Two of those packages are ggplot2, used to create static visualizations, and Shiny, which can be used to create interactive visualizations and dashboards. Python and Data Visualization Python is a programming l
“I think any editing is just a heightened level of sensitivity to reaction. I think you’re just being super sensitive to the way in which your mind is reacting or your heart is reacting. And it’s not just an intellectual thing — it’s also very much an emotional thing.” https:/...
It also covers regression lines, smoothers, and error bars. Chapter 3, Mastering the qplot Function, explains how to use qplot to create a wide range of basic but attractive graphs. Chapter 4, Creating Graphs with ggplot, introduces you to ggplot, which is an even more powerful graphics ...
Consider categorising tools based on their capabilities, strengths, and ease of use for specific tasks. Matplotlib and Seaborn are foundational and versatile for static content. Plotly and Altair excel at interactivity and declarative approaches but are capable across the spectrum. ggplot2 is powerful...
Ris a statistical language often used by Data Scientists because it excels at statistical computing and graphics. It also provides an extendable environment featuring many packages like ggplot2 or dplyr, which facilitate the manipulation andvisualizationof datasets. ...
Hi, guys, I just received Hadley's email about the new ggplot2 release and did some tests. This is a minimal reproducible example of the error I could come up with. So first download this file with a ggplot object: https://drive.google.c...
R: R is another popular data science programming language that is well-suited for creating histograms due to its advanced data analysis capabilities and extensive visualization libraries, such as ggplot2. This six-step tutorial in R will teach you how to create histograms. Tableau: Tableau is ano...
The Cairo package is interesting since it requires Homebrew on Mac OS X and WinRPM on Windows.WinRPM further needs URLParse, HTTPClient, LibExpat, and ZLib. So, if we use Pkg.status() again on a Windows installation, we get the following:...
Why reprex? Getting unstuck is hard. Your first step here is usually to create a reprex, or reproducible example. The goal of a reprex is to package your code, and information about your problem so that others can run it…
Creating a plot of LBJ career stats. When I run last bit of code, p <- p + labs, it returns the error: Error in grid.Call(C_convert, x, as.integer(whatfrom), as.integer(whatto), : Viewport has zero dimension(s) I am new to R and programm...