Activity6_question3

100%

Activity6_question3

✓ Published0🌍 Public

Last edited Apr 1, 2025

Created on Apr 1, 2025

A scatter plot displays global cities by population on the x-axis and GDP in billion USD on the y-axis, with each city’s points colored via a categorical scale using `d3.scaleOrdinal` and a combined `schemeCategory10` and `schemeSet3` palette. The visualization loads a CSV from a GitHub raw URL using `d3.csv`, parses numeric fields, and renders circles with `d3.selectAll('circle')` and `.enter()`. Axes are generated with `d3.axisBottom` and `d3.axisLeft`, formatted using `d3.format('.2s')`, and a legend lists city names with matching color swatches. The SVG output uses D3 v6 with a light-gray background and Arial font.

AI-generated description

MIT Licensed

Similar vizzes

Loading thumbnail…

Activity6_Question3

This scatter plot visualizes city data, mapping population on the x-axis against area on the y-axis, with each point colored by region using a categorical color scale. The code loads a CSV file from GitHub, parses it, and renders circles in an SVG using D3 v6 APIs such as `csv`, `scaleLinear`, `scaleOrdinal`, `axisLeft`, `axisBottom`, and `entries`. A legend, built with appended rectangles and text, identifies the region colors. The visualization uses the browser’s full window dimensions and positions axes with margin conventions.

KKhushi Desai

87% match

Loading thumbnail…

Activity6_question3

This scatter plot visualizes the cities dataset, showing each city as a circle positioned by its area (x-axis) and population (y-axis), with colors indicating the region. It uses D3 v6 APIs including `csv`, `scaleLinear`, `axisLeft`, and `axisBottom` to load data from a GitHub CSV URL and render an SVG chart. The code sets fixed dimensions, applies margins, and uses a switch statement to assign distinct colors to North America, South America, Europe, Asia, and Africa, while smaller tick labels improve readability.

PPreethi Medepalli-91

86% match

Loading thumbnail…

Activity6_Question3

This D3.js v7 example displays a scatter plot of city data, plotting population against area and using distinct symbols to represent different regions. The visualization fetches its data from a CSV file hosted on GitHub and renders it into a full-window SVG. It uses `d3.scaleLinear` for axes, `d3.scaleOrdinal` with `d3.symbols` for region-based shapes, and demonstrates a custom legend for mapping shapes to regions. The code loads D3 via UNPKG and uses local ES6 modules for its component structure.

KKhushi Desai

85% match

Loading thumbnail…

Activity-6-Scatterplot

This scatterplot visualizes the relationship between population and GDP per capita for U.S. cities using D3.js v6. The SVG-based chart plots each city as a steel-blue circle with a black stroke, positioned along linear scales for both axes. The code loads data from a GitHub-hosted CSV file, converts the population and GDP values to numbers, and renders axes with formatted tick labels. Interactive tooltips appear on mouseover, displaying each city's name, population, and GDP per capita. The visualization employs d3.csv for data loading, d3.scaleLinear for mapping, and d3.axisBottom and d3.axisLeft for coordinate axes.

GGorantla Vishnusai

84% match

Loading thumbnail…

activity6 question 9

This bubble chart maps US cities by population on the x-axis, area on the y-axis, and GDP as bubble size. It uses D3’s `scaleLinear` for axes and bubble scaling, `scaleOrdinal` with `interpolateTurbo` for city colors, and `axisBottom` and `axisLeft` for tick marks. A tooltip displays city name and GDP on hover, while a legend with circles and dashed lines shows GDP values. Data is loaded from a local CSV via `d3.csv`.

Ggketan456@gmail.com

83% match

Loading thumbnail…

activity6_question9

A bubble chart displays population and GDP for 25 US cities, with bubble size encoding land area. It loads CSV data via `d3.csv` and uses `d3.scaleLinear` for x/y axes and radius, plus `d3.scaleSequential` with `d3.interpolateBlues` for color. Interactive tooltips appear on mouseover, showing city details. SVG rendering includes axes, labels, and a legend for bubble sizes.

Ggketan456@gmail.com

83% match

Loading thumbnail…

activity6_question9

A bubble chart compares the population and GDP of 25 major U.S. cities, with bubble size representing city area and color intensity encoding GDP. The visualization uses D3.js v7 to load data from a CSV file and render SVG circles. Interactive tooltips appear on mouseover, showing each city's population and GDP. The chart includes labeled axes, a legend for area, and uses `d3.scaleLinear`, `d3.scaleSequential`, and `d3.interpolateBlues` for encoding.

Ggketan456@gmail.com

83% match

Loading thumbnail…

Activity 6 Task 4

This bubble chart visualizes the relationship between city population, GDP, and land area. Each circle’s position is mapped to GDP on the x-axis and population on the y-axis, while its radius encodes area via `d3.scaleSqrt`. Tooltips, styled through CSS with a lightsteelblue background, appear on mouseover using `d3.select` and `transition` to display city-specific data. The chart is rendered in SVG with axes generated by `d3.axisBottom` and `d3.axisLeft`, and colors are assigned using `d3.scaleOrdinal` with `d3.schemeCategory10`. The data is loaded from a CSV file using `d3.csv`.

Ssharanyabobbala@my.unt.edu

83% match