The primary objective of this project is to utilize exploratory data analysis techniques to gain a deeper understanding of healthcare considerations, including predicting and diagnosing illnesses. By conducting comprehensive data analysis and employing statistical techniques, we aim to extract meaningful patterns, trends, and correlations from healthcare datasets.
Collaborate with stakeholders and domain experts to identify key healthcare considerations and define specific research questions.
Determine the datasets required to address the research questions and explore data availability and accessibility.
Perform data cleaning and preprocessing tasks, addressing missing values, outliers, and data inconsistencies.
Apply statistical techniques, such as aggregation, correlation, comparison, summary statistics, sentiment analysis, and time series analysis, to uncover insights and patterns within the data.
Create 6-8 visualizations, including charts, graphs, and interactive visual displays, to effectively communicate the findings.
Summarize the major findings and implications of the data analysis at a professional level.
Provide precise descriptions and findings for each research question, supported by relevant numbers and visualizations.
Present a well-discerned statistical analysis, utilizing appropriate techniques, to strengthen the findings and conclusions.