Solutions
Integrations
Enhance your analytics solutions with our datasets.
Datasets
Download CSV, ORC, and Parquet data files.
Analytics
Connect your BI tools to our analytical query service.
Insights
Interactive reports with actionable insights.
Use Cases
Learn how you could unlock value from our datasets.
PricingAboutContact
Resources
Help Centre
Find answers to the most frequently asked questions.
Documentation
Learn everything you need to know about Open Data Blend.
Updates & Blogs
Keep up to date with our latest news, updates, and thoughts.
Get Involved
Help to improve the Open Data Blend services for everyone.
Affiliates
Supplement your business with a new recurring revenue stream.
Manage Subscription
Solutions
Integrations
Enhance your analytics solutions with our datasets.
Datasets
Download CSV, ORC, and Parquet data files.
Analytics
Connect your BI tools to our analytical query service.
Insights
Interactive reports with actionable insights.
Use Cases
Learn how you could unlock value from our datasets.
PricingAboutContact
Resources
Help Center
Find answers to the most frequently asked questions.
Documentation
Learn everything you need to know about Open Data Blend.
Updates & Blogs
Keep up to date with our latest news, updates, and thoughts.
Get Involved
Help to improve the Open Data Blend services for everyone.
Affiliates
Supplement your business with a new recurring revenue stream.
Manage Subscription

Open Data Blend July 2021 Update

Recent articles
Open Data Blend May 2025 Update
10th June 2025
Open Data Blend April 2025 Update
9th May 2025
Open Data Blend March 2025 Update
11th April 2025
Open Data Blend February 2025 Update
10th March 2025
Open Data Blend January 2025 Update
7th February 2025

16th July 2021

By Open Data Blend Team

English Prescribing Data for May 2021 Now Available

We've updated the Prescribing dataset with the latest NHS English Prescribing Data updates for May 2021. You can download the data from the Open Data Blend Datasets Prescribing page, or analyse it directly in supported BI tools through the Open Data Blend Analytics service.

More Free Monthly Downloads

The previous limit of five free data file downloads per month has been increased to eight. This small increase allows our free users to get that little bit more from our open data service. As part of this change, a banner has been placed at the top of each dataset page to make the download limit clear. Happy downloading!

Download Limit Notice

Discoverability Improvements

A set of popular data files have been added as stand-alone datasets to make them more discoverable:

  • Prescribing Chemical

  • Prescribing Practice

  • Primary Care Organisation

  • Mileage

The data files were previously available as part of larger collections of data files in our existing datasets (i.e. the Prescribing and Anonymised MOT datasets). Making these also available as standalone datasets means that they can more easily be found and used for data enrichment scenarios.

Discoverability Improvements

Open Data Blend for Python

The primary users of the Open Data Blend Datasets service are data engineers and data scientists. As part of our aim to make large and complex open data easier to use, we have developed a lightweight, easy-to-use extract and load (EL) tool that streamlines the task of getting data from the Open Data Blend Dataset API.

Install the PyPI package:

pip install opendatablend

Cache data files locally with just a few lines of code:
import opendatablend as odb
import pandas as pd

dataset_path = 'https://packages.opendatablend.io/v1/open-data-blend-road-safety/datapackage.json'

# Specify the resource name of the data file. In this example, the 'date' data file will be requested in .parquet format.
resource_name = 'date-parquet'

# Get the data and store the output object
output = odb.get_data(dataset_path, resource_name)

Load and analyse the cached data files in tools like Pandas:
# Read a subset of the columns into a dataframe
df_date = pd.read_parquet(output.data_file_name, columns=['drv_date_key', 'drv_date', 'drv_month_name', 'drv_month_number', 'drv_quarter_name', 'drv_quarter_number', 'drv_year'])

# Check the contents of the dataframe
df_date

Note: As the files are cached locally, you can use any tools to load and work with the data, not just Python.


Head over to the official GitHub repository to learn more, and don't forget to star it if you find it useful.

Follow Us and Stay Up to Date

Follow us on X and LinkedIn to keep up to date with Open Data Blend, open data, and open-source data analytics technology news. Be among the first to know when there's something new.

Blog hero image by Florian Steciuk on Unsplash.

Got feedback?
Get involved.
Created and maintained by

Copyright © 2019-2025 Nimble Learn Ltd. All rights reserved unless otherwise stated. Company Registration Number 08637310. VAT Number 174 9728 60.

Open Data Blend®, the Open Data Blend® logo, Nimble Learn®, and the nimblelearn® logo are registered trademarks of Nimble Learn Ltd. All other product names, logos, and brands are the property of their respective owners, and their use does not imply endorsement.

Terms    Privacy    Cookies    SLA    Licensing    Docs    Status