Parsing

Data Manipulation in Alteryx

Behrang Behjoo

Business Intelligence (BI) Leader

What is parsing?

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Breaking down data into manageable parts.
Role in interpreting and transforming data.
Essential for data analysis and processing.

extract day from date

Purpose of parsing

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Converting data between formats.
Structuring unstructured data.
Enhancing data usability.

two people questioning and having an idea

Types of parsing

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String parsing
Date/Time parsing
Other parsing types (e.g., HTML, JSON)

different types sketch

String parsing

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Extracting information from text.
Common techniques include splitting by delimiters.
Applications in data processing.

string parsing example

Mechanics of string parsing

string parse table before

Mechanics of string parsing

string parse example after

Date/time parsing

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Converting date/time strings to usable formats.
Handling different formats and timezones.
Importance in time-series analysis.

date time sketch

Mechanics of date/time parsing

date parse example before

Mechanics of date/time parsing

date parse example after

Advanced parsing techniques

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Using RegEx for pattern matching
Parsing JSON and XML data
Integrating parsing into complex workflows

advanced coding parsing examples sketch

Let's practice!

Data Manipulation in Alteryx

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