**Description **

COVID-19 is something we all are aware of by now, it has affected almost each and everything humans have had connection with . With the rise in COVID cases worldwide in early 2020, a lot of movement was seen throughout the world, people were sent back to their native countries or places , as a result places such as AIrports, Ports, Stations became highly populated during that period . As a result , the density of traffic in such places (Airports etc.) increased a lot , this dataset gives us the density of traffic in four international airports during the march-2020 period .

The number of passengers screened at CATSA* checkpoints at Canadian airports increased gradually until the COVID-19 pandemic. In the fiscal year of 2021, the number of screened passengers dropped ** percent compared to the 2019 levels, standing at ************* passengers.

Between 2020-2021, the Covid19 have impact in airport traffic. From public data, a decide to analyze USA and Canada. I started selecting the lower traffic by using SQL in Bigquery, by finding the airport that has less than 70% of traffic in the same period. From 14252 data, I was able the reduce the number at 6152 data. Moving CSV file to Spreadsheet allow me to use Pivot table and filter base of city.

The global economy is seeing significant differences in commercial vehicle activity due to the COVID-19 pandemic. The COVID-19 Mobility Impact Dataset offers insight into changes in commercial vehicle mobility and plotting its course toward recovery. Discover trends that illustrate recovery to pre-pandemic norms by industry and region. Further dive into the impact that has been felt in commercial vehicle activity surrounding airports, seaports, fuel stations, and international borders (including US/Canada and US/Mexico). These mobility changes have had an impact on the flow and transport of goods and services within cities -- peruse datasets that look at city-wide congestion changes and how they are evolving with time. For private and public sector organizations, this dataset supports critical evidence-based decision-making to inform everything from public policy, benchmarking, process optimization, and more. The data is available in BigQuery's EU and US regions: US region EU region This public dataset is hosted in Google BigQuery. Each user receives 1TB of free BigQuery processing every month, which can be used to run queries on this public dataset. Watch thisto get started quickly using BigQuery What is BigQuery? This dataset is created and owned by Geotab. It has significant public interest in light of the COVID-19 crisis. All bytes processed in queries against this dataset will be zeroed out, making this part of the query free. Data joined with the dataset will be billed at the normal rate to prevent abuse. After September 15, queries over these datasets will revert to normal billing rates.