Steam Database
IsThereAnyDeal
GG.DEALS
Steam Charts
Steam Spy
Augmented Steam
HowLongToBeat
VG Insights
Plotly
D3.js
Chart.js
Highcharts
Google Charts
RAWGraphs
Tableau
Microsoft Power BI
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Based on our record, Steam Database seems to be a lot more popular than Plotly. While we know about 680 links to Steam Database, we've tracked only 30 mentions of Plotly. 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.
Asking if you should buy a game now or wait for a sale isn't allowed, asking when a game will go on sale is not allowed, asking how big of a discount a game might get is not allowed. Use SteamDB to look at sale histories on games. Source: 7 months ago
Here's how to cure you from your buying habit, checkout https://steamdb.info/, check the price history of the game you're thinking of getting. Most likely it's on sale once every odd month, and discount percentages are only ever increasing over time. So really you can just buy it when you think you have time to play it soon. Source: 7 months ago
Correct, it's trending on https://steamdb.info/ if you look at the panel, some games will show zero players. But OP is wrong, other games are trending too. Source: 7 months ago
Asking if you should buy a game now or wait for a sale isn't allowed & asking when a game will go on sale is not allowed. Use SteamDB to look at sale histories on games. Source: 7 months ago
You can use the Steam console to download older versions as described here. You can get the depot and manifest IDs from SteamDB. Source: 7 months 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 / 22 days ago
For dashboards: - https://plotly.com/ is probably my favourite, but there are others like streamlit, voila and others... Source: 7 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: over 1 year ago
IsThereAnyDeal - "When the price is right, you will play all night."
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.
GG.DEALS - Very good and clear site for best deals.
Chart.js - Easy, object oriented client side graphs for designers and developers.
Steam Charts - An ongoing analysis of Steam's concurrent players.
Highcharts - A charting library written in pure JavaScript, offering an easy way of adding interactive charts to your web site or web application