Working with Time

100%

Working with Time

✓ Published0🌍 Public

Last edited Jul 1, 2022

Created on Jul 1, 2022

This interactive scatter plot visualizes the relationship between reported dates and the total number of dead and missing migrants, using the Data Canvas Sense Your City dataset. The visualization is built with React and D3.js, where D3’s `scaleTime` and `scaleLinear` map the temporal and numeric variables to SVG coordinates. Each data point is rendered as a circle, with hover tooltips displaying the full date. The chart includes labeled axes for time and casualty counts, with tick marks styled using D3’s `timeFormat`.

AI-generated description

A scatter plot of Data Canvas Sense Your City Dataset.

MIT Licensed

Similar vizzes

Loading thumbnail…

Fork of Working with Time

This scatter plot visualizes reported dates against total dead and missing counts from the Data Canvas Sense Your City Dataset, revealing temporal patterns in migration incidents. The visualization uses React with D3 v5 scales, including `scaleTime` for the x-axis and `scaleLinear` for the y-axis, rendering as SVG circles with tooltips. Axes are built through reusable React components that map ticks using D3’s tick generation, while data loading employs D3’s `csv` parser with custom row formatting for date and numeric conversions.

Wweny1109

91% match

Loading thumbnail…

Fork of Working with Time

This visualization shows the total number of dead and missing migrants over time, plotted as a scatter plot. Each circle represents a date with its corresponding casualty count, with tooltips displaying the exact date on hover. The chart uses React components to render SVG elements, with D3 scales (scaleTime and scaleLinear) handling the axes and data mapping. The data comes from the Data Canvas Sense Your City Dataset, loaded via D3’s csv function, and the visualization includes styled tick marks and axis labels for clarity.

Nnexus1058

91% match

Loading thumbnail…

Fork of Working with Time

This scatter plot displays the number of dead and missing migrants over time from the Data Canvas Sense Your City Dataset. The time axis is aggregated into monthly bins, with the total count per bin plotted. Built with React and D3 v5, it uses `d3.scaleTime` and `d3.scaleLinear` for axes, `d3.histogram` for binning, and `d3.extent` for domain calculation. SVG circles render the marks, with tooltips showing the month.

AAnkit-Ian-53787

90% match

Loading thumbnail…

Ep. 38 | Working with Time

This visualization shows the total dead and missing migrants over time as a histogram, where each bar aggregates the total for a month. The chart uses a scatter plot dataset sourced from Data Canvas Sense Your City, displayed as SVG in React. It employs D3 v5 APIs including `scaleTime`, `scaleLinear`, `timeMonths`, `histogram`, and `extent` to bin the dates into monthly intervals. The y-axis sums the casualties per bin via `sum`, with tooltips on each bar. Axes are custom drawn using React components.

YYee Han

90% match

Loading thumbnail…

Fork of Working with Time

This example is a scatter plot of the Data Canvas Sense Your City Dataset, showing the relationship between Reported Date and Total Dead and Missing counts from the Missing Migrants Global dataset. The visualization uses React components with D3 v5 scales and axes (`scaleTime`, `scaleLinear`, `AxisBottom`, `AxisLeft`) to render SVG circles as marks. The code also imports `histogram` and `timeMonths` for binning, though the current view displays individual data points with tooltips showing formatted dates. The chart includes labeled axes for both dimensions and loads data asynchronously via a CSV URL.

EEFezerKW

90% match

Loading thumbnail…

working with time

A histogram visualizes monthly totals of dead and missing migrants from the Data Canvas - Sense Your City API, with the x-axis showing reported dates across 2019 and the y-axis counting incidents. Built with React and D3 v5, the code uses `d3.csv` for data loading, `d3.scaleTime` and `d3.scaleLinear` for axes, and `d3.bin` with `d3.timeMonths` thresholds to group records into monthly bins. SVG rectangles render the bars, with tooltips via SVG `<title>` elements, and custom React components handle axis and mark rendering.

JJenny

88% match

Loading thumbnail…

Fork of Working with Time

This visualization displays the total number of dead and missing migrants over time, binned by month to reveal temporal trends. The React-based code uses d3.csv to load the Data Canvas Sense Your City dataset, then applies d3.scaleTime, d3.scaleLinear, and d3.bin with d3.timeMonths thresholds to aggregate and render the histogram. Custom SVG axes are drawn with d3.ticks and timeFormat labels, while a native SVG `<title>` element provides hover tooltips. The interactive chart appears static but relies on React’s useEffect hook for asynchronous data loading and conditional rendering.

Qqtrfx

88% match

Loading thumbnail…

Fork of Working with Time

This visualization displays the monthly number of dead and missing migrants from the Data Canvas Sense Your City Dataset, aggregated as a bar chart. The code uses React with D3 v5, leveraging `scaleTime`, `histogram`, `timeMonths`, and `scaleLinear` to bin and scale the temporal data. SVG rectangles render each bar, with tooltips for exact values. Axis components are custom-built using React, and data loading relies on D3’s `csv` and React’s `useEffect`.

Jjchen6912

87% match