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Shiny Manufacturing Reviews & Insights

Score8 out of 10

12 Reviews and Ratings

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Community insights

TrustRadius Insights for Shiny are summaries of user sentiment data from TrustRadius reviews and, when necessary, third party data sources.

Pros

Dynamic Visualization: Some users have found the dynamic visualization feature of the product to be particularly helpful, allowing them to showcase interactive drop downs and sliders for analyzing data in an engaging and interactive manner.

Effective Trend Tracking: Reviewers have mentioned that the product enables them to create trend indexes effectively. This feature allows for easy tracking and analysis of trends over time, providing valuable insights for analytical work.

Data Transformation and Automation: Users appreciate the ability to build repeatable analytical pipelines with the product, automating and streamlining their data analysis processes. They find this feature useful for data transformation and visualization tasks.

Shiny Reviews

2 Reviews
ManufacturingElectrical & Electronic Manufacturing1Pharmaceuticals1

Trying to advance R analysis with Shiny

Rating: 8 out of 10
Incentivized

Use Cases and Deployment Scope

Shiny is a very useful tool to share the analysis performed by the team when people need to interact with them. Very useful especially when different scenarios have been performed and the variable is a choice point. The receiver can compare and visualize them in an easy app/dashboard with Shiny.

Pros

  • Work with R Studio in a easy way
  • Build dynamic views working with variables
  • Easy to share

Cons

  • More aesthetic visuals
  • Complex for non-technical profiles

Likelihood to Recommend

It is very useful when you are working with R Studio for analyzing data and you need to share the outputs with colleagues or stakeholders. Especially useful for dynamic visuals based on a variable to show how different scenarios would be based on the decision variable. It is slightly complex for executive forums and to show key insights from the analysis as the final output, but very good during the analysis.
VU
Verified User
Analyst in Product Management (Electrical & Electronic Manufacturing company, 10,001+ employees)
Vetted Review
Shiny
2 years of experience

Shiny gives a good product for an affordable price

Rating: 8 out of 10
Incentivized

Use Cases and Deployment Scope

We deliver dashboards from specific models generated in R for diverse researchers working in the Research and Development department.

There are models generated to model different diseases (called disease modeling) that include working with patient data (historical data).

This can include Rx, fluids, and medical notes. It involves different structures of data, such as text, columnar, time series, and images.

Pros

  • Interacting with ML models.
  • Deliver an online service.
  • Ability to select the best model.

Cons

  • Speed
  • Work in the cloud.
  • Working with images.

Likelihood to Recommend

Shiny is well suited for classical ML models that involve 1 specific type of data and the model uses a specific R library or package.

When the problem needs the application of several tools and libraries, Shiny could improve the speed of the model in production.

I really like how you can play with your models using real data.
VU
Verified User
Engineer in Research & Development (Pharmaceuticals company, 5001-10,000 employees)
Vetted Review
Shiny
2 years of experience