HW1 : Interactive Polished Scatter Plot with Menus and Colors and Color Legend

HW1 : Polished Scatter Plot with Menus and Colors and Color Legend

This interactive scatter plot visualizes the Iris dataset, letting users explore relationships between sepal and petal measurements by selecting different attributes from two dropdown menus. The visualization uses d3.scaleLinear for axes, d3.scaleOrdinal to map species to colors, and displays a color legend for the three Iris species. Built with React and D3 v7, it renders SVG circles with hover tooltips showing x-values, while React state (useState) handles the user’s menu selections to update the chart dynamically.

97% match

Interactive Polished Scatter Plot with Menus and Colors and Color Legend

This interactive scatter plot visualizes the Iris dataset, allowing users to explore relationships between four flower measurements through dropdown menus that switch the X and Y axes. Points are colored by species, with a color legend that fades non-hovered points for focused comparison. Built with React and D3 v7, the visualization uses D3's `scaleLinear` for axes and `scaleOrdinal` for categorical colors, rendering points as SVG circles. The code leverages React state for user selections and D3 utility functions like `csv` to load and parse the data.

94% match

Interactive Polished Scatterplots with Menus and Color

This interactive scatterplot explores the Iris dataset, displaying four numeric flower attributes and using color to encode species. Users can select which measurements appear on the x- and y-axes via dropdown menus. The visualization features hover interactions that highlight points of a specific species in the legend. Built with React and D3 (d3.v7), it uses `scaleLinear` and `scaleOrdinal` for axes and color, with SVG rendering and custom components for axes, marks, and a color legend.

Rrmgoldberg24

92% match

Polished Scatter Plot with Menus and Colors and Color Legend

This interactive scatter plot visualizes the Iris dataset, allowing users to explore relationships between sepal and petal measurements. It uses React state to track the selected axes, dynamically updating the chart when users change the X and Y dropdown menus. The visualization renders as an SVG, with each species color-coded via a `d3.scaleOrdinal` color scale, and includes a color legend to identify species. D3’s `scaleLinear` handles the continuous axes, while custom `AxisBottom` and `AxisLeft` components render the ticks.

HW1 Scatter Plot

This interactive scatter plot visualizes the Iris flower dataset, letting users explore relationships between four numeric attributes by selecting which ones appear on the x- and y-axes via React dropdown menus. Each point represents a flower, colored by species according to a d3.scaleOrdinal mapping. The visualization uses React components to render SVG elements, with d3.scaleLinear for axes and d3.extent for domains. The code loads data from a CSV file using d3.csv and renders custom axis components with tick marks.

EEast007

Polished Scatter Plot with Menus, Color and Legend

This interactive scatter plot visualizes the Iris dataset, showing relationships between four flower measurements as selectable axes. Users choose X and Y attributes from dropdown menus, with points colored by species class and a corresponding legend. Built with React and D3 v7, the visualization uses d3.scaleLinear for axes, d3.scaleOrdinal for categorical coloring, and d3.csv for data loading. SVG rendering handles axes, marks, and legend through reusable React components, with d3.format applied to tick labels.

OOleg Zhernovoy

Polished Scatter Plot with Menus and Color

This interactive scatter plot visualizes the Iris dataset, allowing users to explore relationships between flower measurements by selecting which attributes appear on the X and Y axes via dropdown menus. Points are colored by species using a categorical scale. Built with React and D3 v7, the visualization renders SVG circles for each data point, with axis scales computed from selected fields using `scaleLinear` and chart dimensions managed through React state. The data is loaded asynchronously from a CSV file using `d3.csv`.

OOleg Zhernovoy

Polished Scatter Plot with Menus and Colors

This interactive scatter plot displays the Iris dataset, allowing users to explore relationships between sepal and petal measurements through drop-down menus that select which attribute appears on each axis. Points are colored by species using d3.scaleOrdinal, with circles rendered as SVG marks that include tooltips showing values. Built with React and D3 v7, the visualization uses React state to manage selected attributes and re-scale axes via d3.scaleLinear, with custom axis components generating ticks and labels.