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
Data
and 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
CSVData
data reader - CSVData Options
- Options: delimiter and quotechar
- Options: header
- Options: data_format
- Options: selected columns
- Intro to
GraphData
data reader
- Structured Profiler
- Unstructured Profiler
- Graph Profiler
- Labeler
- Adding Models to a Labeler Pipeline
- Creating a Regex Labeler
- Creating a ColumnName Labeler
- Merge Profile List
- Dataloader with Popmon Reports