Exploratory Desktop
Exploratory’s Simple UI experience makes it possible for anyone to use Data Science to Explore data quickly, Discover deeper insights, and Communicate effectively.
Data Science with Exploratory
In order to answer business questions with data, you need 5 pillars of Data Science tasks. They are Data Access, Data Wrangling, Visualization, Analytics, and Communication.

Exploratory’s simple UI experience provides not only the best capability in each area but also a natively integrated experience that is designed from the ground up.
Data Access
You can quickly extract data from various built-in data sources such as Redshift, BigQuery, PostgreSQL, MySQL, Oracle, SQL Server, Vertica, MongoDB, Presto, Google Analytics, Google Spreadsheet, Twitter, Web Scraping, CSV, Excel, JSON, etc. or write your own R script!
Supported Data Sources
Data Wrangling
Exploratory’s simple and interactive UI experience makes data wrangling not just more effective, but also more fun.
Look What You Can Do
Data Visualization
Exploratory’s simple UI makes it easy to visualize data with a wide range of chart types you need to explore your data and discover insights quickly.
Look What You Can Do
Statistics / Machine Learning
Whether you are just starting out or a seasoned Data Scientist, Exploratory’s simple UI experience makes it easy to use a wide range of open source Statistics and Machine Learning algorithms to explore data and gain deeper insights quickly.
Look What You Can Do
Bayesian A/B Testing
Survival Analysis
Time Series Forecasting
Random Forest
You can create your own Dashboards with Charts and Analytics quickly, make them interactive with super parameters, share them your securely, and schedule them to make them always up-to-date.
Notes & Slides
Exploratory’s simple authoring experience makes it easier to write Notes and create Slides to communicate your insights and stories. You can include charts, analytics, super parameters, images, videos, or even R scripts to make them interactive and more effective.
Share Data & Insights in Reproducible Way
You can share your Data, Chart, Dashboard, Note, and Slides all in a reproducible way. This means your teammates can import and reproduce them in their Exploratory so that they can extend them further.
Extend Beyond Exploratory
Exploratory is built on top of R. This means you have access to more than 15,000 data science-related open source packages. Extend Exploratory by bringing in your favorite R packages, creating your custom functions, GeoJSON Map files, data sources, and more.
R Script Editor
R Package Install
Knowledge Management
You can publish and share your insights at either Exploratory Cloud server or Exploratory Collaboration Server installed on your own server. With Exploratory Insight Page you can manage your published contents effectively and discover insights from others quickly.
Explore Insight Page!
Learn by Doing
Are you new to Data Science? No worry!

Exploratory Desktop’s simple and modern UI experience lets you focus on learning various data science methods by using them rather than figuring out how to set up or writing codes.

With Exploratory Insight Page, you can find many step-by-step and easy-to-follow tutorials to learn various Data Science methods including Data Wrangling, Data Visualization, Statistics, Machine Learning, etc.