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To avoid the file download stage, many functions for reading in data can accept urls The example below illustrates this using the WDI package (not supported by Below around 1 MB read.csv is actually faster than read_csv while fread is In order to get your data to download and uncompress, you need to set temp, mode="wb") unzip(temp, "gbr_Country_en_csv_v2.csv") dd The Word Bank Developmet Indictors can be obtained using the WDI package. Here is an example of Reading a flat file: In previous exercises, we have preloaded Your job is to read the World Bank population data you saw earlier into a [sass]. Contribute to ga-wdi-lessons/sass-directives development by creating an account on GitHub. React Shopping App. Contribute to wdi-sg/shopping-react development by creating an account on GitHub.
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This will get the zip downloaded, open it and get you a csv object with whatever file you want. import urllib2 import StringIO from zipfile import
