explains how she worked for her presentation of yesterday
oops, it is Excel ;-)

European Union Open Data Portal
she uses tsv

Excel: automatic way of producing graphs, does not produce meaning

pivot table lists different field names
you can choose what you want in your table
you can change shape of your table easily by drag & drop
-> what do you prefer to follow? depends on your question & knowledge of dataset: year/yield?

yield = production / area harvested
seed = how many potatos have been planted

Fao.org/statistics/databases/en     Food and agriculture organization  of the united nations  
FAO STAT, there you can download a many relevant data concerning agriculture:  faostat3.fao.org/download/T/P/E    
ec.europa.eu/eurostat/data/database   European commission database

AL is 'reading into' the data - 'you have to know your data!'
-> read metadata in order to understand what the names in the fields represent
-> talk to people from business in order to understand 'causes' behind data
Excel: only chronological data / allows for smaller volume (than R, she prepares data in mysql)
R: scatterplot, probabilities (f.ex. box of balls, red & black, you take out ten, count colour to 'estimate' the probable content of the entire box)
'estimate where the reality can be' --> so it's fiction
look at axes, who is speaking, where are the data coming from