Fork of Working with Time

100%

Fork of Working with Time

✓ Published0🌍 Public

Last edited Mar 13, 2021

Created on Mar 13, 2021

This visualization uses a React-based D3 v5 implementation to display a scatter plot of the Data Canvas Sense Your City dataset. It aggregates the dataset’s “Total Dead and Missing” values over time, binning the reported dates into monthly intervals using D3’s histogram function with `timeMonths` thresholds. The resulting bar chart is rendered as SVG rectangles, with time on the x-axis and the binned death counts on the y-axis. The code explicitly defines axes with `scaleTime` and `scaleLinear`, and formats tick labels using `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 visualization is a histogram that aggregates the "Total Dead and Missing" values from the Data Canvas Sense Your City Dataset, grouping the data by month using the `d3.histogram` and `d3.timeMonths` functions. It displays the temporal distribution of the data on a time-scaled x-axis, produced with `d3.scaleTime`, and a linear y-axis representing cumulative monthly counts. The React application uses `d3.csv` to load the data, which is then processed and rendered as SVG rectangles via the `Marks` component. Custom `AxisBottom` and `AxisLeft` components create the chart axes, while the `useData` hook fetches the external CSV, and the code specifies a D3 version 5.11.0 environment.

Nnexus1058

93% 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

92% match

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 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

90% match

Loading thumbnail…

Fork of Working with Time

This visualization shows the monthly totals of dead and missing migrants from the Data Canvas Sense Your City dataset. It uses a bar chart rendered as SVG with React components, where each bar aggregates the sum of fatalities per month. The code uses D3 v5 APIs including `scaleTime`, `scaleLinear`, `bin`, `timeMonths`, and `sum` to bin the reported dates and compute monthly totals. Axes are drawn with custom React components, and the data is loaded asynchronously from a CSV file.

SSong Tao Chen

90% match

Loading thumbnail…

Fork of Working with Time

This visualization is a bar chart that aggregates monthly totals of dead and missing migrants from the Data Canvas Sense Your City dataset, showing the sum of casualties over time. The x-axis uses a time scale with monthly bins, while the y-axis uses a linear scale for the count. Built with React and D3 v5, the code leverages `scaleTime`, `histogram` with `timeMonths` thresholds, and `sum` to bin and aggregate the data. SVG rectangles render the bars, with axes generated by custom `AxisBottom` and `AxisLeft` components.

Ssophievanderhorst

90% match

Loading thumbnail…

Fork of Working with Time

This visualization aggregates monthly counts of dead and missing migrants from a Data Canvas Sense Your City Dataset, displaying the data as a histogram with time on the x-axis and total fatalities on the y-axis. Using React and d3.v5, it employs `d3.scaleTime`, `d3.bin`, and `d3.timeMonths` to bin events by month, while `d3.max` and `d3.extent` set scale domains. SVG rectangles render the bars, with axes generated by custom React components and tooltips via SVG `<title>` elements.

BBrian Philip

89% 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

89% match