APPARATUSES AND METHODS FOR CARBON EMISSIONS TRACKING AND OFFSET MANAGEMENT FOR ELECTRONIC NICOTINE DELIVERY SYSTEMS (ENDS) PRODUCTS
An apparatus and method for calculating comparison coefficients for dissimilar datasets is disclosed. The method includes receiving, using at least a processor, a plurality of successor carbon data relating to one or more successor components of a successor device. The method further includes receiving, using the at least a processor, a plurality of initial carbon data relating to one or more initial components of an initial device. The method includes generating, using the at least a processor, a comparison coefficient as a function of the successor device and the initial device, wherein the comparison coefficient compensates for a usage capacity of the initial device compared to the successor device. The method includes displaying, using the at least a processor and a graphical user interface, a carbon report as a function of the plurality of successor carbon data, the plurality of initial carbon data, and the comparison coefficient.
1 . An apparatus for calculating comparison coefficients for dissimilar datasets, comprising:
at least a processor; and
a memory communicatively connected to the at least a processor, the memory containing instructions configuring the at least a processor to:
receive a plurality of successor carbon data relating to one or more successor components of a successor device;
receive a plurality of initial carbon data relating to one or more initial components of an initial device;
generate a comparison coefficient as a function of the successor device and the initial device, wherein the comparison coefficient compensates for a usage capacity of the initial device compared to the successor device; and
display, using a graphical user interface, a carbon report as a function of the plurality of successor carbon data, the plurality of initial carbon data, and the comparison coefficient.
2 . The apparatus of claim 1 , wherein the memory contains instructions further configuring the at least a processor to process the plurality of successor carbon data, wherein processing the plurality of successor carbon data comprises determining a plurality of successor carbon coefficients, wherein each of the plurality of successor carbon coefficients correlates to a successor component of the one of more components of the successor device.
3 . The apparatus of claim 2 , wherein the memory contains instructions further configuring the at least a processor to process the plurality of initial carbon data, wherein processing the plurality of initial carbon data comprises determining a plurality of initial carbon coefficients, wherein each of the plurality of initial carbon coefficients correlates an initial component of the one of more components of the initial device.
4 . The apparatus of claim 3 , wherein the memory contains instructions further configuring the at least a processor to calculate a metric comparison, wherein calculating the metric comparison comprises:
forming a summed initial carbon coefficient comprising summing the plurality of initial carbon coefficients;
multiplying the summed initial carbon coefficient by the comparison coefficient to form an initial device metric; and
forming a successor device metric comprising summing the plurality of successor carbon coefficients.
5 . The apparatus of claim 4 , wherein displaying the carbon report comprises displaying the metric comparison, wherein the metric comparison comprises a comparison between the initial device metric and the summed successor carbon coefficient.
6 . The apparatus of claim 4 , wherein forming the successor device metric further comprises:
calculating a reclamation metric by multiplying successor reclamation data by a reclamation threshold, wherein the reclamation threshold is a function of location data; and
forming the successor device metric by subtracting the reclamation metric from the summed plurality of successor carbon coefficient.
7 . The apparatus of claim 1 , wherein:
receiving the plurality of successor carbon data relating to the one or more successor components of the successor device comprises receiving the plurality of successor carbon data using a web crawler; and
receiving the plurality of initial carbon data relating to the one or more initial components of the initial device comprises receiving the plurality of initial carbon data using a web crawler.
8 . The apparatus of claim 1 , wherein:
the plurality of successor carbon data comprises successor reclamation data; and
the plurality of initial carbon data comprises initial reclamation data.
9 . The apparatus of claim 8 , wherein the successor reclamation data comprises plastic reclamation data and electrolyte reclamation data.
10 . The apparatus of claim 1 , wherein generating the comparison coefficient as a function of the successor device and the initial device comprises:
generating comparison training data, wherein the comparison training data comprises successor device data and initial device data correlated to exemplary comparison coefficients;
training a comparison machine-learning model using the comparison training data; and
generating, using the comparison machine-learning model, the comparison coefficient.
11 . A method for calculating comparison coefficients for dissimilar datasets, comprising:
receiving, using at least a processor, a plurality of successor carbon data relating to one or more successor components of a successor device;
receiving, using the at least a processor, a plurality of initial carbon data relating to one or more initial components of an initial device;
generating, using the at least a processor, a comparison coefficient as a function of the successor device and the initial device, wherein the comparison coefficient compensates for a usage capacity of the initial device compared to the successor device; and
displaying, using the at least a processor and a graphical user interface, a carbon report as a function of the plurality of successor carbon data, the plurality of initial carbon data, and the comparison coefficient.
12 . The method of claim 11 , further comprising processing, using the at least a processor, the plurality of successor carbon data, wherein processing the plurality of successor carbon data comprises determining a plurality of successor carbon coefficients, wherein each of the plurality of successor carbon coefficients correlates to a successor component of the one of more components of the successor device.
13 . The method of claim 12 , further comprising processing, using the at least a processor the plurality of initial carbon data, wherein processing the plurality of initial carbon data comprises determining a plurality of initial carbon coefficients, wherein each of the plurality of initial carbon coefficients correlates an initial component of the one of more components of the initial device.
14 . The method of claim 13 , further comprising calculating a metric comparison, using the at least a processor, wherein calculating the metric comparison comprises:
forming a summed initial carbon coefficient comprising summing the plurality of initial carbon coefficients;
multiplying the summed initial carbon coefficient by the comparison coefficient to form an initial device metric; and
forming a successor device metric comprising summing the plurality of successor carbon coefficients.
15 . The method of claim 14 , wherein displaying the carbon report comprises displaying the metric comparison, wherein the metric comparison comprises a comparison between the initial device metric and the summed successor carbon coefficient.
16 . The method of claim 14 , wherein forming the successor device metric further comprises:
calculating a reclamation metric by multiplying successor reclamation data by a reclamation threshold, wherein the reclamation threshold is a function of location data; and
forming the successor device metric by subtracting the reclamation metric from the summed plurality of successor carbon coefficient.
17 . The method of claim 11 , wherein:
receiving the plurality of successor carbon data relating to the one or more successor components of the successor device comprises receiving the plurality of successor carbon data using a web crawler; and
receiving the plurality of initial carbon data relating to the one or more initial components of the initial device comprises receiving the plurality of initial carbon data using a web crawler.
18 . The method of claim 11 , wherein:
the plurality of successor carbon data comprises successor reclamation data; and
the plurality of initial carbon data comprises initial reclamation data.
19 . The method of claim 18 , wherein the successor reclamation data comprises plastic reclamation data and electrolyte reclamation data
20 . The method of claim 11 , wherein generating the comparison coefficient as a function of the successor device and the initial device comprises:
generating comparison training data, wherein the comparison training data comprises successor device data and initial device data correlated to exemplary comparison coefficients;
training a comparison machine-learning model using the comparison training data; and
generating, using the comparison machine-learning model, the comparison coefficient.