Summary of the Projects
In my analysis of financial sample projects I conducted a descriptive analysis using data
obtained from the internet. The first step involved transforming the data to ensure its
quality and relevance for analysis. This transformation process included filtering, sorting,
removing duplicates, and eliminating null values from the dataset.
To gain a comprehensive understanding of the financial performance of the projects, I added
a new column specifically designed to calculate revenue. This addition allowed for a more
thorough evaluation of the financial aspects of each project.
To address statistical challenges and gain deeper insights, I utilized pivot tables. These
tables enabled me to organize and summarize the data effectively, providing solutions to
various statistical problems and uncovering important trends and patterns.
To enhance data exploration, I incorporated slicers, which allowed for dynamic filtering of
the data. This feature facilitated a more interactive and customized analysis, enabling
users to focus on specific aspects of interest.
To improve the interpretation and communication of the findings, I created visualizations.
These visual representations of the data provided clear and intuitive insights into the
analyzed financial sample projects, making it easier for stakeholders to grasp key trends
and relationships.
Throughout the analysis, I actively addressed the client's questions, ensuring that the
findings were relevant to their specific needs and objectives. By leveraging the transformed
and analyzed data, I delivered valuable insights that supported decision-making and
strategic planning related to the financial sample projects on LinkedIn.
In summary, my descriptive analysis of the financial sample projects involved data
transformation, pivot table analysis, dynamic filtering, visualization creation, and
client-specific question answering. This comprehensive approach provided a holistic
understanding of the projects' financial performance and offered valuable insights for
informed decision-making.
#data #projects #planning #vlookup
