Here's the data:
id date age case_id country province region sex travel travelh
1 1516 2020-03-23 40-49 1516 Canada Ontario York Male 1 Costa Rica
4 5658 2020-03-29 60-69 5657 Canada Ontario Algoma Female 1 United States
5 642 2020-03-18 Not Reported 642 Canada Nova Scotia Not Reported Not Reported 1 Not Reported
6 3560 2020-03-26 60-69 3560 Canada Ontario Simcoe Muskoka Male 1 India, United Arab Emirates
7 725 2020-03-18 80-89 725 Canada Ontario Chatham-Kent Female 1 United States
I wrote
df.dropna(inplace=True)
but it did not work for all "Not Reported". Is there any ways to delete "not reported" rows in the dataset?
You can delete rows with
Not Reportedvalues in your dataset using the following code: