Hello, I'm Murali

Here’s an overview of my project utilizing the QuickSight Service

• This webpage showcases the results of my project.
• I sourced Netflix data in CSV format and transformed it into various visualizations.
• An S3 Bucket was created to store both the CSV file and a newly generated manifest.json file.
• I established a dataset in QuickSight using the S3 service as the data source, connecting both via the manifest.json file.
• QuickSight's analytical features were leveraged to develop interactive dashboards and visualizations.
• I implemented user-level security settings in QuickSight to safeguard sensitive information.
• Insightful reports were produced to facilitate data-driven decision-making.
• I explored various types of visualizations, such as bar charts, pie charts, and line graphs, to effectively depict data trends.
• Calculated fields in QuickSight were utilized to extract additional insights from the dataset.
• Filters were incorporated to allow users to focus on specific segments of the data.
• Click the button below to access the project output.