Working with Time

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

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

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 example visualizes a week of temperature readings in San Francisco as a smooth line chart, with circular marks highlighting each data point and tooltips revealing the exact timestamp. It uses React to manage component state and render the SVG, while D3 v5 utilities handle data loading, scales, and shape generation. The data is fetched from a CSV file using `d3.csv`, then mapped through `scaleTime` and `scaleLinear` to position points along the time and temperature axes. Curves are drawn with `d3.line` and the `curveNatural` interpolation, and custom React components encapsulate the axes and marks.

JJanet Li

Working with time

A line chart displays temperature readings over a week in San Francisco, using a smooth natural curve to connect hourly data points. The visualization loads CSV data via `d3.csv`, maps timestamps with `scaleTime` and temperatures with `scaleLinear`, and renders axes and marks as SVG elements through React components. The chart shows the full week on the x-axis with abbreviated weekday labels and temperature on the y-axis, enabling a clear view of daily temperature fluctuations across the period.

Ppatasky

Working with Time

A line chart displays temperature readings over the course of a week in San Francisco, using a smooth curved path to emphasize trends. The visualization employs React to render SVG elements, with D3 v5 scales (scaleTime and scaleLinear) mapping timestamps and temperatures, while reusable axis components generate tick marks. Data is loaded asynchronously via d3.csv from an external URL, and the brush-free chart includes hover tooltips on circles for precise time values.

Ccynichole

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 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