{"id":247188,"date":"2022-05-09T13:08:23","date_gmt":"2022-05-09T13:08:23","guid":{"rendered":"https:\/\/imarticus.org\/?p=247188"},"modified":"2022-05-25T13:29:21","modified_gmt":"2022-05-25T13:29:21","slug":"covid-19-data-analysis-using-tableau","status":"publish","type":"post","link":"https:\/\/imarticus.org\/blog\/covid-19-data-analysis-using-tableau\/","title":{"rendered":"Covid-19 Data Analysis Using Tableau"},"content":{"rendered":"

Covid-19 Data Analysis Using Tableau<\/strong><\/h3>\n

Tableau is a fast-growing data visualization and data intelligence software used worldwide to drive better data-driven decisions. Dynamic software manipulates updated data as and when it is introduced into Tableau. A simplistic description of Tableau is a pivot table on steroids. But Tableau is so much more than Excel and other software available in the market for analyzing data.\u00a0<\/span><\/p>\n

Today Tableau is at the forefront of data analysis with millions of users globally. Apart from its advanced features, interactive dashboards have the facility to import data from different data systems like Python and R.\u00a0<\/span><\/p>\n

To be up-to-date on data analysis, get a Tableau certification<\/a><\/strong> by doing a Tableau course or a data science course in India at <\/span>Imarticus Learning<\/span><\/a>.<\/span><\/p>\n

The Covid-19 epidemic has devastated the whole world and resulted in many deaths. It transcended national borders and attacked citizens of all countries without discrimination.\u00a0<\/span><\/p>\n

Many countries maintained a daily tracker of Covid-19 patient statistics to take appropriate action regarding lockdowns, curfew, treatment plans, ensuring availability of medical and health care facilities, availability of oxygen, vaccine production, emission, etc. Tableau software has been handy for all the data at a global level and facilitated decision-making by the governments of the respective countries.<\/span><\/p>\n

Tableau helped government health organizations and companies in data analysis during the Covid-19 epidemic. Given below is the use of a Tableau to track the progress of the Covid-19 epidemic in the U.S.<\/span><\/p>\n

Tableau workday data file was used.<\/strong><\/h4>\n

The Tableau workday data file was used with Tableau Prep Builder and data from John Hopkins to represent a dynamic data representation. The above is a static view of the Tableau Dynamic Prep Builder. A survey of work from home employees, which was administered on the Salesforce platform, is represented below:<\/span><\/p>\n

Filters were used to enable analysis by employee\u2019s region, quota responsibility, and previous work experience from home.<\/span><\/p>\n

Tableau launched the Datahub to make sense of the Covid-19 data.<\/span><\/h4>\n

In India, Covid-19 data was analyzed using Tableau. The analysis of the data focused on the following key data points:<\/span><\/p>\n

    \n
  1. The timeline of the spread in the country<\/span><\/li>\n
  2. The primary reasons for the spread and the various government responses to it.<\/span><\/li>\n
  3. Analysis of research and development.<\/span><\/li>\n
  4. The number of Covid-19 tests carried out and analysis of the same.\u00a0<\/span><\/li>\n<\/ol>\n

    To be up-to-date on data analysis, get a Tableau certification<\/a><\/strong> by doing a Tableau course<\/a><\/strong> or a data science course in India at <\/span>Imarticus Learning<\/a><\/strong>.<\/span><\/p>\n

    Timelines were plotted, charting the return of tourists from Wuhan and the return of tourists from Italy. The various events which led to the congregation of people were all charted.<\/span><\/p>\n

    Most of the reasons for the spread were the various religious congregations in the country belonging to different faiths. This led to the peaking of the Covid-19 cases, as shown in the above chart.<\/span><\/p>\n

    Government responses can be classified as under:-<\/strong><\/h4>\n