Computers and Technology, 14.10.2020 14:01 jeanma0
As a first step, start with who_raw and create a new data frame, who2, with the following properties: All the 'new...' columns of who_raw become values of a single variable, case_type. Store the counts associated with each case_type value as a new variable called 'count'. Remove the iso2 and iso3 columns, since they are redundant with country (which you should keep!). Keep the year column as a variable. Remove all not-a-number (NaN) counts. Hint: You can test for a NaN using Python's math. isnan(). Convert the counts to integers. (Because of the presence of NaNs, the counts will be otherwise be treated as floating-point values, which is undesirable since you do not expect to see non-integer counts.)
Answers: 1
Computers and Technology, 21.06.2019 17:00
Which process would best represent the opposite of exhausting air from a system?
Answers: 2
Computers and Technology, 22.06.2019 05:30
Agood flowchart alludes to both the inputs and outputs you will need to receive and give to the user. true or false?
Answers: 3
Computers and Technology, 22.06.2019 19:10
How might the success of your campaign be affected if you haven’t carefully completed all field data or if you accidentally insert the wrong merge field in the document?
Answers: 1
Computers and Technology, 22.06.2019 19:30
When using a public computer or network, you should always
Answers: 2
As a first step, start with who_raw and create a new data frame, who2, with the following properties...
Mathematics, 07.10.2020 05:01
Mathematics, 07.10.2020 05:01
Health, 07.10.2020 05:01
Mathematics, 07.10.2020 05:01
Mathematics, 07.10.2020 05:01
Mathematics, 07.10.2020 05:01
Computers and Technology, 07.10.2020 05:01
Mathematics, 07.10.2020 05:01
English, 07.10.2020 05:01
Mathematics, 07.10.2020 05:01
English, 07.10.2020 05:01
History, 07.10.2020 05:01
Mathematics, 07.10.2020 05:01
Mathematics, 07.10.2020 05:01
History, 07.10.2020 05:01