Ahmedessamg / ITI-Covid_19-project

ITI project

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ITI-Covid_19-project

Binder

By:

  • Ahmed Essam
  • Andrew Samy
  • Hossam Asaad Elzoghpy
  • Sabreen Khamis Abedelrahman El Jilany

๐ŸŽฏ Contributors

This project exists thanks to: information technology institute(iti) and pluralsight

About the data

COVID-19 Data Repository by the Center for Systems Science and Engineering (CSSE) at Johns Hopkins University

This is the data repository for the 2019 Novel Coronavirus Visual Dashboard operated by the Johns Hopkins University Center for Systems Science and Engineering (JHU CSSE). Also, Supported by ESRI Living Atlas Team and the Johns Hopkins University Applied Physics Lab (JHU APL).

Context

  • A new coronavirus designated 2019-nCoV was first identified in Wuhan, the capital of China's Hubei province
  • People developed pneumonia without a clear cause and for which existing vaccines or treatments were not effective.
  • The virus has shown evidence of human-to-human transmission
  • Transmission rate (rate of infection) appeared to escalate in mid-January 2020
  • As of 30 January 2020, approximately 8,243 cases have been confirmed

Binder

overvieu sample 1 sample 2 missing values variables 1 variables 2 variables 3 variables 4 variables 5

Content

  • full_grouped.csv - Day to day country wise no. of cases (Has County/State/Province level data)
  • covid19clean_complete.csv - Day to day country wise no. of cases (Doesn't have County/State/Province level data)
  • countrywiselatest.csv - Latest country level no. of cases
  • day_wise.csv - Day wise no. of cases (Doesn't have country level data)
  • usacountywise.csv - Day to day county level no. of cases
  • worldometer_data.csv - Latest data from https://www.worldometers.info/

2

Gallery:

tableau (1) https://public.tableau.com/app/profile/ahmed.essam2620/viz/tableaudashboard_16622210906500/Dashboard1 tableau

Power BI 006b4070-0189-4644-8429-55d0a9a638f1

About

ITI project


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