Text and Markdown cells let you add narrative, explanations, and context to your data project.
Izzy Miller
See how to use data science to enhance inventory decisions with this comprehensive project focused on analyzing, predicting, and optimizing inventory levels. Using historical sales data and trends, we build a robust predictive model with Python and SQL that factors in seasonality, trends, and demand fluctuations. Hex's seamless integration of SQL, Python, and intuitive visualization tools makes it easy to explore inventory data, build predictive stock-level models, and communicate findings in an easy-to-understand, interactive report. This model ensures you maintain the optimum level of stock during peak periods, thus minimizing costs and preventing out-of-stock scenarios.
Building a natural language processing app that uses Hex, HuggingFace, and a simple TF-IDF model to do sentiment analysis, emotion detection, and question detection on natural language text.
Discover how Hex data scientists and analysts use Hex for everything from dashboards to deep dives.
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.
Hex’s first-class Python support unlocks a world of opportunity for data exploration.
Query your warehouse, uploaded files, or dataframes directly with SQL.
Map cells let you visualize geographic data in a customizable interactive map.
Chart cells let you visualize and explore the dataframes in a Hex project, without writing code.
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.