Data handling

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Census At School contains surveys to complete to generate your own data (in csv format which most databases can read). You can compare your data with data from children around the world.

Survey Monkey allows you to create questionnaires and distribute them online.

Data files

  • Here is data from the Swindon 1901 census, covering two contrasting streets: Little London and The Sands. Children can compare the streets by looking at people's ages and occupations, family size, etc. 1901
  • This is a datafile of the average rainfall, temperature and hours of daylight in each month since January 2002. Weather
  • World Weather and Mountains contain data about the world's longest rivers/ highest mountains, comparing them to the UK.
  • The Rivers datafile has data on most of the major world rivers.
  • The Planets datafile contains data about the major planets and moons of the solar system.
  • Animals is a datafile giving facts about world animals, including diet, habitat, size and life span.
  • Rocks and Materials are designed to help with Science.
  • Britain Since 1930 is from the government's Learning and Teaching using ICT website and lists household possessions in different decades.

These datafiles are in CSV format, which means most databases can open them, usually by converting them to their own format. In Microsoft Excel, they should open naturally. To make it easier, below are zipped files containing all the datafiles above in the following formats:

Here is a link to a range of datafiles written by Oxfordshire, including 1881 census data on Oxfordshire workhouses, and the marvellous Criminals project. If you use Criminals, there are prompt sheets to help you.

If you use Junior Viewpoint, their website provides a range of free datafiles to download.

For the Second World War, try Robert Westall's website. You can search their online database of a list of civilians killed in a bombing raid in Newcastle.

Related to data handling is data logging. Here is a document listing ideas for data logging, especially in Numeracy and Science.

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