The Third Wave
Data Science is not just for Engineers and Statisticians.
It’s for Everyone who is interested in data.
Read more about The Third Wave of AI.
Exploratory’s Simple UI experience makes it possible for Anyone to access the latest and the most advanced innovation in Data Science to discover deep insights.
Trusted By
Customer Testimonial
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...
David Meza
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.
Sara Vasquez
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.
Brian Landes
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
増谷 修 (Osamu Masutani)
Data Scientist at Japan Taxi
Data Science for Anyone
The modern Data Science has made it easier to work with various types of data and use machine learning and statistical algorithms to find patterns and trends hidden in the data, even without a strong statistical background. But it is limited to Data Scientists and Programmers.
Exploratory makes it easier for anyone to use the modern and the cutting edge open source algorithms without a programming background. We believe in the world where anyone can access to the latest algorithms and understand the world better through data.
Data Science Workflow
Data Access
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, etc. or write your own R script!
Data Wrangling
80% of the time spent on data wrangling for most of the data science projects. Exploratory provides a full featured environment to make you comfortable working with any data challenges.
Data 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, Twitter, Facebook, etc.
Machine Learning / AI / Statistics
Machine Learning, AI, Statistics algorithms are not just for Data Scientists or Engineers. You need them to find hidden patterns and trends from your data effectively. Exploratory curates the best and the most useful modern open source algorithms, and makes it easier to use them as part of your daily business data analysis routines without a need of a programming or statistical background.
Bayesian A/B Testing
Running A/B Testing without having a proper way to evaluate the result is not just wasting your money but also can leave to a disastrous outcome for your business. Bayesian A/B Testing framework employs Bayesian methods to evaluate the test results in a way human can understand.
Survival Analysis
To analyze your retentions or churns better you need Cohort Analysis. And if you want to do it right, you need statistical algorithms like Kaplan-Meier. Cox Regression. With Exploratory, you can easily access them and quickly find which cohorts have the problems and what features are helping your customers retain.
Time Series Forecasting
The modern machine learning algorithms help you build models to predict better results even without a statistical background. Time Series Forecasting is one of them. You can not only forecast for the measures you’re interested, but also find trends and outliers quickly.
Variable Importance
Algorithms like Random Forest, GLM, etc. can help you quickly find what and how attributes or variables are influencing the outcome you are interested in.
and many more!
Communicate / Present
All the effort and time you spent for finding meaningful insights from your data will be lost if you fail to present and communicate them effectively with others. Exploratory makes it easier for you to write stories around your discoveries with the simple markdown editor. Not only you can embed charts and tables from your analysis, but also you can bring your favorite R packages natively to present your insights better.
Share / Collaborate
Data Science is a team sport. The last thing you want to do is to share the data as CSV, which loses all the context behind the data. With Exploratory, you can share your data with the reproducible steps and the annotation text so that others can understand your work better and even improve it effectively.
Extend Exploratory with your favorite R packages or your own R functions for your data analysis, your GeoJSON for spatial data visualization, your color palettes for data visualization, and your own data sources. Oh, have we mentioned you can interact with data in a command line mode as well?
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