Skip to main content
SimilarExport ZIP
100%

Reusable scatter plot_ICE7

✓ Published0🌍 Public
Ssridhardubala106@gmail.com
Last edited Mar 27, 2024
Created on Mar 27, 2024
Forked from React Starter

This reusable D3 scatter plot visualizes tourist visit data across three years (2019–2021) for various places, showing the relationship between 2021 and 2019 visitor numbers. The chart animates every two seconds, cycling the x-axis through each year's data while the y-axis remains fixed on 2019. Built with D3 v6, it uses `scaleLinear`, `extent`, and axis functions (`axisLeft`, `axisBottom`) within a custom `scatterPlot` function. SVG circles represent data points, with margins and radius configurable. Data loads from a CSV file parsed by `csv`, and the animation uses `setInterval` to update the x-value accessor and re-render.

AI-generated description
MIT Licensed

Similar vizzes

Loading thumbnail…

ICE 7 Reusable D3 Scatter Plot- ICE7

This animated scatter plot visualizes museum visitor data across four exhibits, cycling which museum is plotted on the x-axis every three seconds. Each dot represents a year (2014–2016) colored pink, green, or black, with its position determined by attendance at different Los Angeles museums. The visualization uses a reusable D3 scatterPlot module built with scaleLinear scales, axisBottom, and axisLeft to render axes and circles. Data is loaded via d3.csv from a GitHub-hosted CSV file, with setInterval triggering redraws that swap the x-axis column among AmericaTropical, Firehouse, ChineseAmerican, and AvilaAdobe.

SSravyaAnnadi
84% match
Loading thumbnail…

Creating the Scatter plot - ICE6

This scatter plot visualizes tourist visitor counts across U.S. states, comparing 2019 figures on the x-axis with 2021 numbers on the y-axis. Each circle represents a state, with data loaded from a CSV file via `d3.csv` and rendered as SVG elements using `d3.axisBottom`, `d3.axisLeft`, and `d3.scaleLinear`. The chart includes axis labels, a title, and a subtitle, while hover effects on the dots change their fill color. The accompanying HTML provides a written analysis noting an overall upward trend in visitors between the two years, with notable increases in destinations like California, Hawaii, and Idaho.

Ssridhardubala106@gmail.com
84% match
Loading thumbnail…

Reusable D3 Scatter Plot- ICE7

This animated scatter plot visualizes a road and ride measurement dataset, cycling through four attribute combinations on the x-axis while y remains fixed. Data points are colored by category (word-wrap, word-color, word-country) and rendered as ellipses with variable rx and ry radii. The visualization uses D3 v6 with the reusable `scatterPlot` module, employing `scaleLinear`, `axisLeft`, `axisBottom`, and `setInterval` for rotation. It loads data via `d3.csv`, appends SVG circles, and includes a custom legend with labels.

AAnanthulaaditya
84% match
Loading thumbnail…

Fork of Simple Scatter Plot

This scatter plot compares visitor numbers at tourist locations between 2019 and 2021. Each dot represents a place, with its position determined by the number of visitors in each year. The visualization uses D3.js v7, loading CSV data from a remote gist URL. It renders as an SVG using `d3.select`, `d3.scaleLinear`, `d3.axisBottom`, and `d3.axisLeft`, with circles positioned via the `x` and `y` scales.

Ssridhardubala106@gmail.com
83% match
Loading thumbnail…

reusable scatter plot ice7

This reusable scatter plot visualizes yearly hotel bookings across different states using the Iris Dataset as inspiration. It employs D3 v6 with SVG rendering, using `d3.scaleLinear` for coordinate mapping, `d3.axisBottom` and `d3.axisLeft` for axes, and `d3.csv` to load data from a GitHub-hosted CSV file. The chart is built as a configurable function with setters for width, height, margins, and data accessors, following the reusable chart pattern.

Bbhavyapokuri123@gmail.com
82% match
Loading thumbnail…

ICE - 7 Reusable D3 Scatter Plot

This example shows a reusable scatter plot that displays sales figures over time, with each circle representing a data point. It uses D3.js version 7 to render the visualization as SVG elements, with a band scale on the x-axis for categorical years and a linear scale on the y-axis for continuous sales values. The code leverages `scaleBand`, `scaleLinear`, `axisBottom`, and `axisLeft` to construct the axes, while interactive tooltips appear on mouseover using D3 event handlers. Data is loaded from a CSV file using `d3.csv`, and the plot includes animated transitions for tooltip visibility.

Yyvarshachowdary@gmail.com
82% match
Loading thumbnail…

Reusable D3 Scatter Plot- ICE7

A scatter plot cycles through four flag and stand measurements from a CSV dataset, updating the x-axis and axis label every few seconds. The visualization uses D3 v6 to render circles colored by a "color" attribute, with red, green, and blue indicated in a legend. It employs reusable scatter plot and scale functions, rendering through SVG with animation for the rotating axes and labels.

Hharika-1929
82% match
Loading thumbnail…

Fork of Fork of Simple Scatter Plot

This scatter plot compares tourist visitor numbers between 2019 and 2021 for various places. Each dot represents a location, with its horizontal position showing 2021 visitors and vertical position showing 2019 visitors, using D3.js’s `d3.scaleLinear` for axes. The data is loaded from a CSV via `d3.csv` with `d3.autoType` for parsing. The visualization renders SVG circles styled with CSS, with axis labels added using `d3.axisBottom` and `d3.axisLeft`. The chart’s title appears above the plot, and the grid is removed for a cleaner look.

Rrobertotienonyaranga@gmail.com
82% match