Data Merging and Report Generation ScriptProject 2
This script merges user and order datasets with Pandas, generates shopping category reports with pie charts, and saves outputs to S3.
Datasets integrate with Redshift for analysis. The full interactive report tool is best on a larger screen.
For the complete page, please use a laptop or desktop.
Back to projectsData Merging and Report Generation ScriptProject 2
This script streamlines the process of merging multiple datasets using the Pandas library and generating comprehensive reports with ease.
Whether data is being consolidated from various sources or in-depth analysis is being conducted, this script empowers users to efficiently merge, manipulate, and visualize the data.
This script will generate the pie chart after merging the data, providing a pictorial representation that offers insightful visualizations.
The report and graph will be saved in the S3 bucket.
This project exemplifies the process of merging multiple datasets to create comprehensive reports with insightful visualizations, such as pie charts.
The resulting reports and graphs are stored in an S3 bucket, while datasets are uploaded to Redshift.
Specifically, The script merges two datasets; User Data and Order Data.
User Data containing columns such as User ID,User Name,User DOB, User Email and Registration Date.
Order Data containing columns like Order ID, User ID, Number of Products, Product Name, Order Date and Total Amount.
Subsequently, the merged dataset is used to generate shopping category reports, revealing the percentage of user shopping activity for specific categories.
To access further details about the project, kindly click on the link provided below.
Connecting to Django for a security token…
