R Shiny App DevelopmentJosip Novak
I offer professional R Shiny app development, delivering interactive and data-driven web applications tailored to your needs. What makes me unique is my combination of expertise in psychometrics, advanced statistics, machine learning, and domain expertise in psychology, which enables me to develop analytically rigorous and user-friendly applications for obtaining insights from complex datasets.
What's included
R Shiny Application (local or deployed) with Source Code
Deployed on Shinyapps.io, RStudio Connect, or another platform—or delivered as a local version if deployment is not required. The package includes the complete source code, covering both UI and server components, structured in well-documented R scripts. The code is organized for easy modification, deployment, and maintenance.
Documentation & User Guide
A user guide that will assist users in using the Shiny app. It includes:
1. App Overview – A brief video demonstrating app functionalities.
2. Inputs & Outputs – Descriptions of each input and output element, their purpose, and how to use them.
3. Instructions for Running the App – Instructions on how to run the app locally, including installation and dependencies.
FAQs
An R Shiny app is an interactive web application built using the R programming language. It allows you to visualize, explore, and analyze your data dynamically in a user-friendly environment. Shiny apps can simplify data analysis, improve user engagement, and make data-driven insights more accessible to non-technical stakeholders.
R Shiny apps are ideal for data-driven projects where interactivity and visualization are key. This includes data dashboards, survey results analysis, predictive modeling, statistical analysis, and interactive visualizations. If you need to present complex data in an easy-to-use format, Shiny is an excellent choice.
No, you do not need technical knowledge to use the Shiny app. The app will be designed to be intuitive and user-friendly, allowing non-technical users to interact with the data and visualizations easily. Comprehensive documentation and user guides will also be provided to help you understand how to navigate the app.
Absolutely! The app can be customized to reflect your brand’s identity. This includes custom colors, logos, fonts, and other design elements.
Yes, Shiny apps can be integrated with machine learning models and advanced analytics. If you need to include features like predictive modeling, I can integrate these features into the app for real-time predictions based on user inputs.
Not necessarily. If you already have relevant data, that's great! However, if you don’t, I can help identify relevant data sources or suggest ways to collect the necessary information.
Yes, the app can be integrated with external data sources such as databases, APIs, or CSV files. I will ensure that the app can retrieve and process data seamlessly to provide the necessary outputs and visualizations.
I am committed to data ethics and understand the importance of protecting sensitive information. Your data will be used solely for the purpose of completing your project. It will not be shared with any third parties and will be deleted upon completion of the task.
Yes, the app will be built with flexibility in mind, allowing for future updates. You will have control over the app after deployment, and I can provide instructions on how to manage and update the app as needed. If you need ongoing support or updates, I offer additional maintenance services.
I offer post-development support for bug fixes, troubleshooting, and updates. If you experience any issues with the app after delivery, feel free to reach out, and I will work to resolve the issue as quickly as possible.
To run a Shiny app locally, you will need to have R and the Shiny package installed on your computer, as well as any other required dependencies (which will be clearly listed). I will provide detailed instructions on how to set everything up and ensure the app runs smoothly.
Deployment is optional. I can deploy the Shiny app on platforms such as Shinyapps.io, RStudio Connect, or your own server, depending on your preference. If you prefer to run the app locally, I will provide instructions on how to do so.
The timeline for developing a Shiny app depends on the complexity of the project and the features required. A simple app can take a few days to a week, while more complex applications may take several weeks.
Contact for pricing
Tags
Python
R
RStudio
Visual Studio Code
Data Analyst
Data Scientist
Statistician
Service provided by
Josip Novak Vukovar, Croatia
- 1
- Followers
R Shiny App DevelopmentJosip Novak
Contact for pricing
Tags
Python
R
RStudio
Visual Studio Code
Data Analyst
Data Scientist
Statistician
I offer professional R Shiny app development, delivering interactive and data-driven web applications tailored to your needs. What makes me unique is my combination of expertise in psychometrics, advanced statistics, machine learning, and domain expertise in psychology, which enables me to develop analytically rigorous and user-friendly applications for obtaining insights from complex datasets.
What's included
R Shiny Application (local or deployed) with Source Code
Deployed on Shinyapps.io, RStudio Connect, or another platform—or delivered as a local version if deployment is not required. The package includes the complete source code, covering both UI and server components, structured in well-documented R scripts. The code is organized for easy modification, deployment, and maintenance.
Documentation & User Guide
A user guide that will assist users in using the Shiny app. It includes:
1. App Overview – A brief video demonstrating app functionalities.
2. Inputs & Outputs – Descriptions of each input and output element, their purpose, and how to use them.
3. Instructions for Running the App – Instructions on how to run the app locally, including installation and dependencies.
FAQs
An R Shiny app is an interactive web application built using the R programming language. It allows you to visualize, explore, and analyze your data dynamically in a user-friendly environment. Shiny apps can simplify data analysis, improve user engagement, and make data-driven insights more accessible to non-technical stakeholders.
R Shiny apps are ideal for data-driven projects where interactivity and visualization are key. This includes data dashboards, survey results analysis, predictive modeling, statistical analysis, and interactive visualizations. If you need to present complex data in an easy-to-use format, Shiny is an excellent choice.
No, you do not need technical knowledge to use the Shiny app. The app will be designed to be intuitive and user-friendly, allowing non-technical users to interact with the data and visualizations easily. Comprehensive documentation and user guides will also be provided to help you understand how to navigate the app.
Absolutely! The app can be customized to reflect your brand’s identity. This includes custom colors, logos, fonts, and other design elements.
Yes, Shiny apps can be integrated with machine learning models and advanced analytics. If you need to include features like predictive modeling, I can integrate these features into the app for real-time predictions based on user inputs.
Not necessarily. If you already have relevant data, that's great! However, if you don’t, I can help identify relevant data sources or suggest ways to collect the necessary information.
Yes, the app can be integrated with external data sources such as databases, APIs, or CSV files. I will ensure that the app can retrieve and process data seamlessly to provide the necessary outputs and visualizations.
I am committed to data ethics and understand the importance of protecting sensitive information. Your data will be used solely for the purpose of completing your project. It will not be shared with any third parties and will be deleted upon completion of the task.
Yes, the app will be built with flexibility in mind, allowing for future updates. You will have control over the app after deployment, and I can provide instructions on how to manage and update the app as needed. If you need ongoing support or updates, I offer additional maintenance services.
I offer post-development support for bug fixes, troubleshooting, and updates. If you experience any issues with the app after delivery, feel free to reach out, and I will work to resolve the issue as quickly as possible.
To run a Shiny app locally, you will need to have R and the Shiny package installed on your computer, as well as any other required dependencies (which will be clearly listed). I will provide detailed instructions on how to set everything up and ensure the app runs smoothly.
Deployment is optional. I can deploy the Shiny app on platforms such as Shinyapps.io, RStudio Connect, or your own server, depending on your preference. If you prefer to run the app locally, I will provide instructions on how to do so.
The timeline for developing a Shiny app depends on the complexity of the project and the features required. A simple app can take a few days to a week, while more complex applications may take several weeks.
Contact for pricing