Covid -19 Data Analysis
About this project
A COVID-19 data analysis project in Tableau could encompass various aspects and stages. Here's an overview of the project:(https://public.tableau.com/app/profile/eliena.jose/viz/Covid_analysis_16986512358850/Covid_analysis)
1. Data Gathering:
Data Collection: Obtained COVID-19 datasets from a reputable source.
Data Structure: Gathered data on cases, deaths, testing, vaccinations, demographics, and geographical details.
2. Data Preparation:
Data Cleaning: Cleansed the data by handling missing values, resolving inconsistencies, and formatting data types correctly.
Data Integration: Merged multiple datasets by aligning them based on common attributes (date, region).
3. Visualization Creation:
Time Series Analysis: Create time-based visualizations (line charts) to illustrate the trends in cases and to determine the percentage population infected over time.
Geospatial Analysis: Used maps to visualize the geographical distribution of cases, to determine the infection across the world.
Global Numbers : Created a data table containing total numbers of cases, deaths and death percentage.
Bar Graph : Illustrated the fatality distribution across different continents.
4. Dashboard Creation:
Interactive Dashboards: Build comprehensive dashboards that allow users to interact with different visualizations, apply filters, and explore the data dynamically.
Storytelling: Construct a cohesive narrative within the dashboard, guiding users through the data's story and highlighting key insights.
