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The second workshop required us to divide ourselves into groups and analyze tabular data presented to us. The data determined the proposition of the population in different countries living on less than 50% of median income between 1990 and 2000. The countries were; Sweden, Norway, Finland, Netherlands, Denmark, Germany, Luxembourg, France, Spain, Japan, Italy, Canada, Belgium, Australia, United Kingdom, Ireland, and United States.
The table was constructed showing: Human poverty index ranking, Probability at birth of not surviving to age 60 (% of cohort) 2000-05, People lacking functional literacy skills (% age 16-65) 1994-98 and Long-term unemployment (as % of labour force) 2001, against the given countries.
The table’s author combined these discrete data figures to obtain the precise proposition of the studied subject. Such a method of displaying tabular data allowed for direct and correct filling in of the obtained data figures. This method of tabular data presentation was effective since it easily showed the entire figures collected on the required study topics against the specific countries.
The second part of the workshop required us to explain and interpret the tabular data. One member of the group described the tabular data and we attempted to interpret and draw the table. We then looked at the actual table and compared it to the one that we had drawn from the description. In the third workshop we studied, the conventions of graphical representation. It included; designing, formatting, and choosing an appropriate graph type. This workshop had for tables of tabulated data.
The first table was for household disposable income per head in 2003, with the index, UK=100. The data was as: Inner London - West 177.6, Leicester 78.8, Surrey 139.3 Kingston upon Hull City of 78.3, Buckinghamshire 133.1, Nottingham 77.4, Hertfordshire 128.0, Stoke-on-Trent 76.9, Outer London - West and North West 120.9, West and South West of Northern
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