fullstuckdev / introduction-to-data-science

Introduction-to-Data-Science

Dataset Information by Taufik Mulyawan

Name: Taufik Mulyawan
NIM: 41821010077
Campus: Mercu Buana University Jakarta

Source:

• Origin: The dataset is sourced from the Harvard Global Data Institute, specifically from a team of researchers affiliated with the institute. Year of Collection: The dataset was collected in 2019.
• Link: https://www.kaggle.com/datasets/mrmorj/hospital-bed-capacity-and-covid19

Size:

• Number of Observations: The dataset contains information for 306 U.S. hospital markets.
• Number of Variables: The dataset includes data for hospital bed capacity and models for nine different COVID-19 infection scenarios. (Specify the exact number of variables if available.)

Data Types:

• Numerical Data: The dataset likely includes numerical information such as hospital bed capacities, infection rates, and time durations for different scenarios.
• Categorical Data: Categorical variables may include hospital referral regions, different COVID-19 infection scenarios (20%, 40%, 60% of the adult population), and any other categorical classifications.
• Text Data: Information derived from surveys and directories may involve text data, such as hospital names, locations, or additional contextual details.

Main data:

Mean values of hospital beds:

Compare Total Hospital Beds vs Adult Population

Compare Available ICU Beds vs Projected Infected Individuals

Compare Population 65+ vs Hospital Beds Needed, Twelve Months

Top 10 Regions with Highest Percentage of Available Beds Needed (Twelve Months)