Data Science for Non Programmers
One Desktop App for Data Wrangling, Visualization, and Advanced Analytics for both SQL and NoSQL without programming. Powered by R.

Extract from variety of data sources

Most of the data is sitting outside of the traditional databases today. You can quickly extract data from various data sources such as Apache Spark, Amazon Redshift, Google BigQuery, PostgreSQL, MySQL, MongoDB, Presto, Google Analytics, Google Spreadsheet, Twitter, Web Page Scraping, CSV, Excel, JSON, Statistical files, and much more. 

Explore by Wrangling

Data wangling is an essential part of data exploration. The grammar based interface makes it easy and flexible to build your analysis steps that is reproducible. Smart syntax suggestion helps you explore data with speed of thoughts.

Explore with Visualization

A rich set of charts makes it easy to inspect and understand your data quickly at every step of your data analysis. You can share your insights by sharing the interactive chart with a single click through Slack, Web, Blog, Twitter, etc.

Explore with Algorithms

Being able to easily employ variety of algorithms available in R like Clustering, Classification, Regression, Association Rules, Correlations, Similarity, NLP (Natural Language Processing), Text Sentiment Analysis, etc, helps you quickly find more insights that matter to your business.

Collaboratively Explore Data

You can easily share your data and charts with data exploration steps in a reproducible way, which makes it easy to collaborate with others to explore data together and gain better insights rapidly. 

Extend with R

Access and use thousands of existing R packages or write your own functions to access other data sources, explore data more flexibly, and build models with more algorithms.