This is a short post describing how to use Plotly to make text-heavy charts cleaner in R. Introduction David Robinson presented a beautiful way to visualize the ratings of the Office episodes in this screencast: The chart (shown below) is sufficiently readable when zoomed in on a full HD monitor, but is quite messy when exported to a smaller frame. Moreover, some of the episode names are not displayed (to avoid overlapping). ...
Photo Credit Plotly has a new high-level wrapper libaray for Python called Plotly Express. Along with the new theming system introduced late last year, this post documents me trying out the new API and features. It also includes simple comparisons between the base Plotly.py API and the Plotly Express, and my initial thoughts on Plotly Express. This post does not intend to cover all kind of plots. Only plots relevant to the particular dataset used here (basically bar charts) are covered. ...
A_Different_Perspective from Pixabay RAPIDS RAPIDS is a collection of Python libraries from NVIDIA that enables the users to do their data science pipelines entirely on GPUs. The two main components are cuDF and cuML. The cuDF library provides Pandas-like data frames, and cuML mimics scikit-learn. There’s also a cuGRAPH graph analytics library that have been introduced in the latest release (0.6 on March 28). The RAPIDS suite of open source software libraries gives you the freedom to execute end-to-end data science and analytics pipelines entirely on GPUs. RAPIDS is incubated by NVIDIA® based on years of accelerated data science experience. RAPIDS relies on NVIDIA CUDA® primitives for low-level compute optimization, and exposes GPU parallelism and high-bandwidth memory speed through user-friendly Python interfaces. ...
Plotted with R package dygraphs. (Click the image to access the interactive version) Source: US Embassy Source: WHO guideline p.279
I’ve been looking for a way for me to easily develop and share data visualization. I don’t want static image files because of their inflexibility, and creating every plots using D3.js seems like an overkill. Plotly, a web service that creates plots based on D3 and provides API for both Python and R, has so far been a very good match for my needs. To get started, you can read this tutorial for R, or the official documentation. ...