Working with Time

100%

Working with Time

✓ Published0🌍 Public

Last edited Jan 3, 2020

Created on Jan 3, 2020

This scatter plot displays temperature readings over the course of a week, with time on the x-axis and temperature on the y-axis. Built with React and D3 v5, it uses `scaleTime` and `scaleLinear` to map the data, with `extent` and `max` computing the domains. The visualization renders as an SVG, with custom axis components and circular marks that include tooltips via SVG `<title>` elements. Data comes from the Data Canvas Sense Your City dataset, loaded as CSV through `d3.csv`.

AI-generated description

A scatter plot of Data Canvas Sense Your City Dataset.

MIT Licensed

Similar vizzes

Loading thumbnail…

Working with Time

This scatter plot displays temperature readings over the course of a week, with time on the x-axis and temperature on the y-axis. The chart uses React components for rendering and D3 scales—specifically `scaleTime` and `scaleLinear`—to map the timestamp and temperature values from the Data Canvas Sense Your City dataset. Each data point is drawn as an SVG circle with a tooltip showing the formatted day. The visualization incorporates custom axis components that generate ticks and grid lines.

DDean Bozic

96% match

Loading thumbnail…

Working with Time

This interactive scatter plot visualizes temperature readings over a week-long period, using a time-based x-axis and linear temperature scale on the y-axis. Built with React and D3 v5, the visualization loads CSV data from the Data Canvas Sense Your City dataset and renders SVG circles for each measurement. The code utilizes scaleTime, scaleLinear, extent, and timeFormat APIs to handle temporal scales and date formatting, while custom React components manage axis rendering and data point marks with tooltips showing the day of the week.

NNick

96% match

Loading thumbnail…

Working with Time

This scatter plot visualizes weekly temperature readings from the Data Canvas Sense Your City dataset, with time on the x-axis and temperature on the y-axis. Built with React and D3 v5, it uses `scaleTime` and `scaleLinear` for coordinate mapping, and SVG circles as marks. Axes are generated using custom `AxisBottom` and `AxisLeft` components that call `xScale.ticks()` and `timeFormat`, with native SVG `<title>` elements providing tooltips. Data loading is handled via the `useData` hook, which fetches a CSV file using `d3.csv`.

CCurran Kelleher

95% match

Loading thumbnail…

Working with Time

This scatter plot uses D3 v6 and React to visualize temperature readings from the Data Canvas Sense Your City dataset over one week. The x-axis uses a time scale with day-based tick formatting, while the y-axis shows temperature values with a linear scale. SVG circles represent individual data points, each with a tooltip showing the timestamp. The code demonstrates how to combine React components with D3 scales, including `scaleTime`, `scaleLinear`, `extent`, and custom axis components for rendering the visualization.

WWolfgang

95% match

Loading thumbnail…

Working with Time

This scatter plot visualizes temperature readings over a week from the Data Canvas Sense Your City Dataset. Each circle represents a temperature measurement at a specific time, with a tooltip showing the day of the week. The visualization uses React for rendering SVG elements and d3.scaleTime and d3.scaleLinear for mapping timestamps and temperatures to pixel coordinates. The code employs d3.extent, d3.max, d3.timeFormat, and the csv loading function from d3-fetch to process and display the data.

Ssophburke

95% match

Loading thumbnail…

Working with Time

This scatterplot displays temperature readings over the course of a week, with time on the x-axis and temperature on the y-axis. Each orange circle represents a data point, and hovering reveals its exact timestamp and temperature. The visualization is built with React and D3 v5, using `scaleTime` and `scaleLinear` to map the data. SVG elements render the axes, tick marks, and labels, while the data is loaded from a CSV file and parsed with `csvParse`.

EEhtisham UL Hassan

94% match

Loading thumbnail…

Working With Time

This scatter plot visualizes weekly temperature data from the Data Canvas Sense Your City dataset, displaying temperature readings over time. Each circle represents a timestamp on the x-axis and its corresponding temperature on the y-axis. The visualization uses React with D3 v7, employing `scaleTime` and `scaleLinear` for axes, `extent` to compute domains, and `timeFormat` to display abbreviated weekday labels. Data is loaded via `csv` from a GitHub-hosted CSV file, with SVG rendering and custom axis components for a clean presentation.

JJoe Hutchins

94% match

Loading thumbnail…

Working with time

This example visualizes a week of temperature readings from the Data Canvas Sense Your City dataset, plotting temperature against time in a scatter plot. The visualization uses D3’s `scaleTime` and `scaleLinear` to map data to SVG coordinates, with React rendering the axes and circular marks. The bottom axis labels days via `timeFormat` (`%a`), while each circle includes a native SVG `<title>` tooltip showing the formatted timestamp. The data is loaded asynchronously with `d3.csv` and parsed into `Date` objects.

Yyinhao0424

94% match