It’s crucial you address R Shiny accessibility early on. Why? Because you want to make sure your data products can be used by all users – inclusivity matters. In a...continue reading.
The rstudio::conf is quickly approaching and we at Appsilon are so excited. It’s like waiting for your birthday; knowing full well that there will be surprises, presents, and lots of...continue reading.
Creating a beautiful, professional, and user-approved UI plays a vital role in the success of any project. Applications developed using Shiny are no exception. The Shiny package comes with its...continue reading.
Are your Shiny dashboards getting slow? Maybe it’s time to explore some R Shiny caching options. We’ve been there – a client wants dozens of charts on a single dashboard...continue reading.
User adoption is an important metric for any application’s success. But measuring adoption hasn’t always been a priority for Shiny developers. We think it’s time to change this. So today...continue reading.
Being able to monitor user behavior lets you know why something works (or doesn’t) in your dashboard. It helps build your user adoption strategy with user behavior analytics. So what’s...continue reading.
Probably the most common question I get from new data science students is, “Which language should I learn … R or Python?” This is a somewhat complex question to answer,...continue reading.
This tutorial will explain how to create a scatter plot in R with ggplot2. It will explain the syntax for a ggplot scatterplot, and will also show you step-by-step examples....continue reading.
Visual Representation of Text Data Sets Using the R tm and wordcloud Packages: Part One Douglas M. Wiig This paper is the next installment in series that examines the use...continue reading.
Taking a jpg image and converting it to raster, getting pixelized data manipulation of the image and plot a scatter image. Sound like another useless R function, that can produce...continue reading.
Generating password is a hustle and I don’t want to go into the philosophy of passwords. Strong password, lengthy password, automatically generated password, etc. For me, they are all hard...continue reading.
Another post on the series of useless-useful R functions. This time more on the fun side and only using paste() function for concatenation and sample() function for selection of random...continue reading.
One of our main roles at Jumping Rivers is to set-up and provide ongoing maintenance to R, Python and RStudio infrastructure. This typically involves ensuring software is up-to-date and making...continue reading.
Continuous integration is an amazing tool when developing R packages. We push a change to the server, and a process is spawned that checks we haven’t done something silly. It...continue reading.
In the last few months since covid-19 has struck, everyone is suddenly talking about supply chains. Just a few months ago, this was sort of a “boring” topic, only discussed...continue reading.
One of the most common questions I get from data science students is “should I learn R or Python?” In the last year or so, many of the blog posts...continue reading.
In this blog post, we’ll create a data visualization to analyze covid19 data and visualize successful vs. unsuccessful countries. You’ll see exactly what I mean by that in a minute....continue reading.
Ok … welcome back to this covid19 data analysis series with R. In this series, we’re analyzing covid19 data with the R programming language. So far in this series, we’ve...continue reading.
This tutorial is part of a series of R tutorials analyzing covid-19 data. For parts 1 and 2, see the following posts: https://www.sharpsightlabs.com/blog/r-data-analysis-covid-19-part1-data-wrangling/ https://www.sharpsightlabs.com/blog/r-data-analysis-covid-19-part-2-merge-datasets/ Covid19 analysis, part 3: initial data...continue reading.
This tutorial is part of a series of R tutorials analyzing covid-19 data. For part 1, see the following post: https://www.sharpsightlabs.com/blog/r-data-analysis-covid-19-part1-data-wrangling/ Covid19 analysis, part 2: merge datasets In this tutorial,...continue reading.
GIS / R / R News / Shiny / Visualization
Interactive visualization of geospatial data with R Shiny
April 17, 2021
