Tutorials and Recipes¶
For beginners getting into using Qualipy, I’d recommend following these tutorials in order
Tutorial 1¶
Explore a dataset by collecting aggregates over chunks of a dataset: Example_1.
Concepts:
Creating a Pandas function
Defining core components in Qualipy
Simulate a time series by chunking the input data
Tutorial 2¶
Explore a single batch of data using Qualipy: Example_2.
Concepts:
Creating a Pandas function
Defining core components in Qualipy
Profiling a dataset by automatically collecting useful information about a single batch of data
Tutorial 3¶
Similar to example 1, but this is a more involved example and includes flat data as a source: Example_3.
Concepts:
Creating a Pandas function
Using reference names for columns to refer to them at different times
Working with numerical and categorical data
Simulate a time series by chunking the input data
Tutorial 4¶
Like example 3, but creates a new more complex function: Example_4.
Concepts:
Creating a Pandas function
Creating another Pandas function with an additional argument
Specifying the argument in the column definition
Using reference names for columns to refer to them at different times
Working with numerical and categorical data
Simulate a time series by chunking the input data
Recipe 1¶
Use this to analyze a pandas dataframe. All you need to fill in is the numeric, categorical, and datetime columns, and the rest should work like magic!