Fork of Stylized Line Chart

Fork of Stylized Line Chart

This line chart visualizes temperature readings over time from the Data Canvas Sense Your City dataset, rendered as a smooth, natural curve using React and SVG. The chart displays time on the x-axis with day-of-week labels and temperature on the y-axis, with gridlines and axis labels styled via CSS. Built with React components and D3 v5, the visualization uses `scaleTime`, `scaleLinear`, and `curveNatural` to generate the path, while axis ticks are created through custom `AxisBottom` and `AxisLeft` components that leverage D3’s scale methods.

AAhmeTyAtakan

Fork of Stylized Line Chart

This line chart displays temperature readings over time from the Data Canvas Sense Your City dataset. The visualization uses a natural curve to create a smooth, stylized path through the weekly temperature data points, with axes labeled "Time" and "Temperature." Built with React and D3 v5, it uses `scaleTime`, `scaleLinear`, and `curveNatural` to position and render the SVG line. The code loads CSV data via `d3.csv`, and includes modular axis and marks components that handle tick generation and path drawing.

AAndres de la Garza

Fork of Stylized Line Chart

This example visualizes temperature readings over a week from the Data Canvas Sense Your City dataset, plotting time on the x-axis and temperature on the y-axis. The chart uses a smooth natural curve to connect data points, with styled axes and labels rendered in React and SVG. D3’s `scaleTime`, `scaleLinear`, `extent`, and `line` with `curveNatural` handle the data scaling and path generation, while custom React components build the axes and marks. The dataset is loaded as CSV and parsed with `d3.csv`.

Ssimontoblad

Fork of Stylized Line Chart

This line chart visualizes hourly temperature readings from the Data Canvas Sense Your City Dataset, emphasizing the curve’s continuous form with a smooth natural spline and no individual data points. The React-based application uses d3.scaleTime and d3.scaleLinear to map timestamps and temperatures, while d3.line with curveNatural generates the stylized path. It renders as SVG with shared axis components, and the visualization omits circles in the marks layer to focus purely on the temperature trend across the week.

SSophia Chiao

Fork of Stylized Line Chart

This visualization displays temperature readings over time from the Data Canvas Sense Your City dataset. The code uses D3.js functions such as `scaleUtc`, `scaleLinear`, and `timeFormat` to map timestamps to the x-axis and temperatures to the y-axis within an SVG rendered through React. A natural curve (using `curveNatural`) connects data points, with axis labels and tick marks styled via the Poppins font and a custom color palette from the CSS file.

SSabyasachi Goswami

Fork of Stylized Line Chart

This fork of a stylized line chart visualizes temperature readings over time from the Data Canvas Sense Your City dataset, rendered as an SVG with React. The chart uses D3 v5's `scaleTime` and `scaleLinear` to map timestamps and temperature values, while the `line` and `curveNatural` functions from D3 draw the smooth path. Axis ticks and labels are generated with D3's `timeFormat`, and the Poppins font styles the text. The code is structured into reusable components for axes, marks, and data loading via `csv`.

MMarvin

Fork of Stylized Line Chart

This example visualizes weekly temperature readings from the Data Canvas Sense Your City dataset as a stylized line chart. The chart displays temperature over time using a smooth curve, with labeled axes for time and temperature. The code builds the visualization with React components and D3 v5 APIs including `scaleTime`, `scaleLinear`, `line`, and `curveNatural`. It renders as an SVG, using D3’s `csv` loader to fetch data and `extent` to compute domains, with tick marks and axis labels styled via CSS.

GGeekboxer

Fork of Stylized Line Chart

This example visualizes weekly temperature data from the Data Canvas Sense Your City dataset as a smooth, stylized line chart. The line uses d3.line() with curveNatural to create a curved path through time-series points, while React components render SVG axes with d3 scales (scaleTime, scaleLinear). The visualization shows temperature fluctuations over the week, with axis labels and tick marks formatted using d3.timeFormat. Data loads via d3.csv from a GitHub gist, and hover tooltips are commented out in the code.

Ssoo