Scatter Plot

Scatter Plot

This scatter plot displays hourly temperature readings in San Francisco over several days, with time on the x-axis and temperature on the y-axis. The visualization uses an area chart with a smooth curve to highlight temperature fluctuations, with data loaded from a CSV file via `d3.csv`. The code employs `d3.scaleTime` and `d3.scaleLinear` for axes, rendered as SVG with `d3.axisBottom` and `d3.axisLeft`. A red semi-transparent circle effect is applied using CSS, while the chart includes labeled axes and a title.

Ggregosaure

Scatterplot

This visualization displays temperature data for San Francisco over time, using a line chart to connect individual data points on a scatterplot. The chart includes labeled axes for date and temperature, with gridlines and axis labels rendered via D3.js v6. The code uses `d3.csv` to load the dataset, `scaleTime` and `scaleLinear` for scaling, and `line` with `curveBasis` to draw the smoothed path. The visualization is built with React, renders as SVG, and applies custom CSS for styling the circles and line.

MMatan

Scatter Plot

This example plots temperature readings from a CSV file over time, showing the daily temperature cycle in San Francisco. The visualization uses D3 v5 with React, rendering an SVG scatter plot where each circle represents an hourly observation. The code employs D3’s `scaleTime` and `scaleLinear` to map timestamps and temperatures to coordinates, with `axisBottom` and `axisLeft` for labeled axes. The data is loaded via `d3.csv`, and circles are appended to the SVG with a fixed radius and red fill at reduced opacity.

Ggregosaure

Scatter Plot

This scatter plot displays temperature readings from San Francisco over time, with time on the x-axis and temperature on the y-axis. The visualization includes grid lines, axis labels, and a title, with a smooth curve drawn through the data points using d3.line with a basis curve. The chart is rendered as an SVG, using d3.scaleTime and d3.scaleLinear for the axes, with data loaded from a CSV file via d3.csv. The code uses axisLeft and axisBottom to generate the axes, and the plot area is positioned within specified margins.

WWayne716

Temperature San Franciso Scatter Plot

This scatter plot visualizes temperature readings in San Francisco over time, with each orange point representing a temperature sample. The visualization uses D3 v5 scales and axes, with `scaleTime` for the x-axis and `scaleLinear` for the y-axis, while `csv` loads the dataset from a remote file. The SVG rendering includes rotated axis labels and grid lines styled through CSS.

Ddacoylo

Temperature Scatter Plot

This scatter plot visualizes temperature readings over time in San Francisco, with time on the x-axis and temperature on the y-axis. The code uses D3 v5 functions including `scaleTime`, `scaleLinear`, `axisBottom`, `axisLeft`, and `extent` to construct the chart, rendering purple semi-transparent circles as SVG elements. Data is loaded from a CSV file via `d3.csv` and converted to Date and numeric types. Grid lines are drawn via tick sizing, and axis labels are added as SVG text elements.

DdeafMother

Temperature in San Francisco Scatter Plot

This scatter plot displays daily temperature readings in San Francisco over time, with each circle representing a data point plotted along date and temperature axes. The visualization uses D3 v5 within a React framework, rendering to SVG. It employs `scaleTime` and `scaleLinear` for axes, `extent` for domain calculation, and `csv` to load data from a VizHub dataset. Axis labels and a title clarify the chart, while semi-transparent green circles reveal data density.

Bbertieip

Scatter Plot

This scatter plot displays temperature readings from San Francisco over time, with each point representing a single observation. The visualization uses D3 v5 with SVG rendering, employing `d3.scaleTime` and `d3.scaleLinear` for the axes, and `d3.axisBottom` and `d3.axisLeft` to generate the gridlines with tick marks. Circles are styled with semi-transparent steelblue fill, and data is loaded from a CSV file containing timestamp and temperature values.

Vvic126