rtb scatter and weather line

rtb and weather chart

This visualization pairs a daily river temperature (rtb) scatterplot for 2015 with a linked weather chart. The left SVG shows each day as a circle, with hover interactions that highlight the point, display a tooltip, and update the right SVG to show that day's hourly temperature data. The right chart uses a line plot built with d3.scaleLinear and d3.line. Data is loaded from CSV files, and both charts use d3.axisBottom and d3.axisLeft with animated transitions for hover feedback.

88% match

rtb scatter

This interactive scatterplot visualizes daily river temperature and turbidity data from 2015, plotting each day as a circle with position encoding both variables. Hovering a point highlights it in red and displays its exact values in a tooltip. The visualization uses D3 v5 with SVG rendering, employing `scaleLinear` for both axes, `axisBottom` and `axisLeft` for tick marks, and `.on('mouseover')` events to trigger the highlighting and tooltip updates.

86% match

Fork of weather scatter

This visualization shows the relationship between time of day and temperature for a single day, plotting temperature in Fahrenheit against the hour using a line chart generated with D3.js (d3.v5). The chart uses `d3.scaleLinear()` for both axes, with a `d3.line()` generator to draw the temperature curve, and includes grid lines and axis labels. Data is loaded from external CSV files (rtb.csv and temps_doy2015.csv) via `d3.csv()`, with the temperature data for a specific day of year 2015. The SVG rendering is configured with explicit margins, and the styling uses simple CSS for the circle elements.

80% match

weather scatter

A weather scatter plot visualizes hourly temperature readings (temp_F) for a single day of the year, plotting each hour along the x-axis and temperature along the y-axis. The visualization uses the D3 v5 library, rendering data from CSV files via `Promise.all` and `d3.csv`, with linear scales (`scaleLinear`) for both axes and grid lines generated by `axisBottom` and `axisLeft`. Circles represent individual temperature readings, and hovering over a point enlarges it, changes its fill to red, and displays a tooltip with hour and temperature values via D3 selection and event handlers. The chart includes axis labels, a title, and uses SVG rendering with CSS styling for circle opacity and tooltip appearance.

78% match

Scatter Plot with Menus

This interactive scatter plot visualizes daily temperature readings from Logan Airport weather data collected between 2016 and 2018. Built with React and D3 v5, the visualization renders an SVG chart where users can switch between TMAX and TMIN values for the y-axis using ReactDropdown menus, while the x-axis displays dates scaled with d3.scaleTime. The d3.csv loading pipeline parses the raw data, and d3.extent determines the domain for both linear and time scales. Circle marks include native SVG title tooltips showing formatted dates.

Rrohame

scatter -> line plot

This example shows how a scatter plot of temperature over time transforms into a line plot by connecting the data points with a smooth path. The visualization uses React to render SVG elements, with d3.scaleTime and d3.scaleLinear for scaling, and d3.line with curveNatural for the connecting curve. Data comes from a CSV file of weekly San Francisco temperatures, loaded via d3.csv. Hovering over each circle reveals a tooltip showing the day of the week.

XXingming Xu

Hharichandanamone21@gmail.com

Fork of Reusable D3 Scatter Plot

This interactive scatter plot visualizes weather data from a CSV file, allowing viewers to cycle through humidity, precipitation, and pressure on the x-axis while temperature remains on the y-axis. Using D3.js version 6, the chart employs `scaleLinear`, `extent`, and `axisBottom`/`axisLeft` to render axes, with a `setInterval` driving automatic transitions between attributes every two seconds. Circles are drawn via `selection.selectAll` and `join` with a fixed radius, while margins and dimensions adapt to the window size. The Iris dataset is not shown here; instead, weather observations are sourced from a gist-hosted CSV, and styling uses the Share Tech font.

Dashboard

This dashboard presents a scatterplot comparing pairs of weather variables, such as temperature and humidity, from a dataset that includes daily records. Users select the x and y variables from dropdown menus to change the visualization. The chart is rendered as an SVG using D3 v5, with D3’s scale and axis components generating the grid and tick marks. The surrounding layout uses CSS to position header panels and the plot area.

Eeourm20