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WindsoraiR package for accessing Windsor.ai API from R
I recently got acquainted with Windsor.ai – a hub for connecting various sources of marketing data like Facebook ads or Google Analytics. The platform is interesting because it provides ways to analyze and visualize your merged marketing data through template dashboards or to pipe the data to any number of tools (Python, R, Google data Studio, Tableau, etc).
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A guide for reproducible data analysis in Macedonian
2020 has been a sad and difficult year for many and certainly unusual for all of us. For us at Discindo, the adjustments required by limited mobility and closures were not easy, but our work is mostly online and remote anyway, so we are surely much better off than most.
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Few things I learned while writing an R package
I wanted to learn to write an R package for some time, but I didn’t have an idea what should the package do. Then I saw newscatcher and decided to build an R clone, and newscatcheR was born.
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Asynchronous background execution in Shiny using callr
When designing Shiny applications we commonly associate asynchronous execution with multiple concurrent running sessions of an application. In such cases, when one user has requested a longer computation or a database query, the other users have to wait for this task to finish before they can see their plots and tables.
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Six months of #rstats workshops in Skopje, and more
In August 2019 I sent a tweet asking if there any R enthusiasts in Skopje. The tweet got some attention (8 Retweets, 22 Likes) and encouraged us to have our on September 3rd we had our first event on September 3rd in the Skopje Hacklab KIKA.
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Using GitHub actions with R: Some notes from our #TidyTuesday setup
Beginning in September 2019 we started organizing a #TidyTuesday event at the hacklab in Skopje - KIKA. It has been 15 events in 2019, and it’s been great. One of the things we wanted to do from the outset was to have an online repository of all the code and presentations.
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Basic visual manupulation of phylogenies in R
From time to time I visit Stack Overflow (SO) to look at discussions on R, Shiny, and Tidyverse problems. Being an evolutionary biologist, this lead me to learn R in the first place, I also check for any questions related phylogenetics.
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