Working With Time

Working with Time

This visualization shows temperature readings across a week in San Francisco as a smooth, curved line chart. Time runs along the x-axis with day labels, while temperature appears on the y-axis, both using scales from `d3.scaleTime` and `d3.scaleLinear`. The line is generated with `d3.line` and `curveNatural`, and rendered as SVG paths within a React component. Data comes from a CSV file loaded via `d3.csv`, with axes built by custom React components that map ticks using D3's scale methods.

Cchamce

Working with Time

This visualization displays temperature readings over a one-week period in San Francisco, using a time-series line chart. The line connects daily data points across a time-based x-axis and a linear temperature y-axis, with styled tick marks and axis labels for readability. Built with React and D3 v5, the chart uses `scaleTime` and `scaleLinear` for scaling, while `line` and `curveNatural` draw a smooth path through the data. The CSV data is loaded asynchronously via D3's `csv` utility and rendered as an SVG.

Nnexus1058

Working with Time

This visualization displays a week of temperature readings in San Francisco as a smooth line chart, with time on the horizontal axis and temperature on the vertical axis. The data is loaded from a CSV file using d3.csv, then rendered as an SVG through React components. The chart uses d3.scaleTime and d3.scaleLinear to map the timestamp and temperature values, while d3.line with curveNatural generates the curved path connecting the data points. Custom axis components and a simple tooltip via SVG title elements are included.

JJohn Huang

Working with Time

This visualization displays temperature readings over time for a week in San Francisco, using a smooth curved line to show the trend. The chart plots timestamps on the x-axis and temperature values on the y-axis, with the x-axis formatted to show abbreviated weekday labels. The visualization is built with React and D3 v6, using `scaleTime` and `scaleLinear` for the axes, and `line` with `curveNatural` to create the smoothed path connecting data points. The data is loaded from a CSV file using `d3.csv` and rendered as SVG.

Eekorre1001

Working with Time

This example visualizes temperature over time in San Francisco, using a line chart to show how readings fluctuate throughout the week. The chart is built with React and renders as an SVG, using d3. `scaleTime` and `scaleLinear` handle the axes, while `line` with `curveNatural` draws a smooth path through the data points. The underlying CSV data is loaded asynchronously via `useData`, which parses timestamps and numeric temperature values.

Aalexandermodell

Working with time

This example visualizes temperature readings over time using a smooth line chart, with time on the x-axis and temperature on the y-axis. The data comes from a CSV file containing weekly San Francisco temperature records. The visualization is built with React and renders to SVG, using d3.scaleTime and d3.scaleLinear for the axes. d3.line with curveNatural draws the path, while the axis components generate ticks and labels. Tooltips are commented out in the Marks component.

Jj-PGi

Working with Time

Working with Time shows temperature readings from a week in San Francisco as a smooth line chart. The visualization uses React to render SVG elements, with D3's `scaleTime` and `scaleLinear` mapping timestamps and temperatures to coordinates. A natural curve connects the data points, which are marked with small circles that display tooltips via SVG `<title>` elements. The CSV data is loaded with D3's `csv` function, while custom axis components and a `line` path generator with `curveNatural` handle the plotting.

Aafcchilders

Working with Time

A line chart shows temperature readings over one week in San Francisco, with a smooth curve connecting daily data points and circles marking each observation. The visualization uses React to render SVG elements, with D3.js scales handling time and linear mappings. The code employs `scaleTime`, `scaleLinear`, `extent`, and `timeFormat` for axis ticks, while `line` and `curveNatural` generate the curved path. Data comes from a CSV dataset of hourly temperatures, loaded via `csv` and parsed into `Date` objects.

KKazushige Okuma