the data collected during the haiti earthquake crisis and aftermathand 'll show you how prepared the data for analysis and visualization using pandas and other tools we have looked at thus far after downloading the csv file from the above linkwe can load it into dataframe using read_csvin [ ]data pd read_csv('ch /haiti csv'in [ ]data out[ ]int index entries to data columnsserial non-null values incident title non-null values incident date non-null values location non-null values description non-null values category non-null values latitude non-null values longitude non-null values approved non-null values verified non-null values dtypesfloat ( )int ( )object( it' easy now to tinker with this data set to see what kinds of things we might want to do with it each row represents report sent from someone' mobile phone indicating an emergency or some other problem each has an associated timestamp and location as latitude and longitudein [ ]data[['incident date''latitude''longitude']][: out[ ]incident date latitude longitude plotting and visualization www it-ebooks info