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Engineering
Data Structures and Algorithms
use https://www.eia.gov/dnav/pet/hist/LeafHandler.ashx?n=PET&s=MCRFPUS2&f=M to prepare data for time-series analysis Data needs to be melted All missing data must be removed Year should be converted to ‘string’ data type such that the Year is 4-digit string ‘Month’ and ‘Year’ should be combined and converted to Pandas datetime data type and promoted as index Unnecessary columns should be removed

use https://www.eia.gov/dnav/pet/hist/LeafHandler.ashx?n=PET&s=MCRFPUS2&f=M to prepare data for time-series analysis Data needs to be melted All missing data must be removed Year should be converted to ‘string’ data type such that the Year is 4-digit string ‘Month’ and ‘Year’ should be combined and converted to Pandas datetime data type and promoted as index Unnecessary columns should be removed

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use https://www.eia.gov/dnav/pet/hist/LeafHandler.ashx?n=PET&s=MCRFPUS2&f=M to prepare data for time-series analysis

Data needs to be melted

All missing data must be removed

Year should be converted to ‘string’ data type such that the Year is 4-digit string

‘Month’ and ‘Year’ should be combined and converted to Pandas datetime data type and promoted as index

Unnecessary columns should be removed

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