AIRBNB NYC 2019 Capstone Project, The dataset describes the listing activity and metrics in NYC, NY for 2019., Kaggle, The purpose of this analysis is to perform exploratory data analysis as well as data visualization to understand how different factors influence the demand for listing properties on Airbnb., Ultimately use Excel, Pivot table, Pivot Chart, and analysis techniques to make predictions on the availability of the listing properties., Most people prefer to stay in an Entire Home or Apartment. Queens Neighborhood group has a maximum price regarding Room Type and is also the busiest host. Most Listings are from the Manhattan Neighborhood Group. SUPERSTORE DATA Capstone Project, The dataset describes sales of a superstore from a huge supermarket., Kaggle, As per the data set got some valuable insights, data analysis, data visualization, Dashboarding, and Reporting for the superstore., Ultimately use Excel, Pivot table, Pivot Chart, Data cleaning, Slicer, Dashboard, and analysis techniques to solve the questions., We will get the Highest profit, Highest sales, Sub-Category Quantity/ Highest sales, Segment highest Sales, Region Discount, Category wise Highest/Lowest Sales many more results.