- This Repository Presents an Extensive Collection of Data Visualizations developed in Collaboration with Tata Consultancy Services and Forage.
- By Leveraging this Project, we can Uncover Valuable Insights and Enable Informed Decision-Making.
This Project Showcases a Simulation I Completed for Tata Consultancy Services, where I gained Hands-on Experience as a Data Analyst. It Involved creating Data Visualizations and Preparing Strategic Questions for Senior Leadership Meetings. My work focused on developing Visuals to Aid Executives in Effective Decision-Making. This Project Highlights my Ability to handle Multiple Tasks and Deliver Actionable Insights in a Professional setting.
- Project Goal
- Project Motivation
- Dataset
- Dataset Description
- Requirement
- Data Cleaning
- Installation : ETL Tools
- My Project
- Author
- Lessons Learnt
- Acknowledgement
- About Me
- Technical Skills
- Show your Support
This Project is Driven by the Desire to Enhance Analytical Capabilities and Provide Clarity in Complex datasets, ultimately Supporting more Informed and Impactful Business Decisions.
This Project is Motivated by my Aspiration to Gain Hands-on Experience in Data Analysis, Refine my Skills and apply them in a Real-World Context to drive Meaningful Insights.
The Dataset is a Excel File, featuring Comprehensive and Meticulously Detailed Sheet.
- Kindly Access and Download the Dataset via the Link provided below
- Dataset Link :- Raw Data.xlsx
When we examine, we observe a number of Different Columns in the Dataset.
- Invoice No : Unique Identifier assigned to each Invoice for Tracking and Reference Purposes.
- Stock Code : Identifier for the Specific Product or Item being sold.
- Description : Detailed Description of the Product or Item listed on the Invoice.
- Quantity : Number of Units of the Product Purchased in each Transaction.
- Invoice Date : Date on which the Invoice was Generated.
- Unit Price : Price per Individual unit of the Product.
- Customer ID : Unique Identifier assigned to each Customer for Distinguishing between Different Buyers.
- Country : Country where the Customer is Located.
- Revenue : Total Revenue generated from the Sale calculated as Quantity multiplied by Unit Price.
- ✅ Revenue by Month in Year 2011.
- ✅ Top 10 Countries with Highest Revenue.
- ✅ Top 10 Highest Revenue enerating Customers.
- ✅ Revenue by Region.
- Removed unwanted columns.
- Changed the Data Types wherever required.📅
- Removed Duplicates.
- Replaced data with meaningful data etc.📝
- Added a Column "Revenue" by using a Function.
Using the Raw Data, I crafted an Insightful and Visually Compelling Dashboard in Tableau Public.
- Tableau Public Installation Link :- https://public.tableau.com
Comprehensive Analysis has been conducted on the Dataset, illustrated through a Variety of Engaging Plots📊📈.
- Checkout the Analysis here :- Analysis.xlsx
- Checkout the Tableau Dashboard here :- https://github.com/MansiPS/Tata-Data-Visualisation-using-Tableau/blob/056f3d55ec94c2366651c9babefa3b901a7b152b/Data%20Visualisation.twb
- ⭐Data Quality is Crucial
- ⭐Simplicity Enhances Usability
- ⭐Effective Use of Visuals
- ⭐Interactive Elements Add Value
- ⭐Consistent Formatting is Key
- ⭐Performance Optimization Matters
Thank you to TATA and Forage for providing me this Invaluable Oppurtunity, which I leveraged to Enhance my Analysis and Visualization of the Data throughout the Project.
I am Passionately delving into the realm of Data Analytics, engaging in thorough Learning and Hands-on Projects to refine my skills. As I explore Career Opportunities, I am eager to Transform data into Valuable Insights and contribute to a Dynamic and Innovative Organization.
- 📌 LinkedIn :- https://www.linkedin.com/in/mansi-p-s-9052a0311
- 📌 Tableau :- https://public.tableau.com/app/profile/mansi.ps
- 📌 Github :- https://github.com/MansiPS
Exploratory Data Analysis 📊📈👨🏻💻.
Tableau , Power BI
, Looker Studio
.
Pandas, Numpy, Matplotlib, Seaborn, Plotly, Scipy.
If you appreciate this Project, please consider awarding it a ⭐
If you have any Feedback, please reach out to me at LinkedIn :- https://www.linkedin.com/in/mansi-p-s-9052a0311