stringr
ggplot2
stringr | ggplot2 | |
---|---|---|
13 | 62 | |
574 | 6,328 | |
1.2% | 0.5% | |
5.7 | 9.4 | |
22 days ago | 6 days ago | |
R | R | |
GNU General Public License v3.0 or later | GNU General Public License v3.0 or later |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
stringr
-
Is there a better way to grep like this?
Perhaps str_extract_all() from stringr? (since you're already using dplyr)
-
First time writing a script for automation
There are base R ways of finding strings grep(), as well as packages such as {stringer} (cheat sheet available here: https://stringr.tidyverse.org/)
- osdc-2023-assignment1
-
how can i remove symbols from columns?
If you're unfamiliar with regex, it may help you review the stringr cheat sheet: https://stringr.tidyverse.org/
- Help Removing Double Quotes
- CLEANING DATA PROBLEM
- Recommendation for good reference materials on string/character operations in R
-
Matching text strings
Without knowing more, it seems likely that some combination of stringr and fuzzyjoin will be what you need.
-
HELP ME PLEASE!!!!
Search for info about the grepl-function and read the cheat sheet from the stringr-package, that should get you started: https://stringr.tidyverse.org/
-
How to search a data table for multiple objects?
Looks like you have a misunderstanding about the right-most column. Don't think of the cell values as vectors of length=N elements, c("gene1", "gene2", ..."geneN"). Instead, think of each cell as a character string (vector of length=1), "gene 1, gene 2, ... geneN". Finding specific sequence of characters within a string is different from finding matching elements of vectors. Without changing the column, you can use regular expressions and base R string functions and/or stringr if you're more comfortable with tidyverse.
ggplot2
- ggplot2
- Ask HN: How do you build diagrams for the web?
-
Visualizing shapefiles in R with sf and ggplot2!
ggplot2
- Ask HN: What plotting tools should I invest in learning?
-
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.
-
[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.
-
Facts about Aaron Boone's Ejections as Manager
I used the ggplot2 package in R to create these figures.
-
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 visualization tools to survive on Mars. He uses Python's Pandas to clean and organize data, and he uses R's ggplot2 to create visualizations of his data. These tools allow him to make sense of the vast amounts of data and help him to make critical decisions about his survival.
-
[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.
-
[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).
What are some alternatives?
glue - Glue strings to data in R. Small, fast, dependency free interpreted string literals.
Altair - Declarative statistical visualization library for Python
Biopython - Official git repository for Biopython (originally converted from CVS)
tmap - R package for thematic maps
cheatsheets - Posit Cheat Sheets - Can also be found at https://posit.co/resources/cheatsheets/.
vega - A visualization grammar.
CrispRVariants
dplyr - dplyr: A grammar of data manipulation
worldfootballR - A wrapper for extracting world football (soccer) data from FBref, Transfermark, Understat and fotmob
deneb - Deneb is a custom visual for Microsoft Power BI, which allows developers to use the declarative JSON syntax of the Vega or Vega-Lite languages to create their own data visualizations.