Excel: automatic way of producing graphs, does not produce meaning
FAO http://www.fao.org/statistics/en/ 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