Activity 7.1 - Area chart

areaChart-spotify

This area chart visualizes Spotify listening habits, showing total songs played per week. The visualization combines a filled area with a line overlay and circular data points, using steelblue for the area and line with tomato-colored points. Tooltips provide exact values on hover. Built with D3 v7, the chart employs `scaleLinear`, `axisBottom`, `axisLeft`, `area()`, and `line()` with `curveMonotoneX` smoothing. Data comes from a Gist-hosted CSV file displayed in an SVG rendered at 900×520 pixels.

83% match

Area-Chart

This area chart displays weekly Spotify listening totals from a CSV dataset, using a gradient-filled region beneath a smooth line to emphasize volume trends over time. Built with D3 v7, it employs `scaleLinear`, `axisBottom`, `axisLeft`, `d3Area` with `curveMonotoneX`, and a linear gradient for the fill. Axes are labeled, and the SVG rendering includes a title and tooltip-free interactive hover effects. The chart’s reusable `areaChart()` function supports configurable margins, labels, and data accessors, with data loaded via `d3.csv`.

83% match

Spotify_D3ScatterPlot

This animated scatter plot visualizes Spotify listening habits, showing the relationship between total songs played and several rotating attributes including average listening time, new artists discovered, skipped songs, and mood score. Built with D3.js 6.7.0, it uses `scaleLinear`, `extent`, `axisLeft`, and `axisBottom` to map data from a CSV file loaded via `csv()`. The visualization cycles through four x-axis variables every two seconds using `setInterval`, redrawing circles with updated `cx` positions as the x-axis changes.

Scatter Plot

This scatter plot shows the relationship between song release year and streaming counts for popular songs, with purple circles plotted across axes for release year and stream totals. The visualization uses D3.js v7 to load CSV data from a GitHub gist, then applies d3.scaleLinear for both x and y axes, d3.extent to determine the year domain, and d3.max for the stream range. Circles are appended as SVG elements, with d3.axisBottom and d3.axisLeft providing the labeled axes.

Mmynedisanjana@gmail.com

Rraaghaveramireddy@my.unt.edu

Activity 7 Area Chart

This example renders an area chart showing the proportion of ratings across different music genres. It uses stacked areas, colored with a custom palette, to display the data, with a legend identifying each genre. The chart is built with D3 v6, loading data from a CSV file via `d3.csv`. It creates an SVG visualization using `d3.scaleBand` for the x-axis, `d3.scaleLinear` for the y-axis, and a custom `d3.area` generator for the areas, with axes and labels added via `d3.axisBottom` and `d3.axisLeft`.

MMannava Priyanka Chowdary

Activity7_Que2

This area chart visualizes the daily popularity of the song “Shape of You” from a Spotify dataset, showing how it trends over time with a maroon filled area. The visualization uses D3 v7 APIs including `scaleTime`, `scaleLinear`, `area`, `curveBasis`, and `axisBottom`/`axisLeft` to render an SVG with labeled axes and gridlines. The code filters out January 2018 data and manually prepends a January 2017 point before generating the smooth curve.

ice7_task3

This dark-themed area chart visualizes the average monthly listeners of top Spotify artists grouped by their debut year. The chart uses a blue gradient-filled area with a lighter line overlay, and interactive data points display exact values via a tooltip on hover. Built with D3 v7, it loads CSV data, aggregates it with `d3.rollup` and `d3.mean`, and renders the visualization using SVG paths generated by `d3.area` and `d3.line`.

BBalaji Dasari

SPOTIFY - Scatter Plot

This scatter plot visualizes Spotify listening habits by plotting numeric columns from a CSV dataset, with axes automatically selected based on the most complete fields. The visualization loads data via `d3.csv` and uses reusable `d3.scaleLinear` scales, `d3.axisLeft` and `d3.axisBottom` for axes, and SVG circles for marks. It responsively redraws on window resize, applying custom margins and labels. The chart highlights relationships between behavioral metrics like newly discovered artists and mood scores, rendered with the D3 v6 library.