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SHA-256

As explained in Effective Data Analysis

SHA-256 is a member of the Secure Hash Algorithm 2 family that produces a 256-bit cryptographic hash.

SHA-256 is a Secure Hash Algorithm 2 function that converts an input, such as an email address, into a fixed 256-bit hash. Identical inputs produce identical hashes, while small input changes produce very different outputs. section 8.3.2

Use SHA-256 to:

  • Replace sensitive identifiers with consistent hash values that can serve as analytics keys. section 8.3.2
  • Keep original personally identifiable information in a separate, access-restricted table while analytics tables retain only hashes. section 8.3.2
  • Link a new data source by hashing its shared identifier and joining on the resulting value. section 8.3.2

Hashing email addresses in pandas

Use Python’s standard hashlib library: define a function that encodes an email, applies hashlib.sha256, returns hexdigest(), and apply it to create an email_hash column.

How Effective Data Analysis covers it

How deep it goes
Explains deterministic and change-sensitive hashing, demonstrates implementation, and cautions that reversal may become possible; it does not develop cryptographic internals.
Examples
Demonstrates hashing email addresses, separating email mappings, and retaining email_hash in a transactions table.
What it assumes
Assumes basic dataframe manipulation and awareness that sensitive data requires controlled access.
What you can do after
Apply it via Python’s hashlib library to create repeatable identifiers and join data while separating original PII.
How it connects
Connects hashing with anonymization, pseudonymization, personally identifiable information, data warehouses, and primary keys.
Cover of Effective Data Analysis
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