Based on our record, Plotly should be more popular than Monero. It has been mentiond 30 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
A concrete show case: https://coinmarketcap.com/currencies/monero/ ("sort by volume"). Or see it here: https://i.imgur.com/XWe1SJ1.png. Source: 7 months ago
A crypto coin is simply a digital coin, created for making payments. Coins are created to act like money: in other words, they represent a unit of account, store of value, and medium of transfer. Crypto coins tend to take the form of their native blockchain, like with Bitcoin (BTC), Bitcoin Cash (BCH), Litecoin (LTC) and Monero (XMR). Source: about 1 year ago
I also recommend https://web.getmonero.org/ as well as https://xmrig.com/ regarding step by step configuration. Source: over 1 year ago
Why is monero's 24 hour trading volume down 35.17% today? https://coinmarketcap.com/currencies/monero/. Source: almost 2 years ago
Monero has a market cap just shy of $3 billion as of this writing, that seems a bit more than "niche" to me. Source: almost 2 years ago
How to Accomplish: Utilize visualization libraries like Matplotlib, Seaborn, or Plotly in Python to create histograms, scatter plots, and bar charts. For image data, use tools that visualize images alongside their labels to check for labeling accuracy. For structured data, correlation matrices and pair plots can be highly informative. - Source: dev.to / 3 days ago
For dashboards: - https://plotly.com/ is probably my favourite, but there are others like streamlit, voila and others... Source: 6 months ago
If your CEO wants you to solo build an alternative to Tableau, PowerBi, or even Plotly then consider him/her delusional. Source: about 1 year ago
Python's pandas, NumPy, and SciPy libraries offer powerful functionality for data manipulation, while matplotlib, seaborn, and plotly provide versatile tools for creating visualizations. Similarly, in R, you can use dplyr, tidyverse, and data.table for data manipulation, and ggplot2, lattice, and shiny for visualization. These packages enable you to create insightful visualizations and perform statistical analyses... Source: about 1 year ago
I use plotly and like it a lot. It is slower though. Noticeable if you want to batch-generate a bunch of images and dump them into a folder. But that probably isn't the case most times. Source: about 1 year ago
Litecoin - Litecoin is a peer-to-peer Internet currency that enables instant payments to anyone in the world.
D3.js - D3.js is a JavaScript library for manipulating documents based on data. D3 helps you bring data to life using HTML, SVG, and CSS.
Bitcoin - Bitcoin is an innovative payment network and a new kind of money.
Chart.js - Easy, object oriented client side graphs for designers and developers.
Ethereum - Ethereum is a decentralized platform for applications that run exactly as programmed without any chance of fraud, censorship or third-party interference.
Highcharts - A charting library written in pure JavaScript, offering an easy way of adding interactive charts to your web site or web application