Skip to main content
SimilarExport ZIP
100%

A4 - Scatter Plot

✓ Published0🌍 Public
Kkmduncan2@dons.usfca.edu
Last edited Feb 17, 2025
Created on Feb 15, 2025
Forked from A4 - Bar Chart

A scatter plot displays annual rainfall in Ecuador from 1940 to 1950, with each circle representing a year’s total precipitation in millimeters. The visualization uses D3 v7 to load CSV data from a GitHub gist, scale the x-axis as a band for years and the y-axis as a linear scale for precipitation values. SVG circles are positioned using the scale functions, while D3’s axis generators render labeled axes with custom CSS styling for points and typography.

AI-generated description
MIT Licensed

Similar vizzes

Loading thumbnail…

A4 - Bar Chart

This bar chart visualizes total rainfall in Ecuador from 1940 to 1950, with each bar representing a year’s precipitation in millimeters. The chart uses D3 v7 to load CSV data from a Gist, scales the values with d3.scaleBand for the x-axis and d3.scaleLinear for the y-axis, and renders axes with d3.axisBottom and d3.axisLeft. Bars are drawn as SVG rectangles with a light blue fill, styled via a linked CSS file, and the layout includes margins, a title, and rotated axis labels.

Kkmduncan2@dons.usfca.edu
90% match
Loading thumbnail…

A2 - Dot Plot

This dot plot visualizes total precipitation in Ecuador from 1995 to 2005, with each blue circle representing a year’s rainfall on a Cartesian grid. The p5.js sketch loads CSV data from a GitHub gist via `loadTable` in `preload()`, then draws the chart in `setup()` using functions like `circle`, `line`, and `text`. Gridlines mark 500-mm intervals, axes are labeled, and the data range is derived from the `total_precipitation` and `Year` columns.

Kkmduncan2@dons.usfca.edu
85% match
Loading thumbnail…

A2 - Bar Graph

A bar chart displays total precipitation in Ecuador for each year from 1995 to 2005, with the y-axis labeled in millimeters and the x-axis marked by year. The visualization uses the p5.js library within a Processing-style sketch, loading rainfall data from a CSV file hosted on GitHub Gist via the `loadTable` function. Bars are drawn with `rect()` calls, and axis labels are rendered using `text()` and `rotate()` for orientation.

Kkmduncan2@dons.usfca.edu
82% match
Loading thumbnail…

A3 - Histogram

This example visualizes the distribution of total precipitation in Ecuador from 1940 to 2024 using a histogram. Rainfall data is loaded from a CSV file via the p5.js `loadTable` function, with values manually binned into fixed ranges. Each bin’s count is then rendered as a blue rectangle on a canvas using p5.js `rect` calls, with axes and gridlines drawn via `line` and `text` functions. The resulting chart communicates the frequency of precipitation totals across Ecuadorian regions.

Kkmduncan2@dons.usfca.edu
80% match
Loading thumbnail…

Fork of Fork of Fork of ICE-6 Scatter Plot

This scatter plot visualizes average rainfall against average temperature, with each point colored by year (2010-2018) using a color mapping function. The visualization uses D3 v6’s `csv` loader to fetch data from a GitHub gist, `scaleLinear` for x and y axes, and `axisLeft`/`axisBottom` to render the axes. Points are drawn as SVG circles with a fixed radius of 5, positioned via the `scaleLinear` ranges, and the chart includes labeled axes for both variables. The rendering is done through direct SVG manipulation in a React environment.

Nnavyasrimeka9@gmail.com
75% match
Loading thumbnail…

scatterplot

This example visualizes the total annual rainfall in India from 1960 to 2017 as an area chart. It aggregates rainfall data across all states for each year, then renders the trend using D3 v7’s `d3.area`, `d3.scaleLinear`, and `d3.axisBottom`/`d3.axisLeft` APIs. A hover tooltip, powered by `d3.bisector` and `d3.pointer`, displays the exact year and total rainfall value as users move over the chart. The data is loaded via `d3.csv` from a remote GitHub gist, and the visualization is drawn as an SVG.

KKondreddy Saikiran reddy
74% match
Loading thumbnail…

A4 - Scatter Plot in D3

This example visualizes the total number of flights per year from 2003 to 2016 as a scatter plot, where each point represents the total flights for a particular year. The visualization uses D3.js version 7 to render circles on an SVG canvas, with the x-axis mapping years using `d3.scaleBand()` and the y-axis using a linear scale via `d3.scaleLinear()`. Data is loaded from a CSV file using `d3.csv()`, with axes and labels created through `d3.axisBottom()` and `d3.axisLeft()`. The code originates from a VizHub v3 project that supports interactive widgets and continuous hot reloading.

Rronnieferrufino4908@gmail.com
73% match
Loading thumbnail…

A3 - Box Plot

This example displays a box plot of population growth rates in Ecuador from 1940 to 2024, with values ranging from 1.5% to 3.5% plotted on an 800×800 pixel canvas. The visualization includes a blue interquartile range box, median line, and whiskers extending to the minimum and maximum values, computed manually from CSV data loaded via p5.js’s `loadTable()`. The rendering uses p5.js drawing functions such as `rect()`, `line()`, and `text()` to construct the plot and axis labels.

Kkmduncan2@dons.usfca.edu
73% match