Thiago Sawada

@thiswd·8 public vizzes

Fork of Scatter Plot with Menus Including Species

This interactive scatter plot visualizes the Iris dataset, enabling users to explore relationships between sepal and petal measurements through dropdown menus that switch both axes and support categorical species encoding. The visualization uses D3 v6 with a reusable chart pattern, employing `selection.join` for smooth enter/update/exit transitions that animate circle positions and growth. SVG rendering with `scaleLinear` and `scalePoint` scales adapts to quantitative or categorical data, while custom menus dispatch change events to update the plot dynamically.

Jul 17, 2023

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Fork of Vega-Lite API Template

This example visualizes automobile data from the UCI Machine Learning Repository, displaying a scatter plot of miles per gallon against horsepower. Color encodes the car’s country of origin, while the size of each circular mark scales with weight, and tooltips reveal the vehicle name. It uses the Vega-Lite API to construct the chart declaratively, with the `vl.markCircle`, `vl.x().fieldQ`, and `vl.color().fieldN` functions. The code imports data via `d3.csv`, registers Vega-Lite with `vega-tooltip`, and renders the output as an SVG using the Vega view.

Mar 2, 2023

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Fork of Stylized Line Chart

This visualization plots temperature readings against time, using a natural cubic spline to create a smooth, stylized line. The chart’s interactive hover tooltips appear on circular data points, and both axes are labeled with custom tick formatting. Built with React and D3 v5, it uses d3’s `scaleTime` for the x-axis, `scaleLinear` for the y-axis, and the `line` and `curveNatural` functions from d3 to shape the path, sourcing data from the Data Canvas Sense Your City week temperature dataset.

Mar 2, 2023

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Fork of Coronavirus Deaths Over Time by Country With Voronoi Overlay

A fork of a line chart showing cumulative COVID-19 deaths over time for multiple countries, plotted with a logarithmic y-axis. Hovering over the chart highlights a country’s full time series in bold black, using a Voronoi overlay built with `d3.Delaunay` to capture mouse events on the densely overlapping lines. The visualization is rendered as SVG via React, with data sourced from the Johns Hopkins Coronavirus dataset, and uses `scaleLog`, `scaleTime`, and D3’s `line` generator to position and draw each country’s path.

Mar 2, 2023

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Covid Line Chart

This example displays a single, stark statistic: the total number of global COVID-19 deaths as of the latest date in the data. It extracts the last column from a CSV file provided by the Johns Hopkins CSSE repository, sums all values, and formats the total with a thousands separator. The React app uses `d3.csv` to fetch and parse the data, while a `d3.format` comma formatter renders the result in a large `<pre>` element. The visualization emphasizes the magnitude of the figure over a chart, showing the aggregate impact rather than a temporal trend.

Mar 2, 2023

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Refactored bar chart

This chart displays the top 10 most populous countries as horizontal bars ranked by population, with axes providing clear quantitative and categorical context. The visualization is built with React and D3 v5, using React components to render SVG elements while d3’s `scaleBand`, `scaleLinear`, and `format` handle positioning and tick labels. Data comes from the United Nations World Population Prospects 2019 CSV, processed through d3’s `csv` function. Tooltips on each bar reveal exact population values via native SVG `title` elements.

Mar 2, 2023

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Axes with React & D3

A React and D3 bar chart displays the top 10 most populous countries using UN population data from 2019, with bars representing 2020 projections. The visualization includes custom axes built manually through React components, using `d3.scaleBand` for the categorical y-axis and `d3.scaleLinear` for the numeric x-axis. D3's `csv` loader fetches the dataset, while tick marks are generated via `xScale.ticks()`. The SVG rendering maps each country's population to bar widths, with axis labels positioned using React's JSX syntax.

Mar 2, 2023

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Fork of Polished World Map

This example displays a world map with country boundaries and graticules, rendered with a clean, polished color palette. It uses the `geoNaturalEarth1` projection and `geoPath` from d3-geo to draw land masses, while `geoGraticule` generates the grid lines. React components manage the SVG rendering, and the data comes from the World Atlas TopoJSON dataset, with country interiors extracted using `topojson.mesh`. The map is styled with CSS, including a light gray sphere background and teal land fill.

Apr 19, 2021