Skip to main content
SimilarExport ZIP
100%

Fork of project-TIME SERIES AVERAGE WIND DIRECTION FOR ALL CITIES(AREA CHART)

✓ Published1🌍 Public
CChaturyaAkhilaPallem@my.unt.edu
Last edited Mar 23, 2024
Created on Mar 23, 2024

This visualization displays the average wind direction across all cities as a time-series area chart, with the y-axis fixed from 0 to 360 degrees to represent compass directions. It shows how the mean wind direction changes over time, with circles marking individual data points and a tooltip revealing the exact date and wind direction on hover. The chart uses D3 v7’s `d3.area` and `d3.scaleTime` functions to render the area shape and time axis, while `d3.axisBottom` and `d3.axisLeft` add labeled axes. Data is loaded from a CSV via `d3.csv`, parsed with `d3.timeParse`, and averaged across city columns. The visualization also computes the highest, lowest, and most consistent wind direction values from the dataset.

AI-generated description

A bare minimum HTML page demonstrating use of CSS and JavaScript.

See also React Starter.

MIT Licensed

Similar vizzes

Loading thumbnail…

project-TIME SERIES AVERAGE WIND SPEED FOR ALL CITIES(LINE CHART)

This line chart visualizes the average wind speed for a single city, Vancouver, over time, with each data point plotted by date and speed. The visualization uses D3.js v7 to render an SVG line chart, with circles marking individual data points that reveal a tooltip on hover showing the exact date and wind speed. The chart is generated from a CSV file loaded from a GitHub gist, and the axes are labeled to indicate date and wind speed units, while the code applies d3.scaleTime for the x-axis and d3.scaleLinear for the y-axis.

CChaturyaAkhilaPallem@my.unt.edu
82% match
Loading thumbnail…

Fork of A7 Line Chart

This example visualizes monthly wind speed measurements across multiple cities, with each city represented by a distinct colored line. The chart uses an ordinal color scale with a legend to distinguish the ten city categories. Built with D3 v6 and rendered as SVG, the visualization includes both lines connecting data points and circular markers for each measurement. The code employs `d3.group` to structure the data by city, `d3.scaleOrdinal` for color mapping, and `d3.line` for path generation. A hover effect changes the dot color to red, and axis labels identify the months and wind speed units.

Bbharatpatil0701@gmail.com
74% match
Loading thumbnail…

A7 Line Chart

This line chart displays the monthly average wind speeds for various cities in 2016, with each city represented by a distinct colored line and a circle marker at each data point. The visualization uses D3.js (v6) to load CSV data, group it by city with `d3.group`, and render lines with `d3.line` and scales from `d3.scaleLinear`. A color legend is created using the `d3-legend` library, and the SVG output includes axis labels for months and wind speed.

AAllen Ho
74% match
Loading thumbnail…

Small Multiples

This small multiples chart displays average wind speed by month for ten different cities, with each city’s time series shown in a separate SVG panel. The visualization uses d3.v6 to load CSV weather data via d3.csv, group records by station city using d3.group, and render each line with d3.line. A shared ordinal color scale maps cities to distinct hues, and a legend generated with the d3-legend library identifies each color. Axes are drawn using d3.axisBottom and d3.axisLeft, while hover interactions are implemented with CSS on the line dots.

AAllen Ho
70% match
Loading thumbnail…

Fork of Area chart with d3.js

This example shows an area chart tracking the average monthly atmospheric CO₂ concentration over time, with a clear upward trend from the late 1950s onward. The SVG visualization is built using the R community’s `ggplot2` library in R, though the code provided is actually JavaScript using D3.js v6. It constructs a linear scale for the x-axis (year) and a linear scale for the y-axis (average concentration), rendering a filled area path with a light fill color and a dark stroke. The data comes from a CSV file, loaded via `d3.csv`, and the chart includes labeled axes for both dimensions.

Vviveknaroju999@gmail.com
70% match
Loading thumbnail…

Fork of Working with Time

This visualization displays temperature readings over time from the Data Canvas Sense Your City dataset as a smooth line chart with circular markers. React components render SVG elements, while d3.scaleTime and d3.scaleLinear map data to coordinates, and d3.line with curveNatural creates the interpolated path. Axis components generate tick marks and labels, with hover tooltips providing formatted timestamps via SVG titles. The code imports specific d3 utilities like csv, extent, max, and timeFormat to parse the external CSV data source.

Pplusbeauxjours
70% match
Loading thumbnail…

Fork of Working with Time

This example visualizes the relationship between time and temperature using a scatter plot, with each circle representing a data point from the Data Canvas Sense Your City dataset. The x-axis displays time formatted by day of the week, while the y-axis shows temperature values, with a tooltip revealing the exact timestamp when hovering over a mark. The visualization is built with React and D3 v5, using `scaleTime` and `scaleLinear` for the axes. Data is loaded via `d3.csv` from a GitHub-hosted CSV file, and the SVG rendering includes custom axis components and circle marks with a `title` element for tooltips. The chart is styled with the Poppins font and a teal color scheme.

Mmadhuudhai
69% match
Loading thumbnail…

Fork of Time Series: Part 2 - Line Chart

A line chart visualizes temperature readings over time from the Data Canvas Sense Your City dataset, drawing a smooth, natural curve through the data points using D3's `line` and `curveNatural` generators. Time is mapped to the x-axis via `scaleTime` and temperature to the y-axis via `scaleLinear`, with custom `AxisBottom` and `AxisLeft` components rendering tick marks and labels. The React component loads the CSV asynchronously with `useEffect` and `csv`, applying a `timeFormat` for weekday labels. The SVG output is styled with CSS, including colored axes, grid lines, and a curved stroke for the temperature trend.

Ppravalika.thogaru10@gmail.com
69% match