Skip to main content
SimilarExport ZIP
100%

Homework 6

✓ Published2🌍 Public
Jji3ji3ji3195@gmail.com
Last edited Oct 20, 2024
Created on Oct 11, 2024
Forked from Homework 1

This interactive ThemeRiver chart visualizes median house prices over time, segmented by property type and bedroom count, using data from `ma_lga.csv`. The stacked streamgraph renders as SVG paths generated with `d3.area()` and `d3.curveBasis`, with colors from `d3.scaleOrdinal(d3.schemeTableau10)`. Users can click side labels to hide streams, hover to display a tooltip with date and price via `d3.pointer`, and click two streams to swap their stacking order, triggering an animated re-render with `d3.flatGroup` and `d3.minIndex`.

AI-generated description
MIT Licensed

Similar vizzes

Loading thumbnail…

Data Visualization Homework 6: ThemeRiver

This interactive theme river visualizes the median sale prices of houses, grouped by number of bedrooms, in a geographic region over time. Using D3’s stack and stackOffsetWiggle functions, it displays fluctuating price bands as colored streams. A color legend and a dropdown menu for selection filter the data. The SVG renders with HTML tooltips and axis ticks, with data loaded from a local CSV file.

Dderrick373519@gmail.com
87% match
Loading thumbnail…

HW6

This visualization shows a ThemeRiver of house property sales in a specific area from 2007 to 2019, with each colored stream representing homes with two, three, four, or five bedrooms. The height of each stream reflects the median sale price (in dollars) for that property type quarterly. The code uses d3.stack with stackOffsetWiggle to create the flowing river layout, d3.area to draw the paths, and d3.scaleTime, d3.scaleLinear, and d3.scaleOrdinal for axes and coloring. An interactive tooltip, styled via CSS, reveals the exact price and season when hovering over any stream.

Jjerry70938@gmail.com
86% match
Loading thumbnail…

hw6_me

This visualization shows a ThemeRiver chart tracking median house sale prices over time, segmented by property type and bedroom count. Seven categories—ranging from two-bedroom houses to three-bedroom units—are displayed as colored streams that flow and stack vertically. The chart uses D3 v6 with `d3.stack` and `stackOffsetSilhouette` to create the silhouette layout, while `d3.scalePoint` and `d3.area` handle the temporal axis and stream paths. Data comes from a CSV file containing quarterly sale prices, with each category assigned a distinct color from a ordinal scale.

Kkenny-wq
85% match
Loading thumbnail…

Fork of Data Visualization Homework 6: ThemeRiver

This example presents a ThemeRiver visualization that tracks the median price of house sales, broken down by property type and number of bedrooms, over time. It displays the data as stacked, wiggled areas to show how the price distributions evolve across the years. The implementation uses the D3.js library (version 5) to load the data, process it, and render the visualization with SVG and animations. It also integrates a color legend and a dropdown menu (if present) to facilitate interaction, using D3's `scaleTime`, `stack`, and `area` functions.

LLê Minh Bằng
85% match
Loading thumbnail…

hw6

A theme river displays the moving average of house property sales prices over time, broken down by property type and bedroom count. The visualization uses a silhouette offset to stack the series symmetrically around a central axis, highlighting each category's contribution. Users can drag and drop colored blocks to reorder the legend, which triggers an immediate redraw of the stacked areas via `d3.stack` and `d3.area`. The chart is built with `d3.csv`, `moment.js` for date parsing, and SortableJS for interactive reordering.

JJiaYu07
83% match
Loading thumbnail…

Untitled

A ThemeRiver visualization displays changes in Massachusetts home sale prices over time, stacked into flowing streams by bedroom count. The chart uses D3 v6 to load CSV data, transforms it via the `d3.stack` generator, and renders smooth SVG areas with `d3.area` and `curveBasis`. Time and price scales map dates to the x-axis and cumulative price ranges to the y-axis, while each stream is colored by housing category.

Nnanegole
83% match
Loading thumbnail…

Fork of Data Visualization Homework 6: ThemeRiver

This visualization displays house property sales trends using a scatter plot, where each point represents a sales record from a CSV file, colored by property type and positioned by median house price (MA) over time. It uses D3 v5 with SVG rendering, including smooth animated transitions that move circles from the center to their final positions. The plot features axis labels, gridlines, and a categorical color legend built with `scaleOrdinal` and `schemeCategory10`. The visualization reads data from `ma_lga_12345.csv` and updates dynamically through a re-rendering function.

YYouSheng-Do
83% match
Loading thumbnail…

Fork of Theme River Graph

This interactive stream graph visualizes the median property prices in Massachusetts over time, allowing users to toggle between coloring by property type (house or unit) and by number of bedrooms (1–5). The D3.js v4 code uses `d3.stack`, `d3.stackOffsetSilhouette`, and `d3.area` to render the layered areas from a CSV file of quarterly sales data. Users switch coloring modes via buttons, which re-organize the data with `d3.nest` and recalculate medians before redrawing the SVG. Hovering over the graph reveals details through a tooltip element.

Eeyxxr1260@gmail.com
81% match