Skip to content

bigfunctions > remove_accents

remove_accents

Call or Deploy remove_accents ?

✅ You can call this remove_accents bigfunction directly from your Google Cloud Project (no install required).

  • This remove_accents function is deployed in bigfunctions GCP project in 39 datasets for all of the 39 BigQuery regions. You need to use the dataset in the same region as your datasets (otherwise you may have a function not found error).
  • Function is public, so it can be called by anyone. Just copy / paste examples below in your BigQuery console. It just works!
  • You may prefer to deploy the BigFunction in your own project if you want to build and manage your own catalog of functions. This is particularly useful if you want to create private functions (for example calling your internal APIs). Discover the framework

Public BigFunctions Datasets:

Region Dataset
eu bigfunctions.eu
us bigfunctions.us
europe-west1 bigfunctions.europe_west1
asia-east1 bigfunctions.asia_east1
... ...

Description

Signature

remove_accents(str)

Description

Remove accents

Examples

select bigfunctions.eu.remove_accents('Voilà !')

select bigfunctions.us.remove_accents('Voilà !')

select bigfunctions.europe_west1.remove_accents('Voilà !')

+----------------+
| cleaned_string |
+----------------+
| Voila !        |
+----------------+
Need help using remove_accents?

The community can help! Engage the conversation on Slack

For professional suppport, don't hesitate to chat with us.

Found a bug using remove_accents?

If the function does not work as expected, please

  • report a bug so that it can be improved.
  • or open the discussion with the community on Slack.

For professional suppport, don't hesitate to chat with us.

Use cases

A use case for the remove_accents function is to standardize text data for searching, indexing, or comparison. For example, if you have a database of customer names with accents and you want to make it easier to search for names regardless of whether the user includes accents in their query, you can use this function.

Scenario:

You have a table of customer names in BigQuery, some of which contain accents:

| customer_name | |---|---| | José Pérez | | François Dupont | | Anna Müller |

You want to be able to search for "Jose Perez" and still find "José Pérez".

Query:

SELECT *
FROM your_table
WHERE bigfunctions.your_region.remove_accents(customer_name) = bigfunctions.your_region.remove_accents('Jose Perez');

(Remember to replace your_region with the appropriate BigQuery region for your data, e.g., us, eu, us-central1, etc.)

This query will remove accents from both the stored customer names and the search query, allowing you to find matches even if the accents are not typed precisely.

Other Use Cases:

  • Data Cleaning: Removing accents can be a part of a broader data cleaning process to standardize text and remove inconsistencies.
  • Natural Language Processing (NLP): Accents can sometimes interfere with NLP tasks like text classification or sentiment analysis. Removing them can improve the accuracy of these models.
  • Generating slugs or URL-friendly strings: Accents can be problematic in URLs. Removing them can create cleaner and more readable slugs.
  • Matching data from different sources: If you're combining data from multiple sources that might have different conventions for accents, removing them can help standardize the data and improve matching accuracy.

Spread the word

BigFunctions is fully open-source. Help make it a success by spreading the word!

Share on Add a on