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TrendSpider
ggplot2Based on our record, ggplot2 should be more popular than TrendSpider. It has been mentiond 12 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.
Corrected sentence: Every data costs money, but I believe that public data/information must be accurate and visually appealing. Among so many competitions, websites like simply.ws , fastgraph.com , and trendspider.com they must provide better info. Source: over 3 years ago
If the mobile app revamp is any suggestion of where Fidelity intends to go, Iโd like to suggest they acquire TrendSpider, the small trading platform. Source: over 3 years ago
As for alternatives, I looked a bit into this but I haven't actually used it. Definitely recommend checking out their videos for a while first (they have a youtube channel). https://trendspider.com. Source: almost 4 years ago
Pricing is between $400 - $1200 / yr depending on your use case. 7 day free trial. Usually do 50% off on black friday. https://trendspider.com/. Source: almost 4 years ago
How does it compare to something like Tradytics or Trend Spider? https://tradytics.com/ https://trendspider.com/. - Source: Hacker News / about 4 years ago
Plotnine is heavily inspired by the ggplot2 library, which uses the + operator in the same way: https://ggplot2.tidyverse.org/#usage. - Source: Hacker News / about 2 months ago
For random, quick and dirty, ad-hoc plotting tasks my default is GNUPlot[1]. Otherwise I tend to use either Python with matplotlib, or R with ggplot2. I keep saying I'm going to invest the time to properly learn D3[4] or something similar for doing web-based plotting, but somehow never quite seem to find time to do it. sigh [1]: http://www.gnuplot.info/ [2]: https://matplotlib.org/ [3]:... - Source: Hacker News / about 3 years ago
I got the list of five-letter words from the words package in R, created the QWERTY keyboard grid with base R and tibble, and visualized the data with geom_tile in the ggplot2 package. Source: about 3 years ago
Thanks, it's an interesting idea! I definitely could implement this with scale_fill_gradientn) in ggplot2. Source: about 3 years ago
I used the ggplot2 package in R to create these figures. Source: about 3 years ago
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