Search Interests related to Online Learning Platforms from Different Countries

Please cite the following paper when using this dataset:

N. Thakur, K. Khanna, S. Cui, N. Azizi, and Z. Liu, “Mining and Analysis of Search Interests related to Online Learning Platforms from Different Countries since the Beginning of COVID-19”, Proceedings of the 25th International Conference on Human-Computer Interaction (HCII 2023), Copenhagen, Denmark, July 23-28, 2023 (Accepted for Publication)

Brief Description of Dataset file - Interest_Dataset.csv:

Attribute Name: Week

Attribute Description: Represents the week value. The weeks are numbered from Week 0 to Week 132. Each week is a continuous 7 days, with the exception of Week 0 which refers to 03-11-20 to 03-14-20, the start of which corresponds to the declaration of COVID as a pandemic by the WHO.

Attribute Name: Platform

Attribute Description: Represents the platform value. Each platform is a prominent online learning platform.

Attribute Name: Geo
Attribute Description: Represents the country value for the given entry in the form of its ISO Alpha-2 abbreviation. All countries in the dataset are OECD countries, and all OECD countries are present in the data.

Attribute Name: Interest

Attribute Description: This score, which ranges from 0 to 100, represents the relative interest score provided by Google Trends for the given platform, week and country combination. A score of 100 means it’s the highest interest level present over the entire 132 week span for the given country and platform.

Brief Description of Dataset file - TopPerformerQueries.csv: 

Attribute Name: Week

Attribute Description: Represents the week value. The weeks are numbered from Week 0 to Week 132. Each week is a continuous 7 days, with the exception of Week 0 which refers to 03-11-20 to 03-14-20, the start of which corresponds to the declaration of COVID as a pandemic by the WHO.

Attribute Name: Platform

Attribute Description: Represents the platform value. Each platform is a prominent online learning platform.

Attribute Name: Geo

Attribute Description: Represents the country value for the given entry in the form of its ISO Alpha-2 abbreviation. All countries in the dataset are OECD countries, and all OECD countries are present in the data.  Attribute Name: Related_Query Attribute Description: Each query is a trending or rising query for the given platform in the given country in the given week on the Google Trends platform.

Attribute Name: Type

Attribute Description: Represents whether the given related query is of type rising or top. Top queries are the absolute most popular queries, while rising queries are queries that have had large spikes in interest over the given week.

Attribute Name: Related_Query_Interest_Score

Attribute Description: This represents the relative interest score for this query by the Google Trends platform. This score is only present for top queries, not rising queries. A score of 100 corresponds to the highest interest query over the given week for that platform and country. 

Attribute Name: Trending_Percentage

Attribute Description: This score represents by what percentage the query increased in interest over the given week, so a score of 200 would mean a rising query doubled versus the previous week. This score is only present for rising queries, not top queries.