Impact of natural disasters on consumer behavior:  case of the 2017 El Nino phenomenon  in Peru
<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are a research archivist expert in dataset metadata. Answer the question truthfully.  <|eot_id|><|start_header_id|>user<|end_header_id|> Here is the Description of a dataset. Description:'El Nino is an extreme weather event featuring  unusual warming of surface waters in the eastern equatorial Pacific Ocean. This phenomenon is characterized by heavy rains and floods that negatively affect the economic activities of the impacted areas. Understanding how this phenomenon influences consumption behavior at different granularity levels is essential for recommending strategies to normalize the situation. With this aim, we performed a multi-scale analysis of data associated with bank transactions involving credit and debit cards. Our findings can be summarized into two main results: Coarse-grained analysis reveals the presence of the El Nino phenomenon and  the recovery time in a given territory, while fine-grained analysis demonstrates a change in individuals' purchasing patterns  and in  merchant relevance as a consequence of' . Please return only a json list of at most 3 Keywords corresponding to the Description:.<|eot_id|><|start_header_id|>assistant<|end_header_id|> {"Answer" : ["complex networks","Consumer behavior","natural disasters"]} <|eot_id|>
 Here is the Description of a dataset. Description:'El Nino is an extreme weather event featuring  unusual warming of surface waters in the eastern equatorial Pacific Ocean. This phenomenon is characterized by heavy rains and floods that negatively affect the economic activities of the impacted areas. Understanding how this phenomenon influences consumption behavior at different granularity levels is essential for recommending strategies to normalize the situation. With this aim, we performed a multi-scale analysis of data associated with bank transactions involving credit and debit cards. Our findings can be summarized into two main results: Coarse-grained analysis reveals the presence of the El Nino phenomenon and  the recovery time in a given territory, while fine-grained analysis demonstrates a change in individuals' purchasing patterns  and in  merchant relevance as a consequence of' . Please return only a json list of at most 3 Keywords corresponding to the Description:.
El Nino is an extreme weather event featuring  unusual warming of surface waters in the eastern equatorial Pacific Ocean. This phenomenon is characterized by heavy rains and floods that negatively affect the economic activities of the impacted areas. Understanding how this phenomenon influences consumption behavior at different granularity levels is essential for recommending strategies to normalize the situation. With this aim, we performed a multi-scale analysis of data associated with bank transactions involving credit and debit cards. Our findings can be summarized into two main results: Coarse-grained analysis reveals the presence of the El Nino phenomenon and  the recovery time in a given territory, while fine-grained analysis demonstrates a change in individuals' purchasing patterns  and in  merchant relevance as a consequence of
complex networks; Consumer behavior; natural disasters