Market Cap vs. Twitter Followers

Greater than 100k Alexa Rank and less 10m market cap

This scatterplot maps cryptocurrencies whose Alexa rank exceeds 100,000 against their market cap, which is under $10 million. Each circle is sized by market cap and colored by coin, with a smooth animated transition between the v2 and v3 datasets when the user clicks a button. Built with D3 v4, the SVG visualization uses logarithmic axes to accommodate the wide range of values, and the animation highlights changes in the crypto landscape over time.

72% match

Multi Cryptocurrency - Volume vs Market Cap

This interactive scatter plot visualizes the relationship between trading volume and market capitalization for selected cryptocurrencies (BTC, AAVE, XMR, LTC). Built with D3 v6 and SVG, it uses `d3.scaleLinear` for both axes and `d3.scaleOrdinal` with `d3.schemeCategory10` for color encoding. Users select a cryptocurrency via radio buttons, triggering a redraw through `d3.selectAll` and `.remove()`. The plot includes rotated x-axis tick labels and a color-coded legend. Data is loaded via `d3.csv` from a remote dataset, with axes formatted using `d3.format(".2s")`.

69% match

Market Capitalization Bar Chart

This bar chart compares Bitcoin market capitalization across different countries using data from Kaggle’s cryptocurrency price history. It aggregates market cap values per country with d3.rollups and renders them as steelblue rectangles scaled by d3.scaleBand and d3.scaleLinear. The visualization includes rotated x-axis labels and formatted y-axis ticks via d3.axisBottom and d3.axisLeft, with both axes and chart title annotated as SVG text. Data is loaded asynchronously via d3.csv.

66% match

Top 100 cryptocoins reddit scam chatter

This horizontal bar chart visualizes the "scam index" for the top 100 cryptocurrencies, derived from Reddit comment counts relative to market capitalization. Each bar is a coin, and its length encodes the ratio of scam-related Reddit chatter to market cap. The chart uses a linear x-axis for the scam index and a categorical y-axis for coin names, with bars colored steelblue. Clicking a bar opens a Reddit search for that coin symbol plus "scam." The visualization is implemented with D3 v4 using SVG, and includes axis labels for clarity, though the y-axis tick lines are removed for a cleaner look.

64% match

Top 100 cryptocoins reddit scam chatter

A horizontal bar chart ranks the top 100 cryptocurrencies by GitHub commit counts, with a diverging color scale encoding the number of contributors per project. Each bar is labeled with the coin symbol and name, with commit counts on the x-axis. The visualization uses a React + D3 v4 SVG implementation to render the sorted list, highlighting development activity through bar length and contributor-based color intensity. A subtle gridline system and hidden axes domains help focus on the data, while the title explicitly references Reddit scam chatter despite the underlying data being sourced from GitHub metrics.

64% match

Scatter Plot

A D3.js v6 scatter plot visualizes the relationship between trading volume and market capitalization for Bitcoin, using data loaded from a remote CSV file. The chart renders as an SVG with circle marks, linear scales for both axes, and formatted tick labels using `d3.format`. Axes are drawn with `d3.axisBottom` and `d3.axisLeft`, while rotated x-axis labels and a bold chart title are added via SVG text elements. The plot reveals the correlation between these two cryptocurrency metrics across the dataset.

63% match

Crypto Token Platforms v2

This example visualizes the market support for various token platforms using two donut charts. The data comes from Coin Market Cap and shows 13 platforms, including Ethereum, NEO, and Waves. One chart displays the number of tokens supported by each platform, while the other shows the total market capitalization supported, with platforms segmented by color and tied to clickable links in the legend. The pie charts are rendered in SVG via D3 v3, with tooltips providing additional details on hover. The visualization is split into two datasets: one for token counts and one for market cap, each broken down into "all tokens" versus "excluding tokens under $10M market cap." The legend links each platform name to its website. This is a static example, with no animation or interactivity beyond the tooltip. The code is licensed under the MIT license.

62% match

Multi Crypto - Market Capitalization per Month

This example visualizes the monthly market capitalization of four cryptocurrencies (BTC, AAVE, XMR, LTC) as a bar chart. Users select a cryptocurrency via radio buttons, which triggers a redraw of the chart filtered to that symbol. The visualization uses D3.js v6 to parse CSV data, aggregate values by year and month with `d3.rollups`, and render logarithmic-scaled bars with `d3.scaleLog` and `d3.axisBottom`/`d3.axisLeft`. The SVG output includes rotated date labels, axis titles, and a chart title. Data comes from a remote CSV hosted as a GitHub gist.