From ideas to data science with natural text and AI
Perform advanced data science in Python using natural text.
Turn your ideas instantly into execution without having to be a coding expert. Describe what you want to achieve in plain language, and let the AI-powered editor in AP write the Python script for you.
Outlier detection
The script editor lets you specify a natural text description of the outcome you want to achieve in plain text. As an example, you can ask the platform to perform outlier detection using the modified Z-score statistical algorithm.
Once the script is generated it can be inserted into the query area and executed. The script output will appear in the console area. In this example, the most significant data outliers are identified, allowing you to improve data quality by correcting the outliers which impact data the most.
Light-weight data connector
The conversational script editor is ideal for creating light-weight data API connectors. Simply specify which data API you would like to retrieve data from and how you want to transform the data in natural text.
The script output can be stored in a data warehouse table, allowing for combining the data with other tables, integrating it in workflows and visualizing it in data exploration tools.
Forecasting
The script editor provides access to all popular Python libraries for data science and forecasting. This means you can perform advanced data forecasting by specifying the outcome in plain language.
For example, you can dynamically retrieve population data from the World Bank data portal and ask for a prediction of the population size by country for the next 10 years using linear regression.
