Methane Emissions Investigation via SQL | Data Science case Study | Riddhi Chatterjee | IvyProSchool

[@edge6192]

How did u clean the data? What steps u did? How did u replaced N/a values and with what??

[@tinaa_tales]

I cleaned the data using Power Query of Excel and Replaced the non-numeric values (n/a) with zero

[@edge6192]

@@tinaa_tales okay..cool. U can use the data to link it with GDP of the countries and find out if there is a trend or if there is a correlation . I think it makes up for an important part.

[@Lily-up5nh]

@@tinaa_tales can you share the link to the dataset

[@ankss4972]

Hi Riddhi, where did you get the data from?

[@Sksahu_123]

Why you used sql

[@dibyajyotirout5711]

How did you clean the data? Did you replace it with zero?

[@tinaa_tales]

I cleaned the data using Power Query and replaced the non-numeric values (n/a) with zero

[@riteshjha7752]

Ken Adams