Skip to main content
SimilarExport ZIP
100%

Task-7 Q3

✓ Published1🌍 Public
JJames Cruz
Last edited Apr 15, 2024
Created on Apr 15, 2024
Forked from Hello VizHub

A scatter plot maps income against age for a jobs and salary dataset, with points colored by gender using D3's `scaleOrdinal` and `schemeCategory10`. The visualization loads CSV data via `d3.csv`, applies linear scales (`scaleLinear`) for both axes, and renders circles in an SVG container. Axes are generated with `axisLeft` and `axisBottom`, while labels for "Income" and "Age" are added as rotated and positioned text elements. The chart uses D3 v6 loaded from UNPKG and fills the browser window.

AI-generated description

An example showing the capabilities of VizHub:

  • Loads D3 via UNPKG.
  • Demonstrates use of import from "d3".
  • Demonstrates use of import from local ES6 modules.
MIT Licensed

Similar vizzes

Loading thumbnail…

Task-7 Q3

This scatter plot displays the relationship between age and income from a CSV dataset, with each point colored by gender using a categorical color scale. The visualization uses D3 v6 to load and parse the data, then renders circles on an SVG canvas with linear scales for both axes. Axis labels are styled in green, and the plot is sized to fill the browser window. The code demonstrates loading data via a remote URL and applying D3’s scaleLinear, scaleOrdinal, axisLeft, and axisBottom functions to construct the chart.

JJames Cruz
94% match
Loading thumbnail…

qu3.6

This scatter plot displays the relationship between age and income across a dataset, with each point colored by gender using a categorical color scale. The visualization loads CSV data from a GitHub repository and uses D3 v6 APIs including `scaleLinear`, `extent`, `axisLeft`, `axisBottom`, `scaleOrdinal`, and `schemeCategory10` to map values to positions and colors. The SVG rendering fills the browser window, with axes labeled and styled via D3 selections.

Yyashwanthkirla95@gmail.com
86% match
Loading thumbnail…

Assignment-6_Question-3

A scatter plot visualizes the relationship between age and salary in a gender-based occupations dataset, with each point colored blue, pink, or orange to indicate gender. The chart uses D3 v6 with `d3.csv`, `scaleLinear`, `axisLeft`, and `axisBottom` to render SVG circles and axes, while interactive tooltips display age, gender, and salary on mouseover. Data loads from a remote GitHub-hosted CSV file, and the visualization includes custom axis labels and a colored legend

Rreachtoshasidhar07@gmail.com
84% match
Loading thumbnail…

Activity_6_Question 3

This interactive scatter plot visualizes the relationship between age and salary across genders in an income dataset. Each circle represents a person, colored by gender (green for male, yellow for female, red for other), with hover tooltips showing detailed records. The visualization uses d3.csv to load external data, d3.scaleLinear for axes, and d3.axisLeft/axisBottom for ticks. SVG circles and event listeners handle mouseover interactions, while the tooltip div transitions opacity to display information. The plot includes labeled axes for salary and age, rendered with custom axis label styling.

HHarsha vardhan reddy Yarmareddy
84% match
Loading thumbnail…

A6 Scatterplot

This scatterplot visualizes the relationship between age and income, with each circle colored by gender using a categorical color scale. The chart uses D3.js v7 to load CSV data from a GitHub gist, scales the x-axis starting at age 15 and the y-axis from 5000 income, and renders SVG circles with axes labeled "Age" and "Income." A d3-legend color legend titled "Gender" identifies the categories, while the styling sets black axis lines and text. The rendering approach is SVG, with scales defined via `d3.scaleLinear` and `d3.scaleOrdinal`.

SShazil Taqi
84% match
Loading thumbnail…

Activity-6_Question-3

This interactive scatter plot visualizes relationships between age and salary from a gender-based occupations dataset. Points are color-coded by gender (blue for male, pink for female, orange for other), and hovering reveals tooltips with the exact age, gender, and salary values. Built with D3 v6, the visualization uses `scaleLinear` for axes, `axisBottom` and `axisLeft` for ticks, and appends circles to the SVG with `selectAll('circle').data(data).enter()`. The plot includes labeled axes for "Age" and "Salary" with green, bold formatting.

Aabdul.khader2899@gmail.com
83% match
Loading thumbnail…

A8Task3

This example shows a scatter plot of age against height, with each point colored by income level: red for incomes below 60,000, yellow for 60,000–70,000, and green for above. The SVG chart uses d3.scaleLinear to map extents to pixel ranges, d3.axisLeft and d3.axisBottom for axes, and d3.csv to load a remote dataset. Dot size is fixed at 4 pixels, with axis labels styled in green.

Sshaiksajidali
81% match
Loading thumbnail…

Scatter Plot

A scatter plot displays the relationship between age and monthly income for employees in a dataset loaded from a CSV file. Each circle represents an employee, with position determined by the `d3.scaleLinear` scales for age and income. Hovering reveals a tooltip with exact values. The visualization uses D3 v7 to append SVG circles, axes, and labels, with data parsed from a remote CSV source.

TTejasriKari@my.unt.edu
81% match