Each data point is a circle with a radius of 10, and hovering reveals the petal length as a native tooltip. The code uses d3.extent to set domains, d3.csv for data loading, and d3.format with a custom tick formatter that replaces 'G' with 'B' for axis labels.

Aangelathacker123

Scatter Plot - Iris

This scatter plot visualizes the Iris dataset, mapping petal length against sepal width for individual flowers. The code uses React with D3 v5 utilities, including `scaleLinear`, `extent`, `csv` for data loading, and `format` for axis tick labels. Rendered as an SVG, it includes custom AxisBottom and AxisLeft components that generate ticks and gridlines, while Marks component draws circles with native tooltips via the `<title>` element. Data is fetched from a remote CSV file and parsed into numeric values during loading.

SSai Phaltankar

Scatter Plot

This scatter plot visualizes the Iris dataset, mapping petal length against sepal width for individual flowers. Built with React and D3 v5, it uses `scaleLinear` to create axes and renders circles as SVG marks. The `axisBottom` component formats tick labels with D3's `format` function, while tooltips display values via SVG `<title>` elements. The data loads asynchronously from a CSV using D3's `csv` parser.

Llefat92

Scatter Plot

This scatter plot visualizes the Iris dataset, displaying petal length against sepal length for individual flowers. The visualization uses React with D3 scales (`scaleLinear`, `extent`) to map data values to SVG coordinates, with custom axis components generating tick marks and labels. The D3 CSV loader fetches the data from a remote gist, while circles with 0.6 opacity represent each observation. The chart includes labeled axes and applies `nice()` to domain padding for cleaner tick intervals.

AAnkit5ingh

Scatter plot

This scatter plot visualizes the Iris dataset, mapping petal length and width for each flower and coloring points by species (setosa, versicolor, virginica). The visualization uses D3 v6 within a React setup, loading CSV data via `d3.csv` and rendering SVG circles. Axes are created with `d3.axisLeft` and `d3.axisBottom`, while scales use `d3.scaleLinear` and `d3.extent`. The chart also includes axis labels, but notably, the x-axis text incorrectly labels petal length as "Sepal_Length," and the circle attributes include non-standard `rx` and `ry` properties.

Kkakumanusreya

Iris Scatterplot

This scatterplot visualizes the Iris dataset, plotting petal length against sepal width for individual flowers, with hover tooltips revealing exact measurements. The chart uses React with D3 v7, employing `scaleLinear` for axes and `extent` for domain calculation, while SVG circles render the data points. Axis components generate ticks and labels through D3's `ticks()` method. The visualization uses `d3.csv` to fetch and parse the dataset, with marks styled using CSS classes and a Poppins font.

JJames Rhodes

scatterplot

This scatterplot visualizes the Iris dataset, plotting petal length on the x-axis against sepal width on the y-axis. Built with React and D3 v7, it uses d3.scaleLinear to map data values to SVG coordinates, rendering circles with tooltips. The chart includes custom axes via d3.ticks, with axis lines and labels styled through CSS. Data is loaded asynchronously from a CSV file using d3.csv.

BBlake McCarty