Fork of Missing Migrants Scatter Plot Log Scale

Fork of Missing Migrants Scatter Plot Log Scale

A scatter plot of the Missing Migrants Dataset shows individual migration events over time, with each circle representing a single event’s reported date on the x-axis and total dead or missing on a logarithmic y-scale. The visualization uses React to render SVG circles and axes, leveraging D3 v5’s `scaleTime`, `scaleLog`, `csv`, and `extent` APIs for data loading, scaling, and tick generation, with native SVG `<circle>` elements and `<title>` tooltips for interactivity.

MMatias Conde

Fork of Missing Migrants Scatter Plot Log Scale

This scatter plot visualizes the Missing Migrants Dataset, with each circle representing a single migration event. The x-axis maps time using a time scale, while the y-axis uses a log scale to show the total number of dead and missing, compressing large values. The React application renders SVG circles, axes, and labels, with D3 v5 handling data loading via `csv()`, scaling through `scaleTime()` and `scaleLog()`, and axis tick generation.

DDaniel Zsido

Fork of Missing Migrants Scatter Plot Log Scale

A scatter plot visualizes the Missing Migrants Dataset, where each circle represents a single migration event. The x-axis shows the reported date using a time scale, while the y-axis displays the total dead and missing on a logarithmic scale, making small and large values comparable. The visualization is built with React and D3 v5, using `scaleLog`, `scaleTime`, and `extent` for scales. SVG circles are rendered with tooltips via the `<title>` element, with axes drawn from `AxisBottom` and `AxisLeft` components, styling marks in teal.

RRoberto

Fork of Missing Migrants Scatter Plot Log Scale

This scatter plot visualizes the Missing Migrants Dataset, with each circle representing a single migration event plotted by date on the x-axis and total dead or missing on a logarithmic y-axis. The visualization uses React with D3 v5 scales, including `scaleTime` and `scaleLog`, to map data from a CSV loaded via the `csv` function. SVG circles are rendered through React components for axes and marks, with tooltips showing formatted dates. The log scale compresses large casualty counts while preserving detail for smaller events.

Ssophievanderhorst

Fork of Missing Migrants Scatter Plot Log Scale

This scatter plot visualizes the Missing Migrants Dataset, showing each recorded migration event as a point over time on the x-axis and the total dead and missing count on the logarithmic y-axis. The visualization uses React with D3 v5, employing `scaleTime` for the date domain and `scaleLog` to handle the wide range of casualty counts. SVG circles render each data point with a `title` element for tooltips, while custom `AxisBottom` and `AxisLeft` components generate the ticks and grid lines. The log scale compresses large values while revealing patterns in smaller incidents.

FFrederick O'Brien

Fork of Missing Migrants Scatter Plot Log Scale

This scatter plot visualizes the Missing Migrants Dataset, showing each migration event as a point with reported date on the x-axis and total dead and missing on a log-scaled y-axis using d3.scaleLog and d3.scaleTime. The React-based visualization renders SVG circles and axes, with tick formatting via timeFormat and tooltips showing the full date. Axes are styled with custom tick marks, and the code includes a loading state while fetching the CSV data through d3.csv.

JJoldon

Fork of Missing Migrants Scatter Plot Log Scale

JJoldon

Fork of Missing Migrants Scatter Plot Log Scale

This scatter plot visualizes the Missing Migrants Dataset, with each circle representing a single event. The x-axis shows reported dates over time, while the y-axis displays the total number of dead and missing individuals using a logarithmic scale, which compresses large values for better comparison. The visualization is built with React and D3 v5, using `scaleTime` and `scaleLog` for the axes, and SVG circles with tooltips for interactivity. The data is loaded asynchronously from a CSV file hosted on GitHub.

Cchar0496