Reusability_Scatter_Plot

D3 of Scatter Plot

This scatter plot shows the relationship between pet age and weight, with each circle representing an individual pet. The visualization uses a D3.js v7 SVG rendering pipeline to map data points, with `d3.scaleLinear` for both axes and `d3.extent` for domain calculation. The chart includes axis labels and applies a teal fill with 0.6 opacity to the circles. Data is loaded asynchronously via `d3.csv` from a remote gist source, and the axes are generated using `d3.axisBottom` and `d3.axisLeft`.

85% match

Area Chart

This area chart visualizes the relationship between pet age in months and adoption fees in dollars, using a blue-filled area with orange hover dots. The dataset is loaded from a CSV file via `d3.csv`, and both quantitative scales are linear. The chart is rendered as SVG using D3 v7, with the `d3.area()` generator defining the region between the baseline and the data points. Interactive tooltips appear on mouse movement using D3 event handlers and the `d3.select` API, while axes are appended via `d3.axisBottom` and `d3.axisLeft`.

80% match

Line Chart

This line chart visualizes the relationship between pet age in months and adoption fees, using a dataset loaded from a CSV file. A blue line connects data points sorted by age, with orange circular dots marking each observation. Built with D3 v7, the chart uses SVG rendering and d3.csv for data loading, with d3.line generating the path and d3.scaleLinear mapping both axes. Interactive tooltips appear on mouseover via event listeners, displaying the precise age and fee for each dot. Axis labels clarify the variables, and the visualization includes a light gray background grid through SVG styling.

80% match

D3 Bar+Line Chart

This multi-series line chart visualizes pet adoption data, plotting age against weight, adoption fee, and shelter time to show relative trends. The code uses D3.js v7 with an SVG canvas, scaling data via `d3.scaleLinear` and rendering lines with the `d3.line` generator. Data is fetched from a GitHub raw text file, with each series color-coded and labeled through a legend. The chart includes bottom and left axes with `d3.axisBottom` and `d3.axisLeft`, scaled for comparability.

80% match

pet_adoption_data

A pet adoption dashboard displays summary statistics and a bar chart of average adoption fees by pet type. It loads CSV data from a GitHub gist via `d3.csv`, then renders the total pet count, average fee, and average age in a card layout. The bar chart uses `d3.scaleBand` and `d3.scaleLinear` to encode the average fee per pet type as SVG rectangles, with labels showing dollar values. The interface is built with plain HTML and CSS, relying on D3 v7's DOM selection and data join APIs.

Reusability_Scatter_Plot

This example demonstrates a reusable scatter plot built with D3.js, showing how the same chart structure can be applied to different datasets through a configurable function. The visualization renders circles positioned along x and y axes based on numeric values, with gridlines and a clean white background. It uses D3’s selection and scale APIs, including `d3.scaleLinear` for mapping data to pixel coordinates and `d3.axisBottom`/`d3.axisLeft` for ticks, while CSS transitions smooth hover effects on the rectangles. The code is structured as a reusable module, making the scatter plot adaptable for various input data.

pet_adoption_data

This visualization summarizes pet adoption records from a CSV dataset, displaying key performance indicators like total rows, missing values, average adoption fee, and average age. It includes a bar chart showing the average adoption fee by pet type, rendered as SVG using D3.js. The code loads data with `d3.csv`, calculates summary statistics with `d3.mean`, and builds the chart using `d3.scaleBand`, `d3.scaleLinear`, and `d3.axisBottom`/`d3.axisLeft` for axes. Missing values are handled by filtering the dataset before aggregation.

reusable scatter plot

This reusable scatter plot displays age against fare price, with points colored by gender. The visualization alternates between two halves of the dataset every five seconds using `setInterval`, clearing the SVG and re-rendering with D3’s `selectAll` and `join` pattern. It uses `scaleLinear`, `scaleOrdinal`, `extent`, and `axisLeft`/`axisBottom` from D3 v6 to build axes and scales. The custom `scatterPlot` function exposes chainable methods for width, height, margins, and radius, while the data loads from a CSV URL via `d3.csv`.

Vvishnupriya eupuri