10-01 2021-11-01 2.68128e+06 agriculture 09-01 2021-10-01 2.59478e+06 agriculture 08-01 2021-09-01 2.68128e+06 agriculture 07-01 2021-08-01 2.68128e+06 agriculture 06-01 2021-07-01 2.59478e+06 agriculture 05-01 2021-06-01 2.68128e+06 agriculture 04-01 2021-05-01 2.59478e+06 agriculture 03-01 2021-04-01 2.68128e+06 agriculture O rows omitted) we want to analyze emissions data in the United States during the beginning of the COVID-19 pandemic, we want to limit o ents emissions in the year 2020. Filter the usa_monthly table to show only 2020 emissions data and assign it to us

Computer Networking: A Top-Down Approach (7th Edition)
7th Edition
ISBN:9780133594140
Author:James Kurose, Keith Ross
Publisher:James Kurose, Keith Ross
Chapter1: Computer Networks And The Internet
Section: Chapter Questions
Problem R1RQ: What is the difference between a host and an end system? List several different types of end...
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Related questions
Question
Start Date
End Date GHG Emissions
Sector
2021-12-01 2022-01-01
2.59478e+06 agriculture
2021-11-01 2021-12-01
2.59478e+06 agriculture
2021-10-01 2021-11-01
2.68128e+06 agriculture
2021-09-01 2021-10-01
2.59478e+06 agriculture
2021-08-01 2021-09-01
2.68128e+06 agriculture
2021-07-01 2021-08-01
2.68128e+06 agriculture
2021-06-01 2021-07-01
2.59478e+06 agriculture
2021-05-01 2021-06-01
2.68128e+06 agriculture
2021-04-01 2021-05-01
2.59478e+06 agriculture
2021-03-01 2021-04-01
2.68128e+06 agriculture
(830 rows omitted)
...
Since we want to analyze emissions data in the United States during the beginning of the COVID-19 pandemic, we want to limit ourselves to data that
represents emissions in the year 2020. Filter the usa_monthly table to show only 2020 emissions data and assign it to usa2020 .
Hint: Use the table functions where (Python Reference) and use the appropriate predicate.
]: #isolate rows where the year is 2020
usa2020 = usa_monthly.where ('Start Date')
usa2020.show (5)
Transcribed Image Text:Start Date End Date GHG Emissions Sector 2021-12-01 2022-01-01 2.59478e+06 agriculture 2021-11-01 2021-12-01 2.59478e+06 agriculture 2021-10-01 2021-11-01 2.68128e+06 agriculture 2021-09-01 2021-10-01 2.59478e+06 agriculture 2021-08-01 2021-09-01 2.68128e+06 agriculture 2021-07-01 2021-08-01 2.68128e+06 agriculture 2021-06-01 2021-07-01 2.59478e+06 agriculture 2021-05-01 2021-06-01 2.68128e+06 agriculture 2021-04-01 2021-05-01 2.59478e+06 agriculture 2021-03-01 2021-04-01 2.68128e+06 agriculture (830 rows omitted) ... Since we want to analyze emissions data in the United States during the beginning of the COVID-19 pandemic, we want to limit ourselves to data that represents emissions in the year 2020. Filter the usa_monthly table to show only 2020 emissions data and assign it to usa2020 . Hint: Use the table functions where (Python Reference) and use the appropriate predicate. ]: #isolate rows where the year is 2020 usa2020 = usa_monthly.where ('Start Date') usa2020.show (5)
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