Pivot (table) templates

Pivot cells allow you to interactively aggregate and pivot your data, in a UI-first way.

Cohort analysis@2x

Cohort analysis

Izzy Miller

With Hex, you can easily dive into cohort analysis using Python and unlock insights about your customer groups. Explore their behavior over time, spot retention patterns, and discover valuable nuggets of information. By defining cohorts based on shared characteristics, like the month of their first purchase, you'll gain a deeper understanding of how different customer sets behave. Hex empowers you to make smarter decisions and optimize your business strategies by leveraging the power of cohort analysis.

collaborative filter

Collaborative filtering

Izzy Miller

Understand how collective user tastes can be used to find products that are similar to each other and make personalized recommendations based on purchase history. Hex makes it easy to build a recommendation engine using collaborative filtering with Python, and then deploy it as an interactive web app.

See what else Hex can do

Discover how Hex data scientists and analysts use Hex for everything from dashboards to deep dives.

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Table templates

Table display cells are a way to visualize, filter, and format tabular data without writing any code. Simply choose a dataframe and use the Table display settings to apply any fitlers, change the data format of any column, hide any column, wrap text.

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Python templates

Hex’s first-class Python support unlocks a world of opportunity for data exploration.

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SQL templates

Query your warehouse, uploaded files, or dataframes directly with SQL.

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Map templates

Map cells let you visualize geographic data in a customizable interactive map.

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Chart templates

Chart cells let you visualize and explore the dataframes in a Hex project, without writing code.

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Input parameter templates

Input parameters are a core, unique part of Hex. Input parameters can be created in the Notebook view and then added, optionally, to an app.

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