As always, we’re working hard to deliver a great product. Check out our breaking updates in this latest release. On Tuesday, August 16, we released version 0.7.0 of atoti! If you have not had a chance to read about the changes in our changelog, we’ll go through a select subset...
How to leverage BI tools to communicate effectively with tech and business users alike
As business or data analysts, there are times when we are presented with a set of data and asked to provide some insights from it. Not only do we have to present our findings to the business users, we often have to account for their technical credibility. “Technical” credibility here...
Upgrade Notebooks to atoti v0.6.0
The latest version of atoti is big, with many breaking changes. This upgrade guide will help you get your notebooks up and running Introduction The latest version of atoti is packed with many changes, from performance upgrades to a new way to run simulations. To deliver this improved experience, we’ve...
Happy Data Scientist: How to Build a Business Intelligence App with 10 Lines of Python Code
In this post, I’d like to show how to quickly build a Tableau-like BI application on top of your data in a Jupyter Notebook using the atoti python module. It can give your users an easy way to: explore the data produced by your model with an interactive UI, play...
Top count in Jupyter notebook: atoti vs Pandas + Matplotlib
How frequently do you perform a top count while doing some data analysis? In this article, we do a quick comparison between 2 python libraries - atoti and Pandas - to see how we can achieve the below tasks with the Google Play Store Apps data from Kaggle: Visualize top...
Dynamic pivot tables in notebooks: atoti
Drill down to where it matters Edit: Note that this article is based on atoti version 0.4.3 and some features may no longer be relevant. Check out the atoti documentation for the latest features. If you are reading this article because of the title, you probably already know what a...