Chiuyc

@CherryChiuyc·4 public vizzes

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.

Jan 14, 2021

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Iris Parallel Coordinate Plot

This interactive parallel coordinate plot visualizes the Iris dataset, displaying sepal length, sepal width, petal length, and petal width for three flower species, each color-coded via a color map. Users can drag the vertical axes horizontally to reorder dimensions, with lines and axis positions animating smoothly through D3 transitions. Built with D3 v5 and React, the SVG rendering uses `scalePoint`, `scaleLinear`, `d3.drag`, and `d3.line` to generate and update the polylines. The data is loaded as CSV from a remote source, with a legend rendered alongside the chart.

Oct 22, 2020

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Polished Scatter Plot with Menus

This interactive scatter plot visualizes the Iris Dataset, allowing users to compare any two numerical attributes via React dropdown menus that control the x- and y-axes. The visualization uses React state with the `useState` hook to manage selected attributes and dynamically updates the scales with d3’s `scaleLinear` and `extent`. Rendered as an SVG, the chart includes polished axes built with custom components, tick labels formatted with d3’s `format`, and circular marks that display native tooltips on hover. Data loading is handled asynchronously through d3’s `csv` function.

Oct 6, 2020

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Making a Bar Chart

This example visualizes population figures for the ten most populous countries using a basic bar chart layout in SVG. It loads data from a CSV file containing country names and population numbers, converting the population strings to numeric values. The visualization uses D3 v5 with `d3.select` to manage the SVG element and `d3.csv` for data loading. A `scaleLinear` is defined but not yet configured with domains or ranges, while the data join appends rectangles of fixed width and height to the chart.

Oct 5, 2020