Business Analytics Interactive Visualization
A Web-base Business Analytics Project Summary
Website link: https://gejix.github.io/SuperStore_BA/
Super Stores approached our team, Blue Ocean, to analyze their data and provide insights for business improvement. Our team consists of five members: a Scrum Master, a Product Owner, a Marketing Manager, a Financial Expert, and a Customer Service Manager.
To start the project, we analyzed Super Stores' sales, customer behavior, and inventory data. We then created an interactive dashboard that presents the data in an easily digestible format, allowing users to explore and manipulate the data for deeper insights. The dashboard served as the foundation for our web-based interactive project, which we built using HTML, CSS, and D3.js.
By using D3.js to recreate the dashboard, we were able to make further improvements to our charts, resulting in a more visually appealing and informative website. Our project provides Super Stores with valuable insights into their business, which can lead to better decision-making and improved profitability.
The provided dataset had vital information to bring impactful changes. The team cleaned, extracted, and formatted the data for each chart's needs to ensure that it was clear and concise, making it easy to interpret and derive meaningful insights that could bring about significant changes to the organization.
The data was obtained from Kaggle, an open-source data platform. This indicates that the data has been authorized by the owner for public use.
Kaggle link: https://www.kaggle.com/datasets/vivek468/superstore-dataset-final
The large dataset obtained from individuals on Kaggle may have some bias due to the possibility of some individuals opting out of data collection. This could result in equal accuracy, demographic bias, or equal parity bias.
Sprints were held every 2-weeks.
We documented the process via a word file.
The minutes of meeting was updated by Yemi.
GitHub was our version control system.
Repository: https://github.com/Gejix/SuperStore_BA
A Dashboard was created to reflect the intended charts to be created and this was delegated to Arinze.
A website was created to host the team's Final project.
Gerald was task with this responsibility.
Website link: https://gejix.github.io/SuperStore_BA
The Team’s progress and backlog was captured using Microsoft Projects and Excel.
Hemanth was Tasked with the sprints update.
The final look of the project had to be cohesive and in sync.
Peace was responsible for refactoring and unifying the charts to achieve this goal.
By using D3.js to recreate the dashboard, we were able to make further improvements to our charts,
resulting in a more visually appealing and informative website. Our project provides Super Stores
with valuable insights into their business, which can lead to better decision-making and improved
profitability.
Website link: https://gejix.github.io/SuperStore_BA
Kaggle link: https://www.kaggle.com/datasets/vivek468/superstore-dataset-final
Visual storytelling with D3: an introduction to data visualization in JavaScript; King, Ritchie S
Other references:
https://d3js.org/
https://jsfiddle.net/rishulmatta/5y4ke6a7/
https://d3-graph-gallery.com/treemap.html
https://observablehq.com/@d3/zoomable-sunburst
https://d3-graph-gallery.com/area.html
https://observablehq.com/@d3/bubble-chart
https://www.youtube.com/@currankelleher
This Project creted out by:
- Gerald Juwah as the ScruM Master
- Peace Turnah as the Finacial analysist
- Arinze Mmaduanu as the Marketing Manager
- OpeyeSamuel-Adeniyi as the Product Owner
- Hemanth Muthya as the customer service manager