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Coronavirus Data-Analysis with Live Data Streaming from the Website and Made a DASH Web-App at Last.

License: GNU General Public License v3.0

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data coronavirus coronavirus-tracking covid-19 covid19-data covid-19-india coronavirus-real-time python jupyter pycountry countryinfo dash dashboard-application dash-button github covid19 data-analysis data-science data-visualization data-cleaning

covid-19-data-analysis's Introduction

Covid-19-Data-Analysis

Coronavirus or Covid-19 Data Analysis in Python using Dash-Web App and Data Visualisation, that brings out the insightfull data about the cases and increase in cases per day.

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Part 1 of Coronavirus Data-Analysis

  1. Live Data Extraction or Streaming
  2. Data Cleaning
  3. Data Exploration
  4. Data Feature Engineering
  5. Death Rate and Mortality Rate Comaprision
  6. Data Visualisation
  7. Dash Web-App with Update Feature and Graph for Globe.

Part 2 of Coronavirus Data-Analysis

  1. Live Data Extraction or Streaming
  2. Data Cleaning
  3. Data Exploration
  4. Data Feature Engineering
  5. Insights of Cases - Confirmed, Active, Deaths and Recovered.
  6. Data Visualisation for Top 5 Countries - India, US, Spain, Italy and Chaina
  7. Visualise the Increase in Cases per Day.
  8. Visualise the Globe View of Cases with Hotspots.
  9. Extraction of Patterns in which cases are increases.

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