With a simple UI experience and the depth of R's analytics power, you can interact and understand ANY data at the speed of your thought.
Extract from variety of data sources
You can quickly extract data from various data sources such as Redshift, BigQuery, PostgreSQL, MySQL, Oracle, SQL Server, Vertica, MongoDB, Presto, Google Analytics, Google Spreadsheet, Twitter, Web Page Scraping, CSV, Excel, JSON, Statistical files, R script, and many others!
80% of the time for typical data science projects is spent on data wrangling. Exploratory provides a full featured environment to make you comfortable working with any data challenges.
Explore with Visualization
Exploratory provides a wide range of visualization types to help you explore your data and uncover hidden patterns quickly. Once you find interesting insights, you can quickly share through Note, Slack, Medium, Wordpress, Websites, etc.
Explore with Machine Learning Models
Exploratory provides not only an easy access to the wide range of R’s statistical and machine learning model capability but also a simple way to build, predict, and evaluate the models as part of the data exploration experience.
Visualizing your data on map can reveal geographical patterns in your data. You can either use standard map types or bring your own custom maps (GeoJSON) to meet your specific needs in geospatial data.
You can access to more than 10,000 R packages available on CRAN to extend your data analysis in Exploratory. Oh, have we mentioned that you could interact with data in a command line mode with your own R scripts?
Exploring data is a key part of my duties. Exploratory allows me to quickly walk through different scenarios, add paths, visualize and revert a few steps when I need to, all in an easy to use interface. It saves me quite a bit of time...
Chief Knowledge Officer, NASA
This is an awesome UI experience for Data Scientists.
Marcos M. Campos
Head of AI @BonsaiAI
Exploratory has changed my data analysis workflow. Now I am able to use one tool from data wrangling to modeling, but it is also flexible so that I can use it with other tools if needed by the client.
Data Analyst, Education
I can spend my time thinking about the data and coming up with questions regarding the underlying patterns rather than spending time learning all the details of the R system.
Consultant at Open Sky Consulting, LLC
You mix the power of R with a beautiful user friendly interface. I once explored a table with more than 40 millions rows in Exploratory !
Dr Anne Jamet
Anne Jamet (MD-PhD), Clinical Microbiology Resident, Hôpital Necker Enfants Malades