Software Alternatives & Reviews

ggplot2

Application and Data, Libraries, and Charting Libraries subtitle

ggplot2 Reviews and details

Screenshots and images

  • ggplot2 Landing page
    Landing page //
    2023-02-27

Badges

Promote ggplot2. You can add any of these badges on your website.
SaaSHub badge
Show embed code

Videos

Learn R: An Introduction to ggplot2

Review ggplot2 Line Graph Exercise

Code-through and review of Ggplot2 in 2

Social recommendations and mentions

We have tracked the following product recommendations or mentions on various public social media platforms and blogs. They can help you see what people think about ggplot2 and what they use it for.
  • Ask HN: What plotting tools should I invest in learning?
    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 / 9 months ago
  • Relative frequency of letters in five-letter English words (Wordle aid) [OC]
    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: 10 months ago
  • [OC] U.S. News & World Report Best Colleges: 2002 to 2023
    Thanks, it's an interesting idea! I definitely could implement this with scale_fill_gradientn) in ggplot2. Source: 11 months ago
  • Facts about Aaron Boone's Ejections as Manager
    I used the ggplot2 package in R to create these figures. Source: 11 months ago
  • Fueling Innovation and Collaborative Storytelling
    This might not be at the top of your list, but science fiction often presents advanced data analysis and visualization technologies. Open source data analysis tools such as Python's Pandas and R's ggplot2 have revolutionized the field, making complex data manipulation and visualization accessible to all. In the science fiction novel The Martian, astronaut Mark Watney uses a variety of data analysis and... - Source: dev.to / 11 months ago
  • [OC] Visualizing Financial Market Returns Across Many Asset Classes via Heatmaps
    Sorry about the slow reply, but the auto-moderator seems to be deleting my comments (for some unknown reason). I will try once more: the geom_tile function in ggplot2. Source: 11 months ago
  • [OC] Forbes List of Highest-Earning Musicians: 1987 to 2021
    Visual cues are a much better idea, thanks! Unfortunately, I don't know how to do that in ggplot2, either (I created these figures in R). Source: 11 months ago
  • Help creating a specific plot in R
    This should get you started. Here's another good cheat sheet. Ggplot2 is pretty logical once you get the jist. Putting the legend on the right side is absolutely possible. Source: 12 months ago
  • Need help combining plots
    I highly suggest checking out some ggplot resources online, such as this documentation. I understand that you're getting your desired plots, but your syntax is a little wonky. Source: 12 months ago
  • PSA: You don't need fancy stuff to do good work.
    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: 12 months ago
  • JSON to PDF Magic: Harnessing LaTeX and JSON for Effortless Customization and Dynamic PDF Generation
    For more information on how to use ggplot2 and create charts consult the ggplot2 official page or the ggplot2 cheat graphic. - Source: dev.to / about 1 year ago

External sources with reviews and comparisons of ggplot2

5 Best Python Libraries For Data Visualization in 2023
ggplot is a system for creating graphics declaratively. It’s based on the Grammar of Graphics of R programming language and is tightly integrated with Pandas. ggplot just requires you to declare how to map the variables to aesthetics and primitives to use and handles the rest automatically. Remember, ggplot is not recommended for creating highly customized graphics.
Top 8 Python Libraries for Data Visualization
Ggplot is a Python data visualization library that is based on the implementation of ggplot2 which is created for the programming language R. Ggplot can create data visualizations such as bar charts, pie charts, histograms, scatterplots, error charts, etc. using high-level API. It also allows you to add different types of data visualization components or layers in a single visualization. Once ggplot has been told...

Do you know an article comparing ggplot2 to other products?
Suggest a link to a post with product alternatives.

Suggest an article

Generic ggplot2 discussion

Log in or Post with

This is an informative page about ggplot2. You can review and discuss the product here. The primary details have not been verified within the last quarter, and they might be outdated. If you think we are missing something, please use the means on this page to comment or suggest changes. All reviews and comments are highly encouranged and appreciated as they help everyone in the community to make an informed choice. Please always be kind and objective when evaluating a product and sharing your opinion.