Visualizing India’s COVID-19 Employment Loss with Tableau

Visualizing India’s COVID-19 Employment Loss with Tableau

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.

Sectors affected

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

The datasets used in this study are:

  1. Rural areas unemployment, and labor participation rates.
  2. Urban areas unemployment, and labor participation rates, which are derived by India’s government dataset as above.
  3. Policies enactment date regarding people’s mobility in different measures which is provided by Oxford University called OxCGRT. It provides information about containment and closure policies for this study. Those measures are:
  • C1_School closing
  • C2_Workplace closing
  • C3_Cancel public events
  • C4_Restrictions on gatherings
  • C5_Close public transport
  • C6_Stay at home requirements
  • C7_Restrictions on internal movement
  • C8_International travel controls
  • H1_Public information campaigns

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.

artificial-intelligence covid19 unemployment-rate data-science tableau

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