Monitoring and reducing respondent burden
Guidance on monitoring and reducing respondent burden when carrying out statistical surveys.
Learn more on Monitoring and reducing respondent burdenIf you're searching for a two or three word term you need to put it in quotation marks e.g. "analysis function".
Guidance on monitoring and reducing respondent burden when carrying out statistical surveys.
Learn more on Monitoring and reducing respondent burdenA review of the disability harmonised standard that aims to ensure that disability standards meet user needs and explore any potential improvements.
Learn more on Review of disability data harmonised standardsThis course introduces users to the best practice around mapping for a statistical context. We’ll introduce the most common types of maps used to present statistics and will provide guidance on what to think about when making a statistical map to ensure you make a clean, accurate and informative map.
Learn more on How To Make a Good MapThis course builds upon the skills learned during Introduction to Geographic Information Systems (GIS) in Python.
Learn more on More GIS in PythonJoin the Government Digital and Data team as they discuss the latest developments, share ideas, and answer your questions.
Learn more on Government Digital and Data communications community meetingThis course provides an introduction to working with geospatial data in QGIS for data scientists and those new to GIS and geography.
Learn more on Introduction to QGISThis course provides an introduction to working with geospatial data in R. Learning outcomes By the end of the course you will: Know how to load spatial data into R using the sf library Be familiar with using Government Statistical Service (GSS) codes to join statistics to geographies Understand how spatial objects can be manipulated using tidyverse Understand […]
Learn more on Introduction to GIS in RSee also our Introduction to QGIS and Introduction to GIS in Rshort courses.
Learn more on Introduction to GIS in PythonThis short course provides the theoretical knowledge you need to begin using geography for statistical purposes. We suggest combining this course with either Introduction to QGIS, Introduction to GIS in R or Introduction to GIS in Python. Doing so will provide you with a good theoretical and practical knowledge to begin using geography with statistics in your analysis.
Learn more on Practical Geography for StatisticsThis is an extremely rare opportunity to hear from all three of the chairs of the Fiscal Councils in the UK.
Learn more on Devolution Learning Week: Meet the Fiscal Councils in the UK