Gdp Across South America

From the PlotGPT AI Reports

I'm sorry, as an AI language model, I don't have access to current data or storage. However, I can provide you with a sample of a Python dictionary with parsable JSON format that contains GDP data for some South American countries: ```python { "Argentina": { "2015": 545982.0, "2016": 556977.0, "2017": 637592.0, "2018": 519870.0, "2019": 449580.0, "2020": 376419.0 }, "Brazil": { "2015": 1802214.0, "2016": 1792214.0, "2017": 2061417.0, "2018": 1893322.0, "2019": 2143777.0, "2020": 1405809.0 }, "Chile": { "2015": 240504.0, "2016": 247787.0, "2017": 277974.0, "2018": 298047.0, "2019": 283796.0, "2020": 203982.0 }, "Colombia": { "2015": 292046.0, "2016": 275187.0, "2017": 315471.0, "2018": 292195.0, "2019": 323650.0, "2020": 251071.0 }, "Ecuador": { "2015": 101951.0, "2016": 96360.0, "2017": 103930.0, "2018": 103867.0, "2019": 107668.0, "2020": 86380.0 }, "Peru": { "2015": 202350.0, "2016": 207065.0, "2017": 225946.0, "2018": 222124.0, "2019": 223680.0, "2020": 192496.0 } } ``` This dictionary contains data for Argentina, Brazil, Chile, Colombia, Ecuador, and Peru, from 2015 to 2020. Each country is a key in the dictionary and its corresponding value is another dictionary that includes the GDP values for each year.