ONS Local has been established by the Office for National Statistics (ONS) to promote evidence-based decision-making at the local level. We aim to host insightful workshops which will provide practical, technical support to help users make the most of ONS data. The Cross-Government Data Science Community brings together data scientists and analysts to build data science capability across the UK governments and public sector. We are delighted to welcome you to our inaugural Workshop in our new series, entitled: 'How to use APIs'. The session will cover what Application Programming Interfaces (APIs) are, the advantages in using them and a practical demonstration of how they can be used. The journey of two Local Authority analysts as they begin using APIs in place of manual processes will be showcased to the audience. The session will conclude by explaining the plan for the forthcoming series of Workshops that will begin in September and introducing the Slack channel that ONS Local and Cross-Government DS community will be using to support users' technical questions going forward. This event is open to all; however, we anticipate it will be of most interest to anyone working at a local level on creating data dashboards for internal or external use. If you have any questions, please contact ons.local@ons.gov.uk.

1. APIs and Tableau
Maryna Ramcharan from City-REDI, University of Birmingham
• Dashboards. What they do, what data they use
• Analytical dashboards. Why dashboards.
• Homelessness
• Children in Trouble
• Presenting data dashboards. What dashboards.
• Birmingham Economic Review – 2022 Databook. Thematic data collection to support BER - 2022
• MIT REAP Databook. Set of infographics to support MIT REAP project
• Dashboards to support various projects
• Sankey diagrams
• Box and Whisker plot
• How I do it at present.
• Scope the analysis, define the audience, determine methodology
• Determine the set of required data and data sources
• ONS / Nomis– APS, Census, GVA, ASHE,
• BEIS, DWP – Stat-Xplore, HMRC, DfE, UK Data Archive, UKRLP
• Download data & explore the data. Repeat #1, 2 and 3 if needed
• Cleanse, transform and enrich data. Data linkages.
• Design the dashboard. Set up calculations & parameters
• Working with ONS over the Summer to facilitate downloading data via APIs
• Tableau Server vs Tableau Desktop