rtb and weather chart

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.

89% match

rtb scatter and weather line

A linked-view dashboard shows a scatter plot of rtb values by day of year for a selected year (2015–2018), alongside a line chart comparing hourly temperature on a chosen day to its monthly average. Hovering over a scatter point highlights it and triggers an animated line update in the weather chart. The visualization uses d3.v6 with SVG rendering, d3.scaleLinear, d3.axisBottom/Left, and mouse events; radio buttons filter annual data, and a tooltip displays point details. Data is loaded from CSV files and parsed via custom functions.

88% 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

Temperatura Transboundary River Basin Area Chart!

This area chart displays daily temperature variations in a river basin, using a smooth curved line filled in maroon to emphasize the fluctuation pattern over time. The visualization loads CSV data from a VizHub dataset, parsing timestamps and numeric temperatures, then renders an SVG with D3 v5’s `scaleTime`, `scaleLinear`, and `area` generator with `curveBasis`. Axis labels and gridlines are styled via CSS, and the chart includes a title and clearly labeled time and temperature axes.

Aalbanodossantos

75% match

Visualization

This visualization displays a 3-day weather forecast using an animated bar chart built with D3.js. It encodes temperature values as bar heights, with a color scale ranging from white to blue to red to indicate temperature intensity. The data is loaded from a local JSON file. Bars animate upward with a bounce effect upon rendering. Interactive tooltips appear on mouseover to show the precise temperature, and hovering highlights a bar in yellow. The chart includes a time-based x-axis and linear y-axis.

Aajoua

Fork of Ice6_Question 3

This interactive D3.js visualization presents daily weather data across five months, using two complementary charts. The first chart is a multi-series line chart showing maximum and minimum temperature trends with red and blue lines, revealing a seasonal warming pattern from January to May. The second combines bar and line glyphs to compare rainfall with average temperature, using dual y-axes to display both measurements. The visualization is rendered as SVG using d3.v7, with gridlines, hover effects, and annotations that highlight the inverse relationship between precipitation and temperature as the seasons transition.

Ssrujana reddy

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.

SSaiSriSuryaBandaru@my.unt.edu

Q3_Ice6

This visualization presents daily weather data through two D3.js v7 SVG charts: a multi-series line chart and a combined chart. It uses `d3.csv` to load data, `d3.rollups` with `d3.mean` to aggregate values by date, and `d3.line` with a monotone curve to render temperature, humidity, and rainfall trends over time. The line chart includes gridlines, axes, and a legend, while the second chart combines multiple mark types. Data is sourced from a remote CSV file containing date, temperature, humidity, rainfall, and wind speed columns.