Skip to main content
SimilarExport ZIP
100%

Task3_Q3

✓ Published0🌍 Public
Ppravallikaratankanthkatragadda@my.unt.edu
Last edited Apr 15, 2024
Created on Apr 15, 2024
Forked from Task8_Tutorial2

This scatter plot visualizes the relationship between age and height for 30 individuals, with each data point color-coded and labeled by its index. The SVG-based visualization uses D3 v7 to parse CSV data, apply linear scales for both axes, and render circles that expand and display a tooltip on mouseover. A legend identifies each point, while axis labels clarify the variables plotted, and the color scale employs d3.schemeCategory10.

AI-generated description
MIT Licensed

Similar vizzes

Loading thumbnail…

Task8_Q3_PR

This scatter plot shows the relationship between age and height for 30 individuals, with each point colored by its index in the dataset. The visualization uses D3 v7 to load CSV data, create linear scales for both axes, and render SVG circles. It includes axes with labels and employs d3.scaleOrdinal with d3.schemeCategory10 for point coloring, with data drawn from a local data.csv file.

Ppravallikaratankanthkatragadda@my.unt.edu
97% match
Loading thumbnail…

Activity8Task3.1

This interactive scatter plot visualizes the relationship between age and height for a dataset with categorical color coding. Points are colored skyblue, lightgreen, or orange based on their category, with gray as the default fallback. The visualization loads CSV data from a GitHub gist using the `csv` function, then maps values to screen coordinates with `scaleLinear` and `extent`. It renders SVG circles using `selectAll` with the `join` operator, and displays labeled axes via `axisLeft` and `axisBottom`. The plot dynamically fills the browser window with margins defined for the chart area.

Ssirichandana017@gmail.com
85% match
Loading thumbnail…

TASK.8_question-3.6_Sahith

This example displays a scatter plot of height versus age from the heights dataset, with points colored by sex (male and female). The visualization uses D3 v6 to load the CSV data, scaleLinear for both axes, and SVG circles to render each data point. The code calls d3.csv, d3.extent, d3.axisLeft, and d3.axisBottom to construct the chart, with labeled axes for height and age.

Mmanisahiths54321@gmail.com
83% match
Loading thumbnail…

act_8_q_3.6

This scatter plot uses the D3.js library (v6) to visualize the relationship between age and height from the heights dataset. It encodes each individual's sex through circle color, with male data points shown in sky blue and female points in orange, while the plot axes are labeled and scaled using D3's linear scale and axis functions. The visualization loads CSV data from an external URL, maps the height and age columns to the x and y axes, and renders the marks as SVG circles.

Ssairam.amaraneni22@gmail.com
83% match
Loading thumbnail…

Activity6_task3_3

This scatter plot visualizes the relationship between age and weight from a synthetic health dataset. The visualization encodes each data point as a circle, with position determined by age on the x-axis and weight on the y-axis. The chart uses d3.scaleLinear for both axes and d3.axisBottom/axisLeft to render tick marks. The code colors points based on gender using d3.scaleOrdinal and includes a shapeLegend function that displays the color mapping. The data is loaded via d3.csv from a GitHub-hosted CSV file and rendered as SVG elements.

Vvemurisuchitha@gmail.com
82% match
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
82% match
Loading thumbnail…

Activity6_Task3.1

This scatter plot visualizes survey data from university students, showing the relationship between each respondent's age and their course of study, with points colored by their year of study (Year 1 through Year 4). The visualization uses D3.js v7 to load a CSV file from a GitHub gist and render an SVG chart with a linear x-axis for age and a point scale y-axis for course names. The code applies d3.scaleLinear, d3.scalePoint, and d3.scaleOrdinal to position and color the circles, while interactive tooltips appear on mouseover to display the exact age, course, and year for each data point.

Nnissisharon61@gmail.com
81% match
Loading thumbnail…

activity6task3q1

This scatter plot visualizes the relationships between height and weight in a small dataset, with points colored blue for males and pink for females. The visualization uses D3 v6 and renders as an SVG, loading data from a CSV file. It uses `scaleLinear` for both axes, `extent` to calculate domains, and `axisLeft` and `axisBottom` to draw the axes. The plot is displayed full-screen, with circles positioned according to the scaled data values.

Ssudheervnarasimha1@gmail.com
81% match