Estimating the total employed population and total unemployed rate in India on a monthly statewide map. I dived into Tableau via 7 hours of training to visualize some findings from the Omdena COVID 19 AI project. The aim of this project was to help governments design data-driven policies and enabling them to deal with pandemics like the Coronavirus more effectively and efficiently.
I dived into Tableau via 7 hours of training to visualize some findings from the Omdena COVID 19 AI project. The aim of this project was to help governments design data-driven policies and enabling them to deal with pandemics like the Coronavirus more effectively and efficiently.
As we all know Covid-19 has spread everywhere and caused dramatic negative effects on many company sectors around the world. According to CTV News and Mercury News, only a few companies in this COVID-19 pandemic condition could provide reliable business.
Overall in this project, we researched four sectors affected by the spread of COVID-19, including domestic violence, wage loss, and access to health facilities. This article focuses on employment loss. You can see all findings here.
The datasets used in this study are:
Those policies are rated by government officials based on the severity of the conditions in the country. By other means, they forecast future problems and make decisions to lower the impact that those problems may have on different sectors of the country.
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The agenda of the talk included an introduction to 3D data, its applications and case studies, 3D data alignment and more.