Skip to content
Change the repository type filter

All

    Repositories list

    • Providing social workers in Children's Social Care with more complete information on people relevant to the social work assessment to improve outcomes for children.
      Python
      Other
      33018Updated Feb 16, 2023Feb 16, 2023
    • Family Context is a tool that allows social workers to easily access ​ service involvement information on relevant individuals ​ in order to then facilitate conversations with lead practitioners. ​ We want to ensure that social workers always have the information they need so that:​ - More young people are well looked after by their families and…
      Python
      MIT License
      33623Updated Jan 5, 2023Jan 5, 2023
    • In this Alpha, we developed a prototype that could help local councils identify and resolve errors in their children in care data throughout the year. We focused on a common statutory process (SSDA903) and built a prototype that users can access by simply loading a URL in a web browser.
      JavaScript
      00021Updated Jan 5, 2023Jan 5, 2023
    • Conducting varied pieces of analysis off of Annex A data required us to repeatedly clean the data of typos, inconsistencies, incorrect column labels, and many more fun things. We realised that there was value in writing a "cleaner" that would standardize the data so that we could get on with the analysis without re-cleaning each time.
      Python
      MIT License
      1200Updated Mar 9, 2022Mar 9, 2022
    • This code provides cleaning for 1) Annex A, aligning it to the Ofsted guidance (column headings, column values) and for 2) CIN Census (lighter cleaning taking out empty values and checking value categories). Finally the code offers a "LOG" option that aggregates Annex A and/or CIN Census data into a master table easy to use for analysis.
      Python
      MIT License
      3711Updated Mar 25, 2021Mar 25, 2021
    • This code is for data analysts from a Local Authority or from another body wishing to analyse CIN Census and Postcode data. We hope the analysis provided will help them to understand more about what the needs identified at assessment look like in their area, and to see where there are geographic hotspots or pockets of need.
      Jupyter Notebook
      MIT License
      0200Updated Mar 27, 2020Mar 27, 2020
    • Extracts children journeys from Annex A: each child unique ID is associated to a string representing all the events that happened to them.
      Python
      MIT License
      0300Updated Mar 13, 2020Mar 13, 2020
    • This code is for data analysts from a Local Authority or from another body wishing to analyse Annex A data. We are happy to share this code hoping that others may benefit from a quick way to analyse their Annex A returns and get new insights about their Front Door and MASH.
      Jupyter Notebook
      MIT License
      0100Updated Mar 5, 2020Mar 5, 2020
    • Providing social workers in Children's Social Care with more complete information on people relevant to the social work assessment to improve outcomes for children.
      MIT License
      1400Updated Aug 14, 2019Aug 14, 2019
    • Understanding the pain points in the Looked After Children (LAC) dataset statutory return process
      MIT License
      0100Updated Aug 7, 2019Aug 7, 2019
    • Details and findings from our discovery use cases in Leeds, Stockport, Wigan and CWAC
      MIT License
      4000Updated Aug 7, 2019Aug 7, 2019
    • MIT License
      1000Updated Aug 1, 2019Aug 1, 2019