SCATTER PLO SUBHASH

Fork of HTML Starter-ic6

This scatter plot visualizes YouTube channel analytics, mapping total views on the x-axis against watch time in hours on the y-axis. Each circle represents a week of data, with hover interactions revealing a tooltip containing additional metrics like likes, comments, and subscriber gains. The visualization uses d3.scaleLinear for axes and d3.axisBottom/axisLeft for tick marks, while circles animate into place via d3.transition. Data is loaded from a remote CSV file using d3.csv, and the SVG rendering incorporates a dark theme with responsive sizing.

82% match

Fork of ICE5_SUBHASH

This scatter plot visualizes YouTube channel analytics, showing the relationship between total views and watch time in hours across multiple weeks. Built with D3.js v7, it converts CSV data into a clean SVG chart with animated bubbles that grow into place. Hover interactions reveal a detailed tooltip containing weekly metrics like likes and subscriber gains. The visualization uses D3's scale functions for axis mapping, autoType for parsing, and transition methods to animate the dots.

81% match

piechart-subhash

This example visualizes YouTube channel analytics as an animated, reusable pie chart that cycles through five metrics—Views, Likes, Comments, Watch Time, and Subscribers Gained—every two seconds. Built with D3 v6, it uses `d3.pie` and `d3.arc` to generate slices, `scaleOrdinal` with `schemeTableau10` for colors, and includes labeled leader lines plus a legend. The chart reads data from a CSV gist, parsing numeric fields, and renders as SVG with a `setInterval` driving the metric rotation.

79% match

Fork of BARCHART-SUBHASH

This animated bar chart displays YouTube Channel Analytics, tracking weekly views alongside likes, comments, watch time, and subscriber gains. Built with D3 v7, it fetches CSV data from a GitHub Gist and renders an SVG with red rounded bars that grow from the baseline. The chart uses `d3.scaleBand` and `d3.scaleLinear` for axes, `transition` to animate bar heights, and a custom tooltip on mouse events, all styled with hover effects on a dark theme.

subhash-areachart

This area chart visualizes YouTube channel analytics, plotting watch time in hours across weekly data points. The visualization combines a filled area path with a steelblue outline line to emphasize trends in the time-series data. Built with D3 v7, the reusable `areaChart` component uses `scaleLinear` for both axes, `d3Area` and `d3Line` for path generation, and `axisBottom`/`axisLeft` for tick rendering. Data is loaded from a CSV hosted on GitHub Gist and parsed with `csvParse`. The chart renders responsively to the full window size using SVG.

Untitled

This interactive scatterplot visualizes YouTube channel tag data, plotting the number of views per tag against how frequently each tag is used. The React application lets users search for a channel via the YouTube Data API v3, then aggregates tag statistics from the returned video items. Rendered as SVG circles with randomized colors, the visualization uses D3 scales, axes, and formatting functions. The code imports React hooks, D3 utilities, and custom axis and mark components to display the relationship between tag popularity and usage frequency.

HHuldahMerlinKolli

Bbodushivani2601@gmail.com

shivani ice7

This scatter plot visualizes the relationship between subscriber counts and total views for the top 10 YouTube channels, with circle size encoding channel rank and color distinguishing country of origin. It uses D3 v7's `scaleLinear`, `scaleOrdinal`, `axisBottom`, and `axisLeft` APIs, rendering as SVG with interactive hover tooltips. The chart also includes a custom legend built with D3 selections. Data is loaded from a local CSV file using `d3.csv`.