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on February 14, 2023

Standardize Address tool

Geographic Information Systems

What is address standardization? Address standardization (or address normalization) is the process of checking the format of addresses against an authoritative database – such as USPS in the US – and converting address information into acceptable, standardized format.

Contents:

  • How do you standardize an address?
  • What does standardize your address mean?
  • How does address standardization work?
  • What is the best address validation API?
  • How do I clean my address?
  • How do you normalize an address table?
  • What is the purpose of standardize?
  • What is address standardization vs validation?
  • Why should I standardize my data?
  • What is standardized postal address format?
  • How do you standardize?
  • How do you standardize area?

How do you standardize an address?

To standardize without a database:

  1. Get the address that you wish to standardize.
  2. Identify any spelling and formatting errors.
  3. Correct address spelling and formats according to the USPS standard.
  4. Correct capitalization and letter casing (USPS will accept Proper Case and UPPERCASE formats).

What does standardize your address mean?

When an “address is standardized,” it means that the relevant details (i.e. street number, apartment number, street name, city, state, and postal code) are in the correct formats.

How does address standardization work?

Address standardization (or address normalization) is the process of checking and correcting address records to a standard format, according to an authoritative database (USPS in the United States). It involves checking for spelling, formatting, and abbreviation errors, and corrects addresses to a normalized format.

What is the best address validation API?

Top 10 Address Verification Software

  • Melissa Clean Suite.
  • Melissa Data Quality Suite.
  • PostGrid Address Verification.
  • WinPure Clean & Match.
  • Informatica Data Quality and Governance Cloud.
  • Loqate – Address Capture & Verification.
  • Address Validator.
  • Fetchify.

How do I clean my address?

Address Cleansing is the collective process of standardizing, correcting, and then validating a postal address. Before an address can be validated, it must first be structured in the official postal format for the appropriate country, and any missing or incorrect information must be added or fixed.

How do you normalize an address table?

To normalise the schema you have; add a table Address-ZipCode table, with foreign keys Address ID and Zip Code; and primary key Address Id – identical to that in the Address table. Then include the Zip codes by using a Left Join between address and the new table.
 

What is the purpose of standardize?

The goal of standardization is to enforce a level of consistency or uniformity to certain practices or operations within the selected environment.

What is address standardization vs validation?

The terms address standardization, validation, and verification are often used together due to the similar nature of their purpose. Address standardization is used to transforms addresses in the correct format, whereas address validation confirms that the address is a physical, mailable location within the country.

Why should I standardize my data?

Standardization is useful when your data has varying scales and the algorithm you are using does make assumptions about your data having a Gaussian distribution, such as linear regression, logistic regression, and linear discriminant analysis.
 

What is standardized postal address format?

A standardized address contains the correct city name, state and ZIP code. All suffixes, directionals, and abbreviations are correct. All lines of the address are aligned with the left margin and use uppercase letters.
 

How do you standardize?

Typically, to standardize variables, you calculate the mean and standard deviation for a variable. Then, for each observed value of the variable, you subtract the mean and divide by the standard deviation.



How do you standardize area?

The two most common ways to standardize our data are to divide the data by (1) the area of the enumeration units—creating “x per square mile/km” data—or (2) by the number of people within those places—creating “x per capita” or “x as a % of the total population” data.

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