Examples¶
These examples provide a more in-depth look into the details of the Data Profiler library.
Basics¶
- Overview of Data Profiler
- Data Reader
- Automatically reading and detecting data
- Specifying detection options of
Dataand loadingpandas.DataFrame - Accessing data and attributes
- Checking data file types with
is_match - Reloading data after altering options with
reload - A deeper dive into
CSVData - Intro to the
CSVDatadata reader - CSVData Options
- Options: delimiter and quotechar
- Options: header
- Options: data_format
- Options: selected columns
- Structured Profilers
- Profiler Type
- Differences in Data
- Unstructured Profiler
- Labeler
- Adding Models to a Labeler Pipeline
- Creating a Regex Labeler
- Merge Profile List