Activity_Task3_Question_3

100%

Activity_Task3_Question_3

✓ Published0🌍 Public

SShasankreddyganta@my.unt.edu

Last edited Apr 12, 2024

Created on Apr 12, 2024

This example shows a scatter plot of fifty randomly generated points, each belonging to one of three categories (A, B, or C) and plotted on a simple Cartesian grid. The visualization distinguishes categories by encoding each one with a distinct symbol—circle, cross, or diamond—and a unique color from the `d3.schemeCategory10` palette. Using D3 v7, the code creates SVG paths via `d3.symbol`, scales numeric x and y values with `d3.scaleLinear`, and adds labeled axes rendered through `d3.axisBottom` and `d3.axisLeft`.

AI-generated description

MIT Licensed

Similar vizzes

Loading thumbnail…

Activity6_Task-8_Q3

This scatter plot visualizes the relationship between x and y coordinates for data points grouped into three categories (A, B, C), with each group distinguished by a distinct color. The visualization uses D3.js v7 to load a CSV file and render an SVG chart with linear scales for both axes. Circles represent individual data points, sized at a fixed radius of 6 pixels, with black strokes for clarity. The chart includes axis labels, a legend identifying each group, and uses `d3.scaleOrdinal` with `d3.schemeCategory10` for color assignment. Gridlines are not drawn, but tick marks and labels are generated using `d3.axisBottom` and `d3.axisLeft`.

PPradhyumna Poralla

86% match

Loading thumbnail…

Activity Question 3B

This scatter plot displays 50 randomly generated data points, each colored red or blue to represent group A or B. The visualization uses D3 v7 to render an SVG chart with linear scales and axes. The code generates random x and y values between 0 and 100, then plots circles with a radius of 5 pixels using d3.axisBottom and d3.axisLeft for the coordinate system.

Mmangilipallylaxminarayana@gmail.com

86% match

Loading thumbnail…

Activity 6 task 3

This scatter plot visualizes the distribution of three data groups (A, B, C) across x and y coordinates, using colored circles to distinguish group membership. The chart includes labeled axes, a legend, and a sequential color scheme from `d3.scaleOrdinal(d3.schemeCategory10)`. Built with D3 v7, the code loads data from a CSV file, applies linear scales for both axes, and renders the visualization as SVG circles. Axis ticks, labels, and the legend are generated using D3’s `d3.axisBottom`, `d3.axisLeft`, and manual SVG text elements.

RRishabh Sharma

83% match

Loading thumbnail…

Task 3 Q 3.2

This interactive scatter plot uses D3 v7 to visualize two quantitative variables across multiple categories, with each category represented by a distinct geometric shape from `symbolsFill`. The visualization applies `scaleLinear` for both axes and `scaleOrdinal` for shape encoding, rendering data points as SVG paths using the `symbol` generator. A shape legend explains the categorical mapping, while axes with labels are constructed using `axisLeft`, `axisBottom`, and custom label positioning from the `axes` module. The example demonstrates reusable chart components through ES6 module imports and data-join patterns for updates.

RRukmini Devi Y

82% match

Loading thumbnail…

Activity 6_Task 3.2

This example builds a scatter plot with a categorical legend, where data points are distinguished by shape. The visualization maps two quantitative variables to the x and y axes using `d3.scaleLinear` and assigns a different symbol to each category via `d3.scaleOrdinal` and `d3.symbol`. The chart includes axes with labels, drawn using `d3.axisLeft` and `d3.axisBottom`, and a custom legend that displays the shape mapping. The underlying data and its source are not specified in the provided code.

Aakankshareddygorla@my.unt.edu

81% match

Loading thumbnail…

Activity 6 Task3 Q6

This example shows a scatter plot of categorical data from a CSV file, with each point colored by category and positioned by valueX and valueY. It uses D3 v7 to load the data via `d3.csv` and `d3.autoType`, then renders SVG circles with scales from `d3.scaleLinear` and `d3.scaleOrdinal`. The axes are generated with `d3.axisBottom` and `d3.axisLeft`, and labels for both axes are added as SVG text.

Kkesava

81% match

Loading thumbnail…

Activity-6 Task-3 Question3.6

This example shows a scatter plot of student performance, comparing math scores against reading scores. Each circle represents a student, and color encodes the student’s race/ethnicity, grouped into three categories (Group A & B, Group C, Group D & E). The visualization uses D3 v6 to load CSV data from a GitHub repository, then renders SVG circles with `scaleLinear` axes for both scores. A legend identifies the three color groups, and axis labels are added via `axisLeft` and `axisBottom`, with text elements placed for the x- and y-axis titles.

Bbhargavireddy4016@gmail.com

80% match

Loading thumbnail…

Question_3

This example presents a scatter plot that maps categorical data from a CSV file onto two quantitative axes, with each point colored by its category. The visualization uses D3.js (v7) to load and parse the data via `d3.csv` and `d3.autoType`, and then builds the chart with SVG elements. Axes are generated using `d3.axisBottom` and `d3.axisLeft`, while the points are drawn as circles with positions scaled by `d3.scaleLinear`. The color of each circle is assigned using `d3.scaleOrdinal` with the `d3.schemeCategory10` palette.

SSai Sandhya Nannapaneni

80% match