5. Trellis plot using d3

Trellis plot

The trellis plot compares the relationship between age and wealth (in billions) across three billionaire categories: Financial, Non-Traded Sectors, and Traded Sectors. The visualization uses split axes to isolate each category’s data points. The code relies on `d3.scaleLinear` for custom x- and y-axes, `d3.axisBottom` and `d3.axisLeft` for tick marks, and SVG circles to render the filtered datasets from the billionaires.csv file.

PPragyagarg

91% match

4. Create a scatter plot - trivariate using d3

This scatter plot visualizes billionaire data from a CSV file, encoding three variables: age on the x-axis, worth in billions on the y-axis, and gender mapped to color. The chart uses linear scales for both axes, with a legend to distinguish male and female data points. The SVG-based visualization is built with D3 v4 and includes labeled axes for age and wealth, rendered at a fixed width and height with defined margins.

85% match

6. Scatter plot matrix using d3

This scatter plot matrix visualizes relationships among age, gender, and worth in billions for billionaire data loaded from a CSV file. The grid displays pairwise comparisons, with gender treated as a categorical band scale and the numeric variables on linear axes. Each cell plots circles colored by gender, using D3 v4 scales, axes, and SVG rendering. The code builds axes and cells through nested data-crossing loops, highlighting the structure of the dataset across three selected traits.

3. Create a scatter plot - bivariate using d3

This scatter plot visualizes billionaire data from a CSV file, mapping age and net worth (in billions) onto a two-dimensional chart using D3 v4. The SVG-based graphic uses linear scales for both axes, with age on the x-axis and wealth on the y-axis. The visualization is created by loading the `billionaires.csv` dataset and rendering each billionaire as a point in the scatter plot, with the axes and plot area sized to fit a 960×500 viewport.

Display Trellis plots : Worth in Billions v/s Age for different Genders

This trellis plot displays billionaire net worth versus age, with data separated into four panels based on gender categories. The visualization uses p5.js with a CSV dataset of billionaires, mapping age along the x-axis and "worth in billions" along the y-axis. Individual billionaires are represented as colored ellipses, with blue markers for males, pink for females, red for missing gender data, and orange for married couples. The panels are arranged horizontally, with male data plotted in the first panel, female data in the second, and married/other categories in subsequent panels, enabling side-by-side comparison across gender groups. Each panel includes identical axes scaled from the global minimum and maximum values for age and worth, with gridlines every 100 units. A legend at the top explains the color-to-gender mapping, and axis labels indicate Age (x-axis) and Worth in Billions (y-axis). The visualization uses a trellis (small multiples) design to compare the distribution of billionaire ages and net worth across gender categories.

Scatterplot in D3

This scatterplot visualizes the relationship between the age and wealth of billionaires, sourced from a CSV file. Each purple circle represents a billionaire, with its position determined by age on the x-axis and wealth in billions on the y-axis. The visualization uses D3.js version 7 within an SVG rendering to create the plot, axes, and labels. The code employs `d3.csv` to load the data, `d3.scaleLinear` for scaling, and `d3.axisBottom` and `d3.axisLeft` to construct the chart axes.

RRiya Mathur

trellis

This visualization compares the net worth and age of male and female billionaires using two side-by-side scatter plots. Each green dollar sign represents a billionaire, plotted by age on the x-axis and net worth in billions on the y-axis. The p5.js code loads data from a CSV file and separates it by gender. Hovering over a data point reveals the individual’s name, age, and net worth via simple mouse position checks and text display.

BByronHan333

82% match