This visualization presents an in-depth analysis of COVID-19 data using Tableau, which was cleaned and preprocessed using Google BigQuery. The data includes information on confirmed cases and deaths, as well as other relevant metrics. The visualization allows for easy exploration of the data, with the ability to filter and drill down into specific regions and time periods. It also allows for the comparison of different countries and regions, providing insights on the spread and impact of the virus.
This Tableau project analyzes COVID-19 infection rates and death counts to understand the spread of the virus. The data was queried and cleaned using SQL BigQuery, and then visualized in Tableau. The findings from the dashboard as of January 2023 show that around 1% of the world's population who were infected with COVID-19 have died, and Europe has the highest infection death count and rate in the world. The project highlights my ability to use SQL and Tableau to analyze and present data, and to extract valuable insights from the data.
https://ourworldindata.org/covid-deaths
Explore more of my diverse portfolio of data analytics projects, where I have applied my skills to uncover insights and drive results. See the impact of my work through brief overviews, images, visualizations, and learn more about my abilities as a data analyst.
The R and ggplot project is a data analysis and visualization project completed in the R programming language, utilizing the ggplot library. The project involves importing and cleaning data, performing statistical analyses, and creating attractive and informative visualizations to communicate the insights gained from the data.
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Uncovering the impact of COVID-19 through data exploration, cleaning, and manipulation using SQL and seeing the results in the form of four informative tables.
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